similar to: check warning with .onLoad() and setClass()

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Dear useRs, a new and completely re-worked version of the "simecol" package SIMulatiion of ECOLogical (and other) dynamic systems is now available on CRAN. Compared to the S3 based 0.2-x versions an improved object model using S4 classes was employed. Please ask me for assistance in case of incompatibility. Comments are welcome, Thomas Petzoldt

Dear useRs, a new and completely re-worked version of the "simecol" package SIMulatiion of ECOLogical (and other) dynamic systems is now available on CRAN. Compared to the S3 based 0.2-x versions an improved object model using S4 classes was employed. Please ask me for assistance in case of incompatibility. Comments are welcome, Thomas Petzoldt

Hi Team, I am migrating one of the Pass that was written for llvm2.2 or older to llvm3.1. The code snippet looks like the following: Constant *func; void add( Module *M) { func = M->getOrInsertFunction("func", Type::getVoidTy(M->getContext()), NULL); } virtual bool runOnModule(Module &M) { add (&M); for(Module::iterator F = M.begin(), E = M.end(); F !=

Hi Ahmad, On 03/01/13 16:26, Hassan, Ahmad wrote: > Hi Team, > > I am migrating one of the Pass that was written for llvm2.2 or older to llvm3.1. > The code snippet looks like the following: > > Constant *func; > > void add( Module *M) { > > func = M->getOrInsertFunction("func", Type::getVoidTy(M->getContext()), NULL); this function has no

Hi I would like to know how I can change the name of a model for each trainning cycle of a model. I work with the RSNNS package and to build a neural network, I used : for (i in 5:30) .... model_ANN <- mlp(X, Y, size=n,....) # where size is the number of neurons in the hidden layer but I need to save each time that the model that is build (the end of each cycle), e.g., when i = 5, I need to

Hi I want to create a new generic method, but I end up with an error (evaluation nested too deeply). see the transcript below. The function beginYear.Fun() works, but not beginYear. I have no idea why. Any ideas welcome, Rainer > setClass("fun", representation(x = "numeric")) [1] "fun" > new("fun") An object of class ?fun? Slot "x":

Hey, I am having troubles using the 'predict' function with in the Raster package. I am using pm<-predict(mm, predictors) where mm is the mahalanobis distance and the predictors are a stack of 6 raster layers containing environmental variables. When I try to run the prediction I get the following warning message: Warning message: In layerNames(x): the layerNames function is