I was wondering if it was possible to set the names of elements of a list at the end of a pipeline code.
data <- input_vars %>%
purrr::map(get_data)
names(data) <- input_vars
Currently I pass a string of variables into a function which retrieves a list of dataframes. Unfortunately this list does not automatically have named elements, but I add them "manually" afterwards. In order to improve readability I would like to have something as follows
data <- input_vars%>%
purrr::map(get_comm_data) %>%
setnames(input_vars)
However, this gives me the following error: Error in setnames(., input_vars) : x is not a data.table or data.frame
Does someone have an elegant solution to this?
Any help is appreciated!
To set names of an object in a pipeline, use setNames or purrr::set_names
1:3 %>%
purrr::map(~ rnorm(5, .x)) %>%
purrr::set_names(paste0('V', 1:3))
#> $V1
#> [1] 1.4101568 2.0189473 1.0042691 1.4561920 0.8683156
#>
#> $V2
#> [1] 2.0577889 2.4805984 1.4519552 0.9438844 0.4097615
#>
#> $V3
#> [1] 0.4065113 4.0044538 2.8644864 2.4632038 4.0581380
1:3 %>%
purrr::map(~ rnorm(5, .x)) %>%
setNames(paste0('V', 1:3))
#> $V1
#> [1] 0.52503624 0.69096126 0.08765667 0.97904520 0.29317579
#>
#> $V2
#> [1] 2.561081 1.535689 1.681768 2.739482 1.842833
#>
#> $V3
#> [1] 2.619798 1.341227 2.897310 2.860252 1.664778
With purrr::map you could also name your input_vars as map keep names.
c(V1 = 1, V2 = 2, V3 = 3) %>%
purrr::map(~ rnorm(5, .x))
#> $V1
#> [1] 1.74474389 1.69347668 -1.03898393 0.09779935 0.95341349
#>
#> $V2
#> [1] 1.5993430 0.8684279 1.6690726 2.9890697 3.8602331
#>
#> $V3
#> [1] 3.453653 3.392207 2.734143 1.256568 3.692433