[R] Fwd: Timebased predictions in postgresql.

[Christian Schulz]

Hi,

hints for your  r-related  day ahead predictions you find in the second part 
of Louis Torgo's very usefuel: DataMining with R

http://www.liacc.up.pt/~ltorgo/ DataMiningWithR/PDF/DataMiningWithR.pdf 

And for your PL/SQL intention:
http://www.omegahat.org/RSPostgres/

christian


Am Donnerstag, 12. August 2004 21:52 schrieb Nicolai Petri:
> Hi r-people :)
>
> I'm sorry to disturb but I must admit that I know amazingly little about R
> and similar statistics-packages/languages and I'm kind of lost on where to
> start. I'm currently working on a datacollection framework for postgresql
> (The db doesn't really matter except that I hope to use PL/R) and I would
> like to be able to predict future values preferable 1 day or more ahead.
> The highest resolution on the historic data is 4 minutes but I'm already
> resampling that to whatever I need, so if it would be better to use 30min
> or other reasolution (because of performance) it would be perfectly ok.
>
> The types of statistics in the database is typically network io/ cpu usage,
> temperatur, etc. and I will rarely have holes in the history.
>
> Can anyone tell me how (or give me a hint) I can predict traffic or similar
> maybe one or more days ahead when I have the data xxdays back ? (And many
> how many days / which interval would be optimal for best
> performance/precision).
>
> You can also tell me it's impossible, but I think it could be really cool
> to present graphs of expected cpu-load or network IO to our users.
>
> Can it be done in R (and PL/R) ?
>
> Best regards,
> Nicolai Petri
> catpipe Systems Aps
>
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