I am trying to learn some basic purrr. Take this toy example - how do I essentially append "rank" to the current variable name as it's created using map_df?
library(tidyverse)
# generate some random data
dat <- tibble(
x_1 = runif(10),
x_2 = runif(10),
x_3 = runif(10)
)
# find the ranks
dat <- cbind(dat, dat |> map_df(rank))
Currently the following is produced:
> dat
x_1 x_2 x_3 x_1 x_2 x_3
1 0.37593751 0.20597008 0.4826491 6 3 4
2 0.01805845 0.05432019 0.6732073 1 1 7
3 0.39243407 0.47535664 0.9920948 7 7 10
4 0.06361097 0.21624621 0.4309171 2 4 3
5 0.53391717 0.28778664 0.9323643 9 6 9
6 0.24612385 0.83270359 0.2719036 4 10 1
7 0.47170853 0.26261303 0.3418129 8 5 2
8 0.33821497 0.57270648 0.7606502 5 9 8
9 0.85717819 0.48097921 0.4848689 10 8 5
10 0.11503862 0.07063651 0.6391102 3 2 6
In general, this wouldn't be done with purrr, you'd just do it directly with mutate and across.
> dat |>
+ mutate(
+ across(
+ .cols = everything(),
+ .fns = ~rank(.x),
+ .names = "{.col}_rank"
+ )
+ )
# A tibble: 10 × 6
x_1 x_2 x_3 x_1_rank x_2_rank x_3_rank
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 0.595 0.951 0.00114 9 10 1
2 0.103 0.232 0.0796 2 1 2
3 0.420 0.546 0.129 8 4 4
4 0.302 0.774 0.995 7 8 10
5 0.713 0.754 0.944 10 7 9
6 0.182 0.483 0.908 5 3 8
7 0.297 0.744 0.122 6 6 3
8 0.150 0.640 0.804 4 5 6
9 0.0747 0.820 0.199 1 9 5
10 0.145 0.470 0.849 3 2 7