similar to: FW: [Fwd: Re: [S] Exact p-values]

Dear Spencer Thank you for this extensive explanation of the problem. I was just curious. Best regards Christian ============================================== Christian Stratowa, PhD Boehringer Ingelheim Austria Dept NCE Lead Discovery - Bioinformatics Dr. Boehringergasse 5-11 A-1121 Vienna, Austria Tel.: ++43-1-80105-2470 Fax: ++43-1-80105-2683 email: christian.stratowa at

Dear R-experts I would like to read all files from a directory, the files have names "myname0001.txt" etc. I paste the directory plus file names and use "read.delim()". My problem is that some file names are missing, so I get an error and my program stops. Is there a way to check for a null pointer analogous to C, so that I can simply skip non-existent filenames? Please do

> Dear expeRts, > > Currently, my colors are as follows: > mycol <- > c("blue1","blue2","blue3","blue4","black","yellow4","yellow3","yellow2","y > ellow1") > heatmap(snp, Rowv=NA, Colv=NA, col=mycol) > > However, I would like to have the following colors: > bright blue ->

Dear all I apologize for cross-posting, but first it is accepted custom to thank the repliers and give a summary, and second I have still the feeling that this problem might be a general statistical problem and not necessarily related to microarrays only, but I might be wrong. First, I want to thank Robert Gentleman, Mark Kimpel and Mark Reiners for their kind replies. Robert Gentleman kindly

Hi, I have a problem executing "library(ROracle)" in R: OS/Software: Redhat 8.0, all available patches applied Oracle 9i v9.2.0.1.0 R v1.7.0 ROracle v0.5-0 DBI v0.1-5 The compilation and installation of ROracle went fine. However when I try to load ROracle I get the following: >> library(ROracle) >Error in dyn.load(x, as.logical(local), as.logical(now)) : > unable

Dear Ioannis Thank you very much for pointing me to meta-analysis. Although it may not solve my problem with the normalization, it gives me some other options to display the different correlation coefficients. One possibility is the use of Funnel plots, which are even available in library(rmeta). Another possibility is the use of forest-plots, as implemented in rmeta as metaplot. Sorrowly,

Dear all, First I apologize for cross-posting, but I think that this could be of interest to BioC users, too. For DNA copy-number analysis I have downloaded PLASQ500K from: http://genome.dfci.harvard.edu/~tlaframb/PLASQ/ After creating sub-directories SND and STD containing 3 Sty Mapping arrays each, I tried to compute parent-specific copy number: > library(PLASQ500K) > psCN <-

>> Buen día! >> Hemos enviado un trabajo a publicar y los evaluadores nos indican corregir la cita de R. Realmente no entiendo que quieren. Marcaron lo siguiente: >> >> R [A1] Development Core Team. 2009. R[A2] : A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.

Dear R users, I have a problem computing time differences using R. I have a date that are given using the following format: 20080620.00, where the 4 first digits represent the year, the next 2 ones the month and the last 2 ones the day. I would need to compute time differences between two vectors of this given format. I tried around trying to change this format into any type of time serie

Cd /xen/xen-unstable/linux/2.6.12-xen0/ Then: make ARCH=xen xconfig Thomas Diederich ************************************************** * Boehringer Ingelheim Pharma GmbH & Co.KG * A Informationsverarbeitung / Diplomant Systemtechnik * * Mail: diederit@ing.boehringer-Ingelheim.com * Phone: +49 (0)6132/77-98151 -----Ursprüngliche Nachricht----- Von:

Dear All, I wonderif there is a simple way to draw a regression line in the xyplot: more specifically, let: age <- c(20:30, 31:40 ) age.cut <- cut(age, breaks = 2 ) y<- rnorm(20) x <- rnorm(20,4,1) xyplot(y ~ x| age.cut, xlab="x", ylab="y") How to draw (in the plot given by xyplot) the two regression lines (y ~ x) corresponding to the two category

Dear R_Users, I am confronted to a technical issue that I wouldn't even know how to start to handle and where to look at. It is about data manipulation in a dataframe and value substitution Imagine I have a matrix describing a set of chemical equations. Colnames are Components names and Rownames are Reaction names Each cell in that matrix corresponds to the stoechiometric coefficient to the

There is a problem with `rpois'. It does seem to take care about the order of the arguments. This is an example: > rpois(n=1,lambda=2) [1] 3 > rpois(lambda=2,n=1) [1] 2 0 It obviously uses the first argument as the number of samples to be drawn, which is wrong. I used Version 0.49 Beta (April 23, 1997). Fredrik

There is a problem with `rpois'. It does seem to take care about the order of the arguments. This is an example: > rpois(n=1,lambda=2) [1] 3 > rpois(lambda=2,n=1) [1] 2 0 It obviously uses the first argument as the number of samples to be drawn, which is wrong. I used Version 0.49 Beta (April 23, 1997). Fredrik

(1) ...need to speed up a monte-carlo sampling...any suggestions about how I can get R to use all 8 cores of a mac pro would be most useful and very appreciated... (2) spent the last few hours trying to get pnmath to compile under os- x 10.5.4... using gcc version 4.2.1 (Apple Inc. build 5553) as downloaded from CRAN, xcode 3.0... ...xcode 3.1 installed over top of above after

Full_Name: Chanseok Park Version: R 2.2.1 OS: RedHat EL4 Submission from: (NULL) (130.127.112.89) pbinom(any negative value, size, prob) should be zero. But I got the following results. I mean, if a negative value is close to zero, then pbinom() calculate pbinom(0, size, prob). dbinom() also behaves similarly. > pbinom( -2.220446e-22, 3,.1) [1] 0.729 > pbinom( -2.220446e-8, 3,.1)

Lorena, Primero felicitaciones por terminar el trabajo para publicar. Respecto de tu pregunta, quizas mejor si le preguntas a quien te hizo la pregunta. En mi sesion de R el resultado es el siguiente > citation() To cite R in publications use: R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL

Full_Name: Wolfgang Resch Version: R 2.8.1 GUI 1.27 OS: OS X 10.4.11 Submission from: (NULL) (137.187.89.14) Strange behavior of qbinom: > qbinom(0.01, 5016279, 1e-07) [1] 0 > qbinom(0.01, 5016279, 2e-07) [1] 16 > qbinom(0.01, 5016279, 3e-07) [1] 16 > qbinom(0.01, 5016279, 4e-07) [1] 16 > qbinom(0.01, 5016279, 5e-07) [1] 0

Dear R users, I?m trying to optimize simultaneously two binomials inequalities (used in acceptance sampling) which are nonlinear solution, so there is no simple direct solution. Please, let me explain shortly the the problem and the question as following. The objective is to obtain the smallest value of 'n' (sample size) satisfying both inequalities: (1-alpha) <= pbinom(c, n, p1)