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Data:
7.72 7.67 7.84 7.79 7.83 7.94 8.02 8.06 8.12 8.13 7.97 8.01 8 7.9 7.99 8.02 8.08 8.02 8.07 8.11 8.19 8.16 8.08 8.22 8.15 8.19 8.31 8.3 8.34 8.31 8.38 8.34 8.44 8.64 8.6 8.61 8.54 8.69 8.73 8.91 9.01 9.08 8.94 9.03 9.02 8.96 9.03 8.94 8.95 8.95 8.99 8.93 8.98 8.95 9.02 8.92 9.1 9.06 8.97 8.89 8.99 8.79 8.83 8.61 8.71 8.91 8.91 8.89 8.98 9 8.99 8.88
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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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