lets say, we use the dataframe mtcars and I would like to add the column qsec_control which is calculated as the mean(qsec) of all rows that don't have the same cyl as the current row (e.g. if cyl == 6, it would take mean(qsec[cyl != 6]) ). The question feels somewhat dumb, but I cant figure out how to do this.
Thanks in advance
CodePudding user response:
This solution groups by cyl
, then uses dplyr::cur_group_rows()
to index into mtcars$qsec
:
library(dplyr)
mtcars %>%
group_by(cyl) %>%
mutate(
qsec_control = mean(mtcars$qsec[-cur_group_rows()])
) %>%
ungroup()
# A tibble: 32 × 12
mpg cyl disp hp drat wt qsec vs am gear carb qsec_cont…¹
<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 17.8
2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 17.8
3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 17.2
4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 17.8
5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 18.7
6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 17.8
7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 18.7
8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 17.2
9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 17.2
10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 17.8
# … with 22 more rows, and abbreviated variable name ¹qsec_control
CodePudding user response:
Using data.table
's :=
, apply the function you had in mind to each of unique value of mtcars$cyl
using lapply()
.
library(data.table)
data(mtcars)
setDT(mtcars)
lapply(unique(mtcars$cyl),
function(x) {mtcars[cyl == x, qsec_control := mean(mtcars[cyl != x, mean(qsec)])]})
mtcars
mpg cyl disp hp drat wt qsec vs am gear carb qsec_control
1: 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 17.81280
2: 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 17.81280
3: 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 17.17381
4: 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 17.81280
5: 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 18.68611
28: 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 17.17381
29: 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 18.68611
30: 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 17.81280
31: 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 18.68611
32: 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 17.17381
mpg cyl disp hp drat wt qsec vs am gear carb qsec_control