similar to: aggregate(empty data.frame) (PR#13167)

Full_Name: Vilmos Prokaj Version: R 2.7.1 OS: windows Submission from: (NULL) (213.181.195.84) Dear developers, The following line of code (produced by a mistake) caused an infinite loop unique("a",c("a","b")) or also unique(1,1:2) I made a little investigation, and it seems to be that the following function from unique.c is looping infinitely static int

Full_Name: Vilmos Prokaj Version: 2.5.1 OS: windows Submission from: (NULL) (81.183.3.216) I'm not sure that this is really a bug, if not I do not understand why should it be in this way. Most of the scripts used to build and install new packages calls the R program with the --slave --vanilla command line options. In the INSTALL script however we can find the following lines

Full_Name: Prokaj Vilmos Version: R 2-4-0 OS: Windows Submission from: (NULL) (193.224.79.8) PackBits(rbinom(32,1,0.5)==1,"integer") does not work. z<-packBits(rbinom(32,1,.5)==1,"integer") Error in packBits(x, type) : argument 'x' must be raw, integer or logical Taking a closer look at the C code main/character.c do_packBits rutin one can find the following

Hi all, The new version of STAR (0.2-2) is now available on CRAN. * An error in function varianceTime has been corrected (thanks to Chong Gu). * The vignette has been updated. * A new vignette is available on STAR web sire: http://sites.google.com/site/spiketrainanalysiswithr/ * The new goodness-of-fit test for spike train models announced in the previous release in now fully functional

Hi all, The new version of STAR (0.2-2) is now available on CRAN. * An error in function varianceTime has been corrected (thanks to Chong Gu). * The vignette has been updated. * A new vignette is available on STAR web sire: http://sites.google.com/site/spiketrainanalysiswithr/ * The new goodness-of-fit test for spike train models announced in the previous release in now fully functional

I have a 43MB dataframe ( 5 variables) and I'm trying to summarize subsets of the data. I've RTFM ( not very clear) and looked at a variety of samples but cant seem to figure out how to make these functions work. A sample of what I want to do would be this: ids<-seq(1,50) years<-c(rep(5,10),rep(6,10),rep(7,10),rep(8,20))

Hi i am using a script which involves the following loop. It attempts to reduce a data frame(zz) of 95000 * 41 down to a data frame (averagedreplicates) of 95000 * 21 by averaging the replicate values as you can see in the script below. This script however is very slow (2days). Any suggestions to speed it up. NB I have also tried using rowMeans rather than adding the 2 values and dividing by 2.

Hi, dovecot tries to use OpenSSL's PRNG to generate random numbers if there is no /dev/urandom found. Unfortunately, it is flawed in its present form, since the PRNG is not seeded before RAND_bytes() is called in src/lib/randgen.c (on systems which have /dev/urandom, OpenSSL automatically seeds its PRNG from the urandom device). Here's a patch to address this issue: it tries to seed

Hi I am trying to create a loop which averages replicates in my data. The original data has many rows. and consists of 40 column zz[,2:41] plus row headings in zz[,1] I am trying to average each set of values (i.e. zz[1,2:3] averaged and placed in average_value[1,2] and so on. below is my script but it seems to be stuck in an endless loop Any suggestions?? for (i in 1:length(average_value[,1])) {

Dear readers of the list, I have a problem a comparison of two data from a vector. The comparison yields FALSE but should be TRUE. I have checked for mode(), length() and attributes(). See the following code (R2.10.0): ----------------------------------------------- # data vector of 66 double data X =

--- On Fri, 15/5/09, Amit Patel <amitrhelp at yahoo.co.uk> wrote: > From: Amit Patel <amitrhelp at yahoo.co.uk> > Subject: Help with loops > To: r-help at r-project.org > Date: Friday, 15 May, 2009, 12:17 PM > Hi > I am trying to create a loop which averages replicates in > my data. > The original data has many rows. and consists of 40 column > zz[,2:41]

Hi R users I try to use the lme but I can?t!!!!! My script is (some words in french, sorry!!): rm(list=ls(all=TRUE)) #Efface tous les objets en m?moire pour ?viter des erreurs library(MASS) #Chargement des Librairies library(car) library(Hmisc) library(tkWidgets) library(svDialogs) library(multtest) library(nlme) #Rep <- "C:/Documents and Settings/U3M/Bureau/steph/Scripts

I have installed both 32-bit and 64-bit versions of R2.12.0 (2010-06-15 r52300) on my Ubuntu 10.04 64-bit system. I observe the following behavior when running the examples from base::connections. There appears to be a problem with seek() on a .gz file when using a 32-bit installation of R2.12.0, but the problem doesn't appear in the 64-bit installation. I realize that seek() has been

Hello, I'm trying to use the package ttda, wich is involved in text analysis, for my own data about answers in a company survey. I've installed it, as well as ispell, but when trying to use an example: > zz <- file("stupid.txt", "w") # build a data file > cat("{comment - stupid data file} \n" , file = zz) > cat("<uci=1>

Full_Name: Gavin Simpson Version: 2.1.0-patched (1-Jun-2005) OS: Linux (Fedora Core 3) Submission from: (NULL) (128.40.32.76) axis.Date() insists on labelling tick marks. It could be made more flexible by allowing the user to specify if they want the ticks to be labelled, for example, to add un-labelled minor ticks for "months", added to a plot with "years" labelled. The user

Hi, I am currently writing code to input a few thousand files, run them through the Random Forests package, and then output corresponding results. When I use the code below: zz<-textConnection("ex.lm.out", "w") sink(zz)

Hello, Sorry, I know the topic has been talked about already but I searched the archives and I'm still unsure of the proper way to have dovecot (imap-login) listen to several addresses and/or several ports. 1. how do I translate dovecot-1 protocol imap { listen = xx.xx.xx.xx:143 yy.yy.yy.yy:143 ssl_listen = xx.xx.xx.xx:993 yy.yy.yy.yy:939 } I started by service imap-login {

What is the R way of computing cumulative growth rates given a series of discrete values indexed . For instance, given a matrix of 20 observations for each of 5 series (zz), what is the most straight forward technique in R for computing cumulative growth (zzcum) ? It seems for the solution I'm after might be imbedding the following cum growth rate calc as a function into a function call

I've never had any issues with the way that plot.POSIXct chooses the labels of the date axis before, but in this particular case it's output is a little confusing. plot(seq(as.POSIXct("1997-10-01"),length.out=108,by="month"),rnorm(108)) This command produces a chart with every x tick mark labeled as "Jan 01". I can replicate this chart by adding the format

Can someone explain why this happens when one of the list elements is named 'all'? > zz <- list( zoo(1:10,1:10), zoo(101:110,1:10), zoo(201:210,1:10) ) > names(zz)<-c('test','bar','foo') > do.call(cbind,zz) test bar foo 1 1 101 201 2 2 102 202 3 3 103 203 4 4 104 204 5 5 105 205 6 6 106 206 7 7 107 207 8 8 108 208 9