I have the following structure of the data with all variables being in the string format:
v1 v2 c1 c2 c1c2
00035A 943567 00088
There are several ways in which you can do this:
1: with ifelse statements in base R:
df$v1 <- ifelse(df$v1==df$c1, df$c1c2, df$v1)
df$v2 <- ifelse(df$v2==df$c2, df$c1c2, df$v2)
2: or with subsetting assignments:
df[df$v1==df$c1,"v1"] <- df[df$v1==df$c1,"c1c2"]
df[df$v2==df$c2,"v2"] <- df[df$v2==df$c2,"c1c2"]
3: or with the data.table package:
library(data.table)
setDT(df)[v1==c1, v1 := c1c2][v2==c2, v2 := c1c2]
each of these solutions gives the following result:
> df
v1 v2 c1 c2 c1c2
1: 00035A 943567 00088E 63968E 00088E;63968E
2: 00088E;63968E 00088E;63968E 00088E 63968E 00088E;63968E
3: 00088E;63968E 925524 00088E 63968E 00088E;63968E
4: 000361 237924 00088E 63968E 00088E;63968E
5: 000361 83367A 00088E 63968E 00088E;63968E
6: 00055X 49328R 00088E 63968E 00088E;63968E
7: 00056N 87885Q 00088E 63968E 00088E;63968E
8: 000794 69911G 00088E 63968E 00088E;63968E
9: 23792A 001674 00088E 63968E 00088E;63968E
10: 63968E 17275R 00088E 63968E 00088E;63968E