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Data:
55.64 56.13 56.69 56.8 56.93 57 57.01 57.21 57.17 57.36 57.29 57.26 57.29 57.68 58.19 58.34 58.46 58.67 58.72 58.74 58.77 58.84 59.13 59.12 59.12 59.33 59.49 59.67 59.7 59.73 59.74 59.62 59.6 59.98 60.05 60.06 60.1 60.18 60.38 60.52 60.78 60.72 60.72 60.86 60.99 61.11 61.17 61.19 61.19 61.22 61.19 60.82 60.6 60.15 60.14 60.2 60.36 60.38 60.44 60.47
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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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