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Data:
9.24 9.29 9.39 9.42 9.42 9.43 9.5 9.53 9.58 9.58 9.6 9.61 9.65 9.71 9.78 9.79 9.84 9.87 9.9 9.95 9.96 9.98 10.01 10 10.03 10.05 10.06 10.09 10.24 10.23 10.27 10.28 10.29 10.44 10.51 10.52 10.57 10.62 10.71 10.73 10.74 10.75 10.79 10.81 10.87 10.92 10.95 10.94 10.97 10.99 11.04 11.09 11.12 11.11 11.14 11.2 11.25 11.3 11.31 11.31
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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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