10 Must-Know Tidyverse Functions: #2 – across()

[This article was first published on business-science.io, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks.

The across() function was just released in dplyr 1.0.0. It’s a new tidyverse function that extends group_by and summarize for multiple column and function summaries.

Learn how to use across() to summarize data like a data wizard:

(Click image to play tutorial)

Why Across?

Across doesn’t do anything you can’t with normal group_by() and summarize(). So why across()? Simply put, across() allows you to scale up your summarization to multiple columns and multiple functions.

Across makes it easy to apply a mean and standard deviation to one or more columns. We just slect the columns and functions that we want to apply.

Tidyverse accross() function 1

Tidyverse accross() function 2

That was ridiculously easy. Keep it up & you’ll become a tidyverse rockstar.


You Learned Something New!

Great! But, you need to learn a lot to become an R programming wizard.

What happens after you learn R for Business from Matt ????

Tidyverse wizard

…And the look on your boss’ face after seeing your first Shiny App. ????


This is career acceleration.


  1. Sign Up to Get the R-Tips Weekly (You’ll get email notifications of NEW R-Tips as they are released): https://mailchi.mp/business-science/r-tips-newsletter

  2. Set Up the GitHub Repo: https://github.com/business-science/free_r_tips

  3. Check out the setup video (https://youtu.be/F7aYV0RPyD0). Or, Hit Pull in the Git Menu to get the R-Tips Code

Once you take these actions, you’ll be set up to receive R-Tips with Code every week. =)

To leave a comment for the author, please follow the link and comment on their blog: business-science.io.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)