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Data:
68.98 68.88 68.88 68.88 68.88 68.64 68.61 68.61 68.61 68.58 68.75 68.54 68.5 68.47 68.47 68.47 68.59 68.32 67.86 67.91 67.91 68.05 68.15 68.25 68.25 68.31 68.31 69.65 69.65 70.18 70.08 70.08 70.09 70.04 70.14 70.26 70.23 70.54 70.54 70.57 70.61 70.63 70.45 70.4 70.4 70.33 70.51 70.45 70.39 70.59 70.59 70.32 70.94 70.44 70.57 70.61 70.61 70.68 69.96 70.11 70.22 70.49 70.49 70.58 70.85 70.69 70.7 70.7 70.7 70.67 70.64 70.98 70.75 70.88 70.88 70.92 70.89 71.02 71.01 71.02
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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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