Regular Expression Searching within Shiny Selectize Objects

regexSelect is a small package that uses Shiny modules to solve a problem in Shiny selectize objects - regular expression (regex) searching. You can quickly filter the values in the selectize object, while being able to add that new regex query to the selectize list. This is great for long lists, since you can return multiple item simultaneously without needing to endlessly click items in a list! Install install.packages('regexSelect') #devtools::install_github('yonicd/regexSelect') Below are two examples of using regular expressions to quickly populate multiple items in a ggplot and a datatable. [Read More]

Automating roxygen2 package documentation

Take the mystery out of CRAN level package maintenance

Thinking of creating a new package? Dread the task of function documentation? Afraid to run devtools::check(build_args = '--as-cran') and get bombarded by Errors, Warnings, and Notes (oh my!) ? Wait…. breathe! After feeling all that anxiety and following all of Hadley’s directions online, I felt I was doing a lot of manual labour, and that a package should be doing all lot of this for me. So we wrote one - sinew (sin-yu). [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]