How to use recode_factor in dplyr for recoding multiple factor values?
countrycode event
1713 ESP 110mh
1009 NED HJ
536 BLR LJ
2882 FRA 1500m
509 EST LJ
2449 BEL PV
1022 EST HJ
2530 USA JT
2714 CUB JT
1236 HUN 400m
238 BLR 100m
2518 USA JT
1575 FRA 110mh
615 JPN LJ
1144 GER HJ
596 CAN LJ
2477 HUN JT
1046 GER HJ
2501 FIN DT
2176 KAZ PV
I want to create a new factor vector in my data frame, eventtype, where:
Rows with 100m, 400m, 110mh, 1500m in the event variable become grouped as Runs; DT, SP, JT gets grouped as Throws; and LJ, HJ, PV, gets grouped as Jumps.
I can create a new vector value individually with something like df$eventtype <- recode_factor(df$event, `100m`="Running") works for one event, but I looked in the documentation and there isn't an easy way to convert multiple values in one function call.
Edit: of course if there is another function which serves my purposes better I will use that.
Answer
The ... argument of the recode_factor function can take any number of arguments...
library(dplyr)
df <- read.table(header = T, text = "
number countrycode event
1713 ESP 110mh
1009 NED HJ
536 BLR LJ
2882 FRA 1500m
509 EST LJ
2449 BEL PV
1022 EST HJ
2530 USA JT
2714 CUB JT
1236 HUN 400m
238 BLR 100m
2518 USA JT
1575 FRA 110mh
615 JPN LJ
1144 GER HJ
596 CAN LJ
2477 HUN JT
1046 GER HJ
2501 FIN DT
2176 KAZ PV
")
df$eventtype <- recode_factor(df$event, `100m` = "Runs", `400m` = "Runs",
`110mh` = "Runs", `1500m` = "Runs",
DT = "Throws", SP = "Throws", JT = "Throws",
LJ = "Jumps", HJ = "Jumps", PV = "Jumps")
# or inside a mutate command
df %>%
mutate(eventtype = recode_factor(event, `100m` = "Runs", `400m` = "Runs",
`110mh` = "Runs", `1500m` = "Runs",
DT = "Throws", SP = "Throws", JT = "Throws",
LJ = "Jumps", HJ = "Jumps", PV = "Jumps"))