Time Course Analysis of Variance for Microarray

Documentation for package ‘TANOVA’ version 1.0.0

data.form	Convert input data into appropriate format for TANOVA
design.matrix	Generate design matrix for two-way factorial analysis
F.stat	Compute F-statistics for ANOVA model
F.stat.null	Generation of null F-statistics by bootstrap method
F.stat.null2	Generation of null F-statistics by bootstrap method
F.stat2	Compute F-statistics for ANOVA model
fdr.table	TANOVA False Discovery Table
gene.classifier1	Classification of genes by time course analysis of variance(TANOVA)
gene.classifier2	Classification of genes by time course analysis of variance(TANOVA)
gene.classifier3	Classification of genes by time course analysis of variance(TANOVA)
group.ix	This is an internal function
ls.estimate	Least square estimation
NANOVA.test	Non-parametric analysis of variance (NANOVA)
NANOVA.test2	Non-parametric analysis of variance (NANOVA)
NANOVA.test3	Non-parametric analysis of variance (NANOVA)
prior.SIGMA	Compute the prior of covariance matrix
prior.sigma	Compute the prior of covariance matrix
proj	projection direction
proj.data	Projection of Raw Data
proj.dir	projection direction
proj.dir2	projection direction
sig.number	The number of significant genes in the FDR table at specified quantiles
sigma.hat	Estimation of Covariance Matrix
tanova	Classification of genes by time course analysis of variance(TANOVA)
TANOVAmanual	Classification of genes by time course analysis of variance(TANOVA)
trigammaInverse	Trigamma Inverse Function
z.score	Z Score