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Data:
18.3 18.6 18.7 20.1 18.9 20.1 19.8 15.9 19.9 19.6 15.6 14.2 13.6 13.9 15 14.1 13.5 15.3 14.7 12.5 16.1 15.9 15.9 15.7 14.7 15.3 18.4 16.8 16.5 19.3 17.1 15.7 19.1 18.6 18.4 17.1 18.3 19.4 22.3 19.4 21.3 20.3 19.3 17.5 19.9 19.6 19.7 18.1 19.1 20.7 22.5 20 20.2 20.4 19.6 18.1 19.3 21 19.9 17.7 19.4 19.3 21.5 20.9 20.8 20.3 21.4 17.4 21.1 22 20.4 19
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R Code
par3 <- '0.1' par2 <- '0.9' par1 <- '0.1' 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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