| Pvalue {leapp} | R Documentation |
Calculate statistics and p-values
Description
Calculate F-statistics, t-statistics and corresponding p-values given multiple regression models under the null and alternative hypotheses.
Usage
Pvalue(dat, mod, mod0)
Arguments
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 = |
Value
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. |
Author(s)
Yunting Sun yunting.sun@gmail.com, Nancy R.Zhang nzhang@stanford.edu, Art B.Owen owen@stanford.edu
Examples
## 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)