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Data:
90.66 91.08 91.12 91.02 90.58 90.92 91.79 91.97 92.53 92.44 92.7 93.12 94.23 94.18 93.89 94.08 95.59 96.55 97.01 96.87 97.96 97.94 98.57 98.67 98.58 99.04 98.89 98.63 98.52 98.07 98.15 98.4 99.22 99.35 100.05 99.86 100.31 100.7 100.78 99.78 99.55 99.46 99.66 99.43 99.68 100.21 100.31 100.13 100.27 100.23 99.93 100.66 100.55 100.43 101.22 101.07 101.43 101.35 101.58 101.59 102.03 102.48 102.63 103.54 103.97 104.34 104.29 104.17 104.55 104.58 104.74 104.73
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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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