R version 2.5.1 (2007-06-27)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(1.79,1.95,2.26,2.04,2.16,2.75,2.79,2.88,3.36,2.97,3.1,2.49,2.2,2.25,2.09,2.79,3.14,2.93,2.65,2.67,2.26,2.35,2.13,2.18,2.9,2.63,2.67,1.81,1.33,0.88,1.28,1.26,1.26,1.29,1.1,1.37,1.21,1.74,1.76,1.48,1.04,1.62,1.49,1.79,1.8,1.58,1.86,1.74,1.59,1.26,1.13,1.92,2.61,2.26,2.41,2.26,2.03,2.86,2.55,2.27,2.26,2.57,3.07,2.76,2.51,2.87,3.14,3.11,3.16,2.47,2.57,2.89,2.63,2.38,1.69,1.96,2.19,1.87,1.6,1.63,1.22,1.21,1.49,1.64,1.66,1.77,1.82,1.78,1.28,1.29,1.37,1.12,1.51)
> 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] 93
> (np <- floor(n / par1))
[1] 7
> 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] 8 8 8 8 8 8 8 8 8 7 7 7
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
 [1,] 1.79 2.20 2.90 1.21 1.59 2.26 2.63 1.66
 [2,] 1.95 2.25 2.63 1.74 1.26 2.57 2.38 1.77
 [3,] 2.26 2.09 2.67 1.76 1.13 3.07 1.69 1.82
 [4,] 2.04 2.79 1.81 1.48 1.92 2.76 1.96 1.78
 [5,] 2.16 3.14 1.33 1.04 2.61 2.51 2.19 1.28
 [6,] 2.75 2.93 0.88 1.62 2.26 2.87 1.87 1.29
 [7,] 2.79 2.65 1.28 1.49 2.41 3.14 1.60 1.37
 [8,] 2.88 2.67 1.26 1.79 2.26 3.11 1.63 1.12
 [9,] 3.36 2.26 1.26 1.80 2.03 3.16 1.22 1.51
[10,] 2.97 2.35 1.29 1.58 2.86 2.47 1.21   NA
[11,] 3.10 2.13 1.10 1.86 2.55 2.57 1.49   NA
[12,] 2.49 2.18 1.37 1.74 2.27 2.89 1.64   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/145ka1193401565.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/20zw31193401565.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/3cozo1193401565.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/4qdhv1193401565.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,] 1.210 1.260 1.130 1.480 1.040 0.880 1.280 1.120 1.220 1.210 1.100  1.37
[2,] 1.625 1.755 1.725 1.795 1.305 1.455 1.430 1.445 1.385 1.435 1.675  1.69
[3,] 1.995 2.100 1.955 1.940 2.175 2.065 2.005 2.025 1.915 2.350 2.130  2.18
[4,] 2.445 2.475 2.465 2.400 2.560 2.810 2.720 2.775 2.710 2.665 2.560  2.38
[5,] 2.900 2.630 3.070 2.790 3.140 2.930 3.140 3.110 3.360 2.970 3.100  2.89

$n
 [1] 8 8 8 8 8 8 8 8 8 7 7 7

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.536936 1.697798 1.541625 1.602038 1.473939 1.308078 1.284387 1.282043
[2,] 2.453064 2.502202 2.368375 2.277962 2.876061 2.821922 2.725613 2.767957
         [,9]    [,10]    [,11]    [,12]
[1,] 1.174836 1.615464 1.601492 1.767943
[2,] 2.655164 3.084536 2.658508 2.592057

$out
numeric(0)

$group
numeric(0)

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(1.21, 1.625, 1.995, 2.445, 2.9, 1.26, 1.755,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/571tl1193401565.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]
[1,] 1.790 2.090 0.88 1.210 1.130 2.260 1.210 1.12
[2,] 2.100 2.190 1.26 1.485 1.755 2.540 1.545 1.29
[3,] 2.620 2.305 1.31 1.680 2.260 2.815 1.665 1.51
[4,] 2.925 2.730 2.22 1.775 2.480 3.090 2.075 1.77
[5,] 3.360 3.140 2.90 1.860 2.860 3.160 2.630 1.82

$n
[1] 12 12 12 12 12 12 12  9

$conf
         [,1]     [,2]      [,3]     [,4]     [,5]     [,6]     [,7]   [,8]
[1,] 2.243712 2.058702 0.8721376 1.547729 1.929323 2.564141 1.423263 1.2572
[2,] 2.996288 2.551298 1.7478624 1.812271 2.590677 3.065859 1.906737 1.7628

$out
[1] 1.04

$group
[1] 4

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(1.79, 2.1, 2.62, 2.925, 3.36, 2.09, 2.19,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6htt81193401565.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,] 2.030000 1.9150 1.926250
[2,] 2.060000 1.9750 2.004375
[3,] 2.071875 2.0450 2.051250
[4,] 2.090625 2.1525 2.106250
[5,] 2.114286 2.3500 2.158750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 2.057907 1.964041 2.004784
[2,] 2.085843 2.125959 2.097716

$out
numeric(0)

$group
numeric(0)

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(2.03, 2.06, 2.071875, 2.090625, 2.11428571428571,  
> dev.off()
null device 
          1 
> 
> system("convert tmp/145ka1193401565.ps tmp/145ka1193401565.png")
> system("convert tmp/20zw31193401565.ps tmp/20zw31193401565.png")
> system("convert tmp/3cozo1193401565.ps tmp/3cozo1193401565.png")
> system("convert tmp/4qdhv1193401565.ps tmp/4qdhv1193401565.png")
> system("convert tmp/571tl1193401565.ps tmp/571tl1193401565.png")
> system("convert tmp/6htt81193401565.ps tmp/6htt81193401565.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.361   0.823   1.596