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Data:
89.65 90.65 89.34 89.15 88.82 88.82 91.97 93.01 93.24 93.2 93.19 92.2 93.39 94.75 94.25 94.37 94.02 92.77 92.64 93.19 92.74 92.52 92.25 91.6 93.73 96.21 96.36 95.69 95.07 95.5 95.22 97.41 98.31 98.54 98.45 98.03 101.45 102.44 102.42 100.98 100.69 100.28 98.06 97.37 97.25 98.93 100.04 100.09 100.79 99.76 99.63 99.26 99.69 99.17 98.79 97.97 98.1 97.91 97.16 96.8 97.46 96.59 96.35 96.12 96.16 95.95 96.06 95.89 95.9 95.82 95.54 95.51
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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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