speed issue in R computing: apply() vs a loop

April 23, 2008

(This article was first published on Yu-Sung Su's Blog, and kindly contributed to R-bloggers)

In R, apply() is NOT faster than a loop!!I don’t know where I pick up this perception about apply() being faster than a loop in R. For a long time, I always think that apply() runs a function (for example, mean()) on a data structure (row or column) in a single shot. So take the mean of each row in the same time. And a loop does it n.row or n.column times. So assuming running a single shot of

To leave a comment for the author, please follow the link and comment on their blog: Yu-Sung Su's Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

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


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)