title: RStudio suddenly extremely slow (12 march 2019)
body: <p>I ran into the super slow problem last Friday, then for 3 days it worked, and now it is back again. </p>
  
  <p>At first I thought it was the internet connection, but that seems not to be the case. 
  I've already tried various things such as: 
  - reinstall RStudio<br>
  - Reboot PC several times<br>
  - Use a different internet network<br>
  - remove all .RData and .RHistory files that I could find</p>
  
  <p>but it is still going at crawl speed. </p>
  
  <p>This morning it was running as expected, a few hours later at work, same laptop, it is super slow again. </p>
  
  <p>I have virtually no other programs open, and it is slow straight from the start after a reboot every single time. </p>
  
  <p>Does anyone have any suggestions how to figure out what is causing this, and how to solve it? </p>
  
  <p>I'm running Version 1.1.463 of RStudio on a windows 7 professional. </p>
  
  <pre><code> sessionInfo()
  R version 3.5.2 (2018-12-20)
  Platform: x86_64-w64-mingw32/x64 (64-bit)
  Running under: Windows 7 x64 (build 7601) Service Pack 1
  
  Matrix products: default
  
  locale:
  [1] LC_COLLATE=Dutch_Netherlands.1252  LC_CTYPE=Dutch_Netherlands.1252    LC_MONETARY=Dutch_Netherlands.1252 LC_NUMERIC=C                      
  [5] LC_TIME=Dutch_Netherlands.1252    
  
  attached base packages:
  [1] grid      stats     graphics  grDevices utils     datasets  methods   base     
  
  other attached packages:
   [1] flowPeaks_1.26.0           PerformanceAnalytics_1.5.2 xts_0.11-2                 zoo_1.8-4                  gtools_3.8.1              
   [6] lemon_0.4.3                gridExtra_2.3              pryr_0.1.4                 scales_1.0.0               stringi_1.3.1             
  [11] V8_2.0                     taRifx_1.0.6.1             webshot_0.5.1              broom_0.5.1                forcats_0.4.0             
  [16] stringr_1.4.0              dplyr_0.8.0.1              purrr_0.3.1                readr_1.3.1                tibble_2.0.1              
  [21] tidyverse_1.2.1            randomForest_4.6-14        yaml_2.2.0                 plyr_1.8.4                 colourpicker_1.0          
  [26] DT_0.5                     tidyr_0.8.3                htmlwidgets_1.3            plotly_4.8.0               ggplot2_3.1.0             
  [31] bit64_0.9-7                bit_1.1-14                 lubridate_1.7.4            shinyWidgets_0.4.5         shinyjqui_0.3.2           
  [36] shinyjs_1.0                shinydashboard_0.7.1       shinyBS_0.61               data.table_1.12.0          shiny_1.2.0               
  
  loaded via a namespace (and not attached):
   [1] httr_1.4.0        jsonlite_1.6      viridisLite_0.3.0 modelr_0.1.4      assertthat_0.2.0  cellranger_1.1.0  pillar_1.3.1      backports_1.1.3  
   [9] lattice_0.20-38   quadprog_1.5-5    glue_1.3.0        digest_0.6.18     promises_1.0.1    rvest_0.3.2       colorspace_1.4-0  htmltools_0.3.6  
  [17] httpuv_1.4.5.1    pkgconfig_2.0.2   haven_2.1.0       xtable_1.8-3      later_0.8.0       generics_0.0.2    withr_2.1.2       lazyeval_0.2.1   
  [25] cli_1.0.1         magrittr_1.5      crayon_1.3.4      readxl_1.3.0      mime_0.6          nlme_3.1-137      xml2_1.2.0        tools_3.5.2      
  [33] hms_0.4.2         munsell_0.5.0     compiler_3.5.2    rlang_0.3.1       rstudioapi_0.9.0  crosstalk_1.0.0   miniUI_0.1.1.1    gtable_0.2.0     
  [41] codetools_0.2-15  curl_3.3          reshape2_1.4.3    R6_2.4.0          knitr_1.22        Rcpp_1.0.0        xfun_0.5          tidyselect_0.2.5 
  </code></pre>