Revision history [back]
 | 1 | initial version |
You can use the is.na() function to identify the missing values in vector A and then use the logical index to replace the missing values with the corresponding values from vector B. At the same time, you can set those values in vector B to NA using the same logical index. Here is an example:
# Example vectors
A <- c(1, 2, NA, 4, NA, 6)
B <- c(10, 20, 30, 40, 50, 60)
# Identify missing values in A
missing_A <- is.na(A)
# Replace missing values in A with values from B and set corresponding values in B to NA
B[missing_A] <- NA
A[missing_A] <- B[missing_A]
# Print result
A
# [1] 1 2 30 4 50 6
B
# [1] 10 20 NA 40 NA 60
In this example, the missing values in vector A are replaced with the corresponding values from vector B (30 and 50), while those values in vector B are set to NA.