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Data:
4.8 4.81 5.16 5.26 5.29 5.29 5.29 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.35 5.44 5.47 5.47 5.48 5.48 5.48 5.48 5.48 5.48 5.48 5.5 5.55 5.57 5.58 5.58 5.58 5.59 5.59 5.59 5.55 5.61 5.61 5.61 5.63 5.69 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.7 5.71 5.74 5.77 5.79 5.79 5.8 5.8 5.8 5.8 5.8 5.81 5.81 5.83 5.94 5.98 5.99 6 6.02 6.02 6.02 6.02 6.02 6.02 6.02 6.04 6.06 6.06 6.07 6.14 6.19 6.2 6.22 6.22
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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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