Guest post by Jonathan Sidi, Metrum Research Group

Last week the updated version of ggedit was presented in RStudio::conf2017. First, a BIG thank you to the whole RStudio team for a great conference and being so awesome to answer the insane amount of questions I had (sorry!). For a quick intro to the package see the previous post.

To install the package:

devtools::install_github("metrumresearchgroup/ggedit",subdir="ggedit")

Highlights of the updated version.

verbose script handling during updating in the gagdet (see video below)
verbose script output for updated layers and theme to parse and evaluate in console or editor
colourpicker control for both single colours/fills and and palletes
output for scale objects eg scale*grandient,scale*grandientn and scale*manual
verbose script output for scales eg scale*grandient,scale*grandientn and scale*manual to parse and evaluate in console or editor
input plot objects can have the data in the layer object and in the base object.
- ggplot(data=iris,aes(x=Sepal.Width,y=Sepal.Length,colour=Species))+geom_point()
- ggplot(data=iris,aes(x=Sepal.Width,y=Sepal.Length))+geom_point(aes(colour=Species))
- ggplot()+geom_point(data=iris,aes(x=Sepal.Width,y=Sepal.Length,colour=Species))
plot.theme(): S3 method for class ‘theme’
- visualizing theme objects in single output
- visual comparison of two themes objects in single output
- will be expanded upon in upcoming post

Continue reading “ggedit 0.0.2: a GUI for advanced editing of ggplot2 objects”

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 helps users bridge the gap between making a plot and getting all of those pesky plot aesthetics just right, all while keeping everything portable for further research and collaboration.

ggedit is powered by a Shiny gadget where the user inputs a ggplot plot object or a list of ggplot objects. You can run ggedit directly from the console from the Addin menu within RStudio.

Continue reading “ggedit – interactive ggplot aesthetic and theme editor”