knitr::opts_chunk$set(eval = FALSE)
R code may need to determine whether it's being run within an RStudio session, versus a plain R session or something similar.
# check that RStudio is available via rstudioapi -- note that this must # be checked prior to calling any other rstudioapi APIs! if (rstudioapi::isAvailable()) { # determine more information via info <- rstudioapi::versionInfo() # check for desktop mode info$mode == "desktop" # check for server mode info$mode == "server" # check the version of RStudio in use info$version >= "1.4" } # check whether RStudio is running without relying on rstudioapi .Platform$GUI == "RStudio" # NOTE: may be unreliable in .Rprofile commandArgs()[[1]] == "RStudio"
A note: the RSTUDIO
environment variable will be set both within the main RStudio session, but also within child processes launched by RStudio. If you need to specifically detect if your code is running within the main RStudio session, we recommend using an alternate mechanism.
The rstudioapi
package allows you to interact with the running R session in a couple useful ways: you can send code to the R console, or restart the R session.
# restart R, then run some code after rstudioapi::restartSession(command = "print('Welcome back!')") # send some code to the console and execute it immediately rstudioapi::sendToConsole("1 + 1", execute = TRUE)
Typically, code that you want to run at the start of an R session is placed into an .Rprofile
file (see Initialization at the Start of a Session for details). However, RStudio's API hooks are not available until RStudio has fully started up, so most rstudioapi
methods will not work inside .Rprofile
.
If you want to invoke rstudioapi
methods on session startup, use the rstudio.sessionInit
hook. For example, to print the RStudio version to the R console when the session begins:
setHook("rstudio.sessionInit", function(newSession) { if (newSession) message("Welcome to RStudio ", rstudioapi::getVersion()) }, action = "append")
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