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<!DOCTYPE html>
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<title>Resources</title>
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<a class="navbar-brand" href="index.html">Intro to R</a>
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<ul class="nav navbar-nav">
<li>
<a href="syllabus.html">Syllabus</a>
</li>
<li>
<a href="materials_schedule.html">Materials + Schedule</a>
</li>
<li>
<a href="resources.html">Resources</a>
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<div id="header">
<h1 class="title toc-ignore">Resources</h1>
</div>
<p>Here are additional resources to help you on your R journey - either
before, during, or after the class! Click each section to expand.</p>
<p><br></p>
<details open>
<summary>
<span style="color: #5383bb;"> <strong>Help Getting
Started</strong></span>
</summary>
<p><br></p>
<ul>
<li><a href="http://cran.r-project.org/doc/contrib/Short-refcard.pdf">R
reference card</a></li>
<li><a
href="https://cran.r-project.org/doc/manuals/r-release/R-intro.html">R
introductory guide</a></li>
<li><a
href="https://link.springer.com/content/pdf/bbm%3A978-1-4419-1318-0%2F1.pdf">R
jargon</a></li>
<li><a
href="https://cran.r-project.org/doc/manuals/r-release/R-lang.pdf">R
terminology</a></li>
<li><a href="https://www.tidyverse.org/packages/">What is the
Tidyverse/what packages are in it?</a></li>
<li><a
href="https://www.statworx.com/en/content-hub/blog/why-is-it-called-that-way-origin-and-meaning-of-r-package-names/">Where
do package names come from?</a></li>
<li><a href="https://doi.org/10.1371/journal.pcbi.1010372">Lawlor et
al. 2022</a>: Ten simple rules for teaching yourself R</li>
</ul>
</details>
<p><br></p>
<details>
<summary>
<span style="color: #5383bb;"> <strong>Class Cheatsheets</strong></span>
</summary>
<p><br></p>
<ul>
<li><a
href="https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-1.pdf">Day
1 - RStudio & Reproducibility Cheatsheet</a></li>
<li><a
href="https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-2.pdf">Day
2 - Basic R & Data Input/Output Cheatsheet</a></li>
<li><a
href="https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-3.pdf">Day
3 - Data Subsetting Cheatsheet</a></li>
<li><a
href="https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-4.pdf">Day
4 - Data Summarization & Data Classes Cheatsheet</a></li>
<li><a
href="https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-5.pdf">Day
5 - Data Cleaning Cheatsheet</a></li>
<li><a
href="https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-6.pdf">Day
6 - Data Manipulation & Data Visualization <code>esquisse</code>
Cheatsheet</a></li>
<li><a
href="https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-7.pdf">Day
7 - Data Visualization <code>ggplot2</code> & Factors
Cheatsheet</a></li>
<li><a
href="https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-8.pdf">Day
8 - Statistics Cheatsheet</a></li>
<li><a
href="https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-9.pdf">Day
9 - Functions Cheatsheet</a></li>
<li><a href="https://www.rstudio.com/resources/cheatsheets/">Additional
RStudio “Cheatsheets”</a></li>
</ul>
</details>
<p><br></p>
<details>
<summary>
<span style="color: #5383bb;"> <strong>Troubleshooting
Guides</strong></span>
</summary>
<p><br></p>
<ul>
<li><a
href="https://jhudatascience.org/intro_to_r/resources/quotes_vs_backticks.html">Guide
on when to use quotes or backticks</a></li>
<li><a
href="https://jhudatascience.org/intro_to_r/resources/functions_for_vectors.html">Guide
on what functions require pulling values out first</a></li>
</ul>
</details>
<p><br></p>
<details>
<summary>
<span style="color: #5383bb;"> <strong>Keyboard
Shortcuts</strong></span>
</summary>
<p><br></p>
<ul>
<li>RStudio shortcuts can be found <a
href="http://www.rstudio.com/ide/docs/using/keyboard_shortcuts">here</a>.</li>
</ul>
</details>
<p><br></p>
<details open>
<summary>
<span style="color: #5383bb;"> <strong>Extra help</strong></span>
</summary>
<p><br></p>
<p><strong>Need help with data import?</strong></p>
<ul>
<li><a href="https://youtu.be/LEkNfJgpunQ">Video on data import</a></li>
<li><a href="https://www.youtube.com/watch?v=we6vwB7DsNU">Video</a> for
PC users who want to see how to move files around (especially from
downloads)</li>
<li><a href="https://www.youtube.com/watch?v=Ao9e0cDzMrE">Video</a> for
Mac users who want to see how to move files around (especially from
downloads)</li>
<li><a
href="https://docs.google.com/presentation/d/18u1Vhd3Uq-QprC0btpxS_-Ka-LKVUvncyoqdbGdb-g4/edit?usp=sharing">Extra
information about file paths</a></li>
</ul>
<p><strong>Need help with joins?</strong></p>
<ul>
<li><a
href="https://github.com/gadenbuie/tidyexplain/blob/master/images/full-join.gif"><code>full-join()</code>
animation</a></li>
<li><a
href="https://github.com/gadenbuie/tidyexplain/blob/master/images/inner-join.gif"><code>inner_join()</code>
animation</a></li>
<li><a
href="https://github.com/gadenbuie/tidyexplain/blob/master/images/left-join.gif"><code>left-join()</code>
animation</a></li>
<li><a
href="https://github.com/gadenbuie/tidyexplain/blob/master/images/right-join.gif"><code>right-join()</code>
animation</a></li>
</ul>
<p><strong>Need help with plots?</strong></p>
<ul>
<li><a
href="https://r-graph-gallery.com/ggplot2-package.html"><code>ggplot2</code>
gallery</a> - See what is possible with <code>ggplot2</code> to create
graphs in R</li>
<li><a
href="https://github.com/claragranell/ggplot2/blob/main/ggplot_theme_system_cheatsheet.pdf"><code>ggplot2</code>
theme cheatsheet</a></li>
<li><a
href="https://jhudatascience.org/tidyversecourse/dataviz.html#making-good-plots">Visualization
best practices</a></li>
<li><a
href="https://infogram.com/page/choose-the-right-chart-data-visualization">Guide
on when to use which plot</a></li>
<li><a
href="https://hopstat.wordpress.com/2016/02/18/how-i-build-up-a-ggplot2-figure/">Guide
to building up a <code>ggplot2</code> figure</a></li>
</ul>
<p><strong>Need help with stats?</strong></p>
<ul>
<li><a
href="https://www.scribbr.com/statistics/statistical-tests/">Guide on
when to use what stats test</a></li>
<li><a
href="https://jhudatascience.org/tidyversecourse/model.html#linear-modeling">Modeling
101</a></li>
<li><a href="https://lindeloev.github.io/tests-as-linear/">Common
statistical tests are linear models</a> (why understanding linear models
will get you far!)</li>
<li><a
href="https://www.statology.org/null-residual-deviance/">Interpreting
GLM output (e.g., deviance)</a></li>
</ul>
</details>
<p><br></p>
<details>
<summary>
<span style="color: #5383bb;"> <strong>Courses &
Conferences</strong></span>
</summary>
<p><br></p>
<div id="online-courses-and-resources" class="section level4">
<h4><strong>Online Courses and Resources</strong></h4>
<ul>
<li><a href="https://jhudatascience.org/tidyversecourse/">Tidyverse
Skills for Data Science Book</a> (<strong>a great next step</strong> to
learn more about the tidyverse, some modeling, and machine
learning)</li>
<li><a
href="https://www.coursera.org/specializations/tidyverse-data-science-r">Tidyverse
Skills for Data Science Course</a> (same content with quizzes, can get
certificate with $)</li>
<li><a href="https://www.opencasestudies.org/">Open Case
Studies</a><br />
(resource for specific public health cases with statistical
implementation and interpretation - <strong>a great next step</strong>
for learning more about stats and wrangling!)</li>
<li><a href="http://r4ds.had.co.nz/">R for Data Science</a> (great
general information)</li>
<li><a href="https://epirhandbook.com/en/">R for Applied
Epidemiology</a> (Similar general introductory course)<br />
</li>
<li><a href="https://rafalab.github.io/dsbook/r-basics.html">R basics
chapter of Introduction to Data Science by Rafael A. Irizarry</a>(great
general information)</li>
<li><a href="https://www.dataquest.io/">Dataquest</a> (general
interactive resource)</li>
<li><a href="http://statmethods.net/">Quick R Guide</a> (nice free
general resource)</li>
<li><a
href="https://jhudatascience.org/Reproducibility_in_Cancer_Informatics/">Introduction
to Reproducibility</a></li>
<li><a
href="https://jhudatascience.org/Adv_Reproducibility_in_Cancer_Informatics/">Advanced
Reproducibility</a></li>
</ul>
</div>
<div id="classes-at-jhu" class="section level4">
<h4><strong>Classes at JHU</strong></h4>
<ul>
<li><a
href="https://e-catalogue.jhu.edu/course-descriptions/biostatistics/">PH.140.621,
PH.140.622, PH.140.623, PH.140.62 - Statistical Methods in Public Health
I, II, III, and IV</a> - The class is mostly taught in STATA, but you
can also join a group of students working in R. The class covers many
topics in statistical analysis for public health data.</li>
<li><a
href="https://www.jhsph.edu/courses/course/36737/2022/140.778.01/statistical-computing-algorithm-and-software-devel">PH.140.778
- Statistical Computing, Algorithm, and Software Development</a> - A
more advanced course for working with data in R.
<ul>
<li>Content for similar topics as this course can also be found on <a
href="https://leanpub.com/advstatcomp">Leanpub</a>.</li>
</ul></li>
</ul>
</div>
<div id="r-conferences" class="section level4">
<h4><strong>R Conferences</strong></h4>
<ul>
<li>The <a href="https://posit.co/conference/">RStudio/Posit
conference</a> has lots of useful workshops!</li>
<li>useR! — International R User Conference information can be found <a
href="https://www.r-project.org/conferences/">here</a>.</li>
</ul>
</details>
<p><br></p>
<details>
<summary>
<span style="color: #5383bb;"> <strong>R for Stata, SPSS, and SAS
files</strong></span>
</summary>
<p><br></p>
<ul>
<li>The <a href="https://haven.tidyverse.org/">Haven</a> package<br />
(This package is super useful for reading and writing files so that they
are compatible across Stata, SPSS, SAS, and R)</li>
<li><a
href="https://link.springer.com/content/pdf/bbm%3A978-1-4419-1318-0%2F1.pdf">R
vs Stata</a><br />
(See page 505)</li>
<li><a
href="https://raw.githubusercontent.com/rstudio/cheatsheets/main/sas-r.pdf">R
<-> SAS Cheatsheet</a></li>
<li><a href="https://www.codeconvert.ai/sas-to-r-converter">SAS to R
Converter</a><br />
</li>
<li>You might also find large language models like ChatGPT useful for
code conversion. Be sure to check the output because AI makes
mistakes!</li>
</ul>
</details>
<p><br></p>
<details>
<summary>
<span style="color: #5383bb;"> <strong>Comparison of Python and
R</strong></span>
</summary>
<p><br></p>
<ul>
<li>A helpful <a href="https://www.ibm.com/cloud/blog/python-vs-r">blog
post</a> about the difference between these two languages.</li>
</ul>
</details>
<p><br></p>
<details>
<summary>
<span style="color: #5383bb;"> <strong>Videos of Previous Online
Lectures</strong></span>
</summary>
<p><br></p>
<p><strong>From Summer Institute 2023</strong></p>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="text-align:left;">
Day
</th>
<th style="text-align:left;">
Link to Video
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
Introduction
</td>
<td style="text-align:left;">
<a href="https://youtu.be/aIJrFKQYnP8"
class="uri">https://youtu.be/aIJrFKQYnP8</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
RStudio
</td>
<td style="text-align:left;">
<a href="https://youtu.be/cxHVf5rTK1c"
class="uri">https://youtu.be/cxHVf5rTK1c</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Reproducibility
</td>
<td style="text-align:left;">
<a href="https://youtu.be/af9B9-_df1o"
class="uri">https://youtu.be/af9B9-_df1o</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Basic R
</td>
<td style="text-align:left;">
<a href="https://youtu.be/5io-iZDutH8"
class="uri">https://youtu.be/5io-iZDutH8</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Input
</td>
<td style="text-align:left;">
<a href="https://youtu.be/sllVVRD5YE4"
class="uri">https://youtu.be/sllVVRD5YE4</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Subsetting Data
</td>
<td style="text-align:left;">
<a href="https://youtu.be/dWdK3bnAGm8"
class="uri">https://youtu.be/dWdK3bnAGm8</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Classes
</td>
<td style="text-align:left;">
<a href="https://youtu.be/Q4ubnU35TUs"
class="uri">https://youtu.be/Q4ubnU35TUs</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Summarization
</td>
<td style="text-align:left;">
<a href="https://youtu.be/xsI30yCGgTQ"
class="uri">https://youtu.be/xsI30yCGgTQ</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Cleaning
</td>
<td style="text-align:left;">
<a href="https://youtu.be/qL6_yfiR9Jk"
class="uri">https://youtu.be/qL6_yfiR9Jk</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Manipulation
</td>
<td style="text-align:left;">
<a href="https://youtu.be/fQ7lDp8Svw0"
class="uri">https://youtu.be/fQ7lDp8Svw0</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Intro to Data Visualization
</td>
<td style="text-align:left;">
<a href="https://youtu.be/D5RdNwadtR0"
class="uri">https://youtu.be/D5RdNwadtR0</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Visualization
</td>
<td style="text-align:left;">
<a href="https://youtu.be/fKj1iBxLwyk"
class="uri">https://youtu.be/fKj1iBxLwyk</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Factors
</td>
<td style="text-align:left;">
<a href="https://youtu.be/yqU5zHVh-qA"
class="uri">https://youtu.be/yqU5zHVh-qA</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Statistics
</td>
<td style="text-align:left;">
<a href="https://youtu.be/T9Oh0miYhZ0"
class="uri">https://youtu.be/T9Oh0miYhZ0</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Output
</td>
<td style="text-align:left;">
<a href="https://youtu.be/x2OuR4JhPLY"
class="uri">https://youtu.be/x2OuR4JhPLY</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Functions
</td>
<td style="text-align:left;">
<a href="https://youtu.be/jWv5RSXq5mo"
class="uri">https://youtu.be/jWv5RSXq5mo</a>
</td>
</tr>
</tbody>
</table>
<p><strong>From Summer Institute 2022</strong></p>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="text-align:left;">
Day
</th>
<th style="text-align:left;">
Link to Video
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
RStudio and Reproducibility
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=eCsD0f0q6rY&t=9s"
class="uri">https://www.youtube.com/watch?v=eCsD0f0q6rY&t=9s</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Basic R
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=2YRgDG3qsho"
class="uri">https://www.youtube.com/watch?v=2YRgDG3qsho</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data IO
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=ejnBAdA2N1c"
class="uri">https://www.youtube.com/watch?v=ejnBAdA2N1c</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Subsetting Data
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=GFa6dXAezJg"
class="uri">https://www.youtube.com/watch?v=GFa6dXAezJg</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Summarization
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=kj_69maSANk"
class="uri">https://www.youtube.com/watch?v=kj_69maSANk</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Classes
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=zoVciFJieLY&t=21s"
class="uri">https://www.youtube.com/watch?v=zoVciFJieLY&t=21s</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Cleaning
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=GhK8xMUBNwg"
class="uri">https://www.youtube.com/watch?v=GhK8xMUBNwg</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Manipulation
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=qP73AWUjfAU"
class="uri">https://www.youtube.com/watch?v=qP73AWUjfAU</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Intro to Data Visualization
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=OCVo6vWrKL4"
class="uri">https://www.youtube.com/watch?v=OCVo6vWrKL4</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Visualization
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=9UPlZqOfT_s"
class="uri">https://www.youtube.com/watch?v=9UPlZqOfT_s</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Factors
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=0fE756trEEE"
class="uri">https://www.youtube.com/watch?v=0fE756trEEE</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Statistics
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=jZ5sskAdAJU&t=4s"
class="uri">https://www.youtube.com/watch?v=jZ5sskAdAJU&t=4s</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Functions
</td>
<td style="text-align:left;">
<a href="https://www.youtube.com/watch?v=dx-85RzN1G0"
class="uri">https://www.youtube.com/watch?v=dx-85RzN1G0</a>
</td>
</tr>
</tbody>
</table>
<p><strong>From Winter Institute 2022</strong></p>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="text-align:left;">
Day
</th>
<th style="text-align:left;">
Link to Video
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
RStudio
</td>
<td style="text-align:left;">
<a href="https://youtu.be/zpAQrglIJb0"
class="uri">https://youtu.be/zpAQrglIJb0</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Basic R
</td>
<td style="text-align:left;">
<a href="https://youtu.be/_8ZG0G1nNlA"
class="uri">https://youtu.be/_8ZG0G1nNlA</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Reproducibility
</td>
<td style="text-align:left;">
<a href="https://youtu.be/ChFTiZ7Clo4"
class="uri">https://youtu.be/ChFTiZ7Clo4</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data IO
</td>
<td style="text-align:left;">
<a href="https://youtu.be/bnYN7AfYGNM"
class="uri">https://youtu.be/bnYN7AfYGNM</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Subsetting Data
</td>
<td style="text-align:left;">
<a href="https://youtu.be/kPU3dl25ox8"
class="uri">https://youtu.be/kPU3dl25ox8</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Summarization
</td>
<td style="text-align:left;">
<a href="https://youtu.be/C_a8bGGdrIA"
class="uri">https://youtu.be/C_a8bGGdrIA</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Classes
</td>
<td style="text-align:left;">
<a href="https://youtu.be/ZCe30kIJ0Xc"
class="uri">https://youtu.be/ZCe30kIJ0Xc</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Cleaning
</td>
<td style="text-align:left;">
<a href="https://youtu.be/siFL49CCsJg"
class="uri">https://youtu.be/siFL49CCsJg</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Manipulation
</td>
<td style="text-align:left;">
<a href="https://youtu.be/7M81XUIY5SE"
class="uri">https://youtu.be/7M81XUIY5SE</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Intro to Data Visualization
</td>
<td style="text-align:left;">
<a href="https://youtu.be/Md46muvSrYE"
class="uri">https://youtu.be/Md46muvSrYE</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Data Visualization
</td>
<td style="text-align:left;">
<a href="https://youtu.be/YjDT3ZUSiR4"
class="uri">https://youtu.be/YjDT3ZUSiR4</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Factors
</td>
<td style="text-align:left;">
<a href="https://youtu.be/Co4l0YhuYSk"
class="uri">https://youtu.be/Co4l0YhuYSk</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Statistics
</td>
<td style="text-align:left;">
<a href="https://youtu.be/3nSIN1mu8uw"
class="uri">https://youtu.be/3nSIN1mu8uw</a>
</td>
</tr>
<tr>
<td style="text-align:left;">
Functions
</td>
<td style="text-align:left;">