naniar
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Published
20 hours ago •
njtierney
njtierney
replace_with_na_where doesn't like anonymous functions
Using a function in replace_with_na_where doesn't really work.
library(naniar)
is_zero <- function(x) x == 0
replace_with_na_where(mtcars, cyl = cyl == 6, vs = is_zero)
#> Warning in is.na(x): is.na() applied to non-(list or vector) of type
#> 'closure'
#> Error in x[is.na(x)] <- TRUE: object of type 'closure' is not subsettable
From what I've seen going through the code, this is because replace_with_na_where doesn't evaluate the function when you use eval_tidy. I'm not sure how to fix that, but perhaps @lionel- might have some insight?
Could you point me to some code or to a reprex? When you evaluate a function you get that function, only symbols and calls (i.e. symbolic objects) evaluate to something else then themselves.
Hi @lionel- , sorry, the code is in this branch - https://github.com/njtierney/naniar/tree/scoped-replace-to-na, and the replace_with_na_where function lives in the scoped-replace-to-na and the reprex above should provide that error, I believe.
I think this function is best covered now by case_when
library(naniar)
library(tidyverse)
mtcars <- as_tibble(mtcars)
mtcars
#> # A tibble: 32 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> # ℹ 22 more rows
is_zero <- function(x) x == 0
mtcars %>%
mutate(
cyl = case_when(
cyl == 6 ~ NA,
.default = cyl
),
vs = case_when(
is_zero(vs) ~ NA,
.default = vs
)
)
#> # A tibble: 32 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 NA 160 110 3.9 2.62 16.5 NA 1 4 4
#> 2 21 NA 160 110 3.9 2.88 17.0 NA 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 NA 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 NA 0 3 2
#> 6 18.1 NA 225 105 2.76 3.46 20.2 1 0 3 1
#> 7 14.3 8 360 245 3.21 3.57 15.8 NA 0 3 4
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 10 19.2 NA 168. 123 3.92 3.44 18.3 1 0 4 4
#> # ℹ 22 more rows
Created on 2023-04-24 with reprex v2.0.2
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