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Data:
101.94 102.62 102.71 103.39 104.51 104.09 104.29 104.57 105.39 105.15 106.13 105.46 106.47 106.62 106.52 108.04 107.15 107.32 107.76 107.26 107.89 109.08 110.4 111.03 112.05 112.28 112.8 114.17 114.92 114.65 115.49 114.67 114.71 115.15 115.03 115.07 116.46 116.37 116.2 116.5 116.38 115.44 114.96 114.48 114.3 114.66 114.97 114.79 116.16 116.52 117.14 117.27 117.58 117.21 117.08 117.06 117.55 117.61 117.74 117.87 118.59 119.09 118.93 119.62 120.09 120.38 120.49 120.02 120.17 120.58 121.54 121.51 121.81 122.85 122.97 122.96 123.4 123.23 123.24 123.72 123.99 125.1 125.4 125.35 126.37 127.17 127.66 128.48 129.21 129.48 128.63 128.16 128.1 128.08 128.14 128.19
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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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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