From 216ffe157020b5bd70607a2bae225ccf1213b7b0 Mon Sep 17 00:00:00 2001
From: Emelie Harstad <eharstad@unl.edu>
Date: Fri, 1 Apr 2022 21:31:37 +0000
Subject: [PATCH] updated R package installation guide
---
content/applications/user_software/r_packages.md | 2 ++
1 file changed, 2 insertions(+)
diff --git a/content/applications/user_software/r_packages.md b/content/applications/user_software/r_packages.md
index 56e0623f..275dbdb4 100644
--- a/content/applications/user_software/r_packages.md
+++ b/content/applications/user_software/r_packages.md
@@ -3,6 +3,8 @@ title = "Using R Libraries"
description = "How to install R packages on HCC resources."
+++
+{{% panel theme="danger" header="**R Package Installation Best Practices**" %}}The preferred way to install R packages is using the [Anaconda Package Manager]({{< relref "using_anaconda_package_manager" >}}), which allows users to create custom software environments. Unlike the R installer, Anaconda automatically resolves even external compatibility/dependency issues, and is therefore a better choice for many applications. The instructions are provided here as a reference and for use when a particular R package is not available via conda. In those cases, we recommend using conda first to install any needed external dependencies or other R packages, then install the desired package within R.{{% /panel %}}
+
Many commonly used R packages are included in the base R installation available on HCC clusters,
such as `tidyverse` and `stringr`. However, users are able to install other packages in their
user libraries.
--
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