Displaying 5 results from an estimated 5 matches for "nj9l".
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1998 Jan 17
1
R-beta: command-line editing not working in Debian Linux version
...LEDITOR=vi
however, hopefully, the readline [not the S/R readline() function, but the
readline library] file ~/.inputrc parameters would work to set "vi" mode and
other readline parameters (if the readline library gives this command line
functionality in R, that is).
--
Jim Burt, NJ9L, Fairfax, Virginia, USA
jameson at mnsinc.com http://www.mnsinc.com/jameson
jameson at pressroom.com
"It is not the shortcomings of others, nor what others have done or not
done that one should think about, but what one has done or not done oneself."
--Dhammapada ["dp" comm...
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"
...s library
r-recommended collection of 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)
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2001 Dec 05
2
Detecting numerical value in character variable
...tries like
(excluding # comments),
3117 #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)
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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