Search the R documentation for packages or functions:
R is the language spoken by millions of statisticians and data analysts around the globe! Every day, more and more people are falling in love with this beautiful statistical language, making it soon the most popular statistical language in the world. Whether you are a student, an academic, or a professional, R offers you an ever growing list of data analysis functionality in a broad range of areas. All this, thanks to its open-source software model enabling a strong community to continuously build new functionality.
Rdocumentation is a tool that helps you easily find and browse the documentation of (currently almost) all packages on CRAN. Click on the search bar at the top, and start discovering! Also make sure to check out the commenting section for every package and function. Here, everyone can ask a question, provide answers, or share extra examples with the community. We hope this can further increase the knowledge about R.
Install the Rdocumentation package
If you like the Rdocumentation tool, you can install the Rdocumentation R package, such that envoking the help function in R, automatically takes you to the correct Rdocumentation page! It just overwrites the
? and the
help function when loaded. Benefits are:
- Consult the documentation of packages that are not loaded or even not installed quickly
- Enjoy the Rdocumentation search interface in case you are not exactly sure what you are looking for
- Enjoy all future functionality we'll be adding ;-)
To install the Rdocumentation R package locally:
library("devtools"); install_github("Rdocumentation","jonathancornelissen"); library("Rdocumentation") </pre>
Getting started with R
Educate yourself! Follow the interactive R tutorial on DataMind. or start reading the official introduction to R or take the Coursera course on Computing for Data Analysis. If you can't get enough, then make sure to check this more extensive list with resources to learn R.
Find the packages you are interested in, and install them! You can do this by typing in R: