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...here are pre-packaged tools (in the spirit of Insigthful I-Miner, for instance) aimed at subsampling or splitting the dataset into data-frameable subdatasets, applying functions record-wise, etc. Thank you very much for your help. Carlos J. Gil Bellosta Sigma Consultores Estad?sticos http://www.consultoresestadisticos.com

...on "equivalent" to the SAS procedure STEPDISC which performs a step process (only available for lm and glm on R) on linear discriminant analysis (lda on R). Does anybody know of a top-the-shelf answer to these questions? Carlos J. Gil Bellosta Sigma Consultores Estad?sticos http://www.consultoresestadisticos.com

...his problem fixing this "bug", but, I insist, I have not been able to find his message again anywhere and I could be totally misled at this point. Has anybody faced the same problem and knows a way to fix it? Sincerely, Carlos J. Gil Bellosta Sigma Consultores Estad?sticos http://www.consultoresestadisticos.com

...r R helpers, It is the first time I have to install R under Linux (Red Hat 9) and as I was setting up the panels, I could not find any png icon to launch the program. Does it exist and I have overlooked it? Can I get it somewhere? Carlos J. Gil Bellosta Sigma Consultores Estad?sticos http://www.consultoresestadisticos.com

Hello, I have a concrete statistical question: I have a sample of an univariate mixture of an unknown number (k) of normal distributions, each time with an unknown mean `m_i' and a standard deviation `k * m_i', where k is known factor constant for all the normal distributions. (The `i' is a subscript.) Is there a function in R that can estimate the number of normal distributions k

When I originally posted my question under ( C-c C-c does not kill data editor), I thought that it was a problem with ESS rather than R. However, I have tried to do the same from a command line R (R 1.8.1 (2003-11-21). on a debian testing i386 machine) and I got the same problem. Specifically I cannot kill the DataEntryWindow by issuing C-c (control c). However, unless I issue the C-c command the

Dear r-helpers, I know that there has already been enough questions on IO performance these last days, but I came accross the following situation today. I was comparing the performance of R with that of SAS's Risk Dimensions at generating random "scenarios". My dataset --all numeric entries-- would nicely fit into RAM and R would outperform SAS until... I wanted to export the