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Data:
158.8 157.63 157.8 156.77 156.57 157.33 157.26 157.49 157.68 158.23 158.04 158.17 158.18 159.71 158.7 158.5 158.15 157.69 157.69 158.2 159.25 158.71 158.75 158.75 158.03 157.88 157.47 157.06 156.8 156.76 156.75 156.66 155.92 156.1 156.43 157.39 157.39 157.55 157.75 156.79 156.24 156.8 156.8 156.2 155.25 154.81 154.94 154.97 154.93 149.62 148.6 146.27 145.87 144.23 144.23 142.22 138.85 138.54 137.64 137.38 137.38 136.1 133.58 132.72 130.59 129.23 129.22 126.62 125.83 125.54 125.55 125.53
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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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