James: Created page with "In order to use R on Penzias, Appel, Andy or Karle please load the corresponding module:

    module load r

Complete R documentation may be found at http://www.r-project.org/ ====Running R on Karle ==== The following is the "Hello World" program written in R:

 # Hello World example a <- c("Hello, world!") print(a)

To run R job on Karle server, save your R script into the file (for example "hello.R") and use the following command to launch it:..."

2022-10-20T19:00:07Z

Created page with "In order to use R on Penzias, Appel, Andy or Karle please load the corresponding module: <pre> module load r </pre> Complete R documentation may be found at http://www.r-project.org/ ====Running R on Karle ==== The following is the "Hello World" program written in R: <pre> # Hello World example a <- c("Hello, world!") print(a) </pre> To run R job on Karle server, save your R script into the file (for example "hello.R") and use the following command to launch it:..."

New page

In order to use R on Penzias, Appel, Andy or Karle please load the corresponding module:

<pre>
module load r
</pre>

Complete R documentation may be found at http://www.r-project.org/

====Running R on Karle ====
The following is the "Hello World" program written in R:
<pre>
# Hello World example
a <- c("Hello, world!")
print(a)
</pre>

To run R job on Karle server, save your R script into the file (for example "hello.R") and use the following command to launch it:
<pre>
R --vanilla --slave < helloworld.R
</pre>
Note that you need to load R module first (see [[Applications_Environment#General_Notes_2| previous section]]).

====Running R on cluster machines ====

<div class="toccolours mw-collapsible mw-collapsed">
In order to run R job on any of HPCC's cluster machines (Penzias, Appel or Andy) users should use SLURM manager. Submitting serial R job to the SLURM queue is exactly the same as [[#Submitting_Serial_.28Scalar.29_Jobs | submitting any other serial job]].
<div class="mw-collapsible-content">
More information about our installation can be found here [[R on Cluster Machines]]
</div>
</div>

====R packages====
In order to install R package start R and run the following command:
<pre>
install.packages("package.name")
</pre>
You will be prompted to install package into home directory. Agree and pick a '''non-https''' mirror from the list. Then, pick a mirror from new list. After package is installed use it starting with
<pre>
library(package.name)
</pre>

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