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Data:
127.87 127.94 122.44 120.25 118.13 114.93 112.57 110.81 109.02 106.39 103.75 102.60 101.63 100.00 97.98 96.56 94.32 91.79 89.61 86.83 83.94 81.41 80.47 79.24 78.23 74.60 70.14 65.15 59.92 55.67 52.20 49.97 47.83 44.66 40.91 36.28 32.20 30.10 28.55 27.36 26.33 25.38 24.69 24.01 23.05 22.15 21.26 20.81 20.52 20.32 20.26 20.02 19.76 19.15 18.63 18.73 18.48 18.53 18.37 16.80 16.94 17.21 15.26 14.99 15.80 4.71 4.65 4.50
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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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