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Data:
93.65 92.68 92.70 92.73 92.80 92.86 93.02 93.02 93.04 93.09 93.11 93.11 93.20 93.21 93.22 93.23 93.29 93.42 93.43 93.45 93.45 93.49 93.50 93.56 93.68 93.70 94.01 94.07 94.33 94.43 94.47 95.35 95.37 95.46 95.83 96.00 96.85 97.84 98.38 98.90 99.51 99.93 99.95 101.40 101.56 101.65 101.70 101.91 101.91 102.29 102.33 102.44 102.57 102.59 102.84 102.88 103.04 103.16 103.20 103.23 103.27 103.31 103.59 104.35 104.55 104.60 104.67 104.93 105.08 105.15 109.25 109.82
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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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