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Data:
92.3 97.1 117.61 104.42 101.88 117.54 105.34 96.77 116.43 113.33 110.76 100.95 105.91 110.2 125.05 108.98 119.11 113.7 107.45 97.48 110.56 108.74 107.71 101.05 104.0 110.56 120.88 106.09 109.18 111.06 106.16 98.24 103.53 113.3 107.86 95.34 103.23 103.12 113.77 111.83 112.12 108.57 114.31 93.22 112.42 119.31 109.95 103.21 109.16 108.58 114.71 116.04 110.69 113.46 113.98 93.73 118.97 117.69 104.42 101.11
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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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