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Data:
93.55 94.11 94.47 94.38 94.42 94.39 94.42 94.34 94.59 94.63 94.84 94.98 95.19 95.76 96.08 96.04 96.2 96.31 96.3 96.29 96.46 96.66 96.83 97 97.1 97.33 97.31 97.16 97.4 97.4 97.52 97.77 98 98.2 98.48 98.53 98.71 99.03 99.52 99.65 99.98 99.94 100.12 100.17 100.38 100.75 100.84 100.91 100.9 101.15 101.4 101.39 101.55 101.73 101.7 101.65 101.73 101.53 101.58 101.58 101.71 101.71 101.98 101.99 101.95 102.11 102.28 102.32 102.18 102.14 102.29 102.33
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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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