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Data:
115.43 115.55 117.14 119.09 119.55 119.8 121.32 121.48 119.63 118.61 118.82 119.93 118.7 119.99 116.67 116.84 115.17 114.21 114.77 115.59 116.64 118.79 125.63 127.42 131.17 137.68 144.41 146.09 151.26 156.56 158.38 154.21 158.06 154.83 150.89 149.22 148.34 143.88 134.48 133.73 130.08 123.11 122.08 126.83 123.17 123.82 125.6 126.32 129.15 130.09 133.81 136.83 138.34 138.67 137.86 138.56 141.65 142.42 143.12 146.17 147.8 151.87 157.12 158.97 161.4 165.81 165.1 164.64 167.88 167.14 169.83 169.71
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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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