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Data:
99.6 96.1 109.0 99.5 104.6 99.9 94.1 105.3 110.4 110.5 110.0 108.5 101.5 99.0 106.2 97.6 103.7 103.4 99.9 105.0 103.4 117.8 110.6 102.0 105.1 98.5 104.4 103.9 105.8 100.3 106.3 101.4 104.3 114.6 105.0 103.4 102.9 96.4 102.6 104.7 100.8 102.1 101.1 98.1 109.2 114.4 104.0 107.2 101.3 98.1 109.6 105.9 99.5 109.9 105.3 102.5 111.9 118.0 112.1 113.8
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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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