Christopher Ryan sent this example c(1:10) %>% sqrt() %>% mean() %>% plot() I could code this as
A <- c(1:10) B <- sqrt(A) C<- mean(B) plot(C) I can then clean up by removing variables that I have no further use for. rm(A, B, C) The %>% operator is from the magriter package. It can be installed directly, or it is also installed if you use the tidyverse package (and possibly many others). The |> is base R, but it was added in R version 4.1.0. I do not know if it increases processing speed. It can save memory usage, especially if one is a messy programmer and does not tidy up after each task. If you wanted to test execution times for bits of code there is the microbenchmark package. Tim -----Original Message----- From: Sorkin, John <jsor...@som.umaryland.edu> Sent: Tuesday, January 3, 2023 12:13 PM To: Ebert,Timothy Aaron <teb...@ufl.edu>; 'R-help Mailing List' <r-help@r-project.org> Subject: Re: Pipe operator [External Email] Tim, Thank you for your reply. I did not know about the |> operator. Do both %>% and |> work in base R? You suggested that the pipe operator can produce code with fewer variables. May I ask you to send a short example in which the pipe operator saves variables. Does said saving of variables speed up processing or result in less memory usage? Thank you, John ________________________________________ From: Ebert,Timothy Aaron <teb...@ufl.edu> Sent: Tuesday, January 3, 2023 12:07 PM To: Sorkin, John; 'R-help Mailing List' Subject: RE: Pipe operator The pipe shortens code and results in fewer variables because you do not have to save intermediate steps. Once you get used to the idea it is useful. Note that there is also the |> pipe that is part of base R. As far as I know it does the same thing as %>%, or at my level of programing I have not encountered a difference. Tim -----Original Message----- From: R-help <r-help-boun...@r-project.org> On Behalf Of Sorkin, John Sent: Tuesday, January 3, 2023 11:49 AM To: 'R-help Mailing List' <r-help@r-project.org> Subject: [R] Pipe operator [External Email] I am trying to understand the reason for existence of the pipe operator, %>%, and when one should use it. It is my understanding that the operator sends the file to the left of the operator to the function immediately to the right of the operator: c(1:10) %>% mean results in a value of 5.5 which is exactly the same as the result one obtains using the mean function directly, viz. mean(c(1:10)). What is the reason for having two syntactically different but semantically identical ways to call a function? Is one more efficient than the other? Does one use less memory than the other? P.S. Please forgive what might seem to be a question with an obvious answer. I am a programmer dinosaur. I have been programming for more than 50 years. When I started programming in the 1960s the only pipe one spoke about was a bong. John ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-help&data=05%7C01%7Ctebert%40ufl.edu%7Cfa39e74a28354e3b3f6c08daedadd2ab%7C0d4da0f84a314d76ace60a62331e1b84%7C0%7C0%7C638083628073049849%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qCK4H%2BtClknwzT9sQpQAUeei9I6dFz7vP904X0n39cw%3D&reserved=0 PLEASE do read the posting guide https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.r-project.org%2Fposting-guide.html&data=05%7C01%7Ctebert%40ufl.edu%7Cfa39e74a28354e3b3f6c08daedadd2ab%7C0d4da0f84a314d76ace60a62331e1b84%7C0%7C0%7C638083628073049849%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2F75VhIpUPDD1VjEHWJ5HBKcQO6cYciTJSMPJ9nETmMQ%3D&reserved=0 and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
