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(18.3,18.6,18.7,20.1,18.9,20.1,19.8,15.9,19.9,19.6,15.6,14.2,13.6,13.9,15,14.1,13.5,15.3,14.7,12.5,16.1,15.9,15.9,15.7,14.7,15.3,18.4,16.8,16.5,19.3,17.1,15.7,19.1,18.6,18.4,17.1,18.3,19.4,22.3,19.4,21.3,20.3,19.3,17.5,19.9,19.6,19.7,18.1,19.1,20.7,22.5,20,20.2,20.4,19.6,18.1,19.3,21,19.9,17.7,19.4,19.3,21.5,20.9,20.8,20.3,21.4,17.4,21.1,22,20.4,19)
> 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,] 18.3 13.6 14.7 18.3 19.1 19.4   NA
 [2,] 18.6 13.9 15.3 19.4 20.7 19.3   NA
 [3,] 18.7 15.0 18.4 22.3 22.5 21.5   NA
 [4,] 20.1 14.1 16.8 19.4 20.0 20.9   NA
 [5,] 18.9 13.5 16.5 21.3 20.2 20.8   NA
 [6,] 20.1 15.3 19.3 20.3 20.4 20.3   NA
 [7,] 19.8 14.7 17.1 19.3 19.6 21.4   NA
 [8,] 15.9 12.5 15.7 17.5 18.1 17.4   NA
 [9,] 19.9 16.1 19.1 19.9 19.3 21.1   NA
[10,] 19.6 15.9 18.6 19.6 21.0 22.0   NA
[11,] 15.6 15.9 18.4 19.7 19.9 20.4   NA
[12,] 14.2 15.7 17.1 18.1 17.7 19.0   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,]  0.3  0.3  0.6  1.1  1.6 -0.1   NA
 [2,]  0.1  1.1  3.1  2.9  1.8  2.2   NA
 [3,]  1.4 -0.9 -1.6 -2.9 -2.5 -0.6   NA
 [4,] -1.2 -0.6 -0.3  1.9  0.2 -0.1   NA
 [5,]  1.2  1.8  2.8 -1.0  0.2 -0.5   NA
 [6,] -0.3 -0.6 -2.2 -1.0 -0.8  1.1   NA
 [7,] -3.9 -2.2 -1.4 -1.8 -1.5 -4.0   NA
 [8,]  4.0  3.6  3.4  2.4  1.2  3.7   NA
 [9,] -0.3 -0.2 -0.5 -0.3  1.7  0.9   NA
[10,] -4.0  0.0 -0.2  0.1 -1.1 -1.6   NA
[11,] -1.4 -0.2 -1.3 -1.6 -2.2 -1.4   NA
[12,] -0.6 -1.0  1.2  1.0  1.7   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/1iaic1413375871.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/2btn41413375871.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/3h29f1413375871.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/4qn5y1413375871.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,] 13.6 13.90 15.0 14.1 13.50 19.3 14.70 15.70 19.1  15.9 15.60  14.2
[2,] 14.7 15.30 18.4 16.8 16.50 19.3 17.10 15.70 19.1  18.6 15.90  15.7
[3,] 18.3 18.95 20.1 19.7 19.55 20.2 19.45 16.65 19.6  19.6 19.05  17.4
[4,] 19.1 19.40 22.3 20.1 20.80 20.3 19.80 17.50 19.9  21.0 19.90  18.1
[5,] 19.4 20.70 22.5 20.9 21.30 20.4 21.40 18.10 19.9  22.0 20.40  19.0

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 15.46186 16.30537 17.58437 17.57139 16.77636 19.55497 17.70841 15.48894
[2,] 21.13814 21.59463 22.61563 21.82861 22.32364 20.84503 21.19159 17.81106
         [,9]    [,10]    [,11]    [,12]
[1,] 19.08397 18.05192 16.46987 15.85192
[2,] 20.11603 21.14808 21.63013 18.94808

$out
[1] 15.3 12.5 16.1 21.1

$group
[1] 6 8 9 9

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

Warning message:
In bxp(list(stats = c(13.6, 14.7, 18.3, 19.1, 19.4, 13.9, 15.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5vxcl1413375871.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,] -0.10  0.1 -2.90 -1.2 -1.0 -1.0 -4.0  1.2 -0.50 -4.00  -1.6  -1.0
[2,]  0.30  1.1 -2.50 -0.6 -0.5 -1.0 -3.9  2.4 -0.30 -1.60  -1.6  -0.6
[3,]  0.45  2.0 -1.25 -0.2  0.7 -0.7 -2.0  3.5 -0.25 -0.65  -1.4   1.0
[4,]  1.10  2.9 -0.60  0.2  1.8 -0.3 -1.5  3.7  0.90  0.00  -1.3   1.2
[5,]  1.60  3.1  1.40  0.2  2.8 -0.3 -1.4  4.0  1.70  0.10  -1.3   1.7

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

$conf
            [,1]      [,2]        [,3]       [,4]       [,5]       [,6]
[1,] -0.06602584 0.8389419 -2.47556137 -0.7160258 -0.7835743 -1.1515226
[2,]  0.96602584 3.1610581 -0.02443863  0.3160258  2.1835743 -0.2484774
           [,7]     [,8]       [,9]      [,10]    [,11]      [,12]
[1,] -3.5480775 2.661458 -1.0240388 -1.6820517 -1.59351 -0.2718755
[2,] -0.4519225 4.338542  0.5240388  0.3820517 -1.20649  2.2718755

$out
[1]  1.9 -2.2  1.1 -0.2 -2.2

$group
[1]  4  6  6 11 11

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

Warning message:
In bxp(list(stats = c(-0.0999999999999979, 0.300000000000001, 0.450000000000001,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/67c3m1413375871.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,] 14.20 12.50 14.7 17.5 17.70 17.40   NA
[2,] 17.10 13.75 16.1 18.8 19.20 19.35   NA
[3,] 18.80 14.85 17.1 19.5 19.95 20.60   NA
[4,] 19.85 15.80 18.5 20.1 20.55 21.25   NA
[5,] 20.10 16.10 19.3 21.3 22.50 22.00   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]    [,6] [,7]
[1,] 17.54571 13.91498 16.00534 18.90706 19.33426 19.7334   NA
[2,] 20.05429 15.78502 18.19466 20.09294 20.56574 21.4666   NA

$out
[1] 22.3

$group
[1] 4

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

Warning message:
In bxp(list(stats = c(14.2, 17.1, 18.8, 19.85, 20.1, 12.5, 13.75,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7r3121413375871.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,] 16.18333 17.400 16.61250
[2,] 17.55000 18.625 17.50000
[3,] 18.54167 19.500 18.73125
[4,] 19.25833 19.650 19.63750
[5,] 19.73333 20.200 20.28750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 17.76248 19.03249 17.75632
[2,] 19.32085 19.96751 19.70618

$out
[1] 16.65

$group
[1] 2

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

Warning message:
In bxp(list(stats = c(16.1833333333333, 17.55, 18.5416666666667,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1iaic1413375871.ps tmp/1iaic1413375871.png",intern=TRUE))
character(0)
> try(system("convert tmp/2btn41413375871.ps tmp/2btn41413375871.png",intern=TRUE))
character(0)
> try(system("convert tmp/3h29f1413375871.ps tmp/3h29f1413375871.png",intern=TRUE))
character(0)
> try(system("convert tmp/4qn5y1413375871.ps tmp/4qn5y1413375871.png",intern=TRUE))
character(0)
> try(system("convert tmp/5vxcl1413375871.ps tmp/5vxcl1413375871.png",intern=TRUE))
character(0)
> try(system("convert tmp/67c3m1413375871.ps tmp/67c3m1413375871.png",intern=TRUE))
character(0)
> try(system("convert tmp/7r3121413375871.ps tmp/7r3121413375871.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.488   0.435   2.944