similar to: enabling reproducible research & R package management & install.package.version & BiocLite

There are numerous tools like scons, make, ruffus, ant, rake, etc. that can be used to build complex pipelines based on task dependencies. These tools are written in a variety of languages, but I have not seen such a thing for R. Is anyone aware of a package available? The goal is to be able to develop robust bioinformatic pipelines driven by scripts written in R. Thanks, Sean

Hi Peter, Sorry if I was not clear. Perhaps an example will make my point: > data(iris) > class(iris$Species) [1] "factor" > write.table(iris,'data/myiris.tab') > data(myiris) > class(myiris$Species) [1] "factor" > rm(myiris) > options(stringsAsFactors = FALSE) > data(myiris) > class(myiris$Species) [1] "factor" >

Aha... Hadn't noticed that stringsAsFactors only works via as.is in read.table. Yes, the doc should probably be fixed. The code probably not -- packages loading different data sets depending on user options is an even worse idea than hav?ng the option in the first place... (I don't mean having the possibility, I mean the default.stringsAsFactor thing). In general, read.table() gets

Hiya, Probably been debated elsewhere.... I note that R's `data` function does not respect default.stringsAsFactors By my lights, it should, especially as it is documented to call read.table, which DOES respect. Oh, but: http://r.789695.n4.nabble.com/stringsAsFactors-FALSE-tp921891p921893.html Compelling. I have to agree. So, I change my mind. By my lights, `data` should then be

Malcolm, I tested the code on a clean R 3.2.0 session. Not even in RStudio, just to rule that out. > sessionInfo() R version 3.2.0 (2015-04-16) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 8 x64 (build 9200) locale: [1] LC_COLLATE=English_United Kingdom.1252 [2] LC_CTYPE=English_United Kingdom.1252 [3] LC_MONETARY=English_United Kingdom.1252 [4] LC_NUMERIC=C [5]

Hi R-devel, tcltk devel, and sqldf devel, The transcript below shows how loading the tcl/tk library in under R causes subprocesses to ignore SIGPIPE. I am including the developer of the (wonderful) sqldf package since it requires tcltk and you might like to make this dependence optional to the user (at least until this is fixed in tcltk). Am I mistaken in calling this a 'bug'? Any

If I actually finished writing this module, would any of you use it? Would you wish it did something else/different than what's described below? Any comments or suggestions on its proposed usage, intent, or syntax are welcome! (An alternative, better name would also be appreciated) -Aaron NAME R::Wrapper - Wrapper around the RS-Perl R module SYNOPSIS #!/usr/bin/perl -w

I have a 47k x 47k adjacency matrix that is very sparse (at most 30 entries per row); my textual representation therefore is simply an adjacency list of connections between nodes for each row, e.g. node connections A B C D E B A C D C A E D A E A F F E G H I'd like to import this into a dataframe of node/connection (character/vector-of-characters) pairs. I've experimented with

I am intrigued by the possibility of using R as the SHELL in a (Gnu) makefile (instead of /bin/sh). (c.f. http://www.gnu.org/software/make/manual/make.html#Choosing-the-Shell) Well, rather, I would like the makefile's SHELL to be a command which communicated with an R process. The makefile targets/prerequistes would, as always, be OS files, which would be written/read using standard R file

Is there anyway I can write a script which feed input datasource from stdin and let R process it (maybe frequency report) then output the report to stdout? I can't seem to find much info on documentation or FAQ on this topic. Thanks! Soichi Hayashi ********************************************************************** The information contained in this communication is confidential,

On Thu, Feb 18, 2016 at 6:03 PM, Cook, Malcolm <MEC at stowers.org> wrote: > Hi Peter, > > Sorry if I was not clear. Perhaps an example will make my point: > >> data(iris) >> class(iris$Species) > [1] "factor" >> write.table(iris,'data/myiris.tab') >> data(myiris) >> class(myiris$Species) > [1] "factor" >>

Hi, > Aha... Hadn't noticed that stringsAsFactors only works via as.is in read.table. > > Yes, the doc should probably be fixed. The code probably not Agreed. Is someone on-list authorized and willing to make the documentation change? I suppose I could learn what it takes to be a "player", but for such a trivial fix, it probably is overkill. Dissenting opinions?

On 05/10/2015 7:24 PM, Matt Dowle wrote: > Joris Meys <jorismeys <at> gmail.com> writes: > >> >> Hi all, >> >> I have a puzzling problem related to nchar. In R 3.2.1, the internal > nchar >> gained an extra argument (see >> https://stat.ethz.ch/pipermail/r-announce/2015/000586.html) >> >> I've been testing code using the

I've posted a message twice to this list, and never seen it appear yet ... perhaps this one will go through ... ? -- Aaron J. Mackey, Ph.D. Dept. of Biology, Goddard 212 University of Pennsylvania email: amackey at pcbi.upenn.edu 415 S. University Avenue office: 215-898-1205 Philadelphia, PA 19104-6017 fax: 215-746-6697

Dear R gurus, I have a very embarrassingly parallelizable job that I am trying to speed up with snow on our local cluster. Basically, I am doing ~50,000 t.test for a series of micro-array experiments, one gene at a time. Thus, I can easily spread the load across multiple processors and nodes. So, I have a master list object that tells me what rows to pick up for each genes to do the t.test from

The warnings from make.packages.html() on the Apple Mac OS X platform can be dealt with as follows: ------------------------------------------------ (1) make.packages.html() uses the function tempdir() and attempts to create a temporary directory in the default location /tmp/ which fails due to the /tmp directory architecture on the Mac. I set up a .Renviron file in my user account

The following two patches allow the parallel use of memsharing, xenpaging and xen-access by using an independent ring buffer for each feature. Please review. v2: - update mem_event_check_ring arguments, check domain rather than domain_id - check ring_full first because its value was just evaluated - check if ring buffer is initialized before calling mem_access_domctl/mem_paging_domctl

I have not devoted time to setting up ROracle since binaries are not available and it seems to require some effort to compile (see http://cran.r-project.org/web/packages/ROracle/index.html). On the other hand, RODBC worked more or less magically once I set up the data sources. What is your success using ROracle and why would it be preferable to RODBC ? -Avram On Thursday, September 11,

What the <bleep> are you on about? data() does many things, only some of which call read.table() et al., and the ones that do have no special treatment of stringsAsFactors. -pd > On 18 Feb 2016, at 21:25 , Cook, Malcolm <MEC at stowers.org> wrote: > > Hiya, > > Probably been debated elsewhere.... > > I note that R's `data` function does not respect

My Cisco 7905 can't register with Asterisk (1.0.7-BRIstuffed-0.2.0-RC7k on Debian stable). It could, however, register with another installation of Asterisk and the settings on the phone (apart from the SIP proxy address) haven't changed since then. On the new Asterisk box my sip.conf contains this: [jeremy] type=friend regexten=801 allow=g729 host=dynamic secret=PASSWORD nat=yes