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Data:
89.8 101.7 92.7 116.2 134.2 153.3 129.7 137.6 158.8 197.1 171.1 184.4 216.6 219.3 184.2 205.3 216.8 219.4 172.1 165.3 178.9 163 116.2 121.8 124.1 125.7 81.8 94.8 121.5 136.3 109.6 120.7 154.1 154.4 153.3 157.3 192.1 223 220.6 221.7 239.2 251.2 238.3 240.6 250.3 256.7 239.2 189.9 155.9 138.4 124.7 119.4 116 124.9 123.4 124.4 135.5 143.6 130.6 116.6 118.2 116.1 106 94.9 97.1 96.8 93.7 91 105.7 112.9 112.1 112.9 127 136.5 130.9 136.3
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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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