ssabss-class: Class: ssabss

In ssaBSS: Stationary Subspace Analysis

Class: ssabss

Description

Class 'ssabss' (blind source separation in stationary subspace analysis) with methods plot, screeplot (prints a screeplot of an object of class 'ssabss') and ggscreeplot (prints a screeplot of an object of class 'ssabss' using package ggplot2).

The class 'ssabss' also inherits methods from the class 'bss' in package JADE: for extracting the components (bss.components), for plotting the components (plot.bss), for printing (print.bss), and for extracting the coefficients (coef.bss).

Usage

## S3 method for class 'ssabss'
plot(x, ...)

## S3 method for class 'ssabss'
screeplot(x, type = c("lines", "barplot"), xlab = "Number of components",
          ylab = NULL, main = paste("Screeplot for", x$method),
          pointsize = 4, breaks = 1:length(x$D), color = "red", ...)
                              
## S3 method for class 'ssabss'
ggscreeplot(x, type = c("lines", "barplot"), xlab = "Number of components",
            ylab = NULL, main = paste("Screeplot for", x$method),
            pointsize = 4, breaks = 1:length(x$D), color = "red", ...)

Arguments

x	An object of class 'ssabss'.
type	Type of screeplot. Choices are "lines" (default) and "barplot".
xlab	Label for x-axis. Default is "Number of components".
ylab	Label for y-axis. Default is "Sum of pseudo eigenvalues" if method is SSAcomb and "Eigenvalues" otherwise.
main	Title of the plot. Default is "Screeplot for ...", where ... denotes for the name of the method used.
pointsize	Size of the points in the plot (for type = "lines" only). Default is 4.
breaks	Breaks and labels for the x-axis. Default is from 1 to the number of series by 1.
color	Color of the line (if type = "lines") or bar (if type = "barplot"). Default is red.
...	Further arguments to be passed to or from methods.

Details

A screeplot can be used to determine the number of interesting components. For SSAcomb it plots the sum of pseudo eigenvalues and for other methods it plots the eigenvalues.

Author(s)

Markus Matilainen

See Also

ASSA, SSAsir, SSAsave, SSAcor, SSAcomb, JADE, ggplot2

ssaBSS documentation built on Dec. 1, 2022, 5:07 p.m.