I'm fitting a model with the R forecast package like this:
fit <- auto.arima(df)
plot(forecast(fit,h=200))
Which prints the original data frame plus the forecast. This becomes a problem when df is quite big, as it's hard to visualise what the forecast looks like. I would like to be able to select only the last X points from the whole series (original + forecast).
You can include X observations of the original series in your plot with:
plot(forecast(fit, h=200), include = X)
You can see additional documentation with:
?plot.forecast