difftable: Table of multivariate differences

In multifluo: Dealing with Several Images of a Same Object Constituted of Different Zones

Description

Built a table crossing modalities of a trestmanet variable about multivariate differences

Usage

difftable(mat,vep=NULL,axes=c(1,2),var.col=NULL,trt="zone",test="hotelling")

Arguments

mat	the matrix must have one column named as trt, and
vep	when vep is not NULL, a preliminary operation multiplies mat [,var.col] by the vep matrix (useful to do the test only on the first principal components of mat).
axes	vep can contain all eigenvectors. If it is the case, axes allows the user to select only some eigenvectors (1:2 for the first two eigenvectors, 1:5 for the first five eigenvectors...)
var.col	indicates the number of columns of the numerical variables. If NULL, all columns but trt are selected.
trt	name of the column
test	"hotelling" or "sri". Indicates the type of test to detect multivariate differences. "hotelling" is the usual hotelling T2 test whereas "sri" corresponds to the Srivastava's Test, allowing a test of differences even if there is more variables than observations.

Value

A table containing the p-values is returned.

See Also

hotelling.test, sri.test

Examples

data(df.scaled)
difftable(df.scaled[,-5],trt="zone")

multifluo documentation built on May 2, 2019, 1:07 p.m.