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Data:
6165561.60 4930198.00 5425516.80 4882416.00 5013277.20 4824106.60 4386552.80 3612685.50 3354824.00 4573662.50 3607962.50 2313181.20 6068078.55 5733506.24 5801696.32 5679979.04 4473715.68 4134416.13 3817990.84 2860636.20 3467462.88 4132339.80 3002307.36 2004734.61 5512120.68 4808915.54 5330777.00 4821427.17 4115383.80 4432005.74 3902015.55 3196453.24 3798522.75 4694299.60 3333356.94 2913313.14 5227244.40 5552024.24 6820771.05 5963048.74 4331811.21 4820109.95 3463539.62 3293941.28 3729726.82 4312980.00 3719352.72 2773137.94 5691542.88 5058654.30 5838951.24 5399831.16 4662499.05 5538644.50 3662097.01 3730770.83 3982615.85 4148178.34 3991276.66 2349702.88
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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
1 seconds
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Big Analytics Cloud Computing Center
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