Editing and imputation in R

Open to
All staff in the Government Statistical Service
Training category
Type of training
4 to 6 hours
Analysis Function Capability Team
Analysis Function Capability Team


This is a short course and aims to covers the practical application of editing and imputation in R. This course doesn’t cover the theory of any of the methods specified. The theory of these methods is covered in Awareness in Editing and Imputation which is the prerequisite of this course.

Learning outcomes

By the end of the session, participants will be able to:

  • apply methods of reviewing data such as identifying missing values, visualising the pattern of missingness and finding duplicates in data in R
  • do automatic editing where you can apply restrictions, check which restrictions have been violated and correct those
  • impute missing value using model-based methods such as mean, ratio and regression imputation in R
  • impute missing values using donor-based imputation such as the random hot deck, sequential hot deck, hierarchical hot deck in R
  • impute missing value using KNN and predictive mean matching imputation in R

How to book

Please use your Learning Hub account to access the course online. Alternatively please contact gss.capability@statistics.gov.uk