The data I have is almost similar to the data below.

A=01-03
B=04-06
C=07-09
D=10-11

      data<-read.table (text=" ID   Class   Time1   Time2   Time3
        1   1   1   3   3
        2   1   4   3   2
        3   1   2   2   2
        1   2   1   4   1
        2   3   2   1   1
        3   2   3   2   3
        1   3   1   1   2
        2   2   4   3   1
        3   3   3   2   1
        1   1   4   3   2
        2   1   2   2   2
        3   2   1   4   1
    
        ", header=TRUE)

I want to create 2 columns right after the Class column, i.e. the Bin and Zero columns based on A, B, C and D and IDs.
Therefore A goes to IDs 1,2, and 3. B goes to the next IDs, i.e., 1,2 and 3, and C goes to the next IDs, i.e., 1,2,3 and so on. Column Zero gets only numbers zeros. So the outcome would be:

     ID Class   Bin Zero    Time1   Time2   Time3
        1   1   01-03   0   1   3   3
        2   1   01-03   0   4   3   2
        3   1   01-03   0   2   2   2
        1   2   04-06   0   1   4   1
        2   3   04-06   0   2   1   1
        3   2   04-06   0   3   2   3
        1   3   07-09   0   1   1   2
        2   2   07-09   0   4   3   1
        3   3   07-09   0   3   2   1
        1   1   10-11   0   4   3   2
        2   1   10-11   0   2   2   2
        3   2   10-11   0   1   4   1

>Solution :

Please try the below code

library(tidyverse)

#use character vector with quotes
A='01-03'
B='04-06'
C='07-09'
D='10-11'

data<-read.table (text=" ID   Class   Time1   Time2   Time3
    1   1   1   3   3
    2   1   4   3   2
    3   1   2   2   2
    1   2   1   4   1
    2   3   2   1   1
    3   2   3   2   3
    1   3   1   1   2
    2   2   4   3   1
    3   3   3   2   1
    1   1   4   3   2
    2   1   2   2   2
    3   2   1   4   1

    ", header=TRUE)

#create a separate dataframe with bin column
data2 <- data.frame(bin=c(rep(A,3),rep(B,3),rep(C,3),rep(D,3))) 

data3 <- bind_cols(data, data2) %>% mutate(zero=0)