Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
14724.00 14404.00 14058.00 13427.00 19946.00 19631.00 14724.00 11462.00 11778.00 11778.00 12093.00 12760.00 13742.00 13427.00 11462.00 11778.00 20929.00 22893.00 17666.00 14724.00 15387.00 15707.00 17351.00 18964.00 19315.00 16022.00 16369.00 12093.00 24222.00 27800.00 19631.00 17004.00 18649.00 20613.00 23555.00 27164.00 27164.00 24853.00 23871.00 17982.00 27800.00 32391.00 28462.00 24222.00 24853.00 27164.00 30426.00 34355.00 31724.00 30111.00 30111.00 24853.00 32391.00 37297.00 33373.00 29129.00 30426.00 35653.00 37964.00 41222.00 38595.00 34355.00 33373.00 25520.00 30742.00 36315.00 30111.00 26502.00 30111.00 33689.00 35653.00 40906.00 38280.00 31724.00 32391.00 26186.00 31409.00 36000.00 30742.00 27164.00 30426.00 34355.00 33689.00 41542.00 40244.00 35017.00 35333.00 28462.00 32706.00 39262.00 34355.00 31409.00 36315.00 39262.00 36982.00 47431.00 44835.00 38946.00 37297.00 29764.00 34035.00 37964.00 33053.00 33053.00 38595.00 41542.00 39924.00 51355.00 48413.00 42871.00 40560.00 32391.00 35333.00 40560.00 36631.00 35653.00 40244.00 44168.00 39924.00 50057.00
Chart options
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation