similar to: Should numeric()/character() etc initialize with NA instead of 0 or ""?

I'm wrapping a function in R and I want to record all the arguments passed to it, including default values and missing values. I want to be able to snoop on function calls in sourced scripts as part of a unit testing framework. I can capture the values fine, but I'm having trouble evaluating them as if `force()` had been applied to each of them. Here is a minimal example: f0 <-

Hi folk, I'm writing a set of small C code to verify whether my pass handle some instruction correctly. One of the instruction I want to test is "va_arg", but compiling my variadic function does not generate any va_arg instruction. Is va_arg deprecated? Will va_arg instruction ever be generated by any front-end? The source code and llvm instructions are appended as follows. the

Neal, FYI, my group has added a flag to llvm-gcc for emitting the va_arg instruction (instead of lowering in the front-end), and we also have an implementation of the VAARG instruction for X86-64. (which is currently not implemented in the LLVM backend). Both of these things will be sent upstream to LLVM soon, pending some more testing and review. If you are dire need of these features now, I

I noticed i had mail_location wrong, i was specifying INDEX=/dovecot-index instead of INDEX=~/dovecot-index so i modifed and restarted dovecot, one of my techs that happens to have thousands of emails reopened her mail and this showed up in the log. Not sure if this is critical or if more info/dovecot -n is needed dovecot: 2009-05-05 14:06:38 Panic: imap <REMOVED>: file mail-search.c: line

Hello Everyone, I am trying to create two modules in LLVM, where first module contains the definition of a function, gcd in this example and another module contains a call to this function. My example is based on the following tutorial, with a few changes. http://llvm.org/releases/2.6/docs/tutorial/JITTutorial2.html When I execute the verifier pass on my modules, it complains that the

Hi all, I want to implement the Xor random canary, so I have to get the return address in the prologue and epilogue of the function. In the prologue of the function, before I insert into the canary on the stack, I can get the return address by: ConstantInt* ci = llvm::ConstantInt::get(Type::getInt32Ty(RI->getContext()), 0); Value* Args1[] = {ci}; CallInst* callInst =

Dear All I'm making an instrumentation pass. The pass is supposed to modify the given IR in a specefic way. One of the required modifications is to insert a call to a function at a specific location. This is the signature of the called function: void myclass::foo(Function *f, BasicBlock* b) This function's prototype is in an foofile.h file in include/llvm And the function

Hello, On Mac OS X, certain Aqua/Quartz UI functionality requires an application to be launched from within an app bundle, or (alternatively) requires a Carbon application with a resource fork. Playing with the wxWidgets distribution, I discovered that it is quite easy and transparent to make such a Carbon app from (I guess) any command line application. When applied to the R executable called

Hello, On Mac OS X, certain Aqua/Quartz UI functionality requires an application to be launched from within an app bundle, or (alternatively) requires a Carbon application with a resource fork. Playing with the wxWidgets distribution, I discovered that it is quite easy and transparent to make such a Carbon app from (I guess) any command line application. When applied to the R executable called

Hi All: Let's say I have two dataframes (Condition1 and Condition2); each being on the order of 12,000 and 16,000 rows; 1 column. The entries contain dates. I'd like to calculate, for each possible pair of dates (that is: Condition1[1:10,000] and Condition2[1:10,000], the number of days difference between the dates in the pair. The result should be a matrix 12,000 by 16,000. Really,

Dear R Experts, I am attempting to run a mixed effects model on a within-subjects repeated measures design, but I am unsure if I am doing it properly. I was hoping that someone would be able to offer some guidance. There are 5 independent variables (subject, condition, difficulty, repetition) and 1 dependent measure (value). Condition and difficulty are fixed effects and have 3 levels each

I spent some time on this simple question, also searched the forum, eventually hacked my way to an ugly solution for my particular problem but I would like to improve my coding: I have data of the form: df <- expand.grid(group=c('copper', 'zinc', 'aluminum', 'nickel'), condition1=c(1:4)) I would like to add a new data column "condition2", with values

Dear list members, I want to perform in R the analysis "simultaneous confidence interval for multiple proportions", as illustrated in the article of Agresti et al. (2008) "Simultaneous confidence intervals for comparing binomial parameter", Biometrics 64, 1270-1275. If I am not wrong the R function implementing the Agresti et al. method is prop.test(). I ask an help because I

Hi, I am performing experiments in the field of visual perception where we often apply balanced designs. Within a group of normal subjects, we vary different stimulus conditions (like contrast, luminance, temporal frequency of stimulation) and derive some psychophysical or electrophysiological results from our subjects. Often, the main question is to test the effect of these parameters

Dear all, I'm routinely using lattice and ggplot2, I wish to create a lattice theme that looks not too dissimilar to ggplot's defaults so I can include both graphs in a document with a consistent look. To illustrate my questions, consider the following example: > library(ggplot2) > library(lattice) > > # example data > x <- seq(0, 10, len = 100) > y1 <-

Hello everyone, I bring to discussion the necessity/design of a new type of smart pointer. r215176 and r217791 rise the problem, D5443 <http://reviews.llvm.org/D5443> is devoted to the solution. r215176 applies several temporary ugly fixes of memory leaks in TGParser.cpp which would be great to be refactored using smart pointers. D5443 <http://reviews.llvm.org/D5443> demonstrates

Hi everyone, I'm trying to create an "if" conditional statement with two conditions, whereby the statement is true when condition 1 AND condition 2 are met: code structure: if ?AND? (a[x,y] <condition1>, a[x,y] <condition2>) I've trawled through the help files, but I cannot find an example of the syntax for incorporating an AND in a conditional IF statement.

On 7/26/11 5:37 PM, Xueying ZHANG wrote: > Hi John, > > Thanks for your reply! I'm CC'ing this to the list in case anyone knows why you're seeing this behavior. > > Now, I know the different between llvm.returnaddress(0) and > llvm.returnaddress(1). I modify the StackPortector.cpp and I just want > to get value of the return address stored on the stack. >

Hi all, I have a large dataset that has >10k entries. The dataset is stored in a dataframe with the headers: SubID Condition1 Condition2 Result1 Result2 There are multiple entries for a given SubID(Subject ID). Condition 1 has 3 levels and condition2 has 2 levels (therefore there are 6 possible combinations all together e.g. Cond1 Level1 x Cond2 Level 1 etc.) and i need to compute for 1. The

Dear R-list, Is there a way to convert the typical long R data-format to a 1-line per subject format? I have data formatted as: Group subj condition variable 1 1 1 746.36625 2 2 1 1076.152857 1 3 1 1076.152857 2 4 1 657.4263636 1 5 1 854.1266667 2 6 1 1191.676154 1 7 1 1028.175385 1 1 2 46.36625 2 2 2 76.152857 1 3 2 76.152857 2 4 2 57.4263636 1 5 2 54.1266667 2 6 2 191.676154 1 7 2 028.175385