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Data:
94.94 96.24 95.77 94.41 95.09 95.37 95.17 95.05 95.33 95.42 95.95 96.12 96.94 98.73 98.03 97.42 98.39 98.77 98.46 98.3 98.25 98.33 98.61 98.99 98.8 100.26 100.85 98.87 99.81 100.44 100.07 99.8 99.77 99.9 100.58 100.86 101.05 101.3 101.45 101.13 101.38 101.03 100.79 100.84 101.17 101.36 101.14 101.24 100.98 102.23 99.96 101.43 101.72 101.51 101.29 101.55 101.6 101.88 102.11 102.24
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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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