Move info from bluspice to this

[Felixmil]

From: https://wiki.esqlabs.com/wiki/Software/R_tips_and_tricks

RStudio

Useful shortcuts

• Find in files: Ctrl + Shift + F
• Insert assignment operator (<-): Alt + -
• Show all shortcuts: Alt + Shift + K
• Reload package:Cmd + Shift + L
• Navigate to: Ctrl + .
• Generate Doc: Ctrl + Shift + D
• Run unit tests: Ctrl + Shift + T
• Navigate to implementation: Mouse over + F2 or CTRL + Mouse Click
• Un-/Comment line/selection: Ctrl + Shift + C
• Select all occurrences of the selected variable: CTRL + SHIFT + ALT + M
• Cursor-Select multiple lines: Ctrl + Alt + Up/Down

Profiling

Profiling of code can be done within R-Studio with the package profvis, a descirption of the process is given here . In short, pass the code to be profiled as argument to the function profvis:

profvis({
  data(diamonds, package = "ggplot2")

  plot(price ~ carat, data = diamonds)
  m <- lm(price ~ carat, data = diamonds)
  abline(m, col = "red")
})

Markdown

• R Markdown Cookbook

• R Markdown Cookbook

• References in R Markdown using Zotero

Performance

If you want to see if a vector contains a single value, any(x == 10) is much faster than 10 %in% x because testing equality is simpler than testing set inclusion.
unlist(x, use.names = FALSE) is much faster than unlist(x).
A pernicious source of slow R code is growing an object with a loop. Whenever you use c(), append(), cbind(), rbind(), or paste() to create a bigger object, R must first allocate space for the new object and then copy the old object to its new home. If you repeat this many times, like in a for loop, this can be quite expensive.

External sources

General R

List of useful external information about R and RStudio.

• Advanced R by Hadley Wickham

ggplot2

• Here is a nice Cheatsheet on Theme options in ggplot2: https://github.com/claragranell/ggplot2/blob/main/ggplot_theme_system_cheatsheet.pdf

• And one of the most extensive guides on how you can change the looks of your ggplot2 graphs: https://www.cedricscherer.com/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/

[dlefaudeux]

And from esqlabsR github wiki (more or less the same as in bluespice):
https://github.com/esqLABS/esqlabsR/wiki/R-useful-information

[Felixmil]

related to #9