similar to: lattice question: adding slopes to bwplot

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

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

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

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

I upgraded to gtk+-1.2.10 and try to recompile R. This gtk release has its headers in ${prefix}/include/gtk-1.2/g{t,d}k/ (as can be seen from gtk-config --cflags). The gnome module build doesn't seem to account for this, and thus can't find gtk.h &sui. Is this a known issue (aka bug)? RenE J.V. Bertin College de France/LPPA 11, place Marcelin Berthelot 75005 Paris, France

>From the documentation to the quantile function: ... `quantile(x,p)' as a function of `p' linearly interpolates the points ( (i-1)/(n-1), ox[i] ), where `ox <- order(x)' (the ``order statistics'') and `n <- length(x)'. This gives `quantile(x, p) == (1-f)*ox[i] + f*ox[i+1]', where `r <- 1 + (n-1)*p', `i <- floor(r)', `f

Here's the patch. It looks like it does what I want it to do, but I haven't yet tried it with multiple-line entries and the like. Please let me know if anything turns up that I should look into (I attached it too, in case hotmail wraps). RenE J.V. Bertin College de France/LPPA 11, place Marcelin Berthelot 75005 Paris, France ## A couple of 'diff -c' patches to modify the

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

On Friday 17 September 2004 13:52, RenE J.V. Bertin wrote: > Hello again, > > I am doing regressions (using panel.lmline() (and panel.abline( > rlm(...))) ) inside a panel method which I pass to bwplot(). > > What I would like to do is create a boxplot of categorised data > (binned on the independent variable), and superpose a regression line > which is calculated using the

Hi, I have an experimental design with 3 factors (Type, size and Modality), where the stimulus for Type==B, size==small was identical to that for Type==A, size==small. Since I am in the end only interested in Type==A, I "relabeled" all Type==B,size==small responses as Type==A,size==small. This gives me an unbalanced design, with a certain number of missing combinations, and others that

On Mon, 15 Jul 2002 08:39:05 +0100, Paul Hewson <PHewson at devon.gov.uk> wrote regarding "RE: [R] lattice question: adding slopes to bwplot" Hi, Thanks. It made sense indeed: enough to discover the panel.linejoin function which does what I was looking for. <error here> I also understand now why I didn't find this, and associated, routine:

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

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, 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 have some data in a data.frame where for each of a number of subjects, I have scores for all of a number of symptoms. Subjects are subdivided in a number of groups, which have unequal sizes. I'd like to plot between-group differences in the scores on the various symptoms. Ideally, that would be in a form as would be produced by > bwplot( Score~Symptom ) but I'm not sure

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

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

Hi, This question is related to the bwplot issue I reported yesterday. I have a 3 factors (2x3x2) dataset that I collapsed into a 2 factors dataset (3x2 = sizexModality). For size==small, I have 2 observations per subject (Snr), for the other sizes only 1. I reckoned that aov (and underneath, lm) might handle this as it should, since the subjects are idendified, when I do > aov(

You could use cut. The key calculation would be: w <- .05; eps <- 1e-5 breakpoints <- seq(min(kk), max(kk), .05) breakpoints <- floor( (breakpoints + (w/2) + eps) / w) * w values <- cut(kk, c(breakpoints, Inf), right = FALSE) values <- ordered(values) If you don't like the labels produced add lab = breakpoints as a cut arg. On 11/10/05, RenE J.V. Bertin

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),