abcxyz: ABC-XYZ visualisation

In tsutils: Time Series Exploration, Modelling and Forecasting

ABC-XYZ visualisation

Description

Jointly visualise ABC and XYZ analyses.

Usage

abcxyz(imp, frc, outplot = c(TRUE, FALSE), error = NULL, ...)

Arguments

imp	an obkect of class abc that is the output of function abc.
frc	an obkect of class abc that is the output of function xyz.
outplot	if TRUE, then provide a visualisation of the analyses.
error	vector of forecast errors for each series that will be distributed in each class, presented as an average.
...	additional arguments passed to the plot.

Value

A list containing:

• class: a matrix containing the number of time series in each class.

• error: a matrix containing the averaged error for each class, if the argument error was used.

Author(s)

Nikolaos Kourentzes, [e-mail].

References

Ord K., Fildes R., Kourentzes N. (2017) Principles of Business Forecasting, 2e. Wessex Press Publishing Co., p.515-518.

See Also

abc, xyz.

Examples

x <- abs(matrix(cumsum(rnorm(5400,0,1)),36,150))
abcxyz(abc(x),xyz(x,type="cv"))

tsutils documentation built on Nov. 15, 2023, 1:08 a.m.