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Data:
2421.21 2378.63 2336.00 2250.79 3113.00 3070.38 2421.21 1990.13 2032.71 2032.71 2075.33 2165.17 1904.92 1644.25 1430.79 1430.79 2250.79 2336.00 1686.83 952.46 1340.96 1340.96 1644.25 1819.29 1776.67 1340.96 1559.04 1473.42 2207.79 2032.71 1340.96 824.25 1298.33 1430.79 1559.04 1729.46 1383.54 1084.92 1213.17 1255.75 2378.63 2378.63 1729.46 1644.25 1904.92 1776.67 2122.58 2553.67 2639.29 2032.71 1861.88 1686.83 2856.96 2942.58 2724.50 2942.58 2899.54 2553.67 2942.58 3373.67 3548.71 3027.79 2681.88 2942.58 4065.42 4411.33 4326.13 4496.50 4453.92 4022.83 4757.21 4932.25 5188.29 4411.33 4108.04 4453.92 5278.13 6012.50 5837.46 5837.46 5923.08 5624.00 6401.42 6401.42 6268.96 5534.17 5666.63 5752.25 6315.79 7050.17 6529.21 6789.92 6571.83 6444.00 7439.08 7221.00 6917.71 6486.63 6917.71 7135.79 7396.04 7741.92 7396.04 7609.50 7349.21 7306.63 8386.88 8476.71 8130.83 7524.29 8041.00 8258.67 8519.33 8907.83 8519.33 8822.63 8690.17 8216.04 9211.08 9211.08
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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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