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Data:
3592.21 5955.74 4652.25 4211.65 4787.85 3599.73 4174.27 5106.33 5325.75 6604.61 5711.90 6919.30 7048.76 8655.98 6658.53 7247.03 8779.57 6602.49 9832.48 9369.49 8582.76 8206.94 6515.83 8618.10 8505.39 9881.64 9375.29 15642.50 12232.73 6288.93 12473.94 11142.82 10236.32 10581.51 8763.71 10819.04 11636.25 14650.13 10671.38 17468.63 13873.19 13077.58 16866.81 14186.64 19919.87 17681.78 9984.28 17423.09 13514.45 12334.57 12274.56 11752.23 13054.00 12460.98 8626.68 13722.62 12066.22 6798.83 6593.82 6606.19 6315.28 7232.95 6747.44 7803.61 6700.31 5369.53 8081.19 10718.39 9447.21 6815.10 5497.80 6805.31
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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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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