Difference between revisions of "R"
From Montana Tech High Performance Computing
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===Install R Packages=== | ===Install R Packages=== | ||
Generally, if you need to use R packages that are not available, you can always install it locally in your account. | Generally, if you need to use R packages that are not available, you can always install it locally in your account. | ||
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First start an R session: | First start an R session: | ||
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In addition, you can also install R packages in a different folder other than the default one. For example, to install a package at <code>~/libs/R_libs</code>: | In addition, you can also install R packages in a different folder other than the default one. For example, to install a package at <code>~/libs/R_libs</code>: | ||
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First create the directory: | First create the directory: | ||
:<code style=display:block>mkdir ~/libs/R_libs</code> | :<code style=display:block>mkdir ~/libs/R_libs</code> | ||
Then inside R: | Then inside R: | ||
:<code style=display:block>> install.packages("ggplot2", lib="~/libs/R_libs")</code> | :<code style=display:block>> install.packages("ggplot2", lib="~/libs/R_libs")</code> | ||
| + | ===Submitting R jobs on HPC=== | ||
| + | |||
| + | ===RStudio Server=== | ||
| + | RStudio Server is installed on Copper, which provides an interactive RStudio experience via your web browser. | ||
| + | If you have an account on Copper, you can access it from: http://copper.mtech.edu:8787 | ||
| + | |||
| + | You can only access it on campus or via VPN. | ||
Latest revision as of 09:33, 28 May 2020
The R package for statistical computing and graphics is installed on the system. Version 3.6.1 installed with the gnu8 toolchain. To access it:
-
module load R
Install R Packages
Generally, if you need to use R packages that are not available, you can always install it locally in your account.
First start an R session:
module load R
R
Then you can use the install.packages command inside R to install a package. For example,
> install.packages("ggplot2")
Because you don't have a write permission in the /opt directory, where R is installed, R will throw the following warings:
Warning in install.packages("ggplot2") :
'lib = "/opt/ohpc/pub/libs/gnu8/R/3.6.1/lib64/R/library"' is not writable
Would you like to use a personal library instead? (yes/No/cancel)
Answer yes, R will then ask you to create a library folder in your own directory:
Would you like to create a personal library
‘~/R/x86_64-pc-linux-gnu-library/3.6’
to install packages into? (yes/No/cancel)
Answer yes again, R will start the installation process.
In addition, you can also install R packages in a different folder other than the default one. For example, to install a package at ~/libs/R_libs:
First create the directory:
mkdir ~/libs/R_libs
Then inside R:
> install.packages("ggplot2", lib="~/libs/R_libs")
Submitting R jobs on HPC
RStudio Server
RStudio Server is installed on Copper, which provides an interactive RStudio experience via your web browser. If you have an account on Copper, you can access it from: http://copper.mtech.edu:8787
You can only access it on campus or via VPN.