similar to: batch jobs question

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

In another thread, a user was told to execute: wine 'prog1 prog2' to run them both at the same time. I haven't been able to figure out how to do that with my situation. I tried this wine "'c:/Program Files/wdisplay/WeatherD.exe' 'c:/Program Files/ Google/adwords_editor.exe'" but got this: wine: cannot find ''c:/Program

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 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

Hi all, I have a function - let's call it "myfunction". This function is based on some random number generator. Now, once in a while the function will break/crash depending on the random number it generate inside the function. To avoid the problem, what I intend to do is the following: 1. Catch the try-error using class. 2. Redo the function if it returns "try-error" 3.

Recently, with LSM (linux security modules) interface growing stable, it is becoming easier to implement different access-control systems for linux. There are already several projects using different approaches to the access-control problem. Each of them has its own meta-info for each file. When syncing two hosts which use some security module, one needs to sync this meta info for each file

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/

Hi, Thanks for your patch, Huang. It looks good to me. Just one comment: can you write a testcase, similar to the others used for linker script testing, with your example? Alternatively, you can modify lld/test/elf/linkerscript/sections-with-wildcards.test to test your case. This will make your patch complete and ready for commit, and will ensure we do not regress on this bug if this code is ever

Martyn, you write > I don't think restart() is necessary - it just seems like an invitation to > bad programming to me. It's needed when comparing, say, the time to convergence (if at all) of various iterative processes, for each of a few hundred simulated values. For example one wants basically function(data){ summary<-rep(NA,1000) for(i in 1:1000){

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 > }