Function that plots the ROCs of the surrogates of all the available surrogate models as plotly sub-plots
roc_surro_subplots(surrogates, bin_phenotypes)
Arguments
surrogates: numeric data.frame containing the surrogate values by Bizzarri et al.
bin_phenotypes: numeric data.frame with the binarized phenotypes output of binarize_all_pheno
Returns
plotly image with all the ROCs for all the available clinical variables
Examples
library(pROC)library(plotly)library(MiMIR)#load the datasetmet <- synthetic_metabolic_dataset
phen<- synthetic_phenotypic_dataset
#Calculating the binarized surrogatesb_phen<-binarize_all_pheno(phen)#Apply a surrogate models and plot the ROC curvesurr<-calculate_surrogate_scores(met, phen, MiMIR::PARAM_surrogates, colnames(b_phen))roc_surro_subplots(surr$surrogates, b_phen)