MiMIR (version 1.5)

roc_surro: roc_surro

Description

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

Usage

roc_surro(surrogates, bin_phenotypes, x_name)

Value

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

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

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")