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Data:
34.74 34.89 34.98 34.93 35.01 35.03 35.03 34.98 34.92 35.04 35.21 35.21 35.21 35.26 35.45 35.53 35.53 35.57 35.57 35.57 35.63 35.92 36.05 36.1 36.1 36.02 36.07 36.17 36.52 36.49 36.49 36.48 36.62 36.63 36.7 36.7 36.7 36.69 36.86 36.85 36.83 36.88 36.88 36.92 36.93 37.06 37.1 37.09 37.09 37.15 37.27 37.43 37.42 37.4 37.4 37.39 37.42 37.7 37.85 37.88
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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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