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Data:
204.12 203.27 203.73 203.7 203.44 203.34 203.34 203.05 202.71 202.51 203.45 203.04 203.04 202.87 202.92 202.87 203.17 203.88 203.88 203.45 203.22 202.11 202.5 202.86 202.86 203.8 203.78 204.53 204.44 204.14 204.14 204.04 204.68 205.01 204.93 204.34 204.34 203.87 202.47 201.95 201.86 200.33 200.33 200.33 200.75 201.86 202.77 202.85 202.85 202.84 202.94 203.05 203.45 204.19 204.18 204.47 204.78 206.05 206.32 206.36 205.21 205.35 205.94 204.57 204.27 204.86 204.66 204.79 205.58 205.63 205.12 204.96
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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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