MiMIR (version 1.5)

ttest_surrogates: ttest_surrogates

Description

Function that calculates a t-test and a plotly image of the selected surrogates

Usage

ttest_surrogates(surrogates, bin_phenotypes)

Value

plotly image with all the ROCs for all the available clinical variables

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

Details

Barplot and T-test indicating if the surrogate variables could split accordingly the real value of the binary clinical variables.

Examples

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

#load the dataset
m <- synthetic_metabolic_dataset
p <- synthetic_phenotypic_dataset

#Calculating the binarized surrogates
b_p<-binarize_all_pheno(p)
#Apply a surrogate models and plot the ROC curve
surr<-calculate_surrogate_scores(met=m, pheno=p, MiMIR::PARAM_surrogates, bin_names=colnames(b_p))
ttest_surrogates(surr$surrogates, b_p)