Objectives

  • Learn where to get help.
  • Learn how to ask for help with R.

Finding help

Part of trying new thinghs is occasionally getting stuck and needing help. Fortunately, you’re not alone, and if you can’t find a previous example of how to make something work, you can ask for help from the community of R folks. Here are some tips to make this process as helpful and efficient as possible.

  • R’s own suggestions in getting help are excellent.
  • Google is your friend and AI can also be your friend. But on occasion, they will cheerfully suggest a completely wrong answer, so always verify any proposed solution actually works for your problem.

There are a few websites that are useful for getting help with R.

Website Purpose
R Documentation Searchable documentation for R packages on CRAN and Bioconductor
Bioconductor Support Support forum for Bioconductor packages
stackoverflow General programming questions
Biostars Bioinformatics specific questions
R for data science An extremely readable website book that goes soup to nuts.
RWeekly Short kind of random tips/tidbits updated weekly
Posit Community Forum Questions asked and answered
Posit: Cheatsheets Super handy since no one has all the packages memorized
Posit: Getting help with R Curated links by the posit team

How to ask for help

If you can’t find the right solution already posted, you you can post your new question to a forum. R’s Posting Guide examples of how to ask for help with R. It’s a good read - but here’s the condensed version:

  1. Re-check if a question has already been asked. 😎
  2. Clearly describe your problem in words.
    State what you’re trying to do, what you tried, and the result, including the full text of any error message.
  3. Try to include a “minimally reproducible example”.
    This means providing the smallest block of data and code that anyone can run to reproduce the error and (we hope) diagnose the issue. Focusing the question on the suspect code with minimal data helps the respondents dive right in. (Often ’ times, when you’re trying to craft the minimal example, you learn something new and sometimes even resolve the original problem.)
I have this data frame:

my_data = read_csv("start, end, title
8:00, 4:00, Using R/R Studio
1:00, 4:00, Nextflow: Train the Trainers
8:00, 4:00, Lean Management for Shared Resources
")

But I want this data frame:
title                                workshop time  
Using R/R Studio                     start    08:00 
Using R/R Studio                     end      04:00 
Nextflow: Train the Trainers         start    01:00 
Nextflow: Train the Trainers         end      04:00 
Lean Management for Shared Resources start    08:00 
Lean Management for Shared Resources end      04:00

Note that sharing minimal example data often means you need to trim the data down to a small subset

  • Shown in the block above, read_csv allows you to “handcraft” data as a comma separated list of fields, one row per field.
  • You can use one of R’s built in example datasets like iris or mtcars. You can see the full list of built in datasets with data().
  • You can also use format_csv and head to prune a larger dataset to a few rows, e.g. cat(format_csv(head(mtcars))) to then copy into your post.
  1. Share your session info.
    Your problem and the solution often depends on the specific package versions you are using, so you should share this in your post. Sharing help others reproduce the issue and find a solution quicker. There are a couple ways to get the session information. The older/more common way is the sessionInfo command which will work in any R environment:
################################################################################
# Print out details about this R install, session, and loaded libraries
sessionInfo()
R version 4.4.3 (2025-02-28)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 20.04.6 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3;  LAPACK version 3.9.0

locale:
 [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8   
 [6] LC_MESSAGES=C.UTF-8    LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           LC_TELEPHONE=C        
[11] LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C   

time zone: UTC
tzcode source: system (glibc)

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] ggrepel_0.9.6      RColorBrewer_1.1-3 lubridate_1.9.4    forcats_1.0.0      stringr_1.5.1      dplyr_1.1.4       
 [7] purrr_1.0.4        readr_2.1.5        tidyr_1.3.1        tibble_3.2.1       ggplot2_3.5.1      tidyverse_2.0.0   

loaded via a namespace (and not attached):
 [1] vctrs_0.6.5       cli_3.6.4         rlang_1.1.5       stringi_1.8.7     generics_0.1.3    glue_1.8.0       
 [7] colorspace_2.1-1  hms_1.1.3         scales_1.3.0      grid_4.4.3        munsell_0.5.1     tzdb_0.5.0       
[13] lifecycle_1.0.4   compiler_4.4.3    sessioninfo_1.2.3 Rcpp_1.1.0        timechange_0.3.0  pkgconfig_2.0.3  
[19] rstudioapi_0.17.1 R6_2.6.1          tidyselect_1.2.1  pillar_1.10.2     magrittr_2.0.3    tools_4.4.3      
[25] withr_3.0.2       gtable_0.3.6 

The new, slightly more elegant is sessioninfo::session_info(). (Note, the sessioninfo package must be installed. We did that for you.)

################################################################################
# A more concise, pleasant version of sessionInfo()
# install.packages('session_info')
sessioninfo::session_info()
─ Session info ────────────────────────────────────────────────────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.4.3 (2025-02-28)
 os       Ubuntu 20.04.6 LTS
 system   x86_64, linux-gnu
 ui       RStudio
 language (EN)
 collate  C.UTF-8
 ctype    C.UTF-8
 tz       UTC
 date     2026-02-04
 rstudio  2025.05.1+513.pro3 Mariposa Orchid (server)
 pandoc   NA
 quarto   1.8.27 @ /usr/bin/quarto

─ Packages ────────────────────────────────────────────────────────────────────────────────────────────────────────────────
 package      * version date (UTC) lib source
 cli            3.6.4   2025-02-13 [1] RSPM (R 4.4.0)
 colorspace     2.1-1   2024-07-26 [1] RSPM (R 4.4.0)
 dplyr        * 1.1.4   2023-11-17 [1] RSPM (R 4.4.0)
 forcats      * 1.0.0   2023-01-29 [1] RSPM (R 4.4.0)
 generics       0.1.3   2022-07-05 [1] RSPM (R 4.4.0)
 ggplot2      * 3.5.1   2024-04-23 [1] RSPM (R 4.4.0)
 ggrepel      * 0.9.6   2024-09-07 [1] RSPM (R 4.4.3)
 glue           1.8.0   2024-09-30 [1] RSPM (R 4.4.0)
 gtable         0.3.6   2024-10-25 [1] RSPM (R 4.4.0)
 hms            1.1.3   2023-03-21 [1] RSPM (R 4.4.0)
 lifecycle      1.0.4   2023-11-07 [1] RSPM (R 4.4.0)
 lubridate    * 1.9.4   2024-12-08 [1] RSPM (R 4.4.0)
 magrittr       2.0.3   2022-03-30 [1] RSPM (R 4.4.0)
 munsell        0.5.1   2024-04-01 [1] RSPM (R 4.4.0)
 pillar         1.10.2  2025-04-05 [1] RSPM (R 4.4.0)
 pkgconfig      2.0.3   2019-09-22 [1] RSPM (R 4.4.0)
 purrr        * 1.0.4   2025-02-05 [1] RSPM (R 4.4.0)
 R6             2.6.1   2025-02-15 [1] RSPM (R 4.4.0)
 RColorBrewer * 1.1-3   2022-04-03 [1] RSPM (R 4.4.0)
 Rcpp           1.1.0   2025-07-02 [1] RSPM (R 4.4.3)
 readr        * 2.1.5   2024-01-10 [1] RSPM (R 4.4.0)
 rlang          1.1.5   2025-01-17 [1] RSPM (R 4.4.0)
 rstudioapi     0.17.1  2024-10-22 [1] RSPM (R 4.4.0)
 scales         1.3.0   2023-11-28 [1] RSPM (R 4.4.0)
 sessioninfo    1.2.3   2025-02-05 [1] RSPM (R 4.4.0)
 stringi        1.8.7   2025-03-27 [1] RSPM (R 4.4.0)
 stringr      * 1.5.1   2023-11-14 [1] RSPM (R 4.4.0)
 tibble       * 3.2.1   2023-03-20 [1] RSPM (R 4.4.0)
 tidyr        * 1.3.1   2024-01-24 [1] RSPM (R 4.4.0)
 tidyselect     1.2.1   2024-03-11 [1] RSPM (R 4.4.0)
 tidyverse    * 2.0.0   2023-02-22 [1] RSPM (R 4.4.0)
 timechange     0.3.0   2024-01-18 [1] RSPM (R 4.4.0)
 tzdb           0.5.0   2025-03-15 [1] RSPM (R 4.4.0)
 vctrs          0.6.5   2023-12-01 [1] RSPM (R 4.4.0)
 withr          3.0.2   2024-10-28 [1] RSPM (R 4.4.0)

 [1] /cloud/lib/x86_64-pc-linux-gnu-library/4.4
 [2] /opt/R/4.4.3/lib/R/library
 * ── Packages attached to the search path.
 
─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────


Summary

  • Needing help is good - it means you are learning and growing.
  • There are lots of web resources for general and specific questions.
  • When asking for help:
    • Describe your problem clearly.
    • Include a “minimally reproducible example”.
    • Include your session info.

“All of us, at some time or other, need help. Whether we’re giving or receiving help, each one of us has something valuable to bring to this world.”
— Fred Rogers



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