

Mine Çetinkaya-Rundel
Senior Developer Advocate
I am a Professor of the Practice and the Director of Undergraduate Studies at the Department of Statistical Science and an affiliated faculty in the Computational Media, Arts, and Cultures program at Duke University. I am also the Director of the First-Year Experience in Trinity College of Arts & Sciences. My work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education. I work on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. In Fall 2025, I’m teaching STA 199 - Introduction to Data Science and Statistical Thinking. My office hours are Fridays 12:45-2:15 pm in Old Chem 211C. Read more below or find me on Mastodon and Bluesky.
Software by Mine Çetinkaya-Rundel

dplyr
dplyr: A grammar of data manipulation

forcats
🐈🐈🐈🐈: tools for working with categorical variables (factors)

ggplot2
An implementation of the Grammar of Graphics in R

purrr
A functional programming toolkit for R

readr
Read flat files (csv, tsv, fwf) into R

tidyr
Tidy Messy Data

usethis
Set up commonly used 📦 components

cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/
datascience-box
Data Science Course in a Box

dbplyr
Database (DBI) backend for dplyr

dsbox
Companion R package to Data Science Course in a Box

duckplyr
A drop-in replacement for dplyr, powered by DuckDB for speed
education.rstudio.com

gert
Simple git client for R

glue
Glue strings to data in R. Small, fast, dependency free interpreted string literals

googlesheets4
Google Spreadsheets R API (reboot of the googlesheets package)

gradethis
Tools for teachers to use with learnr

hex-stickers
RStudio hex stickers

infer
An R package for tidyverse-friendly statistical inference

learnr
Interactive Tutorials with R Markdown
pak
A fresh approach to package installation

parsnip
A tidy unified interface to models

pkgdown
Generate static html documentation for an R package
rstudio-conf
Materials for rstudio::conf
rstudio-conf-2022-program
rstudio::conf(2022, "program")

Shiny
Easy interactive web applications with R
shiny-examples
shiny-gallery
Code and other documentation for apps in the Shiny Gallery ✨
style
The tidyverse style guide for R code

systemfonts
System Native Font Handling in R

themis
Extra recipes steps for dealing with unbalanced data
tidy-dev-day
Tidyverse developer day
tidyverse.org
Source of tidyverse.org
TMwR
Code and content for "Tidy Modeling with R"

vitals
Large language model evaluation for R
webinars
Code and slides for RStudio webinars

webshot2
Take screenshots of web pages from R
