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tabula (version 1.6.1)

RefineCA-class: Partial Bootstrap CA

Description

An S4 class to store partial bootstrap correspondence analysis results.

Arguments

Slots

row_chull

A three columns numeric matrix giving the vertices coordinates (x, y) of the samples convex hull and a identifier (id) to link each row to a sample.

row_lengths

A named numeric vector giving the convex hull maximum dimension length of samples.

row_keep

An integer vector giving the subscript of the samples to be kept.

column_chull

A three columns numeric matrix giving the vertices coordinates (x, y) of the variables convex hull and a identifier (id) to link each row to a variable.

column_lengths

A numeric vector giving the convex hull maximum dimension length of variables.

column_keep

An integer vector giving the subscript of the variables to be kept.

cutoff

A length-two numeric vector giving the cutoff value for samples and variables selection, respectively.

Subset

In the code snippets below, x is a RefineCA object.

x[[i]]

Extracts information from a slot selected by subscript i. i is a length-one character vector. Returns the corresponding slot values.

See Also

dimensio::CA

Other class: DiversityIndex, PermutationOrder-class