search for: coost

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2003 Jul 10
3
Help with R Installation on Debian 2.2.19 (old stable/potato)
Hi all, I hope this is the correct list to post such a question. I was trying to install the R-project on Debian and encountered significant problems with the same. The main problem is the installation of the libc6 package. I need this package in order to install the R-core package. However, the libc6 is dependent on the libdb1-compat package, which just refuses to install on my server.
2003 Mar 28
2
file.show("morley.tab") responds "NO FILE"
...recommended packages Perhaps others don''t have this same file.show("morley.tab") problem, but if others do have this problem, then this beginners'' documentation should alter a couple lines on page 81. -- Jameson C. Burt, NJ9L Fairfax, Virginia, USA jameson at coost.com http://www.coost.com (202) 690-0380 (work) -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/pgp-signature Size: 240 bytes Desc: not available Url : https://stat.ethz.ch/pipermail/r-help/attachments/20030328/f65bc83f/attach...
2001 Dec 05
2
Detecting numerical value in character variable
...7 #check number SALARY:10-1-01 #salary deposited on 10/1/2001 TRANSF:10-23-01 #transfer between accounts on 10/23/2001 These non-numerical descriptive entries speed balancing my checkbook, especially when I error. -- Jameson C. Burt, NJ9L Fairfax, Virginia, USA jameson at coost.com http://www.coost.com (202) 690-0380 (work) -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body&q...
2006 Jul 24
2
RandomForest vs. bayes & svm classification performance
Hi This is a question regarding classification performance using different methods. So far I've tried NaiveBayes (klaR package), svm (e1071) package and randomForest (randomForest). What has puzzled me is that randomForest seems to perform far better (32% classification error) than svm and NaiveBayes, which have similar classification errors (45%, 48% respectively). A similar difference in