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...d from normality, you should then apply a suitable transformation and repeat the analysis. I strongly adivice you to have a look at the book Biometry, by Robert R. Sokal and F. James Rohlf (1996), there are quite good examples in there and where and what transformations should be applied, specially trasnforming data from a poisson-like distribution to a normal one. Hope this helps. acovaleda at hotpop.com wrote: > Hi Sirs and Madams. > > My question is more statistical than related with the use of R software and I > hope it will not seems so silly and elemental. I'm analyzing a s...

Juan Carlos Martinez Santos wrote: > Hello LLVM, > > I am following the document "Writing an LLVM Pass". When I ran "opt > -load ../../../Debug/lib/MyPass.so -mypass < hello.bc > /dev/null" I > got the next error: > > ***@ubuntu:~/test$ opt -load ../../llvm/Debug/lib/MyPass.so -mypass < > hello.bc > /dev/null > opt: Pass.cpp:159:

Hello LLVM, I am following the document "Writing an LLVM Pass". When I ran "opt -load ../../../Debug/lib/MyPass.so -mypass < hello.bc > /dev/null" I got the next error: ***@ubuntu:~/test$ opt -load ../../llvm/Debug/lib/MyPass.so -mypass < hello.bc > /dev/null opt: Pass.cpp:159: void<unnamed>::PassRegistrar::RegisterPass(const llvm::PassInfo&): Assertion