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]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
