roc_surro function

roc_surro

Function that creates a ROC curve of the selected metabolic surrogates as a plotly image

roc_surro(surrogates, bin_phenotypes, x_name)

Arguments

• surrogates: numeric data.frame of metabolomics-based surrogate values by Bizzarri et al.
• bin_phenotypes: logic data.frame of binarized phenotypes
• x_name: vector of strings with the names of the selected binary phenotypes for the roc

Returns

plotly image with the ROC curves for one or more selected variables

Examples

require(pROC)
require(plotly)
require(foreach)
require(MiMIR)

#load the dataset
met <- synthetic_metabolic_dataset
phen<- synthetic_phenotypic_dataset

#Calculating the binarized surrogates
b_phen<-binarize_all_pheno(phen)
#Apply a surrogate models and plot the ROC curve
surr<-calculate_surrogate_scores(met, phen, MiMIR::PARAM_surrogates, colnames(b_phen))
#Plot the ROC curves
roc_surro(surr$surrogates, b_phen, "sex")