RCLS.chunk-class {rebmix} | R Documentation |
"RCLS.chunk"
Object of class RCLS.chunk
.
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.ntest(x = NULL)
, a.test(x = NULL)
and a.Zt(x = NULL)
,
where x
stands for an object of class RCLS.chunk
.
s
:finite set of size s of classes \bm{Ω} = \{\bm{Ω}_{g}; \ g = 1, …, s\}.
levels
:a character vector of length s containing class names \bm{Ω}_{g}.
ntrain
:a vector of length s containing numbers of observations in train datasets Y_{\mathrm{train}g}.
train
:a list of data frames containing train datasets Y_{\mathrm{train}g} of length n_{\mathrm{train}g}.
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{Ω}_{g} for the test dataset.
Marko Nagode
D. M. Dziuda. Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data. John Wiley & Sons, New York, 2010.