similar to: R windows crash (PR#9426)

Hi (Duncan?), The other day I noticed some characters will cause errors in R CMD CHECK because of parse_Rd(), and AFAIK, these chars include '%', '{' and '}'. For example, note the comments in the example section: %~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~% \name{testfun} \Rdversion{1.1} \alias{testfun} \title{ A Test } \description{ A test } \usage{ testfun() } \value{ NULL }

All, I am not understanding the scoping used in foreach when it is used inside a function. I keep getting "could not find function" errors for functions that are in memory when I try to use foreach within a function call. I have a simple example below. "testFun" is in memory and works when called by foreach directly, but when I place foreach in a function called

Dear R users, I am running R-2.15.1 in Linux Slackware64-14.0. Here is my minimal working example: testfun <- function (x) { a <- 0; sapply(X="a", FUN=get, envir=sys.frame(which=x)); } Inside R, that is R called from within a Linux terminal, the following code works: testfun(x=5) print(testfun(x=6)) But within rkward the above code fails and the following works: testfun(x=1)

Dear All, I have three classes of questions about generating random numbers with different packages (windows xp 32bit R). . 1. Suppose I would like to use package *foreach*, can I use current Sys.time as a seed? Although I can get the time up to1e-6 second precesion, the code below dose not work well on a local machine with two cores. ################# library(foreach) library(snow)

Hi Luke, Ah - I see - thank you! This at least points me to a way on how to "fix" this. I tried setting the srcref attribute to NULL, but the hash value is still different and so is the serialization. So this looks like it is one difference, but not all of them Even if all differences were identified - it still leaves me with different behavior between interactive and batch-mode,

I have a similar question, I know about --vsize, but I use R under Emacs using ESS. I know there is an easy way to call R from ESS with command line options but I don't remember how. I can't find help on this in ESS documentation or in R documentation. Could someone please remind me how this is done. ------------------------------------ | Robert Denham | |

Hi, I posted this question to the regular help list, but it seems to be this is probably a question that is better addressed on r-devel. Sorry for the double posting. I am using hash-values to cache certain results in R. This caching also depends on the hash-value of the function that is being cached (calculated using the digest package). I noticed that computations that should already be cached

Dear all, Why does not the three-dot accept arguments from the parent environment? I am just confused with this error, can someone give me a hint? > rm(list=ls()) > testFun <- function(a, ...) + { + if(a){ + print(a) + }else + { + print(b) + } + } > > myTask <- function(a) + { + b <- 3 + testFun(a, b = b) + } >

Hi Gabriel, thanks for your reply - it does solve the problem of my toy function, but does come with some other problems though. a) as.list(f)[[1]] yields an expression, not a function. In order to go the route you are suggesting, I would more likely use "deparse" in order to get the original back b) and more seriously - as.list strips the environment of the function (and thus

Apologees the novice question. Currently climbing up the learning curve of R. Suppose I have the following function and the data.frame: testfun<-function(x=1,y=2) x+y testframe=data.frame(col1=c(1,2),col2=c(3,4)) When evaluating testfun, I want to use the default value for y (which is 2) and for x, I want to feed (one by one) the values in col2 of testframe. How can I achieve this please?

Greetings, I am attempting to run a function, which produces a vector and requires two input variables, across two nested factor levels. I can do this using by(X, list(factor1, factor2), function), however I haven't found a simple way to extract the list output into an organized vector form. I can do this using nested loops but it isn't exactly an optimal approach. Thank you

I am trying to use a custom S4 object in my C code and I cannot get the access to its slots working. The following is a toy example, but even this crashes. In R I have: setClass("pd", representation(data="numeric")) x <- new("pd", data=1:5) test <- function(pd.obj) { res <- .C("TestFun", pd.obj) res} test(x) (Of couse

Dear guRus, I'd like to learn how to make a function recognize the name of an object/vector given as argument If I have : testFun <- function(x,y) plot(x,y, main=paste("plot of",names(x),"and",names(y)) ) # this just a simple example ... a1 <- 5:8 b1 <- 9:6 testFun(a1,b1) # Returns the plot, but not the names of the objects/vectors given as arguments, # but

R-Help community, I understand that data.frames can hold elements of type double, string etc but NOT objects (such as a matrix etc). This is not convenient for me in the following situation. I have a function that takes 2 inputs and returns a vector: testfun <- function (x,y) seq(x,y,1) I have a data.frame defined as follows: testframe<-data.frame(xvalues=c(2,3),yvalues=c(4,5)) I would

First, here's the problem I'm working on so you understand the context. I have a data frame of travel activity characteristics with 70,000+ records. These activities are identified by unique chain numbers. (Activities are part of trip chains.) There are 17,500 chains. I use the chain numbers as factors to split various data fields into lists of chain characteristics with each element of

I am trying to use the function "nlm" to find the mle. I want to use a generic function for the likelihood which would require me to use both the parameters and the data as arguments. But nlm requires the function to have only the parameters as arguments for this function (see example below). > testfun <- function(x,y) sum((x-y)^2) # x - parameters, y - data >

The following program is whittled down from a much larger program that always works on Intel, and always works on AMD's threadripper with lapply but not mclappy. With mclapply on AMD, all processes go into "suspend" mode and the program then hangs. This bug is replicable on an AMD Ryzen Threadripper 2950X 16-Core Processor (128GB RAM), running latest ubuntu 18.04. The R version

Hi, I am experimenting with the function predict() in two versions of R and the R extension package "survival". library(survival) set.seed(123) testdat=data.frame(otime=rexp(10),event=rep(0:1,each=5),x=rnorm(10)) testfm=as.formula('Surv(otime,event)~x') testfun=function(dat,fm) { predict(coxph(fm,data=dat),type='lp',newdata=dat) } # Under R 2.11.1 and

Hi, I am experimenting with the function predict() in two versions of R and the R extension package "survival". library(survival) set.seed(123) testdat=data.frame(otime=rexp(10),event=rep(0:1,each=5),x=rnorm(10)) testfm=as.formula('Surv(otime,event)~x') testfun=function(dat,fm) { predict(coxph(fm,data=dat),type='lp',newdata=dat) } # Under R 2.11.1 and

Hi, I have a benchmark (mcf) that is currently slower when compiled with clang compared to gcc 8 (~10%). It seems that a hot loop has a few differences, where one interesting one is that while clang stores an incremented value in each iteration, gcc waits and just stores the final value just once after the loop. The value is a global variable. I wonder if this is something clang does not do