“Do More with R” video tutorials

Search for R video tutorials by task, topic, or package. Most videos are shorter than 10 minutes

Executive Editor, Data & Analytics, InfoWorld |

“Do More with R” video tutorials — Thinkstock

‘Do More with R’ offers quick video tips on useful things you can do in the R programming language. Now you can search these R tutorial videos by topics, tasks, and packages in the table below. (Click on the task to go straight to the video content—or in some cases, an article with a video). Most videos are shorter than 10 minutes.

Search Do More With R by task, package, or category

Task	Category	Packages/Software
Preview color-matched parentheses, brackets, and braces in RStudio alpha version	programming	RStudio
Run lengthy scripts as RStudio background jobs	programming, Rstudio	RStudio
Create interactive tables with expandable rows	data display	reactable
R 4.0 new features and running R and Rstudio in a Docker container	programming	R, RStudio, Docker
dplyr's new across function	data wrangling	dplyr
Easier ggplot with ggeasy	dataviz, ggplot	ggplot2, ggeasy
data.table symbols and operators, plus new fcase function	data wrangling, data analysis	data.table
Add color to ggplot2 visualization with the ggtext package	dataviz	ggplot2, ggtext
Search, sort, and filter tweets by hashtag with rtweet and reactable	programming	rtweet, reactable
Send text messages with R	collaboration	twilio
What's that ZIP Code? Points in polygons geospatial analysis in R	GIS, data analysis	sf, tmap, tmaptools
Merge data in R 3 ways: base R, dplyr, and data.table	data wrangling	dplyr, data.table, dtplyr
Get data.table speed with dplyr syntax using dtplyr	programming	dtplyr, dplyr, data.table
Intro to data.table	data wrangling, data analysis	data.table
Export data from R to Excel with Excel formatting or multiple sheets	data export	openxlsx, rio
Import API data with httr	programming	httr
Use git and GitHub with R	programming	usethis, Rstudio
Write your own ggplot2 functions	programming	rlang, ggplot2
Group and summarize with data.table and .SD	programming	data.table
Calculate month-over-month comparisons	programming	dplyr
Send Slack messages with R	collaboration	slackr
Send email with R and Gmail	collaboration	gmailr
Boost R Markdown interactivity	data display	markdown, shiny
Customize ggplot with bbplot	dataviz	bbplot, ggplot2
Reshape data with tidyr’s new pivot functions	data wrangling	tidyr
Write your own R package	programming	devtools, usethis, roxygen2
Run Python in R code	programming	reticulate, python
Write your own RStudio addins	programming	Rstudio
Create color-coded calendars	dataviz	ggcal, ggplot2
Save time with Rstudio addins and keyboard shortcuts	programming	Rstudio
Create lookup tables with named vectors	programming	base R
Keep passwords and tokens secure	security, programming	keyring
Add sparklines to HTML tables	dataviz	DT, sparkline
Make a quick interactive table	data display	DT
Drag-and-drop ggplot	dataviz	esquisse, ggplot2
Reshape data with tidyr	data wrangling	tidyr
Schedule R scripts on a Mac	programming	cronR
Generate HTML, Word docs and more with R Markdown	data display	markdown
Access nested list items	data wrangling	purrr
Create animations in R	dataviz	gganimate, ggplot2
Create maps	GIS, dataviz	sf, tmap, tmaptools, leaflet
Iterate without for loops using purrr's map_df	programming	purrr
Save time with RStudio code snippets	programming	Rstudio
Create dashboards	dataviz	flexdashboard
Automated code tests	programming, functions	testthat
Conditional values with case_when	data wrangling	dplyr
Create interactive scatter plots with taucharts	dataviz	taucharts

Sharon Machlis is Executive Editor, Data & Analytics at IDG, where she works on data analysis and in-house editor tools in addition to writing and editing. Her book Practical R for Mass Communication and Journalism was published in December 2018.