similar to: to draw a too big clutering picture

On 02/01/2017 06:44 AM, Jonathan Billings wrote: > On Wed, Feb 01, 2017 at 02:32:53PM +0000, Gary Stainburn wrote: >> A while back, after doing a yum update, a new version of Firefox was >> installed and since then, the contents of my pages don't fit any >> more because the buttons are now much bigger. >> >> I've done some searching and to be honest

Dear R Specialists, when trying to cluster a data.frame with about 80.000 rows and 25 columns I get the above error message. I tried hclust (using dist), agnes (entering the data.frame directly) and pam (entering the data.frame directly). What I actually do not want to do is generate a random sample from the data. The machine I run R on is a Windows 2000 Server (Pentium 4) with 2 GB of

Hi, this is rather a (presumed) bug report than a question because I can solve my personal statistical problem by working with hclust instead of agnes. I have done a complete linkage clustering on a dist object dm with 30 objects with agnes (R 1.8.0 on RedHat) and I want to obtain the partition that results from a cut at height=0.4. I run > cl1a <- agnes(dm, method="complete")

Hi, this is rather a (presumed) bug report than a question because I can solve my personal statistical problem by working with hclust instead of agnes. I have done a complete linkage clustering on a dist object dm with 30 objects with agnes (R 1.8.0 on RedHat) and I want to obtain the partition that results from a cut at height=0.4. I run > cl1a <- agnes(dm, method="complete")

I try to perform a clustering using an existing dissimilarity matrix that I calculated using distance (analogue) I tried two different things. One of them worked and one not and I don`t understand why. Here the code: not working example library(cluster) library(analogue) iris2<-as.data.frame(iris) str(iris2) 'data.frame': 150 obs. of 5 variables: $ Sepal.Length: num 5.1 4.9 4.7

Hello, I had a question regarding clustering using the agnes() function from the 'cluster' package. I was wondering if anyone knew how I can identify cluster points after running the agnes function. For example, I created a dataset with points randomly scattered around (0,0), (0,1) and (1,0). After clustering, the dendrogram shows all the clustered points and I get the ordering and

Hello, In the documentation for agnes in the package 'cluster', it says that NAs are allowed, and sure enough it works for a small example like : > m <- matrix(c( 1, 1, 1, 2, 1, NA, 1, 1, 1, 2, 2, 2), nrow = 3, byrow = TRUE) > agnes(m) Call: agnes(x = m) Agglomerative coefficient: 0.1614168 Order of objects: [1] 1 2 3 Height (summary): Min. 1st Qu. Median Mean 3rd

Hi, I'm mighty new to R. I'm using it on Windows. I'm trying to cluster using a distance matrix I created from the data on my own and called it D10.dist. I loaded the cluster package. Then tried the following command... > agnes("E:D10.dist", diss = TRUE, metric = "euclidean", stand = FALSE, > method = "average", par.method, keep.diss = n < 1000,

Hello all! I am performingsome clustering analysis on microarray data using agnes{cluster} and I have created my own dissimilarity matrix according to a distance measure different from "euclidean" or "manhattan" etc. My question is, if I choose for example method="complete", how are the distances between the elements calculated? Are they taken form the dissimilarity

Background: OS: Linux Mandrake 10.1 release: R 2.0.0 editor: GNU Emacs 21.3.2 front-end: ESS 5.2.3 --------------------------------- Colleagues Is there a function in R that is an equivalent of zoom in matlab? This is very useful for being able to magnify details in a plot. I have searched the help for "zoom", "interactive zooming", and "magnify". The R search

Dear R users, I discovered something strange using the function agnes() of the cluster package on R 3.0.1 and on R 2.14.1. Indeed, the clusterings obtained are different whereas I ran exactly the same code. I quickly looked at the source code of the function and I discovered that there was an important change: agnes() in R 2.14.1 used a FORTRAN code whereas agnes() in R 3.0.1 uses a C code.

Hi, I'm trying to use the cluster package and I'm having some trouble... I always get the message: > myagnes <- agnes("datafile.dat") > Error: could not find function "agnes" the package cluster is listed in the library() command, and I can reach the help files from Agnes as well I know that this can be some really easy thing to fix, but right now I have no

Hello! I created a distances matrix for 13 objects using daisy (see the attached file). I am trying to clusteranalyse it using agnes but it's not working. What might be the problem: mydistances<-read.csv("Results of daisy.csv") mycluster<-agnes(mydistances, method="ward") I am getting: Error in agnes(mydistances, method = "ward") : NA/NaN/Inf in foreign

This is only a minor annoyance, but mouse wheel zooming on LNT graphs is pretty broken on at least OSX. It does not work correctly on Chrome, Safari or Firefox. On Safari and Chrome the zoom is way to sensitive, on Firefox, the page scrolls while mouse wheel zooming. This appears to be a limitation of the flot graphing package we use. Does LNT’s mouse wheel zooming work better for people Linux

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)

I haven't read the book, but could anyone explain more about this parameter? help(agnes) says that ac measures the amount of clustering structure found. From the definition given in help(agnes.object), however, it seems that as long as the dissimilarity of the merger in the final step of the algorithm is large enough, the ac value will be close to 1. So what does ac really mean? Thank

Dear R-gurus, I would like to zoom in a plot, e.g. I select a region on the x-axis and then I would like the ranges on the y-axis to change accordingly. Is it possible to do this with existing functions, or do I have to invent some data selection before plotting? See below a short example, where I select ylim with trial and error, which I want to avoid. Cheers, Henrik Andersson

I''m working on a mapstraction implementation modeled after the radius search feature. (http://mapstraction.com/demo-radius.php) I''d like to recognize when the user extends the radius beyond the visible edges of the map and adjust the zoom level. I''m not seeing how to test this when redrawing the circle. I thought maybe I wanted to use polylineCenterAndZoom()

On 9 May 2014 05:47, Bob Wilson <bob.wilson at apple.com> wrote: >> I think mouse wheel zoom should be turned off, in favor of traditional double click to zoom, and zoom in/out buttons. > > Yes, please! +1

Dear list, I'm using the function "movie3d" in the package "rgl" to create a .gif animation of a 3d graphic. The program "ImageMagik" is working properly, R packages are working, basic examples available in the manual also working fine. Problem Solved: when I tried to create more complex movies, i.e. combining different views and zooming, the R-console crashed