stamCV-class {stam} | R Documentation |
Objects if this class are generated by stam.cv
. It contains results of cross
validated model fits generated in structured analysis of microarrays in order to choose
graph shrinkage levels.
Objects can be created by calls of the form
new("stamCV", exprs, classifications, beta, chip, root)
, but it is recommended
the use the function stam.cv
.
sample.labels
:"character"
, names of samplessample.classes
:"character"
, class names for
each sampleclass.labels
:"character"
, one name for each
classprior
:"numeric"
, prior class probabilities
according to prevalencebeta
:"numeric"
, class weights, one per classfull.pamfit
:"nsc"
, PAM fit on all probesetsprobs
:"array"
, matrix of cross validated
prediction probabilities [samples x classes x nodes]folds
:"list"
, buckets used in cross validationresults
:"data.frame"
, cross-validated root
error rate, root performance and mean redundancy as well as remaining nodes and
the accessible probesets for each deltanode.results
:"list"
, performance, redundancy,
sensitivity and specificity per nodemax.leafdev
:"numeric"
, performance of worst
leaf nodedeltas
:"numeric"
, shrinkage candidates
See stamNet-class
for slots chip
, root
, chippkg
,
GOpkg
, nodes
, leafs
, inodes
and probes
.
Class "stamNet"
, directly.
signature(x = "stamCV")
: print information on cross validationsignature(x = "stamCV")
: generate HTML information on cross
validation. However, using stam.writeHTML
is recommended.Claudio Lottaz