similar to: Error with Source()

Hello, What options are available for me to debug my R scripts? For example I normally do something like >source("myfunctions.R") >function1("height", "weight") myfunctions.R is a large R source file that contains many functions. function1 is the "main" function in myfunctions.R. It calls many other user-written functions that are also in

> Dear R-users! > > I am using R 1.0.0 and Windows NT 4.0 > In the past I have used several different working directories for different projects, and during many of these projects I have written some functions for particular purposes. Now I thought I would be nice to have all these "personal" functions collected in one place, and to make them available in R no matter which

I am trying to build a package using windows xp. Here is the error I am getting: R CMD build myfunctions * checking for file 'myfunctions/DESCRIPTION' ... OK * preparing 'myfunctions': * checking DESCRIPTION meta-information ... OK * checking for LF line-endings in source and make files * checking for empty or unneeded directories * building 'myfunctions_1.0.tar.gz'

(Before starting: I'm a total R noob so please bear with me in case of any error or faux pas). Hi, For a small project, I'm writing a few simple R functions and calling them from python (using RPy). I'm sharing the code with a couple of friends, using a subversion server. Now, I want something like a package, to be able to share functions between ourselves. Having read a few package

Ok guys, as requested, I will add more info so that you understand why a simple vector operation is not possible. It's not easy to explain in few words but let's see. I have a huge amount of points over a 2D space. I divide my space in a grid with a given resolution,say, 100m. The main loop that I am not sure if it's mandatory or not (any alternative is welcomed) is to go through EACH

Hello, is it possible to define functions in a file, say, myfunctions.R, and import them into R -- into the top-level namespace? I've seen in the documentation that you can create packages, but this seems very heavy-duty, as it requires me to createa subdirectory, and various other files. TIA Martin

Hi all! I have lots of functions called in the following pattern 'NameOfFunctionNumber' where the name always stays the same and the number varies from 1 to 98. Another function which I run in advance returns the number of the function which has to be called next. Now I want to combine 'NameOfFunction' with the 'Number' returned so that i can call the desired function. I

Thanks very much to Friedrich Leisch, Brian Ripley and Thomas Lumley for their useful answers. Basically, they all suggested creation of a personal package as the easiest and best way to hold ones own functions. This indeed is quite easy and very useful. In addition, Friedrich Leisch pointed out that he's planning to add an "append" argument to the dump() function. One follow up

I'd like to develop a simple library in R in which to save my particular functions. I have read the manual on "Writing R Extensions" but it's too difficult. Someone could help me? I want only save my personal function (recorded in R-code, not in C) in "myLibrary" and I want to call it with: >library (myLibrary). After this, the functions should be available

Hi all, This information must be out there, but I can't seem to find it. What I want to do is to store functions I've created (as .R files or in whatever form) and then load them when I need them (or on startup) so that I can access without cluttering my program with the function code. This seems like it should be easy, but.... Thanks! Jeff

Dear R community, You may have the solution to how to construct a function using the function "source()" to build the function; i.e. myfunction <- function(...){ source('file1.r') source('file2.r') } After compiling and installing the "myfunction" in R, then calling the "myfunction" gives an error because the content of 'file1.r' and

Hi, I often find myself staring at IR and wanting to look at the C source code it corresponds to. To do so, I look up the debug identifier for the given IR line, scroll to the bottom of the IR file to find the debug identifier, look at the debug location (source and column), and then look at the source file. Too many steps. What would be great is a tool that took two files, i.e., a .c file and a

On 08/16/2013 02:42 AM, Star Tan wrote: > At 2013-08-16 12:44:02,"Tobias Grosser" <tobias at grosser.es> wrote: >> Hi, >> >> I tried to reproduce your findings, but could not do so. > > > Sorry, I did not put all code in my previous email because the code seems a little too long and complicated. > You can refer to the detailed C code and LLVM IR

Hi everyone, I'm having some trouble with my ifelse statements. I'm trying to put 12 conditions within 3 groups. Here is the code I have so far: dat$cond <- ifelse(test = dat$cond == "cond1" | dat$cond == "cond2" | dat$cond == "cond3" dat$cond == "cond4" yes = "Uniform" no = ifelse(test =

Colleagues, R version 2.8.1 in OS X Within a function (which is already within a function), I am sourcing a file. The syntax of the command is something like (this is just an example; the actual code is much more complicated): BIGFUNCTION <- function() { DATAFRAME <- [some commands to create a dataframe] MYFUNCTION(DATAFRAME) } MYFUNCTION <- function(DATAFRAME) { print(ls())

Dear R community, I am trying to resolve a discrepancy between the way SPSS and R handle 2-way, repeated measures ANOVA. An experiment was performed in which samples were drawn before and after treatment of four groups of subjects (control and disease states 1, 2 and 3). Each group contained five subjects. An experimental measurement was performed on each sample to yield a

On Wed, Sep 2, 2015 at 5:36 AM, James Molloy <james at jamesmolloy.co.uk> wrote: > Hi, > > Coremark really isn't a good enough test - have you run the LLVM test suite > with this patch, and what were the performance differences? For the test suite single source benches, the 235 tests improved performance, 2 regressed and 705 were unchanged. That seems very optimistic.

Hi! I'm having some trouble with a pass I'm writing. I'm using DemotePHIToStack to remove all phi node in my code with this code (this is the first thing I do in my pass): // Erase phi node vector<PHINode*> phis; for (Function::iterator i=f->begin();i!=f->end();++i) { for(BasicBlock::iterator b=i->begin();b!=i->end();++b) {

At 2013-08-16 12:44:02,"Tobias Grosser" <tobias at grosser.es> wrote: >Hi, > >I tried to reproduce your findings, but could not do so. Sorry, I did not put all code in my previous email because the code seems a little too long and complicated. You can refer to the detailed C code and LLVM IR code on http://llvm.org/bugs/show_bug.cgi?id=16843 There are four attachments

On Mon, Dec 18, 2017 at 5:46 PM Xinliang David Li <davidxl at google.com> wrote: > The introduction of cleanup.cond block in b.ll without loop-rotation > already makes the layout worse than a.ll. > > > Without introducing cleanup.cond block, the layout out is > > entry->while.cond -> while.body->ret > > All the arrows are hot fall through edges which is