similar to: Clusteranalysis Chi-square test and SingleLinkage

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

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

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

Dear Sirs and madams :-) I am trying to teach myself multidimensional scaling. To that effect I have collected a survey asking people to rank 10 philosophers and politicians according to their preference. I have collected 61 answers. The data is organized in ten columns and 61 rows. the columns are "choice_1", "choice_2", "choice_3" etc. The cells is the name of the

ok here is my view code: <% for img in ary %> <%= resize_image img.name %> # img.name= /homa/joe/pictureimg.jpg <% end %> here is my resize_image code in application_helper: def resize_image(imgfile) pic = Magick::Image.read(imgfile).first thumb = pic.crop_resized(maxwidth, maxheight, gravity=Magick::CenterGravity)

On Tue, 22 Feb 2011 11:15:39 +0100 "PIOTREK H." <komarekmz@tlen.pl> wrote: > Welcome > > I have a problem with the new iproute "iproute2-2.6.37.tar.bz2 07-Jan-2011 9:18 (the problem from version 2010 to 2011). > Three problems: > a) with filters for UDP traffic > problem affects only the queuing traffic to the machine on which you work qos > In the case

Hi R-listers, I am receiving an error - see below. Aeventexhumed is the event in which nesting occured, so it is defined by A, B, C. I thought as a factor was ok, tried to change it to as.character but it still gave me the same error. Is there something I should do about this error or just ignore it? Please advise, Jean >summary(aov(EDI ~ HTLIndex + Aeventexhumed + HTLIndex:Aeventexhumed,

Hi all, I've running a CentOS 5 64bit server that hosts VMware Server and uses authentication via Samba/Winbind. The problem is that authentication in the VMware Server web interface does not work because apparently it is a 32bit application and CentOS 5 x86_64 provides only a 64bit version of the pam_winbind.so library. At least that what I conduct from the following message I get in

https://bugs.freedesktop.org/show_bug.cgi?id=56615 Priority: medium Bug ID: 56615 Assignee: nouveau at lists.freedesktop.org Summary: Unable to start X on ThinkPad T420s laptop QA Contact: xorg-team at lists.x.org Severity: normal Classification: Unclassified OS: Linux (All) Reporter: mark.cave-ayland at

Classification: UNCLASSIFIED Caveats: NONE Dear R users, I'm interested in finding a random effect of the Block in the data shown below, but 'lme' does not work without the random effect. I'm not sure how to group the data without continuous value which is shown in the error message at the bottom line. If I use 'aov' with Error(Block), is there a test method comparing

Hi everybody, after upgrading a few CentOS machines from 5.0 to 5.2, and during that upgrading rsync from 3.0.0-1.el5.rf to 3.0.3-1.el5.rf (both from rpmforge) rsync stopped working and bails out with a segfault after some undeterministic time (zero to a few seconds) during a sync. Manually going back to 3.0.2-1.el5.rf seems to work. Has anybody experienced similar problems? I'm not sure if

Hi, If I have two sets of directional data (in radians) and want to compare them with a multifactorial anova. Is it even legitimate to compare circular data with an anova? The books I've picked up from the library don't really say, but it looks unlikely. If it is allowable, is my having stored the data as circular (X = as.circular(A)) something the aov() function will take into account,

Dear list, I'm trying to mimic the analysis of Wedderburn (1974) as cited by McCullagh and Nelder (1989) on p.328-332. This is the leaf-blotch on barley example, and the data is available in the `faraway' package. Wedderburn suggested using the variance function mu^2(1-mu)^2. This variance function isn't readily available in R's `quasi' family object, but it seems to me

I want to thank everyone who has provided insight into my thread about clustering MySql. I kind of just sat back and watched it develop. I learned a lot from it all. I have been reading all of the documentation on clustering provided by Centos/Red Hat, and find I travel in circles. I read one chapter and answer a self-imposed question but I end up asking myself another. What I really want to

Classification: UNCLASSIFIED Caveats: NONE R users, This is a summary for the responses I got from Sandra Dorai-Raj and Simon Blomberg followed by my question. Sandra suggested using lm instead of lme for a model without a random effect, and Simon suggested anova.lme instead of anova.lm for comparing two models with and without a random effect. For the anova test, both anova.lme and anova

On 2019/5/10 ??8:58, Stefano Garzarella wrote: > While I was testing this new series (v2) I discovered an huge use of memory > and a memory leak in the virtio-vsock driver in the guest when I sent > 1-byte packets to the guest. > > These issues are present since the introduction of the virtio-vsock > driver. I added the patches 1 and 2 to fix them in this series in order > to

Hello all, In the network there is already a W2K server serving as DHCP server for the network. Then we want to implement LTSP, so we need to setup another DHCP server, right? Due to unexpected reason (little by little migration of w98 clients to LTSP), we need to keep the W2K server running in that network. Can we then have 2 DHCP server in the same subnet, only serving pre-determine clients

Dear R users, I am using R right now for a simulation of a model that needs a lot of memory. Therefore I use the *bigmemory* package and - to make it faster - the *doMC* package. See my code posted on http://pastebin.com/dFRGdNrG Now, if I use the foreach loop with the addon %do% (for sequential run) I have no problems at all - only here and there some singularities in regressor matrices which

Dear All: In the attached file, I have 3 group patients, and there are 5 in each group (the groups are decided by the prefix of the idno). I want draw a repeat measurement comparison figure. My goal is to list 5 patients from same group on one horizontal line. But xyplot sounds pick them randomly (or I was confused?). Could you please help me modify the following code to accomplish this?