I was wondering on how to separate into two diffrent chunks of the dataframe, a big dataframa and then make the column binding in dplyr
I have use the following code
library(string)
new = cbind(mtcars[str_detect(mtcars$am, "0"),][1:13,],
mtcars[str_detect(mtcars$am, "1"),][,9:11])
But I am looking for something different and more efficient to use in a wrapping code with dplyr, forr example.
Do you mean something like this?
mtcars |>
filter(am == 0) |>
slice_head(n = 13) |>
bind_col(
filter(mtcars, am == 1)[, 9:11]
)
You can also use dplyr::select
to select 9th to 11th columns.
mtcars |> filter(am == 1) |> select(9:11)
Honestly, base R is efficient enough in this case.