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Data:
98.91 98.15 98.59 98.6 98.7 98.33 98.33 98.6 98.52 99.17 99.49 98.83 98.83 97.39 99.28 98.78 98.75 98.47 98.47 97.82 97.79 97.96 98.21 98.34 98.34 98.49 98.14 98.05 97.77 97.59 97.59 97.67 97.67 97.36 97.31 97.24 97.24 96.89 96.48 96.47 97.13 97.21 97.43 97.98 97.97 98.2 98.67 98.75 98.77 98.72 99.23 99.67 99.76 99.57 99.57 100.21 100.62 101.05 101.42 101.42 101.52 101.87 101.53 101.77 101.76 102.04 102.05 101.9 102.17 102.14 102.09 102.27
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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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