similar to: Fourier Transform with irregularly spaced x

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.

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 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"),

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

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

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

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 just stumbled over the fact that subsetting by square bracket will only output the first given index. I guess the rest is thrown away by the CADDR in RenderSub (plotmath.c l. 1399). Maybe changing this could be considered as "low-priority desired" (would be nice if the output works for ? However, I suggest to announce the fact that only the first parameter is printed in

---------- Weitergeleitete Nachricht ---------- Betreff: Re: [R] The end of Matlab Datum: Freitag 12 Dezember 2008 Von: Claudia Beleites <cbeleites at units.it> An: r-help at r-project.org Am Freitag 12 Dezember 2008 13:10:20 schrieb Patrick Burns: > How about: > > x[, -seq(to=ncol(x), length=n)] Doing it is not my problem. I just agree with Mike in that I would like if I could

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 all, I have trouble with R-beta sweaving files that include definitions with \SweaveInput in combination with keep.source = TRUE Symptom: SInput is taken from too far down the input file (the shift is the number of lines of the included file). Is that known? Searching didn't turn up anything, yet I think there are more people than just me using keep.source. Example: $

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 recently stumbled over the possibility and need to specifiy % \VignetteDepends{} in my vignettes. I did not know about this, and I notice that it is not mentioned in the R-extensions manual section "Writing package vignettes". I have some questions with regards to that: - would it be possible to include into the section "Writing package vignettes" some hint

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]]

Dear all, I just spent quite a while fixing a weird error in my vignettes while doing R CMD build and R CMD check R CMD Sweave ran fine, though. The cause turned out to be: 1. I have a data set flu, 2. and a corresponding vignette explaining things one can do with that object. This vignette creates another object flu (which masks the packages one). 3. Now when the next vignette is

Dear list, dear Henrik, I find myself often reconstructing matrices from the result of rowSum (matrix) etc. I therefore propose a new argument, drop, for these functions: drop = TRUE (default) is the current behaviour. With drop = FALSE length (dim (x)) and dimnames are preserved and the affected dimensions are set to 1 (or whatever teh result length of the applied function is) I modified the

Dear list, I have a matrix, spc, that should row-wise be interpolated: E.g. spc <- matrix (1:1e6, ncol = 250, nrow = 4000, byrow = TRUE) spc [1:10, 1:10] shifts <- seq_len (nrow (spc)) wl <- seq_len (ncol (spc)) interpolate <- function (spc.row, shift, wl) spline (wl + shift, spc.row, xout = wl, method = "natural")$y interpolate (spc [1,], shift = shifts [1], wl = wl)