similar to: RE: cut.dendrogram (PR#1552)

Any idea why clusters five and six fall off the scale in the following? library(cluster) library(maptree) data(flower) dfl2<-daisy(flower,type=list(asymm=c(1,3),ordratio=7)) hdfl2<-hclust(dfl2) prune.dfl2<-prune.clust(hdfl2,k=6) plot(prune.dfl2) Of course the following will display all six clusters, but without a scale: draw.tree(prune.dfl2) Best wishes, Mikkel Mikkel Grum

When playing around with reassociate I noticed a seemingly obvious optimization that was not getting done anywhere in llvm… nor in gcc or ICC. Consider the following trivial function: void foo(int a, int b, int c, int d, int e, int *res) { res[0] = (e * a) * d; res[1] = (e * b) * d; res[2] = (e * c) * d; } This function can be optimized down to 4 multiplies instead of 6 by reassociating

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

I have a specific question and a general question. Specific Question: I want to do an analysis on a data frame by 2 or more class variables (i.e., use 2 or more columns in a dataframe to do statistical classing). Coming from SAS, I'm used to being able to take a data set and have the output of the analysis in a dataset for further manipulation. I have a data set with vote totals, with one

I am currently using the function daisy in package cluster to create a dissimilarity matrix because my multivariate dataset contain missing data and variables of various types including factors, symmetric and asymmetric binary and quantitative. This is a step prior to using pco within ecodist. There is a warning which comes twice ">NAs introduced by coercion" I've used

Dear Rhelp,   I did a daisy on 5 lifestyle variables, 3 of which were nominal and 2 were ordinal and assigned types “nominal” and “ordinal” for the variables, respectively.  I got an output indicating their types as “I” for interval(?). Doing it on the Rdata example “flower” gave the same types in the output as the types they were assigned to.  Why is this so? Below are the codes and outputs.  

Hi, I'm a PhD student and I want to use the function 'daisy' from the package 'cluster' to compute dissimilarities. My variables are of mixed types so I use the argument 'stand' in daisy to define the type of my variables. I have the following error message : Warning message: binary variable(s) 13, 16, 17, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,

https://bugzilla.mindrot.org/show_bug.cgi?id=1552 Damien Miller <djm at mindrot.org> changed: What |Removed |Added ---------------------------------------------------------------------------- Blocks| |2130 --- Comment #13 from Damien Miller <djm at mindrot.org> --- Retarget to openssh-6.4 -- You are

https://bugzilla.mindrot.org/show_bug.cgi?id=1552 Damien Miller <djm at mindrot.org> changed: What |Removed |Added ---------------------------------------------------------------------------- Blocks|2130 | --- Comment #15 from Damien Miller <djm at mindrot.org> --- This needs more design and probably a new

CentOS Errata and Bugfix Advisory 2015:1552 Upstream details at : https://rhn.redhat.com/errata/RHBA-2015-1552.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: b36b362b4605bfd2fadd73c67de266f43c0ef9aba3a42210e10cf7594fc211e8 selinux-policy-3.13.1-23.el7_1.13.noarch.rpm

>>>>> "MikG" == M GRUM <M.GRUM@CGIAR.ORG> writes: MikG> I'm resending this bug report with a new example. As MikG> seen below, cut.dendrogram gives an error message for MikG> some heights, but not for others and with some MikG> datasets adn not others. I can't see why. MikG> Last time I unwittingly sent my message with

>>>>> "MM" == Martin Maechler <maechler@stat.math.ethz.ch> writes: >>>>> "MikG" == M GRUM <M.GRUM@CGIAR.ORG> writes: MikG> I'm resending this bug report with a new example. As MikG> seen below, cut.dendrogram gives an error message for MikG> some heights, but not for others and with some MikG> datasets

This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. ------_=_NextPart_000_01C35A53.75780090 Content-Type: text/plain; charset="iso-8859-1" Anyone have a clue why hclust() and agnes() produce different results in the example below when both use method="average"?? I'm not able to reproduce

https://bugzilla.mindrot.org/show_bug.cgi?id=1552 Summary: Patch to log tunnel information Product: Portable OpenSSH Version: 5.1p1 Platform: All OS/Version: All Status: NEW Severity: enhancement Priority: P2 Component: sshd AssignedTo: unassigned-bugs at mindrot.org ReportedBy: jblaine at