model_adjustment: Model Adjustemnt function using clinical factors

In FADHLyemen/lilikoi_Fadhl: Metabolomics personlaized pathway analysis tool

Description

This function for adjusted the best performed model using the clinical factors inserted by the user It plots ROC for three models: model1 build using only seelcted pathways, model2 build using clinical factors and model3 build using selected pathways and the clinical factors

Usage

model_adjustment(result, PDSmatrix, selected_Pathways_Weka,
  clinical_factors_data, factors)

Arguments

PDSmatrix	the PDS matrix geneerated using PDSfun function
selected_Pathways_Weka	selected pathway using WEKA algorithm geneerated from featuresSelection function
clinical_factors_data	the metadata for the samples
factors	which the users want to add to the model

Examples

model_adjustment(result,PDSmatrix,selected_Pathways_Weka,clinical_factors_data,factors=c('Age','Race'))
model_adjustment(result,PDSmatrix,selected_Pathways_Weka,clinical_factors_data,factors=c('Age','Race'))

FADHLyemen/lilikoi_Fadhl documentation built on Aug. 7, 2019, 5:28 a.m.