similar to: advise on Depends

Dear Sir, I have been using R for a long time. But recently I have faced a problem when installing the Bioconductor package named "methyAnalysis". Firstly it was require to update my older R (R version 3.4.3 (2017-11-30)) in to newer version. That time I have also updated the RStudio software. After that when I have tried to install the package named "methyAnalysis". It

Neither biocLite nor the GUI menus can install packages on my system. Here is relevant output: > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 11.1 year 2010 month 05 day 31 svn rev 52157 language R version.string R version 2.11.1 (2010-05-31) > source("http://bioconductor.org/biocLite.R") BioC_mirror =

Thank you Michael Dewey. Can you please send me the email id for Bioconductor. regards Pijush On Fri, Dec 29, 2017 at 5:20 PM, Michael Dewey <lists at dewey.myzen.co.uk> wrote: > Dear Pijush > > You might do better to ask on the Bioconductor list as IRanges does not > seem to be on CRAN so I deduce it is a Bioconductor package too. > > Michael > > > On

Need way to resize an existing graphics window. This should be applicable across platforms (as part of a package). Context: function1() draws main plot (I'm using grid), function2() adds smaller plot above main plot, but this one can sometimes overflow the original graphics window area. Thanks, Sigal

Dear Pijush You might do better to ask on the Bioconductor list as IRanges does not seem to be on CRAN so I deduce it is a Bioconductor package too. Michael On 29/12/2017 07:29, Pijush Das wrote: > Dear Sir, > > > > > I have been using R for a long time. But recently I have faced a problem > when installing the Bioconductor package named "methyAnalysis".

Hello, I'm seeing three different vignette-related errors with recent versions of R-3.0.0 alpha. First, with the package BitSeq (http://bioconductor.org/packages/2.12/bioc/html/BitSeq.html), I get the following when trying to build the package: Error: processing vignette ?BitSeq.Rnw' failed with diagnostics: Failed to locate the ?weave? output file (by engine ?utils::Sweave?) for

I've started to implement checks for package versions on dependencies in install.packages(). However, this is revealing a number of problems/misconceptions. (A) We do not check versions when loading namespaces, ahd the namespace registry does not contain version information. So that for example (rtracklayer) Depends: R (>= 2.7.0), Biobase, methods, RCurl Imports: XML (>=

I have a confusing error from R CMD check that I don't get when running the example manually by hand. In the \examples section of an Rd file, I create a GRanges object, then I call a function with the GRanges object, whose first 2 lines are require(GenomicRanges) annoDF <- as.data.frame(anno) # anno is the GRanges object. and that second line gives: Error in

Hi All I am wondering if people based on their experience could share what methods one could use to compare two gff/gtf files. The reason why I want to do so is that we have constructed a RNA-Seq based transcriptome and would like to compare it with reference transcriptome we had from in-silico approaches. Ideally we are looking to find out 1. new genes we see 2. transcripts where the

FYI, I plan on implementing this for F31 if no issues arise. ---------- Forwarded message --------- From: Ben Cotton <bcotton at redhat.com> Date: Tue, 2 Jul 2019 at 10:55 Subject: Fedora 31 System-Wide change proposal: Automatic R runtime dependencies To: <devel-announce at lists.fedoraproject.org>, Development discussions related to Fedora <devel at lists.fedoraproject.org>

Hi all, The function call series genericForPrimitive -> .findBasicFuns -> .findAll happens 4400 times while the GenomicRanges package is loading. Each time .findAll follows a chain of environments to determine that the methods namespace is the only one that holds a variable called .BasicFunsList. This accounts for ~10% of package loading time. I'm sure there is some history to that

Doing it like this: genericForPrimitive <- function(f, where = topenv(parent.frame()), mustFind = TRUE) { ans = .BasicFunsList[[f]] ## this element may not exist (yet, during loading), dom't test null if(mustFind && identical(ans, FALSE)) stop(gettextf("methods may not be defined for primitive function %s in this version of R",

The current coxme code has functions that depend on bdsmatrix and others that depend on Matrix, both those pacakges define S4 methods for diag. When loaded, the message appears: replacing previous import ?diag? when loading ?Matrix? Questions: 1. Do I need to worry about this? If so, what can I do about it? I suppose I could add an importFrom directive, but it will be a pain unless there

I do have a bunch of genes ( nearly ~50000) from the whole genome, which read in genomic ranges A range(gene) can be seem as an observation has three columns chromosome, start and end, like that seqnames start end width strand gene1 chr1 1 5 5 + gene2 chr1 10 15 6 + gene3 chr1 12 17 6 + gene4 chr1 20 25 6 + gene5

Hello, I've been attempting to make a generic method that dispatches on the first argument, which can be either an S3 or an S4 class. This is as far as I've gotten. Any suggestions about what to try next ? library(aroma.affymetrix) library(GenomicRanges) setGeneric("analyse", function(x, y, ...) standardGeneric("analyse")) setMethodS3("analyse",

so I am trying to get my R setup to run this users package. Any help would be great THANKS devtools::install_github(repo = "dadrivr/ffanalytics") I get this devtools::install_github(repo = "dadrivr/ffanalytics") Downloading GitHub repo dadrivr/ffanalytics at master from URL https://api.github.com/repos/dadrivr/ffanalytics/zipball/master Installing ffanalytics

Hi,? I have two big data set.? data _1 :? > dim(data_1) [1] 15820 5 > head(data_1) ? ?Chromosome ?????Start????????End????????Feature GroupA_3 1: ? ? ? ????????chr1 521369 ?750000 ????chr1-0001 ? ?????0.170 2: ? ? ? ????????chr1 750001 ?800000 ????chr1-0002 ? ????-0.086 3: ? ? ? ????????chr1 800001 ?850000 ????chr1-0003 ? ?????0.006 4: ? ? ? ????????chr1 850001 ?900000 ????chr1-0004 ?

That might be worth thinking about generally, but it would still be nice to have the base generics pre-defined, so that people are not copy and pasting the definitions everywhere, hoping that they stay consistent. On Wed, Mar 26, 2014 at 6:13 AM, Gabriel Becker <gmbecker@ucdavis.edu>wrote: > Perhaps a patch to R such that generics don't clobber each-other's method > tables

[cross-posted to R-devel and bioc-devel] Hi, I am trying to implement a 'sort' method in one of the CRAN packages I am maintaining ('apcluster'). I started with using setMethod("sort", ...) in my package, which worked fine. Since many users of my package are from the bioinformatics field, I want to ensure that my package works smoothly with Bioconductor. The problem

On 03/27/2014 02:13 AM, Ulrich Bodenhofer wrote: > I fully agree, Michael, that this would be a great thing to have! I have > often wondered why R and the standard packages are still sticking so > much to the old-style S3 flavor though S4 is part of standard R. I > acknowledge that backward compatibility is important, but, as far as I > got it, redefining a function or S3 generic as