roc_all: Computes AUC of AROC and ROC along with Specificity and...
In CHKim5/LMSstat: AUTOMATION OF STATISTICAL TESTS WITH AN IDENTICAL DATA INPUT.

Description Usage Arguments Value Examples

Computes AUC of AROC and ROC along with Specificity and Sensitivity of the Youden Index

1	roc_all(data, cov = T)

`data`	Healthy control as 0 and Disease control as 1. csv file with header as false. First column defining Sample information. Second column = Group, Third Column = Covariate ( Must be included even with random data to process the code). Rest of the columns are to be used as metabolites
`cov`	T,F argument specifying whether covariate adjsuted ROC will be computed

Either a list (adjusted + not adjusted) or a data matrix

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D<-as.data.frame(cbind(paste0("sample_",1:26),c(rep(1,13),rep(0,13)),c(rep("2",7),rep("3",12),rep("4",7)),runif(26),runif(26)))
Datas<-rbind(c("Sample","Group","Covariate","some metabolite1","some metabolite2"),D)
roc_all(Datas)