search for: modelise

...I think I am doing: //define an instruction profile with zero results, //2 inputs which are of the same type (int) def NOResSDTIntBinOp : SDTypeProfile<0, 2, [ SDTCisSameAs<0, 1>, SDTCisInt<0> ]>; //define a node using that profile with a OutFlag //property (which is a way to modelise e.g. HW internal CC registers?) def MYcmpicc : SDNode<"MYISD::CMPICC", NOResSDTIntBinOp, [SDNPOutFlag]>; //define the instruction def MYcmp : InstMYArch<(outs), (ins IntRegs:$src1, IntRegs:$src2), "cmp $src1 $src2;",...

...like to test a non linear model. But I do not find exactly wath I am looking for in nls packages (or I do not know where to search). I would like to try a model like this : y=b * x exp(n)/(a exp(n) + x exp (n)) Where a = a0 + a1z b= b0 + b1z x and z are variables y the variable that I am trying to modelise a0, a1, b0 and b1 are parameters to determine. I am wondering if I can use nls and if so how do I have to write my command ? Thanks in advance for your help. Cyrille Barn??rias Adjoint au chef d'??chelon interr??gional de Caen Inventaire forestier national 73 rue Marie Curie 14 200 H??rouville...

Hi, The function help.start() assume that the brower is netscape which is no longer the dominant brower in used. I am using now opera and other use mozilla or Microsoft IE. I can always type help.start(browser="opera"), but it is not convenience: I would like to be able to set the default brwsernone for all. But the real bug is that even after launching

I know it is possible to use the character "#" to comment lines in script files. Is it possible to give an argument (just like skip) to the fuction read.table to avoid reading commented lines in data files. I want to use this function to read a table in a data file like this #------------------------------- x y z #my data begin here 1 2 3 12 3 4 1 0 1 # no comment !!! 2 3 5

...instruction profile with zero results, > //2 inputs which are of the same type (int) > def NOResSDTIntBinOp : SDTypeProfile<0, 2, [ > SDTCisSameAs<0, 1>, SDTCisInt<0> > ]>; > > //define a node using that profile with a OutFlag > //property (which is a way to modelise e.g. HW internal CC registers?) > def MYcmpicc : SDNode<"MYISD::CMPICC", NOResSDTIntBinOp, > [SDNPOutFlag]>; > > > //define the instruction > def MYcmp : InstMYArch<(outs), (ins IntRegs:$src1, IntRegs:$src2), > "cmp $src1 $src2...

I would like to import "tif" images in R and I do not find any function that can do that. In Matlab there exists the function "imread" that can read the most known images format. Does a similar function exist for R ? Thanks in advance -- Herve CARDOT ____________________________________________________________ Unite Biometrie et Intelligence Artificielle, INRA Toulouse BP

...ar carriyng capacity of the stock St the fish stock of each period t * the production function Ht(St, Xt) = alpha*St*Xt Ht the catch for each period t Xt fishing effort for each period t alpha parameter of boat productivity * the dynamic of the fish stock S(t+1) = S(t) + Gt - Ht I would like to modelise the following system: S_(t+1) = S_t + G_t - H_t G_t = r*S_t*(1-S_t / sbar) H_t = alpha * S_t * X_t S_1961 = S_0 I know only H_t on period (1961 - 1994) and X_t on the same period. I don't know r, sbar, alpha and S_0 (the initial level of the stock) (and of course S_t on this period) and I wan...

Dear R-users, I have written the following code to generate some trellis plots. It works perfectly fine except that it is quite slow when it is apply to my typical datasets (over several thousands of lines). I believe the problem comes from the loops I am using to subset my data.frame. I read in the archives that the tapply function is often more efficient than a loop in R. Unfortunately ,

...lity setting (-15Ko, exp), I have increased the quantization for this other setting, and I start to remove higher wavelet coefficients, but this is not optimal... The artifacts start to be noticeable for some images at -l3 setting (even if the neatness would be still good...), really need to better modelise the wavelet coefficients (and/or predict them) for the other lower settings (and -l3) at first. Will certainly have to look at SPIHT and EZW algorithms.But just a very quick question, as far as I have seen, all the codecs that use prediction (intra block prediction or frequency domain prediction),...

.... It is quite efficient (compared to other classical methods) for reducing the size of histograms (my first intent) but also DCT, FFT, Huffman tables ... It is a low complexity (add/sub, shift, masks ...) code that works well on small datasets that have some kind of correllation that is not easily modelised. Depending on the type of data (large variance and grouped chunks), it can be used to compress/pack as little as 4 or 8 values, sometimes beating Rice and Huffman codes. It requires O(N) temporary storage for compression (usually N plus a stack in log2(N)), and it can be modified for in-place dec...

Dear, At the request of a number of potential contributors, we have decided to extend the deadline for receipt of papers to be presented to The 6th International Conference: Sciences of Electronics, Technologies of Information and Telecommunications SETIT 2011. This deadline is extended to December 31, 2010. This conference will be held in Tunisia, 23-26 March 2011. The paper submission is

Invitation Dear We would like to invite you to join us for the 5th International Conference named Sciences of Electronics, Technologies of Information and Telecommunications SETIT 2009 which will be held in Hammamet-Tunisia from 22 to 26 March 2009. As you know, this International Conference is under the supervision of Professor Lazhar BOUOUNI, the Tunisian Minister of Higher Education and

Hello everyone, I am searching for a covariate selection procedure in a cox model formulated as a counting process. I use intervals, my formula looks like coxph(Surv(start,stop,status)~ x1+x2+...+cluster(id),robust=T) where id is a country code (I study occurence of civil wars from 1962 to 1997). I'd like something not based on p-values, since they have several flaws for this purpose. I turned