tidyverse

June 21, 2019
By

[This article was first published on geocacheR, 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.

The tidyverse collection of packages is a suite of packages that simplifies a huge number of the commonest tasks I do in R. It’s become indispensable for me, and I’ll make heavy use of it.

I draw your attention to dplyr, one of the tidyverse packages. It provides a set of functions that makes manipulating data frames a lot neater. You can filter, select, sort, and create new columns in a much neater way than using R’s… esoteric… native syntax.

I strongly recommend visiting — and bookmarking — their website.

Here’s one example of how the clarity of a piece of code can improve. Suppose you want to subset the (inbuilt) iris data frame according to the width of the sepals and the length of the petals. In the traditional R way, you might write

iris[iris$Sepal.Width < 3.25 & iris$Petal.Length < 5, ]

But using dplyr, it’s

iris %>%
filter(Sepal.Width < 3.25) %>%
filter(Petal.Length < 5)

I will use filter, select, arrange, mutate from the dplyr package, crossing from the tidyr package, and many functions from the stringr package frequently.

To leave a comment for the author, please follow the link and comment on their blog: geocacheR.

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.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

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)