similar to: Dendrogram for many cases

Dear R-help, Reccently I've been working on sample size estimates for our forensic scientists and have to make the work accessible to them, preferably in some Windows based graphical form. The obvious choise was Tk via R, so I now have a couple of very nice, user friendly front ends for calculating betas and beta-binomials which run equally well under Windows and other systems (same code -

Hi, hres <- hclust(smatr,method="single") hresd<-as.dendrogram(hres) as.dendrogram(hres) `dendrogram' with 2 branches and 380 members total, at height 2514.513 plot(hresd,leaflab="none") #<-error here. #the plotted dendrogram is incomplete. The x axis is not drawn. #The interested reader can download the save(hresd,file="hres.rda") #from the

Hi all, ok, i know i can cut a dendrogram, which i did. all i get is three objects that a dendrograms itself. for example: myd$upper, myd$lower[[1]], myd$lower[[2]] and so on. of course i can plot them seperately now. but the lower parts still have hundreds of branches. i?ll need a 30 " widescreen to watch the whole picture. what i?d like to is group the lower branches , so that i get a

Dear all, i performed a clusteranalysis - which worked so far... i plotted the dendrogram and sooo many branches, a rough sketch would be enough ;) i tried max.levels therefore which worked, but not for the plot... i used the following plot(hcd,nodePar =nP, str(hcd,max.level=1)) the output on the terminal was: --[dendrogram w/ 2 branches and 196 members at h = 2.70] |--[dendrogram w/ 2

Hi all, Can someone tell me how to justify (right or left) the labels on the branches of a dendrogram tree? I have produced a dendrogram via agnes and plotted it with pltree. The dendrogram terminal branch labels seem to be centre-justified by default and I was hoping to change this to left justification. Thanks, Duncan ***************************************** Dr. Duncan Mackay School of

Hi, I am a beginner for R. I had use gplots to generate a heatmap as following: >heatmap.2(matrix, col=topo.colors(75), dendrogram="column", Rowv=FALSE, trace="none", key=TRUE, keysize=0.8, density.info="none", cexRow=0.2, cexCol=0.6) It work well. It generate heatmap whith rcolumn clustering dendrogram and I can export a very nice graph. But I don not know how

Hi all, This is the first time I'm writing to R-devel, and this time I'm just asking for the purpose for a certain line of code in stats::as.hclust.dendrogram, which comes up as I'm trying to fix dendextend. The line in question is at line 128 of dendrogram.R in R-3.3.3, at stats::as.hclust.dendrogram: stopifnot(length(s) == 2L, all( vapply(s, is.integer, NA) )) Is there any

Dear R users, I have created data for hierarchical agglomerative cluster analysis which consist of the merging pairs and the agglomeration heights, e.g. something like my.merge <- matrix(c(-1,-2,-3,1), ncol=2, byrow=TRUE) my.height <- c(0.5, 1) I'd like to plot a corresponding dendrogram but I don't know how to convert my data to achieve this. Is it possible to create a

Is there any way to change the orientation of the labels on the end of the dendrograms to horizontal rather than vertical? If so, how can I do that. _____________________________________________ Patrick Richardson Biostatistician - Program of Translational Medicine Van Andel Research Institute - Webb Lab 333 Bostwick Avenue NE Grand Rapids, MI 49503 ph. 616.234.5787 This email message,

Hi I have a distance matrix which is computed by user defined method. I would like to plot the dendrogram. I would like to use different color and want the leaves laying down bottom. The script like this. I am not familiar with R. I followed the example shown in http://stat.ethz.ch/R-manual/R-devel/library/stats/html/dendrogram.html dist.obj <- as.dist(matrix.distance) hc.obj <-

Hi, I am clustering objects using the agnes() function and the UPGMA clustering method (function = "average"). Everything works well, but apparently something is wrong with the dendrogram. For example: x<-c(102,102.1,112.5,113,100.3,108.2,101.1,104,105.5,106.3) y<-c(110,111,110.2,112.1,119.5,122.1,102,112,112.5,115) xy<-cbind(x,y) library(cluster) UPGMA.orig<-agnes(x)

Dear I am using the 'as.dendrogram' function from the 'stats' library to convert from an hclust object to a dendrogram with a dataset of size ~30000 (an example code is below). I need the dendrogram structure to use the "dendrapply" and "attributes" functions and to access the child nodes, I do not need any of the plot properties. The problem is that it

Hello, I have been using the "cophenetic" function for objects of class "dendrogram" and I have realised that it gives different results when it is used with objects of class "hclust". For instance, running the first example in the help file of the "cophenetic" function, d1 <- dist(USArrests) hc <- hclust(d1, "ave") d2 <-

Hello, a. when I use hclust with the methods media, centroid, and mcquitty, and plot the results, the dendrograms have lines that are crossing each other. Is this ok? b. My next question refers to plot.dendrogram: How can I use parameters as "hang" or "cex" here? E.g. for st <- as.dendrogram(subtreeshc[[x]]) I would like to have something like this, where cex and hang

Hello, Is it possible to remove those extra margins on the "sample" axis from plot.dendrogram: par(oma=c(0,0,0,0),mar=c(0,0,0,0)) ddr<-as.dendrogram(hclust(dist(matrix(sample(1:1000,200),nrow=100)))) stats:::plot.dendrogram(ddr,horiz=F,axes=F,yaxs="i",leaflab="none") vs. stats:::plot.dendrogram(ddr,horiz=T,axes=F,yaxs="i",leaflab="none")

I would like to explore dendrogam plots interactively. For example, click on a node and return information about all of the children of that node. Is there a high level wrapper for locator() or click() that will return the nearest dendrogram node on a plot? If not, is there a way to obtain the [x,y] coordinates of all the nodes on a plot? Thanks, David David J. States, M.D., Ph.D. Professor

Hello, I've been clustering my data using hclust and cutting the resulting tree with cutree. Separately, I visualize the clusterings with heatmap. Is it possible to have the dendrogram on the heatmap reflect the cutree results? That is, instead of having one large dendrogram, it would have 4 or 25 in the example below. Any guidance on if that's possible or not, and what kinds of

Hello, i'm a research student working on everyday sounds classification. i need to draw a dendrogram to show how the classification is done, but while i never used R before, i guess that a help from someone would be great :) does any one of you did something like that before? Thank you -- Ayoub

Dear List RGui Version : 2.3.0 User : 1 month I am having the *dendrogram plotting problem * The code i tried: >library(cluster) DD<-DataSetS01022 # 575 x 2 matrix > VC<-hclust(dist(DD),"ave") *Warning message: NAs introduced by coercion* ( what does it mean? Is that the problem?) > plot(VC,hang=-2) Output: http://roughjade.blogspot.com Can anyone guide me? Thanks

Dear r-list, I am trying to visually seperate the two main clusters of a dendrogram. The idea is to use: 'edgePar=list(lty=3)' for 'dend1[[1]]' and 'edgePar=list(lty=1)' for 'dend1[[2]]' I have not found a way to solve this. Any suggestions? Patrick hc <- hclust(dist(USArrests), "ave") (dend1 <- as.dendrogram(hc)) par(mfrow=c(2,2)) plot(dend1)