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g TYPE, –gui=TYPE Use TYPE as GUI possible values are ‘X11’ (default) –debugger-args=ARGS Pass ARGS as arguments to the debugger d, –debugger=NAME Run R through debugger NAME –verbose Print more information about progress –interactive Force an interactive session –min-vsize=N Set vector heap minimum to N bytes ‘4M’ = 4 MegaB –min-nsize=N Set min number of fixed size obj’s (“cons cells”) to N –max-ppsize=N Set max size of protect stack to N –no-readline Don’t use readline for command-line editing –vanilla Combine –no-save, –no-restore, –no-site-file, –no-restore-history Don’t restore the R history file –no-restore-data Don’t restore previously saved objects –restore Do restore previously saved objects at startup

–no-init-file Don’t read the user R profile –no-site-file Don’t read the site-wide Rprofile –no-environ Don’t read the site and user environment files –save Do save workspace at the end of the session RHOME Print path to R home directory and exit –encoding=ENC Specify encoding to be used for stdin h, –help Print short help message and exit Specified options, or invoke an R tool via the ‘R CMD’ interface. Start R, a system for statistical computation and graphics, with the To get a list of command-line options, run this command: # R -help R is a command-line utility as discussed above for data analysis.

Once the installation is complete, check its version using the command as shown below. Those using Ubuntu can use the apt-get command as below. Run the command below if you are using an RHEL based OS. Step 1: Installing R Package in Linuxįirst of all, we need to install the R package, which is available in the default repository of RHEL/CentOS and Ubuntu. You need to have your Linux system ready with a user with sudo rights along with access to the internet for getting the required packages. Prerequisitesīefore moving to the R and RStudio installation, we need to make sure of some basic things for the smooth run. RStudio is an Open Source and free-to-use integrated development environment (IDE) for R. R is a programming language that is mostly used for statistical computing, data mining, and graphics.