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Data:
162.9 164.7 165 167.2 168.6 169.5 169.8 171.9 172 173.7 173.9 175.9 175.6 176.1 176.3 179.4 179.7 179.9 180.4 182.5 183.6 183.9 184.5 187.6 188 188.5 188.6 191.9 193.5 194.9 194.9 196.2 196.2 198 198.6 201.3 203.5 204.1 204.8 206.5 207.8 208.6 209.7 210 211.7 212.4 213.7 214.8 216.4 217.5 218.6 220.4 221.8 222.5 223.4 225.5 226.5 227.8 228.5 229.1 229.9 230.8 231.9 236 237.5 239.1 240.5 241.4 243.2 243.6 244.3 244.5 245.1 245.8 246.7 247.7 248.5
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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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Computing time
2 seconds
R Server
Big Analytics Cloud Computing Center
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