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Data:
23.9 24.06 24.33 24.39 24.39 24.49 24.83 25.08 25.11 25.13 25.17 25.11 25.35 25.36 25.35 25.34 25.39 25.58 25.71 25.66 25.74 25.73 25.72 25.55 25.71 25.92 25.93 26 26.02 26.08 26.17 26.18 26.21 26.28 26.34 26.17 26.38 26.36 26.27 26.26 26.49 26.99 27.14 27.1 27.01 26.93 26.97 26.35 26.93 26.92 27.05 27.01 26.9 26.93 26.95 26.89 26.7 26.55 26.48 25.71 26.17 26.31 26.58 26.49 26.57 26.6 26.69 26.59 26.75 26.79 26.8 26.62
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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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