R devel - Apr 2002 - predict.Arima fails when x is not a time-series

I'm playing with predict.Arima in the 3/19/02 development snapshot of
R-devel.
The following produces an error message because x is not of class
"ts":
  R> x <- rnorm(20)
  R> obj <- arima(x, c(2,0,0))
  R> predict(obj)
     Error in round(x, digits) : Non-numeric argument to mathematical function

Granted the documentation for arima says x should be a time-series, but why not
accommodate simple vectors?  I think it would suffice to change this line:
  xtsp <- tsp(data)
in predict.Arima to this:
  xtsp <- tsp(hasTsp(data))

Also, a minor documentation typo: the help file for predict.Arima refers to the
function as "predict.arima" at one point.
-- 
                              -- David Brahm (brahm@alum.mit.edu)
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On Wed, 3 Apr 2002, David Brahm wrote:
> I'm playing with predict.Arima in the 3/19/02 development snapshot of
R-devel.
That's quite old.
> The following produces an error message because x is not of class
"ts":
>   R> x <- rnorm(20)
>   R> obj <- arima(x, c(2,0,0))
>   R> predict(obj)
>      Error in round(x, digits) : Non-numeric argument to mathematical
function
>
> Granted the documentation for arima says x should be a time-series, but why
not
> accommodate simple vectors?
Because it is not possible to specify the time base correctly when
predicting.
>  I think it would suffice to change this line:
>   xtsp <- tsp(data)
> in predict.Arima to this:
>   xtsp <- tsp(hasTsp(data))
>
> Also, a minor documentation typo: the help file for predict.Arima refers to
the
> function as "predict.arima" at one point.
Not any more it doesn't.
> --
>                               -- David Brahm (brahm@alum.mit.edu)
>
-- 
Brian D. Ripley,                  ripley@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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