Recode continuous variable in R based on conditions - r

Question

I want to "translate" a syntax written in SPSS into R code but am a total beginner in R and struggling to get it to work.
The SPSS syntax is
DO IF (Geschlecht = 0).
RECODE hang0 (SYSMIS=SYSMIS) (Lowest thru 22.99=0) (23 thru 55=1) (55.01 thru Highest=2)
INTO Hang.
ELSE IF (Geschlecht = 1).
RECODE hang0 (SYSMIS=SYSMIS) (Lowest thru 21.99=0) (22 thru 54=1) (54.01 thru Highest=2)
INTO Hang.
END IF.
I have installed the "car"-package in R but I neither get the "range" recoding to work (I have tried
td_new$Hang <- recode(td_new$hang0, "0:22.99=0; 23:55=1; else=2")
nor do I manage to work with the if-else-function. My last attempt was
if(td_new$Geschlecht == 0){
td_new$Hang <- td_new$hang0 = 3
} else if (td_new$Geschlecht == 1) {
td_new$Hang <- td_new$hang0 = 5)
} else
td_new$hang0 <- NA
(this was without the recoding, just to test the if-else function).
Would be very happy if someone helped!
Thanks a lot in advance :)!
Sorry, edited to add:
The data structure looks as follows:
Geschlecht hang0
0 15
1 45
1 7
0 11
And I want to recode hang0 such that
for boys (Geschlecht = 0): all values < 23 = 0, values between 23 and 55 = 1, all values > 55 = 2
and for girls (Geschlecht = 1): all values < 22 = 0, values between 23 and 54 = 1, all values > 54 = 2

Answer 1

Here's an approach with case_when:
library(dplyr)
td_new %>%
mutate(Hang = case_when(Geschlecht = 0 & hang0 < 23 ~ 0,
Geschlecht = 0 & hang0 >= 23 & hang0 < 55 ~ 1,
Geschlecht = 0 & hang0 >= 55 ~ 2,
Geschlecht = 1 & hang0 < 22 ~ 0,
Geschlecht = 1 & hang0 >= 22 & hang0 < 54 ~ 1,
Geschlecht = 1 & hang0 >= 54 ~ 2,
TRUE ~ NA_real_))
# Geschlecht hang0 Hang
#1 0 15 0
#2 1 45 1
#3 1 7 0
#4 0 11 0
The final line is there to catch NAs.
Data
td_new <- structure(list(Geschlecht = c(0L, 1L, 1L, 0L), hang0 = c(15L, 45L, 7L, 11L)), class = "data.frame", row.names = c(NA, -4L))