core {daMA} R Documentation

## Internal function of analyseMA

### Description

This internal function of analyseMA computes the statistics and estimators that are organised and given out by the main function analyseMA.

### Usage

```core(vector, design, cmat, cinfo, tol)
```

### Arguments

 `vector` a simple help variable for the apply call `design` the design matrix of size N times (K+2), where K is the number of experimental conditions. This is the design matrix X known from linear model theory and its elements are typically 0, 1, or -1. A 0 means that the associated parameter does not apply for the corresponding observation (i.e., row). The first two columns are reserved for the two dyes and are usually filled up with 1 and -1, respectively. `cmat` a matrix describing the p experimental questions (contrasts) to be analysed in the experiment. The matrix can be composed of vectorial contrasts (a single row of the matrix) and of contrasts in matrix form (several rows of the matrix), e.g. an A times B interaction effect in a 3 times 2 design. All contrasts have to be combined into one matrix (using rbind for instance). `cinfo` a vector of length p describing the grouping of the contrast matrix rows in vector or matrix form. E.g. if the design matrix contains three contrasts in vector form, cinfo = rep(1,3), if it contains two vectorial contratst and one as matrix with three rows, cinfo=c(1,1,3). `tol` A value indicating the tolerance for contrast estimability check

### Author(s)

Jobst Landgrebe (jlandgr1@gwdg.de) and Frank Bretz (bretz@bioinf.uni-hannover.de)

### References

Bretz, F and Landgrebe J and Brunner E (2003):"Design and analysis of two colour factorial microarray experiments", submitted. http://www.microarrays.med.uni-goettingen.de/