R Stats: Imputation with no Magic

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This video is a short Appendix to the previous lesson, which discussed the preparation of data for predictive modelling and relied on a simple imputation of missing values with the variable mean or median values, using the "Hmisc" library. This video explains how to implement exactly the same imputation method in a few simple lines of R code, entirely from scratch. As always, the lesson is informal and avoids heavy duty statistical concepts.

The data for this and the previous lesson can be obtained from the UCI Machine Learning Repository:

The R source code for this video can be found here (some small discrepancies are possible):

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Since this video was created the UCI Machine Learning repository moved to the new location. What it means is that the web location shown in the script is not working. However, I have updated the link to the lesson data in the video description.

ironfrown

R Stats: Imputation with no Magic

R Stats: Imputation with no Magic

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