similar to: error with subtree()

Hello, I am synthesising some sales data over a twelve month period, and then trying to use the "predict" function, firstly to generate a thirteenth month forecast with upper and lower 95% confidence limits. So far so good But what I then want to do is add the upper sales value at the 95th confidence limit to the vector of thirteen months and their respective sales to create a

[Environment: Win XP, R 2.10.1] I'm trying to install the packages JGR and iWidgets required by the extracat package to make the interactive plots in the package work. I've tried various things, but nothing seems to work. Here is my most recent attempt, followed by my sessionInfo(). Does anyone have any suggestions how to make this work? > > library(extracat) Loading

Hi Teresa, Thank you for your reply! I discussed this with Aditya and Rodrigo today about this. We will always have PGO turned on for our benchmark, (i.e. we assume the profiling information is always available). In terms of the workload we supply to PGO: For postgresql, I suggested we use the "pgbench" benchmark, a TPC-B-based SQL benchmark for postgres, to supply profiling information

Hello Tobias, Thank you for the suggestion! Aditya also mentioned this. I will look into it. Best regards, Ruijie Ruijie Fang Email: ruijief at princeton.edu On Tue, Jun 2, 2020 at 12:48 PM Tobias Hieta <tobias at plexapp.com> wrote: > Hello Ruijie, > > One other workload that would be interesting to test might be clang > itself. Building clang with PGO information is a

On Tue, Aug 4, 2020 at 10:51 PM aditya kumar <hiraditya at gmail.com> wrote: > Glad to hear that there is an interest in a function splitting pass. There > are advantages to splitting functions at different stages as you've already > noted. > Right -- with slightly different objectives. Machine Function Splitting Pass's main focus is on performance improvement. > -

I'd like to be able to cut dendrograms at a height I specify and then plot the resulting subtrees. I wanted to use the dendrogram object for this purpose because there doesn't seem to be a canned way to cut a hclust object and get a list of hclust objects, but there is a function (cut) that does that for dendrograms. The problem I'm having is that when I plot a dendrogram, I

I'm afraid I'm quite confused by what I've found on the Wiki. I have the following dial plan that works: exten => 2201,1,Dial(sip/2201@gs1.uucp,20,) exten => 2201,2,Voicemail(u2201) exten => 2201,3,Hangup exten => 2201,102,voicemail(b2201) exten => 2201,104,hangup When the phone is in use it goes to voice mail as busy. When not picked up, as

Hi, I must say I'm very impressed with improvments in the latest versions of the encoder, especially in 2-pass mode. I was trying encodes of videos with sudden changes from no or moderate motion, to high motion scenes. Most samples of Theora quality I saw on the net were very slow motion usually. These high-motion videos were especially hard for Theora and it quickly introduced

I have realised that I should have used "detach" before attaching another dataframe, but even when I do this it's still giving me lots of lines, rather than just one: My code: m<-runif(1,0,1) m mres<-m*(seq(1,12)) mres ssd<-rexp(1,1) ssd devs<-rep(0,length(mres)) for(i in 1:length(mres)){devs[i]<-rnorm(1,0,ssd)} devs plot(-10,-10,xlim=c(1,24),ylim=c(0,20000))

library(mva) data(USArrests) hc <- hclust(dist(USArrests), "ave") plot(hc) # OK dump(c("hc"), "tst") rm(hc) source("tst") plot(hc) # Error in plot.hclust(hc) : invalid dendrogram input The same problem occurs with dput/dget --please do not edit the information below-- Version: platform =

Buenas tardes a todos, Estoy interesado en cambiar los límites del eje y en un dendograma construído utilizando la función hclust(). A continuación un ejemplo: hc <- hclust(dist(USArrests), "ave") plot(hc) Hasta aquí todo bien. Si quisiera cambiar los límites del eje "y" de c(0, 200)? Al usar plot(hc, ylim = c(0, 200)) no observo efecto alguno. Qué puedo hacer?

Hi, I have a gene expression experiment with 20 samples and 25000 genes each. I'd like to perform clustering on these. It turned out to become much faster when I transform the underlying matrix with t(matrix). Unfortunately then I'm not anymore able to use cutree to access individual clusters. In general I do something like this: hc <- hclust(dist(USArrests), "ave")

Hello to all, I still have this doubt. I'd like to colour the different labels of my dendrogram each one with a different colour. How can I do? I guess I could do using *edgetext* and then *t.col* or* lab.col* but I don't know how to add edgetext to my dendrogram. Can you help me please? Example: require(graphics); require(utils) hc <- hclust(dist(USArrests), "ave") (dend1

Dear R-Help, I have a clustering problem with hclust that I hope someone can help me with. Consider the classic hclust example: hc <- hclust(dist(USArrests), "ave") plot(hc) I would like to cut the tree up in such a way so as to avoid small clusters, so that we get a minimum number of items in each cluster, and therefore avoid singletons. e.g. in this example, you can see

[Note: this has already been sent to comp.os.linux.announce.] -----BEGIN PGP SIGNED MESSAGE----- It has come to my attention that the recent 1.6 release of MAKEDEV-C inadvertently created /dev/random and /dev/urandom with the wrong permissions. /dev/random and /dev/urandom should look like this: crw-r--r-- 1 root system 1, 8 Feb 21 14:42 /dev/random crw-r--r-- 1 root system

Hello, I have been using the "cophenetic" function for objects of class "dendrogram" and I have realised that it gives different results when it is used with objects of class "hclust". For instance, running the first example in the help file of the "cophenetic" function, d1 <- dist(USArrests) hc <- hclust(d1, "ave") d2 <-

Is anyone successfully using one of these with Asterisk? I cannot get the phone to register, this message keeps coming up on the Asterisk console: Jul 29 14:11:39 NOTICE[1125350192]: chan_sip.c:7323 handle_request: Registration from '"000BEA801CA6" <sip:000BEA801CA6@hcs.net:5060>' failed for '204.194.36.138' The telephone LCD says "SIP registation

Hello, It seems that the plot function for dendrograms does not draw labels when they are too long. > hc <- hclust(dist(USArrests), "ave") > dend1 <- as.dendrogram(hc) > dend2 <- cut(dend1, h=70) > dd <- dend2$lower[[1]] > plot(dd) # first label is drawn > attr(dd[[1]], "label") <- "aaaaaaaaaaaaaaaaaa" > plot(dd) # first label is

Dear r-list, I am trying to visually seperate the two main clusters of a dendrogram. The idea is to use: 'edgePar=list(lty=3)' for 'dend1[[1]]' and 'edgePar=list(lty=1)' for 'dend1[[2]]' I have not found a way to solve this. Any suggestions? Patrick hc <- hclust(dist(USArrests), "ave") (dend1 <- as.dendrogram(hc)) par(mfrow=c(2,2)) plot(dend1)

Hi When I use plot(hclust(dist..)...)...) etc to create a dendrogram of a hierarchial cluster analysis, I end up with a vertical tree. What do I need to do to get a horizontal tree? Also, my users are used to seeing trees who's leaves all "end" at the same place (eg. Like in minitab). Is this possible in R? Thanks Mick Michael Watson Head of Informatics Institute for Animal