similar to: Error in save.image(): image could not be renamed

Hi, i try to install MusicMatch JukeBox 1.43 in my RedHat Linux 8.0. Ussualy i work whit RedHat 7.3 whitout problems, everything is ok. But whit RedHat 8.0 display the nex problem: [rodox@tux rodox]$ mmjb/mmjb wine: lstat /home/rodox/mmjb/wine/conf/wineserver-tux/socket : No such file or directory I search in google, and http://www.winehq.org whitout good results... i don't understand

Hi list, I am still having troubles with rsync, as on large areas in our setup, it keeps dying unexpectedly. See my previous post two days ago for the initial tries. I realize it is a somewhat broad question, but how do I troubleshoot these disconnects? Im no great programmer, although we have a few good c programmers around, and if needed I can ask for their help. But for now, my thinking is,

Dear members of R-list, I need to reproduce the rules of a decision tree. For that I need to use the csplit information from the rpart.object. But I cannot uderstand the information because from my example I get: > rpart.tree$csplit [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 1 3 3 1 3 3 3 [2,] 2 3 3 1 2 2 2 [3,] 1 3 3 1 3 3 3

Function/file names are hypothetical. Say I have written myfunction.R, which calls myfunction.c via .C("myfunction", ...). I've compiled successfully myfunction.c via R CMD SHLIB myfunction.c in the terminal. Then, in the R console: dyn.load("myfunction.so") source("myfunction.R") test <- myfunction() # works fine So everything is in order, myfunction works

After several hours of trial and error I've figured out how to create packages for use by rw1000 ("Writing R Extensions" seems not to cover this). I haven't been able to figure out how to make help files work. I want plain text only, via help(name) or ?name. I create a 'help' subdirectory containing a 00Titles file and function-specific help files in the package

Hello, For verbose coding I'd like to do something like: > myfunction <- function(x){ > if (a){ > stop(paste(myfunction_name_here,"requires xyz!") > } Is that possible? Thanks for any hints, Joh

Hello to everybody, Does anyone has implemented a function for evaluating models using windowing strategies, such as growing window or sliding window ones? The aim is to evaluate regression models on a time series data. I do not use cross-validation once data sorted in a radom way does not make sense when evaluating time series. Thanks Joao Moreira

Marc and many other people ( whose names escape me ) have been very helpful in explaining the use of lapply to me. In his last response, Marc explained that if tradevectors is a list of vectors of different lengths ( excuse my terminology ) then lapply(tradevectors,function(x) G[x]*B[x] ) will go through each component of the list as if it was a vector and apply the element by element

Dear All, I hope you don't mind helping me with this small issue. I haven't been using R in years and I'm trying to fill in a matrix with the output of a function (I'm probably using the Matlab logic here and it's not working). Here is my code: for (i in 1:length(input)){ out[i,1:3] <- MyFunction(input[i,1],input[i,2], input[i,3]) out[i,4:6] <-

Dear all, I have the following problem: I have written a function genereating to plots, eg myfunction <- (data, some.parameters) { #some calculations etc . par (mfrow=c(1,2)) plot1(......) plot2(.....) } which works fine. But for analysing several variants, I tried a slope, eg: par (mfrow=c(5,5)) for ( i in 1:10) { myfunction(data, i) } Off

I have a function myFunction(beta,x) where beta is a vector of coefficients and x is a data frame (think of it as a matrix). I want to optimize the function myFunction() by ONLY changing beta, i.e. x stays constant, with 4 constraints. I have the following code (with a separate source file for the function): rm(list=ls()) source('mySourceFile')

I apologize if this issue has been raised before. I really like object oriented S3 programming. However, there's one feature of object oriented S3 programming that I don't like. Generic functions can have arguments other than dots. Lets say you have an R package with something like: print.myfunction (f, ...) { dosomething (f, ...) } Noting that I use function objects a lot. R CMD

Hi everyone, I made some tests with Rcmdr, to add a function with default parameters : For example (very simple): myfunction<-function(var="314"){ print("hello") print(var) } if I run myfunction() directly i see : > myfunction() [1] "hello" [1] "314" it's ok. But if i edit de Rcmdr-menu.txt (in

Hi - I was wondering if anyone came across a problem such as mine! I was trying to create a user-defined function, however, the results from calling the function are unexpected! When passing X parameter as a single value variable (x<-c(3)), everything works fine. However, when passing a parameter as a vector with multiple values (as the case in my code), the 'if condition' is only

Hello R-helpers, I'm writing a long function in which I manipulate a certain number of datasets. I want the arguments of said function to allow me to adapt the way I do this. Among other things, I want my function to have an argument which I will pass on to subset() somewhere inside my function. Here is a quick and simplified example with the iris dataset. myfunction<-function(table,

I am interested in running R commands asynchronously. My first choice is in the same R session that I am currently in. Here, the goal would be to run something like RunAsynchSameSession(myfunction(), "outputname.rda") Once RunAsynchSameSession had started myfunction(), RunAsynchSameSession would complete immediately. myfunction would keep going. It is OK if execution of the

Dear all, I am doing 200 times simulation. For each time, I generate a matrix and define some function on this matrix to get a 6 dimension vector as my results. As the loop should be slow, I generate 200 matrice first, and save them into a list named ma, then I define zz<-sapply(ma, myfunction) To my surprise, It almost costs me the same time to get my results if I directly use a loop

Dear all, I am doing 200 times simulation. For each time, I generate a matrix and define some function on this matrix to get a 6 dimension vector as my results. As the loop should be slow, I generate 200 matrice first, and save them into a list named ma, then I define zz<-sapply(ma, myfunction) To my surprise, It almost costs me the same time to get my results if I directly use a loop

Hello all, I would like to enhance LLVM debug info that supports setting breakpoint on labels in function. Generally, if users use GDB as their debugger, they could set breakpoints on labels in function. Following is an example. // C program static int myfunction (int arg) { int i, j, r; j = 0; /* myfunction location */ r = arg; top: ++j; /* top location */ if (j == 10) goto

Dear All I have a program that breaks at the following lines of code: bigfunction = { ... object1 = myfunction(x) object2 = strsplit(object1, ",")[[1]] ... } where myfunction is defined elsewhere outside of bigfunction. The error I get is "error in strsplit() -- object1 not found". However, when I insert browser() into my code so that the above reads, bigfunction = {