buildPatterns

Character containing the names of the groups at which
  samples may belong to.
  If the output of the function is going to be used in <code>fitGG</code> it
  must match the group levels specified in the <code>groups</code> parameter
  that will be given to <code>fitGG</code>.

groups


Creates a matrix indicating which groups are put together under each
pattern. The number of possible patterns increases very fast as the
number of groups increases. This function provides an easy way to
compute all possible patterns.
The output of this function is usually used for the <code>patterns</code>
parameter of the <code>lmFit</code> function.


logic

Implements the GaGa model for high-throughput data
analysis, including differential expression analysis,
supervised gene clustering and classification. Additionally, it
performs sequential sample size calculations using the GaGa and
LNNGV models (the latter from EBarrays package).

David Rossell

gaga

GaGa hierarchical model for high-throughput data analysis

buildPatterns function

Creates a matrix indicating which groups are put together under each
pattern. The number of possible patterns increases very fast as the
number of groups increases. This function provides an easy way to
compute all possible patterns.
The output of this function is usually used for the <code>patterns</code>
parameter of the <code>lmFit</code> function.

buildPatterns: Build a matrix with all possible patterns given a number of groups where samples may belong to.

Description

Usage

Arguments

Examples