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Data:
123.46 123.24 123.86 124.28 124.78 125.19 125.46 127.60 127.80 126.63 127.06 126.77 127.05 128.23 128.60 128.97 129.34 129.71 130.08 130.45 128.82 132.19 131.56 131.93 132.30 130.67 133.05 132.42 133.79 134.16 134.53 136.90 135.27 136.64 136.01 136.38 136.75 138.12 137.50 137.87 138.24 138.61 138.98 140.35 139.72 143.09 140.46 141.83 143.20 140.57 141.95 141.32 142.69 143.06 144.43 143.80 144.17 144.54 146.91 145.28 144.65 145.02 144.40 146.77 146.14 147.51 148.88 148.25 147.62 150.99 148.36 149.73 150.10
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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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