The last R carousel that you'll ever need

We are happy to bring the slick JavaScript library to R. It is self described as “the last carousel you’ll ever need”. This carousel is based on putting the elements of the carousel in a div HTML tag. This makes the carousel very versatile in what can be placed inside. Regular objects that are placed in a carousel can be for example: images, plots, tables, gifs, videos, iframes and even htmlwidgets. [Read More]

ggedit 0.2.0


We are pleased to announce the release of the ggedit package on CRAN. To install the package you can call the standard R command install.packages('ggedit') The source version is still tracked on github, which has been reorganized to be easier to navigate. To install the dev version: devtools::install_github('metrumresearchgroup/ggedit') What is ggedit? ggedit is an R package that is used to facilitate ggplot formatting. With ggedit, R users of all experience levels can easily move from creating ggplots to refining aesthetic details, all while maintaining portability for further reproducible research and collaboration. [Read More]

ggedit 0.1.1

Shiny module to interactvely edit ggplots within Shiny applications

ggedit is a package that lets users interactively edit ggplot layer and theme aesthetics. In a previous post we showed you how to use it in a collaborative workflow using standard R scripts. More importantly, we highlighted that ggedit outputs to the user, after editing, updated: gg plots, layers, scales and themes as both self-contained objects and script that you can paste directly in your code. Installation devtools::install_github("metrumresearchgroup/ggedit",subdir="ggedit") version 0. [Read More]


my first Shiny gadget

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. [Read More]