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‎docs/a1-starting.html

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<h1 class="quarto-secondary-nav-title mb-0 fs-5 d-inline">Appendix A — Installing R and RStudio</h1>
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<h1 class="quarto-secondary-nav-title mb-0 fs-3 d-inline">Appendix A — Installing R and RStudio</h1>
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<nav class="ms-lg-auto py-2 floating overflow-scroll "><div class="px-3 pt-lg-2 text-center">
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<h4 class="sidebar-title text-center mt-1 mb-0 py-0">Hands-On Programming with R</h4>
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<div class="sidebar-tools-main mt-1">
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<main><header id="title-block-header"><h1 class="title d-none d-lg-block display-6">Appendix A — Installing R and RStudio</h1>
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<main><header id="title-block-header"><h1 class="title d-none d-lg-block display-7">Appendix A — Installing R and RStudio</h1>
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</header><p>To get started with R, you need to acquire your own copy. This appendix will show you how to download R as well as RStudio, a software application that makes R easier to use. You’ll go from downloading R to opening your first R session.</p>
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<p>Both R and RStudio are free and easy to download.</p>
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<section class="level2" data-number="A.1"><h2 data-number="A.1" class="anchored" id="how-to-download-and-install-r">
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<p>When you open RStudio, a window appears with three panes in it, as in <a href="#fig:layout">fig.&nbsp;<span>A.1</span></a>. The largest pane is a console window. This is where you’ll run your R code and see results. The console window is exactly what you’d see if you ran R from a UNIX console or the Windows or Mac GUIs. Everything else you see is unique to RStudio. Hidden in the other panes are a text editor, a graphics window, a debugger, a file manager, and much more. You’ll learn about these panes as they become useful throughout the course of this book.</p>
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<figcaption aria-hidden="true" class="figure-caption">Figure A.1: The RStudio IDE for R.</figcaption><p></p>

‎docs/a2-packages.html

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<h1 class="quarto-secondary-nav-title mb-0 fs-5 d-inline">Appendix B — R Packages</h1>
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<h4 class="sidebar-title text-center mt-1 mb-0 py-0">Hands-On Programming with R</h4>
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<main><header id="title-block-header"><h1 class="title d-none d-lg-block display-6">Appendix B — R Packages</h1>
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<main><header id="title-block-header"><h1 class="title d-none d-lg-block display-7">Appendix B — R Packages</h1>
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</header><p>Many of R’s most useful functions do not come preloaded when you start R, but reside in <em>packages</em> that can be installed on top of R. R packages are similar to libraries in C, C++, and Javascript, packages in Python, and gems in Ruby. An R package bundles together useful functions, help files, and data sets. You can use these functions within your own R code once you load the package they live in. Usually the contents of an R package are all related to a single type of task, which the package helps solve. R packages will let you take advantage of R’s most useful features: its large community of package writers (many of whom are active data scientists) and its prewritten routines for handling many common (and exotic) data-science tasks.</p>
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‎docs/a3-updating.html

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<h1 class="quarto-secondary-nav-title mb-0 fs-5 d-inline">Appendix C — Updating R and Its Packages</h1>
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</header><p>The R Core Development Team continuously hones the R language by catching bugs, improving performance, and updating R to work with new technologies. As a result, new versions of R are released several times a year. The easiest way to stay current with R is to periodically check <a href="http://cran.r-project.org">the CRAN website</a>. The website is updated for each new release and makes the release available for download. You’ll have to install the new release. The process is the same as when you first installed R.</p>
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<p>Don’t worry if you’re not interested in staying up-to-date on R Core’s doings. R changes only slightly between releases, and you’re not likely to notice the differences. However, updating to the current version of R is a good place to start if you ever encounter a bug that you can’t explain.</p>
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<p>RStudio also constantly improves its product. You can acquire the newest updates just by downloading them from <a href="http://www.rstudio.com/ide">RStudio</a>.</p>

‎docs/a4-data.html

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<h1 class="quarto-secondary-nav-title mb-0 fs-5 d-inline">Appendix D — Loading and Saving Data in R</h1>
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<main><header id="title-block-header"><h1 class="title d-none d-lg-block display-7">Appendix D — Loading and Saving Data in R</h1>
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</header><p>This appendix will show you how to load and save data into R from plain-text files, R files, and Excel spreadsheets. It will also show you the R packages that you can use to load data from databases and other common programs, like SAS and MATLAB.</p>
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<span class="header-section-number">D.1</span> Data Sets in Base R</h2>

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