New release: startup 0.10.0 is now on CRAN. If your R startup files (.Renviron and .Rprofile) get long and windy, or if you want to make parts of them public and other parts private, then you can use the startup package to split them up in separate files and directories under .Renviron.d/ and .Rprofile.d/. For instance, the .Rprofile.d/repos.R file can be solely dedicated to setting in the repos option, which specifies from which web servers R packages are installed from.

Continue reading

Start Me Up

The startup package makes it easy to control your R startup processes and to share part of your startup settings with others (e.g. as a public Git repository) while keeping secret parts to yourself. Instead of having long and windy .Renviron and .Rprofile startup files, you can split them up into short specific files under corresponding .Renviron.d/ and .Rprofile.d/ directories. For example, # Environment variables # (one name=value per line) .

Continue reading

The below code shows how to configure the help.ports option in R such that the built-in R help server always uses the same URL port. Just add it to the .Rprofile file in your home directory (iff missing, create it). For more details, see help("Startup"). # Force the URL of the help to http://127.0.0.1:21510 options(help.ports = 21510) A slighter fancier version is to use a environment variable to set the port(s):

Continue reading

The below code shows how to configure the repos option in R such that install.packages() etc. will locate the packages without having to explicitly specify the repository. Just add it to the .Rprofile file in your home directory (iff missing, create it). For more details, see help("Startup"). local({ repos <- getOption("repos") # http://cran.r-project.org/ # For a list of CRAN mirrors, see getCRANmirrors(). repos["CRAN"] <- "http://cran.stat.ucla.edu" # http://www.stats.ox.ac.uk/pub/RWin/ReadMe if (.Platform$OS.type == "windows") { repos["CRANextra"] <- "http://www.

Continue reading

Author's picture

Henrik Bengtsson

MSc CS | PhD Math Stat | Associate Professor | R Foundation | R Consortium

Associate Professor