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Data:
83.8 86.62 83.98 82.59 82.3 81.64 81.66 81.63 85.54 85.62 85.89 86.38 87.59 87.68 88.07 87.66 88.36 88.08 94.35 99.07 100.39 102.1 102.89 103.05 102.78 102.53 101.6 100.78 100.54 100.19 100.07 100.18 100.08 99.66 99.92 99.51 101.77 102.49 101.91 100.57 100.23 99.99 99.2 99.07 98.79 99.31 98.98 97.69 98.9 98.75 99.7 100.18 100.14 100.13 99.85 99.38 98.87 97.79 97.32 97.29 96.73 97.22 96.66 96.58 96.47 96.7 97.91 97.97 98.26 97.8 97.33 97.56
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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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