mdr.c: MDR : Multifactor Dimensionality Reduction

In ORMDR: ORMDR

Description

MDR method classifies the combination of multilocus tgenotypes into high-risk and low-risk groups based on a simple comparison of the ratios of the number of cases and controls.

Usage

mdr.c(dataset,colresp,cs,combi,cv.fold=10,randomize=TRUE)

Arguments

dataset	SNP data set with class variable
colresp	location of class variable in dataset
cs	how to code "case" class
combi	number of genes for combination
cv.fold	number of fold in cross validation
randomize	logical. If 'TRUE' (the default) the cross validation sets are randomized

Value

min.comb	combination with minimum error rate in each cross validation
train.erate	training error
test.erate	test error
data	dataset
best.combi	best combination

Examples

data(sample.dat)
mdr.c(sample.dat, colresp=21, cs=1, combi=2, cv.fold = 10)

ORMDR documentation built on May 2, 2019, 7:22 a.m.