Dealing with Missing values in R
It is a big obstacle to deal with missing values during data analysis. Missing values can occur for a number of reasons like skipped response, incomplete data entry, lost files, data malfunctions, etc. These missing values have consequences like biased analysis, model instability, incorrect inference, and loss of information, and they mostly reduce the statistical …