ttest_surrogates {MiMIR}

ttest_surrogates

Description

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

Usage

ttest_surrogates(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

Details

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

Value

plotly image with all the ROCs for all the available 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)