forecast package time series in R

[KafeelI]

Hello

Why do we get NAs in residual and fitted values of forecast() function. Below is an example

fancy <- scan("http://robjhyndman.com/tsdldata/data/fancy.dat")
souvenir_series = ts(data =log(fancy),start = 1987, frequency = 12)
souvenir_series_forecasts = HoltWinters(souvenir_series)
souvenir_series_forecasts2 = forecast(souvenir_series_forecasts,h = 48)
souvenir_series_forecasts2$residuals

[Andrea]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[KafeelI]

By executing the codes which I have given, you will be able to generate the output shown.

Let me know if I am missing something.

[Andrea]

I won't, because your code doesn't load any package. Please have a look at the link I provided to see how to make a reproducible example.