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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="Tianhao Zhao" /> | |
<meta name="date" content="2024-09-03" /> | |
<title>RPI github and Mars 2020 PIXL-zhaot4 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"); | |
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if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 | |
a = h.attributes; | |
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<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */ | |
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) 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me.animateColumns(backwards); | |
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parsePadding(tableDivStyle.paddingRight); | |
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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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break; | |
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// when moving backwards try fitting left columns first | |
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visibleColumns = visibleColumns + 1; | |
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columnNumber: columnNumber, | |
visibleColumns: visibleColumns, | |
paddingCount: paddingCount | |
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if (columnHistory.length > 0) { | |
lastRenderableColumn = columnHistory[columnHistory.length - 1]; | |
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columns.setVisibleColumns( | |
lastRenderableColumn.columnNumber, | |
lastRenderableColumn.visibleColumns, | |
lastRenderableColumn.paddingCount); | |
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page.setVisiblePages(Math.max(Math.ceil(1.0 * (pagedTable.offsetWidth - 250) / 40), 2)); | |
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registerWidths(); | |
}; | |
me.fit = function(startBackwards) { | |
me.fitRows(); | |
me.fitColumns(startBackwards); | |
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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(); | |
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var resizeLastHeight = -1; | |
var resizeNewWidth = -1; | |
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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; | |
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me.render(); | |
triggerOnChange(); | |
resizeLastWidth = -1; | |
resizeLastHeight = -1; | |
} | |
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resizeNewWidth = newWidth; | |
resizeNewHeight = newHeight; | |
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var allPagedTables = []; | |
PagedTableDoc.initAll = function() { | |
allPagedTables = []; | |
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pagedTableInstance.init(); | |
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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-zhaot4 | |
Notebook:</h1> | |
<h3 class="subtitle">DAR Assignment 1-zhaot4 (Fall 2024)</h3> | |
<h4 class="author">Tianhao Zhao</h4> | |
<h4 class="date">03 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 | |
pixl.df<- readRDS("/academics/MATP-4910-F24/DAR-Mars-F24/Data/samples_pixl_wide.Rds") | |
# Use this version to use downloaded data from github | |
# pixl.df <- readRDS("~/DAR-Mars-F24/Data/samples_pixl_wide.Rds") | |
# convert location to a number | |
pixl.df$location <- as.numeric(pixl.df$location ) | |
# Automatically converts all strings to factors | |
pixl.df[sapply(pixl.df, is.character)] <- | |
lapply(pixl.df[sapply(pixl.df, | |
is.character)], as.factor) | |
# Show summary of the data | |
summary(pixl.df)</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> | |
<p>Create a matrix containing the measurements without any meta data to | |
prepare for clustering. Here we delibrately do not scale the data to get | |
preliminary results.</p> | |
<pre class="r"><code># Prepare dataset for clustering selecting specific columns of interest and putting in a matrix | |
pixl_trim.mat <- pixl.df %>% | |
dplyr::select(c("Na20","Mgo","Al203","Si02", | |
"P205","S03","Cl","K20","Cao","Ti02", | |
"Cr203","Mno","FeO-T")) %>% as.matrix() | |
summary(pixl_trim.mat)</code></pre> | |
<pre><code>## Na20 Mgo Al203 Si02 | |
## Min. :1.000 Min. : 0.730 Min. : 1.700 Min. :22.60 | |
## 1st Qu.:1.853 1st Qu.: 2.533 1st Qu.: 2.220 1st Qu.:31.22 | |
## Median :1.900 Median :12.800 Median : 3.710 Median :38.85 | |
## Mean :2.672 Mean :11.682 Mean : 5.072 Mean :38.55 | |
## 3rd Qu.:4.500 3rd Qu.:19.100 3rd Qu.: 7.117 3rd Qu.:41.17 | |
## Max. :5.550 Max. :22.700 Max. :11.600 Max. :57.10 | |
## P205 S03 Cl K20 | |
## Min. :0.1000 Min. : 0.780 Min. :0.400 Min. :0.0000 | |
## 1st Qu.:0.2350 1st Qu.: 1.495 1st Qu.:0.940 1st Qu.:0.1600 | |
## Median :0.5250 Median : 2.600 Median :1.740 Median :0.2000 | |
## Mean :0.6512 Mean : 5.562 Mean :1.846 Mean :0.5800 | |
## 3rd Qu.:0.8400 3rd Qu.: 3.800 3rd Qu.:2.080 3rd Qu.:0.8275 | |
## Max. :2.7600 Max. :21.530 Max. :4.500 Max. :1.9000 | |
## Cao Ti02 Cr203 Mno | |
## Min. :1.500 Min. :0.2000 Min. :0.000 Min. :0.1000 | |
## 1st Qu.:2.655 1st Qu.:0.5900 1st Qu.:0.025 1st Qu.:0.2800 | |
## Median :3.120 Median :0.7000 Median :0.155 Median :0.4000 | |
## Mean :3.688 Mean :0.8194 Mean :0.355 Mean :0.3812 | |
## 3rd Qu.:4.310 3rd Qu.:0.9900 3rd Qu.:0.290 3rd Qu.:0.4900 | |
## Max. :7.770 Max. :2.4900 Max. :1.900 Max. :0.6900 | |
## FeO-T | |
## Min. :13.24 | |
## 1st Qu.:16.71 | |
## Median :23.86 | |
## Mean :21.45 | |
## 3rd Qu.:25.70 | |
## Max. :30.05</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>d</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 <- 3 | |
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. We keep the scale the same as in the original data.</p> | |
<pre class="r"><code>pheatmap(km$centers,scale="none")</code></pre> | |
<p><img 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" width="672" /></p> | |
<p>Notice how the means of the clusters vary.</p> | |
</div> | |
<div id="perform-pca-on-pixl-data" class="section level2" number="4.3"> | |
<h2><span class="header-section-number">4.3</span> Perform PCA on PIXL | |
Data</h2> | |
<p>We’re now ready to perform PCA. Note we have already scaled data so | |
set <code>scale=FALSE</code>.</p> | |
<p>We first show a <a href="https://en.wikipedia.org/wiki/Scree_plot">Scree plot</a> to | |
understand the explained variance by principal component. Note the elbow | |
in the Scree plot should roughly match the one you saw in k-means.</p> | |
<pre class="r"><code># Perform the PCA on the matrix `pixl_trim.mat` we created earlier | |
pixl_trim.mat.pca <- prcomp(pixl_trim.mat, scale=FALSE) | |
# generate the Scree plot | |
ggscreeplot(pixl_trim.mat.pca)</code></pre> | |
<p><img 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" width="672" /></p> | |
<p>Make a table indicating how many samples are in each cluster.</p> | |
<pre class="r"><code># clusters sizes are in the km object produced by kmeans | |
cluster.df<-data.frame(cluster= 1:3, size=km$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">3</td> | |
</tr> | |
<tr class="even"> | |
<td align="right">2</td> | |
<td align="right">7</td> | |
</tr> | |
<tr class="odd"> | |
<td align="right">3</td> | |
<td align="right">6</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 = pixl.df$type, | |
groups = as.factor(km$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: High in SiO2 (57.1), which is significantly | |
higher than the other clusters. Moderately high in Al2O3 (11.6) and Na2O | |
(4.5). Low in Mgo (0.73), K2O (1.9), CaO (4.31), and other oxides. | |
Minimal presence of TiO2 (0.0), Cr2O3 (0.0), and MnO (0.28). This | |
cluster appears to be characterized by a high silica content, suggesting | |
it could represent a more siliceous material or environment.</p> | |
<p>Describe Cluster 2: Highest in Mgo (17.46) compared to the other | |
clusters. High in SiO2 (29.02) but less than Cluster 1. Moderate in Na2O | |
(1.64), P2O5 (0.31), and CaO (2.70). Higher in FeO-T (24.85) than | |
Cluster 1 but similar to Cluster 3. Contains a more balanced mix of | |
other oxides. This cluster seems to represent a group with a higher | |
magnesium content, indicating more influence from mafic minerals or | |
rocks.</p> | |
<p>Describe Cluster 3: Moderate in SiO2 (40.4) compared to Cluster 1 but | |
higher than Cluster 2. Contains significant amounts of Mgo (10.41) and | |
FeO-T (24.85). Moderate in CaO (4.53) and low in Al2O3 (4.01). Low | |
levels of K2O (0.43), TiO2 (0.2), Cr2O3 (0.19), and MnO (0.55). This | |
cluster is somewhat intermediate, with moderate levels of silica and | |
significant amounts of magnesium and iron.</p> | |
<p>What do the clustering and PCA results tell us about the data | |
detected by the M20 PIXL experiment?</p> | |
<p>The clustering and PCA results from the M20 PIXL experiment data | |
reveal a heterogeneous composition in the Martian surface samples, | |
indicating diverse geological processes and materials. The three | |
distinct clusters point to different rock or soil types, suggesting a | |
complex geological history involving various environmental conditions | |
and processes.</p> | |
<pre class="r"><code>library(ggplot2) | |
library(factoextra)</code></pre> | |
<pre><code>## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBa</code></pre> | |
<pre class="r"><code>library(dplyr) | |
summary(pixl_trim.mat.pca)</code></pre> | |
<pre><code>## Importance of components: | |
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 | |
## Standard deviation 14.3844 8.3432 3.5341 2.92953 0.99019 0.73263 0.56948 | |
## Proportion of Variance 0.6909 0.2324 0.0417 0.02866 0.00327 0.00179 0.00108 | |
## Cumulative Proportion 0.6909 0.9233 0.9650 0.99365 0.99692 0.99871 0.99980 | |
## PC8 PC9 PC10 PC11 PC12 PC13 | |
## Standard deviation 0.2463 3.321e-16 2.088e-16 1.063e-16 2.725e-17 5.841e-18 | |
## Proportion of Variance 0.0002 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 | |
## Cumulative Proportion 1.0000 1.000e+00 1.000e+00 1.000e+00 1.000e+00 1.000e+00</code></pre> | |
<pre class="r"><code>loadings <- pixl_trim.mat.pca$rotation | |
print("PCA Loadings:")</code></pre> | |
<pre><code>## [1] "PCA Loadings:"</code></pre> | |
<pre class="r"><code>print(loadings)</code></pre> | |
<pre><code>## PC1 PC2 PC3 PC4 PC5 | |
## Na20 -0.085732666 -0.009585935 -0.210016066 0.05885825 -0.058776557 | |
## Mgo 0.523189659 0.173100862 0.400285040 -0.52765729 -0.432592844 | |
## Al203 -0.238378673 -0.124808145 -0.187174293 -0.21154582 -0.385553354 | |
## Si02 -0.746871920 0.163706595 0.580704650 -0.07717836 -0.149779784 | |
## P205 -0.025300706 -0.011796285 -0.080753148 0.14236162 -0.064773154 | |
## S03 0.153003358 -0.837250322 0.387713909 0.24026862 -0.101136133 | |
## Cl 0.015873734 0.045054395 -0.300017520 -0.20541061 -0.083627210 | |
## K20 -0.044689822 0.003770841 -0.044932566 -0.06835811 -0.060807333 | |
## Cao -0.069435718 -0.006781946 -0.279743658 0.36359748 -0.753757119 | |
## Ti02 -0.011023477 -0.001226744 -0.037214483 0.16472424 0.081784028 | |
## Cr203 0.018583445 0.022657907 0.029926607 0.02068756 -0.183981013 | |
## Mno 0.001376864 0.018890239 0.003547008 0.01749546 0.005622467 | |
## FeO-T 0.269612776 0.472734795 0.306579229 0.61844313 -0.067001552 | |
## PC6 PC7 PC8 PC9 PC10 PC11 | |
## Na20 -0.29497208 0.40642074 0.511924320 0.10602296 -0.59098472 -0.206300137 | |
## Mgo -0.01224631 0.18512640 -0.055778127 0.09283902 -0.07022903 -0.089320310 | |
## Al203 -0.67210739 -0.18976822 0.090619330 0.17097744 0.36923644 0.180852591 | |
## Si02 0.06297094 0.08162001 -0.047316525 -0.12435594 -0.10074147 -0.009935922 | |
## P205 -0.30209840 0.21718617 -0.505603909 -0.19102987 0.09664841 -0.702473673 | |
## S03 -0.09873376 0.01402215 0.005069915 -0.16051898 -0.09366188 0.091518864 | |
## Cl -0.06915211 -0.07181340 -0.194739516 -0.74203554 -0.21868195 0.264716844 | |
## K20 -0.12607702 0.01081546 -0.400547659 0.17157080 -0.50209268 0.377182134 | |
## Cao 0.43439743 0.13447585 -0.032873445 0.03805330 0.05061491 0.049016011 | |
## Ti02 -0.06870699 -0.01683905 -0.492884107 0.49648641 -0.16535134 0.111179088 | |
## Cr203 0.04065672 -0.82178073 0.102290439 0.05668790 -0.33574487 -0.368753398 | |
## Mno 0.03640236 0.08696653 0.098410265 0.11599393 0.19596819 0.084039926 | |
## FeO-T -0.37290577 -0.06310269 0.078646878 -0.16886504 0.01603580 0.211339259 | |
## PC12 PC13 | |
## Na20 -0.154992428 0.013900526 | |
## Mgo -0.105666999 -0.017146185 | |
## Al203 0.001930191 -0.070206077 | |
## Si02 -0.105635932 0.006097291 | |
## P205 0.125476270 0.138281547 | |
## S03 -0.058886746 0.031134335 | |
## Cl -0.371668655 0.063299220 | |
## K20 0.578244676 0.230177369 | |
## Cao 0.023215154 -0.041307058 | |
## Ti02 -0.642862669 -0.131367367 | |
## Cr203 -0.045746094 0.150063008 | |
## Mno -0.214223342 0.935898295 | |
## FeO-T 0.011705517 -0.008887373</code></pre> | |
<pre class="r"><code>data <- as.factor(km$cluster) | |
fviz_pca_biplot(pixl_trim.mat.pca, | |
geom.ind = "point", | |
col.ind = data, # Color by clusters | |
palette = "jco", | |
addEllipses = FALSE, | |
label = "var", | |
title = "PCA Biplot of Martian Geochemical Data")</code></pre> | |
<p><img src="data:image/png;base64,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width="672" /></p> | |
</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> | |
</div> | |
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