Kaleidoscope

Using R, the Tidyverse, H2O, and Shiny to reduce employee attrition

rstudio::conf 2019

Using R, the Tidyverse, H2O, and Shiny to reduce employee attrition

January 25, 2019

An organization that loses 200 high-performing employees per year has a lost productivity cost of about $15M/year. This cost is massive, yet many organizations don’t know it exists.

R qtl2: Rewrite of a very old R package

rstudio::conf 2019

R qtl2: Rewrite of a very old R package

January 25, 2019

For nearly 20 years, I've been developing, maintaining, and supporting an R package, R/qtl, for mapping quantitative trait loci (genetic loci that contribute to variation in...

Getting it right: Writing reliable and maintainable R code

rstudio::conf 2019

Getting it right: Writing reliable and maintainable R code

January 24, 2019

How can you tell that your scripts, applications, and package functions are working as expected? Are you sure that when you make changes in one part of the code, it won't break something in...

Empowering a data team with RStudio addins

rstudio::conf 2019

Empowering a data team with RStudio addins

January 24, 2019

RStudio addins provide a mechanism to extend RStudio in various ways. Addins can interact with the RStudio IDE through RStudio API. It can also provide users a graphical interface with...