I am trying to apply a function which takes multiple inputs (which are columns which vary depending on the problem at hand) and applying this to list of data frames. I have taken the below code from this example: Map with Purrr multiple dataframes and have those modified dataframes as the output and modified it to include another metric of my choosing ('choice'). This code, however, throws an error:
Error in .f(.x[[i]], ...) : unused argument (choice = "disp").
Ideally, I would like to be able to create a grouped data frame (with group_by or split() and apply a function over the different groups within the data frame, however have not been able to work this out. Hence looking at a list of data frames instead.
mtcars2 <- mtcars
#change one variable just to distinguish them
mtcars2$mpg <- mtcars2$mpg / 2
#create the list
dflist <- list(mtcars,mtcars2)
#then, a simple function example
my_fun <- function(x)
{x <- x %>%
summarise(`sum of mpg` = sum(mpg),
`sum of cyl` = sum(cyl),
`sum of choice` = sum(choice))}
#then, using map, this works and prints the desired results
list_results <- map(dflist,my_fun, choice= "disp")