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Data:
86.37 86.84 86.73 90.99 92.61 93.83 94.2 94.01 93.47 93.27 94.3 94.53 94.59 94.69 94.67 96.55 97.14 97.32 97.97 98.49 99.11 99.09 98.76 99.2 99.61 99.54 99.68 100.75 100.38 100.79 100.39 100.39 100.12 100 99.17 99.17 99.59 99.96 99.68 101.03 100.99 101.38 101.84 101.52 101.37 101.22 101.45 101.99 104.05 104.61 105.06 105.4 104.71 104.8 104.83 104.81 104.49 104.59 104.5 104.61
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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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