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Data:
79.26 79.38 79.35 78.91 79.11 79.22 79.22 79.21 79.26 79.82 80.04 80.2 80.2 80.27 80.37 80.57 79.99 79.86 79.86 79.81 79.88 80.2 80.53 80.52 80.52 80.48 80.29 79.54 79.39 79.3 79.3 79.49 79.63 79.74 80.17 80.06 80.06 80.22 80.5 80.58 80.24 80.34 80.34 80.41 80.59 80.77 80.94 80.8 80.8 80.76 80.94 81.03 81.35 81.41 81.41 81.44 81.55 81.8 81.97 81.99 79.36 79.44 79.46 79.77 79.49 79.42 80.32 80.48 80.6 80.53 80.84 80.68
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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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