Media Summary: Using logistic regression to explore variables that predict missingness. Running multiple imputation using the mice() package. Multivariate Statistics Module Lecture: Exploring Missing Data and Multiple Imputation Running an initial PCA and interpreting scree plot results. Then, comparing 1 and 4 component solutions, and comparing oblique ...
Multivariate Statistics In R Module 7 Demonstration Part 2 Working With Missing Data - Detailed Analysis & Overview
Using logistic regression to explore variables that predict missingness. Running multiple imputation using the mice() package. Multivariate Statistics Module Lecture: Exploring Missing Data and Multiple Imputation Running an initial PCA and interpreting scree plot results. Then, comparing 1 and 4 component solutions, and comparing oblique ... This is a more detailed explanation and practice of
