similar to: how to cluster vectors of factors

Hi I have a problem using the package cluster on my binary data. I want to try mona at first. But i get the an error. hc<-read.table("all.txt", header=TRUE, sep="\t", row.names=1) srt(hc) `data.frame': 51 obs. of 59 variables: $ G1p : int 2 1 1 1 1 1 1 1 1 1 ... $ G1q : int 1 1 1 1 1 1 1 1 1 1 ... $ G2p : int 1 1 1 1 1 1 1 1 1 1 ... $ G2q : int 1 1 1 1 1 1

Hello all, I what to print the banner plot that is output from the mona method in the cluster package but the problem is I dont want to print all that red ink. Here is an example: data(animals) ma <- mona(animals) ma ## Plot similar to Figure 10 in Struyf et al (1996) plot(ma) I can change the bar color by using the argument col=c(0,0) - plot(ma,col=c(0,0)) - but then the variable labels also

Hi! I am trying to calculate a dissimilarity matrix using daisy. The matrix vectver is binary as i test with: > levels(as.factor(vectver)) [1] "0" "1" But the call to daisy gives me the following error message.: > dfl1 <- daisy(vectver, type = list(asymm = c(1:length(vectver[,1])))) Error in daisy(vectver, type = list(asymm = c(1:length(vectver[, 1])))) : at least

Asterisk work does not pay all of my bills, so I have joined up with a company that has a very good payment plan. I have recently become a Mona Vie Independent Distributor. I am not going to go into a sales pitch. This is just an FYI to this opportunity. The company has grown into a Billion dollar company in just 2 years. This company's compensation plan is the best and quickest that I have

I am having trouble installing cluster from R-1.5.0-recommended : R CMD INSTALL *.tar.gz ... g77 -fPIC -g -O2 -c pam.f -o pam.o g77 -fPIC -g -O2 -c spannel.f -o spannel.o g77 -fPIC -g -O2 -c twins.f -o twins.o cp: cannot access *.so ERROR: compilation failed for package 'cluster' [34] /home/com1/gilp/Rlibs/R-1.5.0-recommended : This is with R-1.5.0 on Solaris 5.8 using gcc

Hello, I'm using R 1.40 on MacOS X X.1.2 (installed via the fink package manager). To upgrade my installed packages, I tried to use update.packages() today. All went well for most packages, with the exception of KernSmooth and cluster. In both cases, libraries were not found although I think they are present. Here's what happened: ---------------------------------- >

Regarding Tengfei Yin's post about an error trying to install "cluster" in 2.13.0, I have gotten an error with this package when trying to install the released version of 2.12.0. Here is the output on an Ubuntu Linux system: begin installing recommended package cluster * installing *source* package 'cluster' ... ** libs make[3]: Entering directory

I need some help understanding how on of the example data sets is formatted in the basic R installation. If I load the Mona Loa CO2 data, with the command: > data(co2) I can view the data with: > co2 And the data are in the form of 11 rows labeled as years (1994-2004) and 12 columns labeled (Jan - Dec). This structure appears to be a dataframe, however, if I type the command

Dear R-users, If I would like to track the date when an R-object (specifically an R- function) was modified, how can I achieve that? Furthermore, how can I sort these objects based on date modified? Your help is greatly appreciated All the best Mona -- ***************************************************** *Dr. Mona Kanaan * *Department of Epidemiology

Dear R helpers, I have a large data set with 36 variables and about 50.000 cases. The variabels represent labour market status during 36 months, there are 8 different variable values (e.g. Full-time Employment, Student,...) Only cases with at least one change in labour market status is included in the data set. To analyse sub sets of the data, I have used daisy in the cluster-package to create

R 1.6.0 has gone into final feature freeze as of today. As a new feature, we'll make interim beta versions available via ftp://cran.us.r-project.org/pub/R/src/base alias http://cran.us.r-project.org/src/base (filename R-1.6.0beta_*.tar.gz, where * is the creation date). If you want to help ensure that the final 1.6.0 works satisfactorily on *your* platform, it might be a good idea to

Please cc me when replying to the list. With Version 2.1.1 (2005-06-20) on Power Mac G5 running Mac OS X 10.4.2 (8C46): Some compilations work (e.g., MatchIt, RGraphics, Zelig), and some don't, e.g., mgcv, spatstat, and the following (Matrix, cluster): trying URL 'http://www.ibiblio.org/pub/languages/R/CRAN/src/contrib/ Matrix_0.98-3.tar.gz' Content type

Hi, I have just found this forum, and it looks like a great place to get some help (I hope) For my dissertation, which is due way too soon, I am doing a survey, comparing attitudes of 2 independent groups, with 5 scale likert questions. Basically I want to show if they have similar or different attitudes. I am testing 4 hypotheses, and have in total about 20 questions. I have to say my

Hi, I hope this is not too trivial, but I've had this recurring problem and I think there is super easy solution, just not sure what it is. Please see short example below. ?I would like to get the frequency (counts) of all the variables in a single column (that is easy), but I would also like to return the value 0 for the absence of variables defined in another column. For example: animals

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

Hello everyone! My data is composed of 277 individuals measured on 8 binary variables (1=yes, 2=no). I did two similar cluster analyses, one on SPSS 18.0 and one on R 2.9.2. The objective is to have the means for each variable per retained cluster. 1) the R analysis ran as followed: > call data > dist=dist(data,method="euclidean") >

I had installed R from source on Fedora Core 3. Then I upgraded to Fedora Core 4, but left R alone. R worked fine, until I trued to update.packages(). Even then, many packages updated just fine, but two of them, cluster and mgcv, failed with the following error message (using cluster as an example): gcc -shared -L/usr/local/lib -o cluster.so clara.o daisy.o dysta.o fanny.o meet.o mona.o pam.o

Hi Rafael, What about multivariate logistic regression? ----- Forwarded Message ---- From: Rafael Duarte <rduarte@ipimar.pt> To: Anders Malmendal <anders@chem.au.dk> Cc: r-help@stat.math.ethz.ch Sent: Tuesday, May 29, 2007 3:21:11 PM Subject: Re: [R] hierarhical cluster analysis of groups of vectors It seems that you have already groups defined. Discriminant analysis would probably

Hi all! I'm new to R and don't know many about it. Because it is free, I managed to learn it a little bit. Here is my problem: I did a cluster analysis on 30 observations and 16 variables (monde, figaro, liberation, etc.). Here is the .txt data file:

I configured winbind, samba and pam.d to authenticate via our Windows Active Directory Server. Everything works fine, I can log on to the system using my Windows Account credentials, I am also able to access the samba home share, but I have no write permissions there. What I don't get is: When I give read-write-access to everybody (chmod 777 /home/%USER%), I am able to create and delete