I am very pleased to announce the first release of the ggforce package.
ggforce is a general ggplot2 extension package in the same vein as ggalt with no overarching goal
other than to provide additional functionality to the ggplot2 universe. The
Guest post by Jonathan Sidi, Metrum Research Group ggplot2 has become the standard of plotting in R for many users. New users, however, may find the learning curve steep at first, and more experienced users may find it challenging to keep track of all the options (especially in the theme!). ggedit is a package that … Continue...
Back in March 2016, I wrote about an extension to the R package ggplot2 that allowed subtitles to be added to charts. The process took a bit of fiddling and futzing, but now, with the release of ggplot2 version 2.2.0, it’s easy.Let’s retrace the steps, and create a chart with a subtitle and a caption, the...
I’m very pleased to announce ggplot2 2.2.0. It includes four major new features: Subtitles and captions. A large rewrite of the facetting system. Improved theme options. Better stacking. It also includes as numerous bug fixes and minor improvements, as described in the release notes. The majority of this work was carried out by Thomas Pederson, who I
In the world of data visualization, the heatmap is underrated and underutilized. It has limitations, but overall, it’s an excellent tool in your data science and data visualization toolkit. After you’ve mastered the foundational visualization techniques (you can write the code for the basic plots in your sleep, right?), you should learn the heatmap.
The recent release of Hadley Whickham’s
2.2.0 included several new
Subtitles and captions.
A large rewrite of the facetting system.
Improved theme options.
What jumped out to me was the...
@drsimonj here to share my method for ordering categories within facets to create plots that look like this…
instead of like this…
Motivation: Tidy Text Mining in R
The motivation for this post comes from Tidy Text Mining in R by Julia Silge and David Robinson. It is a...
The first time I made a bar plot (column plot) with ggplot (ggplot2), I found the process was a lot harder than I wanted it to be. This post steps through building a bar plot from start to finish. First, let’s make some data. I’m going to make a vector of months, a vector of
ggloop is an R package which creates multiple ggplot2 plots with a single function call. The main function, ggloop(), accepts vectors of aesthetics via aes_loop(), which allows ggloop() to generate multiple plots. To read more about this package (which is available on CRAN), you can check out the package website which was built with pkgdown (formerly
Last week I had my class practice making a box plot using the data on page 66 in The Practice of Statistics 4th Edition (TPS 4ed) text book. I’m still going over the details of making a box plot with just a single vector or variable of data. Many of the problems in our textbook