Reputation: 11
I am trying to use a list in a mutate, please see below:
Grouping <- c('f_risk_code', 'f_risk_category')
Pasting <- c('f_risk_code, f_risk_category')
Then using it in here:
Nested_Train %>%
mutate(Category = paste0(glue_col(Pasting), sep='_'))
But this is not having the desired effect - it is just returning f_risk_code', 'f_risk_category as the Category instead of the actual risk code and risk category fields. Any help appreciated.
Upvotes: 0
Views: 311
Reputation: 11
This was the solution for me: Try something like:
cols <- rlang::exprs(hp, cyl); mtcars %>% mutate(out=paste(!!!cols, sep="_"))
Upvotes: 0
Reputation: 887048
With tidyverse
, we can use invoke
library(dplyr)
library(purrr)
Nested_Train %>%
mutate(Category = invoke(paste0, .[Pasting]))
Upvotes: 1
Reputation: 388897
You can use do.call
:
library(dplyr)
Nested_Train %>% mutate(Category = do.call(paste0, .[Pasting]))
Upvotes: 1