packages.qmd

---
title: "Adding Additional Packages in R/Python"
---

## Adding Additional Packages in R/Python

The ADRF has an internal package repository, so users can install packages for R and Python themselves.

The repositories that are currently mirrored in the ADRF are [CRAN](https://cran.r-project.org/) for R packages and [PyPi.org](http://pypi.org/) for Python. There is currently no access to packages hosted on Github or other mirrors.

::: callout-note
If you are working in a shared workspace for a project, each user in the project must install the packages, there is no shared package installation for projects.
:::

## R packages

To install R packages, simply type:

`install.packages("packagename")`

![](images/rinstall.png)

and the package will be installed from the repository. You will not have to re-install the package again, and to use the package load it with the `library()` function. For example:

`library(tidyverse)`

All packages will be installed in your user folder.

To install a specific package version you can specify:

`install.packages("remotes")`

`remotes::install_version("tidyverse", "1.3.2")`

::: callout-note
We recommend starting R using Rstudio for best results, instead of double clicking on a R or Rmarkdown script.
:::

## Python packages

Similar to R packages, Python packages may be installed using the Package Installer for Python (pip).

::: callout-note
We recommend installing python packages from the command line. If you start Jupyter lab, and choose the Terminal tab:

![](images/pythoninstall.png){width="445"}

Then install your package using pip, for example, to install the `pandas` package:

![](images/pip.png)

Then you may use the package within your Jupyter notebook as usual.
:::

To install a specific package version type

`pip install pandas==1.2.3`