similar to: max row

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: >

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 <-

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

On 2 September 2016 at 14:51, Rowland Penny via samba <samba at lists.samba.org > wrote: > > > As I said, I know very little about freebsd, but you should be aware > that Samba only supports the last three major versions i.e. at the > moment 4.2.X, 4.3.x and 4.4.x > They are supported in three ways, the oldest version (now 4.2.x) only > gets security fixes, the middle

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 =

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Dear all, I'm quite new in R and I have a problem with the function which. When I use it to select a subset of a dataframe it works well but somewhere R takes trace of the past dataframe and this creates problems with following operations. For example: sentences <- read.xls("frasi.tot.march.3.xls", header=TRUE) head(sentences) fam subjID Cond Code reg total first

Hi, You could try: A<- matrix(unlist(read.table(text=" 1 2 3 4 5 6 7 8 9 9 8 7 6 5 4 3 2 1 ",sep="",header=FALSE)),ncol=3,byrow=FALSE,dimnames=NULL) library(matrixStats) ?res1<-t(sapply(split(as.data.frame(A),as.numeric(gl(nrow(A),2,6))),colProds)) ?res1 #? [,1] [,2] [,3] #1??? 4?? 10?? 18 #2?? 63?? 64?? 63 #3?? 18?? 10??? 4

Hi all, The C++11 (& C11) compare_exchange functions with explicit memory order allow you to specify two sets of semantics, one for when the exchange actually happens and one for when it fails. Unfortunately, at the moment the LLVM IR "cmpxchg" instruction only has one ordering, which means we get sub-optimal codegen. This probably affects all architectures which use

Hi Folks, A while back I sent a asked a question about Running the Quakeworld server and samba together under Redhat Linux 4.2. I was experiencing complete system lock ups. Anyway, I think I have narrowed the problem down. It's nothing to do with the Quakeworld server though. I can reliably (!?) make my Redhat Linux system crash (totally seize up) by running this simple batch file below on

Tengo el mismo problema que Eva en cualquier script que defina una función, pero no en otros que no definen funciones. Por ahora he tenido que desinstalar la versión 2.14.0. Os dejo un ejemplo (he simplificado la función, pero he dejado la estructura fundamental por si ahí está el error): si lanzáis source("probando.r") veréis que sale el mensaje de error. Por supuesto, garantizo que

Greetings, I am trying the get the standard errors of multiple comparisons using Tukey's HSD. These are not reported by the function TukeyHSD. When I apply the following code to the data, which I store as PROLE4.TXT, several unexpected things happen. First, the function TukeyHSD works for all the comparisons but the function simint doesn't. Second, after the application of na.omit

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]

input: > values [1] 0.854400 1.648465 1.829830 1.874704 7.670915 7.673585 7.722619 > thresholds [1] 1 3 5 7 9 expected output: [1] 1 4 4 4 7 That is, need a vector of indexes of the maximum value below the threshold. e.g. First element is "1", because value[1] is the largest below threshold "1". Second element is "4", because value[4] is the

I''ve addressed all (I think/hope) of the review comments. The main change is to expose the guest virtual platform (e.g. memory layout and interrupt usage etc) to the toolstack via the public interface. This is then used during FDT generation. I have just codified the current defacto standard layout, it''s probably not the best layout but any change can be a separate patch/series.

Biggest change is to switch the new DTB node to /xen-core-devices instead of /xen at Stefano''s request. I also dropped the few patches title HACK etc which weren''t supposed to be there and fixed up some bits and pieces which folks commented on. George, WRT the freeze I think this is functionality which we cannot ship Xen 4.4 without. The impact is entirely constrained to the

I have a large dataset (~1 million rows) of three variables: ID (patient's name), DATE (of appointment) and DIAGNOSIS (given on that date). Patients may have been assigned more than one diagnosis at any one appointment - leading to two rows, same ID and DATE but different DIAGNOSIS. The diagnoses may change between appointments. I want to subset the data in two ways: - define groups