PSF (version 0.5)

plot.psf: Plot actual and forecasted values of an univariate time series

Description

Takes an univariate time series and a vector with forecasted values.

Usage

# S3 method for psf
plot(x, predictions = c(), cycle = 24, ...)

Arguments

x

The trained PSF model generated by psf() function.

predictions

A vector with previously computed forecasted values.

cycle

The number of values that conform a cycle in the time series (e.g. 24 hours per day, 12 month per year, and so on). Only used when input data is not in time series (ts) format.

…

Additional graphical parameters given to plot function.

Examples

# NOT RUN {
## Train a PSF model from the univariate time series 'nottem' (package:datasets).
p <- psf(nottem)

## Forecast the next 12 values of such time series.
pred <- predict(p, n.ahead = 12)

## Plot forecasted values.
plot(p, pred)
# }