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<h1>Resources for learning R after Stata</h1>
<p>There are not as many of these as I would have expected. These are the only useful ones that I found.</p>
<ul>
<li>Matthieu Gomez “R for Stata Users”. <a href="http://www.princeton.edu/~mattg/statar/" class="uri">http://www.princeton.edu/~mattg/statar/</a></li>
<li>EconometricsBySimulation. “Dictionary: Stata to R” <a href="https://github.com/EconometricsBySimulation/RStata/wiki/Dictionary:-Stata-to-R" class="uri">https://github.com/EconometricsBySimulation/RStata/wiki/Dictionary:-Stata-to-R</a></li>
<li>DataCamp course *R for SAS, SPSS and Stata Users“. <a href="https://www.datacamp.com/courses/r-for-sas-spss-and-stata-users-r-tutorial" class="uri">https://www.datacamp.com/courses/r-for-sas-spss-and-stata-users-r-tutorial</a></li>
<li>Muenchen, Robert A. and Joseph Hilbe. 2010. <em>R for Stata Users</em> <a href="http://link.springer.com/book/10.1007%2F978-1-4419-1318-0">http://link.springer.com/book/10.1007%2F978-1-4419-1318-0</a>. Useful, although R has changed a surprisingly large amount in the last four years. For example, this does not include RStudio. <em>Note that if you’re unaware, almost all Springer books are available through the library</em></li>
<li>Oscar Torres-Reyna, “Getting Started in R~Stata Notes on Exploring Data” <a href="http://www.princeton.edu/~otorres/RStata.pdf" class="uri">http://www.princeton.edu/~otorres/RStata.pdf</a>.</li>
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