similar to: simplify this instruction

Dear R users, Here is my problem: I have an array with at least four dimensions: > dim(myArray) [1] 20 17 3 6 I'd like to apply a function to each occurrence of the matrix (3x6) defined by the last two dimensions. This interpolation function always return a matrix of the same dimensions as its argument: > interpSecteurs.f(myArray[1, 1, , ]) secteur rotation 1 2 3

sorry, I forgot my sessionInfo: please see below. -------- Original Message -------- Subject: puzzled with plotmath Date: Thu, 20 Jan 2011 12:48:18 +0100 From: Claudia Beleites <cbeleites at units.it> To: R Help <r-help at r-project.org> Dear all, I'm puzzled with matrix indices in plotmath. I'm plotting matrix elements: Z [i, i], and I'd like to put that as label.

I'm attempting to sort a 3 dimensional array that looks like this > x , , 1 [,1] [,2] [1,] 9 9 [2,] 7 9 , , 2 [,1] [,2] [1,] 6 5 [2,] 4 6 , , 3 [,1] [,2] [1,] 2 1 [2,] 3 2 Such that it ends up like this .... > y , , 1 [,1] [,2] [1,] 2 1 [2,] 3 2 , , 2 [,1] [,2] [1,] 6 5 [2,] 4 6 , , 3 [,1] [,2]

Dear Group, I am looking for ways to use R and Matlab. Doing the data transformations in R and using the data in Matlab to analyze with some pre-defined scripts. Any good ways to transfer the data into matlab in its most recent version? I tried using R.matlab but the writeMat output is not readable by Matlab. I just need to output a data.frame and read it as is into matlab where I can do any

Dear List, I'm struggling with the signature writing cbind/rbind functions for a S4 class. First of all, I'm very happy that it is now possible to dispatch on ... I follow the example for "paste" in ?dotMethods, which works as far as this: ### start example setClass ("cbtest", representation = representation (data = "data.frame"),

Hi, I have the following question about creating data frames. I want to create a data frame with 2 components: a vector and a matrix. Let me use a simple example: y <- rnorm(10) x <- matrix(rnorm(150), nrow=10) Now if I do dd <- data.frame(x=x, y=y) I get a data frame with 16 colums, but if, according to the documentation, I do dd <- data.frame(x=I(x), y=y) then str(dd)

Dear all, I work with (vibrational) spectra: some kind of intensity (I) over frequency (nu), wavelength or the like. I want to do fourier transform for interpolation, smoothing, etc. My problem is that the spectra are often irregularly spaced in nu: the difference between 2 neighbouring nu varies across the spectrum, and data points may be missing. Searching for discrete fourier transform

Dear all, I just noticed, that prompt () looses backticks that protect default arguments: f <- function (FUN = `*`) {} cat (prompt (f, NA)$usage) yields: \usage{ f(FUN = *) } %- maybe also 'usage' for other objects documented here. without the backticks, which is of course found by R CMD check as syntax error. While this is easily fixed if the .Rd is further edited manually, I

Dear List, a second, more general, question concerning S4 classes. I have a bunch of functions/methods for my class. At the moment I have them as methods, because they work on objects of my S4 class and therefore "belong" to that class. On the other hand, it is comparably unlikely that someone else wants the same kind of method. And package.skeleton () produces the

Dear R-Developers, could 'sample' gain a ... argument? As a convenience function, I added a sample Method to my hyperSpec class. This function however has a flag indicating whether the results should be returned directly as a hyperSpec object or rather as indices that give a random sample. For the moment, I use SetGeneric to add the dots argument, but this of course gives a warning

HI, Dear R community, My data set has 2409 variables, the last one is response variable. I have used the nnet after feature selection and works. But this time, I am using nnet to fit a model without feature selection. I got the following error information: > dim(train) [1] 1827 2409 nnet.fit<-nnet(as.factor(out) ~ ., data=train, size=3, rang=0.3, decay=5e-4, maxit=500) # model

Dear all, I have run into a problem when running some code implemented in the Bioconductor panp-package (applied to my own expression data), whereby gene expression values of known true negative probesets (x) are interpolated onto present/absent p-values (y) between 0 and 1 using the *approxfun - function*{stats}; when I have used R version 2.8, everything had worked fine, however, after updating

Dear list, I'm stuck with looking for a function of the *apply family, which I suppose exists already ? just I can't find it: What I'm looking for is somewhere between sweep and mapply that does a calculation vectorized over a matrix and a vector: It should work complementary to sweep: for each row of the matrix, a different value of the vector should be handed over. Close to

Hello. I have an instrument, actually a step motor indexer that I want to drive from R. It uses an RS-232 connection. I already have a few C subroutines that I access from R but I would like to be able use R's connection related functions - readLines, writeLines, cat, read.table, etc - directly. Does any one have any suggestions on how a I should proceed to create a new connection type? Is it

Hi R, m=data.frame(a=c(1,NA,5,5),b=c(4,5,6,7),c=c(NA,NA,NA,5)) I want to know the methods of getting row and column positions of NA in the above dataframe. How do I do this? Thanks, Shubha This e-mail may contain confidential and/or privileged i...{{dropped:13}}

Is there a way to modify the dots-argument? Let's consider I have a function that passes on its ... arguments to another function. For some reason I know, that some elements in ... will cause problems. Can I modify the ... structure somehow, e.g. delete elements? foo <- function(...){ innerFoo <- function(...){ } AT THIS POINT I WANT TO MODIFY THE CONTENT OF ... BEFORE IT IS

HI, Dear R community, I want to know how to select the optimal decision threshold from the ROC curve? At what threshold will give the highest accuracy? Thanks! -- Sincerely, Changbin -- [[alternative HTML version deleted]]

Hello everyone, when I commit a plot using console(command line?) plot works fine. I have created a function that plots based on the input. This function is called plot_shad. When I call this function alone in the command line I get my plot. Then I tried to use another function as depicted_below to do some calculation before calling the function that does the plotting.

i'm sorry to bother but... sometimes theres an attachment in the posts on the list, a single file called: Teil 1.2 whys that? i dont want to open it to find out, as i have used computers before ;) therefore i suspect it to be either some security problem OR to be the alternative HTML version that is claimed to have been deleted. any light-shedding would be appreciated!

I have found following problem: I have a vector: > a <- c(1.04,1.04,1.05,1.04,1.04) I want a mean of this vector: > mean(a) [1] 1.042 which is correct, but: > mean(1.04,1.04,1.05,1.04,1.04) [1] 1.04 gives an incorrect value. how is this possible? thanks, zbynek -- View this message in context: http://r.789695.n4.nabble.com/Incorrectness-of-mean-tp3327701p3327701.html Sent from the R