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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8" /> | |
<meta name="generator" content="pandoc" /> | |
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" /> | |
<meta name="author" content="Your Name Here" /> | |
<meta name="date" content="2024-09-08" /> | |
<title>RPI github and Mars 2020 PIXL Example Notebook:</title> | |
<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to | |
// be compatible with the behavior of Pandoc < 2.8). | |
document.addEventListener('DOMContentLoaded', function(e) { | |
var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); | |
var i, h, a; | |
for (i = 0; i < hs.length; i++) { | |
h = hs[i]; | |
if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 | |
a = h.attributes; | |
while (a.length > 0) h.removeAttribute(a[0].name); | |
} | |
}); | |
</script> | |
<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */ | |
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) 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"border-bottom: " + columnNavigationWidthPX + "px solid transparent;" + | |
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"cursor: pointer;" + | |
"vertical-align: middle;" + | |
"min-width: " + columnNavigationWidthPX + "px;" + | |
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columns.incColumnNumber(backwards ? -1 : increment); | |
me.animateColumns(backwards); | |
renderFooter(); | |
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triggerOnChange(); | |
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tbody.style.transition = "transform 200ms linear, opacity 200ms"; | |
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window.getComputedStyle(header).opacity; | |
window.getComputedStyle(tbody).opacity; | |
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headerOld.style.transform = backwards ? "translateX(20px)" : "translateX(-30px)"; | |
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htmlCell.setAttribute("align", columnData.align); | |
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page.setPageNumber(parseInt(this.getAttribute("data-page-index"))); | |
renderBody(); | |
renderFooter(); | |
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footer = clearFooter(); | |
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page.setPageNumber(page.number + 1); | |
renderBody(); | |
renderFooter(); | |
triggerOnChange(); | |
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measuresTable.style.whiteSpace = "nowrap"; | |
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renderMeasures(); | |
measurer.calculate(measuresCell); | |
columns.calculateWidths(measurer.measures); | |
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table.setAttribute("cellspacing", "0"); | |
table.setAttribute("class", "table table-condensed"); | |
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table.appendChild(document.createElement("thead")); | |
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measurer.calculate(measuresCell); | |
columns.calculateWidths(measurer.measures); | |
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parsePadding(tableDivStyle.paddingRight); | |
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columns.setVisibleColumns(columnNumber, visibleColumns, paddingCount); | |
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break; | |
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columnHistory.push({ | |
columnNumber: columnNumber, | |
visibleColumns: visibleColumns, | |
paddingCount: paddingCount | |
}); | |
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console.error("More than 100 tries to fit columns, aborting"); | |
break; | |
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if (columns.max !== null && | |
columns.visible + columns.getPaddingCount() >= columns.max) { | |
break; | |
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// if we run out of right-columns | |
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backwards = true; | |
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break; | |
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paddingCount = paddingCount + 1; | |
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// if we run out of left-columns | |
if (backwards && columnNumber == 0) { | |
// if we started adding left-columns, try adding right-columns | |
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backwards = false; | |
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else if (columns.min === null || visibleColumns + columns.getPaddingCount() >= columns.min) { | |
break; | |
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else { | |
paddingCount = paddingCount + 1; | |
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// when moving backwards try fitting left columns first | |
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columnNumber = columnNumber - 1; | |
} | |
if (columnNumber + visibleColumns < columns.total) { | |
visibleColumns = visibleColumns + 1; | |
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} | |
var lastRenderableColumn = { | |
columnNumber: columnNumber, | |
visibleColumns: visibleColumns, | |
paddingCount: paddingCount | |
}; | |
if (columnHistory.length > 0) { | |
lastRenderableColumn = columnHistory[columnHistory.length - 1]; | |
} | |
columns.setVisibleColumns( | |
lastRenderableColumn.columnNumber, | |
lastRenderableColumn.visibleColumns, | |
lastRenderableColumn.paddingCount); | |
if (pagedTable.offsetWidth > 0) { | |
page.setVisiblePages(Math.max(Math.ceil(1.0 * (pagedTable.offsetWidth - 250) / 40), 2)); | |
} | |
registerWidths(); | |
}; | |
me.fit = function(startBackwards) { | |
me.fitRows(); | |
me.fitColumns(startBackwards); | |
} | |
me.render = function() { | |
me.fitColumns(false); | |
// render header/footer to measure height accurately | |
renderHeader(); | |
renderFooter(); | |
me.fitRows(); | |
renderBody(); | |
// re-render footer to match new rows | |
renderFooter(); | |
} | |
var resizeLastWidth = -1; | |
var resizeLastHeight = -1; | |
var resizeNewWidth = -1; | |
var resizeNewHeight = -1; | |
var resizePending = false; | |
me.resize = function(newWidth, newHeight) { | |
function resizeDelayed() { | |
resizePending = false; | |
if ( | |
(resizeNewWidth !== resizeLastWidth) || | |
(!me.fixedHeight() && resizeNewHeight !== resizeLastHeight) | |
) { | |
resizeLastWidth = resizeNewWidth; | |
resizeLastHeight = resizeNewHeight; | |
setTimeout(resizeDelayed, 200); | |
resizePending = true; | |
} else { | |
me.render(); | |
triggerOnChange(); | |
resizeLastWidth = -1; | |
resizeLastHeight = -1; | |
} | |
} | |
resizeNewWidth = newWidth; | |
resizeNewHeight = newHeight; | |
if (!resizePending) resizeDelayed(); | |
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}; | |
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(function (PagedTableDoc) { | |
var allPagedTables = []; | |
PagedTableDoc.initAll = function() { | |
allPagedTables = []; | |
var pagedTables = [].slice.call(document.querySelectorAll('[data-pagedtable="false"],[data-pagedtable=""]')); | |
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pagedTable.setAttribute("pagedtable-page", 0); | |
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pagedTableInstance.init(); | |
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allPagedTables.forEach(function(pagedTable) { | |
pagedTable.render(); | |
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window.addEventListener("resize", PagedTableDoc.resizeAll); | |
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})(PagedTableDoc || (PagedTableDoc = {})); | |
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PagedTableDoc.initAll(); | |
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<!-- code folding --> | |
</head> | |
<body> | |
<div class="container-fluid main-container"> | |
<div id="header"> | |
<h1 class="title toc-ignore">RPI github and Mars 2020 PIXL Example | |
Notebook:</h1> | |
<h3 class="subtitle">DAR Assignment 1 (Fall 2024)</h3> | |
<h4 class="author">Your Name Here</h4> | |
<h4 class="date">08 September 2024</h4> | |
</div> | |
<div id="TOC"> | |
<ul> | |
<li><a href="#introductory-data-analytics-research-notebook" id="toc-introductory-data-analytics-research-notebook"><span class="toc-section-number">1</span> Introductory Data Analytics Research | |
Notebook</a> | |
<ul> | |
<li><a href="#before-you-begin-github-account-setup" id="toc-before-you-begin-github-account-setup"><span class="toc-section-number">1.1</span> BEFORE YOU BEGIN: github account | |
setup</a></li> | |
</ul></li> | |
<li><a href="#dar-assignment-1-part-1-cloning-a-notebook-and-updating-the-repository" id="toc-dar-assignment-1-part-1-cloning-a-notebook-and-updating-the-repository"><span class="toc-section-number">2</span> DAR ASSIGNMENT 1 (Part 1): CLONING A | |
NOTEBOOK AND UPDATING THE REPOSITORY</a> | |
<ul> | |
<li><a href="#cloning-an-rpi-github-repository" id="toc-cloning-an-rpi-github-repository"><span class="toc-section-number">2.0.1</span> Cloning an RPI github | |
repository</a></li> | |
<li><a href="#required-for-assignment-1" id="toc-required-for-assignment-1"><span class="toc-section-number">2.1</span> REQUIRED FOR ASSIGNMENT 1</a></li> | |
</ul></li> | |
<li><a href="#dar-assignment-1-part-2-exploring-the-mars-2020-m20-pixl-dataset" id="toc-dar-assignment-1-part-2-exploring-the-mars-2020-m20-pixl-dataset"><span class="toc-section-number">3</span> DAR ASSIGNMENT 1 (Part 2): Exploring | |
the Mars 2020 (M20) PIXL Dataset</a> | |
<ul> | |
<li><a href="#load-the-pixl-data-and-display-summary" id="toc-load-the-pixl-data-and-display-summary"><span class="toc-section-number">3.1</span> Load the PIXL Data and display | |
summary</a></li> | |
</ul></li> | |
<li><a href="#clustering" id="toc-clustering"><span class="toc-section-number">4</span> Clustering</a> | |
<ul> | |
<li><a href="#k-means-clustering" id="toc-k-means-clustering"><span class="toc-section-number">4.1</span> k-means Clustering</a></li> | |
<li><a href="#examine-cluster-means" id="toc-examine-cluster-means"><span class="toc-section-number">4.2</span> Examine cluster means</a></li> | |
<li><a href="#perform-pca-on-pixl-data" id="toc-perform-pca-on-pixl-data"><span class="toc-section-number">4.3</span> Perform PCA on PIXL Data</a></li> | |
<li><a href="#create-a-pca-biplot-using-ggbiplot" id="toc-create-a-pca-biplot-using-ggbiplot"><span class="toc-section-number">4.4</span> Create a PCA Biplot using | |
ggbiplot</a></li> | |
<li><a href="#answer-these-questions" id="toc-answer-these-questions"><span class="toc-section-number">4.5</span> ANSWER THESE QUESTIONS!</a></li> | |
<li><a href="#save-commit-and-push-your-changes" id="toc-save-commit-and-push-your-changes"><span class="toc-section-number">4.6</span> SAVE, COMMIT and PUSH YOUR | |
CHANGES!</a></li> | |
</ul></li> | |
<li><a href="#appendix-accessing-rstudio-server-on-the-idea-cluster" id="toc-appendix-accessing-rstudio-server-on-the-idea-cluster"><span class="toc-section-number">5</span> APPENDIX: Accessing RStudio Server | |
on the IDEA Cluster</a></li> | |
<li><a href="#more-info-about-rstudio-on-our-cluster" id="toc-more-info-about-rstudio-on-our-cluster"><span class="toc-section-number">6</span> More info about Rstudio on our | |
Cluster</a> | |
<ul> | |
<li><a href="#rstudio-gui-access" id="toc-rstudio-gui-access"><span class="toc-section-number">6.1</span> RStudio GUI Access:</a></li> | |
<li><a href="#shared-data-on-cluster" id="toc-shared-data-on-cluster"><span class="toc-section-number">6.2</span> Shared Data on Cluster:</a></li> | |
</ul></li> | |
</ul> | |
</div> | |
<div id="introductory-data-analytics-research-notebook" class="section level1" number="1"> | |
<h1><span class="header-section-number">1</span> Introductory Data | |
Analytics Research Notebook</h1> | |
<p>This notebook is broken into two main parts:</p> | |
<ul> | |
<li>Part 1: A basic introduction to github and RStudio Server</li> | |
<li>Part 2: An introduction to the Mars 2020 PIXL dataset</li> | |
</ul> | |
<p>The RPI github repository for all the code and data required for this | |
notebook may be found at:</p> | |
<ul> | |
<li><a href="https://github.rpi.edu/DataINCITE/DAR-Mars-F24" class="uri">https://github.rpi.edu/DataINCITE/DAR-Mars-F24</a></li> | |
</ul> | |
<div id="before-you-begin-github-account-setup" class="section level2" number="1.1"> | |
<h2><span class="header-section-number">1.1</span> BEFORE YOU BEGIN: | |
github account setup</h2> | |
<p>To contribute to any RPI github repository or read private repos you | |
<em>must</em> validate your RPI github.com ID and send a confirmation | |
email to John Erickson at <code>erickj4@rpi.edu</code>. Please do the | |
following <strong>now</strong>:</p> | |
<p><strong>Enabling 2FA on the RPI github and saving personal access | |
tokens, et.al.</strong></p> | |
<ul> | |
<li>Browse to <a href="http://github.rpi.edu" class="uri">http://github.rpi.edu</a></li> | |
<li>Login using your RPI credentials</li> | |
<li>Enable github two-factor authentication (2FA)</li> | |
<li>Under “Settings” -> “Password and authentication”</li> | |
<li>Select “Authenticator app” (Duo or Google authenticator are | |
recommended) | |
<ul> | |
<li>Follow steps to set up authenticator app; may involve scanning a QR | |
Code)</li> | |
<li>See directions for 2FA at <a href="https://itssc.rpi.edu/hc/en-us/articles/360004801811-GitHub-Enterprise-Overview#2fa" class="uri">https://itssc.rpi.edu/hc/en-us/articles/360004801811-GitHub-Enterprise-Overview#2fa</a></li> | |
<li><strong>CRITICAL:</strong> Make sure to save your <strong>recovery | |
codes</strong> in a safe place! Recovery codes can be used to access | |
your account in the event you lose access to your device and cannot | |
receive two-factor authentication codes.</li> | |
</ul></li> | |
<li>Create and save a <em>personal access token</em> | |
<ul> | |
<li>Under “Settings” -> “Developer settings”</li> | |
<li>Select “Personal access tokens”</li> | |
<li>Click on “Generate new token (classic)”</li> | |
<li>Set an expiration period for the end of the Fall 2024 term</li> | |
<li>Enable everything (check the left-most boxes)</li> | |
<li>Generate (green button)</li> | |
<li>SAVE THE RESULT! You won’t be able to see it again…</li> | |
</ul></li> | |
<li><em>Use this token when command-line git asks you for a | |
password</em></li> | |
<li><strong>PLEASE DO THIS IMMEDIATELY BEFORE READING ANY | |
FURTHER!!</strong></li> | |
</ul> | |
</div> | |
</div> | |
<div id="dar-assignment-1-part-1-cloning-a-notebook-and-updating-the-repository" class="section level1" number="2"> | |
<h1><span class="header-section-number">2</span> DAR ASSIGNMENT 1 (Part | |
1): CLONING A NOTEBOOK AND UPDATING THE REPOSITORY</h1> | |
<p>In this assignment we’re asking you to</p> | |
<ul> | |
<li>clone the <code>DAR-Mars-F24</code> github repository,</li> | |
<li>create a personal branch using git,</li> | |
<li>create a new notebook that includes your answers to questions in | |
this notebook,</li> | |
<li>make additions to the repository by adding your notebook to the | |
repository.</li> | |
</ul> | |
<p><em>The instructions which follow explain how to accomplish | |
this.</em></p> | |
<p><strong>For DAR Fall 2024</strong> you <em>must</em> be using RStudio | |
Server on the IDEA Cluster. Instructions for accessing “The Cluster” | |
appear at the end of this notebook. Don’t forget to validate your RPI | |
github ID as above and email <code>erickj4@rpi.edu</code></p> | |
<div id="cloning-an-rpi-github-repository" class="section level3" number="2.0.1"> | |
<h3><span class="header-section-number">2.0.1</span> Cloning an RPI | |
github repository</h3> | |
<p>The recommended procedure for cloning and using this repository is as | |
follows:</p> | |
<ul> | |
<li>Access the RPI network via VPN | |
<ul> | |
<li>See <a href="https://itssc.rpi.edu/hc/en-us/articles/360008783172-VPN-Connection-and-Installation" class="uri">https://itssc.rpi.edu/hc/en-us/articles/360008783172-VPN-Connection-and-Installation</a> | |
for information</li> | |
</ul></li> | |
<li>Access RStudio Server on the IDEA Cluster at <a href="http://lp01.idea.rpi.edu/rstudio-ose/" class="uri">http://lp01.idea.rpi.edu/rstudio-ose/</a> | |
<ul> | |
<li>You must be on the RPI VPN!!</li> | |
</ul></li> | |
<li>Access the Linux shell on the IDEA Cluster by clicking the | |
<strong>Terminal</strong> tab of RStudio Server (lower left panel). | |
<ul> | |
<li>You now see the Linux shell on the IDEA Cluster</li> | |
<li><code>cd</code> (change directory) to enter your home directory | |
using: <code>cd ~</code></li> | |
<li>Type <code>pwd</code> to confirm</li> | |
<li>NOTE: Advanced users may use <code>ssh</code> to directly access the | |
Linux shell from a macOS or Linux command line</li> | |
</ul></li> | |
<li>Type | |
<code>git clone https://github.rpi.edu/DataINCITE/DAR-Mars-F24</code> | |
from within your <code>home</code> directory | |
<ul> | |
<li>Enter your RCS ID and your saved personal access token when | |
asked</li> | |
<li>This will create a new directory <code>DAR-Mars-F24</code></li> | |
</ul></li> | |
<li>In the Linux shell, <code>cd</code> to | |
<code>DAR-Mars-F24/StudentNotebooks/Assignment01</code> | |
<ul> | |
<li>Type <code>ls -al</code> to list the current contents</li> | |
<li>Don’t be surprised if you see many files!</li> | |
</ul></li> | |
<li>In the Linux shell, type <code>git checkout -b dar-yourrcs</code> | |
where <code>yourrcs</code> is your RCS id | |
<ul> | |
<li>For example, if your RCS is <code>erickj4</code>, your new branch | |
should be <code>dar-erickj4</code></li> | |
<li>It is <em>critical</em> that you include your RCS id in your branch | |
id!</li> | |
</ul></li> | |
<li>Back in the RStudio Server UI, navigate to the | |
<code>DAR-Mars-F24/StudentNotebooks/Assignment01</code> directory via | |
the <strong>Files</strong> panel (lower right panel) | |
<ul> | |
<li>Under the <strong>More</strong> menu, set this to be your R working | |
directory</li> | |
<li>Setting the correct working directory is essential for interactive R | |
use!</li> | |
</ul></li> | |
</ul> | |
</div> | |
<div id="required-for-assignment-1" class="section level2" number="2.1"> | |
<h2><span class="header-section-number">2.1</span> REQUIRED FOR | |
ASSIGNMENT 1</h2> | |
<ol style="list-style-type: decimal"> | |
<li>In RStudio, make a <strong>copy</strong> of | |
<code>dar-f24-assignment1-template.Rmd</code> file using a <em>new, | |
original, descriptive</em> filename that <strong>includes your RCS | |
ID!</strong> | |
<ul> | |
<li>Open <code>darf24-assignment1-template.Rmd</code></li> | |
<li><strong>Save As…</strong> using a new filename that includes your | |
RCS ID</li> | |
<li>Example filename for user <code>erickj4</code>: | |
<code>erickj4-assignment1-f24.Rmd</code></li> | |
<li>POINTS OFF IF: | |
<ul> | |
<li>You don’t create a new filename!</li> | |
<li>You don’t include your RCS ID!</li> | |
<li>You include <code>template</code> in your new filename!</li> | |
</ul></li> | |
</ul></li> | |
<li>Edit your new notebook using RStudio and save | |
<ul> | |
<li>Change the <code>title:</code> and <code>subtitle:</code> headers | |
(at the top of the file)</li> | |
<li>Change the <code>author:</code></li> | |
<li>Don’t bother changing the <code>date:</code>; it should update | |
automagically…</li> | |
<li><strong>Save</strong> your changes</li> | |
</ul></li> | |
<li>Use the RStudio <code>Knit</code> command to create an HTML file; | |
repeat as necessary | |
<ul> | |
<li>Use the down arrow next to the word <code>Knit</code> and select | |
<strong>Knit to HTML</strong></li> | |
<li>You may also knit to PDF…</li> | |
</ul></li> | |
<li>In the Linux terminal, use <code>git add</code> to add each new file | |
you want to add to the repository | |
<ul> | |
<li>Type: <code>git add yourfilename.Rmd</code></li> | |
<li>Type: <code>git add yourfilename.html</code> (created when you | |
knitted)</li> | |
<li>Add your PDF if you also created one…</li> | |
</ul></li> | |
<li>Continue making changes to your personal notebook | |
<ul> | |
<li>Add code where specified</li> | |
<li>Answer questions were indicated.</li> | |
</ul></li> | |
<li>When you’re ready, in Linux commit your changes: | |
<ul> | |
<li>Type: <code>git commit -m "some comment"</code> where “some comment” | |
is a useful comment describing your changes</li> | |
<li>This commits your changes to your local repo, and sets the stage for | |
your next operation.</li> | |
</ul></li> | |
<li>Finally, push your commits to the RPI github repo | |
<ul> | |
<li>Type: <code>git push origin dar-yourrcs</code> (where | |
<code>dar-yourrcs</code> is the branch you’ve been working in)</li> | |
<li>Enter your RCS ID and personal access token (as a password) when | |
asked.</li> | |
<li>Your changes are now safely on the RPI github.</li> | |
</ul></li> | |
<li><strong>REQUIRED:</strong> On the RPI github, submit a pull request. | |
<ul> | |
<li>In a web browser, navigate to <a href="https://github.rpi.edu/DataINCITE/DAR-Mars-F24.git" class="uri">https://github.rpi.edu/DataINCITE/DAR-Mars-F24.git</a> and | |
log in using 2FA</li> | |
<li>In the branch selector drop-down (by default says | |
<strong>main</strong>), select your branch</li> | |
<li><strong>Submit a pull request for your branch</strong></li> | |
<li>One of the DAR instructors will merge your branch, and your new | |
files will be added to the master branch of the repo.</li> | |
</ul></li> | |
</ol> | |
<p>Please also see these handy github “cheatsheets”:</p> | |
<ul> | |
<li><a href="https://education.github.com/git-cheat-sheet-education.pdf" class="uri">https://education.github.com/git-cheat-sheet-education.pdf</a></li> | |
</ul> | |
</div> | |
</div> | |
<div id="dar-assignment-1-part-2-exploring-the-mars-2020-m20-pixl-dataset" class="section level1" number="3"> | |
<h1><span class="header-section-number">3</span> DAR ASSIGNMENT 1 (Part | |
2): Exploring the Mars 2020 (M20) PIXL Dataset</h1> | |
<p>This part of the notebook demonstrates some basic analysis of data | |
from the M20 PIXL (Planetary Instrument for X-ray Lithochemistry) | |
experiment.</p> | |
<p>PIXL (Planetary Instrument for X-ray Lithochemistry) is a microfocus | |
X-ray fluorescence instrument that measures elemental chemistry at | |
sub-millimeter scales. This is achieved by focusing an X-ray beam to a | |
small spot ~ 150 µm, scanning the surface with this beam, and then | |
measuring the induced X-ray fluorescence. PIXL observations consist of a | |
suite of X-ray fluorescence measurements, context images, and metadata. | |
The XRF measurements can be executed in a variety of geometries | |
depending on target type and available observation time, and are | |
accompanied by a set of images documenting the target and its position | |
relative to the instrument.</p> | |
<p>In this notebook we will be looking at pre-processed PIXL data that | |
is ready for your next steps.</p> | |
<ul> | |
<li>More about the PIXL instrument: <a href="https://an.rsl.wustl.edu/help/Content/About%20the%20mission/M20/Instruments/M20%20PIXL.htm" class="uri">https://an.rsl.wustl.edu/help/Content/About%20the%20mission/M20/Instruments/M20%20PIXL.htm</a></li> | |
<li>Raw PIXL data bundle: <a href="https://pds-geosciences.wustl.edu/m2020/urn-nasa-pds-mars2020_pixl/" class="uri">https://pds-geosciences.wustl.edu/m2020/urn-nasa-pds-mars2020_pixl/</a></li> | |
</ul> | |
<div id="load-the-pixl-data-and-display-summary" class="section level2" number="3.1"> | |
<h2><span class="header-section-number">3.1</span> Load the PIXL Data | |
and display summary</h2> | |
<p>Here is the MARS PIXL data. Take note of the variables, their types, | |
and distriubtions.</p> | |
<pre class="r"><code># Saved LIBS data with locations added | |
# NOTE: Use course directory version during the semester | |
#samples_pixl_wide <- readRDS("/academics/MATP-4910-F24/DAR-Mars-F24/Data/samples_pixl_wide.Rds") | |
samples_pixl_wide <- readRDS("~/DAR-Mars-F24/Data/samples_pixl_wide.Rds") | |
# convert location to a number | |
samples_pixl_wide$location <- as.numeric(samples_pixl_wide$location ) | |
# Automatically converts all strings to factors | |
samples_pixl_wide[sapply(samples_pixl_wide, is.character)] <- | |
lapply(samples_pixl_wide[sapply(samples_pixl_wide, | |
is.character)], as.factor) | |
# Show summary of the data | |
summary(samples_pixl_wide)</code></pre> | |
<pre><code>## sample Na20 Mgo Al203 | |
## Min. : 1.00 Min. :1.000 Min. : 0.730 Min. : 1.700 | |
## 1st Qu.: 4.75 1st Qu.:1.853 1st Qu.: 2.533 1st Qu.: 2.220 | |
## Median : 8.50 Median :1.900 Median :12.800 Median : 3.710 | |
## Mean : 8.50 Mean :2.672 Mean :11.682 Mean : 5.072 | |
## 3rd Qu.:12.25 3rd Qu.:4.500 3rd Qu.:19.100 3rd Qu.: 7.117 | |
## Max. :16.00 Max. :5.550 Max. :22.700 Max. :11.600 | |
## | |
## Si02 P205 S03 Cl | |
## Min. :22.60 Min. :0.1000 Min. : 0.780 Min. :0.400 | |
## 1st Qu.:31.22 1st Qu.:0.2350 1st Qu.: 1.495 1st Qu.:0.940 | |
## Median :38.85 Median :0.5250 Median : 2.600 Median :1.740 | |
## Mean :38.55 Mean :0.6512 Mean : 5.562 Mean :1.846 | |
## 3rd Qu.:41.17 3rd Qu.:0.8400 3rd Qu.: 3.800 3rd Qu.:2.080 | |
## Max. :57.10 Max. :2.7600 Max. :21.530 Max. :4.500 | |
## | |
## K20 Cao Ti02 Cr203 | |
## Min. :0.0000 Min. :1.500 Min. :0.2000 Min. :0.000 | |
## 1st Qu.:0.1600 1st Qu.:2.655 1st Qu.:0.5900 1st Qu.:0.025 | |
## Median :0.2000 Median :3.120 Median :0.7000 Median :0.155 | |
## Mean :0.5800 Mean :3.688 Mean :0.8194 Mean :0.355 | |
## 3rd Qu.:0.8275 3rd Qu.:4.310 3rd Qu.:0.9900 3rd Qu.:0.290 | |
## Max. :1.9000 Max. :7.770 Max. :2.4900 Max. :1.900 | |
## | |
## Mno FeO-T name type | |
## Min. :0.1000 Min. :13.24 Atsah : 1 Igneous :8 | |
## 1st Qu.:0.2800 1st Qu.:16.71 Bearwallow: 1 N/A :1 | |
## Median :0.4000 Median :23.86 Coulettes : 1 Sedimentary:7 | |
## Mean :0.3812 Mean :21.45 Hahonih : 1 | |
## 3rd Qu.:0.4900 3rd Qu.:25.70 Hazeltop : 1 | |
## Max. :0.6900 Max. :30.05 Kukaklek : 1 | |
## (Other) :10 | |
## campaign location abrasion | |
## Crater Floor:9 Min. : 1.00 Alfalfa :2 | |
## Delta Front :7 1st Qu.: 4.75 Bellegrade :2 | |
## Median : 8.50 Berry Hollow:2 | |
## Mean : 8.50 Dourbes :2 | |
## 3rd Qu.:12.25 Novarupta :2 | |
## Max. :16.00 Quartier :2 | |
## (Other) :4</code></pre> | |
<pre class="r"><code># Prepare dataset for clustering selecting specific columns of interest | |
pixl_trim.mat <- samples_pixl_wide %>% | |
dplyr::select(c("Na20","Mgo","Al203","Si02", | |
"P205","S03","Cl","K20","Cao","Ti02", | |
"Cr203","Mno","FeO-T")) %>% as.matrix() %>% scale() | |
summary(pixl_trim.mat)</code></pre> | |
<pre><code>## Na20 Mgo Al203 Si02 | |
## Min. :-1.1206 Min. :-1.3765 Min. :-0.8991 Min. :-1.44691 | |
## 1st Qu.:-0.5494 1st Qu.:-1.1500 1st Qu.:-0.7605 1st Qu.:-0.66513 | |
## Median :-0.5176 Median : 0.1404 Median :-0.3631 Median : 0.02732 | |
## Mean : 0.0000 Mean : 0.0000 Mean : 0.0000 Mean : 0.00000 | |
## 3rd Qu.: 1.2245 3rd Qu.: 0.9322 3rd Qu.: 0.5455 3rd Qu.: 0.23751 | |
## Max. : 1.9280 Max. : 1.3847 Max. : 1.7407 Max. : 1.68204 | |
## P205 S03 Cl K20 | |
## Min. :-0.7945 Min. :-0.6389 Min. :-1.11146 Min. :-0.8190 | |
## 1st Qu.:-0.5999 1st Qu.:-0.5433 1st Qu.:-0.69646 1st Qu.:-0.5931 | |
## Median :-0.1820 Median :-0.3957 Median :-0.08165 Median :-0.5366 | |
## Mean : 0.0000 Mean : 0.0000 Mean : 0.00000 Mean : 0.0000 | |
## 3rd Qu.: 0.2720 3rd Qu.:-0.2354 3rd Qu.: 0.17964 3rd Qu.: 0.3495 | |
## Max. : 3.0392 Max. : 2.1333 Max. : 2.03944 Max. : 1.8640 | |
## Cao Ti02 Cr203 Mno | |
## Min. :-1.1256 Min. :-1.1321 Min. :-0.5791 Min. :-1.5772 | |
## 1st Qu.:-0.5313 1st Qu.:-0.4192 1st Qu.:-0.5383 1st Qu.:-0.5678 | |
## Median :-0.2920 Median :-0.2182 Median :-0.3263 Median : 0.1051 | |
## Mean : 0.0000 Mean : 0.0000 Mean : 0.0000 Mean : 0.0000 | |
## 3rd Qu.: 0.3203 3rd Qu.: 0.3119 3rd Qu.:-0.1060 3rd Qu.: 0.6099 | |
## Max. : 2.1006 Max. : 3.0535 Max. : 2.5204 Max. : 1.7314 | |
## FeO-T | |
## Min. :-1.3848 | |
## 1st Qu.:-0.7989 | |
## Median : 0.4077 | |
## Mean : 0.0000 | |
## 3rd Qu.: 0.7173 | |
## Max. : 1.4512</code></pre> | |
</div> | |
</div> | |
<div id="clustering" class="section level1" number="4"> | |
<h1><span class="header-section-number">4</span> Clustering</h1> | |
<p>Our first analysis goal is to cluster the mineralogy data using | |
K-means and pick the appropriate number of clusters.</p> | |
<p>Here we recall the function <code>wssplot</code> we created in | |
MATP-4400 (IDM) to examine cluster sizes in order to perform the “elbow” | |
test. The function takes as its arguments a matrix, the maximum number | |
of clusters and a random seed. It creates clusters for each possible | |
value of k and plots the k-means objective function.</p> | |
<p>NOTE: The basic syntax for creating a user-defined function in R | |
is:</p> | |
<p><code>output <- function(arguments){ do stuff }</code></p> | |
<p>The following plot shows the K-Means objective value for up to eight | |
clusters.</p> | |
<pre class="r"><code># A user-defined function to examine clusters and plot the results | |
wssplot <- function(data, nc=15, seed=10){ | |
wss <- data.frame(cluster=1:nc, quality=c(0)) | |
for (i in 1:nc){ | |
set.seed(seed) | |
wss[i,2] <- kmeans(data, centers=i)$tot.withinss} | |
ggplot(data=wss,aes(x=cluster,y=quality)) + | |
geom_line() + | |
ggtitle("Quality of k-means by Cluster") | |
} | |
# Apply `wssplot()` to our PIXL data | |
wssplot(pixl_trim.mat, nc=8, seed=2) </code></pre> | |
<p><img 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" width="672" /></p> | |
<p>Based on where the “elbow” occurs, it looks like <code>5</code> might | |
be a good <code>k</code> choice for k-means clustering.</p> | |
<div id="k-means-clustering" class="section level2" number="4.1"> | |
<h2><span class="header-section-number">4.1</span> k-means | |
Clustering</h2> | |
<p>We create the final clustering with 5 clusters.</p> | |
<pre class="r"><code># Use our chosen 'k' to perform k-means clustering | |
set.seed(2) | |
k <- 5 | |
km <- kmeans(pixl_trim.mat,k)</code></pre> | |
</div> | |
<div id="examine-cluster-means" class="section level2" number="4.2"> | |
<h2><span class="header-section-number">4.2</span> Examine cluster | |
means</h2> | |
<p>Below is a heat map of the cluster centers with rows and columns | |
clustered.</p> | |
<pre class="r"><code>pheatmap(km$centers,scale="none")</code></pre> | |
<p><img 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width="672" /></p> | |
<p>Notice how the means of the clusters vary.</p> | |
</div> | |
<div id="perform-pca-on-pixl-data" class="section level2" number="4.3"> | |
<h2><span class="header-section-number">4.3</span> Perform PCA on PIXL | |
Data</h2> | |
<p>We’re now ready to perform PCA. Note we have already scaled data so | |
set <code>scale=FALSE</code>.</p> | |
<p>We first show a <a href="https://en.wikipedia.org/wiki/Scree_plot">Scree plot</a> to | |
understand the explained variance by principal component. Note the elbow | |
in the Scree plot should roughly match the one you saw in k-means.</p> | |
<pre class="r"><code># Perform the PCA on the matrix `pixl_trim.mat` we created earlier | |
pixl_trim.mat.pca <- prcomp(pixl_trim.mat, scale=FALSE) | |
# generate the Scree plot | |
ggscreeplot(pixl_trim.mat.pca)</code></pre> | |
<p><img src="data:image/png;base64,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" width="672" /></p> | |
<p>Make a table indicating how many samples are in each cluster with | |
k=3</p> | |
<pre class="r"><code># clusters sizes are in the km object produced by kmeans | |
cluster.df<-data.frame(cluster= 1:5, size=km$size) | |
kable(cluster.df,caption="Samples per cluster")</code></pre> | |
<table> | |
<caption>Samples per cluster</caption> | |
<thead> | |
<tr class="header"> | |
<th align="right">cluster</th> | |
<th align="right">size</th> | |
</tr> | |
</thead> | |
<tbody> | |
<tr class="odd"> | |
<td align="right">1</td> | |
<td align="right">2</td> | |
</tr> | |
<tr class="even"> | |
<td align="right">2</td> | |
<td align="right">3</td> | |
</tr> | |
<tr class="odd"> | |
<td align="right">3</td> | |
<td align="right">3</td> | |
</tr> | |
<tr class="even"> | |
<td align="right">4</td> | |
<td align="right">4</td> | |
</tr> | |
<tr class="odd"> | |
<td align="right">5</td> | |
<td align="right">4</td> | |
</tr> | |
</tbody> | |
</table> | |
</div> | |
<div id="create-a-pca-biplot-using-ggbiplot" class="section level2" number="4.4"> | |
<h2><span class="header-section-number">4.4</span> Create a PCA Biplot | |
using ggbiplot</h2> | |
<p>Now we’ll create a biplot of the data colored by cluster and label by | |
rock type.</p> | |
<pre class="r"><code># For this lab we'll create a PCA biplot the easy way using ggbiplot! | |
ggbiplot::ggbiplot(pixl_trim.mat.pca, | |
labels = samples_pixl_wide$type, | |
groups = as.factor(km$cluster)) + | |
xlim(-2,2) + ylim(-2,2) </code></pre> | |
<p><img 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" width="672" /></p> | |
</div> | |
<div id="answer-these-questions" class="section level2" number="4.5"> | |
<h2><span class="header-section-number">4.5</span> ANSWER THESE | |
QUESTIONS!</h2> | |
<p>Add a description of each cluster here in your own words.</p> | |
<p>Describe Cluster 1: <em>Your description here</em></p> | |
<p>Describe Cluster 2: <em>Your description here</em></p> | |
<p>Describe Cluster 3: <em>Your description here</em></p> | |
<p>Describe Cluster 4: <em>Your description here</em></p> | |
<p>What do the clustering and PCA results tell us about the data | |
detected by the M20 PIXL experiment? <em>Feel free to add graphs or | |
analyses to support your conclusions.</em></p> | |
<pre class="r"><code># Student's code for graphs and analysis here!</code></pre> | |
</div> | |
<div id="save-commit-and-push-your-changes" class="section level2" number="4.6"> | |
<h2><span class="header-section-number">4.6</span> SAVE, COMMIT and PUSH | |
YOUR CHANGES!</h2> | |
<p>When you are satisfied with your edits and your notebook knits | |
successfully, remember to push your changes to the repo using | |
<strong>steps 4-8</strong> in <strong>Section 2.2</strong>, summarized | |
here:</p> | |
<p><strong>In the Linux terminal:</strong></p> | |
<ul> | |
<li><code>git branch</code> | |
<ul> | |
<li>To double-check that you are in your working branch</li> | |
</ul></li> | |
<li><code>git add <your changed files></code> | |
<ul> | |
<li>Your Rmd and knitted PDF</li> | |
</ul></li> | |
<li><code>git commit -m "Some useful comments"</code></li> | |
<li><code>git push origin <your branch name></code></li> | |
</ul> | |
<p><strong>On github:</strong></p> | |
<ul> | |
<li>Log in at <a href="https://github.rpi.edu/DataINCITE/DAR-Mars-F24" class="uri">https://github.rpi.edu/DataINCITE/DAR-Mars-F24</a></li> | |
<li>Select your branch from drop-down (default is | |
<strong>main</strong>)</li> | |
<li>Submit a “pull request” for your branch</li> | |
<li>DO NOT MERGE!!!</li> | |
</ul> | |
</div> | |
</div> | |
<div id="appendix-accessing-rstudio-server-on-the-idea-cluster" class="section level1" number="5"> | |
<h1><span class="header-section-number">5</span> APPENDIX: Accessing | |
RStudio Server on the IDEA Cluster</h1> | |
<p>The IDEA Cluster provides seven compute nodes (4x 48 cores, 3x 80 | |
cores, 1x storage server)</p> | |
<ul> | |
<li>The Cluster requires RCS credentials, enabled via registration in | |
class | |
<ul> | |
<li>email John Erickson for problems <code>erickj4@rpi.edu</code></li> | |
</ul></li> | |
<li>RStudio, Jupyter, MATLAB, GPUs (on two nodes); lots of storage and | |
computes</li> | |
<li>Access via RPI physical network or VPN only</li> | |
</ul> | |
</div> | |
<div id="more-info-about-rstudio-on-our-cluster" class="section level1" number="6"> | |
<h1><span class="header-section-number">6</span> More info about Rstudio | |
on our Cluster</h1> | |
<div id="rstudio-gui-access" class="section level2" number="6.1"> | |
<h2><span class="header-section-number">6.1</span> RStudio GUI | |
Access:</h2> | |
<ul> | |
<li>Use: | |
<ul> | |
<li><a href="http://lp01.idea.rpi.edu/rstudio-ose/" class="uri">http://lp01.idea.rpi.edu/rstudio-ose/</a></li> | |
<li><a href="http://lp01.idea.rpi.edu/rstudio-ose-3/" class="uri">http://lp01.idea.rpi.edu/rstudio-ose-3/</a></li> | |
<li><a href="http://lp01.idea.rpi.edu/rstudio-ose-6/" class="uri">http://lp01.idea.rpi.edu/rstudio-ose-6/</a></li> | |
<li><a href="http://lp01.idea.rpi.edu/rstudio-ose-7/" class="uri">http://lp01.idea.rpi.edu/rstudio-ose-7/</a></li> | |
</ul></li> | |
<li>Linux terminal accessible from within RStudio “Terminal” or via ssh | |
(below)</li> | |
</ul> | |
</div> | |
<div id="shared-data-on-cluster" class="section level2" number="6.2"> | |
<h2><span class="header-section-number">6.2</span> Shared Data on | |
Cluster:</h2> | |
<ul> | |
<li>Users enrolled in DAR have access to | |
<code>/academics/MATP-4910-F24</code> | |
<ul> | |
<li>Usually DAR users will see a symbolic (“soft”) link in their home | |
directories</li> | |
<li>If you do not, type the following in the <strong>Terminal</strong> | |
via RStudio: | |
<code>ln -s /academics/MATP-4910-F23/ MATP-4910-F24</code></li> | |
</ul></li> | |
<li>All idea_users have access to shared storage via <code>/data</code> | |
(“data” in your home directories) | |
<ul> | |
<li>You might wish to use this for data sharing in team projects…</li> | |
<li>…but we recommend using github for shared code development</li> | |
</ul></li> | |
<li>Shell access to nodes: You must access “landing pad” first, then | |
compute node:</li> | |
<li><code>ssh your_rcs@lp01.idea.rpi.edu</code> For example: | |
<code>ssh erickj4@lp01.idea.rpi.edu</code></li> | |
<li>Then, <code>ssh</code> to the desired compute node, e.g.: | |
<code>ssh idea-node-02</code></li> | |
</ul> | |
</div> | |
</div> | |
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