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Data:
121.67 121.65 121.61 121.5 121.41 121.41 121.4 121.38 121.34 121.19 120.96 120.96 120.96 120.9 120.86 120.73 120.53 120.53 120.53 120.52 120.51 120.43 120.29 120.27 120.27 120.24 120.21 120.06 119.86 119.85 119.85 119.83 119.71 119.57 119.2 119.13 119.13 119.09 118.9 118.54 118.12 118.11 118.1 118.08 117.91 117.63 117.28 117.2 117.17 117.14 116.96 116.34 115.99 115.99 115.97 115.92 115.63 115.31 115.13 115.09 115.07 115.01 114.64 113.86 113.34 113.33 113.32 113.26 113.2 112.61 112.28 112.16
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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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