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Data:
78.21 75.50 79.87 85.76 77.02 75.47 75.29 77.52 78.44 83.50 86.29 92.14 96.91 104.23 114.60 122.09 114.52 113.77 117.03 109.84 109.90 108.74 110.49 107.82 111.26 119.06 124.54 120.60 110.28 95.93 102.72 112.68 113.03 111.48 109.56 109.16 112.32 116.08 109.63 109.63 103.27 103.32 107.38 110.45 111.24 109.44 107.94 110.58 107.31 108.70 107.70 108.08 109.32 111.95 108.07 103.38 98.54 88.16 79.70 63.30
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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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