similar to: 3D spatial statistics

Dear List Members, I'm presently carrying out morphological analysis of a data set of neuronal structures. These are essentially 3D binary trees. In due course I will be trying to use discriminant analysis or other methods to classify these neurons based on morphological variables such as total tree length, segment number etc. I would like to calculate a 3D convex hull for a set of X,Y,Z

This seems to be a simple problem, and I feel that there ought to be a simple answer, but I can't seem to find it. I have a function that returns a number of values as a heterogeneous list - always the same length and same names(), but a number of different data types, including character. I want to apply it to many inputs, resulting in a list of lists. I would like to turn this list of

Dear Dr Hornik / R help list, I am using the mda package and in particular the fda routine to classify a set of 162 neurons falling in to 11 neuronal cell types according to 17 morphological variables. I would like to use a cross-validation approach in which I split the data, train with one part amd then test the predictive accuracy of the discriminant functions with the remaining part. However

Hello Laurent, Ray and Greg, I tried the gmake settings. Yet, I still got an Error code 1 message when I run the test. running regression tests don't know how to make ../library/base/R/base (bu42). *** Error code 1 (bu21) Thanks you if you have any idea. Manuel -----Message d'origine----- De : Laurent Gautier [ mailto:laurent at genome.cbs.dtu.dk <mailto:laurent at

Does anyone know of a R package that will determine the convex hull of a high-dimensional dataset (say 4-10 dimensions). I know chull works for 2D data. I'm neophyte to R and convex hulls so please keep it simple. Many thanks Ben -- Ben Stapley. Biomolecular Sciences, UMIST, PO Box 88, Manchester M60 1QD. Tel 0161 200 5818 Fax 0161 236 0409

Dear R contributors, I recently dowloaded the R-1.3.1 on my SGi Origin 200 run by Irix6.5. In order to instal it, I launched the command shown below: env MAKE=gmake ./configure The output was as follow:: R is now configured for mips-sgi-irix6.5 Source directory: . Installation directory: /usr/local C compiler: cc -OPT:IEEE_NaN_inf=ON -g C++ compiler:

Dear R People, I would like to smooth some 3d lines, which consist of line segments specified by start and end 3d coordinates. These are experimentally derived from microscope images of neurons, so there is no sense in which one axis is any different from any other (predictor vs response). I have tried doing repeated smoothing interpolation with smooth.splines (see below), but this doesn't

We need to know a great deal more information, and asking on R-devel would be a lot kinder than blaming this on a bug in R (and please use a meaningful subject line). What version of R is this? Precisely what OS (Solaris 9 comes for several architectures)? Assuming you compiled R yourself, what compilers did you use? (And where did you get those from if they are not Sun compilers?) If got a

Dear R Users, I have some data that is very similar in form to a 3D image - ie univariate data on a regular 3D grid. I keep this as a 3D numeric array in R with attributes describing the sampling points along the 3 dimensions. I would like to interpolate this onto a new regular 3D grid that I specify (eg by supplying 3 vectors corresponding to the new grid locations on each of the 3

Dear List, I have been trying to use library sm to do density estimation on a 3D dataset. I am using the current MacOS X binary of sm from CRAN. If I do this on a 2D dataset, sm.density returns a list including the component "estimate" which contains the density estimate over a uniform grid. When doing this with 3D data, although I get a nice plot (even when I don't ask for one),

On Thu, 30 May 2019, Dr Gregory Jefferis wrote: > Dear Colleagues, > > I would like to provide a CITATION file for my package nat.nblast [1]. > > I have the correct citation in BibTeX format [2]. How can I convert this > BibTeX to the format needed by R for a package CITATION file (I have a > lot of other packages needing citations ...). (1) You can use read.bib() from the

Full_Name: Liqun Xing Version: 2.6.2 OS: Solaris 9 Submission from: (NULL) (76.182.91.82) When first time launch X11(), it was fine. However, when closed the X11 windon by clicking the close button, or closed it off by command Dev.off() and launched the X11() again, got segfault, and asking for exiting R and other options.

Hello, Does anyone know of an R package that can read Windows BMP format images? Many thanks, Greg Jefferis. -- Gregory Jefferis, PhD Division of Neurobiology MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK. http://www2.mrc-lmb.cam.ac.uk/group-leaders/h-to-m/g-jefferis

Dear Colleagues, I would like to provide a CITATION file for my package nat.nblast [1]. I have the correct citation in BibTeX format [2]. How can I convert this BibTeX to the format needed by R for a package CITATION file (I have a lot of other packages needing citations ...). I think what I need is the opposite of RefManageR::toBiblatex [3]. This seems like it should be a common need, so I

If I have a list I can set a sub-element as follows on the command line: people=list() people$tom$hair="brown" people But what if I have a string containing the name of the sub-element that I want to access? subel= "people$tom$hair" get(subel) # returns error assign(subel,"red") # silent but doesn't change list people The attempts above using assign/get

Dear R developers, I would like to add a new S3 generic to override a function in a user package, specifically: STAR::as.repeatedTrain I have followed the recommendation here: http://cran.r-project.org/doc/manuals/R-exts.html#Adding-new-generics doing this: as.repeatedTrain<-function(x,...){ UseMethod("as.repeatedTrain") } as.repeatedTrain.default<-function(x,...) {

the details section of ?image says: > If useRaster is not specified, raster images are used when the > getOption("preferRaster") is true, the grid is regular and either > dev.capabilities("raster") is "yes" or it is "non-missing" and there > are no missing values. but in my experience this is never the case and

Hello, This is an odd one. My brother has installed iaxcomm on his notebook. He connects to the internet through a WiFi gateway (using DHCP). So, it's probably a one-way connection (and I think this may be part of the problem). Anyway, iaxcomm registers with the Asterisk server correctly and I see the period refresh of the positive authentication. He can receive calls fine. But,

Dear R Users, I want to test the dimensions of an incoming vector, matrix or array safely and succinctly. Specifically I want to check if the unknown object has exactly 2 dimensions with a specified number of rows and columns. I thought that the following would work: > obj=matrix(1,nrow=3,ncol=5) > identical( dim( obj) , c(3,5) ) [1] FALSE But it doesn't because c(3,5) is numeric

Dear R users, I would like to reverse the axes on some xy plots (for example to set the origin at the top left rather than the bottom left). I had planned to use something of the following form: plot(y=y<-c(20,4,5,6),x=x<-c(10,20,30,40),ylim=rev(range(y))) ie reversing ylim to reverse the y axis. This works fine however I also want to use the parameter asp=1 to ensure that equal