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Data:
27.88 28.06 28.08 28.12 28.11 28.18 28.2 28.37 28.64 28.75 28.97 29.08 29.16 29.24 29.36 29.35 29.43 29.49 29.61 29.66 29.75 29.74 29.97 30.02 30.09 30.16 30.33 30.41 30.44 30.45 30.46 30.51 30.54 30.82 30.88 30.89 31.13 31.41 31.47 31.56 31.62 31.65 31.79 31.98 32.14 32.32 32.5 32.55 32.66 32.68 32.72 32.8 32.93 32.96 32.98 33.09 33.46 33.65 33.82 33.83 33.92 33.87 34.03 34.11 34.29 34.44 34.64 34.77 35.01 35.19 35.32 35.35
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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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