Comments (1)
This example works in the development version of tidytable. I should have it on CRAN in about a week or so.
devtools::install_github("markfairbanks/tidytable")
library(tidytable, warn.conflicts = FALSE)
example_dt <- data.table::data.table(
"x col" = c(1,1,1),
"y col" = c(2,2,2),
"z col" = c("a", "a", "b"))
example_dt %>%
mutate_across.(where(is.numeric), as.character)
#> x col y col z col
#> 1: 1 2 a
#> 2: 1 2 a
#> 3: 1 2 b
Note there's a small change in syntax where you have to wrap predicates like is.numeric
with where(is.numeric)
. The old way will still work for a bit, but tidyselect
(which dplyr & tidytable both use) made this change in their newest version
from tidytable.
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from tidytable.