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Data:
52.21 52.53 53.06 53.23 53.25 53.27 53.35 53.6 53.98 54.18 54.27 54.32 54.4 54.73 54.96 55.27 55.27 55.26 55.37 55.53 55.55 55.54 55.6 55.56 55.64 56.13 56.69 56.8 56.93 57 57.01 57.21 57.17 57.36 57.29 57.26 57.29 57.68 58.19 58.34 58.46 58.67 58.72 58.74 58.77 58.84 59.13 59.12 59.12 59.33 59.49 59.67 59.7 59.73 59.74 59.62 59.6 59.98 60.05 60.06 60.1 60.18 60.38 60.52 60.78 60.72 60.72 60.86 60.99 61.11 61.17 61.19
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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
2 seconds
R Server
Big Analytics Cloud Computing Center
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