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Data:
611.22 613.36 592.49 528.18 525.3 474 485 510 523.54 525 516.6 526.31 535 545.7 525.25 526.42 576.2 593 582.07 570.22 572.8 600.55 610 620.03 623.34 610.16 603.6 607.57 626.06 614.8 596.48 632.05 628.01 621.88 627.64 579.37 587.76 608 593.32 595.09 586.72 583.72 525.18 509.85 527.25 540.35 517.96 510.8 534.56 504 553.43 562.98 582.54 650.02 624.99 585.99 579.98 599.33 605.91 604.64 609.90 621.25 600.25 625.04 642.59 641.24 632.32 624.60 596.06 614.98 596.97 605.23 600.40 591.53 570.98 580.45 564.51 571.48 580.07 585.98 576.52 610.82 634.96 641.33 642.00 677.14 678.63 685.09 706.15 709.68 733.99 754.50 767.65 744.75 681.79 675.15 687.92 687.92 663.03 647.18 667.97 698.37 684.21 701.96 715.63 700.01 737.97 739.99 704.51 753.67 775.60 785.37 792.89 799.71 806.19 831.52 814.30 810.31 794.19 783.05 790.05 799.87 801.42 845.72 880.23 909.18 873.32 871.22 879.73 875.04 880.93 880.37 893.49 923.00 896.60 885.35 906.57 890.41 856.91 870.21 846.90 879.58 889.07 903.11 876.39 872.35 871.99 1011.41 1015.20 1027.04 1016.03 1033.56 1031.89 1059.59 1069.87 1060.79 1100.62 1118.40 1105.00
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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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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