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Data:
23.97 23.81 24.23 25.66 26.79 27.82 28.67 29.44 30.59 30.88 30.88 30.16 30.40 30.97 31.84 31.97 32.02 32.47 33.50 34.99 36.25 37.07 36.72 35.72 33.59 34.82 36.27 37.07 38.43 38.78 39.37 40.66 41.08 39.72 41.85 42.89 42.28 41.86 38.59 39.49 40.76 37.77 38.01 35.66 34.71 34.53 36.50 36.10 33.37 28.99 29.30 28.76 21.63 20.10 18.82 19.42 18.59 17.25 19.36 21.40 21.23
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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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