similar to: R Hierarchical clustering leaf node

I want to make a log-log plot with a regression line, but I can't figure out what I'm doing wrong. What I'm trying is: plot(mass,area, log="xy", pch=as.numeric(food)) abline(lm(mass~area)) or plot(mass,area, log="xy", pch=as.numeric(food)) islands$logmass <- log(mass) islands$logarea <- log(area) attach(islands) abline(lm(logmass~logarea)) But that does

Can anyone answer if we will get zfs de-duplication before SXCE EOL? If possible also anser the same on encryption? Thanks -- This message posted from opensolaris.org

Hi all, I checked the archive and didn't see an anser to this. I updated to Suse 9.2 with kde 3.3 and the installed version of R (from the suse 9.1) rpms came up with the following failed dependencies (after querying the rpm) error: Failed dependencies: libg2c.so.0 is needed by R-base-patched1.9.0-1 libreadline.so.4 is needed by R-base-patched1.9.0-1 My question

You should be able to click Tools/Disconnect Network Drive from a Windows Explorer window, then select the connection to the Samba server and click ok. Note, this can be done even if the connection was not mapped to a drive letter, such as by typing \\server\share in the run box. You can then map a drive to the server with a different user account. Steve Aden Privileged/Confidential Information

Suppose I have the following square, non-negative matrices > g=matrix(c(0,2,4,0.25,0,0,0,0.6,0),3,3,byrow=T); I want to create a list where this matrix is repeated multiple times. if I do this brute force (manually), using > env <- list(g,g,g) works fine. Yields [[1]] [,1] [,2] [,3] [1,] 0.00 2.0 4 [2,] 0.25 0.0 0 [3,] 0.00 0.6 0 [[2]] [,1] [,2] [,3] [1,]

Hey Everyone! I wanted to carry out Hierarchical clustering using distance matrices i have calculated ( instead of euclidean distance etc.) I understand as.dist is the function for this, but the distances in the dendrogram i got by using the following script(1) were not the distances defined in my distance matrices. script: var<-read.table("the distance matrix i calculated",

Hey group, I have a problem of drawing dendrogram as the result of my program written in C. My algorithm is a approximation algorithm for single linkage method. AS a result I will get the following data: [Average distance] [cluster A] [cluster B] For example: 42.593141 1 26 42.593141 4 6 42.593141 123 124 42.593141 4 113 74.244206 1 123 74.244206 4 133 74.244206 1 36 So far I have used C to

Hi everyone, I just installed asterisk on my system with the purpose of rerouting calls on sip channels. I don't think i need any hardware for that. I am using LIPZ4(zultys) and sjphone as softphones. I tried setting up both of them and to call one from the other on the same machine, however could not. I 1-) I could connect sjphone in isolation to freeworld dialup howver i got no sounds

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,

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, I would like to be able to access the calculated results from the nls package. Using the example in R, fm3DNase1 we can reurn certain parts of the calculations: > coef(fm3DNase1) Asym xmid scal 2.345179 1.483089 1.041454 > resid(fm3DNase1) [1] -0.0136806237 -0.0126806237 0.0089488569 0.0119488569 -0.0025803222 [6] 0.0064196778 0.0026723396 -0.0003276604

Hi, I'm new to R; this is my second email to this forum. I have a dataset that looks like this: Gene A B C D A 511 6116 1515 1515 B 164 115 1515 494 C 21646 D

Hi There, I'm working on some cluster analyses on a large data-set using hclust with Wards method and Manhattan (city block) distance measures. I've created dendrograms to illustrate the clustering criteria, but would like to create a plot to examine for the classic elbow criterion to use in determining the best number of clusters. Ideally I'd like to plot percent variance explained

Hi, I have tried looking at the archives but havent found any answer that works till now (Sorry if i have missed anything) I am a newbie to R and i am trying to carry out hierarchical clustering using hclust -> as.dendrogram and then plotting the results as a dendrogram using the plot function plot(object). My question is : In the function "plot", can one decrease the leaf label

One of our clients has Asterisk with single T1 card (T100P). T100P gets only incoming calls. Is there a way to block specific channels (say channel 9 and 24) so that the Telco does not send calls on those channels? Thanks, -- sudhir

Dear All, How can the height of a leaf be extracted from a dendrogram? Sure, I can print it, but I am not able to, say, store it in an object. I think I understand that the height is a property of the split, not the leaf itself, but the printing functions display a "height" or "h" (which changes with "hang") and that is what I want. Obviously, the info is there

Suppose I want to create a structure containing the following values: 0.8,0.9,1.0,1.1,1.2 If I use env <- list(0.8,0.9,1.0,1.1,1.2) then R returns > env [[1]] [1] 0.8 [[2]] [1] 0.9 [[3]] [1] 1 [[4]] [1] 1.1 [[5]] [1] 1.2 But, if I try to 'save some key-strokes', and use env <- list(seq(0.8,1.2,by=0.1)) then R returns > env [[1]] [1] 0.8 0.9 1.0 1.1 1.2 I'd

Complete newbie to R -- struggling with something which should be pretty basic. Trying to create a simple data set (which I gather R refers to as a data.frame). So > a <- c(1,2,3,4,5); > b <- c(0.3,0.4,0.5,0,6,0.7); Stick the two together into a data frame (call test) using cbind > test <- data.frame(cbind(a,b)) Seems to do the trick: > test a b 1 1 0.3 2 2 0.4 3 3

Dear R user, I am a biochemist/bioinformatician, at the moment working on protein clusterings by conformation similarity. I only started seriously working with R about a couple of months ago. I have been able so far to read my way through tutorials and set-up my hierarchical clusterings. My problem is that I cannot find a way to obtain information on the rooting of specific nodes, i.e. of

Hello all, I wish to compare two dendrograms (representing Hierarchical Clusterings). My problems are several: 1) how do I manually create a dendrogram object ? That is, how can I reconstruct it as an "hclust" object that creates such a dendrogram, when all I have is the dendrogram image (but don't have the underlaying distance matrix that produced it) ? I see that there is a