Xprep {SAGx} | R Documentation |
The function fits a linear model to a microarray data matrix.
Xprep(indata=M, formula=~as.factor(g), contrast=c(0,1), design=NULL,Vars=NULL)
indata |
The data matrix |
formula |
a linear model formula in the lm format |
contrast |
a vector defining the contrast of interest |
design |
the design matrix |
Vars |
if not null the variance of the se is estimated through jacknife. |
As of v1.5 the code has been improved in terms of speed and takes advantage of built-in R functions. This incereases the efficiency of e.g. samroc.
a list with the entries
Mbar |
estimate of the contrast |
Vest |
the error variance |
k |
inverse of the scale factor turning Vest into a standard error |
f |
the degrees of freedom of Vest |
design |
the design matrix |
Varse |
The variance of the standard error |
Per Broberg