similar to: max length of a factor variable

Is there a method to save a large and complex R object (either as a binary or text file) so that it can be loaded and reused at a later time? Specifically, I am creating large lists (several thousand elements), each element of which is either a vector or a matrix (with ~ 2000 rows). The dimensions of the matrices are not all the same. My ideal would be a set of functions of the form obj

Does anyone know if the survreg function in the survival package can fit numerical covariates ? When I fit a survival model of the form survreg( Surv(time,censored) ~ x ) then x is always treated as a factor even if it is numeric (and even if I try to force it to be numeric using as.numeric(x). Thus, in the particular example I am analysing, a simple numerical covariate becomes a factor

Does anyone know a way to do the following: Save a large number of R objects to a file (like load() does) but then read back only a small named subset of them . As far as I can see, load() reads back everything. The context is: I have an application which will generate a large number of large matrices (approx 15000 matrices each of dimension 2000*30). I can generate these matrices using an

Dear R-help We have a regression problem which could be solved elegantly if we could figure out how to get the R residuals() function to accept missing dependent variables. We have ~20000 gene-expression vectors y, each being measured on the same set of individuals, but each having a small random number of missing values. For each expression vector we wish to search across the genome

Full_Name: Richard Mott Version: 1.9.0 OS: Windows XP Submission from: (NULL) (81.178.233.208) Shouldn't these give the same answer? > pchisq(67.60644,df=1,lower.tail=F,ncp=0) [1] 3.219647e-15 > pchisq(67.60644,df=1,lower.tail=F) [1] 1.996145e-16 >

*The Jenner Institute is seeking to appoint an outstanding Bioinformatician to run a Transcriptomics Core Facility at the Jenner Institute and to identify, develop and integrate bioinformatics resources into the research programmes of the institute. You will be based at the Jenner Institute in the Old Road Campus Research Building, Headington, Oxford and working in conjunction with Gilean

I am running Samba on Solaris 2.6 and am connecting to it from Windows NT4.0. Whilst running some Access software the database is initially accessed without problem but part way through processing I get the report that the database file cannot be accessed since it is exclusively opened by another user. I cannot then read the database at all until I log out of Windows then back in. All is

PTAk_1.1-1 ( Principal Tensor Analysis on k modes) has been released on CRAN A multiway method to decompose a tensor (array) of any order, as a generalisation of SVD also supporting non-identity metrics and penalisations. 2-way SVD with these extensions is also available. The package includes also some other multiway methods: PCAn (Tucker-n) and

PTAk_1.1-1 ( Principal Tensor Analysis on k modes) has been released on CRAN A multiway method to decompose a tensor (array) of any order, as a generalisation of SVD also supporting non-identity metrics and penalisations. 2-way SVD with these extensions is also available. The package includes also some other multiway methods: PCAn (Tucker-n) and

Hi all, I managed to get all my VMs (5 in total) up and running in bridged mode with public IP addresses from my ISP. All are running Debian Etch in a Dom) of Debian Etch with Xen 3.1 using the instructions here: http://www.howtoforge.com/debian_etch_xen_3.1 But ideally I only want two of the DomUs on the public internet with the other three only on an internal network and the two

hello Another beginners question..... I've been googling through the icecast archives looking for information on how icecast handles multiple clients. Haven't been able to find what I'm looking for. Could someone please explain (or direct me to links) what happens to the upload bandwidth of a box running icecast, when more than one client connects? For example, if a box on a 128kbps

I have a set of data that is not normally distributed and for which I need to build a model. So, I tried the lrm function from the design-package. The first run went well, and I got the following results: Wald Statistics Response: RVCL2PROC.mott Factor Chi-Square d.f. P TTV.mott (Factor+Higher Order Factors) 69.01 4

On Wed, 2005-05-11 at 10:37 +0100, gARetH baBB wrote: > On Wed, 11 May 2005, Iain Mott wrote: > > > Tried with http://zhongshuobeijing.dyndns.org:7000/streamname.m3u > > but was blocked. And at last resolve: > > http://139.168.32.224:7000/streamname.m3u > > Well, 40 minutes later that host is certainly not responding. > good morning No, I shut it down at the

hello list I'm preparing to do a sound project in china where I hope to broadcast an mp3 stream using Icecast2. I've set up test system (outside China) and it seems to be working happily (using Pd to generate audio and the extension "shoutcast~" to stream to the icecast server). I've asked a few people in china to tune into these broadcasts and have run into problems.

Tried with http://zhongshuobeijing.dyndns.org:7000/streamname.m3u but was blocked. And at last resolve: http://139.168.32.224:7000/streamname.m3u is that what you mean? no, perhaps you mean the localhost? "bicho" is its name. Pardon me if i'm confused on this. Will also, tomorrow, try your suggestion of port 443 and Ross' suggestion of the web port. cheers, iain On Wed,

Dear @Bert Gunter<mailto:bgunter.4567 at gmail.com>, I tried merge and I faced many challenges. @Rui Barradas<mailto:ruipbarradas at sapo.pt> solution is working. From: Bert Gunter <bgunter.4567 at gmail.com> Date: Friday, 13 October 2017 at 22:44 To: Kevin Wamae <KWamae at kemri-wellcome.org> Cc: R-help <R-help at r-project.org> Subject: Re: [R] Populate one data

Dear @William<mailto:wdunlap at tibco.com>, thanks for the feedback. I have tested it on the larger dataset and noticed that it created two variables, pf_raw and pf_curated. The output we were looking for, was one that takes the variable pf_mcl in curated dataset and replaces pf_mcl in matching rows within the raw dataset. @Eric<mailto:ericjberger at gmail.com>?s solution was able to

Your example used one distinct studyno in DF1 and one distinct pf_mcl in DF2. I think that makes it hard to see what is going on, but maybe I completely misunderstand the problem. In any case, let's redefine myDF1 and myDF2. Note that myDF1 contains a studyno not in myDF2 and vice versa. myDF1 <- structure(list(studyno = c("J1000/9", "J895/7", "J931/6",

I'm trying to populate the column ?pf_mcl? in myDF1 with values from myDF2, where rows match based on column "studyno" but the solutions I have found so far don't seem to be giving me the desired output. Below is a snapshot of the data.frames. myDF1 <- structure(list(studyno = c("J1000/9", "J1000/9", "J1000/9", "J1000/9",

*The Jenner Institute is seeking to appoint an outstanding Bioinformatician to run a Transcriptomics Core Facility at the Jenner Institute and to identify, develop and integrate bioinformatics resources into the research programmes of the institute. You will be based at the Jenner Institute in the Old Road Campus Research Building, Headington, Oxford and working in conjunction with Gilean