Displaying 10 results from an estimated 10 matches for "0.0450".
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0.0400
2010 May 13
1
tune svm
Hello, I hope you can help me!
I`m trying to tune svm parameters: cost and gamma for a landsat image
classification, but I get an error and I can't understand it.
I write this:
> tune(svm, Class~., data = mdt01bis, ranges = list(gamma = 2^(-15:3), cost
> = 2^(-5:15)))
and R gives:
Error en predict.svm(model, if (!is.null(validation.x)) validation.x else if
(useFormula)
2011 Jul 27
2
Writing a summary file in R
Hello,
I have an input file:
http://r.789695.n4.nabble.com/file/n3700031/testOut.txt testOut.txt
where col 1 is chromosome, column2 is start of region, column 3 is end of
region, column 4 and 5 is base position, column 6 is total reads, column 7
is methylation data, and column 8 is the strand.
I would like a summary output file such as:
2011 May 03
1
Unexp. behavior from boot with multiple statistics
I am attempting to use package boot to summarize and compare the performance
of three models. I'm using R 2.13.0 in a Win32 environment.
My statistic function returns a vector of 6 values, 3 of which are error
rates for different models, and 3 are pairwise differences between those
error rates. It looks like:
multiEst<-function(dat,i)
{
....
c(E1,E2,E3,E2-E1,E3-E1,E3-E2);
}
2011 Apr 20
2
survexp with weights
Hello,
I probably have a syntax error in trying to generate an expected
survival curve from a weighted cox model, but I can't see it. I used
the help sample code to generate a weighted model, with the addition
of a "weights=albumin" argument (I only chose albumin because it had
no missing values, not because of any real relevance). Below are my
code with the resulting error
2006 Jan 27
1
about lm restrictions...
Hello all R-users
_question 1_
I need to make a statistical model and respective ANOVA table
but I get distinct results for
the T-test (in summary(lm.object) function) and
the F-test (in anova(lm.object) )
shouldn't this two approach give me the same result, i.e
to indicate the same significants terms in both tests???????
obs.
The system has two restrictions:
1) sum( x_i ) = 1
2) sum(
2007 Apr 18
0
Have you seen how these sub-one-cent companies take off on
Good News? For the past two months, every one we have
brought you has shown Amazing Appreciation.
At such a low price even the smallest Gain means a
Significant Percentage Return.
We called (P)(P)(T)(L) as one to watch on Friday because of a
Highly Anticipated Report from the Field. It moved up 13%
on Friday and the news
2008 Mar 02
0
coxpath() in package glmpath
Hi,
I am new to model selection by coefficient shrinkage
method such as lasso. And I became particularly
interested in variable selection in Cox regression by
lasso. I became aware of the coxpath() in R package
glmpath does lasso on Cox model. I have tried the
sample script on the help page of coxpath(), but I
have difficult time understanding the output.
Therefore, I would greatly appreciate if
2007 Apr 18
0
Have you seen how these sub-one-cent companies take off on
Good News? For the past two months, every one we have
brought you has shown Amazing Appreciation.
At such a low price even the smallest Gain means a
Significant Percentage Return.
We called (P)(P)(T)(L) as one to watch on Friday because of a
Highly Anticipated Report from the Field. It moved up 13%
on Friday and the news
2002 Mar 25
2
Extreme value distributions (Long.)
This may not actually be an R/Splus problem, but it started
off that way .....
===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===
Executive summary:
==================
Simulations involving extreme value distributions seem to ``work''
when the underlying distribution is exponential(1) or exponential(2)
== chi-squared_2, but NOT when the underlying distribution is
2016 Nov 30
4
[RFC] Parallelizing (Target-Independent) Instruction Selection
> Mehdi Amini <mehdi.amini at apple.com> 於 2016年11月30日 上午5:14 寫道:
>
>>
>> On Nov 29, 2016, at 4:02 AM, Bekket McClane via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at lists.llvm.org>> wrote:
>>
>> Hi,
>> Though there exists lots of researches on parallelizing or scheduling optimization passes, If you open up the time matrices of