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Data:
4.43 4.43 4.44 4.44 4.44 4.45 4.47 4.48 4.48 4.5 4.52 4.52 4.53 4.53 4.63 4.66 4.67 4.68 4.69 4.69 4.7 4.71 4.72 4.72 4.72 4.73 4.74 4.76 4.81 4.82 4.83 4.83 4.84 4.89 4.92 4.95 4.95 5.01 5.05 5.08 5.11 5.14 5.17 5.18 5.2 5.22 5.24 5.28 5.29 5.33 5.4 5.43 5.46 5.46 5.46 5.47 5.49 5.5 5.54 5.55 5.55 5.56 5.6 5.61 5.63 5.64 5.66 5.67 5.69 5.77 5.77 5.78 5.8 5.82 5.85 5.87 5.88 5.9 5.91 5.94 5.97 5.98 6 6.01 6.02
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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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