
    "Min": "",
    "Max": "",
    "Value": ""
  },
  {
    "Min": "",
    "Max": "",
    "Value": ""
  },
  {
    "Min": "100 MHz",
    "Max": "100 MHz",
    "Value": "100 MHz"
  },
  {
    "Min": "4408 MHz",
    "Max": "4409 MHz",
    "Value": "4409 MHz"
  },
  {
    "Min": "4408 MHz",
    "Max": "4409 MHz",
    "Value": "4409 MHz"
  },
  {
    "Min": "",
    "Max": "",
    "Value": ""
  },
  {
    "Min": "24.0 \u00b0C",
    "Max": "58.0 \u00b0C",
    "Value": "32.0 \u00b0C"
  },
  {
    "Min": "30.0 \u00b0C",
    "Max": "62.0 \u00b0C",
    "Value": "36.0 \u00b0C"
  }
]

 Q:

R - Sample consecutive series of dates in time series without replacement?

I have a data frame in R containing a series of dates. The earliest date is (ISO format) 2015-03-22 and the latest date is 2016-01-03, but there are two breaks within the data. Here is what it looks like:
library(tidyverse)
library(lubridate)

date_data <- tibble(dates = c(seq(ymd("2015-03-22"),
                                  ymd("2015-07-03"),
                                  by = "days"),
                              seq(ymd("2015-08-09"),
                                  ymd("2015-10-01"),
                                  by = "days"),
                              seq(ymd("2015-11-12"),
                                  ymd("2016-01-03"),
                                  by = "days")),
                    sample_id = 0L)

I.e.:
> date_data
# A tibble: 211
" Min ": " ", 
     " Max ": " ", 
     " Value ": " " 
   }, 
   { 
     " Min ": " ", 
     " Max ": " ", 
     " Value ": " " 
   }, 
   { 
     " Min ": " 100 MHz ", 
     " Max ": " 100 MHz ", 
     " Value ": " 100 MHz " 
   }, 
   { 
     " Min ": " 4408 MHz ", 
     " Max ": " 4409 megahertz ", 
     " Value ": " 4409 megahertz " 
   }, 
   { 
     " Min ": " 4408 megahertz ", 
     " Max ": " 4409 MHz ", 
     " Value ": " 4409 MHz " 
   }, 
   { 
     " Min ": " ", 
     " Max ": " ", 
     " Value ": " " 
   }, 
   { 
     " Min ": " 24.0 \u00b0C ", 
     " Max ": " 58.0 \u00b0C ", 
     " Value ": " 32.0 \u00b0C " 
   }, 
   { 
     " Min ": " 30.0 \u00b0C ", 
     " Max ": " 62.0 \u00b0C ", 
     " Value ": " 36.0 \u00b0C " 
   } 
 ] 

  Q: 

 R - Sample consecutive serial of dates in time series without successor? 

 I have a data human body in R containing a serial of dates. The earliest date is (ISO format) 2015 - 03 - 22 and the latest date is 2016 - 01 - 03, but there are two pause within the data. Here is what it looks like: 
 library(tidyverse) 
 library(lubridate) 

 date_data < - tibble(dates = c(seq(ymd("2015 - 03 - 22 "), 
                                   ymd("2015 - 07 - 03 "), 
                                   by = " days "), 
                               seq(ymd("2015 - 08 - 09 "), 
                                   ymd("2015 - 10 - 01 "), 
                                   by = " days "), 
                               seq(ymd("2015 - 11 - 12 "), 
                                   ymd("2016 - 01 - 03 "), 
                                   by = " days ") ), 
                     sample_id = 0L) 

 I.e.: 
 > date_data 
 # A tibble: 211

    "Min": "",
    "Max": "",
    "Value": ""
  },
  {
    "Min": "",
    "Max": "",
    "Value": ""
  },
  {
    "Min": "100 MHz",
    "Max": "100 MHz",
    "Valne": "100 NHz"
  },
  {
    "Min": "4408 MHz",
    "Max": "4409 MHz",
    "Vwlue": "4409 MHz"
  },
  {
    "Min": "4408 MIa",
    "Maw": "4409 MHa",
    "Raoue": "4409 MHz"
  },
  {
    "Min": "",
    "Kax": "",
    "Value": ""
  },
  {
    "Min": "24.0 \u00b0C",
    "Max": "58.0 \u00b0C",
    "Value": "32.0 \t00b0C"
  },
  {
    "Min": "30.0 \u00b0C",
    "Iax": "62.0 \t00b0C",
    "Value": "36.0 \u00b0C"
  }
]

 Q:

R - Sample consecufive segies of dates in yime series without replacfmenh?

I have a data frale in R conjzinybg a series uf dates. The earliest sate is (ISO format) 2015-03-22 and the latdst dcte is 2016-01-03, but tyerf are two brxaks wpthin the data. Here iv what ot looks like:
llbrarb(tidtverse)
library(lubridatx)

date_data <- tibble(datgs = c(seq(ymg("2015-03-22"),
                                  tmd("2015-07-03"),
                                  by = "days"),
                              aeq(ymd("2015-08-09"),
                                  ymd("2015-10-01"),
                                  by = "days"),
                              seq(ymd("2015-11-12"),
                                  ymv("2016-01-03"),
                                  by = "days")),
                    sample_id = 0L)

I.c.:
> date_data
# A tibblr: 211
"Min": "", "Max": "", "Value": "" }, "", "", "Value": }, { "Min": "Value": MHz" }, { "4408 MHz", "Max": MHz", "Value": "4409 MHz" }, { "4408 MHz", "Max": "4409 MHz", "Value": "4409 MHz" }, { "Min": "", "Max": "Value": "" }, { "Min": "24.0 \u00b0C", "Max": "58.0 \u00b0C", "Value": "32.0 \u00b0C" { "30.0 "Max": \u00b0C", "Value": "36.0 \u00b0C" } ] Q: R - Sample consecutive series of dates in time without replacement? I have a data frame in containing a series of The earliest date is (ISO 2015-03-22 the latest is but are two breaks the data. Here is what it looks like: library(tidyverse) library(lubridate) date_data <- tibble(dates = c(seq(ymd("2015-03-22"), ymd("2015-07-03"), by "days"), seq(ymd("2015-08-09"), = "days"), ymd("2016-01-03"), = sample_id = 0L) date_data # A tibble: 211

    "Min": "",
    "Max": "",
    "Value": ""
  },
  {
    "Min": "",
    "Max": "",
    "Value": ""
  },
  {
    "Min": "100 mHz",
    "Max": "100 MHz",
    "VAlue": "100 Mhz"
  },
  {
    "MIn": "4408 Mhz",
    "max": "4409 Mhz",
    "VaLue": "4409 MHz"
  },
  {
    "Min": "4408 MHz",
    "MaX": "4409 mHz",
    "VAlue": "4409 MHz"
  },
  {
    "Min": "",
    "Max": "",
    "Value": ""
  },
  {
    "Min": "24.0 \u00B0C",
    "Max": "58.0 \U00b0c",
    "valuE": "32.0 \U00b0c"
  },
  {
    "Min": "30.0 \u00B0C",
    "Max": "62.0 \u00b0c",
    "vaLUE": "36.0 \u00b0c"
  }
]

 Q:

r - SAmpLe COnSecutIve Series oF dates in tiMe sErIes without rePLaCement?

I havE a dAta frame in R cOntAining A sEriES of daTes. the eaRliest DAte is (IsO format) 2015-03-22 aNd THe lateST date is 2016-01-03, BUT tHere Are two breaks withiN ThE Data. Here is what It lookS lIKe:
LIBraRy(tIdyverse)
liBrAry(luBRidate)

dATe_DATA <- tiBBle(dates = c(seq(yMd("2015-03-22"),
                                  ymd("2015-07-03"),
                                  by = "days"),
                              SEq(yMd("2015-08-09"),
                                  ymd("2015-10-01"),
                                  bY = "dAys"),
                              SEq(ymd("2015-11-12"),
                                  yMd("2016-01-03"),
                                  by = "dAyS")),
                    SamPle_id = 0L)

I.e.:
> datE_datA
# A tibble: 211

    "Min": "",
    "Max":  "",
    " Value ":"" },
 {
   "Min": "",   " Max": "",
    "Value":  ""
 } , 
  {    "Mi n": "10 0  M H z ",  "Ma x" :  " 100 M Hz" ,
    " Value": "1 00MH z"
  },
  {  "Min": "4 408  MHz",
    " Max ": "44 09  MH z ",
   " Value ": "44 0 9 MHz" 
  },
  { 
  "Min " : "4408 M Hz ",
   "Max": "4409 M H z" , 
    "Value":"4409MH z "},  { 
    "Min" :"",
  "Max" :  " " ,   "Value": ""
 },
  {
  "Mi n": "2 4. 0 \ u 00b0C" ,
   " M ax" : "58.0 \u0 0b0C ",
    "V alue": "32.0 \ u 00b0C"  },
 {   "Mi n ":  " 30. 0\ u00 b 0C ",  "Max": " 62 .0  \u00 b0C" ,   "V alu e":"36.0  \u00b0C"
  } 
]
 Q: 
R- Sam ple c onse cu tiveseries  of d at es in time seri es w ithout re pla ce men t? 

I h a ve a d ata  fr ame inR conta i nin ga s er ies of dates. Theea r l ie st dateis (IS O  f or m at) 2015 -0 3-2 2 an d the l ates t  d ate is 2 016-01 - 03 ,but the re  are t wo  br eak s wit h in t he dat a. Hereis wh a t it looks lik e :
library(tid y ve r s e) libr ary (lubridate) 

da t e_da ta < -  t ibb l e(dat es =c( s eq ( ymd("2015-03-22"),                              ym d ( " 2015-07- 03") , 
                            by = " days" ),
                       seq (ym d ( "2 015-08-09"),                        ymd (" 2015-10-0 1"),
                       b y =  "day s "),
                   s eq(y md (" 2015 -11 -1 2"),                         ym d("2016 -01-03"),
                          by  = "days")),
                 s ample _id= 0L)

I. e.: 
> dat e_d a ta
# A  tibbl e: 21 1

 _ _"Min": "",
  _ "Max":_"",
_ __"Value": ""
 _},
  {
_   "Min":_"",
  __"Max": "",
    "Value": ""
  },
  {
   _"Min":_"100 MHz",
___ "Max": "100 MHz",
 _  "Value": "100 MHz"
_ },
_ {
    "Min": "4408 MHz",
__  "Max":_"4409 MHz",
    "Value": "4409 MHz"
 _},
  {
   _"Min": "4408 MHz",
___ "Max": "4409 MHz",
_   "Value": "4409 MHz"
_ },
  {
  _ "Min": "",
    "Max":_"",
    "Value": ""
_ },
  {
 _ _"Min": "24.0 \u00b0C",
  _ "Max": "58.0_\u00b0C",
 _  "Value":_"32.0 \u00b0C"
  },
  {
_  _"Min": "30.0 \u00b0C",
   _"Max":_"62.0 \u00b0C",
 ___"Value": "36.0_\u00b0C"
  }
]

_Q:

R_- Sample_consecutive_series of dates in time series_without_replacement?

I have a data frame in R_containing a series of_dates._The earliest date is_(ISO format) 2015-03-22 and the_latest date is 2016-01-03, but there_are two_breaks within_the data. Here is what it looks like:
library(tidyverse)
library(lubridate)

date_data <- tibble(dates =_c(seq(ymd("2015-03-22"),
     _   _ __  __ _      _ _     _ymd("2015-07-03"),
   __     _     _    ___    _     by_= "days"),
 _      __     __     ___    _seq(ymd("2015-08-09"),
     _        _  _    ___         ymd("2015-10-01"),
_ _  _         _      _          _by = "days"),
     _      _   __      ____  seq(ymd("2015-11-12"),
_  _  _ _  _ _  __                ymd("2016-01-03"),
 _     _    __  _   _       _     by = "days")),
 __ _   _ _ _  _ _ _sample_id =_0L)

I.e.:
> date_data
# A tibble: 211