vanilla session in R Gui or RStudio
As Jeff says, it might be that you have a ~/.Rprofile file with instructions to load packages when R starts. It could also be that you have a .RData file, which is saved if you answer yes to:
Save workspace image? [y/n/c]: y
when you quit R. If this file exists, then R loads it and all the objects you had when you saved it. If there are objects associated with packages, then that will cause those packages to be loaded when R starts. To avoid this, you need to move or delete the .RData file. You can use:
startup::startup(debug = TRUE, dryrun = TRUE)
to get detailed information on what happens when R starts, e.g. if you have a .Rprofile file and an .RData file. That might help you to track down what's going on. The 'startup' package is on CRAN. I don't know of an easy way to restart RGui or RStudio Console in vanilla mode, similarly how you can start R at the terminal with 'R --vanilla'. /Henrik
On Thu, Oct 22, 2020 at 4:14 PM Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote:
Have you looked into your .Rprofile file? Loading packages is not something R normally does without your telling it to do so, but many people forget that they have done so. On October 22, 2020 3:47:04 PM PDT, Michael L Friendly <friendly at yorku.ca> wrote:
[env: Windows, R 3.6.6] When I start R from the R Gui icon or from RStudio, I get a large number of packages loaded via a namespace. Not entirely clear where these come from. As a result, I often run into problems updating packages because something is already loaded. How can start a new gui session with minimal packages loaded?
sessionInfo()
R version 3.6.3 (2020-02-29) 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=English_United States.1252 LC_CTYPE=English_United States.1252 [3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C [5] LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base loaded via a namespace (and not attached): [1] statmod_1.4.34 xfun_0.18 tidyselect_1.1.0 reshape2_1.4.4 purrr_0.3.4 mitools_2.4 [7] splines_3.6.3 lattice_0.20-41 coefplot_1.2.6 carData_3.0-4 colorspace_1.4-1 vctrs_0.3.4 [13] generics_0.0.2 htmltools_0.5.0 yaml_2.2.1 survival_3.2-7 rlang_0.4.7 pillar_1.4.6 [19] nloptr_1.2.2.2 glue_1.4.2 DBI_1.1.0 lifecycle_0.2.0 plyr_1.8.6 stringr_1.4.0 [25] effects_4.2-0 munsell_0.5.0 gtable_0.3.0 evaluate_0.14 knitr_1.30 fansi_0.4.1 [31] Rcpp_1.0.5 scales_1.1.1 useful_1.2.6 fs_1.4.2 lme4_1.1-23 packrat_0.5.0 [37] ggplot2_3.3.2 digest_0.6.25 stringi_1.4.6 insight_0.9.6 dplyr_1.0.2 survey_4.0 [43] grid_3.6.3 cli_2.1.0 tools_3.6.3 magrittr_1.5 tibble_3.0.4 crayon_1.3.4 [49] pkgconfig_2.0.3 ellipsis_0.3.1 MASS_7.3-53 Matrix_1.2-18 reprex_0.3.0 assertthat_0.2.1 [55] minqa_1.2.4 rmarkdown_2.4 rstudioapi_0.11 R6_2.4.1 boot_1.3-25 nnet_7.3-14 [61] nlme_3.1-149 compiler_3.6.3
Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. & Former Chair, ASA Statistical Graphics Section York University Voice: 416 736-2100 x66249 4700 Keele Street Web: http://www.datavis.ca | @datavisFriendly Toronto, ONT M3J 1P3 CANADA
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______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.