Mine Cetinkaya-Rundel

Login: mine-cetinkaya-rundel

Company: Duke University, @rstudio

Location: Durham, NC

Bio: null

Blog: https://stat.duke.edu/~mc301

Blog: https://stat.duke.edu/~mc301

Member of

  1. Reproducible Science Curriculum

Repositories

2015-06-01-reproducible-science-idigbio
Website for the Reproducible Science Workshop to be taught at iDigBio, June 1-2, 2015
2015-09-24-reproducible-science-duml
Website for the Reproducible Science Workshop to be taught at the Duke Marine Lab, September 24-25, 2015
2016-01-11-reproducible-research-unc
Slides and demo materials for the "Making your research reproducible" talk UNC.
2016-02-12-project-tier-duke
Slides and demo materials for the "Making your research reproducible with the TIER Protocol, R, and GitHub" talk Duke.
2016-03-04-viz-forum
Slides and demo materials for the "Incorporating visualization into statistics education" talk at the Visualization Forum at Duke.
2016-04-28-bayesian-baby-steps-opre
Slides for the "Bayesian Baby Steps" talk at OPRE in Washington, DC.
2016-05-17-tech-lower-barriers-ecots
null
2016-06-27-first-ds-course-user
Slides for the "A first-year undergraduate data science course" talk at useR 2016 at Stanford
2016-08-03-reproducible-undergrad-stats
Slides for the "Integrating reproducibility into the undergraduate statistics curriculum" talk at JSM 2016 in Chicago, IL
2016-11-14-reproducible-undergrad-stats
Slides and other materials for the "Weaving reproducibility through the undergraduate statistics curriculum" ASA Webinar
2017-07-05-teach-ds-to-new-user
Slides and demo materials for the "Teaching data science to new useRs" talk at useR2017.
2017-11-10-data-sci-ground-up-ncf
Slides for "Data Science, from the ground up" talk at New College of Florida, Oct 10, 2017
cause-learnr
Materials for the "Interactive R tutorials with learnr" CAUSE webinar on May8, 2018
chance-dataviz
Chance column on data visualization modules in the classroom
chanceReproducibility
Source files for the column in Chance Magazine, "Five concrete reasons your students should be analyzing data in the reproducible paradigm"
datafest
Streamline your ASA DataFest organization workflow with Google forms and R Markdown
datafest-growth
Interactive visualization depicting growth of DataFest over the years
datafest-web
Website for Duke DataFest.
data-science-uscots-2017
Slides and demo materials for the "Teaching Data Science and Statistical Computation to Undergraduates" talk at USCOTS 2017
dbplyr
Database (DBI) backend for dplyr
df2015_workshops
Workshops leading up to DataFest 2015 @Duke
df2016_workshops
null
df2017_workshops
Slides and supplementary materials for DataFest at Duke 2017 workshops
dictionary
R package with words from the English dictionary, their types and meanings
ds-ed-enar2018
Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018
dss_comp_boot_test
This is a test repo for the DSS Computing Bootcamp
dss_computing_bootcamp
Computing and reproducibility bootcamp for Duke StatSci graduate students.
dss-undergrad-thesis
Undergraduate thesis template for Duke Statistical Science
dukelib-workshop-rmarkdown
Materials for the R Markdown workshop at Duke Data Library Workshop Series, Jan 23 2018
dukelib-workshop-shiny
Materials for the Shiny workshop at Duke Data Library Workshop Series, Jan 25 2018
duke_statsci_homepage
My academic homepage on the Duke Statistical Science website.
frictionless-onboard-ecots2018
Materials for the "Frictionless onboarding to data science with RStudio Cloud" talk at eCOTS 2018
gapminder
Excerpt from the Gapminder data, as an R data package and in plain text delimited form
ggplot2
An implementation of the Grammar of Graphics in R
ghclass
Tools for managing classroom organizations
github-class-sigcse-2018
Slides for the "We'll git there, slowly but surely" talk at SIGCSE 2018
glue
Glue strings to data in R. Small, fast, dependency free interpreted string literals.
happy-git-with-r
Using Git and GitHub with R, Rstudio, and R Markdown
highcharts-in-r
null
infer
An R package for tidyverse-friendly statistical inference
intro_demo
Introductory demo repo for Sta 112 - Fall 2015
learnr
Interactive Tutorials with R Markdown
likert
Package to analyze likert based items.
lullabyr
Generate children's songs with random words
mail_merge
Brief example of mail merge in RMarkdown
make-research-repro-unc-psy831
Materials for the Making your Research Reproducible talk at UNC - PSY 831
novel-first-stat-ds-jsm2017
Presentations and supplementary materials for the Novel Approaches to First Statistics / Data Science Course at JSM 2017
oer-tango-uscots-2017
Slides for the "Open Education Resources" talk at USCOTS 2017
oilabs
An R package that contains the data sets, custom functions, documentation, and templates for the OpenIntro Labs.
oiLabs-dplyr-ggplot
OpenIntro Labs in R using the dplyr syntax for data manipulation
openintro
null
openintro-r-package
R Package: openintro
r4ds
R for data science
reprex
Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
reproducibility-uscots15
Slides and other materials for the "Connecting data, analysis, and results using a reproducible framework" at USCOTS 2015.
reproducible-computing-isba-2018
Materials for the "Reproducible Computing" workshop at ISBA 2018
rmarkdown
Dynamic Documents for R
rmd-shiny-css
Embedding a Shiny app in an R Markdown document and styling with CSS
rotten
Movies dataset combining information from Rotten Tomatoes and IMDB
rr-intro
Introduction materials for Reproducible Research Curriculum
rr-version-control-demo
null
rstudio-conf
Materials for rstudio::conf
rstudioconf-2018-rmd-eight-ways
Slides and materials for the "R Markdown: Eight ways" talk at rstudio::conf 2018
rsummit-2015
slides and demo materials for the talk titled "Expanding R Exposure through Early Introduction in the Undergraduate Curriculum" at RSummit 2015
rtweet
R client for accessing Twitter [stream and REST] API
rworkshop-mem
Materials for the R workshop for Duke Master of Engineering Management students
secimanalizi
ver ve metin madencili?i yöntemleriyle sçim analizleri
shiny
Easy interactive web applications with R
shiny-baby-names
A Shiny app for picking baby names
shiny-goog-trend-index
Shiny app for Google Trend Index
shinyJsTutorials
tutorials materials on R/Shiny bindings to popular javascript libraries
shiny-training-2017-01-rstudio-conf
Slides and demo materials for the 2-day Intermediary Workshop at rstudio::conf, January 2017
shiny-training-2017-05-genentech
Slides and demo materials for the 2-day Intermediate Shiny Workshop at Genentech, May 2017
shiny-training-css-2017-08-10
Brief introduction to Shiny materials
ssnap-2017
Slides and exercises for SSNAP 2017
sta101_f15
Course materials for Sta 101 - Fall 2015 semester at Duke University
sta101-s16
Course materials for Sta 101 - Spring 2016 semester at Duke University
sta101_sp15
Course materials for Sta 101 - Spring 2015 semester at Duke University
sta104_su15
Course materials for Sta 104 - Summer 2015 semester at Duke University
sta112_f15
Course materials for Sta 112 Data Science - Fall 2015 at Duke University
sta771s-s16
Course materials for Sta 771S - Spring 2016 semester at Duke University
start-with-data-science-wds-2018
Slides for the "Start with data science" talk at the 2018 Women in Data Science Conference
start-with-ds
Slides and materials for the "Start with Data Science as an Introduction to Statistical Thinking" invited session at SDSS 2018
test_gh_md
To test what's up with md rendering on GH
thesisdowndss
An updated R Markdown thesis template using the bookdown package
thesis-sp18-driscoll-envjustice
Undergraduate honors thesis of Anne Driscoll, to be submitted in Spring 2018
tidyverse.org
Source of tidyverse.org
useR-2015
Slides and demo materials for the "Using R, RStudio, and Docker for introductory statistics teaching" talk useR2015.
webinars
Code and slides for RStudio webinars

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This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.