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Data:
100.18 99.73 99.69 99.45 99.47 99.56 99.54 99.87 99.73 99.86 99.91 99.91 99.91 99.87 99.77 100.14 100.04 100.11 100.13 100.22 100.59 100.25 99.94 99.85 99.85 99.85 100.15 100.34 100.72 100.61 100.61 100.52 100.64 100.57 100.16 100.2 100.2 99.99 99.69 99.85 99.54 99.67 99.72 99.74 99.97 100.29 100.57 100.77 100.3 100.32 100.32 100.37 100.47 100.68 100.7 100.62 100.52 100.62 100.52 100.57 100.59 100.59 100.56 100.44 100.39 100.51 100.4 100.45 100.42 100.38 100.25 100.34
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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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