If you’re ready to build interactive web apps with R, say hello to Shiny. This cheat sheet provides a tour of the Shiny package and explains how to build and customize an interactive app. Be sure to follow the links on the sheet for even more information.
- Learning Roadmap
- Important RStudio Sites
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The Latest Resources
RStudio IDE Cheat Sheet
The RStudio IDE is the most popular integrated development environment for R.
Data Import Cheat Sheet
The Data Import cheat sheet reminds you how to read in flat files with http://readr.tidyverse.org/, work with the results as tibbles, and reshape messy data with tidyr.
Data Transformation Cheat Sheet
This cheat sheet will guide you through the grammar, reminding you how to select, filter, arrange, mutate, summarise, group, and join data frames and tibbles.
Dates and Times Cheat Sheet
Lubridate makes it easier to work with dates and times in R. This lubridate cheatsheet covers how to round dates, work with time zones, extract elements of a date or time, parse dates into R and more.
R Markdown 2.0 Cheat Sheet
R Markdown is an authoring format that makes it easy to write reusable reports with R.
Data Visualization Cheat Sheet
The ggplot2 package lets you make beautiful and customizable plots of your data.
Apply Functions Cheat Sheet
The purrr package makes it easy to work with lists and functions.
Work with Strings Cheat Sheet
The stringr package provides an easy to use toolkit for working with strings, i.e. character data, in R.
Data Science in sparklyr Cheat Sheet
Sparklyr provides an R interface to Apache Spark, a fast and general engine for processing Big Data.
Deep Learning with Keras Cheat Sheet
Deep Learning with Keras Cheat Sheet - Keras is a high-level neural networks API developed with a focus on enabling fast experimentation.
Package Development Cheat Sheet
The devtools package makes it easy to build your own R packages, and packages make it easy to share your R code. Supplement this cheat sheet with r-pkgs.had.co.nz, Hadley’s book on package development
caret Cheat Sheet
The caret package (short for _C_lassification _A_nd _RE_gression _T_raining) is a set of functions that attempt to streamline the process for creating predictive models.
rstudio::conf 2018 complete cheat sheet binder