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Vanilla hot-deck

Hot-deck imputation is a simple method that replaces every missing value in a variable by the last observed value in this variable. It's very fast, as only one pass through the data is needed, but in its simplest form, hot-deck may sometimes break relations between the variables.

In this exercise, you will try it out on the tao dataset. You will hot-deck-impute missing values in the air temperature column air_temp and then draw a margin plot to analyze the relation between the imputed values with the sea surface temperature column sea_surface_temp. Let's see how it works!

This exercise is part of the course

Handling Missing Data with Imputations in R

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Load VIM package
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Edit and Run Code