similar to: cluster analysis using Dmax

Dear All, I have a dissimilarity matrix which I happily convert to a distance object by running: X <- as.dist(Y) and I can happily now run either hclust(X) or agnes(X). So that the various bits of output are labelled correctly I would dearly like to be able to give names to the columns and rows of X, as would happen if I ran: mydata<-read.table("clipboard",header=T)

My problem with HFSC tc command is ... tc command''s HFSC have a lot parameter with 4 curve type SC curve -> umax dmax rate LS curve -> umax dmax rate RT curve -> umax dmax rate UL curve -> umax dmax rate so i''dont know which parameter are appropriate for my test case such real time class which curve are appropriate and good working result. my assumption about

## Package Needed library(fields) ## Assumptions set.seed(123) nsim<-5 p<-2 ## Generate Random Matrix G G <- matrix(runif(p*nsim),nsim,p) ## Set Empty Matraces dmax and dmin dmax<- matrix(data=NA,nrow=nsim,ncol=p) dmin<- matrix(data=NA,nrow=nsim,ncol=p) ## Loop to Fill dmax and dmin for(i in 1:nsim) { dmax[i]<- max(rdist(G[i,,drop=FALSE],G)) dmin[i]<-

Hello, I’ve read this Article avout VOIP and HFSC http://automatthias.wordpress.com/2006/06/30/hfsc-and-voip/ I’ve got few questions ? Considering this tc class add dev $DEV parent 1:1 classid 1:2 hfsc \ rt m1 ${UPLINK}kbit d 50ms m2 $[1*$UPLINK/10]kbit \ ls m1 ${UPLINK}kbit d 50ms m2 $[3*$UPLINK/10]kbit \ ul rate ${UPLINK}kbit rt = realtime curve ls = linksharing curve but m1 = ? m2 = ? d =

I stumbled upon a problem while upgrading Ubuntu 13.04, Shorewall version from 4.4.26.1 to 4.5.16.1. Everything was working fine before, after upgrading the script wouldn''t start. First some config files. tcdevices: #INTERFACE IN-BANDWIDTH OUT-BANDWIDTH OPTIONS REDIRECTED eth1 - 6300kbit hfsc,classify ifb0 - 6300kbit hfsc

When I start my script: * - Creating classes on br1 for upload control ... * - tc class add dev br1 parent 2:0 classid 2:46 hfsc ls m1 576.0Kbit d 2000ms m2 192.0Kbit ul m2 384Kbit ... [ ok ] * - tc class add dev br1 parent 2:46 classid 2:47 hfsc sc umax 1500b dmax 30ms rate 80Kbit . [ ok ] * - tc class add dev br1 parent 2:46 classid 2:48 hfsc ls m2 152.0Kbit ul m2 152.0Kbit

I have a lot question about tc-command because now i''m doing research to compare performance between HTB and  HFSC so i''m doubt a lot thing and your reply are so very helpful to me ... My question is In HTB tc command question 1. I''m use opensource (Mastershaper) for help to config traffic control but when i''m try to config HTB, I''m doubt about

I'm clustering rather large data sets and would like to cut the dendrograms to get a better view of specific components. I calculate the dissimilarity matrix using daisy() because I have a mixture of variable types: factors, ordered factors and numerical variables. If I want one dendrogram, I use agnes() for the agglomerative nesting and pltree() to draw the dendrogram. That way, I get the

Dear All, I have a cluster object based on a dissimilarity matrix from about 1,100 cases and wish to know whether anyone can think of any tips to display some form of graphical output which would give some sense of the similarity between the cases. A standard form of dendrogram would be fine, but with so many cases the dendrogram on the standard devices (R-2.20 on NT4) is very compact

Hi, i've two questions concerning the plot of a dendrogram. first, i use hclust for clustering and if i plot the dendrogram, then the maximal height is the maximal dissimilarity found in my data. but i want to have a arbitary maximal height. for example if the maximal dissimilarity in my data is 50 and i want a height of 100, the plot should be compressed by 1/2 and the line to the root

Hi All - I am using the daisy function from the cluster library to create a dissimilarity matrix. I'm going to use that matrix to run a cluster analysis. My participants are identified with the variable, hhid. However, when I try to keep hhid in the dataset that I use to create the dissimilarity matrix, daisy uses it to create the matrix rather than ignoring it as an ID variable. I need to

Hi do anyone have experience of the Abit AW9D-MAX. I try to run a native windowsXP under Yast2 control on a xen from suse10.2. I get an error claiming that APIC is not enabled. However if I look in boot.msg it says enabled for 0x00 och 0x01 but not 0x02 and 0x03 LAPIC (acpi_id[0x00] lapic_id[0x00] enabeled) and so on any suggestions? /Lars _______________________________________________

Hello, First I want to point out that I''m not so familiar with HFSC, since there not so much info online. But here is my script: ${TC} class add dev ${LAN_IFACE} parent 1:0 classid 1:1 hfsc ls rate 100mbit ul rate 100mbit ${TC} class add dev ${LAN_IFACE} parent 1:1 classid 1:2 hfsc ls rate 90mbit ul rate 90mbit ${TC} class add

Hey Everyone! I wanted to carry out Hierarchical clustering using distance matrices i have calculated ( instead of euclidean distance etc.) I understand as.dist is the function for this, but the distances in the dendrogram i got by using the following script(1) were not the distances defined in my distance matrices. script: var<-read.table("the distance matrix i calculated",

Hello I have a number of data files which are outputs for each step of a simulation. The data is organized like this: dmin dmax coef 5 6 0.490981 3 8 0.098056 5 6 0.425926 6 6 0.517860 2 4 0.527778 I would like to make a 3-d plot where one axis corresponds to (dmin, dmax) pair, one axis is the simulation

Hi all, I wanted to run the hclust (or any other clustering algorithm) on a distance matrix. I have formed the distance matrix as: distmat: a b c d e a 0.00 0.96 1.60 1.60 1.68 b 0.96 0.00 0.96 1.80 2.64 c 1.60 0.96 0.00 0.84 1.80 d 1.60 1.80 0.84 0.00 0.96 e 1.68 2.64 1.80 0.96 0.00

Hi I have a large dataset, containing a wide range of binary variables. I would like first of all to compute a jaccard matrix, then do a PCA on this matrix, so that I finally can do a hierarchical clustering on the principal components. My problem is, that I don't know how to compute the jaccard dissimilarity matrix in R? Which package to use, and so on... Can anybody help me? Alternatively

I''m experiencing a problem with masquerade downloads saturating my internet connection. I''ve implemented an IFB and now am looking into flow keys. Although I''ve read the documentation, I''m not sure I have this right. Can someone help? /etc/shorewall/params: MID_IF=eth0 MID_IF_TC=1 INET1_IF=eth1 INET1_IF_TC=2 INET1_IFB_IF=ifb0 INET1_IFB_TC=3 Note: MID_IF

I am running 1.3.1 on a Windows (NT 4.0) machine. I've fit a nonlinear model intended to predict crop yield from nutrient information, and want to use the profile function. If I type say, profile(simparj.fm) I get the following error message: "Error in prof$getProfile(): number of iterations exceeded maximum of 5.25515e-308" I used the profiler function to profile simparj,fm step

Hello, I just found the great howto and started shaping my internet connection. The howto''s last update is a liitle in the past now so I have some questions about how things are done the best way nowadays ;-) To ensure a stable and low latency voip communication I added an HFSC qdisc to device ppp0 (1 Mbit SDSL). There are two classes (by now): One for SIP and RTP and one for the