plot.psf {PSF} | R Documentation |
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 class '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
## 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)
[Package PSF version 0.5 Index]