Wrapping up

We hope you now have more familiarity with key concepts, tools, and techniques that will enable more efficient, reproducible, and impactful data research and science.

Session Info

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# Session info (for reproducibility / future reference)
session_info::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.
 
─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

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Housekeeping

• This workshop website (aka “show notes”) will be available.

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Can I continue to use the RStudio environment we used in the workshop?

• The PositCloud environment used in this workshop does not expire.
• If you have a version of RStuio installed on your laptop/workstation, you can download the workshop files to your own computer by viewing your workspace and clicking ⬇ Export; Posit-cloud will zip up a downloadable file.

Where else could I use RStudio?

• See Advanced setup instructions for details on how to install RStudio and required packages on your own computer.

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Where can I learn more about RStudio packages and functions?

• A nifty collection of cheatsheets for R and links to download some our favorites:
  • Base R
    
  • Data transformation with dplyr
  • Data visualization with ggplot2

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Can you recommend other relevant workshops or tutorials?

• The University of Michigan Bioinformatics Core regularly hosts workshops.
• Intro lessons and workshops in Bash / Git / R / Python :
  • Software Carpentry
• Some great “practice” datasets
  • tidytuesday : a site for sharing sample datasets
  • Kaggle : a site for learning AI/ML, but you can jump right to the sample datasets 😉

Are there other tools like RStudio that can help me work with R?

• In addition to RStudio, Posit recently developed a new tool called
  Positron. Positron has many of the same features as RStudio but with better support for Python. Like Rstudio, Positron is free.

Thank you

Thank you for participating in our workshop. We welcome your questions and feedback now and in the future.

The Workshop Team

bioinformatics-workshops@umich.edu
UM BRCF Bioinformatics Core

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