Vancouver, BC, Canada

Jennifer (Jenny) Bryan

Elite
@jennybc

Software engineer @posit-dev, humane #rstats

googlesheets. Google Spreadsheets R API

786

happy-git-with-r. Using Git and GitHub with R, Rstudio, and R Markdown

614

row-oriented-workflows. Row-oriented workflows in R with the tidyverse

424

here_here. I love the here package. Here's why.

323

gapminder. Excerpt from the Gapminder data, as an R data package and in plain text delimited form

304

ggplot2-tutorial. Teaching materials for the R package ggplot2

252

code-smells-and-feels. Talk on code smells and feels and how to change that via refactoring

237

send-email-with-r. How to send a bunch of email from R

203

r-graph-catalog. All graphs in “Creating More Effective Graphs”, made with R package ggplot2.

190

repurrrsive. Recursive lists to use in teaching and examples, because there is no mtcars for lists.

138

access-r-source. How to get at R source. I am sick of Googling this. I am writing it down this time.

129

free-photos. Places to find CC0 photos and the like

124

purrr-tutorial. Materials for getting to the know the R package purrr

115

debugging. Talk about general debugging strategies. How to be less confused and frustrated.

115

pkg-dev-tutorial. Package Development tutorial for useR! 2019 Toulouse

89

how-to-name-files. R

84

docker-why. Notes about why an R user would use Docker

58

scary-excel-stories. Sobering things about Excel

58

jadd. RStudio addins

54

bingo. Generate Bingo cards with R.

52

sanesheets. A rant about spreadsheets.

47

githug. Interface to local and remote Git operations

46

manipulate-xml-with-purrr-dplyr-tidyr. Example of taming XML with nested data frames and purrr

43

zen-art-workflow. Links and credits for a talk: Zen And The aRt Of Workflow Maintenance

37

operation-chromebook. Setup notes for the Bryan family Chromebooks

34

lotr. R

29

foofactors. Make Factors Less Aggravating

28

lotr-tidy. Tidy data lesson using Lord of the Rings data.

25

2015-08_bryan-jsm-stat-data-sci-talk. Bryan talk at JSM 2015 re: are statisticians data scientists

18
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