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Data:
77.5 77.7 76.6 77 76.5 77.6 77.8 76.9 76.9 77 77 76.3 76.5 77.1 76.4 75.4 75.4 75.5 75.5 75.8 75.7 75.9 76.1 76 76 75.89 74.87 74.9 74.79 74.64 74.09 74.33 73.93 73.78 72.85 71.51 71.5 71.5 71.31 70.85 70.62 70.07 68.83 68.82 68.4 68.21 67.75 67.7 67.42 66.27 64.8 62.69 62.75 62.31 62.4 61.75 61.69 60.39 59.9 59.62 58.97 58.54 58.32 56.03 53.63 53.61 53.48 53.48 52.81 52.8 52.57 52.36
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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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