similar to: Using loop for a random vector (Montecarlo method)

This looks like the sort of thing that you should ask the package maintainer (?maintainer). Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Feb 15, 2018 at 11:39 AM, john polo <jpolo at mail.usf.edu> wrote: >

R-users, I can't tell what's causing the following error. The vignette does not make a reference to a "packages" option or parameter. > library(MonteCarlo) Loading required package: abind Loading required package: codetools Loading required package: rlecuyer Loading required package: snow Loading required package: snowfall > infest_kud_fun<-function(x,A,B){ +??

Hy! I would like to know how run a montecarlo simulation with R. Thank you!!!! Francesca Matalucci __________________________________________________________________ Accesso Internet Gratis per utenti Excite! Attivalo subito! http://www.excite.it/hitech/accesso Il Mio Excite. Personalizza la tua Home page Excite come vuoi tu! http://www.excite.it AAA/Relazioni. Sfoglia gli annunci e trova la

On Feb 2, 2009, at 3:00 PM, Jon Harrop wrote: > On Monday 02 February 2009 20:37:47 you wrote: >> On Feb 2, 2009, at 12:39 PM, Jon Harrop wrote: >>> On Monday 02 February 2009 06:10:26 Chris Lattner wrote: >>>> I'm seeing exactly identical .s files with -msse2 and -msse3 on the >>>> scimark version I have. Can you please send the output of:

On Saturday 31 January 2009 03:42:04 Eli Friedman wrote: > On Fri, Jan 30, 2009 at 5:43 PM, Jon Harrop <jon at ffconsultancy.com> wrote: > > I just remembered an anomalous result that I stumbled upon whilst > > tweaking the command-line options to llvm-gcc. Specifically, the -msse3 > > flag > > The -msse3 flag? Does the -msse2 flag have a similar effect? Yes: $

Hello, When using write.table I am getting two variables pasted together (not by choice). Has anyone else had this happen? Specifically, I have the following: d _ read.dta(paste('/montecarlo/forecast/off/',F,'.dta',sep='')) write.table(d,file=paste('/montecarlo/forecast/off/csv/',F,'.csv',sep=''), row.names=FALSE, col.names=FALSE,

I am seeing the same problems using 'llvm-ld' with llvm-gcc at -O4 on x86_64 Fedora 8 linux as on Darwin. Another example of this is building the scimark2_1c benchmark... http://math.nist.gov/scimark2/download_c.html as follows on x86_64 Fedora 8... /home/howarth/llvm-gcc42-work/bin/gcc -O4 -m64 -c FFT.c /home/howarth/llvm-gcc42-work/bin/gcc -O4 -m64 -c kernel.c

Hello, When using write.table I am getting two variables pasted together (not by choice). Has anyone else had this happen? Specifically, I have the following on a RH7.2/R1.4 box: d _ read.dta(paste('/montecarlo/forecast/off/',F,'.dta',sep='')) write.table(d,file=paste('/montecarlo/forecast/off/csv/',F,'.csv',sep=''), row.names=FALSE,

I just remembered an anomalous result that I stumbled upon whilst tweaking the command-line options to llvm-gcc. Specifically, the -msse3 flag does a great job improving the performance of floating point intensive code on the SciMark2 benchmark but it also degrades the performance of the int-intensive Monte Carlo part of the test: $ llvm-gcc -Wall -lm -O3 *.c -o scimark2 $ ./scimark2 Using

...does not work. Do k<-grid.points(c(0.1,0.2,0.3),c(0.1,0.2,0.3),pch=3,vp=viewport()) (symbol - +). Try to change it grid.edit(k, pch=1) (symbol - open circle). Get filled squares. pch from 0 to 25 produces the same output. pch="x" - works OK. Device - x11(), gtk() (from GtkDevice). R -1.6.1

Hi I'm working with the function Kest in the package SpatStat (under LINUX with R 2.1.0). In order to evaluate the statistical significance of my point pattern I'm doing 999 Montecarlo replications. The script that use the Kest function runs OK for most of the different point patterns that I have but for a particular point pattern, which have only 17 points, it runs until the 34th

My wife has been using a diagnostic from Manley (1991; "Randomization and MonteCarlo Methods in Biology") that compares a normal multiple regression's performance with that using random predicted variables. Is there something like this already available in R? If not, the "boot" package looks like a good place to start looking for methods, no? Thanks in advance Bruce

Hello I have to show that R has more functionality than SAS for MonteCarlo type exercises involving matrix algebra. As I has little experience with SAS is anyone able to help. I have a model written in R but the IT world in this company is not familiar with R and wants to use something like SAS. thanks

Dear colleagues, I?m a new R-help user. I?ve read the advertisements about the good manners and I hope to propose a good question. I?m using R to build an epidemiological SEIR model based on ODEs. The odesolve package is very useful to solve deterministic ODE systems but I?d like to perform a stochastic simulation based on Markov chain Montecarlo methods. I don?t know which packages could be

Hi, i need help building a program for the evaluation of a cash or nothing option. The option is written on a stock that today has a price of X. Nine months before i will have this situation: If a<X<b the option pays 3 dollars If X<a or X>b the option pays nothing The price of the title is described by a geometric brownian motion, so i need to start a Montecarlo simulation to find

Dear list, Let's say we have a data frame as follows, >expand.grid(a=1:5,b=c(1,5,10,20),DV=c(0.1,0.2,0.3))->df1 >df1$DV<-rgamma(60,shape=10) columns a and b are two levels. DV is the column with values we are interested in. Then another data frame df2 with values as follows data.frame(a=c(2,2,3,4,5),b=c(5,10,1,5,20))->df2 Now I want to a subset of df1 that match df2 at the

Hi, We have recently published a paper on floating point accuracy analysis through Monte Carlo Arithmetic. We also released the open-source tool Verificarlo (https://github.com/verificarlo/verificarlo) that relies on LLVM for instrumenting floating point operations. Could you please add our paper to http://llvm.org/pubs/ ? Verificarlo: checking floating point accuracy through Monte Carlo

Hi all, I have upgraded a test machine from OpenSuSE 11.1 to 11.2. I have found following bug: the server is a 2x quadcore intel box also 2x4=8cpu If you limit the dom0 cpu with dom0-cpus= [1-7]: - [xenwatch_cb] is running 100% cpu and makes var log entry every 65 sec BUG: soft lockup - CPU#X stuck for 61s! - xm commands not work - xend is dead if set dom0-cpus to 0 or 8: - everything looks

Hi all, I have this code, but the marginal distribution plot doesn?t appear aligned with the left plot. I think could be something about layout or par() mar. The code was programmed by me time ago. Can anyone help me to get the marginal distribution on the center (more higher centered) id.txt Could have this code: 05/01/2016;9335,200195 06/01/2016;9197,400391 07/01/2016;9059,299805

Please, I'm trying to put the right plot higher and centered on the left values but I don't achive. I would appreciate so much your help El 6 jun. 2017 22:37, "Pedro p?ramo" <percentil101 at gmail.com> escribi?: > Hi all, > > I have this code, but the marginal distribution plot doesn?t appear > aligned with the left plot. > > > I think could be