How to impute missing values with row mean in R

Question

From a large data frame, I have extracted a row of numeric data and saved as a vector. Some of the values are missing and marked as NA. I want to impute the missing values w

Answer 1

Use this:

filter <- is.na(myVec)

myVec[filter] <- colMeans(myDF[,filter], na.rm=TRUE)

Where myVec is your vector and myDF is your data.frame.