similar to: avoid a loop

Hi the list In the DESCRIPTION file of my package foo0, I have: Depends: foo1 Imports: foo2 Suggest: foo3 Enhence: foo4 If I understand correctly, to install foo0 on my computer, I need to already have foo1, foo2, foo3. foo4 is not necessary. I my R sesssion, when I will write: library(foo0), then the package foo1 will be attach. foo2, foo3 and foo4 will not. Is that correct? But what is

Hello, This is my first post to the help request list, so I'm going to err on the side of giving too much information. I'm working on writing a simulation in which agents will make repeated production and exchange decisions with randomly chosen partners. The idea is, all agents can produce two goods which they want to consume, they choose a value t in [0,10] which sets their production

Hi! I wonder if llvm::APFloat::toString() can be const since it should not modify the APFloat. -Jochen

> On May 17, 2016, at 1:33 AM, Shi, Steven via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > Hello, > Let me ask a LTO simple question again. For the llvm LTO example in the link:http://llvm.org/docs/LinkTimeOptimization.html <http://llvm.org/docs/LinkTimeOptimization.html>, I use below build commands to generate three different optimization level binary: -O0, -O1, -O2.

Hi Umesh, Thank you for the suggestion. I can use the "Brute force method " to narrow down the LTO wrong instructions here and there, but I still don't know why these wrong instructions are generated, and how to let Clang LTO don't generate those wrong instructions. I suspect the wrong code is caused by some LTO wrong optimization pass, so I hope to disable all optimizations in

Hi all, I am trying to construct a pairwise coocurrence matrix for certain terms appearing in a number of documents. For example I have the following table with binary values showing the presence or absence of a certain term in a document: term1 term2 term3 term4 term5 doc1 1 1 0 0 1 doc2 1 1 0 1 1 doc3 1 0 0 0 1 And I want to have a matrix with the number of the pairwise coocurrencies. So,

Hi everyone, Hi ggplot users in particular, ggplot makes it very easy to plot things given their names when you use it interactively (and therefore can provide the names of the columns). qplot(x,foo,data=A) where A has columns (x,y,foo,bar) for example but I would like to use this from inside a function to which the name of the column is given. I cannot find an elegant way to make this

Hi Folks, I'm trying out some ideas for loadbalancing Samba servers with some replication underneath. Right now, we're trying to use DNS round robin, just to see if it works, but it isn't. Our basic config is that we have the same share and NMB server name on every node. Each node has a different IP hostname, which are all round-robin'ed to a single hostname. When we try to

Dear R Helpers, I am trying to find a way to identify all the objects in my environment that are all caps and then end with .f. I can do the all caps part pretty easily, but I have tried a number of variations on the \ and can't get a recognition of that operator. As a simple example A.f<-"foo1" AA.f<-"foo2" aa.f<-"foo3" A.a<-"foo4" ls()

On Mar 6, 2010, at 3:39 AM, Jochen Wilhelmy wrote: > Hi! > > I wonder if llvm::APFloat::toString() can be const since > it should not modify the APFloat. Done in r97883, thanks.

Dear all, I want to create filename from a loop, say, i=(1:10), and the final names will be file1.csv, file2.csv, file3.csv in Python, it seems easer as - "file"+str(i) +'.csv , but how can i do in R > list = as.character(1:10) > list [1] "1" "2" "3" "4" "5" "6" "7" "8" "9"

Hi all! I played around with the LLVM LTO example(https://llvm.org/docs/LinkTimeOptimization.html#example-of-link-time-optimization), but got some questions. As the document says, the function foo4 should be removed. However, under my test, function foo4 is not removed. I have tried both gnu ld with LLVMgold.so and lld, neither of them removes function foo4. I compile and run the example as

Dear all, I have a result my experiment like this below (here my toy example): foo1 <- list() foo1[[1]] <- c(10, 20, 30) foo1[[2]] <- c(11, 21, 31) foo2 <- list() foo2[[1]] <- c(100, 200, 300) foo2[[2]] <- c(110, 210, 310) foo3 <- list() foo3[[1]] <- c(1000, 2000, 3000) foo3[[2]] <- c(1100, 2100, 3100) list(foo1,foo2,foo3) The result: > list(foo1,foo2,foo3) [[1]]

Thank you very much for your useful suggestions. These are exactly what I was looking for. foo <- list(foo1, foo2, foo3) lapply(foo, function(x) matrix(unlist(x), nrow = length(x), byrow = TRUE)) or lapply(foo, function(x) do.call('rbind', x)) Best, Muhammad Subianto On 4/11/06, Muhammad Subianto <msubianto at gmail.com> wrote: > Dear all, > I have a result my experiment

> length(sample(25000, 25000*(1-.55))) [1] 11249 > 25000*(1-.55) [1] 11250 > length(sample(25000, 11250)) [1] 11250 > length(sample(25000, 25000*.45)) [1] 11250 So the question is, why do I get 11249 out of the first command and not 11250? I can't figure this one out. Thanks Cory [[alternative HTML version deleted]]

Dear List: In short, I am writing a number of functions as building blocks for other functions and have some questions about scoping and passing arguments. Suppose I have functions foo1, foo2, and foo3 such that: foo1<-function(a=1,b=TRUE,c=FALSE){#do stuff}; foo2<-function(x=1,y=FALSE,z=c(1,2,3,4)){#do stuff}; foo3<-function(lambda,...){lambda*foo1()*foo2()}; I want to be able to

I have a general style question about R coding. Suppose I'm writing a function (foo1) that calls other functions (foo2, foo3, ...) which have complicated argument lists (e.g. optim(), plot()), _and_ I may be calling several different functions in the body of foo1. Since foo2 and foo3 have different sets of arguments, I can't just use "..." ; I did write some code a while ago

Hi all, For some reason, I would like to use functions bellow (see example code bellow), but instead I get the following error message: *Error in foo2(...) : unused argument(s) (arg3 = 3)* #--------------------- # example code #--------------------- foo1 <- function(arg1,...) { print(arg1) foo2(...) foo3(...) } foo2 <- function(arg2) { print(arg2) } foo3 <- function(arg3) {

Hello. I am creating an R package that I'd like to submit to CRAN (OS Windows XP). How do I distinguish among 'public' functions, e.g., those that are intended to be called by users of the package and for which I am providing documentation & examples, and 'private' functions, which are used internally by the 'public' functions, but for which I do not wish to

My apologies for asking what is doubtless a dumb question, but I have scant experience in R. It would be very convenient in doing lots of plots to be able to do them in a loop that stepped through a vector of variable names. For example one could say x<-("mydates") y<-c("foo1","foo2","foo3") #where "foon" were vectors