search for: mfit

...# (for debugging) //********************************************************************** void doInit(MachineFunction &Fn) { // iterate over all basic blocks, all instructions in a block, // all operands in an instruction int insNum = 1; for (MachineFunction::iterator MFIt = Fn.begin(), MFendIt = Fn.end(); MFIt != MFendIt; MFIt++) { for (MachineBasicBlock::iterator MBBIt = MFIt->begin(), MBBendIt = MFIt->end(); MBBIt != MBBendIt; MBBIt++) { //*MBBIt is a MachineInstr InstrToNumMap[MBBIt] = insNum; insNum++; } // end iterate over all instructions...

Hey, So I have a scatter plot and I am trying to plot a curve to fit the data based on a Holling Type III functional response. My function is this: nll2<-function(a,b) { conefun<-(a*DBH^2)/(b^2+DBH^2) nlls2<-dnbinom(x=cones ,size=DBH, mu=conefun,log=TRUE) -sum(nlls) } and my plot is this: plot (DBH,cones) DBH is on the x-axis and cones is on the y-axis. How do I get the curve

Hi Susan, In x86-64 the REX prefix must be used to access an extended register (r8-r15 and their aliases), but cannot be used when accessing the high byte of the ABCD regs (AH, BH, CH, DH). In your test case you have hardcoded %vreg1 to R8B, and %vreg15 to AH, and the test case contains a copy between these registers. The copy simultaneously must have a REX prefix, and cannot have a REX prefix,

...ata.df,xlim,ylim,XLAB,ylab) { require('lattice') frame( ) print(summary(data.df)) #plot(y=data.df$Mobs[data.df$year.f=="2004"], x=data.df$Mage.r[data.df$year.f=="2004"], # xlab = XLAB, ylab = ylab, ylim=ylim, xlim=xlim, type='p') xyplot(data.df$Mobs+data.df$Mfit ~ data.df$Mage.r | data.df$year.f, type=c("p","l"),pch=c("o","e"),cex=1.3, xlab = XLAB, ylab = ylab, ylim=ylim, xlim=xlim) } ___________________________________________________________________________ Australian Antarctic Division - Commonwealth of...

R 1.4.0 is now sinking into feature freeze, and we'd like some help testing it under Windows. Duncan Murdoch and Uwe Ligges have already volunteered. I've put a copy of SetupR140.exe at http://www.stats.ox.ac.uk/pub/bdr/RWin Also in that directory is a file TESTING suggesting some tests, not all of which have been run on this build. As the graphics internals have been changed a lot

Hello, I want to know if there are some functions or packages to solve differential and integral equation using R. Thanks. Shao chunxuan. [[alternative HTML version deleted]]

...oContext.mPrimitiveMap["X"]->setValue(&inX[j]); double lResult = 0.0; ioPopulation[i].interpret(&lResult, ioContext); double lErr = lResult - inF[j]; lQuadErr += (lErr * lErr); } double lRMS = std::sqrt(lQuadErr / inX.size()); ioPopulation[i].mFitness = 1. / (1. + lRMS); ioPopulation[i].mValid = true; ++lNbrEval; } return lNbrEval; } } //End Extern !!!!!!!!C-Register code (to register the C++ routines into the R libraries): #include <R.h> #include <Rinternals.h> #include <R_ext/Rdynload.h> void RSymbReg(SEXP...