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Data:
7.14 7.11 7.21 7.25 7.25 7.45 7.45 7.49 7.47 7.49 7.47 7.51 7.52 7.5 7.54 7.54 7.57 7.53 7.54 7.63 7.61 7.64 7.68 7.7 7.72 7.71 7.77 7.83 7.85 7.89 8.01 8.18 8.25 8.31 8.34 8.38 8.36 8.34 8.34 8.3 8.35 8.36 8.34 8.39 8.23 8.14 8.04 8.05 7.99 8.17 8.22 8.12 8.11 8.12 8.11 8.03 8.03 7.96 7.96 7.87 7.9 7.87 7.94 7.82 7.83 7.86 7.81 7.76 7.75 7.75 7.74 7.72
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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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