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Data:
38.95 38.96 38.93 38.86 38.75 38.87 38.87 38.86 38.83 39.08 39.05 38.97 38.97 38.95 38.95 38.92 38.96 38.97 38.97 38.95 38.93 38.76 38.81 38.81 38.81 38.78 38.77 38.61 38.69 38.69 38.68 38.74 38.73 38.62 38.57 38.57 38.57 38.57 38.56 38.55 38.42 38.47 38.47 38.48 38.45 38.43 38.43 38.48 38.48 38.48 38.51 38.48 38.55 38.55 38.55 38.49 38.37 38.14 38.08 38.04 38.04 38.03 37.98 38.03 38.05 38.05 38.05 38.05 38.02 38.06 38.01 38 38 38 37.99 37.96 37.96 38.02 38.02 38.02 38 37.93 38 38 38 38 38 38.01 37.98 38 38 38 37.95 37.87 37.75 37.75
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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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