If you are new to using R Markdown, we encourage you to start with a systematic overview, rather than diving right in to reading documentation pages. The best place to start is the “Communication” section in the book “R for Data Science” (R4DS for short), an O’Reilly book written by Hadley Wickham and Garrett Grolemund.
Here are the chapters that cover R Markdown, as summarized by Hadley and Garrett:
In R Markdown, you will learn about R Markdown, a tool for integrating prose, code, and results. You can use R Markdown in notebook mode for analyst-to-analyst communication, and in report mode for analyst-to-decision-maker communication. Thanks to the power of R Markdown formats, you can even use the same document for both purposes.
In R Markdown formats, you’ll learn a little about the many other varieties of outputs you can produce using R Markdown, including dashboards, websites, and books.
We’ll finish up with R Markdown workflow, where you’ll learn about the “analysis notebook” and how to systematically record your successes and failures so that you can learn from them.
Dplyr provides a grammar for manipulating tables in R. 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. Updated January 2017. R For Dummies Cheat Sheet By Andrie de Vries, Joris Meys R is more than just a statistical programming language. It’s also a powerful tool for all kinds of data processing and manipulation, used by a community of programmers and users, academics, and practitioners. R Version Start new R Session in current project Close R Session T H J in project RStudio saves the call history, workspace, and working directory associated with a project. It reloads each when you re-open a project. Name of current project View opens spreadsheet like view of data set Sort by values Filter rows by value or value range.
R Studio Stats Cheat Sheet
R Markdown Cheatsheet R Markdown is an authoring format that makes it easy to write reusable reports with R. You combine your R code with narration written in markdown (an easy-to-write plain text format) and then export the results as an html, pdf, or Word file. You can even use R Markdown to build interactive documents and slideshows.