Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
121.67 121.65 121.61 121.5 121.41 121.41 121.4 121.38 121.34 121.19 120.96 120.96 120.96 120.9 120.86 120.73 120.53 120.53 120.53 120.52 120.51 120.43 120.29 120.27 120.27 120.24 120.21 120.06 119.86 119.85 119.85 119.83 119.71 119.57 119.2 119.13 119.13 119.09 118.9 118.54 118.12 118.11 118.1 118.08 117.91 117.63 117.28 117.2 117.17 117.14 116.96 116.34 115.99 115.99 115.97 115.92 115.63 115.31 115.13 115.09 115.07 115.01 114.64 113.86 113.34 113.33 113.32 113.26 113.2 112.61 112.28 112.16
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
2 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation