similar to: random seed puzzle

Does anyone know how to use the equivalent of debug() on an S4 method? I would like R to enter the browser not for the generic function, but for the method of the class that I specify. Thanks, David _____________________________ David Bickel http://davidbickel.com Research Scientist Pioneer Hi-Bred International Bioinformatics & Exploratory Research 7250 NW 62nd Ave., PO Box 552 Johnston,

Given a numeric vector of observations, does R have any generic way to estimate the parameters of commonly used distributions (exponential, gamma, etc.) without numerically optimizing the likelihood function? Thanks, David _______________________________________ David R. Bickel http://davidbickel.com Research Scientist Pioneer Hi-Bred International Bioinformatics & Exploratory Research 7250

Is there a function that provides the Fisher information matrix for a generalized linear model? I do not see how to access the off-diagonal matrix elements of the value returned by glm. (I'm particularly interested in logistic regression.) If not, what is a good way to use R to compute Hessians or other partial derivatives of log likelihoods? I would appreciate any guidance. David

Is there a way I can get R to automatically enter the browser inside a user-defined function on the generation of an error? Specifically, I'm trying to debug this: Error in as.double.default(sapply(lis, FUN)) : (list) object cannot be coerced to double In addition: There were 38 warnings (use warnings() to see them) > traceback() 8: as.double.default(sapply(lis, FUN)) 7:

Is there any R function that computes the convolution of the double exponential distribution? If not, is there a good way to integrate ((q+x)^n)*exp(-2x) over x from 0 to Inf for any value of q and for any positive integer n? I need to perform the integration within a function with q and n as arguments. The function integrate() is giving me this message: "evaluation of function gave a

Is there a way I can have R automatically execute the commands in a source file without ever having to use R interactively? If so, what arguments should I pass to the UNIX call to R? I need to do this to run several R jobs in parallel. An alternative may be to have R and an R package behave as a stand-alone application that can be called from the UNIX command line. Is there any documentation on

Is there a way to call an R function to work in the background within the same R session? What I have in mind is the equivalent of adding '&' at the end of a UNIX command, so that R can process an intensive command while I execute other R commands. I want to do this in the same R session, rather than with multiple calls to R, so that all my modified objects will stay in the same

Is there any R function that can display a Postscript file that is already in the working directory? For example, if 'graph.ps' is such a file, I'd like to type something like this: > plot.postscript.file(file = 'graph.ps') If no such function exists, I'd be interested in a way to use existing R functions to do this under UNIX or Windows, preferably without a system

Are there any R functions or packages that can compute distributions, expectations, or quantiles of order statistics (or sample quantiles or extreme values) for a given distribution such as a normal distribution? Both exact and asymptotic calculations are of interest. I am already aware of the 'quantile' function of 'stats'. David _______________________________________ David R.

R never gave me any serious problems until I tried to use it on Windows XP. I had 1.8.1 installed and working successfully for a few weeks. This morning when I launched it, I received this error message: "R for Windows GUI front-end has encountered a problem and needs to close. We are sorry for the inconvenience." I downloaded 1.9.0 and installed it, but when I launch it, I get this

I'm not sure this list is the right place for this thing. I noticed some erratic behaviour in sammon(). Running sammon on two nearly identical sets of data results in very different results. Below is an example. I create an initial configuration with cmdscale() and store it into 'vec1'. I write this to file, and read it back in again to 'vec2'. According to cor() on the three

Dear all, It was a pleasure to meet you at Iowa State University. Two days ago I submitted two experimental packages to CRAN (hope it will be there soon): rindex: quick indexing of large objects (currently only character, see ?index) regtest: some first support for automated regression testing (heavily used in \dontshow{} section of ?index) With rindex you can for example i <-

This can be vectorized. Try ix <- seq_along(vec2) S_diff2 <- sapply(seq_len(N1-(N2-1)*ratio_sampling), \(j) sum((vec1[(ix-1)*ratio_sampling+j] - vec2[ix])**2)) On Sun, Jun 16, 2024 at 11:27?AM Laurent Rhelp <laurentRHelp at free.fr> wrote: > > Dear RHelp-list, > > I try to use the package comprehenr to replace a for loop by a list > comprehension. > > I

Dear R-helpers: I have a question related to using do.call to call cbind and get. #the following works vec1 <- c(1,2) vec2 <- c(3,4) ColNameVec <- c('vec1','vec2') mat <- do.call("cbind",lapply(ColNameVec,get)) mat #put code above into a function then it does not work #before doing so, first remove vec1 and vec2 from global environment rm(vec1,vec2) test

Hello. Sorry I am not sure this question should go to llvm or mesa3d-dev mailing list, so I post it to both. I am writing a llvm backend for a modern graphics processor which has a ISA very similar to that of Direct 3D. I am reading the code in Gallium-3D driver in a mesa3d branch, which converts the shader programs (TGSI tokens) to LLVM IR. For the shader instruction also found in LLVM IR,

I would be more strong on this advice: learn to think in R, rather than thinking in Python, when programming in R. R has atomic vectors... Python does not (until you import a package that implements them). I find that while it is possible to import R thinking into Python, Python programmers seem to object for stylistic reasons even though such thinking speeds up Python also. A key step in that

There seems to be an issue in computing rank correlations with missing values present. I think this comes from the way rank() function works but I am not sure how to go about this. Rank function places missing values at the end by default thus skewing the rank relationship between two vectors: Example: R : Copyright 2003, The R Foundation for Statistical Computing Version 1.8.1 (2003-11-21),

Dear RHelp-list, ?? I try to use the package comprehenr to replace a for loop by a list comprehension. ?I wrote the code but I certainly miss something because it is very slower compared to the for loops. May you please explain to me why the list comprehension is slower in my case. Here is my example. I do the calculation of the square difference between the values of two vectors vec1 and

Hello, I'm using the eclat function of the arules package (1.0-6) for the identification of frequent itemsets. I need the tidLists, but if I set in the function tidLists=TRUE R crashes (Windows XP Professional SP3, 32 bit, R version 2.12.1 (2010-12-16), reproducible on two different computers) with two different error messages or non at all. Minimum examples are: library(arules)

I fully agree with Jeff that the best way to use ANY language is to evaluate the language in terms of not just the capabilities it offers but also the philosophy behind what it was created for and how people do things and just grok it and use it mostly in the way intended. I do that with all the languages I learn, whether for computers or humans. Bringing in something you like from another