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Data:
122.9 122.82 120.26 118.82 126.69 125.79 123.96 128.7 127.74 127.55 126.16 124.74 122.32 120.92 117.09 115.77 117.88 117.77 122.61 127.31 124.62 119.07 116.92 115.07 113.84 112.89 111.86 111.58 107.72 106.49 108.53 108.62 107.92 106.43 117.66 115.11 113.98 112.16 109.72 117.99 112.57 113.66 118.18 115.66 114.72 110.46 108.38 106.52 107.01 105.89 103.76 103.71 101.07 100.4 102.24 99.18 98.14 96.22 94.38 94.62 94.71 94.97 93.69 106.42 105.73 105.18 104.8 102.77 100.29 99.3 96.63 95.5
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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
2 seconds
R Server
Big Analytics Cloud Computing Center
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