similar to: Howto Restart A Function with Try-Error Catch

R-helpers: I tried googling and couldn't find anything. I have a function I am sourcing into R that does some calculations to generate a simulated dataset. I currently have a a list set up to store the outputs from the function and a plot of one of them (a set of ordered pairs) like this: foo<-function(x,y,z){ ## do some work here ## list(x=x,y=y,z=z,output1=output1,output2=output2,

Hello, I'm new to R and would like to know how to create a vector of "rolling sums". (I have seen the Rmetrics package and the rollMean function and I would like to do the same thing except Sum instead of Mean.) I imagine someone has done this, I just can't find it anywhere. Example: x <- somevector #where x is 'n' entries long #what I would like to do is: x1

Dear R helpers! Let me first wish all of you "Merry Christmas and Very Happy New year 2011" "Christmas day is a day of Joy and Charity, May God make you rich in both" - Phillips Brooks ## ---------------------------------------------------------------------------------------------------------------------------- I have a process which generates number of outputs. The R code

Hello! I need some help, because I don't know how this error means: Error: variables ?Output1?, ?Output2?, ?Output3?, ?Output4?, ?Output5? were specified with different types from the fit Execution halted Can you help me? Thank You

I'm trying to figure out how to repeat a series of commands in R and have the outputs added to a dataframe after each iteration. My code starts this way... a<-read.csv("File1.csv") b<-read.csv("File2.csv")

Hi,there I'm doing some R batch jobs in Unix. Something like R <prog1> output1 --save & R <prog2> output2 --save & prog1 and prog2 are running at the same time and they are essentially same except it contains different parameter values. I was wondering if two processes will affect each other? Hopefully they are two independent jobs. It's a beginner's question

Hi I want to sum over one of the dimensions of a n x k1 x k2 array in which each column is the product of the corresponding columns from two matrices with dimensions n x k1 and n x k2. I can see two approaches: a loop on k1 and a loop on k2. But I cannot figure a solution that avoids the loop? Is it possible? (I don't refer to apply or lapply etc either as they are just hidden loops so,

Hi r users, I have two data sets (X1, X2). For example, time1<-c( 0, 8, 15, 22, 43, 64, 85, 106, 127, 148, 169, 190 ,211 ) outpue1<-c(171 ,164 ,150 ,141 ,109 , 73 , 47 ,26 ,15 ,12 ,6 ,2 ,1 ) X1<-cbind(time1,outpue1) time2<-c( 0 ,8 ,15 , 22 ,43 , 64 ,85 ,106 ,148) output2<-c( 5 ,5 ,4 ,5 ,5 ,4 ,1 ,2 , 1 ) X2<-cbind(time2,output2) I want to

Hello, I have a number of files output1.dat, output2.dat, ... , output20.dat, each of which monitors several variables over a fixed number of timepoints. From this I want to create a data frame which contains the mean value between all files, for each timepoint and each variable. The code below works, but it seems like I should be able to do the second part without a for loop. I played

i  want to print in the console and to have an excel file like this no_GWP                NbOfPolicyClass1[0-1000]     NbOfPolicyClass2[1000-3000]        NbOfPolicyClass3[> 3000] No_GWPMax=8    NbpolicyClass1=5                   NbpolicyClass2=4                            NbpolicyClass3 =3              i have do it like this:!!! data1 <-

Hello, I have various datasets of zoo time series (merged into single frames via the "merge" command) such as date var0 var1 var2 var3 08/07/1996 652.54 0.223922 0.515819 0.502638 08/08/1996 662.59 0.997841 0.000383 0.999806 06/09/1996 655.68 0.901685 0.569763 0.866333 08/10/1996 700.64 0.268855 0.244701 0.329285 08/11/1996 730.82 0.438407 0.501427 0.461374

Hi Duncan, Do you have sources also in the $LLVM_SRC_ROOT/projects/test-suite/External/SPEC/CINT2000/164.gzip? The following is content of above directory in my case. I have copied the CINT2000 sources in this directory manually. $ls -1 $LLVM_SRC_ROOT/projects/test-suite/External/SPEC/CINT2000/164.gzip 164.gzip.reference_output 164.gzip.reference_output.small compile_info compile_parms

Dear all: I'm trying to fit the optimal Box-Cox transformation related to nls (see the code below) for the demand of money data in Green (3th Edition) but in the last step R gives the next error message. Error en `[.data.frame`(eval(object$data), , as.character(formula(object)[[2]])[2]) : undefined columns selected. ?Any idea to solve the problem? Thanks in advance,

I need some sort of utility to calculate a checksum of an Ogg file. Two differently encoded Ogg:s should give different checksums, but the same file with different tags should give the same result. (The serial number doesn't work here, obviously. I need something that is changed if a bit of the file is lost.) -- Björn Lindström <bkhl@elektrubadur.se> http://bkhl.elektrubadur.se/

The code base is a bit too complicated to paste in here, but the gist of my question is this: given I have a function myfunction <- function(x) { # Do something A # Do something B # Do something C } Say "#Do something B" returns this error: Error in cat(list(...), file, sep, fill, labels, append) : argument 2 (type 'list') cannot be handled by 'cat' A standard

Here is what I do. It gets explained step by step. At the end of this mail you will find my references used in the text by [0] and so on. - starting with initial setup - getdriverdir NT x86 - uploading files with smbclient prompt; cd W32X86 - addriver - addprinter - debian:/scratch/W32X86# rpcclient debian -d 1 -A /scratch/authfile.txt -c "enumdrivers" -

Hi All, Apologies for the simplicity of my question, but I would be grateful for any advice. Thanks I'm trying to put the output from a for loop into a data frame, however I have not been successful. The steps I have taken are: *R-code:* >for (k in 1:(nt-1-n0) ){ > n<- n0-1+k > lam=n/nt > Q=x[n] > output1<-data.frame(cbind(k,n,lam,Q)) > output1 > }

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

Appologies for cross-posting Dear R users, I am using R2WinBUGS to call WinBUGS from R. After loading data, model, and initial values I call this command res <- bugs(data = dfile, inits = list(ifile), parameters.to.save = c("beta"), model.file = mfile, working.directory = tdir, n.thin = nthin, n.chains = 1, n.iter = niterations*nthin, n.burnin = 0, DIC = F, debug = T,

Hi All, I am trying to configure llvm so with test-suite enabled. I have downloaded the test-suite. Spec 2000 benchmarks sources are plugged in speccpu2000 at $LLVM_SRC_ROOT/projects/test-suite-externals/speccpu2000/benchspec e.g.: 164.gzip dir is $LLVM_SRC_ROOT/projects/test-suite-externals/speccpu2000/benchspec/164.gzip My configure command is: ../configure --disable-optimized