Hi all,

I am faced with the situation where I want to store/analyze  
relatively large, organized sets of numerical data, which depend on a  
number of conditions (biological properties, exposure times,  
concentrations etc etc).  Imagine about a hundred dataframes of a few  
thousand numerical values, with some annotation in text for some  
entries.

Intuitively, I would like to be able to slice the data in a 'data- 
cube' kind of way to query, analyze, cluster, fit etc., which  
resembles the database data-cube way of thinking common in de db  
world these days. ( http://en.wikipedia.org/wiki/Data_cube )

I have no knowledge of a package that supports such things in an  
elegant way within R.  If this exists, please point me to it.

Also considering implementing a similar setup myself, I started  
wondering about the possibility of use references (or "pointers"  
aargh) to dataframes and store them in a list etc.   Separate lists  
can then represent different 'views' on the shared instance  
dataframes etc.   I have no knowledge if that is even possible in R,  
and if that is even the smart way to do it.  If someone could provide  
some help, that would be great.

Other option is of course to link to MySQL and do all data handling  
in that way.  Also considering that.

Any thoughts/hints would be appreciated !

thanks,

Piet



--
Dr. P. van Remortel
Intelligent Systems Lab
Dept. of Mathematics and Computer Science
University of Antwerp
Belgium
http://www.islab.ua.ac.be
+32 3 265 33 57 (secr.)


	[[alternative HTML version deleted]]

