Pvalue | R Documentation |
Calculate F-statistics, t-statistics and corresponding p-values given multiple regression models under the null and alternative hypotheses.
Pvalue(dat, mod, mod0)
dat |
An N genes by n arrays matrix of expression data |
mod |
An n by (s+1) design matrix under the full model (alternative), the first column is the primary predictor, s>=0 and the rest of the columns are additional covariates |
mod0 |
An n by s design matrix under the null hypothesis, s>=0,
should be the same as the 2:(s+1) columns of mod. If s=0, please set mod0 = |
p |
An N by 1 vector of p-values one for each row of data. |
tstat |
An N by 1 vector of t-statistics for primary parameters. |
fstat |
An N by 1 vector of F-statistics for primary parameters. |
coef |
An N by (s+1) matrix of coefficients with respect to design matrix mod under the full model. |
Yunting Sun yunting.sun@gmail.com, Nancy R.Zhang nzhang@stanford.edu, Art B.Owen owen@stanford.edu
## Not run: data(simdat) n = ncol(simdat$data) mod = cbind(simdat$g, rep(1,n)) mod0 = cbind(rep(1,n)) result = Pvalue(dimdat$data,mod = mod, mod0 = mod0) ## End(Not run)
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