You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello,
I noticed that the class of an object created by fgroup_by() includes "grouped_df".
This causes issues for users that have pretty much any tidyverse package loaded as many dplyr functions have methods for this class that don't work well with "GRP_df".
It might be safer to remove the "grouped_df" subclass, making the class c("GRP_df", "data.frame") though I'm not sure how much work that would entail for functions that depend on "GRP_df".
Please see the example below.
library(dplyr)
#> Warning: package 'dplyr' was built under R version 4.4.1#> #> Attaching package: 'dplyr'#> The following objects are masked from 'package:stats':#> #> filter, lag#> The following objects are masked from 'package:base':#> #> intersect, setdiff, setequal, union
library(collapse)
#> collapse 2.0.16, see ?`collapse-package` or ?`collapse-documentation`#> #> Attaching package: 'collapse'#> The following object is masked from 'package:stats':#> #> Ddf<- fgroup_by(iris, Species)
names(df) <- names(iris)
#> Error in `group_data()`:#> ! `.data` must be a valid <grouped_df> object.#> Caused by error in `validate_grouped_df()`:#> ! The `groups` attribute must be a data frame.
ss(df, 1:5)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species#> 1 5.1 3.5 1.4 0.2 setosa#> 2 4.9 3.0 1.4 0.2 setosa#> 3 4.7 3.2 1.3 0.2 setosa#> 4 4.6 3.1 1.5 0.2 setosa#> 5 5.0 3.6 1.4 0.2 setosa#> #> Grouped by: Species [3 | 50 (0)]
Thanks, but this is by design, allowing collapse to also handle grouped data frames created with dplyr. I wasn't aware of the names issue and have never encountered it myself. In that case you may have to use `attr(iris, "names") <- ...".
Hello,
I noticed that the class of an object created by
fgroup_by()
includes "grouped_df".This causes issues for users that have pretty much any tidyverse package loaded as many dplyr functions have methods for this class that don't work well with "GRP_df".
It might be safer to remove the "grouped_df" subclass, making the class
c("GRP_df", "data.frame")
though I'm not sure how much work that would entail for functions that depend on "GRP_df".Please see the example below.
Created on 2024-10-19 with reprex v2.1.1
The text was updated successfully, but these errors were encountered: