madWV: Produce a grpWV object
In ziyanyin/DEEE: DE EE Analysis

Description Usage Arguments Value Examples

madWV defines and produces a grpWV object with FUN = “mad”, interval = c(0, 1) and ifeq = “>”. See also grpWV, which produces a grpWV object with no restriction but is much slower. See plot.grpWV for plotting instructions.

1	madWV(SVobj, degree = 4)

`SVobj`	A samVec object containing data and other information.
`degree`	A integer specifying the degree of the polynomail logistic regression that applied to fit the data.

A grpWV object is returned, which is a list containing

fitY: A list of lists of numerics containing the fitted response values.
rankit: A list of numerics containing the rankit of the means of the data matrix.
order: A list of integers containing the order the rankit.
nWV: An integers indicating the numbers of grpWV.
interval: c(0, 1).
Function: "mad".
ifeq: ">".
selCol: A list of vector of integers containing absolute indexes of choosen columns.
colInd: A list of vector of integers containing relative indexes of columns.
labels: A vector of characters, integers or short string marking the groups.
dataType: A long string containing useful information of the data.

data(GCwPADataA)
testset = samVec(GCwPADataA, selCol = list(1:5, 11:15, 21:25), labels = c("E", "R", "T"),
 dataType = "Example")
gw1 = madWV(SVobj = testset, degree = 6)
plot(gw1, legPar = list(cex = 1, ncol = 1), mainPar = list(main = "Example"))