similar to: R on the Zaurus (the return)

Hello All, The link to the binary & installation instructions (tar.gz binary not an ipk I'm afraid) is as follows: http://students.bath.ac.uk/enpsgp/Zaurus/#R It eventually dawned on me that the WORDS_BIGENDIAN define (or lack thereof) was causing the problems (after testing ieee NaN compliance that is). When cross-compiling it's probably fair enough that the configure script

Hello All, I have a working port of R on my SL5500. I've not tested the X windowing support yet, but was more concerned about the accuracy of the fp emulation. The following is the result of the test which Stuart Leask recommended I should try: Mandrake 8.2 > x<-NA > is.na(x) [1] TRUE > x+1 [1] NA > 2*x [1] NA Zaurus OZ3 > x<-NA > is.na(x) [1] TRUE > x+1 [1] 1

Hello All, A bit of a long one (background mainly), this is really just a request for some ideas. I ported R 1.7.x for use on the Sharp Zaurus (& iPAQ, simpad, yopy, etc.) some time ago and have just ported 1.8.1 but had never quite realised that you actually need to install some packages to make the system useful (I don't use R, I did it as a favour and of course for the fun of it). I

Hi All, I've recently dusted off my cross-compiling hat and decided to add R to the OpenEmbedded build environment (this is used to build the OpenZaurus/Familiar distributions for the Zaurus/iPAQ amongst other things - I note there's also work underway to add the Psion 5mx etc. to OpenEmbedded). OpenEmbedded builds now use -soft-float which makes floating point operations something like

For what it is worth, here are my experiences. When I first got my zaurus I compiled R version 1.4.0 for the it. It took some time to do, but managed with the skiffclusters at familiar.org. (libf2c was the hardest part). Compilation should be easier now that there are onboard compilers but I haven't tried. I thought this would be neat to have in the classroom. (It did get one student to buy

Dear All, I have a working (in so far as NAs are handled correctly) version of R running on the Zaurus. The problem was not ieee 754 compliance but rather the fact that the configure script did not realise that the Z had a bigendian processor. I'll post a link, etc. tomorrow on the Zaurus forum for those who may be interested (http://www.zaurus.com/dev/board/) in downloading a copy.

Hi All, I have read the article on lazy-loading in the September R news letter, and think I have at least a vague grasp on what is happening. Am I right in thinking that, assuming I were using the same packages, I could copy the .rdb & .rdx files from one installation of R (2.0.0) to another? I ask this as I'm trying to cross-compile R (for ARM), and need to use R itself to perform the

Just wondering if there are any Zaurus owners out there using there zaurus as a voip phone?? I'm trying to decide which on to buy. The sl-6000 is perfect for phone use from what I've read, but it's not very pocket friendly (http://www.sharpusa.com/images/hpc_SL6000_pic1.jpg) The clamshell models (http://conics.net/shp/pda/zaurus-sl-c700/sl-c3000.html) are much nicer but would

Hello, has anyone tried to get R running on a Sharp Zaurus 5500? Andrew Andrew Robinson Phone: 208-885-7115 Department of Forest Resources Fax: 208-885-6226 University of Idaho E: andrewr at uidaho.edu Po Box 441133 WWW: http://www.uidaho.edu/~andrewr Moscow, ID 83843 and: http://www.biometrics.uidaho.edu/ No statement above

mgcv 1.4 is now on CRAN. It includes new features to allow mgcv::gam to fit almost any (quadratically) penalized GLM, plus some extra smoother classes. New gam features ------------------------- * Linear functionals of smooths can be included in the gam linear predictor, allowing, e.g., functional generalized linear models/signal regression, smooths of interval data, etc. * The parametric

mgcv 1.4 is now on CRAN. It includes new features to allow mgcv::gam to fit almost any (quadratically) penalized GLM, plus some extra smoother classes. New gam features ------------------------- * Linear functionals of smooths can be included in the gam linear predictor, allowing, e.g., functional generalized linear models/signal regression, smooths of interval data, etc. * The parametric

Ah, but the interesting thing is that they are coming out with a 'clam' version like the 5MX. Details are limited at the moment, but that could mean the combination of 5MX usability with a supported linux distro. I am drooling in anticipation. Sounds like a "I've finally finished my PhD and deserve a treat" situation to me :) Dave On Thu, Mar 06, 2003 at 09:17:20AM

I'm using rsync to mirror my Sharp SL-5500 Linux PDA home directory to my Linux desktop over a TCP/IP-on-USB link. I'm running the following command as root on the 5500: /home/QtPalmtop/bin/rsync -av /home/zaurus \ 192.168.129.1::zaurus I'm running the rsync server out of xinetd. I have verified with 'ps' that the server, when it starts, is running as root. The files are

This is an OpenPGP/MIME signed message (RFC 2440 and 3156) --------------enig05F2F5838E1DC28DCA5557B7 Content-Type: multipart/mixed; boundary="------------040200040609050204020409" This is a multi-part message in MIME format. --------------040200040609050204020409 Content-Type: text/plain; charset=us-ascii; format=flowed Content-Transfer-Encoding: 7bit Hi, Using Mandrake 9.0 and

I've got a data frame which I've split by a factor, creating a list of dataframes which I have then done various operations on individually. I next want to recombine the resulting dataframes (still held in a list, still with the same number of columns with the same names) and there does not appear to be a `good' way to do this - at the moment, I'm using a for-loop with the rbind

The help pages of R-1.2.2 include several pages on various time series functions, but when I try to use these functions they appear not to be available .... am I missing something obvious, or are these functions not yet built? Chris Rogers ----------------------------------------------------------------------- L C G Rogers, Professor of Probability tel:+44 1225 826224 Department of

Hi, Currently the `gaussian' family's initialization code signals an error if any response data are zero or negative and a log link is used. Given that zero or negative response data are perfectly legitimate under the GLM fitted using `gaussian("log")', this seems a bit unsatisfactory. Might it be worth changing it? The current offending code from `gaussian' is:

Hi, According to the help file for model.frame/get_all_vars, the following should produce the same output from both functions, but it doesn't... > dat <- list(X=matrix(1:15,5,3),z=26:30) > model.frame(~z+X,dat) z X.1 X.2 X.3 1 26 1 6 11 2 27 2 7 12 3 28 3 8 13 4 29 4 9 14 5 30 5 10 15 > get_all_vars(~z+X,dat) [1] z X <NA> <NA> <0

x <- NA na.act <- na.action(na.exclude(x)) y <- rep(0,0) naresid(na.act,y) ... currently produces the result... numeric(0) ... whereas the documentation might lead you to expect NA The behaviour is caused by the line if (length(x) == 0L) return(x) in `stats:::naresid.exclude'. Removing this line results in the behaviour I'd expected in the above example (and in a

mgcv 1.5-0 is now on CRAN. Main changes are: * REML and ML smoothness selection are now available. * A Tweedie family has been added. * `gam.method' has been replaced (see arguments `method' and `optimizer' for `gam') For other changes see the changeLog. Simon -- > Simon Wood, Mathematical Sciences, University of Bath, Bath, BA2 7AY UK > +44 1225 386603