R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(493,481,462,457,442,439,488,521,501,485,464,460,467,460,448,443,436,431,484,510,513,503,471,471,476,475,470,461,455,456,517,525,523,519,509,512,519,517,510,509,501,507,569,580,578,565,547,555,562,561,555,544,537,543,594,611,613,611,594,595,591,589,584,573,567,569,621,629,628,612,595,597,593,590,580,574,573,573,620,626,620,588,566,557,561,549,532,526,511,499,555,565,542,527,510,514,517,508,493,490,469,478,528,534,518,506)
> 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] 106
> (np <- floor(n / par1))
[1] 8
> 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] 9 9 9 9 9 9 9 9 9 9 8 8
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
 [1,]  493  467  476  519  562  591  593  561  517
 [2,]  481  460  475  517  561  589  590  549  508
 [3,]  462  448  470  510  555  584  580  532  493
 [4,]  457  443  461  509  544  573  574  526  490
 [5,]  442  436  455  501  537  567  573  511  469
 [6,]  439  431  456  507  543  569  573  499  478
 [7,]  488  484  517  569  594  621  620  555  528
 [8,]  521  510  525  580  611  629  626  565  534
 [9,]  501  513  523  578  613  628  620  542  518
[10,]  485  503  519  565  611  612  588  527  506
[11,]  464  471  509  547  594  595  566  510   NA
[12,]  460  471  512  555  595  597  557  514   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/1xvep1230029534.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/2dt991230029534.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/3cjrs1230029534.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/4zjjv1230029534.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,]  467  460  448  443  436  431  484  510  501   485 464.0 460.0
[2,]  493  481  470  461  455  456  517  525  518   506 490.0 491.5
[3,]  519  517  510  509  501  499  555  565  542   527 528.5 534.5
[4,]  562  561  555  544  537  543  594  611  613   588 580.0 576.0
[5,]  593  590  584  574  573  573  621  629  628   612 595.0 597.0

$n
 [1] 9 9 9 9 9 9 9 9 9 9 8 8

$conf
       [,1]     [,2]     [,3]     [,4]     [,5]   [,6]     [,7]     [,8]
[1,] 482.66 474.8667 465.2333 465.2867 457.8133 453.18 514.4467 519.7067
[2,] 555.34 559.1333 554.7667 552.7133 544.1867 544.82 595.5533 610.2933
         [,9]    [,10]    [,11]    [,12]
[1,] 491.9667 483.8133 478.2247 487.2971
[2,] 592.0333 570.1867 578.7753 581.7029

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(467, 493, 519, 562, 593, 460, 481, 517, 561,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5t32y1230029534.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]  [,7]  [,8] [,9]
[1,] 439.0 431.0 455.0 501.0 537.0 567.0 557.0 499.0  469
[2,] 458.5 445.5 465.5 509.5 549.5 578.5 573.0 512.5  490
[3,] 472.5 469.0 492.5 533.0 578.0 593.0 584.0 529.5  507
[4,] 490.5 493.5 518.0 567.0 603.0 616.5 606.5 552.0  518
[5,] 521.0 513.0 525.0 580.0 613.0 629.0 626.0 565.0  534

$n
[1] 12 12 12 12 12 12 12 12 10

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]    [,6]     [,7]     [,8]
[1,] 457.9046 447.1069 468.5544 506.7739 553.5983 575.668 568.7204 511.4838
[2,] 487.0954 490.8931 516.4456 559.2261 602.4017 610.332 599.2796 547.5162
         [,9]
[1,] 493.0101
[2,] 520.9899

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" "2" "3" "4" "5" "6" "7" "8" NA 

Warning message:
In bxp(list(stats = c(439, 458.5, 472.5, 490.5, 521, 431, 445.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/63wxo1230029534.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,] 499.0000 499.00 496.0000
[2,] 511.7222 509.50 507.5000
[3,] 531.5000 523.00 530.8125
[4,] 549.5556 538.25 551.2500
[5,] 566.7778 565.00 568.0000

$n
[1] 12 12 12

$conf
        [,1]     [,2]     [,3]
[1,] 514.244 509.8869 510.8578
[2,] 548.756 536.1131 550.7672

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> system("convert tmp/1xvep1230029534.ps tmp/1xvep1230029534.png")
> system("convert tmp/2dt991230029534.ps tmp/2dt991230029534.png")
> system("convert tmp/3cjrs1230029534.ps tmp/3cjrs1230029534.png")
> system("convert tmp/4zjjv1230029534.ps tmp/4zjjv1230029534.png")
> system("convert tmp/5t32y1230029534.ps tmp/5t32y1230029534.png")
> system("convert tmp/63wxo1230029534.ps tmp/63wxo1230029534.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.038   0.806   1.282