If you spend time with R regularly then you should have the basics of data manipulation & plotting down within a couple of weeks. The more esoteric functions will take time to master. These are PDF cheat sheets that can be printed out. Keep them handy as you work with R.

R Statistics Cheat Sheet

This cheat sheet summarizes common Stata commands for econometric analysis and provides their equivalent expression in R. References for importing/cleaning data, manipulating variables, and other basic commands include Hanck et al. (2019), Econometrics with R, and Wickham and Grolemund (2017), R for Data Science. Essential Statistics with R: Cheat Sheet Important libraries to load If you don’t have a particular package installed already: install.packages(Tmisc). Library(readr) # for optimized read with readcsv instead of read.csv library(dplyr) # for filter, mutate,%%, etc. See dplyr lesson. Library(ggplot2) # for making plots in this lesson. R Reference Card by Tom Short, EPRI PEAC, tshort@epri-peac.com 2004-11-07 Granted to the public domain. See www.Rpad.org for the source and latest version. Includes material from R for Beginners by Emmanuel Paradis (with permission). Getting help Most R functions have online documentation.

R Stats Cheat Sheet

help.start() - This first link doesn't actually take you to another site because it isn't a resource on the web, it's contained with R. To access it just type help.start() at the prompt and a collection of manuals will appear in your browser window. Pretty handy reference tool, eh?

R Cran Cheat Sheet

R Reference Card - This is the most popular reference card. This same document is available from a number of sites and includes info on input & output, getting help, working with variables & arrays, plotting & more. You want this one.

Statistics For Beginners Pdf

R for Data Mining - This document was written by RDataMining.com. It includes info on classification, clustering, social network analysis, big data and more. This is very handy if you're interested in knowledge discovery & data mining.

Cheat Sheet For Statistics Exam

R Style Guide - This resource is more than a cheat sheet. Google's internal R user community put together this guide for clean R code that covers syntax & conventions that are unique to R. I include it here because I've refered to it quite a bit in my own work. Your code will be easy to read & maintain if you follow these guidelines.