plot.marssPredict | R Documentation |
Plots forecasts with prediction (default) or confidence intervals using base R graphics (plot
) and ggplot2 (autoplot
). The plot function is built to mimic plot.forecast
in the forecast package in terms of arguments and look.
## S3 method for class 'marssPredict'
plot(x, include, decorate = TRUE, main = NULL, showgap = TRUE,
shaded = TRUE, shadebars = (x$h < 5 & x$h != 0), shadecols = NULL, col = 1,
fcol = 4, pi.col = 1, pi.lty = 2, ylim = NULL,
xlab = "", ylab = "", type = "l", flty = 1, flwd = 2, ...)
## S3 method for class 'marssPredict'
autoplot(x, include, decorate = TRUE, plot.par = list(), ...)
x |
marssPredict produced by |
include |
number of time step from the training data to include before the forecast. Default is all values. |
main |
Text to add to plot titles. |
showgap |
If showgap=FALSE, the gap between the training data and the forecasts is removed. |
shaded |
Whether prediction intervals should be shaded (TRUE) or lines (FALSE). |
shadebars |
Whether prediction intervals should be plotted as shaded bars (if TRUE) or a shaded polygon (if FALSE). Ignored if shaded=FALSE. Bars are plotted by default if there are fewer than five forecast horizons. |
shadecols |
Colors for shaded prediction intervals. |
col |
Color for the data line. |
fcol |
Color for the forecast line. |
pi.col |
If shaded=FALSE and PI=TRUE, the prediction intervals are plotted in this color. |
pi.lty |
If shaded=FALSE and PI=TRUE, the prediction intervals are plotted using this line type. |
ylim |
Limits on y-axis. |
xlab |
X-axis label. |
ylab |
Y-axis label. |
type |
Type of plot desired. As for plot.default. |
flty |
Line type for the forecast line. |
flwd |
Line width for the forecast line. |
... |
Other arguments, not used. |
decorate |
TRUE/FALSE. Add data points and CIs or PIs to the plots. |
plot.par |
A list of plot parameters to adjust the look of the plot. The default is |
None. Plots are plotted
Eli Holmes and based off of plot.forecast
in the forecast package written by Rob J Hyndman & Mitchell O'Hara-Wild.
predict.marssMLE()
data(harborSealWA)
dat <- t(harborSealWA[, -1])
fit <- MARSS(dat[1:2,])
fr <- predict(fit, n.ahead=10)
plot(fr, include=10)
# forecast.marssMLE does the same thing as predict with h
fr <- forecast(fit, n.ahead=10)
plot(fr)
# without h, predict will show the prediction intervals
fr <- predict(fit)
plot(fr)
# you can fit to a new set of data using the same model and same x0
fr <- predict(fit, newdata=list(y=dat[3:4,]), x0="use.model")
plot(fr)
# but you probably want to re-estimate x0
fr <- predict(fit, newdata=list(y=dat[3:4,]), x0="reestimate")
plot(fr)
# forecast; note h not n.ahead is used for forecast()
fr <- forecast(fit, h=10)
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