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Data:
23.98 24.24 24.92 25.46 25.84 26.08 26.18 26.34 26.42 26.38 26.04 25.58 25.65 25.56 25.62 25.62 25.69 25.68 25.68 25.83 25.93 26.11 24.72 24.62 24.65 25.24 25.56 25.9 25.87 25.78 25.78 25.74 25.78 25.73 24.67 24.31 24.56 25 25.38 25.99 26.22 26.19 26.22 26.22 26.61 26.72 25.46 25.48 25.59 25.88 26 26.97 27.2 27.19 27.19 27.19 27.26 26.9 26.11 25.87 26.02 26.31 26.37 26.52 26.86 26.92 26.98 26.98 27.03 26.75 26.39 26.3 26.3 26.52 26.53 26.98 27.22 27.34 27.41 27.47 27.46 27.53 27.21 26.91 26.95 26.91 27.39 27.62 27.79 27.88 27.9 28.09 28.46 28.73 27.93 27.61 27.65 28.19 28.98 28.99 29.02 29 29.04 29.19 29.23 29.26 29.02 28.47 28.53 28.48 28.68 28.89 29.2 29.21 29.15 29.22 29.34 29.13 28.84 28.76
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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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