F.stat.null: Generation of null F-statistics by bootstrap method
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 null distribution of F-statistics. Users should call tanova whenever is possible.

1 2	F.stat.null(data,f1,f2,type,trim=0,B=100,equal.size=FALSE,eb=FALSE) F.stat.null2(data,f1,f2,tp,type,B=100,trim=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.
`B`	number of bootstrap resampling
`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.null

null F-statistics, each column is a bootstrap sampling.

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,B=100,equal.size=FALSE,eb=FALSE)

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