I have just installed R2.9.0 on my Windows XP system. 
I have followed the same installation procedure I have been using for over a year. That is installation
from the "exe" file.
"kernel" belongs to package "stats"which is (I think) installed by default.
I loaded it but did not use the command: 
> library(stats)
Now I did and it works fine for me too.
I am sorry. I though such a command is only necessary when a package is installed.
Thank youi.
Maura


-----Messaggio originale-----
Da: Uwe Ligges [mailto:ligges@statistik.tu-dortmund.de]
Inviato: gio 14/05/2009 16.14
A: mauede@alice.it
Cc: r-help@stat.math.ethz.ch
Oggetto: Re: [R] corrupted smoothing kernel ?
 


mauede@alice.it wrote:
> I am trying to use the "kernel" function. To understand how it works I tried out some of the examples. 
> None of them works as shown in the following:
> 
>>  kernel("daniell", 50)  # 
> Error in kernel("daniell", 50) : unused argument(s) (50)

.... which works for me. Have you loaded some specific package? Which R 
versioj is this? Your OS? Self-compiled R or some pre-compiled binary?

Uwe Ligges



>>  kernel("daniell", 10)  # 
> Error in kernel("daniell", 10) : unused argument(s) (10)
>> kernel("daniell", c(3,3))
> Error in kernel("daniell", c(3, 3)) : unused argument(s) (c(3, 3))
>> kernel("fejer", 100, r=6)
> Error in kernel("fejer", 100, r = 6) : unused argument(s) (100, r = 6)
>> kernel("daniell", c(11,7,3) )
> Error in kernel("daniell", c(11, 7, 3)) : 
>   unused argument(s) (c(11, 7, 3))
> 
> My goal is to detrend a time series affected by non-linear trend. I do not have clear ideas about the
> difference betweeen "detrending" and "smoothing". I would appreciate some suggestions and/or literature references 
> by  people experienced about detrending and smoothing.
> I was told the there are two best methods about detrending: polynomial fit on a sliding window and kernel smoothing.
> I keep being confused . I got the book by Hardle. Maybe you can advice some other clarifying literature (possibly with 
> examples).
> Thank you very much.
> Maura 
> 
> 
> 
> 
> 
> 
> tutti i telefonini TIM!
> 
> 
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> 
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tutti i telefonini TIM!


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