comprcompClass: S3 class comprcomp.

In variani/cpca: Methods to perform Common Principal Component Analysis (CPCA)

Description

S3 class comprcomp.

Usage

varplot(object, ...)

compvar(object, ...)

compscore(object, ...)

## S3 method for class 'comprcomp'
print(x, ...)

## S3 method for class 'comprcomp'
scores(object, X, Y, comp = 1:2, center, scale,
  grouping = FALSE, ...)

## S3 method for class 'lda'
scores(object, X, Y, comp = 1:2, ...)

## S3 method for class 'comprcomp'
compscore(object, X, sorted = FALSE, ...)

## S3 method for class 'comprcomp'
compvar(object, X, Y, comp, center, scale,
  grouping = FALSE, prop = FALSE, perc = FALSE, sorted = FALSE, ...)

## S3 method for class 'comprcomp'
varplot(object, X, Y, comp = 1:2, facet = TRUE, ...)

## S3 method for class 'comprcomp'
scoreplot(object, X, Y, comp = 1:2, ...)

## S3 method for class 'prcomp'
scoreplot(object, X, Y, comp = 1:2, ...)

## S3 method for class 'lda'
scoreplot(object, X, Y, comp = 1:2, ...)

Arguments

object	An object of class comprcomp.
...	Additional arguments.
x	An object of class comprcomp.
X	A matrix of data points (raw data).
Y	A vector of classes (factor).
comp	A vector of components (indcices).
center	A logical value indicating centering (per variable/per column).
scale	A logical value indicating scaling to unit variance (per variable/per column).
grouping	A logical value indicating doing PCA or CPCA (PCA per group). The default value is FALSE.
sorted	A logical indicating wether to sort results or not. The default value is FALSE.
prop	A logical indicating whether the data are to be reported in proportions. The default value is FALSE.
perc	A logical indicating whether the data are to be reported in percentage. The default value is FALSE.
facet	A logical indicating whether faceting is to applied in varplot method.

variani/cpca documentation built on May 3, 2019, 4:34 p.m.