ttest_scores: ttest_scores

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

ttest_scores

Description

#' Function that creates a boxplot with a continuous variable split using the binary variable

Usage

ttest_scores(dat, pred, pheno)

Arguments

dat	The data.frame containing the 2 variables
pred	character indicating the y variable
pheno	character indicating the binary variable

Value

plotly boxplot with the continuous variable split using the binary variable

Examples

library(MiMIR)
library(plotly)

#load the dataset
metabolic_measures <- synthetic_metabolic_dataset
phenotypes <- synthetic_phenotypic_dataset

#Compute the mortality score
mortScore<-comp.mort_score(metabolic_measures,quiet=TRUE)
dat<-data.frame(predictor=mortScore, pheno=phenotypes$sex)
colnames(dat)<-c("predictor","pheno")
ttest_scores(dat = dat, pred= "mortScore", pheno="sex")

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