similar to: initial points for arms in package HI

Hi, I am new to clustering and was wondering why pvclust using "maximum" as distance measure nearly always results in p-values above 95%. I wrote an example programme which demonstrates this effect. I uploaded a PDF showing the results Here is the code which produces the PDF file: ------------------------------------------------------------------------------------- s <-

Dear all, here is the result of R.Version(): > R.Version() $platform [1] "powerpc-apple-darwin8.6.0" $arch [1] "powerpc" $os [1] "darwin8.6.0" $system [1] "powerpc, darwin8.6.0" $status [1] "" $major [1] "2" $minor [1] "3.1" $year [1] "2006" $month [1] "06" $day [1] "01" $`svn rev`

Dear R-help, I'd like ask for your opinion on choosing the "right" strategy for a particular dataset. We conducted 24-hour electric field measurements on 90 subjects. They are grouped by job (2 categories) and location (3 categories). There are four exposure metrics assigned to each subject. An excerpt from the data: n job location M OA UE all 0 job1 dist_200 0.297 0.072 0.171

Hi, I am trying to run the command "forward.sel.par," however I receive the error message: "Error: could not find function 'simpleRDA2'." I have the vegan library loaded. The documentation on "varpart" has not helped me to understand why I cannot call this function. Maybe I am missing something obvious because I am still an 'R' novice. Below is a

HI, Using c11<- 0.01 c12<- 0.01 c1<- 0.10 c2<- 0.10 One possible problem is that: dim(res5) #[1] 513? 20 res6<-aggregate(.~m1+n1+m+n,data=res5[,c(1:6,9:12,21:24)] ,max) #Error in `[.data.frame`(res5, , c(1:6, 9:12, 21:24)) : ?# undefined columns selected A.K. ________________________________ From: Joanna Zhang <zjoanna2013 at gmail.com> To: arun <smartpink111 at

Just a reminder, the Cambridge LLVM Social is this week on the Kingston Arms. http://www.kingston-arms.co.uk/ cheers, --renato -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20130218/bf47bf37/attachment.html>

Hi, directory<- "/home/arunksa111/data.new" #first function filelist<-function(directory,number,list1){ setwd(directory) filelist1<-dir(directory) direct<-dir(directory,pattern = paste("MSMS_",number,"PepInfo.txt",sep=""), full.names = FALSE, recursive = TRUE) list1<-lapply(direct, function(x) read.table(x,header=TRUE, sep =

hey can anybody help me? i have to simulate the richardson Arms race model on R.. for my simulation class...

Hi everyone It looks like repeated runs of fastICA produce quite significantly different mixing matrices (not only in terms of sign and row order). I'm not a specialist, so would appreciate any advice on whether this should really be the case: > res3 = > fastICA(af[,2:20],4,alg.typ="parallel",fun="logcosh",alpha=1,method="C",row.norm=TRUE) colstandard >

Hi, #working directory data1 #changed name data to data1.? Added some files in each of sub directories a1, a2, etc. ?indx1<- indx[indx!=""] lapply(indx1,function(x) list.files(x)) #[[1]] #[1] "a1.txt"??????? "mmmmm11kk.txt" #[[2]] #[1] "a2.txt"??????? "mmmmm11kk.txt" #[[3]] #[1] "a3.txt"??????? "mmmmm11kk.txt" #[[4]] #[1]

Hello Wine Developers. I Try to play Combat Arms in Linux with Wine, but i can't - I have used Croosover too -. In AppDB anyone could play the game. I Want to know how i do that? Blessings

Thanks. Yes. Your approach can identify: Glaxy ace S 5830 and S 5830 Glaxy ace But you can not identify using same program: Iphone 4S 16 G Iphone 4S 16G How should I solve both in same time. Kind regards,Tammy [[alternative HTML version deleted]]

Thank you very much for your reply. Your code work well with this example. I modified a little to fit my real data, I got an error massage. Error in split.default(x = seq_len(nrow(x)), f = f, drop = drop, ...) : Group length is 0 but data length > 0 On Thu, Jan 31, 2013 at 12:21 PM, arun kirshna [via R] < ml-node+s789695n4657196h87@n4.nabble.com> wrote: > Hi, > Try this: >

Dear all, Without a loop, I would like transform 3 numeric vectors empty of 0/1 of same length Vec1 : transform 1 to A and 0 to "" Vec2 : transform 1 to B and 0 to "" Vec3 : transform 1 to C and 0 to "" to obtain only 1 vector Vec who is the paste of the 3 vectors (Ex : ABC, BC, AC, AB,...) Any idea ? Thank you for your help -- Michel ARNAUD

Dear R-core There is a different output for the apply function due to the change of unlist as mentioned in the R news. Newly, applying as.factor() (or factor()) in str(dat <- data.frame(x = 1:10, f1 = gl(2,5,labels = c("A", "B")))) (d1 <- apply(dat,2,as.factor)) newly returns a character matrix while in R-2.3.1 the same command resulted in an integer matrix that was

Dear R core team Using the following code produces an empty plot (similar to col = NA): > plot(1:9, col = factor(rep(1:3,3), labels = c("red", "blue", "black"))) My question: Shouldn't one get at least a warning (or an error) if one tries to use a factor as col argument? Thanks for an answer. Regards, Christoph Buser

Dear R gurus I've a question concerning the transformation of a new S4 class (that I defined) and the existing class "POSIXlt". I did the following: ## Definition of the new class: setClass("dtime", representation(data = "POSIXlt"), prototype(data = as.POSIXlt("2004/06/01"))) ## Transformation between the new class "dtime"

Dear R core team Please apologize for posting the same question twice on R-help and R-devel. Since I was not sure which list is appropriate I tried R-help (Tue Mar 22), but got no answer. Now I do not know if the formulation of my question was unclear or the question is not so easy to answer or to easy (what I do not hope). My problem: I create a new S4 class, containing one slot, data (of

Dear R core team I've a proprosal to improve the function interaction.plot. It should be allowed to use type = "b". This can be done by changing the function's header from function( , type = c("l", "p"), ) to function( , type = c("l", "p", "b"), ) Then it works. This type = "b" is useful, if

Dear R-list I have a question concerning the argument "adjustSigma" in the function "lme" of the package "nlme". The help page says: "the residual standard error is multiplied by sqrt(nobs/(nobs - npar)), converting it to a REML-like estimate." Having a look into the code I found: stdFixed <- sqrt(diag(as.matrix(object$varFix))) if (object$method