chunk-methods | R Documentation |
Returns (invisibly) the object containing train and test observations \bm{x}_{1}, …, \bm{x}_{n} as well as true class membership \bm{Ω}_{g} for the test dataset. Vectors \bm{x} are subvectors of \bm{y} = (y_{1}, …, y_{d})^{\top}.
## S4 method for signature 'RCLS.chunk' chunk(x = NULL, variables = expression(1:d)) ## ... and for other signatures
x |
see Methods section below. |
variables |
a vector containing indices of variables in subvectors \bm{x}. The default value is |
Returns an object of class RCLS.chunk
.
signature(x = "RCLS.chunk")
an object of class RCLS.chunk
.
Marko Nagode
data(iris) # Split dataset into train (75%) and test (25%) subsets. set.seed(5) Iris <- split(p = 0.75, Dataset = iris, class = 5) # Extract chunk from train and test datasets. Iris14 <- chunk(x = Iris, variables = c(1,4)) Iris14
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