search for: fastcluster

Sabrán disculparme; no solo no encontré cómo calcular como lo hacía R antes, si no que no encuentro una explicación de autoridad. Si encontré la mención al cambio... además del propio cambio. Pero, digo, habrá algún sitio o foro en el que un montón de matemáticos que saben una barbaridad y hablan de tal manera que yo no entiendo, diran algo así como "no, che, eso no está bien así, hay que

...?person for descriptions of fields wouldn't hurt either best, -Michael On 8/8/2011 9:46 AM, Kurt Hornik wrote: > Dear maintainers, > > This concerns the packages > > CITAN ENmisc Formula MSBVAR RExcelInstaller RcmdrPlugin.mosaic > Rd2roxygen Rz SGP betareg expectreg fastcluster glmc gptk heplots pxR > sideChannelAttack sp spacetime trapezoid vcd > > maintained by one of you. > > I see that you have added Author at R fields providing enhanced information > on package authors to your DESCRIPTION files, which since R 2.12.0 is > used for auto-generat...

...etc) ? If there isn't a way to make it faster, are there similar functions(dendrapply, attributes, accessing of child nodes) that use the hclust object instead? as.dendrogram code: https://svn.r-project.org/R/trunk/src/library/stats/R/dendrogram.R library('stats') library('fastcluster') options(expressions=500000) NCols=10 NRows=30000 DataB <-matrix(runif(NCols*NRows), ncol=NCols) HClust <- hclust.vector(DataB ) dhc<- as.dendrogram(HClust) #gets stuck here forever| Best RegardsSobh [[alternative HTML version deleted]]

Hello All, i've a set of observations that is in the form : a, b, c, d, e, f 67.12, 4.28, 1.7825, 30, 3, 16001 67.12, 4.28, 1.7825, 30, 3, 16001 66.57, 4.28, 1.355, 30, 3, 16001 66.2, 4.28, 1.3459, 13, 3, 16001 66.2, 4.28, 1.3459, 13, 3, 16001 66.2, 4.28, 1.3459, 13, 3, 16001 66.2,

Hello all, I am using the clustering functions in R in order to work with large masses of binary time series data, however the clustering functions do not seem able to fit this size of practical problem. Library 'hclust' is good (though it may be sub par for this size of problem, thus doubly poor for this application) in that I do not want to make assumptions about the number of

Hi everyone, I’m looking for a clever bit of code to replace NA’s with a specific score depending on an indicator variable. I can see how to do it using lots of if statements but I’m sure there most be a neater, better way of doing it. Any ideas at all will be much appreciated, I’m dreading coding up all those if statements!!!!! My problem is as follows: I have a data set with

Hi all, a user contacted me about a segfault when installing WGCNA package dowloaded from CRAN. I also see a segfault like that on certain installs of R. The package passes all CRAN checks, so presumably this has something to do with the R installation or environment. The R versions here are not the newest but I would guess that this is not an R version issue. I'm attaching two