similar to: Reloading java classes with rJava

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

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 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 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 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),

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 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

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

Hello, I have a binary file type that includes a zlib compressed data block (ie not gzip). Is anyone aware of a way using base R or a CRAN package to decompress this kind of data (from disk or memory). So far I have found Rcompression::decompress on omegahat, but I would prefer to keep dependencies on CRAN (or bioconductor). I am also trying to avoid writing yet another C level interface to

Dear R-devel, Can anyone help me to understand this? It seems that subscripting the rows of a data.frame without actually changing their order, somehow changes an internal representation of row.names that is revealed by e.g. dput/dump/serialize I have read the docs and inspected the (R) code for data.frame, rownames, row.names and dput without enlightenment. df=data.frame(a=1:10, b=1)

Hi All, I need to place lists or vectors within dataframes as single elements. However when I try this: df=data.frame(y=1, x=I(list(c("a","b"), c("f","c"), c("a")))) df df[1,'x']=I(c("a","d")) I get this error, even though I am using I(): Error in `[<-.data.frame`(`*tmp*`, 1, "x", value =

Hi all, We are facing a problem while introducing ourselves to Reshape package use. Melt seems to work fine, but cast fails when we use mean as fun.aggregate. As you see here, length and sum work fine, but mean throws this same error whatever dataset we use. > cast(aqm, month ~ variable, length) month ozone solar.r wind temp 1 5 26 27 31 31 2 6 9 30 30

Hi there, I want to install locfit in R for Windows NT. I have recently downloaded the file locfit.zip from http://www.ci.tuwien.ac.at/R/bin/windows/windows-NT/contrib/ but it doesn't include any explanation on how to do the installation. Have anybody done this? If so I'd really appreciate your help. Cheers, Oscar -- ------------------------------------------------------- Oscar

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

Dear helpful person, I have been trying to download package car from the CRAN website using the install.packages command from within R. I have successfully used this command to install other packages but can't make it work for car. When I try I get the following messages: trying URL `http://cran.uk.r-project.org//bin/windows/contrib/PACKAGES' Content type `text/plain' length 5677

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

One occurence of 'packbits' should be 'packBits' (version information below): Index: src/library/base/man/rawConversion.Rd =================================================================== --- src/library/base/man/rawConversion.Rd (revision 55) +++ src/library/base/man/rawConversion.Rd (working copy) @@ -41,7 +41,7 @@ of 32 times the length of an integer vector with

Dear R community, Since upgrading to R v.2.6.1 and re-installing package Hmisc (binary for Mac OS X v.3.4-3), I have been getting a error when trying to make xYplots: >plotcv<-c(34.88, 41.51, 45.81, 51.05, 51.66) >plotcv.se<-c(2.406551, 3.071291, 4.331407, 3.213873, 4.838150) >month<-c(6, 7, 8, 9, 10) >library(Hmisc) >xYplot(Cbind(plotcv, plotcv + plotcv.se,

The first four lines of code below work as normal. The fifth thorows an error: "Error in paste(theta[1], "=", 5) : object "theta" not found" x=rnorm(1000); bob=density(x); topp=5; plot(bob,xlab="", ylab="", main=substitute(paste(theta[1],"=",topp),list(topp=topp)), type="l"); plot(bob$y~bob$x,xlab="",