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Data:
95.31 93.47 98.92 101.21 95.19 90.95 93.09 90.16 91.86 88.82 91.58 94.9 99.85 98.03 93.46 94.15 93.47 88.98 89.26 84.62 82.7 84.37 89.52 89.82 93.08 98.02 97.49 97.35 99.33 96.92 96.42 93.94 89.95 94.38 95.13 96.01 100.37 99.57 100.53 106.51 106.22 106.93 103.24 98.54 95.6 91.97 93.99 96.53 102.37 98.81 96.88 100.4 91.54 90.36 94.28 84.17 86.65 84.09 90.2 92.47 96.92 98.3 94.27 105.58 99.89 97.46 99.21 97.72 99.31 102.57 102.16 99.12
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R Code
par3 <- '0,1' par2 <- '0,9' par1 <- '0,1' 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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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