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Data:
97.91 98.51 98.54 98.52 98.66 98.53 98.71 98.92 98.96 99.25 99.32 99.41 99.36 99.58 99.77 99.77 100.03 100.2 100.24 100.1 100.03 100.18 100.29 100.41 100.6 100.75 100.79 100.44 100.29 100.34 100.46 100.12 100.06 100.28 100.28 100.4 100.61 100.89 100.73 101.12 101.16 101.33 101.37 101.61 101.85 102.27 102.28 102.23 102.42 102.53 103.47 103.53 103.77 103.74 103.93 103.97 103.68 103.86 103.97 104.05
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R Code
par3 <- '0.01' par2 <- '0.99' par1 <- '0.01' 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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