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Data:
6.94 6.98 7.05 7.07 7.08 7.10 7.12 7.13 7.18 7.20 7.21 7.22 7.26 7.29 7.32 7.36 7.41 7.48 7.48 7.51 7.51 7.51 7.51 7.54 7.58 7.64 7.63 7.71 7.77 7.85 7.88 7.89 7.94 8.02 8.08 8.15 8.17 8.17 8.25 8.33 8.41 8.43 8.48 8.52 8.56 8.63 8.70 8.72 8.73 8.82 8.83 8.81 8.82 8.83 8.84 8.83 8.82 8.87 8.87 8.87 8.86 8.95 8.94 8.96 8.96 9.01 9.01 8.96 8.96 8.94 8.93 8.89
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R Code
par3 <- '0.01' par2 <- '0.99' par1 <- '0.01' 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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