CODEWITHSUNDEEP
rpredictionnamissing-datapredict
user3242036
user3242036

Reputation: 705

Predict Even When Missing Values for Regression Variables in R

I have the resulting regression coefficients in R from a training data set. I now want to use those and apply them to another data set to predict values, however some of the X/independent variables have N/A or missing values which is causing the prediction value to be N/A as well. What commands can I use so that the predict() command will still predict a value for that row even if some of the dependent variable information is missing?

Upvotes: 0

Views: 1753

Answers (1)

Sagar Dawda
Sagar Dawda

Reputation: 1166

You need to treat the missing values. Depending on what kind of data you are dealing with, you may impute the missing values accordingly. E.g. - If the column has data type of int, you could try to replace them with a Mean or Median value. If you could be more specific about the data you're dealing with, it will provide more clarity.

Upvotes: 2

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