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Data:
79.21 79.08 79.88 80.57 80.9 80.89 80.61 80.98 81.68 83.28 83.94 89.25 95.3 97.68 98.53 98.32 97.02 90.13 88.49 88.07 87.17 86.1 86.59 85.89 85.82 86.68 86.3 86.32 85.61 85.52 85.97 86.6 86.78 84.98 85.21 86.39 88.39 88.83 95.76 100.98 102.56 102.92 104.35 105.07 105.41 105.06 104.33 104.61 104.78 104.38 104.08 103.4 101.72 100.1 100.37 96.27 95.28 95.85 96.76 97 96.71 96.97 96.97 98.01 99.18 99.51 99.16 99.4 97.59 96.71 96.56 96.42
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R Code
par3 <- '0.1' par2 <- '0.9' par1 <- '0.1' 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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