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Data:
143.7 149.3 121.7 81 68.1 92.3 107.7 114.4 98.6 106.7 73.9 85.9 118.4 144.2 118.4 82.6 68 99.8 93.4 107.9 101.1 100.4 76.7 89.1 105.3 124.8 111.9 89 88.6 84.5 91.1 118.1 103.6 92.6 70.2 70.2 114.3 125.3 98.9 65.4 66 71.2 84.6 102.6 91.8 97.4 64.1 62.3 96.2 104.9 90.3 65.2 57.8 70.5 93.2 74.2 91.1 85 58.9 68.3 98.1 110.5 77.6 55.1 49.8 58.5 86.5 88.8 94 65 52.2 70.9
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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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