# foreca.one_weightvector-utils: Plot, summary, and print methods for class... In ForeCA: Forecastable Component Analysis

## Description

S3 methods for the one weightvector optimization in ForeCA (class "foreca.one_weightvector").

summary.foreca.one_weightvector computes summary statistics.

plot.foreca.one_weightvector shows the results of an (iterative) algorithm that obtained the i-th optimal a weightvector \mathbf{w}_i^*. It shows trace plots of the objective function and the weightvector, and a time series plot of the transformed signal y_t^* along with its spectral density estimate \widehat{f}_y(ω_j).

## Usage

 1 2 3 4 5 6 ## S3 method for class 'foreca.one_weightvector' summary(object, lag = 10, alpha = 0.05, ...) ## S3 method for class 'foreca.one_weightvector' plot(x, main = "", cex.lab = 1.1, ...) 

## Arguments

 lag integer; how many lags to test in Box.test; default: 10. alpha significance level for testing white noise in Box.test; default: 0.05. ... additional arguments passed to plot, or summary. x, object an object of class "foreca.one_weightvector". main an overall title for the plot: see title. cex.lab size of the axes labels.

## Examples

 1 # see examples in 'foreca.one_weightvector' 

ForeCA documentation built on May 29, 2017, 9:09 a.m.