similar to: controlling printing precision in paste()

>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") >

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

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),

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

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

There is an incompatibility between R's configure/build process, and gcc 3.2.0 (and maybe earlier). Gcc 3.2.0 includes -I/usr/local/include by default, on my system (default configuration), and cpp0 issues a warning when this flag is issued additionally by the user (= R's configure). This warning ends up in the dependency sections of the Makefile that are generated

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

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

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

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

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

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,

RenE J.V. Bertin wrote: > I find myself doing lots of tests like > > >>subset( data, symptoms=='a' | symptoms=='e' | symptoms=='z' .... ) > > > with symptoms one of the factors contained in the data frame. > > and I wonder if there is not an existing operator or function which implements this sort of repeated conditional in a more

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

Hello - and happy newyear to all of you! I've got some data that I'm plotting with bwplot, a 3x2x3 design where the observable decreases with the principle independent factor, but at different rates. I'd like to get lattice to impose not a single set of axes ranges identical for all panels, but ranges that are identical for each panel row or each column. Effects will stand out 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

Default arguments are evaluated in the function frame, not in the calling environment (nor in the same place as explicit arguments). > Which to me reads that a with statement as above is equivalent to > > > attach(data) ; aov.SS1(y=Obs) ; detach(data) > > Or is that just wishful thinking?? The latter. On Thu, 7 Oct 2004, RenE J.V. Bertin wrote: > Hello, > >