“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
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.