similar to: cluster, mona error

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

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

How to Paint Mona Lisa with MS Paint <http://arts-artists.blogspot.com/2007/03/how-to-paint-mona-lisa-with-ms-paint.html> Amazing Art work<http://arts-artists.blogspot.com/2007/03/how-to-paint-mona-lisa-with-ms-paint.html> http://arts-artists.blogspot.com/2007/03/how-to-paint-mona-lisa-with-ms-paint.html --~--~---------~--~----~------------~-------~--~----~ You received this message

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

Hi all, Is there a way of plotting a 'decision tree' from the results of Mona in the cluster package. The default bannerplot is not quite what I'm after - I would like a plot of the binary decision tree. Thanks Zoë [[alternative HTML version deleted]]

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

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

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

You might find this useful. I have modified the R 'edit' function by adding attr(x,"date.modified") <- substring(Sys.time(),1,19) before the last line. I then changed to ls() to sort functions, paste function name and time stamp from the contents of the "date.modified" attribute before output. Not particularly tidy but functional.

I feel the need to apologize for my previous email to the list. I was thinking that I was sharing something that I am currently exited with, with my associates. I now realize that I was sooo... off-topic, it's ridiculous. Sorry for the improper post to the list. Feel free to keep any further comments, concerning my improper use of the list, off-list. Thank You, Steven B TeamVie at

Hi dear all It's the first time for me to install a developmental version of R, I came across following errors, my system is DISTRIB_ID=Ubuntu DISTRIB_RELEASE=10.04 DISTRIB_CODENAME=lucid DISTRIB_DESCRIPTION="Ubuntu 10.04.1 LTS" I downloaded the dev version of R in cran R source, and downloaded the recommended packages by using wget as described in R manual, and run

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

Doing the normal build process [1] for a first time with a R 2.0.0 snapshot -- the Sep 21 version I uploaded to Debian's 'experimental' section two days ago, ended in failure. The package in question is cluster 1.9.6 which should be 2.0.0-ready. The (partial) log follows: ----------------------------------------------------------------------------- [...] g77 -mieee-fp -fPIC -g -O2

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

I'm sure this has been asked a zillion times so I searched for hours before posting this. How can there be so little documentation on this. Point me to what to read. rsh is good: [g3p:~] smith% rsh -l a1012 sv1.domain.com Password: {a1012@sv1.domain.com:65} rsync not good: [g3p:~] smith% rsync -av a1012@sv1.domain.com:kkk.txt sync/ rsync: open connection using rsh -l a1012 sv1.domain.com

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

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: ---------------------------------- >

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

Hello all I wonder what can i use to cluster vectors which composed of several factors. lets say around 30 different factors compose a vector, and if the factor is present then it encoded as 1, if not presented then it will be encoded as 0. I was thinking of using hierarchical clustering, as i know the distance between two vector were calculated through euclidean distance function, but i dont

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