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Data:
1684800.00 1622400.00 1716000.00 1372800.00 1778400.00 1747200.00 1872000.00 1934400.00 2152800.00 1872000.00 1778400.00 2215200.00 1872000.00 1404000.00 1653600.00 1248000.00 1747200.00 1435200.00 1903200.00 1716000.00 1809600.00 2028000.00 1996800.00 2371200.00 1716000.00 1435200.00 1591200.00 1154400.00 1653600.00 1279200.00 1809600.00 1716000.00 1528800.00 2184000.00 1965600.00 2246400.00 1684800.00 1560000.00 1404000.00 1154400.00 1528800.00 1372800.00 1872000.00 1809600.00 1560000.00 2090400.00 1934400.00 2496000.00 1996800.00 1216800.00 1216800.00 1216800.00 1435200.00 1435200.00 1934400.00 1778400.00 1591200.00 1996800.00 1840800.00 2652000.00 2090400.00 1216800.00 1279200.00 1060800.00 1466400.00 1684800.00 2121600.00 2090400.00 1684800.00 1965600.00 1747200.00 2496000.00 1903200.00 1528800.00 1372800.00 1029600.00 1528800.00 1840800.00 2152800.00 2028000.00 1497600.00 2152800.00 1684800.00 2589600.00 2152800.00 1560000.00 1435200.00 967200.00 1528800.00 1466400.00 2215200.00 2215200.00 1684800.00 2184000.00 1622400.00 2527200.00 2152800.00 1591200.00 1216800.00 842400.00 1653600.00 1591200.00 2090400.00 2402400.00 1778400.00 1996800.00 1497600.00 2589600.00
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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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