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(37.3,39.5,40.6,41.4,41.3,43.5,44,44.9,46.4,47.4,48.7,49.7,51.1,53.2,56.2,58.1,60.6,64.1,67.4,68,70.9,72.8,74.9,76.1,77,78.1,80,79.7,82.7,84.3,83.5,85.9,87,88.6,90.6,91.3,91.6,93.2,95,95.2,97.4,98.6,99.6,100.6,101.3,102.8,103.2,103,105.4,104.7,105.2,105.2,102.8,100.3,99.8,99.4,100.6,100.2,100.4,98.8,96.9,96.3,96.1,93.5,92.1,91.7,87.9,86.4,84.9,81.7,82.6,83.1)
> par1 = '4'
> par1 <- '4'
> #'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] 18
> 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] 18 18 18 18
> arr
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14]
[1,] 37.3 41.3 46.4 51.1 60.6 70.9 77.0 82.7 87.0  91.6  97.4 101.3 105.4 102.8
[2,] 39.5 43.5 47.4 53.2 64.1 72.8 78.1 84.3 88.6  93.2  98.6 102.8 104.7 100.3
[3,] 40.6 44.0 48.7 56.2 67.4 74.9 80.0 83.5 90.6  95.0  99.6 103.2 105.2  99.8
[4,] 41.4 44.9 49.7 58.1 68.0 76.1 79.7 85.9 91.3  95.2 100.6 103.0 105.2  99.4
     [,15] [,16] [,17] [,18] [,19]
[1,] 100.6  96.9  92.1  84.9    NA
[2,] 100.2  96.3  91.7  81.7    NA
[3,] 100.4  96.1  87.9  82.6    NA
[4,]  98.8  93.5  86.4  83.1    NA
> darr
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14]
[1,]  2.2  2.2  1.0  2.1  3.5  1.9  1.1  1.6  1.6   1.6   1.2   1.5  -0.7  -2.5
[2,]  1.1  0.5  1.3  3.0  3.3  2.1  1.9 -0.8  2.0   1.8   1.0   0.4   0.5  -0.5
[3,]  0.8  0.9  1.0  1.9  0.6  1.2 -0.3  2.4  0.7   0.2   1.0  -0.2   0.0  -0.4
[4,] -0.1  1.5  1.4  2.5  2.9  0.9  3.0  1.1  0.3   2.2   0.7   2.4  -2.4   1.2
     [,15] [,16] [,17] [,18] [,19]
[1,]  -0.4  -0.6  -0.4  -3.2    NA
[2,]   0.2  -0.2  -3.8   0.9    NA
[3,]  -1.6  -2.6  -1.5   0.5    NA
[4,]  -1.9  -1.4  -1.5    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/1brbk1413025934.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/2ql2q1413025934.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/32x3j1413025934.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/4u0n41413025935.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]
[1,]  37.30  39.50  40.6  41.40
[2,]  60.60  64.10  67.4  68.00
[3,]  85.95  86.45  85.7  86.15
[4,]  97.40  98.60  99.6  98.80
[5,] 105.40 104.70 105.2 105.20

$n
[1] 18 18 18 18

$conf
         [,1]     [,2]     [,3]     [,4]
[1,] 72.24533 73.60187 73.70841 74.67979
[2,] 99.65467 99.29813 97.69159 97.62021

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" "2" "3" "4"

Warning message:
In bxp(list(stats = c(37.3, 60.6, 85.95, 97.4, 105.4, 39.5, 64.1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5d3ok1413025935.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]
[1,] -3.20 -0.80 -1.60 -2.4
[2,] -0.40  0.20 -0.30 -0.1
[3,]  1.35  0.95  0.55  1.1
[4,]  1.90  1.90  1.00  2.2
[5,]  3.50  3.30  2.40  3.0

$n
[1] 18 18 18 17

$conf
         [,1]      [,2]       [,3]      [,4]
[1,] 0.493458 0.3169037 0.06586756 0.2186255
[2,] 2.206542 1.5830963 1.03413244 1.9813745

$out
[1] -3.8 -2.6

$group
[1] 2 3

$names
[1] "1" "2" "3" "4"

Warning message:
In bxp(list(stats = c(-3.2, -0.399999999999991, 1.34999999999999,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6eqoy1413025935.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] [,8]  [,9] [,10] [,11]  [,12]
[1,] 37.30 41.30 46.40 51.10 60.60 70.90 77.00 82.7 87.00  91.6  97.4 101.30
[2,] 38.40 42.40 46.90 52.15 62.35 71.85 77.55 83.1 87.80  92.4  98.0 102.05
[3,] 40.05 43.75 48.05 54.70 65.75 73.85 78.90 83.9 89.60  94.1  99.1 102.90
[4,] 41.00 44.45 49.20 57.15 67.70 75.50 79.85 85.1 90.95  95.1 100.1 103.10
[5,] 41.40 44.90 49.70 58.10 68.00 76.10 80.00 85.9 91.30  95.2 100.6 103.20
      [,13]  [,14] [,15] [,16] [,17] [,18] [,19]
[1,] 104.70  99.40  98.8  93.5 86.40 81.70    NA
[2,] 104.95  99.60  99.5  94.8 87.15 82.15    NA
[3,] 105.20 100.05 100.3  96.2 89.80 82.85    NA
[4,] 105.30 101.55 100.5  96.6 91.90 84.00    NA
[5,] 105.40 102.80 100.6  96.9 92.10 84.90    NA

$n
 [1] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 0

$conf
       [,1]    [,2]   [,3]  [,4]    [,5]    [,6]   [,7]  [,8]    [,9]  [,10]
[1,] 37.996 42.1305 46.233 50.75 61.5235 70.9665 77.083 82.32 87.1115 91.967
[2,] 42.104 45.3695 49.867 58.65 69.9765 76.7335 80.717 85.48 92.0885 96.233
       [,11]    [,12]    [,13]    [,14]  [,15]  [,16]   [,17]   [,18] [,19]
[1,]  97.441 102.0705 104.9235  98.5095  99.51 94.778 86.0475 81.3885    NA
[2,] 100.759 103.7295 105.4765 101.5905 101.09 97.622 93.5525 84.3115    NA

$out
numeric(0)

$group
numeric(0)

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12" "13" "14" "15"
[16] "16" "17" "18" NA  

Warning message:
In bxp(list(stats = c(37.3, 38.4, 40.05, 41, 41.4, 41.3, 42.4, 43.75,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7c2761413025935.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,] 79.29444 85.700 80.22500
[2,] 79.67500 85.825 81.18750
[3,] 80.46389 86.050 83.05625
[4,] 81.00000 86.300 83.98125
[5,] 81.12778 86.450 84.00000

$n
[1] 4 4 4

$conf
         [,1]     [,2]     [,3]
[1,] 79.41714 85.67475 80.84919
[2,] 81.51064 86.42525 85.26331

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(79.2944444444445, 79.675, 80.4638888888889,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1brbk1413025934.ps tmp/1brbk1413025934.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ql2q1413025934.ps tmp/2ql2q1413025934.png",intern=TRUE))
character(0)
> try(system("convert tmp/32x3j1413025934.ps tmp/32x3j1413025934.png",intern=TRUE))
character(0)
> try(system("convert tmp/4u0n41413025935.ps tmp/4u0n41413025935.png",intern=TRUE))
character(0)
> try(system("convert tmp/5d3ok1413025935.ps tmp/5d3ok1413025935.png",intern=TRUE))
character(0)
> try(system("convert tmp/6eqoy1413025935.ps tmp/6eqoy1413025935.png",intern=TRUE))
character(0)
> try(system("convert tmp/7c2761413025935.ps tmp/7c2761413025935.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.395   0.325   2.752