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Data:
7840.00 8292.00 8534.00 8441.00 8602.00 8468.00 8832.00 9006.00 8749.00 8714.00 8193.00 8251.00 8192.00 9056.00 9407.00 9068.00 9431.00 9907.00 10044.00 10838.00 10871.00 11127.00 11303.00 11349.00 11493.00 12694.00 13227.00 12253.00 12234.00 12491.00 13248.00 14042.00 14392.00 14834.00 15542.00 15518.00 16197.00 17325.00 24016.00 23671.00 24998.00 25329.00 25904.00 26548.00 26752.00 26967.00 27034.00 27056.00 27476.00 28497.00 29085.00 28720.00 29067.00 29249.00 29672.00 29761.00 30066.00 30315.00 30571.00 30757.00 30742.00 31310.00 31381.00 31470.00 31226.00 31081.00 31061.00 31114.00 30828.00 30418.00 30195.00 29877.00 29192.00 29876.00 29409.00 28458.00 28340.00 28164.00 28438.00 28053.00
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R Code
library(Hmisc) m <- mean(x) e <- median(x) bitmap(file='test1.png') op <- par(mfrow=c(2,1)) mydensity1 <- density(x,kernel='gaussian',na.rm=TRUE) plot(mydensity1,main='Density Plot - Gaussian Kernel',xlab='Median (0 -> full line) | Mean (0 -> dashed line)',ylab='density') abline(v=e,lty=1) abline(v=m,lty=5) grid() myseq <- seq(0.01, 0.99, 0.01) hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE) plot(myseq,hd,col=2,main='Harrell-Davis Quantiles',xlab='quantiles',ylab='Median (0 -> full) | Mean (0 -> dashed)') abline(h=m,lty=5) abline(h=e,lty=1) grid() par(op) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Median versus Mean',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) a<-table.element(a,median(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Computing time
2 seconds
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Big Analytics Cloud Computing Center
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