RCLS.chunk-class: Class '"RCLS.chunk"'

RCLS.chunk-classR Documentation

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.


rebmix documentation built on Sept. 11, 2024, 6:30 p.m.