# selection works with grouped data frames (#2624) Code out <- mutate_if(gdf, is.factor, as.character) Message `mutate_if()` ignored the following grouping variables: * Column `Species` # colwise mutate gives meaningful error messages Code (expect_error(mutate_at(tibble(), "test", ~1))) Output <error/vctrs_error_subscript_oob> Error in `mutate_at()`: ! Can't subset columns that don't exist. x Column `test` doesn't exist. Code tbl <- tibble(gr1 = rep(1:2, 4), gr2 = rep(1:2, each = 4), x = 1:8) tbl <- group_by(tbl, gr1) (expect_error(summarise_at(tbl, vars(gr1), mean))) Output <error/vctrs_error_subscript_oob> Error in `summarise_at()`: ! Can't subset columns that don't exist. x Column `gr1` doesn't exist. Code (expect_error(mutate_all(mtcars, length, 0, 0))) Output <error/dplyr:::mutate_error> Error in `mutate()`: ! Problem while computing `mpg = .Primitive("length")(mpg, 0, 0)`. Caused by error: ! 3 arguments passed to 'length' which requires 1 Code (expect_error(mutate_all(mtcars, mean, na.rm = TRUE, na.rm = TRUE))) Output <error/dplyr:::mutate_error> Error in `mutate()`: ! Problem while computing `mpg = (function (x, ...) ...`. Caused by error in `mean.default()`: ! formal argument "na.rm" matched by multiple actual arguments
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