Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
103.51 104.35 104.51 105.25 105.2 105.87 107.63 107.77 106.58 106.32 106.3 106.38 106.42 107.35 107.58 108.2 108.29 108.76 110.69 110.56 108.81 108.81 108.81 109.74 109.57 110.44 111.2 111.44 111.83 112.87 115.07 115.35 113.81 114.66 114.51 115.11 114.54 115.39 115.65 116.46 116.18 116.63 118.84 118.77 117.83 117.66 117.36 118 117.34 118.04 118.17 118.82 119 118.89 121.4 121.01 120.21 120.39 120.09 120.76 120.33 120.84 121.49 122.29 121.91 122.46 124.94 124.6 123.09 123.25 123.01 123.82
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