search for: analyisis

Displaying 5 results from an estimated 5 matches for "analyisis".

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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 -- View this message in context: http://r.789695.n4.nabble.com/differences-between-survival-models-between-STATA-and-R-tp4635670.html Sent from the R help mailing list archive at...