similar to: Sending "..." to a C external

Full_Name: Glen Herrmannsfeldt Version: 2.2.1 OS: Linux Submission from: (NULL) (128.95.113.77) Following the discussion in "Writing R Extensions" in section 5.8.2, there is no indication that showArgs expects a pairlist() instead of a list(). I was trying .Call("showArgs",list(one=1,two=2,three=3)) for example, and getting many core dumps. It wasn't until reading

R developers, Last week I asked several questions which I think I can now answer myself in large part. > > Q 1) Is aov supposed to avoid qr decomposition and matrix inversion? > In S it is claimed to be faster than lm() for large datasets. Is > that due to avoidance of qr()? > (My main goal is to get the Error strata working.) My use of matrix

Full_Name: Guy W. Tillinghast Version: 2.8.0 OS: Windows XP professional Submission from: (NULL) (24.248.24.3) I am encountering difficulty asking R to manipulate the correct columns in Expression Set class (object 4). I download the ALL data with: library(golubEsets) data(Golub_Merge) Note, the data has the samples not in order. This is not R's fault (at least not that I can tell): >

Hi R users: I try this code, where "fun" is a parameter of a random generating function name, and I pretend to use "..." parameter to pass the parameters of different random generating functions. What am I doing wrong? f1<-function(nsim=20,n=10,fun=rnorm,...){ vp<-replicate(nsim,t.test(fun(n,...),fun(n,...))$p.value) return(vp) } This works! f1()

Hi, I'm updating the LMGene package from Bioconductor. "Writing R Extensions" suggests that all source files (the ones in the R directory) have a .R ending, so I added it to the (one) source file. The next time I installed and ran R, R didn't understand any of the functions. I tried various things and eventually went back to the file and dropped the .R ending, installed, ran R.

I added "plogis" to the derivative table in the development version of R; the patch against yesterday's R-devel src/deriv/main.c is available at http://www.zoology.ufl.edu/bolker/deriv_patch.txt . I pretty much followed the framework of the other symbols; here was my incantation - } else if (CAR(expr) == PlogisSymbol) { - ans = simplify(TimesSymbol, -

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Hi, I'm running some routines with standard matrix operations like solve() and diag(). When I do a profile, the lead item under total time is standardGeneric(). Furthermore, solve() and diag() have much greater total time than self time. ??? I assume there is some time-consuming decision going on in the usual functions; is there any way to avoid that and go straight to the calculaions? Thanks

I changed the path to include C:\Program Files\R\R-2.3.1\bin, but Rcmd check [package] just returns an error: 'Rcmd' is not recognized as an internal or external command, operable program or batch file. Any ideas? I want to be able to compile this package on Windows. [[alternative HTML version deleted]]

Hi, everyone! I have maybe very naive question, but nontheless. I'm experimenting with Kaleidoscope tutorial and I want to morph it into something similar to McCarthy's initial Lisp. For that, I need to implement symbols, which I thought I should implement as pointers to structures, and those structures would contain at least one field, which would be symbol's name. So, here's a

I'm solving the differential equation dy/dx = xy-1 with y(0) = sqrt(pi/2). This can be used in computing the tail of the normal distribution. (The actual solution is y(x) = exp(x^2/2) * Integral_x_inf {exp(-t^2/2) dt} = Integral_0_inf {exp (-xt - t^2/2) dt}. For large x, y ~ 1/x, starting around x~2.) I'm testing both lsoda and rk4 from the package odesolve. rk4 is accurate using step

x <- rnorm(1e6); y <- log(x); # or logb(x) or log1p(x) w <- warnings(); print(object.size(w)); ## [1] 480 str(w); $ NaNs produced: language log(x) - attr(*, "dots")= list() - attr(*, "class")= chr "warnings" y <- log2(x); # or log10(x) w <- warnings(); print(object.size(w)); ## [1] 8000536 str(w); ## List of 1 ## $ NaNs produced: language

R community, As you may know, R's iconv doesn't work well converting to and from encodings that allow embedded nulls. For example > iconv("foo", to="UTF-16") Error in iconv("foo", to = "UTF-16") : embedded nul in string: '\xff\xfef\0o\0o\0' However, I don't believe embedded nulls are at issue here, but rather that R's iconv

This is a trivial example I set up to see if I could pass an environment and use the variables in it (this is for a function that will be called many times and might need to use a lot of variables that won't be changing, so it seemed more sensible to use an environment). Here's the code: ######################### #The outer function run.internal.env <- function(x) { in.env <-

I would like to see how the matrix multiplication operator %*% is implemented (because I want to see which external Fortran/C routines are used). How can I do so? Best S??ren

Hi All, I am trying to write a source-to-source compiler for R. I am trying to leverage the R parser code for the purpose. I am trying to transform the SEXP returned from the parser into an AST for our own Ruby embedded Domain specific language. I tried using R CMD SHBIN to compile a C function that parses arbitrary R expressions. But I think, the generated .so file can be used from within R and

Hi Lisp users, I'm a user of both Common Lisp and R (GNU R). I found R has a rich collection of statistical and numerical computation functions, while it is not as extensible as Lisp (Common Lisp). I considered Lisp-Stat but its only implementation is not in the usuall Common Lisp, and the available functions in CRAN are far richer than Lisp-Stat currently has. I want to know if there is

For some reason the mail didn't got through the first time, so sending it again. -------- Original Message -------- Subject: code-generating constant strings Date: Tue, 03 Dec 2013 01:56:11 +0100 From: Alexander Popolitov <popolit at gmail.com> To: llvmdev at cs.uiuc.edu. Hi, everyone! I have maybe very naive question, but nontheless. I'm experimenting with Kaleidoscope

Hi, I've read ?is.unsorted and searched. Have found a few items but nothing close, yet. Is the following expected? > is.unsorted(data.frame(1:2)) [1] FALSE > is.unsorted(data.frame(2:1)) [1] FALSE > is.unsorted(data.frame(1:2,3:4)) [1] TRUE > is.unsorted(data.frame(2:1,4:3)) [1] TRUE IIUC, is.unsorted is intended for atomic vectors only (description of x in ?is.unsorted). Indeed

I have written some programs in Common Lisp and I have been using SAS to pipe those programs to my lisp compiler in batch mode by using the %xlog and %xlst SAS commands. I wonder if there is in R a similar way to pipe commands to LISP so that all my work would be concentrated in R even when I have to call a LISP program? I have looked at the foreign library but this seems to adjust data types not