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Hello, Is there any software project that uses R to do log file analisys? thanks gabi

There has been a few questions on the subject lately. Is there any book on the subject, if possible with a computer processing flavor, that you would highly recommend? Many thanks in advance, -- Jean-Luc

Hello. This is my first post, so allow me to introduce myself. But first, I'd like to thank all the authors and contributors to the R software, as I think that it is truly a great and very useful package. I am the author of moodss, a GPL modular monitoring application (http://moodss.sourceforge.net). Moodss collects, archives in a SQL database and displays data from monitored devices,

Working through the R archives and webspace, I've mostly proved to myself that I don't know enough about what statisticians call "Curve Fitting" to even begin translating the basics. I'm a sysadmin, and have collected a variety of measurements of my systems, and I can draw pretty pictures in R showing what has happened. People are happy, customers feel empowered. Whee!

...+ 2*p with S the squared residuals and n the number of observations. Can I get p from arima() (for both non and seasonal cases) result? I am obviously not an expert in the matter, so please accept my apologies if this is a stupid question... Many thanks in advance, - -- Jean-Luc Fontaine http://jfontain.free.fr/ -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.1 (GNU/Linux) Comment: Using GnuPG with Fedora - http://enigmail.mozdev.org iD8DBQFDi1yOkG/MMvcT1qQRAgLkAJ49RWVGG0h2plx3OOA8x1pIQdimXgCfbJ2w kRog3Jj6q5uUHygyLn6Rbuo= =iSXZ -----END PGP SIGNATURE-----

I'm not an engineer so I hope I'm using the correct terminology here. I have a recorded waveform that I want to apply low and high pass filters too, are tehre already R functions existing to do this or am I going to have to program my own? thanks for any pointers tom