README.md

In n8thangreen/superager.penalised.regn: What the Package Does (One Line, Title Case)

Superager penalised regression analysis

This is an analysis of the superager data set using elastic net regression in R. File names with caret or glmnet refer to the package used to do the analysis. caret is a wrapper package that includes glmnet but it doesn't have all of the functionality so using glmnet gives more flexibility to modify how the modelling is performed.

The contents of the repo are:

• Data prep: These scripts clean and rearrange the data before analyses.
• prep_data.R: Rearrange and filter data before main analysis.
• prep_morphometric.R: Equivalent to MRI prep.
• rm_poor_quality.R: Given a list of 3T patient to remove.
• clean_sa_raw_data.R: Given a list of patients to include that were missing from the original dataset.

• create_xover_3T_7T_samples.R: Match patient between 3T and 7T.

• Analysis: Elastic net regression model fitting using either caret or glmnet packages.

• elasticnet_caret_networkonly.R
• elasticnet_glmnet_morphometic.R
• elasticnet_caret_networkonly.R

• elasticnet_glmnet_morphometric.R

• Output: Plots and stats.

• output_plots_caret.R
• output_caret_performance_stats_plots.R
• output_glmnet_performance_stats_plots.R

n8thangreen/superager.penalised.regn documentation built on March 1, 2023, 12:46 p.m.