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Data:
95.31 93.47 98.92 101.21 95.19 90.95 93.09 90.16 91.86 88.82 91.58 94.9 99.85 98.03 93.46 94.15 93.47 88.98 89.26 84.62 82.7 84.37 89.52 89.82 93.08 98.02 97.49 97.35 99.33 96.92 96.42 93.94 89.95 94.38 95.13 96.01 100.37 99.57 100.53 106.51 106.22 106.93 103.24 98.54 95.6 91.97 93.99 96.53 102.37 98.81 96.88 100.4 91.54 90.36 94.28 84.17 86.65 84.09 90.2 92.47 96.92 98.3 94.27 105.58 99.89 97.46 99.21 97.72 99.31 102.57 102.16 99.12
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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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1 seconds
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Big Analytics Cloud Computing Center
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