R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(692.4,877.3,536.8,705.9,951,755.7,695.5,744.8,672.1,666.6,760.8,756,604.4,883.9,527.9,756.2,812.9,655.6,707.6,612.6,659.2,833.4,727.8,797.2,753,762,613.7,759.2,816.4,736.8,680.1,736.5,637.2,801.9,772.3,897.3,792.1,826.8,666.8,906.6,871.4,891,739.2,833.6,715.6,871.6,751.6,1005.5,681.2,837.3,674.7,806.3,860.2,689.8,691.6,682.6,800.1,1023.7,733.5,875.3)
> par1 = '12'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Mean Plot (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_meanplot.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 60
> (np <- floor(n / par1))
[1] 5
> arr <- array(NA,dim=c(par1,np+1))
> ari <- array(0,dim=par1)
> j <- 0
> for (i in 1:n)
+ {
+ j = j + 1
+ ari[j] = ari[j] + 1
+ arr[j,ari[j]] <- x[i]
+ if (j == par1) j = 0
+ }
> ari
 [1] 5 5 5 5 5 5 5 5 5 5 5 5
> arr
       [,1]  [,2]  [,3]   [,4]   [,5] [,6]
 [1,] 692.4 604.4 753.0  792.1  681.2   NA
 [2,] 877.3 883.9 762.0  826.8  837.3   NA
 [3,] 536.8 527.9 613.7  666.8  674.7   NA
 [4,] 705.9 756.2 759.2  906.6  806.3   NA
 [5,] 951.0 812.9 816.4  871.4  860.2   NA
 [6,] 755.7 655.6 736.8  891.0  689.8   NA
 [7,] 695.5 707.6 680.1  739.2  691.6   NA
 [8,] 744.8 612.6 736.5  833.6  682.6   NA
 [9,] 672.1 659.2 637.2  715.6  800.1   NA
[10,] 666.6 833.4 801.9  871.6 1023.7   NA
[11,] 760.8 727.8 772.3  751.6  733.5   NA
[12,] 756.0 797.2 897.3 1005.5  875.3   NA
> arr.mean <- array(NA,dim=par1)
> arr.median <- array(NA,dim=par1)
> arr.midrange <- array(NA,dim=par1)
> for (j in 1:par1)
+ {
+ arr.mean[j] <- mean(arr[j,],na.rm=TRUE)
+ arr.median[j] <- median(arr[j,],na.rm=TRUE)
+ arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2
+ }
> overall.mean <- mean(x)
> overall.median <- median(x)
> overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2
> postscript(file="/var/www/html/rcomp/tmp/1yswo1225666634.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index')
> mtext(paste('#blocks = ',np))
> abline(overall.mean,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2rds01225666634.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index')
> mtext(paste('#blocks = ',np))
> abline(overall.median,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3j9ka1225666634.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index')
> mtext(paste('#blocks = ',np))
> abline(overall.midrange,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4hgzy1225666634.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(t(arr))
> names(z) <- c(1:par1)
> (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries'))
$stats
      [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8]  [,9] [,10] [,11]  [,12]
[1,] 604.4 762.0 527.9 705.9 812.9 655.6 680.1 612.6 637.2 801.9 727.8  756.0
[2,] 681.2 826.8 536.8 756.2 816.4 689.8 691.6 682.6 659.2 801.9 733.5  797.2
[3,] 692.4 837.3 613.7 759.2 860.2 736.8 695.5 736.5 672.1 833.4 751.6  875.3
[4,] 753.0 877.3 666.8 806.3 871.4 755.7 707.6 744.8 715.6 871.6 760.8  897.3
[5,] 792.1 883.9 674.7 806.3 951.0 755.7 707.6 833.6 800.1 871.6 772.3 1005.5

$n
 [1] 5 5 5 5 5 5 5 5 5 5 5 5

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 641.6663 801.6168 521.8423 723.7995 821.3371 690.2352 684.1944 692.5496
[2,] 743.1337 872.9832 705.5577 794.6005 899.0629 783.3648 706.8056 780.4504
         [,9]    [,10]    [,11]    [,12]
[1,] 632.2479 784.1502 732.3099 804.5696
[2,] 711.9521 882.6498 770.8901 946.0304

$out
[1]  906.6  891.0  739.2  666.6 1023.7

$group
[1]  4  6  7 10 10

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12"

Warning message:
In bxp(list(stats = c(604.4, 681.2, 692.4, 753, 792.1, 762, 826.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5dgxm1225666634.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(arr)
> names(z) <- c(1:np)
> (boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks'))
$stats
       [,1]   [,2]  [,3]   [,4]    [,5] [,6]
[1,] 666.60 527.90 613.7  666.8  674.70   NA
[2,] 682.25 634.10 708.3  745.4  686.20   NA
[3,] 725.35 717.70 756.1  830.2  766.80   NA
[4,] 758.40 805.05 787.1  881.3  848.75   NA
[5,] 760.80 883.90 897.3 1005.5 1023.70   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]     [,4]     [,5] [,6]
[1,] 690.6175 639.7286 720.1588 768.2151 692.6599   NA
[2,] 760.0825 795.6714 792.0412 892.1849 840.9401   NA

$out
[1] 877.3 536.8 951.0

$group
[1] 1 1 1

$names
[1] "1" "2" "3" "4" "5" NA 

Warning message:
In bxp(list(stats = c(666.6, 682.25, 725.35, 758.4, 760.8, 527.9,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/62zmh1225666634.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(cbind(arr.mean,arr.median,arr.midrange))
> names(z) <- list('mean','median','midrange')
> (boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots'))
$stats
       [,1]   [,2]    [,3]
[1,] 603.98 613.70 601.800
[2,] 703.71 693.95 706.650
[3,] 747.49 744.20 734.950
[4,] 838.45 835.35 840.325
[5,] 866.26 875.30 852.050

$n
[1] 12 12 12

$conf
         [,1]     [,2]   [,3]
[1,] 686.0342 679.7065 673.98
[2,] 808.9458 808.6935 795.92

$out
numeric(0)

$group
numeric(0)

$names
[1] "mean"     "median"   "midrange"

Warning message:
In bxp(list(stats = c(603.98, 703.71, 747.49, 838.45, 866.26, 613.7,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1yswo1225666634.ps tmp/1yswo1225666634.png")
> system("convert tmp/2rds01225666634.ps tmp/2rds01225666634.png")
> system("convert tmp/3j9ka1225666634.ps tmp/3j9ka1225666634.png")
> system("convert tmp/4hgzy1225666634.ps tmp/4hgzy1225666634.png")
> system("convert tmp/5dgxm1225666634.ps tmp/5dgxm1225666634.png")
> system("convert tmp/62zmh1225666634.ps tmp/62zmh1225666634.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.279   0.809   1.545