R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(1.65,1.66,1.66,1.67,1.68,1.68,1.68,1.68,1.69,1.7,1.7,1.71,1.72,1.73,1.74,1.74,1.75,1.75,1.75,1.76,1.79,1.83,1.84,1.85,1.87,1.87,1.87,1.88,1.88,1.88,1.88,1.89,1.89,1.89,1.9,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.89,1.9,1.9,1.92,1.93,1.92,1.95,1.96,1.96,1.96,1.96,1.96,1.97,1.97,1.97,1.97,1.97,1.97)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Mean Plot (v1.0.4) 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
> #
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 72
> (np <- floor(n / par1))
[1] 6
> arr <- array(NA,dim=c(par1,np+1))
> darr <- array(NA,dim=c(par1,np+1))
> ari <- array(0,dim=par1)
> dx <- diff(x)
> j <- 0
> for (i in 1:n)
+ {
+ j = j + 1
+ ari[j] = ari[j] + 1
+ arr[j,ari[j]] <- x[i]
+ darr[j,ari[j]] <- dx[i]
+ if (j == par1) j = 0
+ }
> ari
 [1] 6 6 6 6 6 6 6 6 6 6 6 6
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] 1.65 1.72 1.87 1.89 1.89 1.95   NA
 [2,] 1.66 1.73 1.87 1.89 1.89 1.96   NA
 [3,] 1.66 1.74 1.87 1.89 1.89 1.96   NA
 [4,] 1.67 1.74 1.88 1.89 1.89 1.96   NA
 [5,] 1.68 1.75 1.88 1.89 1.89 1.96   NA
 [6,] 1.68 1.75 1.88 1.89 1.89 1.96   NA
 [7,] 1.68 1.75 1.88 1.89 1.89 1.97   NA
 [8,] 1.68 1.76 1.89 1.89 1.90 1.97   NA
 [9,] 1.69 1.79 1.89 1.89 1.90 1.97   NA
[10,] 1.70 1.83 1.89 1.89 1.92 1.97   NA
[11,] 1.70 1.84 1.90 1.89 1.93 1.97   NA
[12,] 1.71 1.85 1.89 1.89 1.92 1.97   NA
> darr
      [,1] [,2]  [,3] [,4]  [,5] [,6] [,7]
 [1,] 0.01 0.01  0.00    0  0.00 0.01   NA
 [2,] 0.00 0.01  0.00    0  0.00 0.00   NA
 [3,] 0.01 0.00  0.01    0  0.00 0.00   NA
 [4,] 0.01 0.01  0.00    0  0.00 0.00   NA
 [5,] 0.00 0.00  0.00    0  0.00 0.00   NA
 [6,] 0.00 0.00  0.00    0  0.00 0.01   NA
 [7,] 0.00 0.01  0.01    0  0.01 0.00   NA
 [8,] 0.01 0.03  0.00    0  0.00 0.00   NA
 [9,] 0.01 0.04  0.00    0  0.02 0.00   NA
[10,] 0.00 0.01  0.01    0  0.01 0.00   NA
[11,] 0.01 0.01 -0.01    0 -0.01 0.00   NA
[12,] 0.01 0.02  0.00    0  0.03   NA   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/fisher/rcomp/tmp/16ct21358278358.ps",horizontal=F,onefile=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/fisher/rcomp/tmp/21mw11358278358.ps",horizontal=F,onefile=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/fisher/rcomp/tmp/36a3m1358278358.ps",horizontal=F,onefile=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/fisher/rcomp/tmp/4n3tj1358278358.ps",horizontal=F,onefile=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,] 1.65 1.66 1.66 1.670 1.680 1.680 1.680 1.68 1.69  1.70 1.840  1.85
[2,] 1.72 1.73 1.74 1.740 1.750 1.750 1.750 1.76 1.79  1.83 1.840  1.85
[3,] 1.88 1.88 1.88 1.885 1.885 1.885 1.885 1.89 1.89  1.89 1.895  1.89
[4,] 1.89 1.89 1.89 1.890 1.890 1.890 1.890 1.90 1.90  1.92 1.930  1.92
[5,] 1.95 1.96 1.96 1.960 1.960 1.960 1.970 1.97 1.97  1.97 1.970  1.97

$n
 [1] 6 6 6 6 6 6 6 6 6 6 6 6

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.770345 1.776795 1.783245 1.788245 1.794695 1.794695 1.794695 1.799695
[2,] 1.989655 1.983205 1.976755 1.981755 1.975305 1.975305 1.975305 1.980305
         [,9]    [,10]    [,11]    [,12]
[1,] 1.819046 1.831947 1.836947 1.844848
[2,] 1.960954 1.948053 1.953053 1.935152

$out
[1] 1.70 1.71

$group
[1] 11 12

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

Warning message:
In bxp(list(stats = c(1.65, 1.72, 1.88, 1.89, 1.95, 1.66, 1.73,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/57owm1358278358.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(t(darr))
> names(z) <- c(1:par1)
> (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries'))
$stats
      [,1] [,2] [,3] [,4] [,5] [,6]  [,7] [,8]  [,9] [,10] [,11] [,12]
[1,] 0.000    0 0.00 0.00    0    0 0.000 0.00 0.000 0.000 -0.01  0.00
[2,] 0.000    0 0.00 0.00    0    0 0.000 0.00 0.000 0.000 -0.01  0.00
[3,] 0.005    0 0.00 0.00    0    0 0.005 0.00 0.005 0.005  0.00  0.01
[4,] 0.010    0 0.01 0.01    0    0 0.010 0.01 0.020 0.010  0.01  0.02
[5,] 0.010    0 0.01 0.01    0    0 0.010 0.01 0.040 0.010  0.01  0.03

$n
 [1] 6 6 6 6 6 6 6 6 6 6 6 5

$conf
             [,1] [,2]         [,3]         [,4] [,5] [,6]         [,7]
[1,] -0.001450323    0 -0.006450323 -0.006450323    0    0 -0.001450323
[2,]  0.011450323    0  0.006450323  0.006450323    0    0  0.011450323
             [,8]         [,9]        [,10]       [,11]       [,12]
[1,] -0.006450323 -0.007900646 -0.001450323 -0.01290065 -0.00413195
[2,]  0.006450323  0.017900646  0.011450323  0.01290065  0.02413195

$out
[1] 0.01 0.01 0.03

$group
[1] 2 6 8

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

Warning message:
In bxp(list(stats = c(0, 0, 0.005, 0.01, 0.01, 0, 0, 0, 0, 0, 0,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/63vvq1358278358.ps",horizontal=F,onefile=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]
[1,] 1.650 1.72 1.870 1.89 1.89 1.950   NA
[2,] 1.665 1.74 1.875 1.89 1.89 1.960   NA
[3,] 1.680 1.75 1.880 1.89 1.89 1.965   NA
[4,] 1.695 1.81 1.890 1.89 1.91 1.970   NA
[5,] 1.710 1.85 1.900 1.89 1.93 1.970   NA

$n
[1] 12 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3] [,4]     [,5]     [,6] [,7]
[1,] 1.666317 1.718073 1.873158 1.89 1.880878 1.960439   NA
[2,] 1.693683 1.781927 1.886842 1.89 1.899122 1.969561   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.65, 1.665, 1.68, 1.695, 1.71, 1.72, 1.74,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/7q5g31358278358.ps",horizontal=F,onefile=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,] 1.828333 1.8800 1.823750
[2,] 1.836667 1.8825 1.831875
[3,] 1.842500 1.8850 1.836250
[4,] 1.860833 1.8900 1.867500
[5,] 1.871667 1.8950 1.887500

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 1.831477 1.881579 1.820001
[2,] 1.853523 1.888421 1.852499

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.82833333333333, 1.83666666666667, 1.8425,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/16ct21358278358.ps tmp/16ct21358278358.png",intern=TRUE))
character(0)
> try(system("convert tmp/21mw11358278358.ps tmp/21mw11358278358.png",intern=TRUE))
character(0)
> try(system("convert tmp/36a3m1358278358.ps tmp/36a3m1358278358.png",intern=TRUE))
character(0)
> try(system("convert tmp/4n3tj1358278358.ps tmp/4n3tj1358278358.png",intern=TRUE))
character(0)
> try(system("convert tmp/57owm1358278358.ps tmp/57owm1358278358.png",intern=TRUE))
character(0)
> try(system("convert tmp/63vvq1358278358.ps tmp/63vvq1358278358.png",intern=TRUE))
character(0)
> try(system("convert tmp/7q5g31358278358.ps tmp/7q5g31358278358.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.622   1.013   4.653