I'm cleaning a dataset and I need to recode a variable, DebtRatio, to have the value NA when MonthlyIncome has a value of NA. By default this is not true and thus the values which have NA are giving crazy values for DebtRatio (naturally). However these cases have a variety of other interesting information so I dont wish to remove them completely. Simply recode the values of these cases to NA.
However when I run my script, it doesnt seem to behave the way I want. I dont receive an error in the terminal but the values dont change at all.
credit_train_18$DebtRatio[credit_train_18$MonthlyIncome == NA] <- NA
This works when recoding my categorical variables so I'm not sure why it fails in this particular case.
I would really appreciate a solution to this problem
You should use is.na() rather than checking for equality.
credit_train_18$DebtRatio[is.na(credit_train_18$MonthlyIncome)] <- NA
Your approach is problematic because NA == NA returns NA rather than TRUE.
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