Description Details Slots Methods Author(s) See Also
This class defines a structure to store the results from
discrimination analysis. This type of analysis can be done using the
functions classifyLDA
, classifySVM
,
classifyKNN
, classifyLDAsc
,
classifySVMsc
or classifyKNNsc
.
Objects of this class are produced by calling the functions
classifyLDA
, classifySVM
,
classifyKNN
, classifyLDAsc
,
classifySVMsc
or classifyKNNsc
over an
object of class maiges
to search for cliques satisfying the
criteria specified for classification.
W
:numeric matrix giving the W values of the genes tested. This information is useful for doing plots of the cliques.
CV
:numeric vector that store the number of correct classifications in the leave-one-out cross validation procedure.
SVD
:numeric vector that store the singular value decomposition from Fisher linear discriminant analysis.
cliques
:character matrix that gives the genes that constitute the cliques returned. The rows of the matrix represent the cliques while the columns represent the genes that form the clique.
cliques.idx
:numeric matrix similar to the above,
storing the indexes (onto W
slot) of the genes.
method
:character string giving the method of discrimination analysis used.
Date
:character string giving the date and time that the object was generated.
V.info
:list containg three characters. The first one is a string containing the R version used when the object was created. The second is a char vector with base packages and the last one is another char vector with additional packages and version numbers.
signature(x = 'maigesClass')
: plot method for
maigesClass
class. Display dispersion plots.
signature(x = 'maigesClass')
: print method for
maigesClass
class.
signature(x = 'maigesClass')
: show method for
maigesClass
class.
signature(x = 'maigesClass')
: summary method for
maigesClass
class.
Gustavo H. Esteves <gesteves@vision.ime.usp.br>
classifyLDA
, classifySVM
,
classifyKNN
, classifyLDAsc
,
classifySVMsc
and classifyKNNsc
.
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