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Data:
92.8 92.9 93.06 93.28 93.41 93.49 93.49 93.5 93.56 94.12 94.3 94.36 94.36 94.5 94.85 95.16 95.73 95.76 95.76 95.81 96.09 96.48 96.71 96.69 96.69 96.66 96.73 96.84 97.87 98 97.98 98.03 98.11 98.18 98.32 98.34 98.28 98.52 98.56 99.6 100.16 100.46 100.46 100.68 100.83 100.64 100.9 100.92 100.75 100.96 101.05 101.33 101.38 101.44 101.51 101.4 101.26 100.83 100.75 100.81 100.82 100.85 100.79 100.84 101.04 101.11 101.15 101.11 101.28 101.62 102.07 102.14
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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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