LinearMParams-class | R Documentation |
A parameter class for representing all parameters
needed by a method specializing the linearMTest
generic.
Objects can be created by calls of the form
new("LinearMParams", ...)
.
geneStats
:Named vector of class "numeric"
,
giving the gene-level statistics to be used in the tests. The
names should correspond to the gene identifiers in gsc
.
universeGeneIds
:Object of class "ANY"
: A
vector of gene ids defining a subset of the gene ids on the chip
that will be used as the universe for the hypergeometric
calculation. If this is NULL
or has length zero, then all
gene ids on the chip will be used. Currently this parameter is
ignored by the base linearMTest
method.
annotation
:A string giving the name of the annotation data package for the chip used to generate the data.
datPkg
:Object of class "DatPkg"
used to assist
with dispatch based on type of annotation data
available. Currently this parameter is ignored by the
base linearMTest
method.
categorySubsetIds
:Object of class "ANY"
:
If the test method supports it, can be used to specify a subset of
category ids to include in the test instead of all possible
category ids. Currently this parameter is ignored by the
base linearMTest
method.
categoryName
:A string describing the category.
Usually set automatically by subclasses. For example
"ChrMap"
.
pvalueCutoff
:The p-value to use as a cutoff for significance for testing methods that require it. This value will also be passed on to the result instance and used for display and counting of significant results. The default is 0.01.
minSize
:An integer giving a minimum size for a gene set for it to be tested. The default is 5.
testDirection
:A string indicating whether the test
should test for systematic increase ("up"
) or decrease
("down"
) in the geneStats
values within a gene set
relative to the remaining genes.
graph
:The graph
object indicating the hierarchical relationship among terms of the
ontology or other grouping.
conditional
:A logical
indicating whether
conditional tests should be performed. This tests whether a term
is still significant even when including its sub-terms in the model.
gsc
:The
GeneSetCollection
object grouping the gene ids into sets.
These are accessor methods for the various parameter slots:
signature(object = "LinearMParams", value = "character")
: ...
signature(object = "LinearMParams")
: ...
signature(r = "LinearMParams")
: ...
signature(r = "LinearMParams")
: ...
signature(object = "LinearMParams")
: ...
signature(object = "LinearMParams")
: ...
signature(r = "LinearMParams")
: ...
signature(r = "LinearMParams")
: ...
signature(object = "LinearMParams")
: ...
signature(r = "LinearMParams")
: ...
signature(r = "LinearMParams")
: ...
signature(r = "LinearMParams")
: ...
signature(r = "LinearMParams")
: ...
signature(r = "LinearMParams")
: ...
Deepayan Sarkar, Michael Lawrence
See linearMTest
for
examples. ChrMapLinearMParams
is a specialization
of this class for chromosome maps.
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