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packages.html

@@ -229,15 +229,30 @@ <h1 class="title"><span class="chapter-number">10</span>&nbsp; <span class="chap
 <h2 class="anchored" data-anchor-id="adding-additional-packages-in-rpython">Adding Additional Packages in R/Python</h2>
 <p>The ADRF has an internal package repository, so users can install packages for R and Python themselves.</p>
 <p>The repositories that are currently mirrored in the ADRF are <a href="https://cran.r-project.org/">CRAN</a> for R packages and <a href="http://pypi.org/">PyPi.org</a> for Python. There is currently no access to packages hosted on Github or other mirrors.</p>
+<div class="callout callout-style-default callout-note callout-titled">
+<div class="callout-header d-flex align-content-center">
+<div class="callout-icon-container">
+<i class="callout-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Note
+</div>
+</div>
+<div class="callout-body-container callout-body">
+<p>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.</p>
+</div>
+</div>
 </section>
 <section id="r-packages" class="level2">
 <h2 class="anchored" data-anchor-id="r-packages">R packages</h2>
 <p>To install R packages, simply type:</p>
 <p><code>install.packages("packagename")</code></p>
 <p><img src="images/rinstall.png" class="img-fluid"></p>
 <p>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 <code>library()</code> function. For example:</p>
-<p><code>library(tidyverse</code>)</p>
+<p><code>library(tidyverse)</code></p>
 <p>All packages will be installed in your user folder.</p>
+<p>To install a specific package version you can specify:</p>
+<p><code>install.packages("remotes")</code> <code>remotes::install_version("tidyverse", "1.3.2")</code></p>
 <div class="callout callout-style-default callout-note callout-titled">
 <div class="callout-header d-flex align-content-center">
 <div class="callout-icon-container">
@@ -272,6 +287,8 @@ <h2 class="anchored" data-anchor-id="python-packages">Python packages</h2>
 <p>Then you may use the package within your Jupyter notebook as usual.</p>
 </div>
 </div>
+<p>To install a specific package version type</p>
+<p><code>pip install pandas==1.2.3</code></p>
 
 
 </section>

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     "title": "10  Adding Additional Packages in R/Python",
     "section": "Adding Additional Packages in R/Python",
-    "text": "Adding Additional Packages in R/Python\nThe ADRF has an internal package repository, so users can install packages for R and Python themselves.\nThe repositories that are currently mirrored in the ADRF are CRAN for R packages and PyPi.org for Python. There is currently no access to packages hosted on Github or other mirrors."
+    "text": "Adding Additional Packages in R/Python\nThe ADRF has an internal package repository, so users can install packages for R and Python themselves.\nThe repositories that are currently mirrored in the ADRF are CRAN for R packages and PyPi.org for Python. There is currently no access to packages hosted on Github or other mirrors.\n\n\n\n\n\n\nNote\n\n\n\nIf 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."
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     "section": "R packages",
-    "text": "R packages\nTo install R packages, simply type:\ninstall.packages(\"packagename\")\n\nand 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:\nlibrary(tidyverse)\nAll packages will be installed in your user folder.\n\n\n\n\n\n\nNote\n\n\n\nWe recommend starting R using Rstudio for best results, instead of double clicking on a R or Rmarkdown script."
+    "text": "R packages\nTo install R packages, simply type:\ninstall.packages(\"packagename\")\n\nand 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:\nlibrary(tidyverse)\nAll packages will be installed in your user folder.\nTo install a specific package version you can specify:\ninstall.packages(\"remotes\") remotes::install_version(\"tidyverse\", \"1.3.2\")\n\n\n\n\n\n\nNote\n\n\n\nWe recommend starting R using Rstudio for best results, instead of double clicking on a R or Rmarkdown script."
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     "href": "packages.html#python-packages",
     "title": "10  Adding Additional Packages in R/Python",
     "section": "Python packages",
-    "text": "Python packages\nSimilar to R packages, Python packages may be installed using the Package Installer for Python (pip).\n\n\n\n\n\n\nNote\n\n\n\nWe recommend installing python packages from the command line. If you start Jupyter lab, and choose the Terminal tab:\n\nThen install your package using pip, for example, to install the pandas package:\n\nThen you may use the package within your Jupyter notebook as usual."
+    "text": "Python packages\nSimilar to R packages, Python packages may be installed using the Package Installer for Python (pip).\n\n\n\n\n\n\nNote\n\n\n\nWe recommend installing python packages from the command line. If you start Jupyter lab, and choose the Terminal tab:\n\nThen install your package using pip, for example, to install the pandas package:\n\nThen you may use the package within your Jupyter notebook as usual.\n\n\nTo install a specific package version type\npip install pandas==1.2.3"
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