similar to: DRUtils package

I am curious if there is code developed to plot confidence regions in 3D. The scatterplot3d function generates the plot I want, but would like an 3D equivalent to the data.ellipse function. Any help in this direction would be appreciated, be it theoretical, graphical, or otherwise. Melanie Edwards Senior Statistician Exponent 15375 SE 30th PL, Suite 250 Bellevue, WA 98007 Tel: (425) 519-8714

Hi All, Ok, just for the matter of providing feedback that may be useful for others, I figured out one way to do it based on the setup that I described earlier. It can be something like this git checkout patchbranch # checkout to the patch branch, this is the one containing the differential patch code git checkout -b tmp # checkout to a new tmp branch git reset —soft master

Dear R Help Members, I need to draw a pie chart for someone and there are 3 small slices in it identifying different species, all 0.7%, who’s labels overlap so you cannot read them. Is there a way to have only 1 label the three slices, so as to merge the three labels into one without merging the 3 slices? Alternatively, is there a way to extend the pointing lines, so that they could be different

Hi, I'm having trouble with the "which" or the "seq" function, I'm not sure. Here's an example : > lat=seq(1,2,by=0.1) > lat [1] 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 > which(lat==1) [1] 1 > which(lat==1.1) [1] 2 > which(lat==1.2) [1] 3 > which(lat==1.3) [1] 4 > which(lat==1.4) [1] 5 > which(lat==1.5) [1] 6 >

Dear all, Which options should I use when running the configure script and/or which changes should I make to Makeconf to build the binary for R-1.9.0 but using only statically linked libraries ? I need to build a binary that is portable between several different Linux (RedHat) distributions. Thanks in advance for your help, Melanie -- http://recherche-en-danger.apinc.org

I was wondering if anyone has developed (or is developing) an implementation for gravity models (spatial interaction) in R. I conducted several searches on the CRAN website with no luck. Currently I am estimating parameters via linearization. Thank you in advance Melanie Murphy [[alternative HTML version deleted]]

Hi I apologise for this question as it really must be a FAQ. Unfortunately, I can't find the answer and I'm tired of looking at endless google results A colleague of mine works for a state government department that has a policy against open source software or software tainted by open source. Other government departments in the same state use R but this particular department is driven

I have successfully used XEmacs on my home PC for several months. On 8/25/04 I downloaded R version 1.9.1 (rw1091) from one of the R mirror sites, XEmacs installer (setup.exe) from <http://www.xemacs.org/Download/win32/>, and Jim Fox's latest configuration files (fox-ess-config.zip) from <http://socserv.socsci.mcmaster.ca/jfox/Books/Companion/ESS/> to my Dell laptop, which is

On Tuesday 02 December 2003 20:43, Melanie wrote: > Hi, > > I've split it into three patches now and also made it fit to current CVS, > with, I believe, Karl's changes for the double free bug. > > Order for the patches is: > > icecast-multilevel-fallback.patch > icecast-timewindow.patch > icecast-yp-override.patch > > As for docs: How? What format? Any

Hi All, My question is in regards to an error generated when using randomForest in R. Is there a special way to format the data in order to avoid this error, or am I completely confused on what the error implies? "Error in randomForest.default(m, y, ...) : Can not handle categorical predictors with more than 32 categories." This is generated from the command line: >

About ftrapping-math: I think we should eliminate ftrapping-math, a boolean option, because it overlaps with ffp-exception-behavior, a 3 valued option. Or we can keep it in the clang driver for compatibility, but it should be rewritten by clang driver into ffp-exception-behavior=ignore and ffp-exception-behavior=strict. There are various fields in llvm and/or clang that maintain Boolean

On Mon, 2003-12-01 at 08:28, Melanie wrote: > > diff -b -B -r -u -P --exclude-from=ignore ../icecast/src/source.c > ./src/source.c > --- ../icecast/src/source.c Fri Nov 14 17:51:59 2003 > +++ ./src/source.c Mon Dec 1 09:14:34 2003 > @@ -139,7 +192,6 @@ > #endif > > free(source->mount); > - free(source->fallback_mount); >

Dear all, I would like to solve a trivial problem (I guess it is) but can't find the right way. Maybe someone can help me ? I've got a table with two factors (station = station ID, buffer = buffer size in meters) and a value for each unique combination of those two factors (S = number of habitats within each buffer around each station) like this: TABLE 1 station buffer S Abaia01 200 2

On Tuesday 02 December 2003 01:23, Melanie wrote: > Hello, > > this is the first patch, it implements some basic multilevel fallback > handling logic, the time window and the no mount option. > > New options are possible within an <mount> section: > > <fallback-override>1</fallback-override> > > This will allow a source connecting to a mount point to

Dear R Help Members, I am aware how to plot the LD1 vs LD2 from a lda in R, using the code: plot(baseline.systat.hat$x, col=baseline.systat.hat$class,pch=as.numeric(baseline.systat.hat$class)) However, I need to use the quadratic discriminant function, qda due to data properties. Is there a way to obtain the same sort of plot for from a qda object (and the output of predict qda). I have not

In R, I'm imported a data frame of 2,321,123 by 4 called "dataF". I converted the data frame "dataF" to a matrix dataM <- as.matrix(dataF) Does R have an efficient routine to treat the special elements that contain "inf" in them. For example, can you separate the rows that have "inf" elements from the matrix into a separate matrix without

I am curious whether anybody has or is developing this capability within R. I have not found any software yet that has this capability and I am not sure whether it is too new a method and nobody is actually using it, or if there are other means to get the same analysis that I do not know of. Any information regarding developments or use of this method would be helpful. Melanie Edwards

Hi, I am relatively new to R and have a question regarding code. I have a data set which has data organised by location (site names, which are factors). I now want to add a new variable Region (this will be non numerical, as it will be names). Each region will contain locations. So for example: Region: WestCoast Locations in Region WestCoast: Tralee, Carradale and so on... So each Region will

Hello, I have a problem with icecast a have a source+ a fallback source when source disconnect after a network interruption, all lilsteners are transfered to the fallback source but then, a few seconds later, source come back and didn't get back its previous listeners. Is there a way to have this behaviour : source disconnect => listeners transfered to fallback source reconnects =>

Hi, I have a data.frame with 100 variables and I have assigned a "label", "units" and "category" attribute to each variable. I would like to reorder the variables in the data.frame by the "category" attributes but can't find a way. For example, the first variable is: > attributes(hh$aez) $levels [1] "coastal" "forest"