rebmix (version 2.16.0)

RCLS.chunk-class: 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

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.