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Written by Matt Dancho
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:
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.
That was ridiculously easy. Keep it up & you’ll become a tidyverse rockstar.
Great! But, you need to learn a lot to become an R programming wizard.
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