To make a table, you can use the omni_table() function.
This function takes two arguments, the data (which is usually piped into
the function as seen below) and a name for the table.
mtcars |>
# This is used because the `mtcars` data frame uses
# row names and we want to convert these into a variable
rownames_to_column(var = "car") |>
slice(1:5) |>
omni_table()car |
mpg |
cyl |
disp |
hp |
drat |
wt |
qsec |
vs |
am |
gear |
carb |
|---|---|---|---|---|---|---|---|---|---|---|---|
Mazda RX4 |
21.0 |
6 |
160 |
110 |
3.90 |
2.620 |
16.46 |
0 |
1 |
4 |
4 |
Mazda RX4 Wag |
21.0 |
6 |
160 |
110 |
3.90 |
2.875 |
17.02 |
0 |
1 |
4 |
4 |
Datsun 710 |
22.8 |
4 |
108 |
93 |
3.85 |
2.320 |
18.61 |
1 |
1 |
4 |
1 |
Hornet 4 Drive |
21.4 |
6 |
258 |
110 |
3.08 |
3.215 |
19.44 |
1 |
0 |
3 |
1 |
Hornet Sportabout |
18.7 |
8 |
360 |
175 |
3.15 |
3.440 |
17.02 |
0 |
0 |
3 |
2 |
The table will be created based on whatever data you pipe into the
omni_table() function. So, for example, if you wanted to
only include certain variables, you could do as follows:
mtcars %>%
rownames_to_column(var = "car") |>
slice(1:5) |>
select(car, mpg, hp) |>
omni_table()car |
mpg |
hp |
|---|---|---|
Mazda RX4 |
21.0 |
110 |
Mazda RX4 Wag |
21.0 |
110 |
Datsun 710 |
22.8 |
93 |
Hornet 4 Drive |
21.4 |
110 |
Hornet Sportabout |
18.7 |
175 |