Hott2: Hottelling's T square

In MAVTgsa: Three methods to identify differentially expressed gene sets, ordinary least square test, Multivariate Analysis Of Variance test with n contrasts and Random forest.

Description

To compute Hotelling's T square statistic for multivariate analysis of variance using Shrinkage covariance matrix estimates.

Usage

Hott2(x, y, var.equal = TRUE)

Arguments

x	Data matrix; row is sample; each column is variable(gene)
y	Vector defining two-group of the samples.
var.equal	Logical.

Value

Hotelling's T square statistic is calculated.

Note

R > 2.13.2

Author(s)

Chen-An Tsai, James J. Chen, Ching-Wei Chang, and Chih-Yi Chien

References

Chen,J.J. et al. (2007) Significance analysis of group of genes in expression profiling studies, Bioinformatics, 23, 2104.

Tsai,C.A. et al. (2009) Multivariate analysis of variance test for gene set analysis. Bioinformatics, 25, 897.

MAVTgsa documentation built on May 2, 2019, 6:37 a.m.