similar to: confusion about evaluation.

Hi Matt Your method is the easiest way for me to install the 64-bit R. I followed the directions on your web site and then did the following: R --arch=x86_64 source("http://bioconductor.org/biocLite.R") biocLite(type = "source",lib = "/Library/Frameworks/R.framework/Versions/2.8/Resources/RLib64") I got many errors and warnings which I copied to the attached file.

I'm trying to do the following: > setClass("MyNode", representation(parent = "MyNode")) [1] "MyNode" Warning message: undefined slot classes in definition of "MyNode": parent(class "MyNode") I scanned the docs, but found nothing. The representation function has no problem, it's the setClass function which gives the warning. What

I'm using external pointers and seemingly leaking memory. My determination of a memory leak is that the R process continually creeps up in memory as seen by top while the usage as reported by gc() stays flat. I have isolated the C code: void h5R_allocate_finalizer(SEXP eptr) { Rprintf("Calling the finalizer\n"); void* vector = R_ExternalPtrAddr(eptr); free(vector);

I installed R version 2.11.0 (2010-04-22) on may macbook (snow leopard) and run R from within emacs Now when I try to get help, I get > ?lm (in the new "help" window) Error in help("lm", htmlhelp = FALSE) : unused argument(s) (htmlhelp = FALSE) Help! p.s. I am running: This is GNU Emacs 22.2.50.1 (i386-apple-darwin9.4.0, Carbon Version 1.6.0) of 2008-07-17 on

I am writing an R package to interface to hdf5 files (yes I know one exists, the issue will be demonstrated using that package). I tend to like to build/install things locally so that aspects of the system I am working on don't cause problems later when attempting to install elsewhere. To this end, I build and install the hdf5 libraries w/out incident: tar xzf hdf5-1.8.4.tar.bz2 cd hdf5-1.8.4

Apologies if I am not understanding something about how things are being handled when using S4 methods, but I have been unable to find an answer to my problem for some time now. Briefly, I am associating the generic '[' with a class which I wrote (here: myExample). The underlying back-end allows me to read contiguous slabs, e.g., 1:10, but not c(1, 10). I want to shield the user from this

Hi All, I have a few small questions about the usage of the C findVar( ) function when used in C code called with '.Call'. In my case I create an R function with an argument. This function calls some C code in which I use findVar( ) to retrieve the values from the argument. Ofcourse normally I would just give the values as argument to .Call, but in my project I need to use findVar for

Hello, I have produced some segmented regressions with the segmented package by Viggo Mutteo. I have some example data and code below. I want to annotate the individual segments with the slope parameter (actually it would be nicer to annotate with 1000*slope and add some small amount of text as well). How can I do it? Reading the docs for segmented I can access all of the slope parameters via a

I think that this is an easy one... I have a matrix where each row is an (x,y,z) triplet. Given a potential (xnew,ynew,znew) triplet I want to know if the matrix already contains a row with the new values (the space already has that point). I can do it using a for loop, but I would like to know if there is anyway in which I can do it without the for loop. I do it now like this (this

Hi, f1 <- function(){ browser() print("aaa") } f2 <- function(){ a <- 12 eval(envir = parent.frame(), bquote({ b <- .(a) })) } Now do, f1() and enter n RET and then {1+2}: Browse[2]> {1 + 2} debug at #1: 1 + 2 Browse[3]> {} is now being debugged. This was never bothering me

This might fall under the purview of bundles, but I could not find any example bundles which demonstrated what I am after. I would like to construct two packages (A, B) which utilize a number of common C functions. The most straightforward way to do this is just copy the relevant .c and .h files from one src directory to the next, but this is tedious especially in the face of multiple

Hello, I have configured puppet and puppetdb (storeconfig) with postgresql and the service run and the collecting are good for example: I can make query with the next command and responds ok . [.........................] [root@master]# curl -X GET -H ''Accept: application/json'' http://127.0.0.1:8080/v2/facts --data-urlencode ''query=["=", "name",

I would like to return an empty list from a C function. This I would do as: if (file.exists()) { /* do something */ } else { SEXP empty_list; PROTECT(empty_list = NEW_LIST(0)); UNPROTECT(1); return empty_list; } The PROTECT, UNPROTECT lines seemed like overkill to me, but as far as I understood the documentation this seemed like the correct usage. It seems like I could

As part of a larger function I have code similar to the reduced example below. The user is instructed to choose a file, which gets read using read.csv. In this example, I just have the name of the file print out. When I call this function with choosefile(), the file dialog box appears before the first cat line is printed. After I choose a file, both cat lines are printed. choosefile

Hello, I am having an issue with R CMD check with the nightly build of RC 2.3.0 (listed in the subject.) The problem is this warning: * checking if this is a source package ... WARNING Subdirectory 'src' contains: README _Makefile These are unlikely file names for src files. In fact, they are not source files, but I do not see any reason why they cannot be there, or why I need to

After some struggling with the data format, non-standard in BioConductor, I have gotten cor.balance in package CORREP to work. My desire was to obtain maximum-likelihood p-values from the same data object using cor.LRtest, but it appears that this function wants something different, which I can't figure out from the documentation. Briefly, my dataset consists of 36 samples from 12

I have library in development with a function that works when called from the top level, but fails under R CMD check. The paricular line of failure is rsum <- rowSums(kmat>0) where kmat is a dsCMatrix object. I'm currently stumped and looking for some ideas. I've created a stripped down library "ktest" that has only 3 functions: pedigree.R to create a pedigree or

I am a newbie at rails and can''t figure out the following problem. Can anyone help? I am running the following: Ruby version 1.8.6 (powerpc-darwin9.4.0) RubyGems version 1.2.0 Rails version 2.1.0 Active Record version 2.1.0 Action Pack version 2.1.0 Active Resource version 2.1.0 Action Mailer version 2.1.0 Active Support version 2.1.0 I created three models using the:

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Hi everyone, I have 2 environments (2 different R sessions) as described below: Session 1: Name of the environment: "CrlmmInfo" Objects in the environment: index1: logical index - length 238304 index2: logical index - length 238304 priors: list of 4 - (matrix 6x6, 2 vectors of length 6, vector of length 2) - all num params: list of 4: centers [238304 x 3 x