Displaying 5 results from an estimated 5 matches for "analyisis".
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analisis
2010 Mar 15
0
Making descriptive analyisis in R
when I try to make a package coping R code such as tab1, summ, titleString, setTitle from epicalc package, the following problems are found.
* using log directory 'C:/Rpackage/EpiStat.Rcheck'
* using R version 2.10.0 (2009-10-26)
* using session charset: ISO8859-1
* checking for file 'EpiStat/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package
2009 Feb 13
2
Meta-Analyisis on Correlations
Dear R-Community,
I'm currently trying to find a way to conduct a meta-analysis in R.
I would like to analyze data from mostly-cross-sectional survey-studies. The
effect sizes would be correlations.
The R packages "meta" and "rmeta" are, as far as I can see, set up for
analysis with effect sizes for differences (i.e. comparison of the
means/odds-ratios of experimental
2011 May 05
0
problem with cor() using bigmemory
..., when I increase those values I get the following error:
> AdjMat <- big.matrix(nrow=68000,ncol=68000)
Cannot allocate memory
BigMatrix.cpp line 225
Error in big.matrix(nrow = 68000, ncol = 68000) :
Error: memory could not be allocated for instance of type big.matrix
As a part of my analyisis I need to calculate de correlation coefficient, but when I try to do that in a "smaller" matrix I get this other error.
> A <- big.matrix(nrow=45000,ncol=45000)
> AM <- (cor(A, method="pearson"))
Error in as.vector(data) :
no method for coercing this S4 clas...
2003 Dec 04
2
RE: R performance questions
Hi--
While I agree that we cannot agree on the ideal algorithms, we should be
taking practical steps to implement microarrays in the clinic. I think
we can all agree that our algorithms have some degree of efficacy over
and above conventional diagnostic techniques. If patients are dying
from lack of diagnostic accuracy, I think we have to work hard to use
this technology to help them, if we
2012 Jul 06
4
differences between survival models between STATA and R
Dear Community,
I have been using two types of survival programs to analyse a data set.
The first one is an R function called aftreg. The second one an STATA
function called streg.
Both of them include the same analyisis with a weibull distribution. Yet,
results are very different.
Shouldn't the results be the same?
Kind regards,
J
--
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