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11462 11462 11778 11778 11778 12093 12093 12760 13427 13427 13742 14058 14404 14724 14724 14724 15387 15707 16022 16369 17004 17351 17666 17982 18649 18964 19315 19631 19631 19946 20613 20929 22893 23555 23871 24222 24222 24853 24853 24853 25520 26186 26502 27164 27164 27164 27164 27800 27800 28462 28462 29129 29764 30111 30111 30111 30111 30426 30426 30426 30742 30742 31409 31409 31724 31724 32391 32391 32391 32391 32706 33053 33053 33373 33373 33689 33689 34035 34355 34355 34355 34355 35017 35333 35333 35653 35653 35653 36000 36315 36315 36631 36982 37297 37297 37964 37964 38280 38595 38595 38946 39262 39262 39924 39924 40244 40244 40560 40560 40906 41222 41542 41542 42871 44168 44835 47431 48413 50057 51355
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R Code
par1 <- as(par1,'numeric') par2 <- as(par2,'numeric') par3 <- as(par3,'numeric') library(Hmisc) myseq <- seq(par1, par2, par3) hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE) bitmap(file='test1.png') plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'quantiles',header=TRUE) a<-table.element(a,'value',header=TRUE) a<-table.element(a,'standard error',header=TRUE) a<-table.row.end(a) length(hd) for (i in 1:length(hd)) { a<-table.row.start(a) a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE) a<-table.element(a,as.matrix(hd[i])[1,1]) a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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