F.stat: Compute F-statistics for ANOVA model
In TANOVA: Time Course Analysis of Variance for Microarray

Description Usage Arguments Value Author(s) See Also Examples

This is an internal function to be called by tanova to generate design matrix. Users should call tanova whenever is possible.

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  F.stat(data,f1,f2,type,equal.size=FALSE,trim, eb=FALSE)
  F.stat2(data,f1,f2,tp,type,trim,eb=FALSE)

`data`	a data matrix containing expression values. Row and column represent gene (probe set) and array respectively
`f1`	a vector containing the levels of a factor in each array
`f2`	a vector containing the levels of a factor in each array
`tp`	a vector with length equal to the number of arrays. Each entry indicates the time point for the corresponding array. tp takes values 1,2,3 .... For non-time course data, let tp=0.
`type`	type of test the null F-statistics is for, 1 for, 2 for, 3 for, 4 for
`trim`	the fraction (0 to 0.5) of observations to be trimmed from each end of x before the mean is computed. Values of trim outside that range are taken as the nearest endpoint.
`equal.size`	a logical indicator of whether the number of replicates under each biological condition is equal. Default is FALSE.
`eb`	whether to use Bayesian prior

`F`	observed F-statistics

Baiyu Zhou zhouby98@stanford.edu & Weihong xu weihongx@stanford.edu

tanova

	##data=matrix(rnorm(10000,mean=6, sd=1),nrow=500, ncol=20)
	##f1=rep(c(1,2), each=10)
	##f2=rep(c(1,2), 10)
	##F.stat.null(data,f1,f2,type=1,trim=0,equal.size=FALSE,eb=FALSE)

TANOVA documentation built on May 29, 2017, 12:31 p.m.