similar to: How does R vary from SAS?

This is what to start with: Data Frame A B C D c1 4 y 5 c3 6 d 7 c1 5 t 6 Now sort on A then C This is what to end with: Data Frame A B C D c1 5 t 6 c1 4 y 5 c3 6 d 7 I assume it is something like this: attach(DF) sort(DF,partial=c(A,C)) Thanks in advance. Meredith [[alternative HTML version deleted]]

Thanks Mike. My data has longitude and latitude coords and I used distAB {clim.pact} then mst {ape} to calculate my minimum spanning tree. The nodes are telecoms sites from all over Australia. My goal is to determine the minimum cost of linking them via cabling, and I'm starting by calculating the distance "as the crow flies", but will probably eventually need to calculate the

Hi, Thanks for reading. I am running a process in R for microarray data analysis. RedHat Enterprise Linux 4, dual AMD CPU, 6G memory. However, the R process use only a total of <200M memory. And the CPU usage is total to ~110% for two. The program takes at least 2 weeks to run at the current speed. Is there some way we can increase the usage of CPUs and memories and speed up? Any

Hello How do I use function 'MERGE" to combine the FILE A and FILE B below to make FILE C? Thank you FILE A 140 151 167 30.1 11.4 40 FILE B 140 167 5.7 30.3 FILE C 140 151 167 30.1 11.4 40 5.7 NA 30.3

Hi I am trying to print out means, STDs and histograms under two sets of factors. I can manage it for one set - see below but not for two sets. That is, I want ot print out the mean STD and Histogram for each ITEM code within each DELIVERABLE code. In addition I can only get to view the histogram for the last item. How do you get R to stop overriding the histogram for eg level 1 for factor 1

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){ +??

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: >

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: $

exportData(MU.Cost,paste("C:/RAUDSL/S",as.character(MU.Cost$Run.Id[1])," .",as.character(MU.Cost$MU.Id[1]),".MU.PRICE.OUTPUT.txt",sep=""),append = FALSE,type="ASCII",quote=FALSE) [[alternative HTML version deleted]]

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

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,

Hello Instead of reading in group1.txt I want to read in groups1 for the first iteration of i, then groups2 for the second and so on. Obviously I can't use groups(i) but assume there is a way to do this. group<-read.table("C:/Data/April 2005/group1.txt",header=T) thanks in advance Meredith

On Mon, 14 May 2012 11:46:02 -0700 Preston Briggs <preston.briggs at gmail.com> wrote: > On Sat, Apr 21, 2012 at 6:08 AM, Sanjoy Das > <sanjoy at playingwithpointers.com> wrote: > > > > Sorry for having been quiet for so long, I have my university exams > > going on, and will be able to contribute only after the coming > > Friday. > > Gents, >

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

On Mon, May 14, 2012 at 1:30 PM, Hal Finkel <hfinkel at anl.gov> wrote: > Can you explain this comment: > > With minor algebra, this test can also be used for things like [c1 + > > a1*i + a2*j][c2]. It's really too simple to deserve mention... Given a subscript pair, [c1 + a1*i + a2*j] and [c2], we can test for dependence using the RDIV test by rewriting as [c1 + a1*i]

Hi, I would like to replicate a sort of Montecarlo experiment: I have to generate a random variable N(0,1) with 100 observations but I have to contaminate this values at certain point in order to obtain different vectors with different samples: tab<-function(N,n,E,L){ for(i in 1:100){ X1<-rnorm(N*(1-a),0,1) X2<-rnorm(N*(a),E,L) X_tab<-sample(c(X1,X2),n,replace=T) } return(X_tab)}

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

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

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

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