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oten-plickers

Slides from my 2017 talk about Plickers at the Oregon Technology in Education Network Annual Conference

papaja

papaja (Preparing APA Journal Articles) is an R package that provides document formats and helper functions to produce complete APA manscripts from RMarkdown-files (PDF and Word documents).

pdqr

Create, transform, and summarize custom random variables with distribution functions

pdx_bike_bridges

Exploring bike crossing data for Portland bridges

pnwflights14

An R data package containing all out-bound flights from SEA and PDX in 2014 + useful metadata

portland-bootcamp17

Materials for a 1.5 day R bootcamp I led at Reed College in May 2017

prison-admissions

U.S. state prison admissions by county

probapp

Probability Applet

python-for-r-users

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

r-pkgs

Building R packages

r-tutorials

r-workshop

Materials for a short course in R.

r2anki-notebooks

r2anki-notebooks to start your r2anki-collection

r4ds

R for data science

r4ds-exercise-solutions

Exercise solutions to "R for Data Science"

radiant

Business analytics using R and Shiny

rbasics

[DEPRECATED] Generating files for bookdown documentation on using R, RStudio, and RMarkdown

rbasics-book

An introduction to R, RStudio, and RMarkdown created with GitHub pages and bookdown package

reed_workshops

Workshops, presentations, and blog posts on using R at Reed College

reedoilabs

An R package that contains the data sets, custom functions, documentation, and templates for the OpenIntro Labs and other content for Reed College.

reedtemplates

(DEPRECATED - Please don't use this!) A template for creating Reed College senior theses using R and Markdown.

rstudio-conf

Materials for rstudio::conf

rstudioconf

Slides from my 2017 talk at rstudio::conf

rudeboybert

Current personal webpage built w/ RStudio blogdown

shiny-workshop

An introduction to shiny for Reed College Math 241

siuba

Python library for using dplyr like syntax with pandas and SQL

skimr

A frictionless, pipeable approach to dealing with summary statistics

soc301_s2017

Materials for my SOC 301 course at Pacific University in Spring 2017

statsr

Companion package for the Coursera Statistics with R specialization