similar to: as.double( factor(something) )??

Displaying 20 results from an estimated 20000 matches similar to: "as.double( factor(something) )??"

2005 Jan 17
2
bwplot: how not to draw outliers
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
2005 Jul 08
1
how to do something like symptoms==c('a', 'e', 'z')
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
2005 Feb 15
2
summary(aov(...)) into a string?
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
2004 Sep 17
1
controlling printing precision in paste()
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() >
2004 Oct 10
3
some help interpreting ANOVA results, please?
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
2004 Nov 18
4
Re: changing (core) function argument defaults?
>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,
2004 Nov 18
4
Re: changing (core) function argument defaults?
>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,
2002 Jul 09
3
portable snprintf implementation
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
2004 Oct 07
5
'with' usage question
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, > >
2004 Sep 16
1
linear regression: evaluating the result Q
On Thu, 16 Sep 2004, RenE J.V. Bertin wrote: > Dear all, > > A few quick questions about interpreting and evaluating the results of > linear regressions, to which I hope equally quick answers are possible. > > 1) The summary.lm method prints the R and R^2 correlation coefficients > (something reviewers like to see). It works on glm objects and (after > tweaking it to
2005 Jun 23
4
contrats hardcoded in aov()?
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") >
2003 Feb 27
2
multidimensional function fitting
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),
2002 Jun 17
1
overzealous help-links.sh script! (PR#1682)
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
2002 Oct 16
2
configure/build issue with gcc 3.2.0 (PR#2176)
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
2002 Oct 17
1
manova with Error?
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
2002 Jul 08
1
subset, once more
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
2004 Oct 07
1
Mac: importing saved PDF figures into Illustrator CS
Hello, This is a usage question for others with experience of R under the Aqua Mac OS X interface. Basically, I don't succeed in importing PDF files (created with the 'Save As' menu to Quartz device windows) into Illustrator. Versions up to (and including?) 10 loose paths (lines/polygons) and or fill them in black. Version CS (11) on the Mac imports almost correctly, but, "to
2002 Jun 10
2
Crashing R (PR#1651)
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
2004 Sep 17
2
lattice: bwplot and panel.lmline()
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
2002 Jun 19
4
levels() counter-intuitif? (PR#1693)
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