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Data:
3862.5 3875.7 3875.9 3877.7 3880.4 3883.4 3884.2 3884.8 3894.9 3903.3 3911.2 3928.9 3945.6 3965.7 3992.3 4008.7 4014.8 4020.6 4037.5 4058.5 4082.3 4102.4 4127.1 4144.4 4161 4168.2 4178.3 4174.1 4165.7 4167.9 4158.3 4158.3 4143.7 4157.5 4164.8 4173.9 4181.2 4190.7 4206.6 4222.1 4245.8 4255.4 4266.1 4273.6 4282.1 4299.8 4315.7 4331.7 4348.4 4367.8 4387.2 4410.9 4436 4453.8 4469.1 4472 4458.2 4449 4441.5 4445.7 4453.9 4469.7 4487.5 4504 4524.1 4540.5 4548.4 4554.2 4558 4557.5 4554.5 4550 4543.8 4538.2 4543.3 4545.1
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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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1 seconds
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Big Analytics Cloud Computing Center
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