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Data:
103.51 104.35 104.51 105.25 105.2 105.87 107.63 107.77 106.58 106.32 106.3 106.38 106.42 107.35 107.58 108.2 108.29 108.76 110.69 110.56 108.81 108.81 108.81 109.74 109.57 110.44 111.2 111.44 111.83 112.87 115.07 115.35 113.81 114.66 114.51 115.11 114.54 115.39 115.65 116.46 116.18 116.63 118.84 118.77 117.83 117.66 117.36 118 117.34 118.04 118.17 118.82 119 118.89 121.4 121.01 120.21 120.39 120.09 120.76 120.33 120.84 121.49 122.29 121.91 122.46 124.94 124.6 123.09 123.25 123.01 123.82
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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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