similar to: difference between unique() and !duplicated()

I stumbled onto this working on an update to coxph. The last 6 lines below are the question, the rest create a test data set. tmt585% R R version 2.12.2 (2011-02-25) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-unknown-linux-gnu (64-bit) # Lines of code from survival/tests/singtest.R > library(survival) Loading required package: splines

Hi all, I installed glusterfs (version 3.1.3) with zfs-fuse (0.6.9) as the underlying filesystem. After renaming a file, I found the file duplicated. Following is my test scenario. root at ubuntu:/# zpool create tank /dev/sdb root at ubuntu:/# gluster volume create test-volume ubuntu:/tank/exp1 ubuntu:/exp2 root at ubuntu:/# gluster volume start test-volume root at ubuntu:/# mount -t glusterfs

I'm not sure if this is a bug, or if I'm doing something wrong. =20 =46rom the worms dataframe, which is at in a file called worms.txt at =20 http://www.imperial.ac.uk/bio/research/crawley/therbook <http://www.imperial.ac.uk/bio/research/mjcraw/therbook/index.htm>=20 =20 the idea is to extract a subset of the rows, sorted in declining order of worm density, with only the maximum

On Tuesday 06 February 2001 12:36, Dr. Jens Oehlschlägel wrote: > I like the idea. Why don't you call duplicated.matrix() directly in > unique.matrix() and duplicated.data.frame() in unique.data.frame() ? > > Jens Oehlschlägel Good point. I guess I got carried away with using methods (having just gotten the hang of the concept). :-) Anyway, here's a corrected version:

I have a very simple problem and am completely missing the solution. I have two character variables (character ID's from two datasets) Data set 'b' is data set 'a' with one more subject added. How do I find out which is the added subject? I have tried duplicated and unique without much success. I can find all the duplicated ID's but how do I extract the new

Hi everybody I have found something (for me at least) strange with duplicated(). I will first provide a replicable example of a certain kind of behaviour that I find odd and then give a sample of unexpected results from my own data. I hope someone can help me understand this. Consider the following # this works as expected ex=sample(1:20, replace=TRUE) ex duplicated(ex) ex=sort(ex) ex

Hi everyone, I think, I've done something stupid here. At first I've created 2 lxc containers and provisioned one as dc.office.mtt and joined second one to the first ad bdc.tsnr.mtt. Then I've cloned those containers several times and changed ip adresses and dns names of new containers to different subnets. The name of domain stayed the same. At first everything seemed fine, but when

Hi, I am trying to simultaneously remove duplicate variables from two or more variables in a small R data.frame. I am trying to reproduce the SAS statements from a Proc Sort with Nodupkey for those familiar with SAS. Here's my example data : test <- read.csv("test.csv", sep=",", as.is=TRUE) > test date var1 var2 num1 num2 1 28/01/11 a 1 213 71 2

Hi people, I have made some progress trying to work out how to solve this problem but I have got a bit stuck - sorry if this turns out to be a simple exercise . . Allelic Differentiation (AD) in genetics measures the number of different alleles between (say) two populations eg: Organisms in Pop 1 have alleles: a, b, c, d, e Organisms in Pop 2 have alleles: b, b, c, d, e Different

Hi, I've been trying to get this working for ages, but it causes R to hang. Here is my C code saved as test1.c # include <R.h> # include <Rmath.h> void test1 (double *x, double *result) { result[0] = rgamma(*x, 2.0); } This was compiled using R CMD SHLIB test1.c & loaded in R using: dyn.load("test1.dll") out <-

Dear All, as shown in the example, unique() deletes names of vector elements. Is this intended? Of course, one can use indexing by !duplicated() instead. Greetings, Heinz ## unique deletes names v1 <- c(a=1, b=2, c=3, e=2, a=4) unique(v1) # names deleted v1[!duplicated(v1)] # names preserved platform i386-pc-mingw32 arch i386

Hi I have this vector of strings. MyData <- c("Test1","Test2","I(Test1^2)","I(Test2^3)","I(Test1.Test2^2)") where I want to extract only the text after "I(" and before "^" so that the string returned only contain c("Test1","Test2","Test1.Test2") I am not very skilled in the use of matching

So I am still stuck. For reference here is the smb.conf on the member server: root at florence:~# more /etc/samba/smb.conf [global] netbios name = FLORENCE security = ADS workgroup = IOL realm = IOL.SEAMANPAPER.COM log file = /var/log/samba/%m.log log level = 1 dedicated keytab file = /etc/krb5.keytab kerberos method = secrets and keytab

Hello, I am trying to create a new array by combining two other arrays. I get the following error while running : Duplicate definition: Print[test0] is already defined in file /etc/puppet/manifests/test.pp at line 47; cannot redefine at /etc/puppet/manifests/test.pp:47 My code is similar to this : <snip> ..... ..... $sys_server = [ ginger , test0 ] $usr_server = [ test0, test1,

Hi, the listescape plugin seems to take its job a little bit too serious. Dovecot version: 1.2.3 + patch 9b62aa2132de Without listescape: 2 list "" "*" * LIST (\HasNoChildren) "/" "INBOX" * LIST (\Noselect \HasChildren) "/" "#Users/test1 at merry.dovecot" * LIST (\HasNoChildren) "/" "#Users/test1 at

I am new to R (ex SAS user) , and I cannot merge two data frames without getting duplicated rows in the results. How to avoid this happening without using the unique() function? 1. First data frame is called "tmv" with 6 variables and 239 rows: > tmv[1:10,] temps nom prenom sexe dist style 1 01:59:36 Cyr Steve H 45 free 2 02:09:55 Gosselin

Hi, I have a data.frame that has 3 columns (ID, Test, Result) and looks like this 1, Test1, 120 1, Test2, 34 2, Test1, 132 2, Test2, 28 etc I would like to turn it around so that it looks like this 1, 120, 34 2, 132, 28 etc I have played around some with t and reshape, but with no success. Any suggestions or hints would be greatly appreciated. Thanks, Bruce

+Adrian & Manman, Looks like this is a case of non-DIRef references ending up in the IR, and thus the references not being deduplicated. This could lead to some of the IR bloat that you guys implemented the DIRef stuff to reduce/avoid. The specific issue is that the type is slightly different in the two TUs (since the namespace scope it's contained within is different in the two TUs -

>> Without needing to change how namespaces are handled. >> >> Yes, using DIRefs for namespaces would cause the actual type nodes to >> be deduplicated when they aren't even with the patch above, and that >> would help reduce debug info metadata further if that's >> useful/necessary. > > Exactly. While the above patch will cover up the problem, we

Hi, ?unique unique returns a vector, data frame or array like x * but with duplicate elements removed * what i'm doing wrong delete duplicated rows with same MEMEBRNO. februar <- dmsegment[unique(dmsegment$MEMBERNO),] This reduce from 197.188 rows to 184.199 but duplicated MEMBERNO didn't left all what a Primary Key setting in mysql me say and with a fix(februar) could