Difference between revisions of "R 2016"
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==== Additional installed packages ==== | ==== Additional installed packages ==== | ||
The R release contains a lot of additional packages, you can generate a list of all of them by using the following commands | The R release contains a lot of additional packages. After loading and starting R ("module load R" and simply "R" on the command line), you can generate a list of all of them by using the following commands | ||
ip <- as.data.frame(installed.packages()[,c(1,3:4)]) | ip <- as.data.frame(installed.packages()[,c(1,3:4)]) | ||
rownames(ip) <- NULL | rownames(ip) <- NULL |
Revision as of 08:50, 27 March 2017
Introduction
R is a free software environment for statistical computing and graphics
Using R on the HPC cluster
If you want to use R on the HPC cluster, you will have to load its module. You can do that by using the command
module load R
Since there is only one version of R installed, you dont need to specify a version. If you use the command
module spider R
you will find more informations about the module.
Installed version
The currently installed version of R is 3.3.1.
Additional installed packages
The R release contains a lot of additional packages. After loading and starting R ("module load R" and simply "R" on the command line), you can generate a list of all of them by using the following commands
ip <- as.data.frame(installed.packages()[,c(1,3:4)]) rownames(ip) <- NULL ip <- ip[is.na(ip$Priority),1:2,drop=FALSE] print(ip, row.names=FALSE)
You will receive a list of every package and its related version. It should look like this:
Package Version abc 2.1 abc.data 1.0 abind 1.4-3 acepack 1.3-3.3 adabag 4.1
Documentation
You can look up anything about R on their