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Workflow: Scripts and projects

Max Hachemeister 2025-12-28

Prerequisites

library(tidyverse)
── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.1     ✔ stringr   1.5.2
✔ ggplot2   4.0.0     ✔ tibble    3.3.0
✔ lubridate 1.9.4     ✔ tidyr     1.3.1
✔ purrr     1.1.0     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

theme_set(theme_light())

Scripts

  • Are the the next stable unit after writing directly in the R console.
  • You can write and format the code first, and afterwards send it for execution to the R process.
  • Good for troubleshooting and iterative programming.
  • R Studio will also help you with marking possible problems in the sidebar.
  • You can also put sections in the script for overview and navigation.
  • These scripts can be shared and are reproducible in some sense.
    • Also as you save them you can search them later on for functions or other code blocks that might be useful beyond the direct purpose of the script.

Projects

  • Refer to a folder containing scripts, plots, data and other in- or output related to a single project.
  • There is also an environment, which is the collection of functions, data and objects related to the current project, or eben globally.
    • It is advised to clear it at the end of each session, so to make sure your scripts do not rely on some ephemeral objects, but create everything within their own code.

Exercises

1. Go to the RStudio Tips Twitter account, https://twitter.com/rstudiotips and find one tin that looks interesting. Practice using it!

2. What other common mistakes will RStudio diagnostics report? Read https://posit.co/blog/rstudio-1-4-preview-rainbow-parentheses/ to find out.

  • Check whether all arguments in a function were used.
  • Check for missing arguments and commas.
  • Check correct variable definition and usage.
  • Check adherence to RStudio code style.
  • Spellcheck, nice!