Editing and imputation in R

Open to
All staff in the Government Statistical Service
Training category
Analytical
Type of training
Online
Length
4 to 6 hours
Organiser
Analysis Function Capability Team
Provider
Analysis Function Capability Team
Location
Online

Description

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 Editing and imputation in R online.

If you do not have a Learning Hub account, please contact gss.capability@statistics.gov.uk