roc_surro: roc_surro

In DanieleBizzarri/MiMIR: Metabolomics-Based Models for Imputing Risk

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)

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

Value

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")

DanieleBizzarri/MiMIR documentation built on March 1, 2023, 11:02 p.m.