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tabPanel("Select Data", value = "tab_seldata",
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Select Data Set'),
p('Select a data set from the drop down box and click on submit.')
),
column(6, align = 'right',
actionButton(inputId='seldatalink', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=X8b0beNJ64A#t=01m11s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = "center",
selectInput(
inputId = "sel_data",
label = "Select a data set:",
choices = '',
# choices = c('csv', 'excel', 'json', 'spss', 'stata', 'sas'),
selected = '',
width = '200px',
)
)
),
fluidRow(
column(12, align = 'center',
br(),
actionButton(inputId = 'submit_seldata', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_seldata", "Click here to select data.",
"bottom", options = list(container = "body")))
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_seldata.R |
tabPanel('Select Variables', value = 'tab_selvar',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Select Variables'),
p('Click on Yes to select variables.')
),
column(6, align = 'right',
actionButton(inputId='selvarlink', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=X8b0beNJ64A#t=02m13s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
h4('Do you want to select variables?')
)
),
fluidRow(
column(6, align = 'right',
actionButton(
inputId = 'button_selvar_yes',
label = 'Yes',
width = '120px'
)
),
column(6, align = 'left',
actionButton(
inputId = 'button_selvar_no',
label = 'No',
width = '120px'
)
)
),
fluidRow(
br(),
br(),
uiOutput('show_sel_button')
),
fluidRow(
uiOutput('sub_sel_button')
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_select.R |
tabPanel('Transform', value = 'tab_trans', icon = icon('rotate-right'),
navlistPanel(id = 'navlist_trans',
well = FALSE,
widths = c(2, 10),
source('ui/ui_seldata.R', local = TRUE)[[1]],
source('ui/ui_transform2.R', local = TRUE)[[1]],
source('ui/ui_select.R', local = TRUE)[[1]],
source('ui/ui_filter.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_trans.R |
tabPanel('Transform', value = 'tab_transform',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Data Transformation'),
p('Rename variables and modify data types.')
),
column(6, align = 'right',
actionButton(inputId='translink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=X8b0beNJ64A#t=01m20s', '_blank')")
)
),
hr(),
fluidRow(
column(3, tags$h5('Variable')),
column(3, tags$h5('Rename Variable')),
column(3, tags$h5('Modify Data Type'))
),
column(12, uiOutput('trans_try')),
fluidRow(
tags$br()
),
fluidRow(
column(12, align = 'center',
br(),
actionButton(inputId="apply_changes", label="Apply Changes", icon = icon('thumbs-up')),
bsTooltip("apply_changes", "Click here to apply changes to data.",
"top", options = list(container = "body")),
br(),
br()
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_transform2.R |
tabPanel('Get Data', value = 'tab_upload', icon = icon('server'),
navlistPanel(id = 'navlist_up',
well = FALSE,
widths = c(2, 10),
source('ui/ui_dataoptions.R', local = TRUE)[[1]],
source('ui/ui_datafiles.R', local = TRUE)[[1]],
source('ui/ui_datasamples.R', local = TRUE)[[1]]
# source('ui/ui_upload.R', local = TRUE)[[1]],
# source('ui/ui_excel.R', local = TRUE)[[1]],
# source('ui/ui_json.R', local = TRUE)[[1]],
# source('ui/ui_stata.R', local = TRUE)[[1]],
# source('ui/ui_spss.R', local = TRUE)[[1]],
# source('ui/ui_sas.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_up.R |
tabPanel('Model Validation', value = 'tab_valid', icon = icon('cubes'),
navlistPanel(id = 'navlist_valid',
well = FALSE,
widths = c(2, 10),
source('ui/ui_conf_matrix.R', local = TRUE)[[1]],
source('ui/ui_hoslem_test.R', local = TRUE)[[1]],
source('ui/ui_gains_table.R', local = TRUE)[[1]],
source('ui/ui_roc_curve.R', local = TRUE)[[1]],
source('ui/ui_ks_chart.R', local = TRUE)[[1]],
source('ui/ui_lorenz_curve.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_valid.R |
tabPanel('Variable Selection', value = 'tab_varsel', icon = icon('cubes'),
navlistPanel(id = 'navlist_varsel',
well = FALSE,
widths = c(2, 10),
source('ui/ui_varsel_forward.R', local = TRUE)[[1]],
source('ui/ui_varsel_backward.R', local = TRUE)[[1]],
source('ui/ui_varsel_stepwise.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_varsel.R |
tabPanel('Backward Elimination', value = 'tab_varsel_backward',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Backward Elimination')
),
column(6, align = 'right',
actionButton(inputId='varsel_be', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://blorr.rsquaredacademy.com/reference/blr_backward_elimination.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("varsel_be_fmla", label = '', width = '660px',
value = ""),
bsTooltip("varsel_be_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Trace:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'trace_varsel_be', label = '',
value = FALSE),
bsTooltip("trace_varsel_be", "Trace elimination steps.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_varsel_be', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_varsel_be", "Click here to view backward elimination result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(2),
column(10, align = 'left', verbatimTextOutput('regress_varsel_be'))
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_varsel_backward.R |
tabPanel('Forward Selection', value = 'tab_varsel_forward',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Forward Selection')
),
column(6, align = 'right',
actionButton(inputId='varsel_fe', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://blorr.rsquaredacademy.com/reference/blr_forward_selection.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("varsel_fe_fmla", label = '', width = '660px',
value = ""),
bsTooltip("varsel_fe_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Trace:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'trace_varsel_fe', label = '',
value = FALSE),
bsTooltip("trace_varsel_fe", "Trace selection steps.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_varsel_fe', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_varsel_fe", "Click here to view forward selection results.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(2),
column(10, align = 'left', verbatimTextOutput('regress_varsel_fe'))
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_varsel_forward.R |
tabPanel('Stepwise Selection', value = 'tab_varsel_stepwise',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Stepwise Selection')
),
column(6, align = 'right',
actionButton(inputId='varsel_se', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://blorr.rsquaredacademy.com/reference/blr_stepwise_selection.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("varsel_se_fmla", label = '', width = '660px',
value = ""),
bsTooltip("varsel_se_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Trace:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'trace_varsel_se', label = '',
value = FALSE),
bsTooltip("trace_varsel_se", "Trace selection steps.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_varsel_se', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_varsel_se", "Click here to view stepwise selection results.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(2),
column(10, align = 'left', verbatimTextOutput('regress_varsel_se'))
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_varsel_stepwise.R |
tabPanel('View', value = 'tab_vi', icon = icon('sort'),
navlistPanel(id = 'navlist_vi',
well = FALSE,
widths = c(2, 10),
source('ui/ui_view.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_vi.R |
tabPanel('View', value = 'tab_view',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='view2getdata', label=" Get Data", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='view2analyze', label="Analyze Data", icon = icon("long-arrow-right"))
)
),
hr(),
fluidRow(
dataTableOutput(outputId = "table")
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_view.R |
tabPanel('WoE & IV', value = 'tab_woe_iv',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Weight of Evidence & Information Value')
),
column(6, align = 'right',
actionButton(inputId='woelink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://blorr.rsquaredacademy.com/reference/blr_woe_iv.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Response Variable:')),
column(4, align = 'left',
selectInput("resp_woe", label = '',
choices = '', selected = '')),
bsTooltip("resp_woe", "Select response variable.",
"left", options = list(container = "body"))
),
fluidRow(
column(2, align = 'right', br(), h5('Predictor Variable:')),
column(10, align = 'left',
selectInput("var_woe", label = '',
choices = "", selected = ""),
bsTooltip("var_woe", "Select predictor.",
"left", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_woe', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_bivar", "Click here to view WoE & IV.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('woe_out')
)
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_woe_iv.R |
tabPanel('WoE & IV Stats', value = 'tab_woe_iv_stats',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('WoE & IV Stats')
),
column(6, align = 'right',
actionButton(inputId='woe2link1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://blorr.rsquaredacademy.com/reference/blr_woe_iv_stats.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Response Variable:')),
column(4, align = 'left',
selectInput("resp_woe2", label = '',
choices = '', selected = '')),
bsTooltip("resp_woe2", "Select response variable.",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Predictor Variables:')),
column(10, align = 'left',
selectInput("var_woe2", label = '', width = '660px',
choices = "", selected = "", multiple = TRUE,
selectize = TRUE),
bsTooltip("var_woe2", "Select variables.",
"left", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_woe2', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_woe2", "Click here to view WoE & IV.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('woe2_out')
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui/ui_woe_iv_stats.R |
library(shiny)
library(shinyBS)
library(shinythemes)
library(descriptr)
library(dplyr)
shinyUI(
navbarPage(HTML("blorr"), id = 'mainpage',
source('ui/ui_data.R', local = TRUE)[[1]],
source('ui/ui_analyze.R', local = TRUE)[[1]],
source('ui/ui_exit_button.R', local = TRUE)[[1]]
))
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-blorr/ui.R |
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.factor)]
# validate(need(!is.null(dim(num_data)), 'Please select two factor variables.'))
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var1_cross',
choices = names(numdata), selected = names(numdata))
updateSelectInput(session, 'var2_cross',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var1_cross',
choices = '', selected = '')
updateSelectInput(session, 'var2_cross',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var1_cross', choices = names(num_data))
updateSelectInput(session, 'var2_cross', choices = names(num_data))
}
})
# observeEvent(input$finalok, {
# num_data <- final_split$train[, sapply(final_split$train, is.factor)]
# # validate(need(!is.null(dim(num_data)), 'Please select two factor variables.'))
# if (is.null(dim(num_data))) {
# k <- final_split$train %>% map(is.factor) %>% unlist()
# j <- names(which(k == TRUE))
# numdata <- tibble::as_data_frame(num_data)
# colnames(numdata) <- j
# updateSelectInput(session, 'var1_cross',
# choices = names(numdata), selected = names(numdata))
# updateSelectInput(session, 'var2_cross',
# choices = names(numdata), selected = names(numdata))
# } else if (ncol(num_data) < 1) {
# updateSelectInput(session, 'var1_cross',
# choices = '', selected = '')
# updateSelectInput(session, 'var2_cross',
# choices = '', selected = '')
# } else {
# updateSelectInput(session, 'var1_cross', choices = names(num_data))
# updateSelectInput(session, 'var2_cross', choices = names(num_data))
# }
# })
# selected data
d_cross <- eventReactive(input$submit_cross, {
# validate(need((input$var1_cross != '' & input$var2_cross != ''), 'Please select two variables.'))
data <- final_split$train[, c(input$var1_cross, input$var2_cross)]
})
# column names
conames <- reactive({
colnames(d_cross())
})
cross_out <- eventReactive(input$submit_cross, {
k <- ds_cross_table(final_split$train, !! sym(as.character(input$var1_cross)),
!! sym(as.character(input$var2_cross)))
k
})
# cross table
output$cross <- renderPrint({
cross_out()
})
c1_title <- eventReactive(input$submit_cross, {
h3('Stacked Bar Plot', style = 'align:center;')
})
output$cross1_title <- renderUI({
c1_title()
})
c2_title <- eventReactive(input$submit_cross, {
h3('Grouped Bar Plot', style = 'align:center;')
})
output$cross2_title <- renderUI({
c2_title()
})
c3_title <- eventReactive(input$submit_cross, {
h3('Proportional Bar Plot', style = 'align:center;')
})
output$cross3_title <- renderUI({
c3_title()
})
output$cross_bar_stacked <- renderPlot({
plot(cross_out(), stacked = TRUE)
})
output$cross_bar_grouped <- renderPlot({
plot(cross_out())
})
output$cross_bar_proportional <- renderPlot({
plot(cross_out(), proportional = TRUE)
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_cross.R |
observeEvent(input$sample_data_yes, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_use_sample')
})
file_upload_options <- eventReactive(input$upload_files_yes, {
fluidRow(
column(3, align = 'center',
actionButton(
inputId = 'upload_csv_file',
label = 'CSV',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_xls_file',
label = 'XLS',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_xlsx_file',
label = 'XLSX',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_json_file',
label = 'JSON',
width = '120px'
)
),
column(12, br()),
column(3, align = 'center',
actionButton(
inputId = 'upload_stata_file',
label = 'STATA',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_spss_file',
label = 'SPSS',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_sas_file',
label = 'SAS',
width = '120px'
)
)
)
})
output$upload_file_links <- renderUI({
file_upload_options()
})
observeEvent(input$upload_csv_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tab_uploadfile', selected = 'tab_upload_csv')
})
observeEvent(input$upload_xls_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_excel')
})
observeEvent(input$upload_xlsx_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_excel')
})
observeEvent(input$upload_json_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_json')
})
observeEvent(input$upload_stata_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_stata')
})
observeEvent(input$upload_spss_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_spss')
})
observeEvent(input$upload_sas_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_sas')
}) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_dataoptions.R |
# Exit ---------------------------------------------------------------
observe({
if (isTRUE(input$mainpage == "exit")) {
stopApp()
}
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_exit_button.R |
filt_ui <- eventReactive(input$button_filt_yes, {
fluidRow(
column(12, align = 'center',
selectInput(
inputId = 'dplyr_filter',
label = 'Filter:',
choices = '',
selected = '',
width = '120px'
)
),
column(12, align = 'center',
selectInput(
inputId = 'dplyr_filt_op',
label = 'Select Operator',
choices = c('<', '>', '<=', '>=', '=='),
selected = '',
width = '120px'
)
),
column(12, align = 'center',
textInput(
inputId = 'dplyr_filt_val',
label = 'Value',
value = '20',
width = '120px'
)
),
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_dply_filt', label = 'Filter', width = '120px', icon = icon('check')),
bsTooltip("submit_dply_filt", "Click here to filter data.",
"bottom", options = list(container = "body"))
)
)
})
output$filt_render <- renderUI(
filt_ui()
)
observeEvent(input$button_filt_yes, {
updateSelectInput(
session,
inputId = "dplyr_filter",
choices = names(final_sel$a),
selected = names(final_sel$a)
)
})
observeEvent(input$submit_dply_selvar, {
updateSelectInput(
session,
inputId = "dplyr_filter",
choices = names(finalsel()),
selected = names(finalsel())
)
})
filt_data <- reactiveValues(p = NULL)
observeEvent(input$submit_dply_selvar, {
filt_data$p <- final_sel$a
})
observeEvent(input$button_filt_yes, {
filt_data$p <- final_sel$a
})
observeEvent(input$submit_dply_filt, {
filt_data$p <- filt_data$p %>%
filter_(paste(input$dplyr_filter, input$dplyr_filt_op, input$dplyr_filt_val))
})
observeEvent(input$button_filt_no, {
filt_data$p <- final_sel$a
})
observeEvent(input$button_filt_no, {
updateNavbarPage(session, 'mainpage', selected = 'tab_scr')
updateNavlistPanel(session, 'navlist_trans', 'tab_screen')
})
filttrans <- eventReactive(input$button_filt_yes, {
fluidRow(
column(6, align = 'left',
actionButton(inputId='filt2dvarsel', label="Select Variables", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='filt2screen', label="Screen Data", icon = icon("long-arrow-right"))
)
)
})
output$filt_trans <- renderUI({
filttrans()
})
observeEvent(input$filt2dvarsel, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_selvar')
})
observeEvent(input$filt2screen, {
updateNavbarPage(session, 'mainpage', selected = 'tab_scr')
updateNavlistPanel(session, 'navlist_trans', 'tab_screen')
})
# filtered <- eventReactive(input$submit_dply_filt, {
# k <- final_sel() %>%
# filter_(paste(input$dplyr_filter, input$dplyr_filt_op, input$dplyr_filt_val))
# k
# # k <- filter_(final_sel(), paste(input$dplyr_filter, input$dplyr_filt_op, input$dplyr_filt_val))
# # k
# }) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_filter.R |
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
f_data <- tibble::as_data_frame(num_data)
colnames(f_data) <- j
updateSelectInput(session,
inputId = "var_table",
choices = names(f_data))
} else {
updateSelectInput(session,
inputId = "var_table",
choices = names(num_data))
}
})
observeEvent(input$submit_part_train_per, {
num_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
f_data <- tibble::as_data_frame(num_data)
colnames(f_data) <- j
updateSelectInput(session,
inputId = "var_table",
choices = names(f_data))
} else {
updateSelectInput(session,
inputId = "var_table",
choices = names(num_data))
}
})
# selected data
d_freq_qual <- eventReactive(input$submit_fqual, {
# validate(need(input$var_table != '', 'Please select a variable.'))
data <- final_split$train[, c(input$var_table)]
fdata <- as.data.frame(data)
names(fdata) <- input$var_table
fdata
})
fqual_out <- eventReactive(input$submit_fqual, {
ki <- ds_freq_table(final_split$train, !! sym(as.character(input$var_table)))
ki
})
f1_title <- eventReactive(input$submit_fqual, {
h3('Frequency Table')
})
output$freq1_title <- renderUI({
f1_title()
})
# output
output$freq_qual <- renderPrint({
fqual_out()
})
output$qual_vert <- renderPlot({
plot(fqual_out())
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_freq_qual.R |
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, inputId = "var_freq_quant",
choices = names(numdata))
updateSliderInput(session = session,
inputId = 'filter_quant',
min = min(numdata),
max = max(numdata),
step = 1,
value = c(min(numdata), max(numdata))
)
} else if (ncol(num_data) < 1) {
updateSelectInput(session, inputId = "var_freq_quant",
choices = '', selected = '')
updateSliderInput(session = session,
inputId = 'filter_quant',
value = '')
} else {
updateSelectInput(session, 'var_freq_quant',
choices = names(num_data), selected = names(num_data))
updateSliderInput(session = session,
inputId = 'filter_quant',
min = min(num_data),
max = max(num_data),
step = 1,
value = c(min(num_data), max(num_data))
)
}
})
observeEvent(input$submit_part_train_per, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, inputId = "var_freq_quant",
choices = names(numdata))
updateSliderInput(session = session,
inputId = 'filter_quant',
min = min(numdata),
max = max(numdata),
step = 1,
value = c(min(numdata), max(numdata))
)
} else if (ncol(num_data) < 1) {
updateSelectInput(session, inputId = "var_freq_quant",
choices = '', selected = '')
updateSliderInput(session = session,
inputId = 'filter_quant',
value = '')
} else {
updateSelectInput(session, 'var_freq_quant',
choices = names(num_data), selected = names(num_data))
updateSliderInput(session = session,
inputId = 'filter_quant',
min = min(num_data),
max = max(num_data),
step = 1,
value = c(min(num_data), max(num_data))
)
}
})
# selected data
d_freq_quant <- eventReactive(input$submit_fquant, {
data <- final_split$train[, input$var_freq_quant]
})
# update filter slider
observe({
updateSliderInput(session = session,
inputId = 'filter_quant',
min = min(d_freq_quant()),
max = max(d_freq_quant()),
step = 1,
value = c(min(d_freq_quant()), max(d_freq_quant()))
)
})
# # filters
fil_quant_data <- reactive({
min_data <- input$filter_quant[1]
max_data <- input$filter_quant[2]
# f_data <- d_summary()[d_summary()[, 1] >= min_data & d_summary()[, 1] <= max_data, 1]
f_data <- d_freq_quant()[d_freq_quant() >= min_data & d_freq_quant() <= max_data]
fdata <- as.data.frame(f_data)
names(fdata) <- as.character(input$var_freq_quant)
fdata
})
fquant_out <- eventReactive(input$submit_fquant, {
ko <- ds_freq_table(fil_quant_data(),
!! sym(as.character(input$var_freq_quant)),
input$bins)
ko
})
f2_title <- eventReactive(input$submit_fquant, {
h3('Histogram')
})
output$freq2_title <- renderUI({
f2_title()
})
output$freq_quant <- renderPrint({
fquant_out()
})
output$hist_freq_quant <- renderPlot({
plot(fquant_out())
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_freq_quant.R |
# descriptive statistics
# observe({
# updateSelectInput(session,
# inputId = "var_group",
# choices = names(data()),
# selected = '')
# updateSelectInput(session,
# inputId = "var_grp_summary",
# choices = names(data()),
# selected = '')
# })
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
fact_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(fact_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
f_data <- tibble::as_data_frame(fact_data)
colnames(f_data) <- j
updateSelectInput(session,
inputId = "var_group",
choices = names(f_data))
} else {
updateSelectInput(session,
inputId = "var_group",
choices = names(fact_data))
}
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, inputId = "var_grp_summary",
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, inputId = "var_grp_summary",
choices = '', selected = '')
} else {
updateSelectInput(session, inputId = "var_grp_summary",
choices = names(num_data), selected = names(num_data))
}
})
observeEvent(input$submit_part_train_per, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
fact_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(fact_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
f_data <- tibble::as_data_frame(fact_data)
colnames(f_data) <- j
updateSelectInput(session,
inputId = "var_group",
choices = names(f_data))
} else {
updateSelectInput(session,
inputId = "var_group",
choices = names(fact_data))
}
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, inputId = "var_grp_summary",
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, inputId = "var_grp_summary",
choices = '', selected = '')
} else {
updateSelectInput(session, inputId = "var_grp_summary",
choices = names(num_data), selected = names(num_data))
}
})
# selected data
d_group_summary <- eventReactive(input$submit_gsummary, {
# validate(need(input$var_group != '', 'Please select a grouping and summary variable.'))
data <- final_split$train[, c(input$var_group,
input$var_grp_summary)]
})
gsummary_out <- eventReactive(input$submit_gsummary, {
ko <- ds_group_summary(d_group_summary(),
!! sym(as.character(input$var_group)),
!! sym(as.character(input$var_grp_summary)))
ko
})
g1_title <- eventReactive(input$submit_gsummary, {
h3('Box Plot')
})
output$group1_title <- renderUI({
g1_title()
})
output$group_summary <- renderPrint({
gsummary_out()
})
output$box_group_summary <- renderPlot({
plot(gsummary_out())
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_group_summary.R |
eda_menu <- eventReactive(input$finalok, {
fluidRow(
column(12),
br(),
column(12, align = 'center',
h5('What do you want to do?')
),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate detailed descriptive statistics for a continuous variable: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_1',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate frequency distribution of a categorical variable: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_2',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate frequency distribution a continuous variable: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_3',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate two way table of categorical variables: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_4',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate multiple one way tables of categorical variables: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_5',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate multiple two way tables of categorical variables: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_6',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate grouped summary statistics: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_7',
label = 'Click Here',
width = '120px'
)
),
column(3)
)
})
output$eda_options <- renderUI({
eda_menu()
})
observeEvent(input$click_descriptive, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_eda_home')
})
observeEvent(input$click_distributions, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_dist_home')
})
observeEvent(input$click_inference, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_infer_home')
})
observeEvent(input$click_model, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_model_home')
})
observeEvent(input$click_visualize, {
updateNavbarPage(session, 'mainpage', selected = 'tab_viz_home')
updateNavlistPanel(session, 'navlist_vizmenu', 'tab_home_viz')
})
# observeEvent(input$click_visualize, {
# updateNavbarPage(session, 'mainpage', selected = 'tab_viz_lib')
# })
observeEvent(input$button_1, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_summary')
})
observeEvent(input$button_2, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_fqual')
})
observeEvent(input$button_3, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_fquant')
})
observeEvent(input$button_4, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_cross')
})
observeEvent(input$button_5, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_mult1')
})
observeEvent(input$button_6, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_mult2')
})
observeEvent(input$button_7, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_gsummary')
})
observeEvent(input$button_dist_home_1, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_norm')
})
observeEvent(input$button_dist_home_2, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_t')
})
observeEvent(input$button_dist_home_3, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_chisq')
})
observeEvent(input$button_dist_home_4, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_binom')
})
observeEvent(input$button_dist_home_5, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_f')
})
observeEvent(input$button_infer_home_1, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_infer1_home')
})
observeEvent(input$button_infer_home_2, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_infer2_home')
})
observeEvent(input$button_infer_home_3, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_infer3_home')
})
# links for inferential statistics
observeEvent(input$inf_menu_1_t, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_ttest')
})
observeEvent(input$inf_menu_1_var, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_osvartest')
})
observeEvent(input$inf_menu_1_prop, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_osproptest')
})
observeEvent(input$inf_menu_1_chi, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_chigof')
})
observeEvent(input$inf_menu_1_runs, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_runs')
})
observeEvent(input$inf_menu_2_it, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_indttest')
})
observeEvent(input$inf_menu_2_pt, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_indttest')
})
observeEvent(input$inf_menu_2_binom, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_binomtest')
})
observeEvent(input$inf_menu_2_var, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_tsvartest')
})
observeEvent(input$inf_menu_2_prop, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_tsproptest')
})
observeEvent(input$inf_menu_2_chi, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_chict')
})
observeEvent(input$inf_menu_2_mcnemar, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_mcnemar')
})
observeEvent(input$inf_menu_3_anova, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_anova')
})
observeEvent(input$inf_menu_3_levene, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_levtest')
})
observeEvent(input$inf_menu_3_cochran, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_cochran')
})
## visulization links
observeEvent(input$click_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_viz_home')
updateNavlistPanel(session, 'navlist_vizmenu', 'tab_viz_base')
})
observeEvent(input$click_ggplot2, {
updateNavbarPage(session, 'mainpage', selected = 'tab_viz_home')
updateNavlistPanel(session, 'navlist_vizmenu', 'tab_viz_gg')
})
observeEvent(input$click_prh, {
updateNavbarPage(session, 'mainpage', selected = 'tab_viz_home')
updateNavlistPanel(session, 'navlist_vizmenu', 'tab_viz_others')
})
## link viz libraries to tabs
observeEvent(input$click_bar_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_bar')
})
observeEvent(input$click_bar2_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_bar2')
})
observeEvent(input$click_box_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_box')
})
observeEvent(input$click_box2_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_box2')
})
observeEvent(input$click_line_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_line')
})
observeEvent(input$click_scatter_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_scatter')
})
observeEvent(input$click_hist_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_hist')
})
observeEvent(input$click_pie_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_pie')
})
observeEvent(input$click_pie2_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_pie3d')
})
## ggplot2
observeEvent(input$click_bar_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gbar')
})
observeEvent(input$click_bar2_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gbar2')
})
observeEvent(input$click_box_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gbox')
})
observeEvent(input$click_box2_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gbox2')
})
observeEvent(input$click_line_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gline1')
})
observeEvent(input$click_scatter_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gscatter')
})
observeEvent(input$click_hist_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_ghist')
})
observeEvent(input$click_pie_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gpie')
})
observeEvent(input$click_line2_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gline2')
})
## others
observeEvent(input$click_bar_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_bar_plot_1')
})
observeEvent(input$click_bar2_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_bar_plot_2')
})
observeEvent(input$click_box_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_box_plot_1')
})
observeEvent(input$click_box2_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_box_plot_2')
})
observeEvent(input$click_line_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_line_prh')
})
observeEvent(input$click_scatter_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_scatter_prh')
})
observeEvent(input$click_hist_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_hist_prh')
})
observeEvent(input$click_pie_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_pie_prh')
})
## model links
observeEvent(input$model_reg_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_regress')
})
observeEvent(input$model_varsel_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_var_select')
})
observeEvent(input$model_resdiag_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_res_diag')
})
observeEvent(input$model_het_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_hetero')
})
observeEvent(input$model_coldiag_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_regcollin')
})
observeEvent(input$model_infl_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_inflobs')
})
observeEvent(input$model_fit_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_mfit')
})
observeEvent(input$model_varcontrib_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_regvarcont')
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_home.R |
output$mult1 <- renderPrint({
num_data <- final_split$train[, sapply(final_split$train, is.factor)]
# validate(need(!is.null(dim(num_data)), 'Data must have at least 2 factor variables.'))
if (is.null(dim(num_data))) {
out <- NULL
} else if (ncol(num_data) < 2) {
out <- NULL
} else {
ds_oway_tables(final_split$train)
}
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_mult1.R |
output$mult2 <- renderPrint({
num_data <- final_split$train[, sapply(final_split$train, is.factor)]
# validate(need(!is.null(dim(num_data)), 'Data must have at least 3 factor variables.'))
if (is.null(dim(num_data))) {
out <- NULL
} else if (ncol(num_data) < 3) {
out <- NULL
} else {
ds_tway_tables(final_split$train)
}
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_mult2.R |
# output
output$screen <- renderPrint({
ds_screener(filt_data$p)
})
observeEvent(input$finalok, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
# updateNavlistPanel(session, 'navlist_eda', 'tab_eda')
})
final_split <- reactiveValues(train = NULL)
observeEvent(input$finalok, {
final_split$train <- filt_data$p
}) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_screen.R |
show_but_sel <- eventReactive(input$button_selvar_yes, {
column(12, align = 'center',
selectInput(
inputId = 'dplyr_selvar',
label = '',
choices = '',
selected = '',
multiple = TRUE,
selectize = TRUE
)
)
})
output$show_sel_button <- renderUI({
show_but_sel()
})
sel_sub_but <- eventReactive(input$button_selvar_yes, {
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_dply_selvar', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_seldata", "Click here to select variables.",
"bottom", options = list(container = "body"))
)
})
output$sub_sel_button <- renderUI({
sel_sub_but()
})
observe({
updateSelectInput(
session,
inputId = "dplyr_selvar",
choices = names(data()),
selected = names(data())
)
})
observeEvent(input$button_selvar_yes, {
updateSelectInput(
session,
inputId = "dplyr_selvar",
choices = names(final()),
selected = names(final())
)
})
final_sel <- reactiveValues(a = NULL)
finalsel <- eventReactive(input$submit_dply_selvar, {
k <- final() %>%
select(input$dplyr_selvar)
k
})
observeEvent(input$submit_dply_selvar, {
final_sel$a <- finalsel()
})
observeEvent(input$button_selvar_no, {
final_sel$a <- final()
})
observeEvent(input$button_selvar_no, {
removeUI(
selector = "div:has(> #dplyr_selvar)"
)
removeUI(
selector = "div:has(> #submit_dply_selvar)"
)
})
observeEvent(input$button_selvar_no, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_filter')
})
observeEvent(input$submit_dply_selvar, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_filter')
}) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_select.R |
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, inputId = "var_summary",
choices = names(numdata), selected = names(numdata))
updateSliderInput(session = session,
inputId = 'filter_summary',
min = min(numdata),
max = max(numdata),
step = 1,
value = c(min(numdata), max(numdata))
)
} else if (ncol(num_data) < 1) {
updateSelectInput(session, inputId = "var_summary",
choices = '', selected = '')
updateSliderInput(session = session,
inputId = 'filter_summary',
value = '')
} else {
updateSelectInput(session, 'var_summary',
choices = names(num_data), selected = names(num_data))
updateSliderInput(session = session,
inputId = 'filter_summary',
min = min(num_data),
max = max(num_data),
step = 1,
value = c(min(num_data), max(num_data))
)
}
})
observeEvent(input$submit_part_train_per, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, inputId = "var_summary",
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, inputId = "var_summary",
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_summary',
choices = names(num_data), selected = names(num_data))
}
})
# selected data
d_summary <- eventReactive(input$submit_summary, {
# validate(need(input$var_summary != '', 'Please select a variable.'))
req(input$var_summary)
ds_summary_stats(final_split$train, !! sym(input$var_summary))
})
# output
output$summary <- renderPrint({
# summary_stats(fil_data())
d_summary()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_summary.R |
library(stringr)
output$trans_try <- renderUI({
ncol <- as.integer(ncol(uploadata$t))
lapply(1:ncol, function(i) {
fluidRow(
column(3,
selectInput(paste("n_col_", i), label = '', width = '150px',
choices = names(uploadata$t)[i], selected = names(uploadata$t)[i])
),
column(3,
textInput(paste("new_name_", i),
label = '', width = '150px',
value = names(uploadata$t)[i])
),
column(3,
selectInput(paste0("data_type_", i),
label = '', width = '150px',
choices = c('numeric', 'factor', 'Date', 'character', 'integer'),
selected = class(uploadata$t[[i]]))
),
column(3,
conditionalPanel(condition = paste(paste0("input.data_type_", i), "== 'Date'"),
column(4, br(), tags$h5('Format')),
column(8,
selectInput(paste("date_type_", i),
label = '', width = '150px',
choices = c('%d %m %y', '%d %m %Y', '%y %m %d', '%Y %m %d', '%d %y %m', '%d %Y %m',
'%m %d %y', '%m %d %Y', '%y %d %m', '%Y %d %m', '%m %y %d', '%m %Y %d',
'%d/%m/%y', '%d/%m/%Y', '%y/m /%d', '%Y/%m/%d', '%d/%y/%m', '%d/%Y/%m',
'%m/%d/%y', '%m/%d/%Y', '%y/%d/%m', '%Y/%d/%m', '%m/%y/%d', '%m/%Y/%d',
'%d-%m-%y', '%d-%m-%Y', '%y-m -%d', '%Y-%m-%d', '%d-%y-%m', '%d-%Y-%m',
'%m-%d-%y', '%m-%d-%Y', '%y-%d-%m', '%Y-%d-%m', '%m-%y-%d', '%m-%Y-%d'
),
selected = '%Y %m %d')
)
)
)
)
})
})
original <- reactive({
uploadata$t
})
save_names <- reactive({
names(original())
})
n <- reactive({
length(original())
})
data_types <- reactive({
ncol <- as.integer(ncol(uploadata$t))
collect <- list(lapply(1:ncol, function(i) {
input[[paste0("data_type_", i)]]
}))
colors <- unlist(collect)
})
new_names <- reactive({
ncol <- as.integer(ncol(uploadata$t))
collect <- list(lapply(1:ncol, function(i) {
input[[paste("new_name_", i)]]
}))
colors <- unlist(collect)
colnames <- str_replace(colors, " ", "_")
})
# original <- reactive({
# data()
# })
# save_names <- reactive({
# names(original())
# })
# n <- reactive({
# length(original())
# })
# data_types <- reactive({
# ncol <- as.integer(ncol(data()))
# collect <- list(lapply(1:ncol, function(i) {
# input[[paste0("data_type_", i)]]
# }))
# colors <- unlist(collect)
# })
# new_names <- reactive({
# ncol <- as.integer(ncol(data()))
# collect <- list(lapply(1:ncol, function(i) {
# input[[paste("new_name_", i)]]
# }))
# colors <- unlist(collect)
# colnames <- str_replace(colors, " ", "_")
# })
copy <- eventReactive(input$apply_changes, {
out <- list()
for (i in seq_len(n())) {
if (data_types()[i] == 'Date') {
inp <- eval(parse(text = paste0('input$', paste0('date_type_', i))))
out[[i]] <- eval(parse(text = paste0("as.", data_types()[i], "(original()$", save_names()[i], ", ", inp, ")")))
} else {
out[[i]] <- eval(parse(text = paste0("as.", data_types()[i], "(original()$", save_names()[i], ")")))
}
}
names(out) <- new_names()
return(out)
})
final <- eventReactive(input$apply_changes, {
data.frame(copy(), stringsAsFactors = F)
})
observeEvent(input$apply_changes, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_selvar')
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_transform2.R |
# importing data
inFile1 <- reactive({
if(is.null(input$file1)) {
return(NULL)
} else {
input$file1
}
})
data1 <- reactive({
if(is.null(inFile1())) {
return(NULL)
} else {
read.csv(inFile1()$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
}
})
# importing data
inFile2 <- reactive({
if(is.null(input$file2)) {
return(NULL)
} else {
input$file2
}
})
data2 <- reactive({
if(is.null(inFile2())) {
return(NULL)
} else {
ext <- tools::file_ext(inFile2()$name)
file.rename(inFile2()$datapath,
paste(inFile2()$datapath, ext, sep="."))
readxl::read_excel(
path = paste(inFile2()$datapath, ext, sep="."),
sheet = input$sheet_n
)
}
})
# importing data
inFile3 <- reactive({
if(is.null(input$file3)) {
return(NULL)
} else {
input$file3
}
})
data3 <- reactive({
if(is.null(inFile3())) {
return(NULL)
} else {
jsonlite::fromJSON(inFile3()$datapath)
}
})
# importing data
inFile4 <- reactive({
if(is.null(input$file4)) {
return(NULL)
} else {
input$file4
}
})
data4 <- reactive({
if(is.null(inFile4())) {
return(NULL)
} else {
haven::read_sas(inFile4()$datapath)
}
})
inFile5 <- reactive({
if(is.null(input$file5)) {
return(NULL)
} else {
input$file5
}
})
data5 <- reactive({
if(is.null(inFile5())) {
return(NULL)
} else {
haven::read_sav(inFile5()$datapath)
}
})
inFile6 <- reactive({
if(is.null(input$file6)) {
return(NULL)
} else {
input$file6
}
})
data6 <- reactive({
if(is.null(inFile6())) {
return(NULL)
} else {
haven::read_stata(inFile6()$datapath)
}
})
observe({
updateSelectInput(
session,
inputId = 'sel_data',
label = '',
choices = c(input$file1$name, input$file2$name, input$file3$name,
input$file4$name, input$file5$name, input$file6$name),
selected = ''
)
})
ext_type <- reactive({
ext <- tools::file_ext(input$sel_data)
})
# choosing sample data
sampdata <- reactiveValues(s = NULL)
observeEvent(input$german_data, {
data("GermanCredit")
sampdata$s <- GermanCredit
})
observeEvent(input$iris_data, {
sampdata$s <- iris
})
observeEvent(input$mtcars_data, {
sampdata$s <- descriptr::mtcarz
})
observeEvent(input$hsb_data, {
sampdata$s <- hsb
})
observeEvent(input$mpg_data, {
sampdata$s <- mpg
})
observeEvent(input$diamonds_data, {
sampdata$s <- diamonds
})
uploadata <- reactiveValues(t = NULL)
observeEvent(input$submit_seldata, {
if (ext_type() == 'csv') {
uploadata$t <- data1()
} else if (ext_type() == 'xls') {
uploadata$t <- data2()
} else if (ext_type() == 'xlsx') {
uploadata$t <- data2()
} else if (ext_type() == 'json') {
uploadata$t <- data3()
} else if (ext_type() == 'sas7bdat') {
uploadata$t <- data4()
} else if (ext_type() == 'sav') {
uploadata$t <- uploadata$t <- data5()
} else if (ext_type() == 'dta') {
uploadata$t <- data6()
}
})
observeEvent(input$use_sample_data, {
uploadata$t <- sampdata$s
})
# if (input$sel_data == 'csv') {
# data1()
# } else if (input$sel_data == 'excel') {
# data2()
# } else if (input$sel_data == 'json') {
# data3()
# } else if (input$sel_data == 'sas') {
# data4()
# } else if (input$sel_data == 'spss') {
# data5()
# } else if (input$sel_data == 'stata') {
# data6()
# }
observeEvent(input$use_sample_data, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_transform')
})
observeEvent(input$submit_seldata, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_transform')
})
observeEvent(input$csv2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$csv2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$excel2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$excel2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$json2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$json2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$stata2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$stata2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$spss2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$spss2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$sas2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$sas2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$welcomebutton, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_upload.R |
output$table <- renderDataTable({
final_split$train
})
observeEvent(input$view2getdata, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$view2analyze, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_summary')
}) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/logic/logic_view.R |
library(descriptr)
library(dplyr)
library(tibble)
library(readxl)
library(haven)
library(readr)
library(jsonlite)
library(magrittr)
library(tools)
library(lubridate)
library(scales)
library(stringr)
library(rlang)
library(ggplot2)
library(forcats)
shinyServer(function(input, output, session) {
source("logic/logic_dataoptions.R", local = T)
source("logic/logic_upload.R", local = T)
source("logic/logic_transform2.R", local = T)
source("logic/logic_select.R", local = T)
source("logic/logic_filter.R", local = T)
source("logic/logic_screen.R", local = T)
source("logic/logic_view.R", local = T)
source("logic/logic_summary.R", local = T)
source("logic/logic_freq_qual.R", local = T)
source("logic/logic_freq_quant.R", local = T)
source("logic/logic_cross.R", local = T)
source("logic/logic_mult1.R", local = T)
source("logic/logic_mult2.R", local = T)
source("logic/logic_group_summary.R", local = T)
source("logic/logic_home.R", local = T)
source("logic/logic_exit_button.R", local = T)
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/server.R |
navbarMenu('Analyze', icon = icon('search-plus'),
source('ui/ui_eda.R', local = TRUE)[[1]]
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_analyze.R |
tabPanel('Cross Table', value = 'tab_cross',
fluidPage(
includeCSS("styles.css"),
fluidRow(
column(5, align = 'left',
h4('Two Way Tables'),
p('Generates two way tables of categorical variables. The tables created can be
visualized as barplots and mosaicplots.')
),
column(7, align = 'right',
actionButton(inputId='crosstablink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://descriptr.rsquaredacademy.com/reference/ds_cross_table.html', '_blank')"),
actionButton(inputId='crosstablink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=_93BIFMIaGg', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Variable 1:')),
column(2, align = 'left',
selectInput("var1_cross", label = '', width = '150px',
choices = "", selected = ""
),
bsTooltip("var1_cross", "Select first variable.",
"left", options = list(container = "body"))
),
column(2, align = 'right', br(), h5('Variable 2:')),
column(2, align = 'left',
selectInput("var2_cross", label = '', width = '150px',
choices = "", selected = ""
),
bsTooltip("var2_cross", "Select second variable.",
"left", options = list(container = "body"))
),
column(4, align = 'center',
br(),
actionButton(inputId = 'submit_cross', label = 'Submit', width = '150px', icon = icon('check')),
bsTooltip("submit_cross", "Click here to view cross tab.",
"top", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
verbatimTextOutput('cross')
)
),
fluidRow(
column(12, align = 'center',
# h3('Stacked Bar Plot', style = 'align:center;'),
uiOutput('cross1_title'),
plotOutput('cross_bar_stacked', height = "500px", width = "75%")
)
),
fluidRow(
column(12, align = 'center',
# h3('Grouped Bar Plot'),
uiOutput('cross2_title'),
plotOutput('cross_bar_grouped', height = "500px", width = "75%")
)
),
fluidRow(
column(12, align = 'center',
# h3('Proportional Bar Plot'),
uiOutput('cross3_title'),
plotOutput('cross_bar_proportional', height = "500px", width = "75%")
)
),
fluidRow(
column(12, align = 'center',
# h3('Mosaic Bar Plot'),
uiOutput('cross4_title'),
plotOutput('cross_mosaic_plot', height = "500px", width = "75%")
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_cross.R |
navbarMenu('Data', icon = icon('database'),
source('ui/ui_up.R', local = TRUE)[[1]],
source('ui/ui_trans.R', local = TRUE)[[1]],
source('ui/ui_scr.R', local = TRUE)[[1]],
source('ui/ui_vi.R', local = TRUE)[[1]]
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_data.R |
tabPanel('Upload File', value = 'tab_uploadfile',
fluidPage(
includeCSS("mystyle.css"),
fluidRow(
column(12,
tabsetPanel(type = 'tabs', id = 'tabset_upload',
tabPanel('CSV', value = 'tab_upload_csv',
fluidPage(
br(),
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a comma or tab separated file.')
),
column(4, align = 'right',
actionButton(inputId='uploadlink2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=00m29s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput('file1', 'Data Set:',
accept = c('text/csv', '.csv',
'text/comma-separated-values,text/plain')
)
)
),
fluidRow(
column(12, align = 'center', checkboxInput('header', 'Header', TRUE))
),
fluidRow(
column(12, align = 'center',
selectInput('sep', 'Separator',
choices = c('Comma' = ',', 'Semicolon' = ';', 'Tab' = '\t'), selected = ',')
)
),
fluidRow(
column(12, align = 'center',
selectInput('quote', 'Quote',
choices = c('None' = '', 'Double Quote' = '"', 'Single Quote' = "'"), selected = '')
)
),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='csv2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='csv2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('Excel', value = 'tab_upload_excel',
fluidPage(
br(),
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .xls or .xlsx file.')
),
column(4, align = 'right',
actionButton(inputId='uploadexcel2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=00m29s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file2',
label = 'Choose file:',
accept = c('.xls', '.xlsx')
)
)
),
fluidRow(
column(12, align = 'center',
numericInput(
inputId = 'sheet_n',
label = 'Sheet',
value = 1,
min = 1,
step = 1,
width = '120px'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='excel2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='excel2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('JSON', value = 'tab_upload_json',
br(),
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .json file.')
),
column(4, align = 'right',
actionButton(inputId='uploadjson2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=00m29s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file3',
label = 'Choose file:',
accept = '.json'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='json2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='json2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('STATA', value = 'tab_upload_stata',
br(),
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .dta file.')
),
column(4, align = 'right',
actionButton(inputId='uploadstata2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=00m29s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file6',
label = 'Choose file:',
accept = '.dta'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='stata2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='stata2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('SPSS', value = 'tab_upload_spss',
br(),
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .sav file.')
),
column(4, align = 'right',
actionButton(inputId='uploadspss2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=00m29s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file5',
label = 'Choose file:',
accept = '.sav'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='spss2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='spss2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('SAS', value = 'tab_upload_sas',
br(),
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .sas7bdat file.')
),
column(4, align = 'right',
actionButton(inputId='uploadsas2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=00m29s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file4',
label = 'Choose file:',
accept = '.sas7bdat'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='sas2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='sas2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
)
)
)
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_datafiles.R |
tabPanel('Data Sources', value = 'tab_datasources',
fluidPage(theme = shinytheme('cerulean'),
includeCSS("mystyle.css"),
fluidRow(
column(12, align = 'center',
h4('Use sample data or upload a file')
)
),
fluidRow(
column(6, align = 'right',
actionButton(
inputId = 'sample_data_yes',
label = 'Sample Data',
width = '120px'
)
),
column(6, align = 'left',
actionButton(
inputId = 'upload_files_yes',
label = 'Upload File',
width = '120px'
)
)
),
br(),
fluidRow(
column(12, align = 'center',
h6('The app takes a few seconds to load. Please wait for ~12 seconds.')
)
),
br(),
br(),
fluidRow(
uiOutput('upload_file_links')
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_dataoptions.R |
tabPanel('Sample Data', value = 'tab_use_sample',
fluidPage(
includeCSS("mystyle.css"),
fluidRow(
column(12, align = 'center',
h5('Click on a sample for more information')
)
),
br(),
fluidRow(
column(4, align = 'center',
actionButton(
inputId = 'german_data',
label = 'German Credit',
width = '200px',
onclick ="window.open('https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)', 'newwindow', 'width=800,height=600')"
)
),
column(4, align = 'center',
actionButton(
inputId = 'iris_data',
label = 'Iris',
width = '200px',
onclick ="window.open('https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/iris.html', 'newwindow', 'width=800,height=600')"
)
),
column(4, align = 'center',
actionButton(
inputId = 'mtcars_data',
label = 'mtcars',
width = '200px',
onclick ="window.open('https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/mtcars.html', 'newwindow', 'width=800,height=600')"
)
)
),
fluidRow(column(12, br())),
fluidRow(
column(4, align = 'center',
actionButton(
inputId = 'mpg_data',
label = 'mpg',
width = '200px',
onclick ="window.open('http://ggplot2.tidyverse.org/reference/mpg.html', 'newwindow', 'width=800,height=600')"
)
),
column(4, align = 'center',
actionButton(
inputId = 'hsb_data',
label = 'hsb',
width = '200px',
onclick ="window.open('http://www.rsquaredacademy.com/descriptr/reference/hsb.html', 'newwindow', 'width=800,height=600')"
)
),
column(4, align = 'center',
actionButton(
inputId = 'diamonds_data',
label = 'diamonds',
width = '200px',
onclick ="window.open('http://ggplot2.tidyverse.org/reference/diamonds.html', 'newwindow', 'width=800,height=600')"
)
)
),
br(),
br(),
br(),
fluidRow(
column(12, align = 'center',
actionButton(
inputId = 'use_sample_data',
label = 'Use Sample Data',
width = '200px'
)
)
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_datasamples.R |
tabPanel('EDA', value = 'tab_eda', icon = icon('stats', lib = 'glyphicon'),
navlistPanel(id = 'navlist_eda',
well = FALSE,
widths = c(2, 10),
source('ui/ui_summary.R', local = TRUE)[[1]],
source('ui/ui_freq_qual.R', local = TRUE)[[1]],
source('ui/ui_freq_quant.R', local = TRUE)[[1]],
source('ui/ui_cross.R', local = TRUE)[[1]],
source('ui/ui_mult1.R', local = TRUE)[[1]],
source('ui/ui_mult2.R', local = TRUE)[[1]],
source('ui/ui_group_summary.R', local = TRUE)[[1]]
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_eda.R |
tabPanel('EDA', value = 'tab_eda_home',
fluidPage(
fluidRow(
column(12, align = 'center',
uiOutput('eda_options')
),
column(12, align = 'center',
uiOutput('infer_options')
),
column(12, align = 'center',
uiOutput('viz_options')
),
column(12, align = 'center',
uiOutput('model_options')
)
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_eda_home.R |
# Exit -----------------------------------------------------------
tabPanel("", value = "exit", icon = icon("power-off"),
br(),
br(),
br(),
br(),
br(),
br(),
# In case window does not close, one should see this message
fluidRow(column(3),
column(6, h2("Thank you for using", strong("descriptr"), "!"))),
fluidRow(column(3),
column(6, h4("Now you should close this window.")))
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_exit_button.R |
tabPanel('F Distribution', value = 'tab_f',
fluidPage(
fluidRow(
column(7, align = 'left',
h4('F Distribution'),
p('Visualize how changes in degrees of freedom affect the shape of the F
distribution. Compute/visualize quantiles out of given probability and
probability from a given quantile.')
),
column(5, align = 'right',
actionButton(inputId='fdistlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://descriptr.rsquaredacademy.com/reference/dist_f_plot.html', '_blank')")
)
),
hr(),
fluidRow(
column(12,
tabsetPanel(type = 'tabs',
tabPanel('Distribution Shape',
column(4,
column(6, align = 'center',
br(),
br(),
numericInput('f_numdf', 'Numerator Degrees of freedom',
value = 4, min = 1, step = 1
),
numericInput('f_dendf', 'Denominator Degrees of freedom',
value = 5, min = 1, step = 1
),
selectInput('f_norm', 'Normal Distribution',
choices = c('TRUE' = TRUE, 'FALSE' = FALSE),
selected = 'FALSE'
)
)
),
column(8,
plotOutput('f_shape', height = '400px')
)
),
tabPanel('Find Probability',
column(4,
column(6, align = 'center',
br(),
br(),
numericInput('fprob_p', 'Percentile', value = 2,
min = 0, step = 1
),
numericInput('fprob_numdf', 'Numerator Degrees of freedom',
value = 4, min = 1, step = 1
),
numericInput('fprob_dendf', 'Denominator Degrees of freedom',
value = 5, min = 1, step = 1
),
selectInput('fprob_tail', 'Tail',
choices = c('lower', 'upper'), selected = 'lower'
)
)
),
column(8,
plotOutput('fprob_plot', height = '400px')
)
),
tabPanel('Find Percentile',
column(4,
column(6, align = 'center',
br(),
br(),
numericInput('fperc_p', 'Probability', value = 0.3, min = 0,
step = 0.01, max = 1
),
numericInput('fperc_numdf', 'Numerator Degrees of freedom',
value = 4, min = 1, step = 1
),
numericInput('fperc_dendf', 'Denominator Degrees of freedom',
value = 5, min = 1, step = 1
),
selectInput('fperc_tail', 'Tail',
choices = c('lower', 'upper'), selected = 'lower'
)
)
),
column(8,
plotOutput('fperc_plot', height = '400px')
)
)
)
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_f.R |
tabPanel('Filter', value = 'tab_filter',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Filter Data'),
p('Click on Yes to filter data.')
),
column(6, align = 'right',
actionButton(inputId='fildatalink', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=02m42s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
h4('Do you want to filter data?')
),
column(6, align = 'right',
actionButton(
inputId = 'button_filt_yes',
label = 'Yes',
width = '120px'
)
),
column(6, align = 'left',
actionButton(
inputId = 'button_filt_no',
label = 'No',
width = '120px'
)
)
),
br(),
br(),
fluidRow(
uiOutput('filt_render')
),
fluidRow(
uiOutput('filt_trans')
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_filter.R |
tabPanel('Frequency - I', value = 'tab_fqual',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Frequency Tables'),
p('Generates frequency table for factor data and returns the frequency, cumulative frequency,
frequency percent, cumulative frequency percent and a bar plot.')
),
column(6, align = 'right',
actionButton(inputId='fqualink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://descriptr.rsquaredacademy.com/reference/ds_freq_table.html', '_blank')"),
actionButton(inputId='fqualink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=BMKV2Rocm1s', '_blank')")
)
),
hr(),
fluidRow(
column(4, align = 'right',
br(),
br(),
h5('Variable:')
),
column(3, align = 'left',
br(),
selectInput("var_table", label = '',
choices = "", selected = "", width = '200px'),
bsTooltip("var_table", "Select a variable.",
"right", options = list(container = "body"))
),
column(4, align = 'left',
br(),
br(),
actionButton(inputId = 'submit_fqual', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_fqual", "Click here to view frequency table.",
"bottom", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
uiOutput('freq1_title'),
# h3('Frequency Table'),
br(),
verbatimTextOutput('freq_qual'),
br(),
plotOutput('qual_vert', height = "500px", width = "75%"),
br(),
plotOutput('qual_horiz')
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_freq_qual.R |
tabPanel('Frequency - II', value = 'tab_fquant',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Frequency Table (Quantitative Data)'),
p('Generates the frequency distribution of continuous data by splitting
the data into equidistant intervals created based on the number of bins specified.')
),
column(6, align = 'right',
actionButton(inputId='fquantlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://descriptr.rsquaredacademy.com/reference/ds_freq_cont.html', '_blank')"),
actionButton(inputId='fquantlink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=ft1L6VnJEog', '_blank')")
)
),
hr(),
fluidRow(
column(1, align = 'right', br(), h5('Variable:')),
column(3, align = 'left',
selectInput("var_freq_quant", label = '', width = '200px',
choices = "", selected = ""
),
bsTooltip("var_freq_quant", "Select a variable.",
"left", options = list(container = "body"))
),
column(1, align = 'right', br(), h5('Filter:')),
column(3, align = 'left',
sliderInput(inputId = 'filter_quant', width = '250px',
label = '',
min = 0, max = 100,
step = 1, value = c(20, 80)
),
bsTooltip("filter_quant", "Filter data.",
"bottom", options = list(container = "body"))
),
column(1, align = 'right', br(), h5('Bins:')),
column(3, align = 'left',
numericInput('bins', label = '', width = '200px',
min = 1, value = 5),
bsTooltip("bins", "Specify the number of bins.",
"bottom", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_fquant', label = 'Submit', width = '180px', icon = icon('check')),
bsTooltip("submit_fquant", "Click here to view frequency table.",
"bottom", options = list(container = "body"))
)
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('freq_quant')
)
),
fluidRow(
column(12, align = 'center',
uiOutput('freq2_title'),
# h3('Histogram'),
plotOutput('hist_freq_quant', height = "500px", width = "75%")
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_freq_quant.R |
tabPanel('Group Summary', value = 'tab_gsummary',
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Group Summary Statistics'),
p('Generates descriptive statistics of a continuous variable for
the different levels of a categorical variable.')
),
column(4, align = 'right',
actionButton(inputId='gstatlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://descriptr.rsquaredacademy.com/reference/ds_group_summary.html', '_blank')"),
actionButton(inputId='gstatlink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=7kvasytLmmk', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Grouping Variable: ')),
column(2, align = 'left',
selectInput("var_group", label = '', width = '150px',
choices = "", selected = ""
),
bsTooltip("var_group", "Click here to select a grouping variable.",
"left", options = list(container = "body"))
),
column(2, align = 'right', br(), h5('Summary Variable: ')),
column(2, align = 'left',
selectInput("var_grp_summary", label = '', width = '150px',
choices = "", selected = ""
),
bsTooltip("var_grp_summary", "Click here to select a continuous variable.",
"top", options = list(container = "body"))
),
column(4, align = 'center',
br(),
actionButton(inputId = 'submit_gsummary', label = 'Submit', width = '150px'),
bsTooltip("submit_gsummary", "Click here to view group summary.",
"top", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
verbatimTextOutput('group_summary')
)
),
fluidRow(
column(12, align = 'center',
# h3('Box Plot'),
uiOutput('group1_title'),
plotOutput('box_group_summary', height = "500px", width = "75%")
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_group_summary.R |
tabPanel('Multiple 1 Way Tables', value = 'tab_mult1',
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Multiple One Way Tables'),
p('Generates multiple one way tables.')
),
column(4, align = 'right',
actionButton(inputId='multonelink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://descriptr.rsquaredacademy.com/reference/ds_oway_tables.html', '_blank')"),
actionButton(inputId='multonelink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=bCmKnXpGP54', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
verbatimTextOutput('mult1')
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_mult1.R |
tabPanel('Multiple 2 Way Tables', value = 'tab_mult2',
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Multiple Two Way Tables'),
p('Generates multiple two way tables.')
),
column(4, align = 'right',
actionButton(inputId='multwo1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://descriptr.rsquaredacademy.com/reference/ds_oway_tables.html', '_blank')"),
actionButton(inputId='multwo3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=VNixr1mVqSI', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
verbatimTextOutput('mult2')
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_mult2.R |
tabPanel('Screen', value = 'tab_scr', icon = icon('binoculars'),
navlistPanel(id = 'navlist_scr',
well = FALSE,
widths = c(2, 10),
source('ui/ui_screen.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_scr.R |
tabPanel('Screen', value = 'tab_screen',
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Data Screening'),
p('Screen data for missing values, verify column names and data types.')
),
column(4, align = 'right',
actionButton(inputId='dscreenlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://descriptr.rsquaredacademy.com/reference/ds_screener.html', '_blank')"),
actionButton(inputId='dscreenlink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=03m17s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
verbatimTextOutput('screen')
)
),
fluidRow(
br(),
column(12, align = 'center',
actionButton('finalok', 'Approve', width = '120px', icon = icon('sign-out')),
bsTooltip("finalok", "Click here to approve the data.",
"top", options = list(container = "body"))
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_screen.R |
tabPanel('Select', value = 'tab_sel', icon = icon('database'),
navlistPanel(id = 'navlist_up',
well = FALSE,
widths = c(2, 10),
source('ui/ui_seldata.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_sel.R |
tabPanel("Select Data", value = "tab_seldata",
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Select Data Set'),
p('Select a data set from the drop down box and click on submit.')
),
column(6, align = 'right',
actionButton(inputId='seldatalink', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=01m14s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = "center",
selectInput(
inputId = "sel_data",
label = "Select a data set:",
choices = '',
# choices = c('csv', 'excel', 'json', 'spss', 'stata', 'sas'),
selected = '',
width = '200px',
)
)
),
fluidRow(
column(12, align = 'center',
br(),
actionButton(inputId = 'submit_seldata', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_seldata", "Click here to select data.",
"bottom", options = list(container = "body")))
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_seldata.R |
tabPanel('Select Variables', value = 'tab_selvar',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Select Variables'),
p('Click on Yes to select variables.')
),
column(6, align = 'right',
actionButton(inputId='selvarlink', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=02m19s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
h4('Do you want to select variables?')
)
),
fluidRow(
column(6, align = 'right',
actionButton(
inputId = 'button_selvar_yes',
label = 'Yes',
width = '120px'
)
),
column(6, align = 'left',
actionButton(
inputId = 'button_selvar_no',
label = 'No',
width = '120px'
)
)
),
fluidRow(
br(),
br(),
uiOutput('show_sel_button')
),
fluidRow(
uiOutput('sub_sel_button')
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_select.R |
tabPanel('Summary', value = 'tab_summary',
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Summary Statistics'),
p('Generate descriptive statistics for continuous data.')
),
column(4, align = 'right',
actionButton(inputId='sumrylink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://descriptr.rsquaredacademy.com/reference/ds_summary_stats.html', '_blank')"),
actionButton(inputId='sumrylink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=cq6_1SQjNmM', '_blank')")
)
),
hr(),
fluidRow(
column(4, align = 'right',
br(),
br(),
h5('Variable:')
),
column(2, align = 'left',
br(),
selectInput("var_summary", label = '',
choices = "", selected = "", width = '150px'
),
bsTooltip("var_summary", "Select a variable.",
"bottom", options = list(container = "body"))
),
column(6, align = 'left',
br(),
br(),
actionButton(inputId = 'submit_summary', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_summary", "Click here to view summary statistics.",
"bottom", options = list(container = "body"))
)
),
fluidRow(
br(),
br(),
column(12, align = 'center',
verbatimTextOutput('summary')
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_summary.R |
tabPanel('Transform', value = 'tab_trans', icon = icon('rotate-right'),
navlistPanel(id = 'navlist_trans',
well = FALSE,
widths = c(2, 10),
source('ui/ui_seldata.R', local = TRUE)[[1]],
source('ui/ui_transform2.R', local = TRUE)[[1]],
source('ui/ui_select.R', local = TRUE)[[1]],
source('ui/ui_filter.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_trans.R |
tabPanel('Transform', value = 'tab_transform',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Data Transformation'),
p('Rename variables and modify data types.')
),
column(6, align = 'right',
actionButton(inputId='translink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=01m23s', '_blank')")
)
),
hr(),
fluidRow(
column(3, tags$h5('Variable')),
column(3, tags$h5('Rename Variable')),
column(3, tags$h5('Modify Data Type'))
),
column(12, uiOutput('trans_try')),
fluidRow(
tags$br()
),
fluidRow(
column(12, align = 'center',
br(),
actionButton(inputId="apply_changes", label="Apply Changes", icon = icon('thumbs-up')),
bsTooltip("apply_changes", "Click here to apply changes to data.",
"top", options = list(container = "body")),
br(),
br()
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_transform2.R |
tabPanel('Get Data', value = 'tab_upload', icon = icon('server'),
navlistPanel(id = 'navlist_up',
well = FALSE,
widths = c(2, 10),
source('ui/ui_dataoptions.R', local = TRUE)[[1]],
source('ui/ui_datafiles.R', local = TRUE)[[1]],
source('ui/ui_datasamples.R', local = TRUE)[[1]]
# source('ui/ui_upload.R', local = TRUE)[[1]],
# source('ui/ui_excel.R', local = TRUE)[[1]],
# source('ui/ui_json.R', local = TRUE)[[1]],
# source('ui/ui_stata.R', local = TRUE)[[1]],
# source('ui/ui_spss.R', local = TRUE)[[1]],
# source('ui/ui_sas.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_up.R |
tabPanel('View', value = 'tab_vi', icon = icon('sort'),
navlistPanel(id = 'navlist_vi',
well = FALSE,
widths = c(2, 10),
source('ui/ui_view.R', local = TRUE)[[1]]
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_vi.R |
tabPanel('View', value = 'tab_view',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='view2getdata', label=" Get Data", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='view2analyze', label="Analyze Data", icon = icon("long-arrow-right"))
)
),
hr(),
fluidRow(
dataTableOutput(outputId = "table")
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui/ui_view.R |
library(shiny)
library(shinyBS)
library(shinythemes)
shinyUI(
navbarPage(HTML("descriptr"), id = 'mainpage',
source('ui/ui_data.R', local = TRUE)[[1]],
source('ui/ui_analyze.R', local = TRUE)[[1]],
source('ui/ui_exit_button.R', local = TRUE)[[1]]
))
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-descriptr/ui.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,
inputId = "var_anova1",
choices = names(data()),
selected = '')
updateSelectInput(session,
inputId = "var_anova2",
choices = names(data()),
selected = '')
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_anova2",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_anova2', choices = names(f_data))
}
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_anova1',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_anova1',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_anova1', choices = names(num_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_anova2",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_anova2', choices = names(f_data))
}
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_anova1',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_anova1',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_anova1', choices = names(num_data))
}
})
d_anova <- eventReactive(input$submit_anova, {
req(input$var_anova1)
req(input$var_anova2)
data <- final_split$train[, c(input$var_anova1, input$var_anova2)]
eval(parse(text = paste0("data$", names(data)[2], " <- as.numeric(as.character(data$", names(data)[2], "))")))
xpl_oneway_anova(data, input$var_anova1, input$var_anova2)
})
output$anova_out <- renderPrint({
d_anova()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_anova.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,
inputId = "var_binomtest",
choices = names(data()),
selected = '')
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_binomtest",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_binomtest', choices = names(f_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_binomtest",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_binomtest', choices = names(f_data))
}
})
d_binomtest <- eventReactive(input$submit_binomtest, {
req(input$var_binomtest)
data <- final_split$train[, c(input$var_binomtest)]
xpl_binom_test(final_split$train, input$var_binomtest, input$binomtest_prob)
})
d_binom_calc <- eventReactive(input$submit_binomcalc, {
xpl_binom_calc(input$n_binomcalc, input$s_binomcalc, input$p_binomcalc)
})
output$binomtest_out <- renderPrint({
d_binomtest()
})
output$binomcalc_out <- renderPrint({
d_binom_calc()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_binomtest.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session, 'var_chict1', choices = names(data()))
updateSelectInput(session, 'var_chict2', choices = names(data()))
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, 'var_chict1', choices = names(fdata))
updateSelectInput(session, 'var_chict2', choices = names(fdata))
} else {
updateSelectInput(session, 'var_chict1', choices = names(f_data))
updateSelectInput(session, 'var_chict2', choices = names(f_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, 'var_chict1', choices = names(fdata))
updateSelectInput(session, 'var_chict2', choices = names(fdata))
} else {
updateSelectInput(session, 'var_chict1', choices = names(f_data))
updateSelectInput(session, 'var_chict2', choices = names(f_data))
}
})
d_chict <- eventReactive(input$submit_chict, {
data <- final_split$train[, c(input$var_chict1, input$var_chict2)]
})
output$chict_out <- renderPrint({
xpl_chisq_assoc_test(d_chict(), input$var_chict1, input$var_chict2)
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_chict.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session, 'var_chigof', choices = names(data()))
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_chigof",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_chigof', choices = names(f_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_chigof",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_chigof', choices = names(f_data))
}
})
d_chigof <- eventReactive(input$update_chigof, {
# validate(need((input$var_chigof != ''), 'Please select variable.'))
data <- final_split$train[, c(input$var_chigof)]
})
chigof_lev <- reactive({
nlevels(d_chigof())
})
output$chigof_prop <- renderUI({
ncol <- chigof_lev()
if (ncol < 1) {
NULL
} else {
lapply(1:ncol, function(i) {
numericInput(paste0("prop_", i), label = paste0("Proportion ", i),
value = 0.25, min = 0, max = 1, step = 0.1)
})
}
})
props <- reactive({
ncol <- chigof_lev()
if (ncol < 1) {
proportions <- NULL
} else {
collect <- list(lapply(1:ncol, function(i) {
input[[paste0("prop_", i)]]
}))
proportions <- unlist(collect)
}
proportions
})
df_chigof <- eventReactive(input$submit_chigof, {
data <- final_split$train
xpl_chisq_gof_test(data, input$var_chigof, props(), as.logical(input$chigof_cc))
})
output$chigof_out <- renderPrint({
df_chigof()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_chigof.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session, 'var_cochran', choices = names(data()))
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, 'var_cochran',
choices = names(fdata), selected = names(fdata))
} else if (ncol(f_data) < 1) {
updateSelectInput(session, 'var_cochran',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_cochran', choices = names(f_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, 'var_cochran',
choices = names(fdata), selected = names(fdata))
} else if (ncol(f_data) < 1) {
updateSelectInput(session, 'var_cochran',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_cochran', choices = names(f_data))
}
})
d_cochran <- eventReactive(input$submit_cochran, {
req(input$var_cochran)
data <- final_split$train[, c(input$var_cochran)]
xpl_cochran_qtest(data, input$var_cochran)
})
output$cochran_out <- renderPrint({
d_cochran()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_cochran.R |
observeEvent(input$sample_data_yes, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_use_sample')
})
file_upload_options <- eventReactive(input$upload_files_yes, {
fluidRow(
column(3, align = 'center',
actionButton(
inputId = 'upload_csv_file',
label = 'CSV',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_xls_file',
label = 'XLS',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_xlsx_file',
label = 'XLSX',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_json_file',
label = 'JSON',
width = '120px'
)
),
column(12, br()),
column(3, align = 'center',
actionButton(
inputId = 'upload_stata_file',
label = 'STATA',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_spss_file',
label = 'SPSS',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_sas_file',
label = 'SAS',
width = '120px'
)
),
column(3, align = 'center',
actionButton(
inputId = 'upload_rds_file',
label = 'RDS',
width = '120px'
)
)
)
})
output$upload_file_links <- renderUI({
file_upload_options()
})
observeEvent(input$upload_csv_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tab_uploadfile', selected = 'tab_upload_csv')
})
observeEvent(input$upload_xls_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_excel')
})
observeEvent(input$upload_xlsx_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_excel')
})
observeEvent(input$upload_json_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_json')
})
observeEvent(input$upload_stata_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_stata')
})
observeEvent(input$upload_spss_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_spss')
})
observeEvent(input$upload_sas_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_sas')
})
observeEvent(input$upload_rds_file, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_uploadfile')
updateTabsetPanel(session, 'tabset_upload', selected = 'tab_upload_rds')
}) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_dataoptions.R |
# Exit ---------------------------------------------------------------
observe({
if (isTRUE(input$mainpage == "exit")) {
stopApp()
}
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_exit_button.R |
filt_ui <- eventReactive(input$button_filt_yes, {
fluidRow(
column(12, align = 'center',
selectInput(
inputId = 'dplyr_filter',
label = 'Filter:',
choices = '',
selected = '',
width = '120px'
)
),
column(12, align = 'center',
selectInput(
inputId = 'dplyr_filt_op',
label = 'Select Operator',
choices = c('<', '>', '<=', '>=', '=='),
selected = '',
width = '120px'
)
),
column(12, align = 'center',
textInput(
inputId = 'dplyr_filt_val',
label = 'Value',
value = '20',
width = '120px'
)
),
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_dply_filt', label = 'Filter', width = '120px', icon = icon('check')),
bsTooltip("submit_dply_filt", "Click here to filter data.",
"bottom", options = list(container = "body"))
)
)
})
output$filt_render <- renderUI(
filt_ui()
)
observeEvent(input$button_filt_yes, {
updateSelectInput(
session,
inputId = "dplyr_filter",
choices = names(final_sel$a),
selected = names(final_sel$a)
)
})
observeEvent(input$submit_dply_selvar, {
updateSelectInput(
session,
inputId = "dplyr_filter",
choices = names(finalsel()),
selected = names(finalsel())
)
})
filt_data <- reactiveValues(p = NULL)
observeEvent(input$submit_dply_selvar, {
filt_data$p <- final_sel$a
})
observeEvent(input$button_filt_yes, {
filt_data$p <- final_sel$a
})
observeEvent(input$submit_dply_filt, {
filt_data$p <- filt_data$p %>%
filter_(paste(input$dplyr_filter, input$dplyr_filt_op, input$dplyr_filt_val))
})
observeEvent(input$button_filt_no, {
filt_data$p <- final_sel$a
})
observeEvent(input$button_filt_no, {
updateNavbarPage(session, 'mainpage', selected = 'tab_scr')
updateNavlistPanel(session, 'navlist_trans', 'tab_screen')
})
filttrans <- eventReactive(input$button_filt_yes, {
fluidRow(
column(6, align = 'left',
actionButton(inputId='filt2dvarsel', label="Select Variables", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='filt2screen', label="Screen Data", icon = icon("long-arrow-right"))
)
)
})
output$filt_trans <- renderUI({
filttrans()
})
observeEvent(input$filt2dvarsel, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_selvar')
})
observeEvent(input$filt2screen, {
updateNavbarPage(session, 'mainpage', selected = 'tab_scr')
updateNavlistPanel(session, 'navlist_trans', 'tab_screen')
})
# filtered <- eventReactive(input$submit_dply_filt, {
# k <- final_sel() %>%
# filter_(paste(input$dplyr_filter, input$dplyr_filt_op, input$dplyr_filt_val))
# k
# # k <- filter_(final_sel(), paste(input$dplyr_filter, input$dplyr_filt_op, input$dplyr_filt_val))
# # k
# }) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_filter.R |
eda_menu <- eventReactive(input$click_descriptive, {
fluidRow(
column(12),
br(),
column(12, align = 'center',
h5('What do you want to do?')
),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate detailed descriptive statistics for a continuous variable: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_1',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate frequency distribution of a categorical variable: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_2',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate frequency distribution a continuous variable: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_3',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate two way table of categorical variables: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_4',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate multiple one way tables of categorical variables: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_5',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate multiple two way tables of categorical variables: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_6',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Generate grouped summary statistics: ')
),
column(2, align = 'left',
actionButton(
inputId = 'button_7',
label = 'Click Here',
width = '120px'
)
),
column(3)
)
})
output$eda_options <- renderUI({
eda_menu()
})
observeEvent(input$click_descriptive, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_eda_home')
})
observeEvent(input$click_distributions, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_dist_home')
})
observeEvent(input$click_inference, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_infer_home')
})
observeEvent(input$click_model, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_model_home')
})
observeEvent(input$click_visualize, {
updateNavbarPage(session, 'mainpage', selected = 'tab_viz_home')
updateNavlistPanel(session, 'navlist_vizmenu', 'tab_home_viz')
})
# observeEvent(input$click_visualize, {
# updateNavbarPage(session, 'mainpage', selected = 'tab_viz_lib')
# })
observeEvent(input$button_1, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_summary')
})
observeEvent(input$button_2, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_fqual')
})
observeEvent(input$button_3, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_fquant')
})
observeEvent(input$button_4, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_cross')
})
observeEvent(input$button_5, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_mult1')
})
observeEvent(input$button_6, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_mult2')
})
observeEvent(input$button_7, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_gsummary')
})
observeEvent(input$button_dist_home_1, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_norm')
})
observeEvent(input$button_dist_home_2, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_t')
})
observeEvent(input$button_dist_home_3, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_chisq')
})
observeEvent(input$button_dist_home_4, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_binom')
})
observeEvent(input$button_dist_home_5, {
updateNavbarPage(session, 'mainpage', selected = 'tab_dist')
updateNavlistPanel(session, 'navlist_dist', 'tab_f')
})
observeEvent(input$button_infer_home_1, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_infer1_home')
})
observeEvent(input$button_infer_home_2, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_infer2_home')
})
observeEvent(input$button_infer_home_3, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_infer3_home')
})
# links for inferential statistics
observeEvent(input$inf_menu_1_t, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_ttest')
})
observeEvent(input$inf_menu_1_var, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_osvartest')
})
observeEvent(input$inf_menu_1_prop, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_osproptest')
})
observeEvent(input$inf_menu_1_chi, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_chigof')
})
observeEvent(input$inf_menu_1_runs, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_runs')
})
observeEvent(input$inf_menu_2_it, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_indttest')
})
observeEvent(input$inf_menu_2_pt, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_ptest')
})
observeEvent(input$inf_menu_2_binom, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_binomtest')
})
observeEvent(input$inf_menu_2_var, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_tsvartest')
})
observeEvent(input$inf_menu_2_prop, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_tsproptest')
})
observeEvent(input$inf_menu_2_chi, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_chict')
})
observeEvent(input$inf_menu_2_mcnemar, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_mcnemar')
})
observeEvent(input$inf_menu_3_anova, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_anova')
})
observeEvent(input$inf_menu_3_levene, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_levtest')
})
observeEvent(input$inf_menu_3_cochran, {
updateNavbarPage(session, 'mainpage', selected = 'tab_infer')
updateNavlistPanel(session, 'navlist_infer', 'tab_cochran')
})
## visulization links
observeEvent(input$click_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_viz_home')
updateNavlistPanel(session, 'navlist_vizmenu', 'tab_viz_base')
})
observeEvent(input$click_ggplot2, {
updateNavbarPage(session, 'mainpage', selected = 'tab_viz_home')
updateNavlistPanel(session, 'navlist_vizmenu', 'tab_viz_gg')
})
observeEvent(input$click_prh, {
updateNavbarPage(session, 'mainpage', selected = 'tab_viz_home')
updateNavlistPanel(session, 'navlist_vizmenu', 'tab_viz_others')
})
## link viz libraries to tabs
observeEvent(input$click_bar_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_bar')
})
observeEvent(input$click_bar2_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_bar2')
})
observeEvent(input$click_box_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_box')
})
observeEvent(input$click_box2_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_box2')
})
observeEvent(input$click_line_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_line')
})
observeEvent(input$click_scatter_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_scatter')
})
observeEvent(input$click_hist_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_hist')
})
observeEvent(input$click_pie_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_pie')
})
observeEvent(input$click_pie2_base, {
updateNavbarPage(session, 'mainpage', selected = 'tab_base')
updateNavlistPanel(session, 'navlist_base', 'tab_pie3d')
})
## ggplot2
observeEvent(input$click_bar_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gbar')
})
observeEvent(input$click_bar2_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gbar2')
})
observeEvent(input$click_box_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gbox')
})
observeEvent(input$click_box2_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gbox2')
})
observeEvent(input$click_line_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gline1')
})
observeEvent(input$click_scatter_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gscatter')
})
observeEvent(input$click_hist_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_ghist')
})
observeEvent(input$click_pie_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gpie')
})
observeEvent(input$click_line2_gg, {
updateNavbarPage(session, 'mainpage', selected = 'tab_gg')
updateNavlistPanel(session, 'navlist_gg', 'tab_gline2')
})
## others
observeEvent(input$click_bar_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_bar_plot_1')
})
observeEvent(input$click_bar2_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_bar_plot_2')
})
observeEvent(input$click_box_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_box_plot_1')
})
observeEvent(input$click_box2_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_box_plot_2')
})
observeEvent(input$click_line_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_line_prh')
})
observeEvent(input$click_scatter_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_scatter_prh')
})
observeEvent(input$click_hist_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_hist_prh')
})
observeEvent(input$click_pie_others, {
updateNavbarPage(session, 'mainpage', selected = 'tab_others')
updateNavlistPanel(session, 'navlist_others', 'tab_pie_prh')
})
## model links
observeEvent(input$model_reg_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_regress')
})
observeEvent(input$model_varsel_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_var_select')
})
observeEvent(input$model_resdiag_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_res_diag')
})
observeEvent(input$model_het_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_hetero')
})
observeEvent(input$model_coldiag_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_regcollin')
})
observeEvent(input$model_infl_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_inflobs')
})
observeEvent(input$model_fit_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_mfit')
})
observeEvent(input$model_varcontrib_click, {
updateNavbarPage(session, 'mainpage', selected = 'tab_reg')
updateNavlistPanel(session, 'navlist_reg', 'tab_regvarcont')
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_home.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,
inputId = "var_itest1",
choices = names(data()),
selected = '')
updateSelectInput(session,
inputId = "var_itest2",
choices = names(data()),
selected = '')
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_itest1",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_itest1', choices = names(f_data))
}
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_itest2',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_itest2',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_itest2', choices = names(num_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_itest1",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_itest1', choices = names(f_data))
}
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_itest2',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_itest2',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_itest2', choices = names(num_data))
}
})
d_itest <- eventReactive(input$submit_itest, {
req(input$var_itest1)
req(input$var_itest2)
data <- final_split$train[, c(input$var_itest1, input$var_itest2)]
xpl_ts_ind_ttest(data, input$var_itest1, input$var_itest2,
input$itest_conf, input$itest_type)
})
output$itest_out <- renderPrint({
d_itest()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_itest.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,inputId = "var_levtest",
choices = names(data()), selected = '')
updateSelectInput(session,inputId = "var_levtestg1",
choices = names(data()), selected = '')
updateSelectInput(session,inputId = "var_levtestg2",
choices = names(data()), selected = '')
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_levtest',
choices = names(numdata), selected = names(numdata))
updateSelectInput(session, 'var_levtestg1',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_levtest',
choices = '', selected = '')
updateSelectInput(session, 'var_levtestg1',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_levtest', choices = names(num_data))
updateSelectInput(session, 'var_levtestg1', choices = names(num_data))
}
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_levtestg2",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_levtestg2', choices = names(f_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_levtest',
choices = names(numdata), selected = names(numdata))
updateSelectInput(session, 'var_levtestg1',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_levtest',
choices = '', selected = '')
updateSelectInput(session, 'var_levtestg1',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_levtest', choices = names(num_data))
updateSelectInput(session, 'var_levtestg1', choices = names(num_data))
}
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_levtestg2",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_levtestg2', choices = names(f_data))
}
})
d_levtest <- eventReactive(input$submit_levtest, {
req(input$var_levtest)
data <- final_split$train[, c(input$var_levtest)]
xpl_levene_test(data, variables = input$var_levtest)
})
d_levtestg <- eventReactive(input$submit_levtestg, {
req(input$var_levtestg1)
req(input$var_levtestg2)
data <- final_split$train[, c(input$var_levtestg1, input$var_levtestg2)]
xpl_levene_test(data, input$var_levtestg1, group_var = input$var_levtestg2)
})
output$levtest_out <- renderPrint({
d_levtest()
})
output$levtestg_out <- renderPrint({
d_levtestg()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_levene.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session, 'var_mcnemar1', choices = names(data()))
updateSelectInput(session, 'var_mcnemar2', choices = names(data()))
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, 'var_mcnemar1', choices = names(fdata))
updateSelectInput(session, 'var_mcnemar2', choices = names(fdata))
} else {
updateSelectInput(session, 'var_mcnemar1', choices = names(f_data))
updateSelectInput(session, 'var_mcnemar2', choices = names(f_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, 'var_mcnemar1', choices = names(fdata))
updateSelectInput(session, 'var_mcnemar2', choices = names(fdata))
} else {
updateSelectInput(session, 'var_mcnemar1', choices = names(f_data))
updateSelectInput(session, 'var_mcnemar2', choices = names(f_data))
}
})
d_mcnemar <- eventReactive(input$submit_mcnemar, {
req(input$var_mcnemar1)
req(input$var_mcnemar2)
data <- final_split$train[, c(input$var_mcnemar1, input$var_mcnemar2)]
k <- table(data[, 1], data[, 2])
xpl_mcnemar_test(k)
})
output$mcnemar_out <- renderPrint({
d_mcnemar()
})
result2 <- eventReactive(input$submit_mcnemarc, {
k <- matrix(c(input$mc_00, input$mc_10, input$mc_01, input$mc_11), nrow = 2)
xpl_mcnemar_test(k)
})
output$mcnemarc_out <- renderPrint({
result2()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_mcnemar.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,
inputId = "var_osproptest",
choices = names(data()),
selected = '')
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_osproptest",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_osproptest', choices = names(f_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_osproptest",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_osproptest', choices = names(f_data))
}
})
d_osproptest <- eventReactive(input$submit_osproptest, {
req(input$var_osproptest)
data <- final_split$train
xpl_os_prop_test(data, input$var_osproptest, input$osproptest_prob,
input$osproptest_type)
})
output$osproptest_out <- renderPrint({
d_osproptest()
})
ospropcalc <- eventReactive(input$submit_ospropcalc, {
xpl_os_prop_test(data = input$n_ospropcalc, phat = as.numeric(input$p_ospropcalc), prob = input$prob_ospropcalc,
alternative = input$ospropcalc_type)
})
output$ospropcalc_out <- renderPrint({
ospropcalc()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_osprop.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,
inputId = "var_osvartest",
choices = names(data()),
selected = '')
})
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_osvartest',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_osvartest',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_osvartest', choices = names(num_data))
}
})
observeEvent(input$submit_part_train_per, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_osvartest',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_osvartest',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_osvartest', choices = names(num_data))
}
})
d_osvartest <- eventReactive(input$submit_osvartest, {
data <- final_split$train
xpl_os_var_test(data, input$var_osvartest, input$sd_osvartest,
input$osvartest_conf, input$osvartest_type)
})
output$osvartest_out <- renderPrint({
d_osvartest()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_osvar.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,
inputId = "var_ptest1",
choices = names(data()),
selected = '')
updateSelectInput(session,
inputId = "var_ptest2",
choices = names(data()),
selected = '')
})
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_ptest1',
choices = names(numdata), selected = names(numdata))
updateSelectInput(session, 'var_ptest2',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_ptest1',
choices = '', selected = '')
updateSelectInput(session, 'var_ptest2',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_ptest1', choices = names(num_data))
updateSelectInput(session, 'var_ptest2', choices = names(num_data))
}
updateSelectInput(session,
inputId = "var_ptest1",
choices = names(num_data))
updateSelectInput(session,
inputId = "var_ptest2",
choices = names(num_data))
})
observeEvent(input$submit_part_train_per, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_ptest1',
choices = names(numdata), selected = names(numdata))
updateSelectInput(session, 'var_ptest2',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_ptest1',
choices = '', selected = '')
updateSelectInput(session, 'var_ptest2',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_ptest1', choices = names(num_data))
updateSelectInput(session, 'var_ptest2', choices = names(num_data))
}
updateSelectInput(session,
inputId = "var_ptest1",
choices = names(num_data))
updateSelectInput(session,
inputId = "var_ptest2",
choices = names(num_data))
})
d_ptest <- eventReactive(input$submit_ptest, {
data <- final_split$train
xpl_ts_paired_ttest(data, input$var_ptest1, input$var_ptest2,
input$ptest_conf, input$ptest_type)
})
output$ptest_out <- renderPrint({
d_ptest()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_ptest.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session, 'var_runs', choices = names(data()))
})
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_runs',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_runs',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_runs', choices = names(num_data))
}
updateSelectInput(session, 'var_runs', choices = names(num_data))
})
observeEvent(input$submit_part_train_per, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_runs',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_runs',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_runs', choices = names(num_data))
}
updateSelectInput(session, 'var_runs', choices = names(num_data))
})
d_runs <- eventReactive(input$submit_runs, {
req(input$var_runs)
data <- final_split$train
xpl_runs_test(data, input$var_runs,
as.logical(input$runs_drop),
as.logical(input$runs_split),
as.logical(input$runs_mean),
input$runs_thold)
})
output$runs_out <- renderPrint({
d_runs()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_runs.R |
# output
output$screen <- renderPrint({
ds_screener(filt_data$p)
})
observeEvent(input$finalok, {
updateNavbarPage(session, 'mainpage', selected = 'tab_home_analyze')
updateNavlistPanel(session, 'navlist_home', 'tab_infer_home')
})
final_split <- reactiveValues(train = NULL)
observeEvent(input$finalok, {
final_split$train <- filt_data$p
}) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_screen.R |
show_but_sel <- eventReactive(input$button_selvar_yes, {
column(12, align = 'center',
selectInput(
inputId = 'dplyr_selvar',
label = '',
choices = '',
selected = '',
multiple = TRUE,
selectize = TRUE
)
)
})
output$show_sel_button <- renderUI({
show_but_sel()
})
sel_sub_but <- eventReactive(input$button_selvar_yes, {
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_dply_selvar', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_seldata", "Click here to select variables.",
"bottom", options = list(container = "body"))
)
})
output$sub_sel_button <- renderUI({
sel_sub_but()
})
observe({
updateSelectInput(
session,
inputId = "dplyr_selvar",
choices = names(data()),
selected = names(data())
)
})
observeEvent(input$button_selvar_yes, {
updateSelectInput(
session,
inputId = "dplyr_selvar",
choices = names(final()),
selected = names(final())
)
})
final_sel <- reactiveValues(a = NULL)
finalsel <- eventReactive(input$submit_dply_selvar, {
k <- final() %>%
select(input$dplyr_selvar)
k
})
observeEvent(input$submit_dply_selvar, {
final_sel$a <- finalsel()
})
observeEvent(input$button_selvar_no, {
final_sel$a <- final()
})
observeEvent(input$button_selvar_no, {
removeUI(
selector = "div:has(> #dplyr_selvar)"
)
removeUI(
selector = "div:has(> #submit_dply_selvar)"
)
})
observeEvent(input$button_selvar_no, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_filter')
})
observeEvent(input$submit_dply_selvar, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_filter')
}) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_select.R |
library(stringr)
output$trans_try <- renderUI({
ncol <- as.integer(ncol(uploadata$t))
lapply(1:ncol, function(i) {
fluidRow(
column(3,
selectInput(paste("n_col_", i), label = '', width = '150px',
choices = names(uploadata$t)[i], selected = names(uploadata$t)[i])
),
column(3,
textInput(paste("new_name_", i),
label = '', width = '150px',
value = names(uploadata$t)[i])
),
column(3,
selectInput(paste0("data_type_", i),
label = '', width = '150px',
choices = c('numeric', 'factor', 'Date', 'character', 'integer'),
selected = class(uploadata$t[[i]]))
),
column(3,
conditionalPanel(condition = paste(paste0("input.data_type_", i), "== 'Date'"),
column(4, br(), tags$h5('Format')),
column(8,
selectInput(paste("date_type_", i),
label = '', width = '150px',
choices = c('%d %m %y', '%d %m %Y', '%y %m %d', '%Y %m %d', '%d %y %m', '%d %Y %m',
'%m %d %y', '%m %d %Y', '%y %d %m', '%Y %d %m', '%m %y %d', '%m %Y %d',
'%d/%m/%y', '%d/%m/%Y', '%y/m /%d', '%Y/%m/%d', '%d/%y/%m', '%d/%Y/%m',
'%m/%d/%y', '%m/%d/%Y', '%y/%d/%m', '%Y/%d/%m', '%m/%y/%d', '%m/%Y/%d',
'%d-%m-%y', '%d-%m-%Y', '%y-m -%d', '%Y-%m-%d', '%d-%y-%m', '%d-%Y-%m',
'%m-%d-%y', '%m-%d-%Y', '%y-%d-%m', '%Y-%d-%m', '%m-%y-%d', '%m-%Y-%d'
),
selected = '%Y %m %d')
)
)
)
)
})
})
original <- reactive({
uploadata$t
})
save_names <- reactive({
names(original())
})
n <- reactive({
length(original())
})
data_types <- reactive({
ncol <- as.integer(ncol(uploadata$t))
collect <- list(lapply(1:ncol, function(i) {
input[[paste0("data_type_", i)]]
}))
colors <- unlist(collect)
})
new_names <- reactive({
ncol <- as.integer(ncol(uploadata$t))
collect <- list(lapply(1:ncol, function(i) {
input[[paste("new_name_", i)]]
}))
colors <- unlist(collect)
colnames <- str_replace(colors, " ", "_")
})
# original <- reactive({
# data()
# })
# save_names <- reactive({
# names(original())
# })
# n <- reactive({
# length(original())
# })
# data_types <- reactive({
# ncol <- as.integer(ncol(data()))
# collect <- list(lapply(1:ncol, function(i) {
# input[[paste0("data_type_", i)]]
# }))
# colors <- unlist(collect)
# })
# new_names <- reactive({
# ncol <- as.integer(ncol(data()))
# collect <- list(lapply(1:ncol, function(i) {
# input[[paste("new_name_", i)]]
# }))
# colors <- unlist(collect)
# colnames <- str_replace(colors, " ", "_")
# })
copy <- eventReactive(input$apply_changes, {
out <- list()
for (i in seq_len(n())) {
if (data_types()[i] == 'Date') {
inp <- eval(parse(text = paste0('input$', paste0('date_type_', i))))
out[[i]] <- eval(parse(text = paste0("as.", data_types()[i], "(original()$", save_names()[i], ", ", inp, ")")))
} else {
out[[i]] <- eval(parse(text = paste0("as.", data_types()[i], "(original()$", save_names()[i], ")")))
}
}
names(out) <- new_names()
return(out)
})
final <- eventReactive(input$apply_changes, {
data.frame(copy(), stringsAsFactors = F)
})
observeEvent(input$apply_changes, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_selvar')
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_transform2.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,inputId = "var_tsproptest1",
choices = names(data()), selected = '')
updateSelectInput(session,inputId = "var_tsproptestg1",
choices = names(data()), selected = '')
updateSelectInput(session,inputId = "var_tsproptest2",
choices = names(data()), selected = '')
updateSelectInput(session,inputId = "var_tsproptestg2",
choices = names(data()), selected = '')
})
observeEvent(input$finalok, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_tsproptest1", choices = names(fdata))
updateSelectInput(session, inputId = "var_tsproptest2", choices = names(fdata))
updateSelectInput(session, inputId = "var_tsproptestg1", choices = names(fdata))
updateSelectInput(session, inputId = "var_tsproptestg2", choices = names(fdata))
} else {
updateSelectInput(session, inputId = "var_tsproptest1", choices = names(f_data))
updateSelectInput(session, inputId = "var_tsproptest2", choices = names(f_data))
updateSelectInput(session, inputId = "var_tsproptestg1", choices = names(f_data))
updateSelectInput(session, inputId = "var_tsproptestg2", choices = names(f_data))
}
})
observeEvent(input$submit_part_train_per, {
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_tsproptest1", choices = names(fdata))
updateSelectInput(session, inputId = "var_tsproptest2", choices = names(fdata))
updateSelectInput(session, inputId = "var_tsproptestg1", choices = names(fdata))
updateSelectInput(session, inputId = "var_tsproptestg2", choices = names(fdata))
} else {
updateSelectInput(session, inputId = "var_tsproptest1", choices = names(f_data))
updateSelectInput(session, inputId = "var_tsproptest2", choices = names(f_data))
updateSelectInput(session, inputId = "var_tsproptestg1", choices = names(f_data))
updateSelectInput(session, inputId = "var_tsproptestg2", choices = names(f_data))
}
})
d_tsproptest <- eventReactive(input$submit_tsproptest, {
req(input$var_tsproptest1)
req(input$var_tsproptest2)
data <- final_split$train[, c(input$var_tsproptest1, input$var_tsproptest2)]
xpl_ts_prop_test(data, input$var_tsproptest1, input$var_tsproptest2,
input$tsproptest_type)
})
d_tsproptestg <- eventReactive(input$submit_tsproptestg, {
req(input$var_tsproptestg1)
req(input$var_tsproptestg2)
data <- final_split$train[, c(input$var_tsproptestg1, input$var_tsproptestg2)]
xpl_ts_prop_grp(data, input$var_tsproptestg1,
input$var_tsproptestg2,
input$tsproptestg_type)
})
output$tsproptest_out <- renderPrint({
d_tsproptest()
})
output$tsproptestg_out <- renderPrint({
d_tsproptestg()
})
tspropcalc <- eventReactive(input$submit_tspropcalc, {
xpl_ts_prop_calc(input$n1_tspropcalc, input$n2_tspropcalc, input$prop_tspropcalc1,
input$prop_tspropcalc2, input$tspropcalc_type)
})
output$tspropcalc_out <- renderPrint({
tspropcalc()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_tsprop.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,
inputId = "var_tsvartest1",
choices = names(data()),
selected = '')
updateSelectInput(session,
inputId = "var_tsvartest2",
choices = names(data()),
selected = '')
updateSelectInput(session,
inputId = "var_tsvartestg1",
choices = names(data()),
selected = '')
updateSelectInput(session,
inputId = "var_tsvartestg2",
choices = names(data()),
selected = '')
})
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_tsvartest1',
choices = names(numdata), selected = names(numdata))
updateSelectInput(session, 'var_tsvartest2',
choices = names(numdata), selected = names(numdata))
updateSelectInput(session, 'var_tsvartestg1',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_tsvartest1',
choices = '', selected = '')
updateSelectInput(session, 'var_tsvartest2',
choices = '', selected = '')
updateSelectInput(session, 'var_tsvartestg1',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_tsvartest1', choices = names(num_data))
updateSelectInput(session, 'var_tsvartest2', choices = names(num_data))
updateSelectInput(session, 'var_tsvartestg1', choices = names(num_data))
}
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_tsvartestg2",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_tsvartestg2', choices = names(f_data))
}
})
observeEvent(input$submit_part_train_per, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
f_data <- final_split$train[, sapply(final_split$train, is.factor)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, 'var_tsvartest1',
choices = names(numdata), selected = names(numdata))
updateSelectInput(session, 'var_tsvartest2',
choices = names(numdata), selected = names(numdata))
updateSelectInput(session, 'var_tsvartestg1',
choices = names(numdata), selected = names(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, 'var_tsvartest1',
choices = '', selected = '')
updateSelectInput(session, 'var_tsvartest2',
choices = '', selected = '')
updateSelectInput(session, 'var_tsvartestg1',
choices = '', selected = '')
} else {
updateSelectInput(session, 'var_tsvartest1', choices = names(num_data))
updateSelectInput(session, 'var_tsvartest2', choices = names(num_data))
updateSelectInput(session, 'var_tsvartestg1', choices = names(num_data))
}
if (is.null(dim(f_data))) {
k <- final_split$train %>% map(is.factor) %>% unlist()
j <- names(which(k == TRUE))
fdata <- tibble::as_data_frame(f_data)
colnames(fdata) <- j
updateSelectInput(session, inputId = "var_tsvartestg2",
choices = names(fdata))
} else {
updateSelectInput(session, 'var_tsvartestg2', choices = names(f_data))
}
})
d_tsvartest <- eventReactive(input$submit_tsvartest, {
req(input$var_tsvartest1)
req(input$var_tsvartest2)
data <- final_split$train[, c(input$var_tsvartest1, input$var_tsvartest2)]
xpl_ts_var_test(data, input$var_tsvartest1, input$var_tsvartest2,
alternative = input$tsvartest_type)
})
d_tsvartestg <- eventReactive(input$submit_tsvartestg, {
req(input$var_tsvartestg1)
req(input$var_tsvartestg2)
data <- final_split$train[, c(input$var_tsvartestg1, input$var_tsvartestg2)]
xpl_ts_var_test(data, input$var_tsvartestg1, input$var_tsvartestg2,
alternative = input$tsvartestg_type)
})
output$tsvartest_out <- renderPrint({
d_tsvartest()
})
output$tsvartestg_out <- renderPrint({
d_tsvartestg()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_tsvar.R |
source("xpl-helpers.R")
source("xpl-output.R")
source("xpl-format.R")
observe({
updateSelectInput(session,
inputId = "var_ttest",
choices = names(data()),
selected = '')
})
observeEvent(input$finalok, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, inputId = "var_ttest",
choices = names(numdata), selected = names(numdata))
updateNumericInput(session = session,
inputId = 'ttest_mu',
value = mean(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, inputId = "var_ttest",
choices = '', selected = '')
updateNumericInput(session = session,
inputId = 'ttest_mu',
value = '')
} else {
updateSelectInput(session, inputId = "var_ttest",
choices = names(num_data))
updateNumericInput(session = session,
inputId = 'ttest_mu',
value = mean(num_data))
}
})
observeEvent(input$submit_part_train_per, {
num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
if (is.null(dim(num_data))) {
k <- final_split$train %>% map(is.numeric) %>% unlist()
j <- names(which(k == TRUE))
numdata <- tibble::as_data_frame(num_data)
colnames(numdata) <- j
updateSelectInput(session, inputId = "var_ttest",
choices = names(numdata), selected = names(numdata))
updateNumericInput(session = session,
inputId = 'ttest_mu',
value = mean(numdata))
} else if (ncol(num_data) < 1) {
updateSelectInput(session, inputId = "var_ttest",
choices = '', selected = '')
updateNumericInput(session = session,
inputId = 'ttest_mu',
value = '')
} else {
updateSelectInput(session, inputId = "var_ttest",
choices = names(num_data))
updateNumericInput(session = session,
inputId = 'ttest_mu',
value = mean(num_data))
}
})
d_ttest <- eventReactive(input$submit_ttest, {
req(input$ttest_mu)
data <- final_split$train
xpl_os_t_test(data, input$var_ttest, as.numeric(input$ttest_mu),
input$ttest_alpha, input$ttest_type)
})
output$ttest_out <- renderPrint({
d_ttest()
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_ttest.R |
# importing data
inFile1 <- reactive({
if(is.null(input$file1)) {
return(NULL)
} else {
input$file1
}
})
data1 <- reactive({
if(is.null(inFile1())) {
return(NULL)
} else {
read.csv(inFile1()$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
}
})
# importing data
inFile2 <- reactive({
if(is.null(input$file2)) {
return(NULL)
} else {
input$file2
}
})
data2 <- reactive({
if(is.null(inFile2())) {
return(NULL)
} else {
ext <- tools::file_ext(inFile2()$name)
file.rename(inFile2()$datapath,
paste(inFile2()$datapath, ext, sep="."))
readxl::read_excel(
path = paste(inFile2()$datapath, ext, sep="."),
sheet = input$sheet_n
)
}
})
# importing data
inFile3 <- reactive({
if(is.null(input$file3)) {
return(NULL)
} else {
input$file3
}
})
data3 <- reactive({
if(is.null(inFile3())) {
return(NULL)
} else {
jsonlite::fromJSON(inFile3()$datapath)
}
})
# importing data
inFile4 <- reactive({
if(is.null(input$file4)) {
return(NULL)
} else {
input$file4
}
})
data4 <- reactive({
if(is.null(inFile4())) {
return(NULL)
} else {
haven::read_sas(inFile4()$datapath)
}
})
inFile5 <- reactive({
if(is.null(input$file5)) {
return(NULL)
} else {
input$file5
}
})
data5 <- reactive({
if(is.null(inFile5())) {
return(NULL)
} else {
haven::read_sav(inFile5()$datapath)
}
})
inFile6 <- reactive({
if(is.null(input$file6)) {
return(NULL)
} else {
input$file6
}
})
data6 <- reactive({
if(is.null(inFile6())) {
return(NULL)
} else {
haven::read_stata(inFile6()$datapath)
}
})
inFile7 <- reactive({
if(is.null(input$file7)) {
return(NULL)
} else {
input$file7
}
})
data7 <- reactive({
if(is.null(inFile7())) {
return(NULL)
} else {
readRDS(inFile7()$datapath)
}
})
observe({
updateSelectInput(
session,
inputId = 'sel_data',
label = '',
choices = c(input$file1$name, input$file2$name, input$file3$name,
input$file4$name, input$file5$name, input$file6$name, input$file7$name),
selected = ''
)
})
ext_type <- reactive({
ext <- tools::file_ext(input$sel_data)
})
# choosing sample data
sampdata <- reactiveValues(s = NULL)
observeEvent(input$exam_data, {
sampdata$s <- exam
})
observeEvent(input$treatment_data, {
sampdata$s <- treatment
})
observeEvent(input$mtcars_data, {
sampdata$s <- mtcars
})
observeEvent(input$hsb_data, {
sampdata$s <- hsb
})
observeEvent(input$mpg_data, {
sampdata$s <- mpg
})
observeEvent(input$diamonds_data, {
sampdata$s <- diamonds
})
uploadata <- reactiveValues(t = NULL)
observeEvent(input$submit_seldata, {
if (ext_type() == 'csv') {
uploadata$t <- data1()
} else if (ext_type() == 'xls') {
uploadata$t <- data2()
} else if (ext_type() == 'xlsx') {
uploadata$t <- data2()
} else if (ext_type() == 'json') {
uploadata$t <- data3()
} else if (ext_type() == 'sas7bdat') {
uploadata$t <- data4()
} else if (ext_type() == 'sav') {
uploadata$t <- uploadata$t <- data5()
} else if (ext_type() == 'dta') {
uploadata$t <- data6()
} else {
uploadata$t <- data7()
}
})
observeEvent(input$use_sample_data, {
uploadata$t <- sampdata$s
})
observeEvent(input$use_sample_data, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_transform')
})
observeEvent(input$submit_seldata, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_transform')
})
observeEvent(input$csv2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$csv2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$excel2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$excel2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$json2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$json2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$stata2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$stata2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$spss2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$spss2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$sas2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$sas2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$rds2datasrc, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$rds2datatrans, {
updateNavbarPage(session, 'mainpage', selected = 'tab_trans')
updateNavlistPanel(session, 'navlist_trans', 'tab_seldata')
})
observeEvent(input$welcomebutton, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_upload.R |
output$table <- renderDataTable({
final_split$train
})
observeEvent(input$view2getdata, {
updateNavbarPage(session, 'mainpage', selected = 'tab_upload')
updateNavlistPanel(session, 'navlist_up', 'tab_datasources')
})
observeEvent(input$view2analyze, {
updateNavbarPage(session, 'mainpage', selected = 'tab_eda')
updateNavlistPanel(session, 'navlist_eda', 'tab_summary')
}) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/logic/logic_view.R |
library(shiny)
library(data.table)
library(dplyr)
library(purrr)
library(tidyr)
library(tibble)
library(readxl)
library(readr)
library(jsonlite)
library(magrittr)
library(tools)
library(lubridate)
library(scales)
library(stringr)
library(rlang)
library(xplorerr)
shinyServer(function(input, output, session) {
source("logic/logic_dataoptions.R", local = T)
source("logic/logic_upload.R", local = T)
source("logic/logic_transform2.R", local = T)
source("logic/logic_select.R", local = T)
source("logic/logic_filter.R", local = T)
source("logic/logic_screen.R", local = T)
source("logic/logic_view.R", local = T)
source("logic/logic_ttest.R", local = T)
source("logic/logic_itest.R", local = T)
source("logic/logic_ptest.R", local = T)
source("logic/logic_binomtest.R", local = T)
source("logic/logic_osvar.R", local = T)
source("logic/logic_tsvar.R", local = T)
source("logic/logic_osprop.R", local = T)
source("logic/logic_tsprop.R", local = T)
source("logic/logic_anova.R", local = T)
source("logic/logic_levene.R", local = T)
source("logic/logic_chigof.R", local = T)
source("logic/logic_chict.R", local = T)
source("logic/logic_cochran.R", local = T)
source("logic/logic_runs.R", local = T)
source("logic/logic_mcnemar.R", local = T)
source("logic/logic_home.R", local = T)
source("logic/logic_exit_button.R", local = T)
})
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/server.R |
navbarMenu('Analyze', icon = icon('search-plus'),
source('ui/ui_homes.R', local = TRUE)[[1]],
# source('ui/ui_eda.R', local = TRUE)[[1]],
# source('ui/ui_dist.R', local = TRUE)[[1]],
source('ui/ui_inference.R', local = TRUE)[[1]]
# source('ui/ui_mlr.R', local = TRUE)[[1]]
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_analyze.R |
tabPanel('One Way ANOVA', value = 'tab_anova',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('One Way ANOVA'),
p('One way analysis of variance.')
),
column(6, align = 'right',
actionButton(inputId='anovalink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://inferr.rsquaredacademy.com/reference/infer_oneway_anova.html', '_blank')"),
actionButton(inputId='anovalink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=6ywh-fVTvFQ', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Variable:')),
column(2, align = 'left',
selectInput("var_anova1", label = '', width = '180px',
choices = "", selected = ""),
bsTooltip("var_anova1", "Select a variable.",
"left", options = list(container = "body"))),
column(2, align = 'right', br(), h5('Grouping Variable:')),
column(2, align = 'left',
selectInput("var_anova2", label = '', width = '180px',
choices = "", selected = ""),
bsTooltip("var_anova2", "Select a grouping variable.",
"left", options = list(container = "body"))),
column(4, align = 'center',
br(),
actionButton(inputId = 'submit_anova', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_anova", "Click here to view test result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('anova_out')
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_anova.R |
tabPanel('Binomial Test', value = 'tab_binomtest',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Binomial Test'),
p('Test whether the proportion of successes on a two-level categorical
dependent variable significantly differs from a hypothesized value.')
),
column(6, align = 'right',
actionButton(inputId='binomtestlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://inferr.rsquaredacademy.com/reference/infer_binom_calc.html', '_blank')"),
actionButton(inputId='binomtestlink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=Xe-NJX55gcg', '_blank')")
)
),
hr(),
fluidRow(
column(12,
tabsetPanel(type = 'tabs',
tabPanel('Using Variable',
fluidPage(
fluidRow(
column(1, align = 'right', br(), h5('Variable:')),
column(3, align = 'left',
selectInput("var_binomtest", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_binomtest", "Select a variable.",
"left", options = list(container = "body"))),
column(1, align = 'right', br(), h5('Probability:')),
column(3, align = 'left',
numericInput('binomtest_prob', label = '', width = '200px',
min = 0, value = 0.5, max = 1, step = 0.01),
bsTooltip("binomtest_prob", "Probability",
"bottom", options = list(container = "body"))),
column(4, align = 'center',
br(),
actionButton(inputId = 'submit_binomtest', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_binomtest", "Click here to view t test result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('binomtest_out')
)
)
)
),
tabPanel('Calculator',
fluidPage(
fluidRow(
column(2, align = 'right', br(), h5('N:')),
column(2, align = 'left',
numericInput("n_binomcalc", label = '', width = '200px',
min = 0, step = 1, value = 1),
bsTooltip("n_binomcalc", "Number of observations",
"left", options = list(container = "body"))),
column(2, align = 'right', br(), h5('Success:')),
column(2, align = 'left',
numericInput('s_binomcalc', label = '', width = '200px',
min = 0, value = 1, step = 1),
bsTooltip("s_binomcalc", "Number of success",
"bottom", options = list(container = "body"))),
column(2, align = 'right', br(), h5('Probability:')),
column(2, align = 'left',
numericInput('p_binomcalc', label = '', width = '200px',
min = 0, value = 0.5, step = 0.1, max = 1),
bsTooltip("p_binomcalc", "Probability",
"bottom", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_binomcalc', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_binomcalc", "Click here to view t test result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('binomcalc_out')
)
)
)
)
)
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_binomtest.R |
tabPanel('Chi Square Association', value = 'tab_chict',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Chi Square Test of Association'),
p('Examine if there is a relationship between two categorical variables.')
),
column(6, align = 'right',
actionButton(inputId='chiasso1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://inferr.rsquaredacademy.com/reference/infer_chisq_assoc_test.html', '_blank')"),
actionButton(inputId='chiasso3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=p7-KcyeVl8s', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Variable 1:')),
column(2, align = 'left',
selectInput("var_chict1", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_chict1", "Select a variable.",
"left", options = list(container = "body"))),
column(2, align = 'right', br(), h5('Variable 2:')),
column(2, align = 'left',
selectInput("var_chict2", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_chict2", "Select a variable.",
"left", options = list(container = "body"))),
column(4, align = 'center',
br(),
actionButton(inputId = 'submit_chict', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_chict", "Click here to view result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('chict_out')
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_chict.R |
tabPanel('Chi Square GoF', value = 'tab_chigof',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Chi Square Goodness of Fit Test'),
p('Test whether the observed proportions for a categorical variable differ from hypothesized proportions')
),
column(6, align = 'right',
actionButton(inputId='chigoflink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://inferr.rsquaredacademy.com/reference/infer_chisq_gof_test.html', '_blank')"),
actionButton(inputId='chigoflink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=QJiKVByQTt8', '_blank')")
)
),
hr(),
fluidRow(
column(3, align = 'right', br(), h5('Variable:')),
column(3, align = 'left',
selectInput("var_chigof", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_chigof", "Select a variable.",
"left", options = list(container = "body"))),
column(2, align = 'right', br(), h5('Continuity Correction:')),
column(4, align = 'left',
selectInput('chigof_cc', '', width = '200px',
choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("chigof_cc", "Apply continuity correction",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
br(),
column(6, align = 'right', br(), h5('Expected Proportion:')),
column(4, align = 'left', uiOutput('chigof_prop'))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'update_chigof', label = 'Update', width = '120px', icon = icon('check')),
bsTooltip("update_chigof", "Update proportions",
"bottom", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_chigof', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_chigof", "Click here to view result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('chigof_out')
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_chigof.R |
tabPanel('Cochran Test', value = 'tab_cochran',
fluidPage(
fluidRow(
column(8, align = 'left',
h4("Cochran's Q Test"),
p('Test if the proportions of 3 or more dichotomous variables are equal in the same population.')
),
column(4, align = 'right',
actionButton(inputId='cochranlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://inferr.rsquaredacademy.com/reference/infer_cochran_qtest.html', '_blank')"),
actionButton(inputId='cochranlink3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=rLix3uAvqck', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Select Variables:')),
column(10, align = 'left',
selectInput("var_cochran", label = '', width = '660px',
choices = "", selected = "",
multiple = TRUE, selectize = TRUE),
bsTooltip("var_cochran", "Select variables.",
"left", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_cochran', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_cochran", "Click here to view result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('cochran_out')
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_cochran.R |
navbarMenu('Data', icon = icon('database'),
source('ui/ui_up.R', local = TRUE)[[1]],
source('ui/ui_trans.R', local = TRUE)[[1]],
source('ui/ui_scr.R', local = TRUE)[[1]],
# source('ui/ui_sample.R', local = TRUE)[[1]],
# source('ui/ui_partition.R', local = TRUE)[[1]],
source('ui/ui_vi.R', local = TRUE)[[1]]
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_data.R |
tabPanel('Upload File', value = 'tab_uploadfile',
fluidPage(
includeCSS("mystyle.css"),
fluidRow(
column(12,
tabsetPanel(type = 'tabs', id = 'tabset_upload',
tabPanel('CSV', value = 'tab_upload_csv',
fluidPage(
br(),
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a comma or tab separated file.')
),
column(4, align = 'right',
actionButton(inputId='uploadlink2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=lheslEn5icc#t=00m25s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput('file1', 'Data Set:',
accept = c('text/csv', '.csv',
'text/comma-separated-values,text/plain')
)
)
),
fluidRow(
column(12, align = 'center', checkboxInput('header', 'Header', TRUE))
),
fluidRow(
column(12, align = 'center',
selectInput('sep', 'Separator',
choices = c('Comma' = ',', 'Semicolon' = ';', 'Tab' = '\t'), selected = ',')
)
),
fluidRow(
column(12, align = 'center',
selectInput('quote', 'Quote',
choices = c('None' = '', 'Double Quote' = '"', 'Single Quote' = "'"), selected = '')
)
),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='csv2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='csv2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('Excel', value = 'tab_upload_excel',
fluidPage(
br(),
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .xls or .xlsx file.')
),
column(4, align = 'right',
actionButton(inputId='uploadexcel2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=lheslEn5icc#t=00m25s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file2',
label = 'Choose file:',
accept = c('.xls', '.xlsx')
)
)
),
fluidRow(
column(12, align = 'center',
numericInput(
inputId = 'sheet_n',
label = 'Sheet',
value = 1,
min = 1,
step = 1,
width = '120px'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='excel2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='excel2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('JSON', value = 'tab_upload_json',
br(),
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .json file.')
),
column(4, align = 'right',
actionButton(inputId='uploadjson2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=lheslEn5icc#t=00m25s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file3',
label = 'Choose file:',
accept = '.json'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='json2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='json2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('STATA', value = 'tab_upload_stata',
br(),
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .dta file.')
),
column(4, align = 'right',
actionButton(inputId='uploadstata2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=lheslEn5icc#t=00m25s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file6',
label = 'Choose file:',
accept = '.dta'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='stata2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='stata2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('SPSS', value = 'tab_upload_spss',
br(),
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .sav file.')
),
column(4, align = 'right',
actionButton(inputId='uploadspss2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=lheslEn5icc#t=00m25s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file5',
label = 'Choose file:',
accept = '.sav'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='spss2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='spss2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('SAS', value = 'tab_upload_sas',
br(),
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a .sas7bdat file.')
),
column(4, align = 'right',
actionButton(inputId='uploadsas2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=lheslEn5icc#t=00m25s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file4',
label = 'Choose file:',
accept = '.sas7bdat'
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='sas2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='sas2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
),
tabPanel('RDS', value = 'tab_upload_rds',
br(),
fluidPage(
fluidRow(
column(8, align = 'left',
h4('Upload Data'),
p('Upload data from a RDS file.')
),
column(4, align = 'right',
actionButton(inputId='uploadrds2', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=IckaPr19Bvc#t=00m29s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
fileInput(
inputId = 'file7',
label = 'Choose file:',
accept = ''
)
)
),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
br(),
fluidRow(
column(6, align = 'left',
actionButton(inputId='rds2datasrc', label="Data Sources", icon = icon("long-arrow-left"))
),
column(6, align = 'right',
actionButton(inputId='rds2datatrans', label="Data Selection", icon = icon("long-arrow-right"))
)
)
)
)
)
)
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_datafiles.R |
tabPanel('Data Sources', value = 'tab_datasources',
fluidPage(theme = shinytheme('cerulean'),
includeCSS("mystyle.css"),
fluidRow(
column(12, align = 'center',
h4('Use sample data or upload a file')
)
),
fluidRow(
column(6, align = 'right',
actionButton(
inputId = 'sample_data_yes',
label = 'Sample Data',
width = '120px'
)
),
column(6, align = 'left',
actionButton(
inputId = 'upload_files_yes',
label = 'Upload File',
width = '120px'
)
)
),
br(),
fluidRow(
column(12, align = 'center',
h6('The app takes a few seconds to load. Please wait for ~12 seconds.')
)
),
br(),
br(),
fluidRow(
uiOutput('upload_file_links')
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_dataoptions.R |
tabPanel('Sample Data', value = 'tab_use_sample',
fluidPage(
includeCSS("mystyle.css"),
fluidRow(
column(12, align = 'center',
h5('Click on a sample for more information')
)
),
br(),
fluidRow(
column(4, align = 'center',
actionButton(
inputId = 'mtcars_data',
label = 'mtcars',
width = '200px',
onclick ="window.open('https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/mtcars.html', 'newwindow', 'width=800,height=600')"
)
),
column(4, align = 'center',
actionButton(
inputId = 'mpg_data',
label = 'mpg',
width = '200px',
onclick ="window.open('https://ggplot2.tidyverse.org/reference/mpg.html', 'newwindow', 'width=800,height=600')"
)
),
column(4, align = 'center',
actionButton(
inputId = 'hsb_data',
label = 'hsb',
width = '200px',
onclick ="window.open('https://www.rsquaredacademy.com/descriptr/reference/hsb.html', 'newwindow', 'width=800,height=600')"
)
)
),
fluidRow(column(12, br())),
fluidRow(
column(4, align = 'center',
actionButton(
inputId = 'exam_data',
label = 'exam',
width = '200px',
onclick ="window.open('https://inferr.rsquaredacademy.com/reference/exam.html', 'newwindow', 'width=800,height=600')"
)
),
column(4, align = 'center',
actionButton(
inputId = 'treatment_data',
label = 'treatment',
width = '200px',
onclick ="window.open('https://www.rsquaredacademy.com/inferr/reference/treatment.html', 'newwindow', 'width=800,height=600')"
)
),
column(4, align = 'center',
actionButton(
inputId = 'diamonds_data',
label = 'diamonds',
width = '200px',
onclick ="window.open('https://ggplot2.tidyverse.org/reference/diamonds.html', 'newwindow', 'width=800,height=600')"
)
)
),
br(),
br(),
br(),
fluidRow(
column(12, align = 'center',
actionButton(
inputId = 'use_sample_data',
label = 'Use Sample Data',
width = '200px'
)
)
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_datasamples.R |
# Exit -----------------------------------------------------------
tabPanel("", value = "exit", icon = icon("power-off"),
br(),
br(),
br(),
br(),
br(),
br(),
# In case window does not close, one should see this message
fluidRow(column(3),
column(6, h2("Thank you for using", strong("inferr"), "!"))),
fluidRow(column(3),
column(6, h4("Now you should close this window.")))
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_exit_button.R |
tabPanel('Filter', value = 'tab_filter',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Filter Data'),
p('Click on Yes to filter data.')
),
column(6, align = 'right',
actionButton(inputId='fildatalink', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=lheslEn5icc#t=02m30s', '_blank')")
)
),
hr(),
fluidRow(
column(12, align = 'center',
h4('Do you want to filter data?')
),
column(6, align = 'right',
actionButton(
inputId = 'button_filt_yes',
label = 'Yes',
width = '120px'
)
),
column(6, align = 'left',
actionButton(
inputId = 'button_filt_no',
label = 'No',
width = '120px'
)
)
),
br(),
br(),
fluidRow(
uiOutput('filt_render')
),
fluidRow(
uiOutput('filt_trans')
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_filter.R |
tabPanel('Home', value = 'tab_home_analyze', icon = icon('home'),
navlistPanel(id = 'navlist_home',
well = FALSE,
widths = c(2, 10),
# source('ui/ui_home.R', local = TRUE)[[1]],
# source('ui/ui_eda_home.R', local = TRUE)[[1]],
# source('ui/ui_dist_home.R', local = TRUE)[[1]],
source('ui/ui_infer_home.R', local = TRUE)[[1]],
source('ui/ui_infer1_home.R', local = TRUE)[[1]],
source('ui/ui_infer2_home.R', local = TRUE)[[1]],
source('ui/ui_infer3_home.R', local = TRUE)[[1]]
# source('ui/ui_model_home.R', local = TRUE)[[1]]
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_homes.R |
tabPanel('Independent Sample t', value = 'tab_indttest',
fluidPage(
fluidRow(
column(6, align = 'left',
h4('Independent Sample t Test'),
p('Compare the means of two independent groups in order to determine
whether there is statistical evidence that the associated population
means are significantly different.')
),
column(6, align = 'right',
actionButton(inputId='indttest1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://inferr.rsquaredacademy.com/reference/infer_ts_ind_ttest.html', '_blank')"),
actionButton(inputId='indttest3', label="Demo", icon = icon("video-camera"),
onclick ="window.open('https://www.youtube.com/watch?v=iKFFzv9WiUo', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Variable 1:')),
column(4, align = 'left',
selectInput("var_itest1", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_itest1", "Select a variable.",
"left", options = list(container = "body"))),
column(2, align = 'right', br(), h5('Variable 2:')),
column(4, align = 'left',
selectInput("var_itest2", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_itest2", "Select a variable.",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('alpha:')),
column(4, align = 'left',
numericInput('itest_conf', label = '', width = '200px',
min = 0, value = 0.95, step = 0.01),
bsTooltip("itest_conf", "Confidence Level",
"bottom", options = list(container = "body"))),
column(2, align = 'right', br(), h5('Alternative:')),
column(4, align = 'left',
selectInput('itest_type', '', width = '200px',
choices = c("both", "less", "greater", "all"),
selected = "both"),
bsTooltip("itest_type", "Alternative hypothesis",
"bottom", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_itest', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submitittest", "Click here to view t test result.",
"bottom", options = list(container = "body"))
)
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('itest_out')
)
)
)
)
| /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_indttest.R |
tabPanel('Inference - 1', value = 'tab_infer1_home',
fluidPage(
fluidRow(
br(),
column(12, align = 'center',
h5('What do you want to do?')
),
br(),
br()
),
fluidRow(
column(12),
br(),
column(3),
column(4, align = 'left',
h5('One Sample t Test')
),
column(2, align = 'left',
actionButton(
inputId = 'inf_menu_1_t',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('One Sample Variance Test')
),
column(2, align = 'left',
actionButton(
inputId = 'inf_menu_1_var',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('One Sample Proportion Test')
),
column(2, align = 'left',
actionButton(
inputId = 'inf_menu_1_prop',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Chi Square Goodness of Fit')
),
column(2, align = 'left',
actionButton(
inputId = 'inf_menu_1_chi',
label = 'Click Here',
width = '120px'
)
),
column(3),
br(),
br(),
br(),
column(3),
column(4, align = 'left',
h5('Runs Test for Randomness')
),
column(2, align = 'left',
actionButton(
inputId = 'inf_menu_1_runs',
label = 'Click Here',
width = '120px'
)
),
column(3)
)
)
) | /scratch/gouwar.j/cran-all/cranData/xplorerr/inst/app-inferr/ui/ui_infer1_home.R |
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