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 ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
