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Data:
92.88 91.69 91.66 90.26 91.11 92.33 91.82 92.24 93.35 93.53 93.34 92.59 92.42 92.64 94.44 93.59 93.39 93.33 93.72 95.43 97.06 97.7 97.59 96.97 97.75 99.27 100.63 99.8 99.5 99.72 99.77 100.18 101.11 100.67 101.13 100.46 101.6 102.3 103.26 104.56 104.61 104.62 105.03 104.93 104.73 104.33 104.6 104.41 104.63 105.55 106.12 106.62 106.72 106.52 106.79 106.95 106.92 106.74 108.13 107.86
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R Code
par3 <- '0.01' par2 <- '0.9' par1 <- '0.01' 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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