search for: xsamp

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2008 Aug 01
2
contour lines in windows device but neither in pdf nor in postscript
library(mvtnorm) x = seq(-4,4,length=201) xy = expand.grid(x,x) sigma = (diag(c(1,1))+1)/2 d2 = matrix(dmvnorm(xy,sigma=sigma),201) xsamp = rmvnorm(200,sigma=sigma) contour(x,x,d2) points(xsamp,col=3,pch=16) pdf("pdftry.pdf") contour(x,x,d2) points(xsamp,col=3,pch=16) dev.off() postscript("pstry.ps") contour(x,x,d2) points(xsamp,col=3,pch=16) dev.off() # I can see contour lines in a window device but I can'...
2006 Dec 25
2
Problem to generate training data set and test data set
I have a full data set like this: aa bas aas bms ams bcu acu omega y 1 ALA 0 127.71 0 69.99 0 -0.2498560 79.91470 outward 2 PRO 0 68.55 0 55.44 0 -0.0949008 76.60380 outward 3 ALA 0 52.72 0 47.82 0 -0.0396550 52.19970 outward 4 PHE 0 22.62 0 31.21 0 0.1270330 169.52500 inward 5 SER 0 71.32 0 52.84 0 -0.1312380 7.47528 outward 6
2006 Dec 26
1
Colored Dendrogram
...; > and 25% of observation of each levels to generate a testing set. > > > Hi Aimin, > I haven't tested this exhaustively, but I think it does what you want. > > get.prob.sample<-function(x,prob=0.5) { > xlevels<-levels(as.factor(x)) > xlength<-length(x) > xsamp<-rep(FALSE,xlength) > for(i in xlevels) { > lengthi<-length(x[x == i]) > xsamp[sample(which(x == i),lengthi*prob)]<-TRUE > } > return(xsamp) > } > > get.prob.sample(mydata$aa,0.75) > > Jim > > > > ------------------------------ > > Messag...