search for: outvec

...estion about drawing random numbers from many categorical distributions. Consider n individuals, each follows a categorical distribution defined over k categories. Consider a simple case in which n=4, k=3 as below catDisMat <- rbind(c(0.1,0.2,0.7),c(0.2,0.2,0.6),c(0.1,0.2,0.7),c(0.1,0.2,0.7)) outVec <- rep(NA,nrow(catDisMat)) for (i in 1:nrow(catDisMat)){ outVec[i] <- sample(1:3,1, prob=catDisMat[i,], replace = TRUE) } I can think of one way to potentially speed it up (in reality, my n is very large, so speed matters). The approach above only samples 1 value each time. I could have samp...

...o_main .o g++ -shared -s -static-libgcc -o FirstPack.dll tmp.def XDemo.o XDemo_main.o -Lc: /R/R-2.12.0/bin/i386 -lR installing to c:/R/R-2.12.0/library/FirstPack/libs/i386 ** R ** data Warning: empty 'data' directory ** preparing package for lazy loading Error in .C("DemoAutoCor", OutVec = as.double(vector("numeric", OutLength)), : C symbol name "DemoAutoCor" not in load table ERROR: lazy loading failed for package 'FirstPack' * removing 'c:/R/R-2.12.0/library/FirstPack' Here is how i built the package. I have the directory structure as descr...

How can I compute a power analysis on a multi-factor within-subjects design?

...o_main .o g++ -shared -s -static-libgcc -o FirstPack.dll tmp.def XDemo.o XDemo_main.o -Lc: /R/R-2.12.0/bin/i386 -lR installing to c:/R/R-2.12.0/library/FirstPack/libs/i386 ** R ** data Warning: empty 'data' directory ** preparing package for lazy loading Error in .C("DemoAutoCor", OutVec = as.double(vector("numeric", OutLength)), : C symbol name "DemoAutoCor" not in load table ERROR: lazy loading failed for package 'FirstPack' * removing 'c:/R/R-2.12.0/library/FirstPack' Here is how i built the package. I have the directory structure as descri...