The xkcd package provides a set of functions for plotting data in a XKCD style using ggplot2.

Tools I may want to use

Chapter from "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (Second Edition)" by John K. Kruschke

Proxy Access

I look at differences in a side-by-side, from a practitioner's perspective (from FlowingData)

In this interactive course from DataCamp, you will learn how to to perform sophisticated data manipulation tasks using dplyr. Master the five verbs of data manipulation, and complementing techniques to chain your operations, perform group-wise calculations and access data stored in a database outside R.

Outline:

• Introduction to dplyr and tbls
• Select and mutate 
• Filter and arrange 
• Summarise and the pipe operator 
• Group_by and working with databases 

Online course  DataCamp
 

Learning objective:  To be able to use the 6 main dataframe manipulation ‘verbs’ with pipes in dplyr.

Part of a software carpentry online course R for reproducible scientific analysis.

Dataframe manipulation with dplyr

R for reproducible scientific analysis

Software Carpentry

Data:

Gapminder dataset

Learning objective:  To understand the concepts of ‘long’ and ‘wide’ data formats and be able to convert between them with tidyr.

Part of a software carpentry online course R for reproducible scientific analysis.

Dataframe manipulation with tidyr

R for reproducible scientific analysis

Software Carpentry

Data:

Gapminder dataset

Gapminder dataset (wide format)

Download

Link

by Sharon Machlis
edited by Johanna Ambrosio

Computerworld

These notes are an introduction to using the statistical software package R for an introductory statistics course. They are meant to accompany an introductory statistics book such as Kitchens “Exploring Statistics”. The goals are not to show all the features of R, or to replace a standard textbook, but rather to be used with a textbook to illustrate the features of R that can be learned in a one-semester, introductory statistics course.

Download

Chapter from "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (Second Edition)" by John K. Kruschke

Proxy Access

Last year, I presented an informal course on the basics of R Graphics University of Turku. In this blog post, I am providing some of the slides and the full code from that practical, which shows how to build different plot types using the basic (i.e. pre-installed) graphics in R

Website Supplementary Files

Website

by Tim Appelhans

This tutorial was developed as part of a one-day workshop held within the Ecosystem Informatics PhD-programme at the Philipps University of Marburg. The contents of this turtorial are published under the creatice commons license 'Attribution-ShareAlike CC BY-SA'.

Website

swirl teaches you R programming and data science interactively, at your own pace, and right in the R console!

For teachers:

swirl is a platform for teaching R programming and data science. However, an educational platform is only as good as the content it delivers to students. Although we have contributed some content ourselves, swirl is designed in such a way that you can create your own interactive content and share it freely with students in your classroom or around the world.