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Sorry, I never use pam. In the help, you can see that pam require a dataframe OR a dissimilarity matrix. If diss=FALSE then "euclidean" was use.So, I interpret that a matrix of dissimilarity is generated automatically. Problems may be in your data. Indeed pam(ruspini, 4)$diss write a dissimilaty matrix while pam(MYdata,10)$diss wite NULL 2017-08-17 16:03 GMT+02:00 Sema Atasever

Dear Germano, Thank you for your fast reply, In the above code, *MYData *is the actual data set. Do not we need to convert *MYData to *the dissimilarity matrix using *pam(as.dist(**MYData**), k = 10, diss = TRUE*)* code line?* *Regards.* On Thu, Aug 17, 2017 at 2:58 PM, Germano Rossi <germano.rossi at gmail.com> wrote: > try this > > MYdata <-

try this MYdata <- read.csv2("data.txt",dec='.') library(cluster) cluster.pam = pam(MYdata,10) table(cluster.pam$clustering) filenameclu = paste("clusters", ".txt") write.table(cluster.pam$clustering, file=filenameclu,sep=",") 2017-08-17 10:28 GMT+02:00 Sema Atasever <s.atasever at gmail.com>: > Dear Authorized Sir / Madam, > >

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Si puedo dar mi opinión es que no uséis rcomander. Al final el alumno cree que usa R pero no lo usa!!! Depende del tiempo pero si es para psicología yo usaría excell o spss. Rcomander les va a liar mas de lo debido y deja el ordenador inutilizable... Soy profe de estadistic pero aparte estoy en segundo de psicologia y la estadistica que se da es muy muy basica como para usar R. Salutis. Renaud

Dear R-helpers, I have a problem with the tcl "after" instruction. When I send: > library(tcltk) Loading Tcl/Tk interface ... done > tcl("after",1000,cat("try tcl after\n")) try tcl after <Tcl> the tcl command works fine. Similarly, the tcl command: > tcl("after",1000,plot(rnorm(100))) <Tcl> works fine. But, if I send the command:

Hi, I'm trying to debug a function I wrote to calculate the cindex for a hierarchical tree. For this it is useful to compare my calculations with those in output from the clustindex function, in the cclust library. There's no way, however, to have the cindex value for a given output of the cclust function, as a NA value is always returned. This happens almost surely because the cindex in

Sobre todo explicarles bien a que pregunta quieren contestar con la estadistica etc. El tema en psicología es sore todo que entiendan cuando leen algún articulo que significa la estadística. Por eso creo que con execsl y su add va super bien para que puedan reproducir casos. Usar algo nuevo, por lo que he visto con los chVales de clase les pierde por completo y desconectan. Ademas la estad lA

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Dear list members, this is very similar to a problem which has been discussed last summer on the list, but there was no final solution then (as far as I could follow the thread of messages). Would you please take a look at my problem, to see if I'm missing something? Here is the useful data: * Purpose: using rsync over SSH as a non-anonymous file server to transfer files between two

A while back there was a discussion thread about whether an accurate, concurrent garbage collector could be "generic" in the sense of being able to support multiple different languages efficiently. After having done some work on this, I now believe that this is the case - using C++ policy-based design principles, you can create a set of modules that represent different aspects of

On Tuesday 16 June 2009 07:37:32 Talin wrote: > A while back there was a discussion thread about whether an accurate, > concurrent garbage collector could be "generic" in the sense of being > able to support multiple different languages efficiently. After having > done some work on this, I now believe that this is the case - using C++ > policy-based design principles, you

Dear all, I am interested in solving a MIP problem with binary outcomes and continuous variables, which ARE NOT RESTRICTED TO BE NEGATIVE. In particular, Max {z1,z2,z3,b1} z1 + z2 + z3 (s.t.) # 7 z1 + 0 z2 + 0 z3 + b1 <= 5 # 0 z1 + 8 z2 + 0 z3 - b1 <= 5 # 0 z1 + 0 z2 + 6 z3 + b1 <= 7 # z1, z2, z3 BINARY {0,1} # -5<= b1 <=5 (i.e. b1 <= 5; -b1 <= 5 ) Using

On May 1, 2009, at 1:27 PM, Basile STARYNKEVITCH wrote: > Hello All > > Does any know about some opensource multithread-compatible (or > concurrent) garbage collector library, if possible suitable for LLVM? In fact, yes! http://code.google.com/p/scarcity/ -Chris

Dear Developers, I want to import the large size (566.639 kb) of data in R. I will try through txt, excel,xml,in this way I successes only small amount of data .but I want to load or import large amount of data in R .so please give me Suggestion Shanthi Rangasamy Ph. D. Student Electronics and Communications Department CEIT - IK4 Research Alliance Pº. Manuel Lardizábal, 15 20.018

Hello, I'm new to the installation R on Linux and I've followed the instructions on the R Installation and Administration Manual and on the FAQs. I also have changed the path at the .bash_profile file but when I try to type R at the shell prompt, it says: Fatal error: R home directory is not defined I've tried many things but all the time it says the same. Any help would be

Hello, I am interested in using the capscale function of vegan package of R. I already have a dissimilarity matrix and I am intended to use it as 'distance' argument. But then, I don't know what kind of data must be in 'comm' argument. I don't understand what type of data must be referred as 'species scores' and 'community data frame' since my data refer to

Hello All Does any know about some opensource multithread-compatible (or concurrent) garbage collector library, if possible suitable for LLVM? (I mean that I want several mutator threads; the collector can be stoptheworld or concurrent ....) H.Boehm's conservative GC is multithread compatible, but seems quite slow (allocation is about the time of a C malloc). And it is well known that

I'm solving 4 complex equations simultaneously. Code is below. The code returns only zero's for the solution though there should also be a non-zero result. I'm pretty confident that the equations are correct because they are straight from a published paper and I checked them pretty thoroughly. The parameter values I used are from the published paper as well. Any suggestions for how

Hello! I just joined this mailing list, so I apologize in advance if this topic has already been covered. Red Hat and Suse announced they are no longer supporting OpenLDAP in future releases. https://www.ostechnix.com/redhat-and-suse-announced-to- withdraw-support-for-openldap/ However, we mainly use CentOS and while it's a RH derivative, I wanted to find out what CentOS plans on doing in