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Data:
109.77 109.77 109.77 109.77 109.77 109.77 109.77 109.77 109.77 109.77 109.77 109.77 109.86 110.12 110.5 113.73 119.84 119.83 113.06 112.45 110.07 110.09 110.72 109.9 109.9 110.06 110.52 116.16 118.54 118.77 113.71 106.98 106.98 106.98 106.98 106.98 106.98 107.43 107.93 111.99 115.4 115.53 115.22 102.75 102.75 102.75 102.75 102.75 102.75 102.87 103.13 108.52 111.6 111.32 108.77 100.05 100.05 100.05 100.05 100.05 100.05 100.07 100.07 109.26 110 110 109.26 99.42 99.42 99.42 99.42 99.42
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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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