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(1.8,1.8,1.81,1.81,1.81,1.81,1.81,1.81,1.82,1.82,1.81,1.8,1.8,1.81,1.81,1.81,1.81,1.81,1.81,1.82,1.82,1.82,1.83,1.83,1.83,1.84,1.85,1.86,1.86,1.87,1.87,1.86,1.88,1.89,1.91,1.91,1.91,1.91,1.92,1.93,1.93,1.94,1.94,1.95,1.95,1.96,1.97,1.97,1.97,1.97,1.98,1.98,1.99,1.99,1.99,2,2,2.01,2.01,2.02,2.01,2.01,2.03,2.03,2.04,2.05,2.05,2.06,2.06,2.06,2.04,2.04,2.04,2.03,2.03,2.03,2.03,2.03,2.03,2.03,2.03,2.03,2.02,2.03,2.03,2.02,2.03,2.04,2.05,2.05,2.05,2.05,2.07,2.07,2.08,2.08)
> 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,] 1.80 1.80 1.83 1.91 1.97 2.01 2.04 2.03   NA
 [2,] 1.80 1.81 1.84 1.91 1.97 2.01 2.03 2.02   NA
 [3,] 1.81 1.81 1.85 1.92 1.98 2.03 2.03 2.03   NA
 [4,] 1.81 1.81 1.86 1.93 1.98 2.03 2.03 2.04   NA
 [5,] 1.81 1.81 1.86 1.93 1.99 2.04 2.03 2.05   NA
 [6,] 1.81 1.81 1.87 1.94 1.99 2.05 2.03 2.05   NA
 [7,] 1.81 1.81 1.87 1.94 1.99 2.05 2.03 2.05   NA
 [8,] 1.81 1.82 1.86 1.95 2.00 2.06 2.03 2.05   NA
 [9,] 1.82 1.82 1.88 1.95 2.00 2.06 2.03 2.07   NA
[10,] 1.82 1.82 1.89 1.96 2.01 2.06 2.03 2.07   NA
[11,] 1.81 1.83 1.91 1.97 2.01 2.04 2.02 2.08   NA
[12,] 1.80 1.83 1.91 1.97 2.02 2.04 2.03 2.08   NA
> darr
       [,1] [,2]  [,3] [,4]  [,5]  [,6]  [,7]  [,8] [,9]
 [1,]  0.00 0.01  0.01 0.00  0.00  0.00 -0.01 -0.01   NA
 [2,]  0.01 0.00  0.01 0.01  0.01  0.02  0.00  0.01   NA
 [3,]  0.00 0.00  0.01 0.01  0.00  0.00  0.00  0.01   NA
 [4,]  0.00 0.00  0.00 0.00  0.01  0.01  0.00  0.01   NA
 [5,]  0.00 0.00  0.01 0.01  0.00  0.01  0.00  0.00   NA
 [6,]  0.00 0.00  0.00 0.00  0.00  0.00  0.00  0.00   NA
 [7,]  0.00 0.01 -0.01 0.01  0.01  0.01  0.00  0.00   NA
 [8,]  0.01 0.00  0.02 0.00  0.00  0.00  0.00  0.02   NA
 [9,]  0.00 0.00  0.01 0.01  0.01  0.00  0.00  0.00   NA
[10,] -0.01 0.01  0.02 0.01  0.00 -0.02 -0.01  0.01   NA
[11,] -0.01 0.00  0.00 0.00  0.01  0.00  0.01  0.00   NA
[12,]  0.00 0.00  0.00 0.00 -0.01  0.00  0.00    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/11ohv1413124505.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/2pjoe1413124505.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/3ybvv1413124505.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/449tz1413124505.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,] 1.800 1.800 1.81 1.810 1.810 1.810 1.810 1.810 1.820 1.820  1.81 1.800
[2,] 1.815 1.825 1.83 1.835 1.835 1.840 1.840 1.840 1.850 1.855  1.87 1.870
[3,] 1.940 1.940 1.95 1.955 1.960 1.965 1.965 1.975 1.975 1.985  1.99 1.995
[4,] 2.020 2.015 2.03 2.030 2.035 2.040 2.040 2.040 2.045 2.045  2.03 2.035
[5,] 2.040 2.030 2.03 2.040 2.050 2.050 2.050 2.060 2.070 2.070  2.08 2.080

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

$conf
         [,1]     [,2]     [,3]    [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.825484 1.833863 1.838277 1.84607 1.848277 1.853277 1.853277 1.863277
[2,] 2.054516 2.046137 2.061723 2.06393 2.071723 2.076723 2.076723 2.086723
        [,9]    [,10]    [,11]    [,12]
[1,] 1.86607 1.878863 1.900622 1.902829
[2,] 2.08393 2.091137 2.079378 2.087171

$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(1.8, 1.815, 1.94, 2.02, 2.04, 1.8, 1.825,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5u11a1413124505.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,] -0.010 0.000 0.00 0.00 0.00    0 -0.010 0.000 0.00 -0.020 0.000     0
[2,] -0.005 0.005 0.00 0.00 0.00    0  0.000 0.000 0.00 -0.010 0.000     0
[3,]  0.000 0.010 0.00 0.00 0.00    0  0.005 0.000 0.00  0.005 0.000     0
[4,]  0.005 0.010 0.01 0.01 0.01    0  0.010 0.015 0.01  0.010 0.005     0
[5,]  0.010 0.010 0.01 0.01 0.01    0  0.010 0.020 0.01  0.020 0.010     0

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

$conf
             [,1]        [,2]         [,3]         [,4]         [,5] [,6]
[1,] -0.005586144 0.007206928 -0.005586144 -0.005586144 -0.005586144    0
[2,]  0.005586144 0.012793072  0.005586144  0.005586144  0.005586144    0
              [,7]         [,8]         [,9]        [,10]        [,11] [,12]
[1,] -0.0005861436 -0.008379215 -0.005586144 -0.006172287 -0.002793072     0
[2,]  0.0105861436  0.008379215  0.005586144  0.016172287  0.002793072     0

$out
[1]  0.02 -0.01 -0.01

$group
[1]  2 11 12

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

Warning message:
In bxp(list(stats = c(-0.0100000000000002, -0.00499999999999989,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/60b8g1413124505.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,] 1.800 1.80 1.830 1.910 1.970 2.010 2.03 2.020   NA
[2,] 1.805 1.81 1.855 1.925 1.980 2.030 2.03 2.035   NA
[3,] 1.810 1.81 1.865 1.940 1.990 2.040 2.03 2.050   NA
[4,] 1.810 1.82 1.885 1.955 2.005 2.055 2.03 2.070   NA
[5,] 1.810 1.83 1.910 1.970 2.020 2.060 2.03 2.080   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]     [,8] [,9]
[1,] 1.807719 1.805439 1.851317 1.926317 1.978597 2.028597 2.03 2.034036   NA
[2,] 1.812281 1.814561 1.878683 1.953683 2.001403 2.051403 2.03 2.065964   NA

$out
[1] 1.82 1.82 2.04 2.02

$group
[1] 1 1 7 7

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

Warning message:
In bxp(list(stats = c(1.8, 1.805, 1.81, 1.81, 1.81, 1.8, 1.81, 1.81,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7qc8s1413124505.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,] 1.923750 1.9400 1.918750
[2,] 1.934375 1.9525 1.936875
[3,] 1.943750 1.9650 1.943750
[4,] 1.955625 1.9800 1.953125
[5,] 1.960000 1.9950 1.961250

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 1.934058 1.952457 1.936338
[2,] 1.953442 1.977543 1.951162

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.92375, 1.934375, 1.94375, 1.955625, 1.96,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/11ohv1413124505.ps tmp/11ohv1413124505.png",intern=TRUE))
character(0)
> try(system("convert tmp/2pjoe1413124505.ps tmp/2pjoe1413124505.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ybvv1413124505.ps tmp/3ybvv1413124505.png",intern=TRUE))
character(0)
> try(system("convert tmp/449tz1413124505.ps tmp/449tz1413124505.png",intern=TRUE))
character(0)
> try(system("convert tmp/5u11a1413124505.ps tmp/5u11a1413124505.png",intern=TRUE))
character(0)
> try(system("convert tmp/60b8g1413124505.ps tmp/60b8g1413124505.png",intern=TRUE))
character(0)
> try(system("convert tmp/7qc8s1413124505.ps tmp/7qc8s1413124505.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.539   0.459   3.028