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Data:
99.57 98.97 99 98.88 98.9 98.92 98.8 98.83 98.88 98.88 98.89 98.89 99.05 99.2 99.13 98.92 98.98 98.99 99.08 99.1 99.1 99.06 99.05 99.11 99.75 99.8 99.95 99.69 99.55 99.14 99.05 99 99.03 99.16 99.01 99 99.9 100.18 100.2 100.13 99.85 99.88 99.88 99.89 99.96 100.05 100.04 100.06 99.72 99.7 99.63 99.73 99.77 99.76 99.61 99.61 99.59 99.42 99.52 99.46 100.55 100.4 100.15 100.2 100.16 100.19 100.23 100.08 100.15 100.13 100.26 100.24
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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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