My goal is to create a binary variable (k) that turns 1 if in any column between mpg and wt the values 3.90 and/or 160.0 appears.
Code
library(tidyverse)
mtcars<-mtcars%>%
mutate(k=ifelse(mpg:wt==3.90|mpg:wt==160.0,1,0))
Result
Error in `mutate()`:
ℹ In argument: `k = ifelse(mpg:wt == 3.9 | mpg:wt == 160, 1, 9)`.
Caused by error:
! `k` must be size 32 or 1, not 19.
Maybe you can play rowSums like below
mtcars %>%
mutate(k = +(rowSums(across(mpg:wt, ~ .x %in% c(3.9, 160))) > 0))
such that
> mtcars %>%
+ mutate(k = +(rowSums(across(mpg:wt, ~ .x %in% c(3.9, 160))) > 0))
mpg cyl disp hp drat wt qsec vs am gear carb k
Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 1
Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 1
Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 0
Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 0
Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 0
Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 0
Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 0
Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 0
Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 0
Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 0
Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 0
Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 0
Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 0
Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 0
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 0
Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 0
Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 0
Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 0
Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 0
Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 0
Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 0
Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 0
AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 0
Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 0
Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 0
Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 0
Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 0
Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 0
Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 0
Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 0
Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 0
Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 0
1) rowwise/any Proceeding row by row check if any of the columns are in the key values and convert to numeric.
library(dplyr)
mtcars%>%
rowwise %>%
mutate(k = +any(c_across(mpg:wt) %in% c(3.90, 160.0))) %>%
ungroup
2) if_any if_any applies the function specified in the second argument to each column and then takes the or of the columns row-wise.
mtcars %>% mutate(k = +if_any(mpg:wt, ~ .x %in% c(3.9, 160.0)))
It could also be written like this:
mtcars %>% mutate(k = +if_any(mpg:wt, `%in%`, c(3.9, 160.0)))
