similar to: configure/build issue with gcc 3.2.0 (PR#2176)

>From: Patrick Connolly <p.connolly@hortresearch.co.nz> >To: "RenE J.V. Bertin" <rjvbertin@hotmail.com> >Subject: Re: [R] changing (core) function argument defaults? >Date: Thu, 18 Nov 2004 11:43:10 +1300 > >On Wed, 20-Oct-2004 at 07:48PM +0200, RenE J.V. Bertin wrote: > >|> Hello,

>From: Patrick Connolly <p.connolly@hortresearch.co.nz> >To: "RenE J.V. Bertin" <rjvbertin@hotmail.com> >Subject: Re: [R] changing (core) function argument defaults? >Date: Thu, 18 Nov 2004 11:43:10 +1300 > >On Wed, 20-Oct-2004 at 07:48PM +0200, RenE J.V. Bertin wrote: > >|> Hello,

This may be of interest: http://www.ijs.si/software/snprintf/ It looks like this version may well be more complete and conform the standards than the version that comes with R. BTW: I am currently patching unix/sys_std.c and modules/gtkconsole.c such that they don't store lines in the history that are identical to the previous line. Is there any interest in posting those patches here? RenE

On 6/23/05, RenE J.V. Bertin <rjvbertin at gmail.com> wrote: > Hello, > > I was just having a look at the aov function source code, and see that when the model used does not have an Error term, Helmert contrasts are imposed: > > if (is.null(indError)) { > ... > } > else { > opcons <- options("contrasts") >

Rene, Look at ?format. Sean On Sep 17, 2004, at 9:21 AM, RenE J.V. Bertin wrote: > Hello, > > I can't seem to find the way to modify the precision with which > paste() prints its floating point numbers, more precisely the number > of decimal digits printed. This is apparently not controlled by > options( digits= ), and there is no appropriate argument to paste() >

Hello, I recently installed gcc 3.2.0 next to my old gcc 2.95.3 . I understood that this should give me some performance gain. I indeed found some, but in a few cases I actually observed a considerable loss in performance. I would be interested to learn if others have similar experiences, and what the general opinion is concerning what version (and flags) to use for R! 1) gcc 3.2.0 -O3 can be

It doesn't print anything: the summary.aov (or summary.aovlist) print method does. ?summary.aov tells you the structure of the objects they return. On Tue, 15 Feb 2005, RenE J.V. Bertin wrote: > I'd like to annotate a plot with the output of summary(aov(model)), > ideally just with the significant effects. I don't find a means to > redirect what that command prints into

On Sun, 10 Oct 2004, RenE J.V. Bertin wrote: > Could I ask some hints/help in interpreting the following ANOVA results, > please? This concerns an experiment where I study the incidence and > severity of motion sickness. I have Sickness.norm, a subjective > discomfort/sickness estimate, normalised to 0..1, the session time T > (normalised to 0..1 and binned in 0.2 wide bins) and a

Dear All, There is no advantage of GUI over CLI, IMO. The real issue is the answer to the questions: "What should I do next?" or "What am I allowed to do here?" A "nice" interface, not necessarily GUI, will offer friendly answers: "I was expecting you to do _this_" or "In this situation you are allowed to do _these things_" You see, it's all

RenE J.V. Bertin wrote: > Hello, and (somewhat belated) best wishes for 2005. > > Can one order not to draw outliers in bwplot, or at least exclude them from the vertical axis scaling? If so, how (or what doc do I need to consult)? > The options that have this effect in boxplot() do not appear to have any effect with bwplot (although outline=FALSE in boxplot does *not* change the

Take a look at package mgcv. Hope this helps. --Matt -----Original Message----- From: RenE J.V. Bertin [mailto:rjvbertin at despammed.com] Sent: Thursday, February 27, 2003 1:39 PM To: r-help at stat.math.ethz.ch Subject: [R] multidimensional function fitting Hello, I have been looking around for how to perform a multidimensional, arbitrary function fit (in any case non-linear; more below),

Let's say I have a within-subject experiment with 2 observables, obs1 and ob2 and 2 independent factors, fac1 and fac2. I can do summary( aov( obs1~fac1*fac2 + Error(Subject/(fac1*fac2)) ) ) summary( aov( obs2~fac1*fac2 + Error(Subject/(fac1*fac2)) ) ) to test the 2 observables separately. > summary( fit<-manova( cbind(obs1,obs2)~fac1*fac2 + Error(Subject/(fac1*fac2)) ) ) gives

Starting html help in the current version of R has a very annoying side-effect. It indiscriminantly removes $HOME/.R, and replaces it with a virgin copy. I discovered that when all of a sudden I got complaints about my startup "library" not being found. Below is a modified version of the script that doesn't do this. It is not perfect yet (it shouldn't try to recreate links

New to R, I had the bad idea to send a bug report about '[' not knowing it had a drop= argument. Now, I wonder about the absence of this argument in subset... In both availabe methods (see below), there is a ... argument, but this argument is not used in either. Rather, subset.data.frame explitictly passes drop=F in 1 instance. Before I start patching (for my own use): what is the

Concerns: R 1.5.0 gui version, Windows (downloaded binary) and Linux (installed from sources). # Load the data from the attached file: kk<-read.table("__filename__", header=1) # attach the data: attach(kk) Snr<-factor(Snr) # fool around with a call to anova.glm(): anova.glm( aov( nFD~Type+size+Modality+Error(Snr/(Type+size+Modality)) ) ) # Error: object nFD not found # Well, I

Suppose I have a factor size with levels "small", "medium" and "large". Then, when I subset this factor: >ss<-size[size!="medium"] to get at the extremes, >levels(ss) .... Levels: large medium small The same happens with >subset( size, size!="medium") I understand that the resulting factor inherits the possible levels from its

Updating the fink flac to 1.0.4, it won't compile because finds the headers of the previous version in /sw/include, because the CPPFLAGS/CFLAGS are being put before the local includes: (configure with ./configure --prefix=/sw --mandir=/sw/share/man ) gcc -DPACKAGE_NAME=\"\" -DPACKAGE_TARNAME=\"\" -DPACKAGE_VERSION=\"\" -DPACKAGE_STRING=\"\"

It's in the FAQ, Q7.12. On Wed, 19 Nov 2003, RenE J.V. Bertin wrote: > After converting a numeric variable into a factor, is there a way to convert it back to the original values? as.double() doesn't do that correctly, for evident reasons (I guess) and as shown below. -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics,

Dear R-help, I am trying to build R-1.5.1 on a Sun Blade 100 (sparc). It fails make check when var(1) returns NaN instead of NA. Using gcc-2.95.3 from sunfreeware.com, the build succeeds and passes make check I have: Solaris 8 gcc-3.1 (built on that machine from sources and installed in /usr/local/gcc-3.1 with binaries symlink'ed to /usr/local/bin) A synopsis is at the bottom of

Dear R-help, I am trying to build R-1.5.1 on a Sun Blade 100 (sparc). It fails make check when var(1) returns NaN instead of NA. Using gcc-2.95.3 from sunfreeware.com, the build succeeds and passes make check I have: Solaris 8 gcc-3.1 (built on that machine from sources and installed in /usr/local/gcc-3.1 with binaries symlink'ed to /usr/local/bin) A synopsis is at the bottom of