Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
101.03 100.65 100.66 100.54 100.51 100.53 100.53 101.02 101.07 101.37 101.45 101.44 101.45 100.99 101.11 101.31 101.53 101.6 101.61 102.04 102.36 102.74 102.96 103.01 103.02 102.34 102.38 102.54 102.71 102.78 102.78 103.27 103.4 103.74 103.89 103.92 99.68 99.06 99.12 99.37 99.63 99.69 99.76 100.16 100.46 100.83 101.09 101.14 101.25 101.09 101.18 101.14 101.23 101.17 100.84 101.04 101.18 101.1 101.21 101.26 101.85 101.82 101.93 101.95 101.97 102.04 101.37 101.2 101.14 101.27 101.39 101.4
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