similar to: MDS with ranking data (and transformation)

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

Hello, in marketing-science field i do some clusteranalysis and get the experience that the scale cause the results dramatic! What recommendation can somebody give me, when i use nominal-variables(recode to 0/1 variables) with 6 point ordinal-variables. Is it better toDo a z-transformation with the ordinal variables , or should i recode this values in 0/1 binaries, too! P.S. Which is a good

Hi The short version of my questions is this: How can I run a chi-square test over a matrix (table) to get the distanaces between rows and then run a SingleLinkage (or other fusion algorithm over the resulting table? ------------ The long-version of my question: My data consists of different data of different countries so I have stuff like how many people can read, write in X,Y,Z countries

Dear all, i have a little trouble with cutting an understanding the handling of dendrogram and hclust. plotting clusters does work and it delivers a dendrogram. the problem is that the dendrogram shows lots of pretty small clusters and only some larger ones. i know that this has to do with my data. But is there possibility to tell the plot function just to plot the clusters with more than

I'm shure that this kind of question is asked not for the fist time, but i would be glad if someone of you could help me out I have a data.frame like this : subjnr group block data 1 33 1 1 564.476 2 33 1 1 289.185 3 33 1 1 483.372 4 33 1 1 1461.260 5 33 1 1 315.353 6 33 1 1 351.870 7 33

Hi R-helpers, I've been struggling with a problem for most of the day (!) so am finally resorting to R-help. I would like to subset the columns of my dataframe based on the frequency with which the columns contain non-zero values. For example, let's say that I want to retain only those columns which contain non-zero values in at least 1% of their rows. In Excel I would calculate a row

HI, (1) ...thanks for the last comments to tcltk & Win2000. (2) - i'm newbie in tcl/tk but would like learn fast and develop (learning by doing) a tcl/tk clusterAnalysis application which combine some clusterMethods from different Rpackages. i use the tkttest.R example as "reference" and become not finished for my "first" step???? (3) how is it possible that the code

Hi Folks, We can see these massages on our MDS Feb 12 12:46:08 mds01 kernel: LDISKFS-fs warning (device dm-0): empty_dir: bad directory (dir #31452569) - no `.'' or `..'' Feb 12 12:46:08 mds01 kernel: LDISKFS-fs warning (device dm-0): ldiskfs_rmdir: empty directory has too many links (3) It seem to indicate that we have bad(corrupted) directory. Do you have any idea how to

Hello! I need to perform weighted multidimensional scaling analysis(WMDS). I did rsitesearch, googled, but I could find no info on how to perform WMDS using R. In several places they say it is possible with the ALSCAL algorithm, but I could not find the relevant function to carry it out. ----------------------------------------------------------------- ???????? ?? ??????? ?? ??? ???????????!

Hi I used lustre-1.8.3 for Centos5.4. I patched the kernel according to Lustre 1.8 operations manual.pdf. I have a problem when I want to implement quota. My cluster configuration is: 1. one MGS/MDS host (with two devices: sda and sdb,respectively) with the following commands: 1) mkfs.lustre --mgs /dev/sda 2) mount -t lustre /dev/sda /mnt/mgt 3) mkfs.lustre --fsname=lustre

Hi, I need math function which is used in: isoMDS, Sammon and metaMDS method. Anybody know where I may find it? Any manual or webside? I would be very happy Thanks a lot ! -- View this message in context: http://n4.nabble.com/math-function-MDS-method-tp1008294p1008294.html Sent from the R help mailing list archive at Nabble.com.

Hi! I have a dissimilarity matrix X and try to compare it with X' = dist(cmdscsale(X,k)). If I increase k, I should expect that the error (or fit) should monotonically decrease, right. Here is a sample code; library(mva) set.seed(12345) x <- as.matrix(dist(matrix(rnorm(100),ncol=10,byrow=T))) # x[1,2]<-x[2,1]<-1000 ## <<--** 1 # x[5,6]<-x[6,5]<-1000 ##

i know cmdscale and isoMDS inR can do classical and non-metric MDS.but i want to konw if there is packages can carry on "individual differences scaling" and "multidimensional analysis og preference"?both method are important one,but i can not find any clue on how to do it using R. anyone can help? thank you!

Hi all, we have two servers A, B as a failover MGS/MDT pair, with IPs A=10.12.112.28 and B=10.12.115.120 over tcp. When server B crashes, MGS and MDT are mounted on A. Recovery times out with only one out of 445 clients recovered. Afterwards, the MDT lists all its OSTs as UP and in the logs of the OSTs I see: Lustre: MGC10.12.112.28 at tcp: Connection restored to service MGS using nid

Dear all, My data includes almost three thousand people who rank ten categories into three variables. The simple example below is almost same except I have many missing values. x <- cbind( sample( LETTERS[1:10] , 3000 , replace = TRUE ) , sample( LETTERS[1:10] , 3000 , replace = TRUE ) , sample( LETTERS[1:10] , 3000 , replace = TRUE ) ) I try to figure

The Release notes indicate that fencing support for the Cisco MDS 9124 and 9134 Fabric Switches have been added as a Technology Preview. I'd love to use this but it doesn't seem to be visible as a choice when using the web interface for configuring the cluster. I'm not averse to doing it by hand but I'm not sure of the XML syntax for that device in the cluster file. Anyone

On 2/23/2020 11:44 AM, Rowland penny via samba wrote: > On 23/02/2020 16:05, TomK wrote: >> On 2/21/2020 9:18 PM, Andrew Bartlett via samba wrote: >>> On Fri, 2020-02-21 at 20:48 -0500, TomK wrote: >>>> >>>> >>>>> >>>>> "Sadly this really appears to be is a client issue.? You see there the >>>>> string

Dear All, I am not familar with R. I want to use PCA (principal components analysis) and MDS (multidimensional scaling). Can someone tell me which R package I should use for PCA and MDS? I appreciate your help in advance. Ray

What are the limitations on size of matrix for MDS functions? steve -- Steve Antos Priva-Technologies 847-640-9020 x3114 cell (540)409-1231 [[alternative HTML version deleted]]

Hello I am using the following command but not able to text the values on the graph can someone please make suggestions for improvement #here is the command loc_mds <- cmdscale(dist.r, k = 7, eig = TRUE) loc_mds$eig sum(abs(loc_mds$eig[1:2]))/sum(abs(loc_mds$eig)) sum((loc_mds$eig[1:2])^2)/sum((loc_mds$eig)^2) x <-loc_mds$points[,1] y <-loc_mds$points[,2] plot(x, y,