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<h1>TeachStatsWithR</h1>
<p>Materials for the MOSAIC “Teaching Statistics with R and RStudio”</p>
<h3>Compiling</h3>
<p>The content of each book is in a separate directory. That directory has a subdirectory, <code>Master</code> with a file <code>Master-*.Rnw</code>. </p>
<p>Each of the <code>.Rnw</code> files in the content directory can be compiled on it's own. Just “Knit HTML” in RStudio. This will create a PDF file.</p>
<p>To create the whole book, you need to recompile each <code>.Rnw</code> after setting a variable, <code>notAsStandAlone=TRUE</code>. The process is</p>
<pre><code class="r">require(knitr)
# Change to the directory, e.g. 'Starting'
setwd("Starting") # go to your own directory
standAlone = TRUE
fnames <- list.files(pattern = "*.Rnw$") # files to recompile
for (fnm in fnames) knit(fnm)
</code></pre>
<h3>Outline</h3>
<p>This project consists of several short books that are inter-related.</p>
<ol>
<li>Start Teaching with R
Directory: <code>Starting</code></li>
<li> The Core of a Traditional Course
Directory: <code>Traditional</code></li>
<li>Simulation-Based Inference
Directory: <code>Simulation</code></li>
<li>Functions and Formulas
Directory: <code>Functions</code></li>
<li>Teaching with Internet Services
Directory: <code>Internet</code></li>
<li>Start with Modeling
Directory: <code>Modeling</code></li>
</ol>
<p>APPENDICES</p>
<p>A. Style instructions for authors
B. Possible additional topics</p>
<p>Outlines for the individual chapters are in the <code>Outline.Rmd</code> file in each directory.</p>
<h2>Overview</h2>
<p>Some general comments about the project as a whole.</p>
<h2>Start Teaching with R: Outline</h2>
<p>Random list of things to include:</p>
<ul>
<li>RStudio introduction</li>
<li>Packages and why to use them</li>
<li>The mosaic package and others that we recommend</li>
<li>Minimal R reference</li>
<li>Rmd</li>
<li>Umbrella for other books</li>
<li>Error messages. Things to look for in error messages.
<ul>
<li>overwriting names</li>
<li>recycling vectors</li>
<li>factors and characters</li>
</ul></li>
<li>Data
<ul>
<li><code>data()</code></li>
<li>Group data with Google forms</li>
<li><code>fetchData()</code> and requesting a repository name</li>
<li>distributing other kinds of files, e.g. templates for .Rmd, scripts, …</li>
</ul></li>
<li>Style
<ul>
<li>Don't use one-letter names in your examples. Your students will pick this up and end up saying things like <code>c = makeFun(x~x)</code>, which will mask <code>base::c()</code> and mess everything up until you <code>remove(c)</code></li>
</ul></li>
</ul>
<h2>R Core for a Traditional Course: Outline</h2>
<h2>Simulation-Based Inference: Outline</h2>
<h2>Functions and Formulas: Outline</h2>
<h2>Using Internet Services: Outline</h2>
<h2>Start Modeling Early: Outline</h2>
<h1>Appendix A: Style Instructions for Authors</h1>
<p>Notes for the authors can be included using <code>\authNote{A note to the authors.}</code></p>
<p>Processed notes for the authors can be hidden using <code>\authNoted{A noted note to the authors.}</code></p>
<h2>Some Style Guidelines</h2>
<ol>
<li>R Code
<ol>
<li>Use space after comma in argument lists </li>
<li>No space around = in argument list</li>
<li>Use space around operators, <code><-</code> and <code>-></code></li>
<li>Casual comments (no need for caps)</li>
<li>When referring to functions in the text, add empty parens (e.g., <code>data()</code>) to make it clear that the object is a function.</li>
</ol></li>
<li>Exercises
N.B. Some exercises are for instructors, not for students.
<ol>
<li>Use <code>\begin{problem} ... \end{problem}</code> to define problems.</li>
<li>Use <code>\begin{solution} ... \end{solution}</code> to define solutions.</li>
</ol></li>
</ol>
<p>This must be \emph{outside} the <code>problem</code> environment and before the definition of the next problem. Put it immediately after <code>\end{problem}</code> to avoid confusion.</p>
<ul>
<li>Use <code>\shipoutProblems</code> to display all problems queued up since the last <code>shipoutProblems</code>.</li>
<li><p>Examples
Put within <code>\begin{example}</code> and <code>end{example}</code>. We can tweak the formatting later.</p></li>
<li><p>Marginal Notes
We can place some marginal notes with:</p>
<ul>
<li><code>\InstructorNote{This is an instructor note.}</code></li>
<li><code>\FoodForThought{We can tweak the layout, color, size, etc. later. For now. I'm just using color to distinguish.}</code></li>
<li><code>\Caution{This is a caution}</code></li>
</ul></li>
</ul>
<ol>
<li>Variable names. Often it's nice to distinguish between anactual variable name and a word that might have a similar name, for instance between sex and <code>sex</code>. Use the <code>\VN{sex}</code> command to accomplish this.</li>
<li>Model formulas. Use <code>\model{A}{B+C}</code> to generate <code>A ~ B+C</code> . Often, you may want to use variable names, for instance <code>\model{\VN{height}}{\VN{age}+\VN{sex}}</code> gives <code>height ~ age + sex</code>.</li>
</ol>
<h3>R-forge svn</h3>
<p>The mosaic R-forge repository contains</p>
<ul>
<li>The <code>.Rnw</code> files </li>
<li>The dependencies in <code>bin/</code></li>
<li><em>LaTeX</em> dependencies in <code>inputs/</code><br/>
<ul>
<li><code>problems.sty</code> (for problems and solutions)</li>
<li><code>authNote.sty</code> (for author notes)</li>
<li><code>probstat.sty</code> (for some prob/stat macros)</li>
<li><code>sfsect.sty</code> (for san serif section title fonts)</li>
</ul></li>
</ul>
<p>You may need to set an environment variable to make <em>LaTeX</em> look here.</p>
<ul>
<li>the <code>cache/</code> and <code>figures/</code> directories (so that <code>make</code> can be used
without complaint), but <em>not</em> their contents, which are generated by <code>sweave</code>.</li>
<li>screenshots and other images not generated by <code>sweave</code> are in <code>images/</code></li>
</ul>
<h1>Appendix B: Possible Additional Topics</h1>
<p>Do we want to include any of these topics?</p>
<ul>
<li>Fancier Lattice Graphics</li>
<li>Base Graphics</li>
<li>Making plots with <code>ggplots2</code>
Only if one of us knows or wants to learn this system.</li>
<li>Writing executable R scripts</li>
<li>R Infrastructure for Teaching
Whatever of this we include might end up in the chapters rather than in
an appendix.</li>
<li>Sharing in R Studio</li>
<li>Public Data</li>
<li>Google Data</li>
<li>Making Data Available Online</li>
<li>A Brief Tour of knitr and R-markdown</li>
<li>exams</li>
<li>Books
<ul>
<li>Our books</li>
<li>Chance et al (in progress)</li>
<li>Existing books that work well/poorly with R (and why)</li>
</ul></li>
<li>Online materials</li>
</ul>
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