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Data:
75.9 76.9 77.9 78.9 79.9 80.9 81.9 82.9 83.9 84.9 85.9 86.9 87.9 88.9 89.9 90.9 91.9 92.9 93.9 94.9 95.9 96.9 97.9 98.9 99.9 100.9 101.9 102.9 103.9 104.9 105.9 106.9 107.9 108.9 109.9 110.9 111.9 112.9 113.9 114.9 115.9 116.9 117.9 118.9 119.9 120.9 121.9 122.9 123.9 124.9 125.9 126.9 127.9 128.9 129.9 130.9 131.9 132.9 133.9 134.9 135.9 136.9 137.9 138.9 139.9 140.9 141.9 142.9 143.9 144.9 145.9 146.9
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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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