I feel like this is a very simple question, I just can't figure it out. I have a dataset with about 60 rows and 40 columns. I would like to take a few columns and sum them according to each row to create a new column. What is the command for this?
Can you provide a reproducible example?
Otherwise, something like this using mtcars to get the sum for all of the columns that contain an 'a' in the name.
library(dplyr)
mtcars |>
rowwise() |>
mutate(test = sum(across(contains("a")))) |>
ungroup()
test = drat + am + gear + carb
# A tibble: 32 x 12
mpg cyl disp hp drat wt qsec vs am gear carb test
<dbl> <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 12.9
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 12.9
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 9.85
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 7.08
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 8.15
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 6.76
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 10.2
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 9.69
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 9.92
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 11.9
# i 22 more rows
# i Use `print(n = ...)` to see more rows