search for: corm

...ply(cData4, plotGraph)) system.time(out <- mclapply(cData5, plotGraph)) system.time(out <- mclapply(cData6, plotGraph)) plotGraph() <- function(cData) { cl = unname(cor(cData)) result = cbind(as.vector(row(cl)),as.vector(col(cl)),as.vector(cl)) result = result[result[,1] != result[,2],] corm = result corm =corm[abs(corm[,3]) >= CORRELATION, ] # remove low cor pairs library(network); library(sna) net <- network(corm, directed = F) # the network cd <- component.dist(net) # component analysis delete.vertices(net, which(cd$csize[cd$membership] == 1)) # delete genes not connected...

Hi. I have a 925 by 925 correlation matrix corM. I want to identify all variables that have correlation greater than 0.9. Can anyone suggest an "R way" of doing this? Thank you. -- View this message in context: http://www.nabble.com/search-through-a-matrix-tp23153538p23153538.html Sent from the R help mailing list archive at Nabble....

...construct a 2D matrix c1 = cor(rdata) #outputs a correlation matrix Now I want to convert the 2D c1 to (row#, col#, correlation) 1 1 cor1 1 2 cor2 1 3 cor3 ... 2 1 cor.. Is there a way to do this? The main reason I am doing this is to find a correlation based graph for values >= 0.85 using, corm <- corm[abs(corm[,3]) >= 0.86, ] library(network); library(sna) net <- network(corm, directed = F) cd <- component.dist(net) delete.vertices(net, which(cd$csize[cd$membership] == 1)) plot(net) Are there any better ways to plot the 2D correlation matrix for correlations >= 0.85 Plea...

Greetings, 1) Is there a nice way of extracting the variance estimates from an lme fit? They don't seem to be part of the lme object. 2) In a series of simulations, I am finding that with ML fitting one of my random effect variances is sometimes being estimated as essentially zero with massive CI instead of the finite value it should have, whilst using REML I get the expected value. I guess

...(PDT) > From: onyourmark <william108 at gmail.com> > Subject: [R] search through a matrix > To: r-help at r-project.org > Message-ID: <23153538.post at talk.nabble.com> > Content-Type: text/plain; charset=us-ascii > > > Hi. I have a 925 by 925 correlation matrix corM. I want to identify all > variables that have correlation greater than 0.9. Can anyone suggest an "R > way" of doing this? > > Thank you. >