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Data:
92.8 90.61 88.49 88.33 87.7 87.33 87.33 87.33 85.47 86.1 86.1 86.13 83.31 83.31 83.55 84.11 84.11 77.59 77.59 76.44 72.71 72.9 72.39 72.46 72.48 72.48 72.48 72.3 72.3 72.3 71.14 71.14 68.99 68.42 68.42 69.28 65.22 70.21 70.21 71.2 68.94 68.94 68.93 68.93 68.93 68.93 59.94 61.04 60.2 60.2 60.12 60.25 58.03 62.37 62.16 62.16 62.16 62.16 62.29 64.39
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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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