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Data:
13328.12873.14000.13477.14237.13674.13529.14058.12975.14326.14008.16193.14483.14011.15057.14884.15414.14440.14900.15074.14442.15307.14938.17193.15528.14765.15838.15723.16150.15486.15986.15983.15692.16490.15686.18897.16316.15636.17163.16534.16518.16375.16290.16352.15943.16362.16393.19051.16747.16320.17910.16961.17480.17049.16879.17473.16998.17307.17418.20169.17871.17226.19062.17804.19100.18522.18060.18869.18127.18871.18890.21263.19547.18450.20254.19240.20216.19420.19415.20018.18652.19978.19509.21971
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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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