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...19,.01)).. For optmization purpose I need to approximate the values for any factor X in 0,02-0,98 and Y in 0,01-0,19 How can I do it ? For one factor : Xn-1 < x <= Xn f(x)=(f(Xn-1)*(x-Xn-1)+f(Xn)*(Xn-x))/(Xn-Xn-1) I don't know how to generalize this for two factors.. Thanks in Advance Naji

> From: Weiwei Shi > > it works. > thanks, > > but: (just curious) > why i tried previously and i got > > > is.vector(sample.size) > [1] TRUE Because a list is also a vector: > a <- c(list(1), list(2)) > a [[1]] [1] 1 [[2]] [1] 2 > is.vector(a) [1] TRUE > is.numeric(a) [1] FALSE Actually, the way I initialize a list of known length is by

...distribution. (some thing close to Ricci document : Fitting distributions with R, Feb05). The distribution I want to fit is a truncated Gamma at 1 (the minimal value is 1), P(x)=Pgamma(rate,x)/(1-Pgamma(rate,x<1)) NB : changing the variable (x-1,ln(x)) didn't get satisfying results Best Naji

...a(sanction) > user.prompt() Erreur dans eval.with.vis(expr, envir, enclos) : impossible de trouver la fonction "user.prompt" De plus : Warning message: data set 'sanction' not found in: data(sanction) Is there something wrong in the settings? Thanks helping me to fix this Naji Mac platform powerpc-apple-darwin7.9.0 arch powerpc os darwin7.9.0 system powerpc, darwin7.9.0 status major 2 minor 2.0 year 2005 month 10 day 06 svn rev 35749 language R PC platform i386-pc-mingw32...

...odel. I found neither article nor reference in order to establish some code. I would appreciate a good reference describing the algorithm in detail or some code. Other ideas performing the model estimation are welcome. I have established the log-likelihood function and its gradient. Best regards Naji

Hello useRs and helpRs, Some time ago, in a gallaxy far away (here is the thread : http://finzi.psych.upenn.edu/R/Rhelp02a/archive/46532.html ) we discussed about a graph gallery showing the power of R in that domain. I did some work around that, and there is a (pretty advanced) draft here : http://addictedtor.free.fr/graphiques/displayGallery.php For instance, there are some of my graphs,

...rbanek for his help. A simulation case (50x34x5x3 & 250 replications) each based on behavior of 2500 consumers takes - 2h20mins on a laptop (2 MHz, 1Go, WinXp) - 1h on a G5 bi-proc (2.5 Mhz, 2Go) A loop was used for the laptop, the same loop was transposed as function for the Mac Best regards Naji

Hi All, I am running R 2.2.0 on Mac OS 10.4.2, dual G5 processors with 8 Gig RAM. I am running a simulation with lsoda that requires ~378 s to complete one set of time intervals. I need to optimize the parameters, and so need to considerably speed up the simulation. I have tried to figure out how to change the appropriate memory allocation and have search R help and Introductory