Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
90.36 90.67 91.21 91.35 91.62 91.28 91.17 91.13 91.55 91.62 91.73 91.91 92.5 92.93 92.77 93.42 93.82 94.02 94.13 93.7 93.84 94.22 95.03 95.03 95.25 96.11 96.16 96.1 96.52 96.35 96.35 96.66 96.86 97.84 98.04 98.06 98.79 99.38 99.75 100.4 100.97 101.16 100.42 99.88 99.8 99.78 99.78 99.89 100.38 100.1 100.02 101.15 100.02 99.99 100.14 98.93 98.52 98.42 98.78 99.04 99.53 99.97 99.95 101.68 101.29 101.45 100.98 100.64 100.6 101.59 101.15 101.03
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