maigesClass-class:
maigesClass class, store results of discrimination (or classification) analysis
Slots
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.
Methods
- plot
signature(x = 'maigesClass'): plot method for
maigesClass class. Display dispersion plots.- print
signature(x = 'maigesClass'): print method for
maigesClass class.- show
signature(x = 'maigesClass'): show method for
maigesClass class.- summary
signature(x = 'maigesClass'): summary method for
maigesClass class.