Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
83.8 86.62 83.98 82.59 82.3 81.64 81.66 81.63 85.54 85.62 85.89 86.38 87.59 87.68 88.07 87.66 88.36 88.08 94.35 99.07 100.39 102.1 102.89 103.05 102.78 102.53 101.6 100.78 100.54 100.19 100.07 100.18 100.08 99.66 99.92 99.51 101.77 102.49 101.91 100.57 100.23 99.99 99.2 99.07 98.79 99.31 98.98 97.69 98.9 98.75 99.7 100.18 100.14 100.13 99.85 99.38 98.87 97.79 97.32 97.29 96.73 97.22 96.66 96.58 96.47 96.7 97.91 97.97 98.26 97.8 97.33 97.56
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