> descr(iris, "Species", group_labels = list(setosa = "My custom group label"),
+ var_options = list(Sepal.Length = list(label = "My custom variable label"))) %>%
+   print(print_format = "numeric")
# A tibble: 40 x 7
   Variable     `My custom group ~ versicolor virginica   Total         p Test  
   <chr>                     <dbl>      <dbl>     <dbl>   <dbl>     <dbl> <chr> 
 1  My custom ~             NA         NA        NA      NA      1.67e-31 F-tes~
 2    N                     50         50        50     150     NA        <NA>  
 3    Nmiss                  0          0         0       0     NA        <NA>  
 4    mean                   5.01       5.94      6.59    5.84  NA        <NA>  
 5    sd                     0.352      0.516     0.636   0.828 NA        <NA>  
 6    median                 5          5.9       6.5     5.8   NA        <NA>  
 7    Q1                     4.8        5.6       6.2     5.1   NA        <NA>  
 8    Q3                     5.2        6.3       6.9     6.4   NA        <NA>  
 9    min                    4.3        4.9       4.9     4.3   NA        <NA>  
10    max                    5.8        7         7.9     7.9   NA        <NA>  
11  Sepal.Widt~             NA         NA        NA      NA      4.49e-17 F-tes~
12    N                     50         50        50     150     NA        <NA>  
13    Nmiss                  0          0         0       0     NA        <NA>  
14    mean                   3.43       2.77      2.97    3.06  NA        <NA>  
15    sd                     0.379      0.314     0.322   0.436 NA        <NA>  
16    median                 3.4        2.8       3       3     NA        <NA>  
17    Q1                     3.2        2.5       2.8     2.8   NA        <NA>  
18    Q3                     3.7        3         3.2     3.3   NA        <NA>  
19    min                    2.3        2         2.2     2     NA        <NA>  
20    max                    4.4        3.4       3.8     4.4   NA        <NA>  
21  Petal.Leng~             NA         NA        NA      NA      2.86e-91 F-tes~
22    N                     50         50        50     150     NA        <NA>  
23    Nmiss                  0          0         0       0     NA        <NA>  
24    mean                   1.46       4.26      5.55    3.76  NA        <NA>  
25    sd                     0.174      0.470     0.552   1.77  NA        <NA>  
26    median                 1.5        4.35      5.55    4.35  NA        <NA>  
27    Q1                     1.4        4         5.1     1.6   NA        <NA>  
28    Q3                     1.6        4.6       5.9     5.1   NA        <NA>  
29    min                    1          3         4.5     1     NA        <NA>  
30    max                    1.9        5.1       6.9     6.9   NA        <NA>  
31  Petal.Widt~             NA         NA        NA      NA      4.17e-85 F-tes~
32    N                     50         50        50     150     NA        <NA>  
33    Nmiss                  0          0         0       0     NA        <NA>  
34    mean                   0.246      1.33      2.03    1.20  NA        <NA>  
35    sd                     0.105      0.198     0.275   0.762 NA        <NA>  
36    median                 0.2        1.3       2       1.3   NA        <NA>  
37    Q1                     0.2        1.2       1.8     0.3   NA        <NA>  
38    Q3                     0.3        1.5       2.3     1.8   NA        <NA>  
39    min                    0.1        1         1.4     0.1   NA        <NA>  
40    max                    0.6        1.8       2.5     2.5   NA        <NA>  

