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.

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 Data Manipulation Cheat Sheet Pdf

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.

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.

R Data Manipulation Cheat Sheet Printable

• DataCamp’s data.table cheat sheet is a quick reference for doing data manipulations in R with the data.table R package and syntax The cheat sheet will guide you from doing simple data manipulations using data.table ’s basic i, j, by syntax, to chaining expressions, to using the famous set -family.
• Overview dplyr is an R package for working with structured data both in and outside of R. Dplyr makes data manipulation for R users easy, consistent, and performant. With dplyr as an interface to manipulating Spark DataFrames, you can: Select, filter, and aggregate data.

GIS in R Command Cheat Sheet Vector Data Nick Eubank October 1, 2015 Creating Spatial Objects From Scratch Creating Points: Points: SpatialPoints(matrix of coordinates) Note: if latitude and longitude coordinates, must be ordered longitude (x-coordinate), latitude (y-coordinate) Points with DF: SpatialPointsDataFrame(Spatial Points Obj. Jan 02, 2021 Data Structures in R cheat sheet will help you with the basic concepts and the commands one must know to get started with it. It is helpful for the beginners as well as experienced people as it provides a quick overview of the important concepts required. Further, if you want to learn Data Structures in R, you can refer to the R tutorial. Reshaping Data - Change the layout of a data set Subset Observations (Rows) Subset Variables (Columns) F M A Each variable is saved in its own column F M A Each observation is saved in its own row In a tidy data set: & Tidy Data - A foundation for wrangling in R Tidy data complements R’s vectorized operations. R will automatically preserve.

R Program Cheat Sheet

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.