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Data:
8.27 8.25 8.22 8.21 8.12 8.16 8.15 8.1 8.09 8.02 8.03 7.98 7.95 7.92 7.96 7.96 7.94 7.83 7.77 7.8 7.78 7.78 7.8 7.81 7.95 8.02 7.99 8.01 8.03 8.05 8.05 8.06 8.07 7.99 8 8.01 8 8.09 8.1 8.12 8.29 8.32 8.36 8.38 8.48 8.45 8.41 8.38 8.38 8.34 8.41 8.34 8.22 8.27 8.18 8.19 8.19 8.13 8.06 7.99 8 7.98 7.92 7.93 7.9 7.86 7.88 7.88 7.93 7.91 7.89 7.93
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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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