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(4.69,4.69,4.69,4.69,4.69,4.69,4.69,4.73,4.78,4.79,4.79,4.8,4.8,4.81,5.16,5.26,5.29,5.29,5.29,5.3,5.3,5.3,5.3,5.3,5.3,5.3,5.3,5.35,5.44,5.47,5.47,5.48,5.48,5.48,5.48,5.48,5.48,5.48,5.5,5.55,5.57,5.58,5.58,5.58,5.59,5.59,5.59,5.55,5.61,5.61,5.61,5.63,5.69,5.7,5.7,5.7,5.7,5.7,5.7,5.7,5.7,5.7,5.7,5.71,5.74,5.77,5.79,5.79,5.8,5.8,5.8,5.8)
> 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,] 4.69 4.80 5.30 5.48 5.61 5.70   NA
 [2,] 4.69 4.81 5.30 5.48 5.61 5.70   NA
 [3,] 4.69 5.16 5.30 5.50 5.61 5.70   NA
 [4,] 4.69 5.26 5.35 5.55 5.63 5.71   NA
 [5,] 4.69 5.29 5.44 5.57 5.69 5.74   NA
 [6,] 4.69 5.29 5.47 5.58 5.70 5.77   NA
 [7,] 4.69 5.29 5.47 5.58 5.70 5.79   NA
 [8,] 4.73 5.30 5.48 5.58 5.70 5.79   NA
 [9,] 4.78 5.30 5.48 5.59 5.70 5.80   NA
[10,] 4.79 5.30 5.48 5.59 5.70 5.80   NA
[11,] 4.79 5.30 5.48 5.59 5.70 5.80   NA
[12,] 4.80 5.30 5.48 5.55 5.70 5.80   NA
> darr
      [,1] [,2] [,3]  [,4] [,5] [,6] [,7]
 [1,] 0.00 0.01 0.00  0.00 0.00 0.00   NA
 [2,] 0.00 0.35 0.00  0.02 0.00 0.00   NA
 [3,] 0.00 0.10 0.05  0.05 0.02 0.01   NA
 [4,] 0.00 0.03 0.09  0.02 0.06 0.03   NA
 [5,] 0.00 0.00 0.03  0.01 0.01 0.03   NA
 [6,] 0.00 0.00 0.00  0.00 0.00 0.02   NA
 [7,] 0.04 0.01 0.01  0.00 0.00 0.00   NA
 [8,] 0.05 0.00 0.00  0.01 0.00 0.01   NA
 [9,] 0.01 0.00 0.00  0.00 0.00 0.00   NA
[10,] 0.00 0.00 0.00  0.00 0.00 0.00   NA
[11,] 0.01 0.00 0.00 -0.04 0.00 0.00   NA
[12,] 0.00 0.00 0.00  0.06 0.00   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/18coz1362692627.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/2be4q1362692627.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/31ke21362692627.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/4jswg1362692627.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,] 4.69 4.69 4.69 5.26 4.690 4.690 4.690 4.73 4.780 4.790 4.790 4.800
[2,] 4.80 4.81 5.16 5.26 5.290 5.290 5.290 5.30 5.300 5.300 5.300 5.300
[3,] 5.39 5.39 5.40 5.45 5.505 5.525 5.525 5.53 5.535 5.535 5.535 5.515
[4,] 5.61 5.61 5.61 5.63 5.690 5.700 5.700 5.70 5.700 5.700 5.700 5.700
[5,] 5.70 5.70 5.70 5.71 5.740 5.770 5.790 5.79 5.800 5.800 5.800 5.800

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 4.867524 4.873974 5.109735 5.211338 5.246987 5.260537 5.260537 5.271987
[2,] 5.912476 5.906026 5.690265 5.688662 5.763013 5.789463 5.789463 5.788013
         [,9]    [,10]    [,11]    [,12]
[1,] 5.276987 5.276987 5.276987 5.256987
[2,] 5.793013 5.793013 5.793013 5.773013

$out
[1] 4.69

$group
[1] 4

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

Warning message:
In bxp(list(stats = c(4.69, 4.8, 5.39, 5.61, 5.7, 4.69, 4.81, 5.39,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/5npd71362692627.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 0.00 0.000 0.00 0.00    0 0.000 0.000    0     0     0     0
[2,]    0 0.00 0.010 0.02 0.00    0 0.000 0.000    0     0     0     0
[3,]    0 0.00 0.035 0.03 0.01    0 0.005 0.005    0     0     0     0
[4,]    0 0.02 0.050 0.06 0.03    0 0.010 0.010    0     0     0     0
[5,]    0 0.02 0.100 0.09 0.03    0 0.010 0.010    0     0     0     0

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

$conf
     [,1]        [,2]        [,3]        [,4]         [,5] [,6]         [,7]
[1,]    0 -0.01290065 0.009198708 0.004198708 -0.009350969    0 -0.001450323
[2,]    0  0.01290065 0.060801292 0.055801292  0.029350969    0  0.011450323
             [,8] [,9] [,10] [,11] [,12]
[1,] -0.001450323    0     0     0     0
[2,]  0.011450323    0     0     0     0

$out
[1]  0.01  0.35  0.02  0.04  0.05  0.01  0.01 -0.04  0.06

$group
[1]  1  2  6  7  8  9 11 11 12

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

Warning message:
In bxp(list(stats = c(0, 0, 0, 0, 0, 0, 0, 0, 0.0199999999999996,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6ci6v1362692627.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,] 4.690 5.16 5.300 5.480 5.61 5.700   NA
[2,] 4.690 5.21 5.325 5.525 5.62 5.705   NA
[3,] 4.690 5.29 5.470 5.575 5.70 5.780   NA
[4,] 4.785 5.30 5.480 5.585 5.70 5.800   NA
[5,] 4.800 5.30 5.480 5.590 5.70 5.800   NA

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

$conf
        [,1]    [,2]     [,3]     [,4]     [,5]    [,6] [,7]
[1,] 4.64667 5.24895 5.399303 5.547634 5.663511 5.73667   NA
[2,] 4.73333 5.33105 5.540697 5.602366 5.736489 5.82333   NA

$out
[1] 4.80 4.81

$group
[1] 2 2

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

Warning message:
In bxp(list(stats = c(4.69, 4.69, 4.69, 4.785, 4.8, 5.16, 5.21,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/7xkjg1362692627.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,] 5.263333 5.3900 5.388750
[2,] 5.345833 5.4250 5.417500
[3,] 5.418333 5.5200 5.502500
[4,] 5.440000 5.5325 5.508125
[5,] 5.443333 5.5350 5.508750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 5.375383 5.470969 5.461165
[2,] 5.461283 5.569031 5.543835

$out
[1] 5.25125 5.25500

$group
[1] 3 3

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

Warning message:
In bxp(list(stats = c(5.26333333333333, 5.34583333333333, 5.41833333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/18coz1362692627.ps tmp/18coz1362692627.png",intern=TRUE))
character(0)
> try(system("convert tmp/2be4q1362692627.ps tmp/2be4q1362692627.png",intern=TRUE))
character(0)
> try(system("convert tmp/31ke21362692627.ps tmp/31ke21362692627.png",intern=TRUE))
character(0)
> try(system("convert tmp/4jswg1362692627.ps tmp/4jswg1362692627.png",intern=TRUE))
character(0)
> try(system("convert tmp/5npd71362692627.ps tmp/5npd71362692627.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ci6v1362692627.ps tmp/6ci6v1362692627.png",intern=TRUE))
character(0)
> try(system("convert tmp/7xkjg1362692627.ps tmp/7xkjg1362692627.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.502   0.540   4.030