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(101.97,103.9,106.85,106.93,107.13,107.07,107.2,107.78,108,108.11,107.26,105.3,105.55,105.38,106.12,106.85,107.92,107.97,107.76,107.99,108.41,107.61,106.54,106.24,106.19,106.71,106.36,107.53,107.89,108,108.05,108.86,109.27,108.87,108.88,108.19,108.19,108.91,110.39,111.21,111.44,111.87,111.88,111.93,111.76,111.66,110.25,109.05,109.47,109.68,110.93,111.86,112.66,112.96,113.14,113.53,113.62,112.51,111,108.49,108.52,110.66,111.15,112.14,113.38,113.75,113.89,113.92,116.4,115.86,115.16,114.45,114.65,114.85,116.51,118.18,118.75,119.06,119.28,119.68,119.28,117.3,114.23,112.56,112.83,112.35,112.8,113.84,115.02,115.46,115,115.3,116.09,115.49,112.89,110.66)
> 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] 96
> (np <- floor(n / par1))
[1] 8
> 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] 8 8 8 8 8 8 8 8 8 8 8 8
> arr
        [,1]   [,2]   [,3]   [,4]   [,5]   [,6]   [,7]   [,8] [,9]
 [1,] 101.97 105.55 106.19 108.19 109.47 108.52 114.65 112.83   NA
 [2,] 103.90 105.38 106.71 108.91 109.68 110.66 114.85 112.35   NA
 [3,] 106.85 106.12 106.36 110.39 110.93 111.15 116.51 112.80   NA
 [4,] 106.93 106.85 107.53 111.21 111.86 112.14 118.18 113.84   NA
 [5,] 107.13 107.92 107.89 111.44 112.66 113.38 118.75 115.02   NA
 [6,] 107.07 107.97 108.00 111.87 112.96 113.75 119.06 115.46   NA
 [7,] 107.20 107.76 108.05 111.88 113.14 113.89 119.28 115.00   NA
 [8,] 107.78 107.99 108.86 111.93 113.53 113.92 119.68 115.30   NA
 [9,] 108.00 108.41 109.27 111.76 113.62 116.40 119.28 116.09   NA
[10,] 108.11 107.61 108.87 111.66 112.51 115.86 117.30 115.49   NA
[11,] 107.26 106.54 108.88 110.25 111.00 115.16 114.23 112.89   NA
[12,] 105.30 106.24 108.19 109.05 108.49 114.45 112.56 110.66   NA
> darr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8] [,9]
 [1,]  1.93 -0.17  0.52  0.72  0.21  2.14  0.20 -0.48   NA
 [2,]  2.95  0.74 -0.35  1.48  1.25  0.49  1.66  0.45   NA
 [3,]  0.08  0.73  1.17  0.82  0.93  0.99  1.67  1.04   NA
 [4,]  0.20  1.07  0.36  0.23  0.80  1.24  0.57  1.18   NA
 [5,] -0.06  0.05  0.11  0.43  0.30  0.37  0.31  0.44   NA
 [6,]  0.13 -0.21  0.05  0.01  0.18  0.14  0.22 -0.46   NA
 [7,]  0.58  0.23  0.81  0.05  0.39  0.03  0.40  0.30   NA
 [8,]  0.22  0.42  0.41 -0.17  0.09  2.48 -0.40  0.79   NA
 [9,]  0.11 -0.80 -0.40 -0.10 -1.11 -0.54 -1.98 -0.60   NA
[10,] -0.85 -1.07  0.01 -1.41 -1.51 -0.70 -3.07 -2.60   NA
[11,] -1.96 -0.30 -0.69 -1.20 -2.51 -0.71 -1.67 -2.23   NA
[12,]  0.25 -0.05  0.00  0.42  0.03  0.20  0.27    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/1bzjt1425582662.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/2uprc1425582662.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/3ofyn1425582662.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/4e2c81425582662.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,] 101.970 103.900 106.120 106.850 107.130 107.070 107.200 107.780 108.000
[2,] 105.870 106.045 106.605 107.230 107.905 107.985 107.905 108.425 108.840
[3,] 108.355 109.295 110.660 111.535 112.050 112.415 112.510 112.730 112.690
[4,] 111.150 111.505 111.975 112.990 114.200 114.605 114.445 114.610 116.245
[5,] 114.650 114.850 116.510 118.180 118.750 119.060 119.280 119.680 119.280
       [,10]   [,11]   [,12]
[1,] 107.610 106.540 105.300
[2,] 108.490 108.070 107.215
[3,] 112.085 110.625 108.770
[4,] 115.675 113.560 111.610
[5,] 117.300 115.160 114.450

$n
 [1] 8 8 8 8 8 8 8 8 8 8 8 8

$conf
         [,1]    [,2]     [,3]     [,4]     [,5]    [,6]     [,7]    [,8]
[1,] 105.4055 106.245 107.6602 108.3174 108.5335 108.717 108.8567 109.275
[2,] 111.3045 112.345 113.6598 114.7526 115.5665 116.113 116.1633 116.185
         [,9]    [,10]    [,11]    [,12]
[1,] 108.5535 108.0714 107.5582 106.3149
[2,] 116.8265 116.0986 113.6918 111.2251

$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(101.97, 105.87, 108.355, 111.15, 114.65, 103.9,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5eh141425582662.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]
[1,] -0.480 -0.350 0.730 0.200 -0.060 -0.46 0.030 -0.400 -1.980 -3.070 -2.510
[2,]  0.015  0.470 0.775 0.295  0.080 -0.10 0.140 -0.040 -0.955 -2.055 -2.095
[3,]  0.365  0.995 0.960 0.685  0.305  0.09 0.345  0.315 -0.570 -1.240 -1.435
[4,]  1.325  1.570 1.105 1.125  0.400  0.16 0.490  0.605 -0.250 -0.775 -0.700
[5,]  2.140  2.950 1.170 1.240  0.440  0.22 0.810  0.790  0.110  0.010 -0.300
      [,12]
[1,] -0.050
[2,]  0.015
[3,]  0.200
[4,]  0.260
[5,]  0.420

$n
 [1] 8 8 8 8 8 8 8 8 8 8 8 7

$conf
           [,1]      [,2]      [,3]      [,4]      [,5]        [,6]     [,7]
[1,] -0.3667848 0.3805242 0.7756573 0.2213501 0.1262434 -0.05523973 0.149485
[2,]  1.0967848 1.6094758 1.1443427 1.1486499 0.4837566  0.23523973 0.540515
            [,8]       [,9]      [,10]     [,11]      [,12]
[1,] -0.04530626 -0.9638231 -1.9550264 -2.214267 0.05368995
[2,]  0.67530626 -0.1761769 -0.5249736 -0.655733 0.34631005

$out
[1] 0.08 1.67 2.48

$group
[1] 3 3 8

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

Warning message:
In bxp(list(stats = c(-0.480000000000004, 0.0149999999999935, 0.365000000000002,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6whrt1425582662.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]
[1,] 105.300 105.380 106.190 108.190 108.490 108.520 112.56 110.660   NA
[2,] 106.075 106.180 107.120 109.650 110.305 111.645 114.75 112.815   NA
[3,] 107.100 107.230 108.025 111.325 112.185 113.820 117.74 114.420   NA
[4,] 107.520 107.945 108.865 111.815 113.050 114.805 119.17 115.380   NA
[5,] 108.110 108.410 109.270 111.930 113.620 116.400 119.68 116.090   NA

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

$conf
         [,1]    [,2]     [,3]     [,4]    [,5]     [,6]    [,7]     [,8] [,9]
[1,] 106.4409 106.425 107.2291 110.3375 110.933 112.3787 115.724 113.2501   NA
[2,] 107.7591 108.035 108.8209 112.3125 113.437 115.2613 119.756 115.5899   NA

$out
[1] 101.97 103.90

$group
[1] 1 1

$names
[1] "1" "2" "3" "4" "5" "6" "7" "8" NA 

Warning message:
In bxp(list(stats = c(105.3, 106.075, 107.1, 107.52, 108.11, 105.38,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7xm6y1425582662.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,] 108.4213 108.3550 108.1700
[2,] 109.7531 109.9600 109.2819
[3,] 111.4206 111.7925 110.8506
[4,] 112.1006 112.4625 111.2694
[5,] 112.8538 112.7300 112.6112

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 110.3499 110.6511 109.9441
[2,] 112.4913 112.9339 111.7571

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(108.42125, 109.753125, 111.420625, 112.100625,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1bzjt1425582662.ps tmp/1bzjt1425582662.png",intern=TRUE))
character(0)
> try(system("convert tmp/2uprc1425582662.ps tmp/2uprc1425582662.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ofyn1425582662.ps tmp/3ofyn1425582662.png",intern=TRUE))
character(0)
> try(system("convert tmp/4e2c81425582662.ps tmp/4e2c81425582662.png",intern=TRUE))
character(0)
> try(system("convert tmp/5eh141425582662.ps tmp/5eh141425582662.png",intern=TRUE))
character(0)
> try(system("convert tmp/6whrt1425582662.ps tmp/6whrt1425582662.png",intern=TRUE))
character(0)
> try(system("convert tmp/7xm6y1425582662.ps tmp/7xm6y1425582662.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.498   0.485   3.012