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Data:
85.95 86.41 86.42 86.81 86.71 86.7 87.07 86.96 87.04 87.5 88.32 88.56 88.92 89.56 90.21 90.42 91.23 91.73 92.21 91.65 91.8 91.63 91.09 90.89 90.98 91.29 90.77 90.96 90.89 90.72 90.66 90.94 90.7 90.74 90.98 91.13 91.54 91.93 92.27 92.59 92.96 92.95 92.99 93.05 93.34 93.47 93.59 93.96 94.49 95.04 95.52 95.75 96.07 96.37 96.48 96.4 96.66 96.81 97.19 97.23 97.94 98.52 98.73 98.8 98.77 98.54 98.72 99.15 99.32 99.5 99.39 99.4 99.37 99.69 99.83 99.79 99.94 100.11 100.21 100.15 100.21 100.13 100.2 100.36 100.5 100.66 100.72 100.41 100.3 100.38 100.55 100.17 100.09 100.22 100.09 99.98
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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 Input
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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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