similar to: Problem with read.table in Windows and Linux

Dear fellow R users, I would very much like to see an example of read/write connection (open = "r+" ) for e.g. pipe() or any other R connection. I have a standalone program which accepts input from stdin, performs some processing and returns the results on stdout. Is it possible at all to open a connection to that program, write to it (i.e. to stdin of that process) and read back the

Hi, I would like to analyze some agilent aCGH copy number files. As a start, I would like to normalize this data. I don't know what is the standard way to do this. Which package is the standard one that people use for this purpose? The chips that I am looking at are the agilent sure print 1M (G4447a) array and a custom chip with similar format. My raw data is a text file with spot locations

Hi, I'm pretty new to ocfs2 and a bit stuck. I have two Debian/Squeeze (testing) machines accessing an ocfs2 filesystem over aoe. The filesystem sits on an lvm2 volume, but I guess that is irrelevant. Even when mostly idle, everything accessing the cluster sometimes hangs for about 20 seconds. This happens rather frequently, say every 5 minutes, but the interval seems irregular while the

Hi, I am currently using the aCGH package in R version 2.1.0 Windows with some supporting packages (eg. cluster) built under R 2.1.1.Using aCGH package, I am able to identify regions of genomic aberrations in my cell lines using the HMM model. However, when I tried to use aCGH for my paraffin embeded tumour sample, I got the following warning. Warning: MAD could not ben computed for one of

Hello, since Bioconductor devel branch 3.11 started, which is operating with R-devel 4.0.0 (for e.g. 2019-11-03 r77362 on OS X 10.11.6 El Capitan), my package CFAssay 1.21.0 is not built on none of all three Systems, Linux, Windos and Mac. The error message refers to xy.coords which is called by R function plot.default. I found out that it has to do with the S3 object system. In my package I

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 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

> At the dev meeting I heard Doug Gregor say something like, "what kind of dirty animals are you, you just push directly to master!?" Based on that, I think other communities may set up workflows where they push branches to places, and some automation rebases and updates master asynchronously, optionally conditioned on some (light) testing or approval. Someone has already mentioned

Code-named R+Team, our commercially supported R group is looking for beta testers for R+ on Solaris and R+ on Linux. We'd love to get your feedback for our R+Professional version that has additional funcationalities for enterprise support. The sooner we get your feedback and inputs, the faster we'll make changes for the final release! To participate in our beta test program, please

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, all, I pressed Ctrl+C in R process, and found that the child process which was spawned by using "pipe" is terminated due to this. Are there any way to work around it, so that the child process can run happily without being terminated? Or can we block the signal for the child process? 1. I used pipe to spawn one C++ process, which will running in a loop without exiting immediately.

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)

list.files() (and dir()) don't appear to return names of directories when one uses the recursive=T argument. E.g., > dir(file.path(R.home(),"library"), pattern="^R$", recursive=T) [1] "Malmig/help/R" but the unix find commmand finds lots of R directories > z <- system(paste("find", file.path(R.home(),"library"), "-name

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