[ https://issues.apache.org/jira/browse/ARROW-16871?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17560669#comment-17560669 ]
Neal Richardson commented on ARROW-16871: ----------------------------------------- [~higgicd] would you like to make a pull request to implement this? I think it will be straightforward if you follow the examples of other function bindings (like https://github.com/apache/arrow/blob/master/r/R/dplyr-funcs-math.R#L71-L74 code and https://github.com/apache/arrow/blob/master/r/tests/testthat/test-dplyr-funcs-math.R tests). > [R] Implement exp() and sqrt() in Arrow dplyr queries > ----------------------------------------------------- > > Key: ARROW-16871 > URL: https://issues.apache.org/jira/browse/ARROW-16871 > Project: Apache Arrow > Issue Type: New Feature > Components: R > Affects Versions: 8.0.0 > Environment: Windows 10, R 4.2.0, RStudio 2022.02.3 Build 492 > Reporter: Chris Higgins > Priority: Major > Labels: good-first-issue > Fix For: 9.0.0 > > > The change log for v8.0.0 notes that functions like exp(), log() and sqrt() > can be used in R. I have been trying to calculate exp(x) on a field in a > dataset, but this does not work. I _can_ calculate exp(10) on just some > number, and I can raise to e manually (2.71828^(x)). Here's some basic > reproducible code: > {code:java} > ```{r} > test_df <- data.frame(x = c(1, 2, 3, 4, 5), y = c(1, 2, 3, 4, 5)) > write_dataset(test_df, "./test_ds") > test_ds <- open_dataset("./test_ds") > # does not work > test_ds %>% mutate(z = exp(x)) %>% collect() > # does work > test_ds %>% mutate(z = 2.71828^(x)) %>% collect() > # also works > test_ds %>% mutate(z = exp(10)) %>% collect() > ``` {code} > > -- This message was sent by Atlassian Jira (v8.20.10#820010)