similar to: lists: removing elements, iterating over elements,

Dear All, I have a dissimilarity matrix which I happily convert to a distance object by running: X <- as.dist(Y) and I can happily now run either hclust(X) or agnes(X). So that the various bits of output are labelled correctly I would dearly like to be able to give names to the columns and rows of X, as would happen if I ran: mydata<-read.table("clipboard",header=T)

Hi all, I wanted to run the hclust (or any other clustering algorithm) on a distance matrix. I have formed the distance matrix as: distmat: a b c d e a 0.00 0.96 1.60 1.60 1.68 b 0.96 0.00 0.96 1.80 2.64 c 1.60 0.96 0.00 0.84 1.80 d 1.60 1.80 0.84 0.00 0.96 e 1.68 2.64 1.80 0.96 0.00

Hi All, i've problem to understand how to work with R to generate a hierarchical clustering my data are in a csv and looks like : idcode,count,temp,sal,depth_m,subs 16001,136,4.308,32.828,63.46,47 16001,109,4.31,32.829,63.09,49 16001,107,4.302,32.822,62.54,47 16001,87,4.318,32.834,62.54,48 16002,82,4.312,32.832,63.28,49 16002,77,4.325,32.828,65.65,46 16002,77,4.302,32.821,62.36,47

Hi everyone - I know that R is capable of clustering using the k-means algorithm, but can R do k-means++ clustering as well? Thanks, -- Dr. Ferebee Tunno Assistant Professor Department of Mathematics and Statistics Arkansas State University P.O. Box 70 State University, AR. 72467 ftunno@astate.edu (870) 329-7710 [[alternative HTML version deleted]]

Hi all, I have a dataframe of rownames that I would like to extract from a larger matrix to form a new matrix. I have tried to use subset, in this manner x<-subset(largematrix, rownames$names=largematrix$rownames) where largematrix is the larger matrix and rownames$names is the dataframe with the row names of the rows I want to extract from the larger matrix. Of course, I get error

Dear useRs, I have a very basic question. I have a distance matrix and i skipped the upper part of it deliberately. The distance matrix is 1000*1000. Then i used "min" command to extract the lowest value from that matrix. Now i want to know what is the location of that lowest element? More precisely, the row and column number of that lowest element. Thanks in advance elisa

I'm trying to perform a mantel test that ignores specific pairs in my distance matrices. The reasoning is that some geographic distances below a certain threshold suffer from spatial autocorrelation, or perhaps ecological relationships become less relevant that stochastic processes above a certain threshold. The problem is that I can't find a way to do it. If I replace values in either or

I'm working with capscale and permutest for the first time, and having trouble getting statistical analyses for more than one constraining variable. I've read the documentation, but setting first=FALSE or using by="axis" doesn't seem to be helping. capscale seems to be fine, I receive output for more than one constrained axis. What am I doing wrong?

Hi all, Thanks for your help in generating the matrix of distance vs correlation. I did it using plot(as.vector(as.matrix(cormat)), as.vector(as.matrix(distmat))) Now I want to quantitate the same. May be on linear regression or some other statistical functions. I have tried using linmod for linear regression. But as I have two matrices in the form of the dataframes, I'm wondering if it

Dear All, I have written the following programs to find a non-singular (10*10) covariance matrix. Here is the program: nitems <- 10 x <- array(rnorm(5*nitems,3,3), c(5,nitems)) sigma <- t(x)%*%x inverse <- try(solve(sigma), TRUE) while(inherits(inverse, "try-error")) { x <- array(rnorm(5*nitems,3,3), c(5,nitems)) sigma <- t(x)%*%x inverse <-

Hello, Does anyone knows how to deal with zero subscript in R. I have this code: for (i in 1:nitems){ + for (j in 1:ncat-1) { + draw<-matrix(rnorm(nitems*(ncat-1),seed1,seed2),nitems,(ncat-1)) + d<-( sigma_d*draw ) + mu_d + draw<-matrix(rtnorm((nitems*(ncat-1)),mean = seed1, sd = seed2, lower = .1, upper = 1.5),nitems,(ncat-1)) +

problem of the very large memory require by the Sign extension. --- R-2.5.0.orig/src/main/serialize.c 2007-03-27 01:42:08.000000000 +0900 +++ R-2.5.0/src/main/serialize.c 2007-06-25 00:48:58.000000000 +0900 @@ -1866,7 +1866,7 @@ static void resize_buffer(membuf_t mb, int needed) { - int newsize = 2 * needed; + size_t newsize = 2 * needed; mb->buf = realloc(mb->buf,

Dear R users, I wish to utilise processed and saved objects as arguments of a function. Specifically, I have created objects using *"assign"* & *"paste"* functions with an incremental index i, the names of the objects are: fund1, fund2, fund3,....., fund80,..... (where the numerical value increments according to the index i & class of these objects are

Version 3.1.0 of R has imposed a very small data limit on writing to fifos on Linux. Consider the following R code (Assumes that "ff" is a fifo in the R process's current directory): con <- fifo("ff", "a+b") writeBin(raw(12501), con) In R 3.0.3, this returns without error and the data is available on the fifo. In R 3.1.0, however, this returns the following

Hi, I'm trying to cross-compile R to javascript so that it can run in a web-browser. Take as long as you need to stop laughing. So, as I was saying - I want to try and get a build of R running in the browser. [If you're not familiar with it already, you might enjoy looking at emscripten.org. It's a remarkably capable tool for translating LLVM bitcode to javascript. Check out some of

I have a product listing of 9 per-page. The products on the far right and bottom row should NOT have a border on the aforementioned sides. So, similar to a noughts and crosses layout. However, pages do not always have 9 products to display. You may have a better understanding if you see the code I''m currently using: http://pastie.org/1223260 The code above is passed inside a block and

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Hi, I''ve been trying to find an answer for this problem in the last couple hours, but I think no discussion was about this exact same thing. So here it goes, hope someone can help. I''m trying to spec a view which works correctly on the browser, but that generates the following error when I run "rake spec:views". ActionView::TemplateError in ''/survey/show

It obviously would be nice to have such a mode available, for e.g. DVD audio compression. Apparently, the list doesn''t tell me too much about it. My questions are: 1. What is the current status of the 5.1 channel coupling in Vorbis? 2. If I''ll be interested in participation in its development, what is the recommended reading? -------------- next part -------------- An HTML

Hello, The Xen community is working on a new virtualization mode (or maybe I should say an extension of HVM) to be able to run PV guests inside HVM containers without requiring a device-model (Qemu). One of the advantages of this new virtualization mode is that now it is much more easier to port guests to run under it (as compared to pure PV guests). Given that FreeBSD already supports