RCLS.chunk-class {rebmix}

Class "RCLS.chunk"

Description

Object of class RCLS.chunk.

Objects from the Class

Objects can be created by calls of the form new("RCLS.chunk", ...). Accessor methods for the slots are a.s(x = NULL), a.levels(x = NULL), a.ntrain(x = NULL), a.train(x = NULL), a.Zr(x = NULL), a.ntest(x = NULL), a.test(x = NULL) and a.Zt(x = NULL), where x stands for an object of class RCLS.chunk.

Slots

s:

finite set of size s of classes \bm{\Omega} = \{\bm{\Omega}_{g}; \ g = 1, \ldots, s\}.

levels:

a character vector of length s containing class names \bm{\Omega}_{g}.

ntrain:

a vector of length s containing numbers of observations in train datasets Y_{\mathrm{train}g}.

train:

a list of length n_{\mathrm{D}} of data frames containing train datasets Y_{\mathrm{train}g} of length n_{\mathrm{train}g}.

Zr:

a list of factors of true class membership \bm{\Omega}_{g} for the train datasets.

ntest:

number of observations in test dataset Y_{\mathrm{test}}.

test:

a data frame containing test dataset Y_{\mathrm{test}} of length n_{\mathrm{test}}.

Zt:

a factor of true class membership \bm{\Omega}_{g} for the test dataset.

Author(s)

Marko Nagode

References

D. M. Dziuda. Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data. John Wiley & Sons, New York, 2010.