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Data:
79.49 79.69 79.86 79.87 79.83 79.83 79.83 79.37 79.53 79.78 79.94 79.97 79.97 79.98 80.25 80.38 80.13 80.15 80.15 80.18 80.47 80.83 80.62 80.66 80.66 80.67 80.8 81.04 81.24 81.26 81.26 81.47 81.94 82.83 82.29 82.32 82.32 82.3 82.54 82.54 82.62 82.63 82.63 82.63 82.71 83.25 83.14 83.34 83.34 83.37 83.33 83.26 83.66 83.64 83.64 83.71 83.87 84.17 84.35 84.44 84.44 84.45 84.67 84.95 84.89 84.93 84.93 84.93 85.45 85.77 85.79 85.9
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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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