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Data:
94.65 94.16 93.91 93.21 92.81 93.55 93.03 93.25 94.24 93.23 93.52 92.05 93.42 95.15 95.12 95.46 94.92 95.63 94.96 95.1 95.22 93.77 95.01 94.87 95.01 96.68 94.94 93.9 94.83 96.27 96.51 96.69 97.47 96.41 98.68 99.3 99.22 99.7 98 98.51 98.6 98.14 99.14 98.25 99.72 99.23 101.32 101.07 101.66 103.09 102.3 100.01 98.78 99.46 99.73 99.52 98.97 97.97 99.37 99.14 99.89 100.29 99.57 101.11 101.44 100.81 101.26 99.86 100.57 100.35 101.15 101.33 102.09 101.79 102.83 102.5 102.22 102.43 102.89 102.12 103.25 103.36 103.5 103.68
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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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