Thousand separator (i.e ",")

[linusgun]

Describe the new feature
Most of the time when I am dealing with number of the range of thousands, reducing that numbers with scientific notation is too much, so having a thousand separator would improve the readiness of that numbers.

Known workaround
I am just accepting as it is.

[DanChaltiel]

Good idea!
I'm not sure how I can do that simply though, because number formatting is buried far inside the functions.

In the meantime, you could also use custom functions like this:

library(tidyverse)
library(crosstable)
f = scales::label_dollar(accuracy=0.1, prefix="")
iris %>% 
  select(starts_with("Sepal")) %>% 
  mutate_all(~.x*10000) %>% 
  crosstable(funs=c(mean=\(x) f(mean(x)), sd=\(x) f(sd(x))))
#> # A tibble: 4 x 4
#>   .id          label        variable value   
#>   <chr>        <chr>        <chr>    <chr>   
#> 1 Sepal.Length Sepal.Length mean     58,433.3
#> 2 Sepal.Length Sepal.Length sd       8,280.7 
#> 3 Sepal.Width  Sepal.Width  mean     30,573.3
#> 4 Sepal.Width  Sepal.Width  sd       4,358.7

^{Created on 2023-07-21 with reprex v2.0.2}

[linusgun]

I just realized that it doesn't work for counting categorical variables:

f = scales::label_dollar(accuracy=0.1, prefix="")
iris %>% 
  slice(rep(1:n(), each = 100)) %>% 
  select(Species) %>% 
  crosstable(funs=c(count=\(x) f(count(x))))

# A tibble: 3 × 4
  .id     label   variable   value        
  <chr>   <chr>   <chr>      <chr>        
1 Species Species setosa     5000 (33.33%)
2 Species Species versicolor 5000 (33.33%)
3 Species Species virginica  5000 (33.33%)

[DanChaltiel]

funs is for control over numeric variables.
IMHO, it wouldn't make much sense to harmonize formatting on numeric and categorical variables.
For categorical variables, you cannot have as much control but you can still use percent_digits and percent_pattern.
For instance:

iris %>% 
   slice(rep(1:n(), each = 100)) %>% 
   select(Species) %>% 
   crosstable(percent_pattern="N={n} (P={p_col})", 
              percent_digits=1)
# A tibble: 3 x 4
  .id     label   variable   value           
  <chr>   <chr>   <chr>      <chr>           
1 Species Species setosa     N=5000 (P=33.3%)
2 Species Species versicolor N=5000 (P=33.3%)
3 Species Species virginica  N=5000 (P=33.3%)