R version 3.3.2 (2016-10-31) -- "Sincere Pumpkin Patch"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(93.65,92.68,92.70,92.73,92.80,92.86,93.02,93.02,93.04,93.09,93.11,93.11,93.20,93.21,93.22,93.23,93.29,93.42,93.43,93.45,93.45,93.49,93.50,93.56,93.68,93.70,94.01,94.07,94.33,94.43,94.47,95.35,95.37,95.46,95.83,96.00,96.85,97.84,98.38,98.90,99.51,99.93,99.95,101.40,101.56,101.65,101.70,101.91,101.91,102.29,102.33,102.44,102.57,102.59,102.84,102.88,103.04,103.16,103.20,103.23,103.27,103.31,103.59,104.35,104.55,104.60,104.67,104.93,105.08,105.15,109.25,109.82)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 30 Nov 2015 07:01:18 +0000)
> #Author: root
> #To cite this work: Wessa P., (2015), Mean Plot (v1.0.5) 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)
> x <- na.omit(x)
> (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,] 93.65 93.20 93.68  96.85 101.91 103.27   NA
 [2,] 92.68 93.21 93.70  97.84 102.29 103.31   NA
 [3,] 92.70 93.22 94.01  98.38 102.33 103.59   NA
 [4,] 92.73 93.23 94.07  98.90 102.44 104.35   NA
 [5,] 92.80 93.29 94.33  99.51 102.57 104.55   NA
 [6,] 92.86 93.42 94.43  99.93 102.59 104.60   NA
 [7,] 93.02 93.43 94.47  99.95 102.84 104.67   NA
 [8,] 93.02 93.45 95.35 101.40 102.88 104.93   NA
 [9,] 93.04 93.45 95.37 101.56 103.04 105.08   NA
[10,] 93.09 93.49 95.46 101.65 103.16 105.15   NA
[11,] 93.11 93.50 95.83 101.70 103.20 109.25   NA
[12,] 93.11 93.56 96.00 101.91 103.23 109.82   NA
> darr
       [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] -0.97 0.01 0.02 0.99 0.38 0.04   NA
 [2,]  0.02 0.01 0.31 0.54 0.04 0.28   NA
 [3,]  0.03 0.01 0.06 0.52 0.11 0.76   NA
 [4,]  0.07 0.06 0.26 0.61 0.13 0.20   NA
 [5,]  0.06 0.13 0.10 0.42 0.02 0.05   NA
 [6,]  0.16 0.01 0.04 0.02 0.25 0.07   NA
 [7,]  0.00 0.02 0.88 1.45 0.04 0.26   NA
 [8,]  0.02 0.00 0.02 0.16 0.16 0.15   NA
 [9,]  0.05 0.04 0.09 0.09 0.12 0.07   NA
[10,]  0.02 0.01 0.37 0.05 0.04 4.10   NA
[11,]  0.00 0.06 0.17 0.21 0.03 0.57   NA
[12,]  0.09 0.12 0.85 0.00 0.04   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/1jz8t1489398714.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/2o4nr1489398714.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/3gzil1489398714.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/4wvpf1489398714.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]
[1,]  93.200  92.68  92.700  92.730  92.80  92.86  93.02  93.020  93.040
[2,]  93.650  93.21  93.220  93.230  93.29  93.42  93.43  93.450  93.450
[3,]  95.265  95.77  96.195  96.485  96.92  97.18  97.21  98.375  98.465
[4,] 101.910 102.29 102.330 102.440 102.57 102.59 102.84 102.880 103.040
[5,] 103.270 103.31 103.590 104.350 104.55 104.60 104.67 104.930 105.080
       [,10]   [,11]   [,12]
[1,]  93.090  93.110  93.110
[2,]  93.490  93.500  93.560
[3,]  98.555  98.765  98.955
[4,] 103.160 103.200 103.230
[5,] 105.150 109.250 109.820

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

$conf
          [,1]      [,2]      [,3]      [,4]     [,5]      [,6]      [,7]
[1,]  89.93703  89.91311  90.31876  90.54425  90.9341  91.26505  91.14025
[2,] 100.59297 101.62689 102.07124 102.42575 102.9059 103.09495 103.27975
          [,8]      [,9]     [,10]     [,11]     [,12]
[1,]  92.29235  92.27914  92.31754  92.50819  92.71754
[2,] 104.45765 104.65086 104.79246 105.02181 105.19246

$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(93.2, 93.65, 95.265, 101.91, 103.27, 92.68,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/55mgo1489398714.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,] 0.01 0.01 0.010 0.060 0.02 0.010 0.00 0.000 0.04 0.010 0.000  0.00
[2,] 0.01 0.02 0.030 0.070 0.05 0.020 0.02 0.020 0.05 0.020 0.030  0.04
[3,] 0.03 0.16 0.085 0.165 0.08 0.055 0.15 0.085 0.08 0.045 0.115  0.09
[4,] 0.38 0.31 0.520 0.260 0.13 0.160 0.88 0.160 0.09 0.370 0.210  0.12
[5,] 0.38 0.54 0.760 0.260 0.13 0.250 1.45 0.160 0.12 0.370 0.210  0.12

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

$conf
          [,1]        [,2]       [,3]       [,4]       [,5]        [,6]
[1,] -0.208662 -0.02705937 -0.2310658 0.04244386 0.02839742 -0.03530452
[2,]  0.268662  0.34705937  0.4010658 0.28755614 0.13160258  0.14530452
           [,7]         [,8]       [,9]      [,10]        [,11]     [,12]
[1,] -0.4047278 -0.005304522 0.05419871 -0.1807613 -0.001105814 0.0334722
[2,]  0.7047278  0.175304522 0.10580129  0.2707613  0.231105814 0.1465278

$out
[1] -0.97  0.99  0.61  0.42  4.10  0.57  0.85

$group
[1]  1  1  4  5 10 11 12

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

Warning message:
In bxp(list(stats = c(0.00999999999999091, 0.00999999999999091,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6l4311489398714.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,] 92.680 93.200 93.680  96.850 101.910 103.270   NA
[2,] 92.765 93.225 94.040  98.640 102.385 103.970   NA
[3,] 93.020 93.425 94.450  99.940 102.715 104.635   NA
[4,] 93.100 93.470 95.415 101.605 103.100 105.115   NA
[5,] 93.110 93.560 96.000 101.910 103.230 105.150   NA

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

$conf
        [,1]     [,2]     [,3]      [,4]     [,5]     [,6] [,7]
[1,] 92.8672 93.31325 93.82285  98.58764 102.3889 104.1128   NA
[2,] 93.1728 93.53675 95.07715 101.29236 103.0411 105.1572   NA

$out
[1]  93.65 109.25 109.82

$group
[1] 1 6 6

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

Warning message:
In bxp(list(stats = c(92.68, 92.765, 93.02, 93.1, 93.11, 93.2, 93.225,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/72czt1489398714.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,] 97.09333 95.265 97.15125
[2,] 97.49583 96.340 97.43875
[3,] 98.01750 97.195 97.85125
[4,] 98.62833 98.510 98.34125
[5,] 99.60500 98.955 98.53500

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 97.50096 96.20525 97.43961
[2,] 98.53404 98.18475 98.26289

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(97.0933333333333, 97.4958333333333, 98.0175,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1jz8t1489398714.ps tmp/1jz8t1489398714.png",intern=TRUE))
character(0)
> try(system("convert tmp/2o4nr1489398714.ps tmp/2o4nr1489398714.png",intern=TRUE))
character(0)
> try(system("convert tmp/3gzil1489398714.ps tmp/3gzil1489398714.png",intern=TRUE))
character(0)
> try(system("convert tmp/4wvpf1489398714.ps tmp/4wvpf1489398714.png",intern=TRUE))
character(0)
> try(system("convert tmp/55mgo1489398714.ps tmp/55mgo1489398714.png",intern=TRUE))
character(0)
> try(system("convert tmp/6l4311489398714.ps tmp/6l4311489398714.png",intern=TRUE))
character(0)
> try(system("convert tmp/72czt1489398714.ps tmp/72czt1489398714.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.508   0.158   2.726