R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(1.5,1.439,1.49,1.502,1.531,1.611,1.644,1.559,1.553,1.494,1.298,1.215,1.179,1.267,1.282,1.304,1.32,1.413,1.38,1.426,1.394,1.354,1.415,1.406,1.44,1.449,1.489,1.53,1.548,1.518,1.507,1.499,1.487,1.487,1.491,1.56,1.587,1.584,1.647,1.666,1.699,1.671,1.622,1.669,1.663,1.624,1.621,1.607,1.671,1.699,1.751,1.821,1.77,1.734,1.703,1.752,1.823,1.827,1.773,1.75,1.733,1.765,1.791,1.773,1.712,1.735,1.729,1.769,1.776,1.709,1.678,1.691)
> 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,] 1.500 1.179 1.440 1.587 1.671 1.733   NA
 [2,] 1.439 1.267 1.449 1.584 1.699 1.765   NA
 [3,] 1.490 1.282 1.489 1.647 1.751 1.791   NA
 [4,] 1.502 1.304 1.530 1.666 1.821 1.773   NA
 [5,] 1.531 1.320 1.548 1.699 1.770 1.712   NA
 [6,] 1.611 1.413 1.518 1.671 1.734 1.735   NA
 [7,] 1.644 1.380 1.507 1.622 1.703 1.729   NA
 [8,] 1.559 1.426 1.499 1.669 1.752 1.769   NA
 [9,] 1.553 1.394 1.487 1.663 1.823 1.776   NA
[10,] 1.494 1.354 1.487 1.624 1.827 1.709   NA
[11,] 1.298 1.415 1.491 1.621 1.773 1.678   NA
[12,] 1.215 1.406 1.560 1.607 1.750 1.691   NA
> darr
        [,1]   [,2]   [,3]   [,4]   [,5]   [,6] [,7]
 [1,] -0.061  0.088  0.009 -0.003  0.028  0.032   NA
 [2,]  0.051  0.015  0.040  0.063  0.052  0.026   NA
 [3,]  0.012  0.022  0.041  0.019  0.070 -0.018   NA
 [4,]  0.029  0.016  0.018  0.033 -0.051 -0.061   NA
 [5,]  0.080  0.093 -0.030 -0.028 -0.036  0.023   NA
 [6,]  0.033 -0.033 -0.011 -0.049 -0.031 -0.006   NA
 [7,] -0.085  0.046 -0.008  0.047  0.049  0.040   NA
 [8,] -0.006 -0.032 -0.012 -0.006  0.071  0.007   NA
 [9,] -0.059 -0.040  0.000 -0.039  0.004 -0.067   NA
[10,] -0.196  0.061  0.004 -0.003 -0.054 -0.031   NA
[11,] -0.083 -0.009  0.069 -0.014 -0.023  0.013   NA
[12,] -0.036  0.034  0.027  0.064 -0.017     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/wessaorg/rcomp/tmp/1c7an1413750577.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/wessaorg/rcomp/tmp/21u691413750577.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/wessaorg/rcomp/tmp/3wkrj1413750577.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/wessaorg/rcomp/tmp/4jbve1413750577.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]
[1,] 1.1790 1.2670 1.2820 1.304 1.3200 1.413 1.380 1.426 1.394 1.354 1.298
[2,] 1.4400 1.4390 1.4890 1.502 1.5310 1.518 1.507 1.499 1.487 1.487 1.415
[3,] 1.5435 1.5165 1.5685 1.598 1.6235 1.641 1.633 1.614 1.608 1.559 1.556
[4,] 1.6710 1.6990 1.7510 1.773 1.7120 1.734 1.703 1.752 1.776 1.709 1.678
[5,] 1.7330 1.7650 1.7910 1.821 1.7700 1.735 1.729 1.769 1.823 1.827 1.773
      [,12]
[1,] 1.2150
[2,] 1.4060
[3,] 1.5835
[4,] 1.6910
[5,] 1.7500

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.394498 1.348792 1.399502 1.423196 1.506749 1.501673 1.506574 1.450807
[2,] 1.692502 1.684208 1.737498 1.772804 1.740251 1.780327 1.759426 1.777193
         [,9]    [,10]    [,11]    [,12]
[1,] 1.421586 1.415803 1.386357 1.399666
[2,] 1.794414 1.702197 1.725643 1.767334

$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(1.179, 1.44, 1.5435, 1.671, 1.733, 1.267,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5twxh1413750577.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]
[1,] -0.0030 0.0150 -0.0180 -0.061 -0.0360 -0.049 -0.085 -0.032 -0.0670 -0.054
[2,] -0.0030 0.0260  0.0120 -0.051 -0.0300 -0.033 -0.008 -0.012 -0.0590 -0.054
[3,]  0.0185 0.0455  0.0205  0.017 -0.0025 -0.021  0.043 -0.006 -0.0395 -0.017
[4,]  0.0320 0.0520  0.0410  0.029  0.0800 -0.006  0.047  0.007  0.0000  0.004
[5,]  0.0320 0.0630  0.0700  0.033  0.0930  0.033  0.049  0.007  0.0040  0.061
       [,11]  [,12]
[1,] -0.0230 -0.036
[2,] -0.0230 -0.017
[3,] -0.0115  0.027
[4,]  0.0130  0.034
[5,]  0.0130  0.064

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

$conf
            [,1]       [,2]        [,3]        [,4]        [,5]         [,6]
[1,] -0.00407613 0.02872916 0.001794063 -0.03460258 -0.07345355 -0.038415872
[2,]  0.04107613 0.06227084 0.039205937  0.06860258  0.06845355 -0.003584128
            [,7]         [,8]         [,9]       [,10]       [,11]        [,12]
[1,] 0.007523224 -0.018255614 -0.077556906 -0.05441187 -0.03472116 -0.009036472
[2,] 0.078476776  0.006255614 -0.001443094  0.02041187  0.01172116  0.063036472

$out
[1] -0.061  0.088  0.071 -0.196 -0.083  0.069

$group
[1]  1  1  8 10 11 11

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

Warning message:
In bxp(list(stats = c(-0.00299999999999989, -0.00299999999999989,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6lzzk1413750577.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,] 1.4390 1.1790 1.440 1.5840 1.6710 1.6780   NA
[2,] 1.4645 1.2930 1.487 1.6140 1.7185 1.7105   NA
[3,] 1.5010 1.3670 1.495 1.6355 1.7515 1.7340   NA
[4,] 1.5560 1.4095 1.524 1.6675 1.7970 1.7710   NA
[5,] 1.6440 1.4260 1.560 1.6990 1.8270 1.7910   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 1.459266 1.313864 1.478124 1.611098 1.715696 1.706406   NA
[2,] 1.542734 1.420136 1.511876 1.659902 1.787304 1.761594   NA

$out
[1] 1.298 1.215

$group
[1] 1 1

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

Warning message:
In bxp(list(stats = c(1.439, 1.4645, 1.501, 1.556, 1.644, 1.179,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7cavy1413750577.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,] 1.518333 1.51650 1.548875
[2,] 1.542083 1.55750 1.556563
[3,] 1.589583 1.59075 1.609563
[4,] 1.605833 1.61875 1.624125
[5,] 1.616000 1.64100 1.629750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 1.560507 1.562813 1.578747
[2,] 1.618660 1.618687 1.640378

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.51833333333333, 1.54208333333333, 1.58958333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1c7an1413750577.ps tmp/1c7an1413750577.png",intern=TRUE))
character(0)
> try(system("convert tmp/21u691413750577.ps tmp/21u691413750577.png",intern=TRUE))
character(0)
> try(system("convert tmp/3wkrj1413750577.ps tmp/3wkrj1413750577.png",intern=TRUE))
character(0)
> try(system("convert tmp/4jbve1413750577.ps tmp/4jbve1413750577.png",intern=TRUE))
character(0)
> try(system("convert tmp/5twxh1413750577.ps tmp/5twxh1413750577.png",intern=TRUE))
character(0)
> try(system("convert tmp/6lzzk1413750577.ps tmp/6lzzk1413750577.png",intern=TRUE))
character(0)
> try(system("convert tmp/7cavy1413750577.ps tmp/7cavy1413750577.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.535   0.385   2.953