An S4 class to store partial bootstrap correspondence analysis results.

`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.

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.

Other class:
`DiversityIndex`

,
`PermutationOrder-class`