similar to: Summary: What's analagous to data.restore?

I've used Splus for 5 or 6 years and recently installed R for Linux. I want to get a whole bunch of objects from S over to R. I'd have thought data.dump and data.restore would work, but it's done a different way. I looked all through the FAQ but my question doesn't seem to be "Frequent" enough to be mentioned. Thanks Patrick

While termplot is under discussion, here's another proposal. I'd like to change the default for partial.resid to TRUE, and for smooth to panel.smooth. I'd be surprised if those changes were to break existing code. John Maindonald email: john.maindonald at anu.edu.au phone : +61 2 (6125)3473 fax : +61 2(6125)5549 Centre for Mathematics & Its Applications, Room

Further to my earlier message, I've now got both the Turlach solution & the Venables solution to work in R0.64.2 The as.name() conversion in the Venables solution is not needed. John Maindonald email : john.maindonald at anu.edu.au Statistical Consulting Unit, phone : (6249)3998 c/o CMA, SMS, fax : (6249)5549 John Dedman Mathematical

<soap-box> While I agree with John about abuse of methodology, I can't subscribe to the "failure to read the manual" proposition. I don't mean to lecture, but it would seem to me that people who, like me, will probably gain far more from this list than we will be able to contribute (at least in the near term) owe it to those who will likely contribute far more than they

Following p.206 of "Statistical Models in S", I wish to change the code for summary.glm() so that it estimates the dispersion for binomial & poisson models when the parameter dispersion is set to zero. The following changes [insertion of ||dispersion==0 at one point; and !is.null(dispersion) at another] will do the trick: "summary.glm" <- function(object, dispersion =

Fisher is not the only person that it may be necessary to read 4 or 5 times. The same may be the case for side comments that Bill Venables is wont to make. Now to the parallel universe that I have in mind. I wonder whether the time is opportune for a list that focuses on "Statistical Methodology for R Users". The difference from other statistical methodology lists is that it will be

My question was supposed to have been (I had plot() instead of text()!) I have e. g. > txt <- "abcd" In > text(x,y, expression(sqrt(txt))) I want txt to be evaluated, i. e. to get sqrt(abcd) plotted, (with the square root symbol replacing sqrt, of course). Is there a way to achieve this? Berwin Turlach provided the following: > txt <- "abcd"

Peter Dalgaard writes: > Bill.Venables at cmis.csiro.au writes: > ........ > > [WNV] Now there's an insight! In fact I think that once you get used to > > the style you get to appreciate it. The commercial world substitutes > > politeness for candour. True candour can be disconcerting but it does get > > the message across much quicker. > Also, this

================================================= This is an automated summary of the status of the R-bugs repository. Note that this may be neither complete nor perfectly correct at any given instance: Not all bugs are reported, and some reported bugs may have been fixed, but the repository not yet updated. Some bug fixes are difficult to verify because they pertain to specific hardware or

I wonder whether there is any comment on the following. It is a summary of a 10 minute contribution that I made to a biostatistical workshop help yesterday in Sydney. My aim was to highlight the benefits of the Linux/R development model, in a session with the title: "How can statistical packages be improved?" =================================================================== The R

I am new to using R and would appreciate some advice on which books to start with to get up to speed on using R. My Background: 1-C# programmer. 2-Programmed directly using IMSL (Now Visual Numerics). 3- Used in past SPSS and Statistica. I put together a list but would like to pick the "best of" and avoid redundancy. Any suggestions on these books would be helpful (i.e. too much

================================================= This is an automated summary of the status of the R-bugs repository. Note that this may be neither complete nor perfectly correct at any given instance: Not all bugs are reported, and some reported bugs may have been fixed, but the repository not yet updated. Some bug fixes are difficult to verify because they pertain to specific hardware or

This is not so much a bug as an infelicity in the code that can easily be fixed. The initialize expression in the quasi family function is, (uniformly for all links and all variance functions): initialize <- expression({ n <- rep.int(1, nobs) mustart <- y + 0.1 * (y == 0) }) This is inappropriate (and often fails) for variance function "mu(1-mu)".

Hi All! I am desperately needing some help figuring out how to calculate LD50 with a GLMM (probit link) or, more importantly, the standard error of the LD50. I conducted a cold temperature experiment and am trying to assess after how long 50% of the insects had died (I had 3 different instars (non significant fixed effect) and several different blocks (I did 4 replicates at a time)=

I was unable to open this file Bill Venables' excellent "Exegeses on Linear Models" posted at http://www.stats.ox.ac.uk/pub/MASS3/Exegeses.ps.gz I'd be very interested in reading it? Thanks Esther Meenken Biometrician Crop & Food Research Private Bag 4704 Christchurch TEL: (03) 325 9639 FAX: (03) 325 2074 EMAIL:MeenkenE at crop.cri.nz Visit our website at

Dears, I saw in the R-project site some R-books. However, I'm new in this community and I didn't figure out what are the best books. Can you suggest me some "reference" books? My intentions with R is concerned to Artificial Intelligence simulations, Classification and general Statistics (e.g., regression, multivariate regression, etc). Thanks for any help, Anderson

================================================= This is an automated summary of the status of the R-bugs repository. Note that this may be neither complete nor perfectly correct at any given instance: Not all bugs are reported, and some reported bugs may have been fixed, but the repository not yet updated. Some bug fixes are difficult to verify because they pertain to specific hardware or

OK, I see now that I was supposed to twig that the reference was to putting the ?.Rnw' files back into the vignettes directory from the inst/doc directory where they?d been placed in the course of creating the tar.gz file. I am still trying to work out what I need to put into ?.Rinstignore? so that ?.install_extras? is not installed. John Maindonald email: john.maindonald at

Sorry. This, and the description in the ?Writing R Extensions? manual, leaves me completely mystified. Is it that I have to remove the PDFs that are created when I run ?R CMD build?, and somehow ensure that they are rebuilt when the package is installed? Do I need a Makefile? John Maindonald email: john.maindonald at anu.edu.au<mailto:john.maindonald at anu.edu.au> phone :

Confirmation from John Maindonald. -- Brian D. Ripley, ripley@stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 ---------- Forwarded message ---------- Date: Fri, 3