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The program can be a bit cumbersome to learn as it relies primarily on syntax, but it is also incredibly versatile. I typically work in the following packages: psych, Hmisc, car, ggplot2, lavaan, nlme, lme4. These are not the only packages...
...parametric, non-parametric, and multivariate analyses. I can also teach you to how to make insightful graphs (e.g., using the ggplot2 package), install and maintain R, import/export and manage data, and use popular interfaces such as RStudio.
We also used R exclusively in the Statistics PhD program at Berkeley (2010-2012). And I've been tutoring R ever since; I'm up-to-date with the tidyverse (ggplot2, dplyr, tidyr, etc.) and the many other language developments of the...
I have used R to run all sorts of regression models, and I have experience with Rnw and Rmd files for reproducible research. My favorite R packages are dplyr, ggplot2, googleVis, xtable, stargazer, zoo, xts, aer, tm, and vars.
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