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Data:
430.00 433.87 434.55 434.55 434.55 434.55 434.71 434.71 434.71 434.71 434.73 436.34 437.55 439.58 439.65 439.76 439.76 439.76 440.06 440.13 441.18 441.14 441.14 441.19 449.06 456.46 456.79 456.87 457.25 455.93 456.00 456.22 456.22 456.58 457.61 457.61 460.43 460.43 462.18 462.37 462.59 463.19 463.48 464.30 461.41 463.35 463.35 463.35 464.27 472.28 472.36 472.56 472.56 472.56 474.15 474.59 474.97 474.99 474.99 474.99 478.34 485.70 485.75 485.85 485.84 485.85 485.84 486.00 488.79 489.71 489.71 489.71
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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')
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1 seconds
R Server
Big Analytics Cloud Computing Center
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