R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(500.01,500.02,500.03,500.04,500.05,500.06,500.07,500.08,500.09,500.10,500.11,500.12,500.13,500.14,500.15,500.16,500.17,500.18,500.19,500.20,500.21,500.22,500.23,500.24,500.25,500.26,500.27,500.28,500.29,500.30,500.31,500.32,500.33,500.34,500.35,500.36,500.37,500.38,500.39,500.40,500.41,500.42,500.43,500.44,500.45,500.46,500.47,500.48,500.49,500.50,500.51,500.52,500.53,500.54,500.55,500.56,500.57,500.58,500.59,500.60,500.61,500.62,500.63,500.64,500.65,500.66,500.67,500.68,500.69,500.70,500.71)
> 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] 71
> (np <- floor(n / par1))
[1] 5
> 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 5
> arr
        [,1]   [,2]   [,3]   [,4]   [,5]   [,6]
 [1,] 500.01 500.13 500.25 500.37 500.49 500.61
 [2,] 500.02 500.14 500.26 500.38 500.50 500.62
 [3,] 500.03 500.15 500.27 500.39 500.51 500.63
 [4,] 500.04 500.16 500.28 500.40 500.52 500.64
 [5,] 500.05 500.17 500.29 500.41 500.53 500.65
 [6,] 500.06 500.18 500.30 500.42 500.54 500.66
 [7,] 500.07 500.19 500.31 500.43 500.55 500.67
 [8,] 500.08 500.20 500.32 500.44 500.56 500.68
 [9,] 500.09 500.21 500.33 500.45 500.57 500.69
[10,] 500.10 500.22 500.34 500.46 500.58 500.70
[11,] 500.11 500.23 500.35 500.47 500.59 500.71
[12,] 500.12 500.24 500.36 500.48 500.60     NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6]
 [1,] 0.01 0.01 0.01 0.01 0.01 0.01
 [2,] 0.01 0.01 0.01 0.01 0.01 0.01
 [3,] 0.01 0.01 0.01 0.01 0.01 0.01
 [4,] 0.01 0.01 0.01 0.01 0.01 0.01
 [5,] 0.01 0.01 0.01 0.01 0.01 0.01
 [6,] 0.01 0.01 0.01 0.01 0.01 0.01
 [7,] 0.01 0.01 0.01 0.01 0.01 0.01
 [8,] 0.01 0.01 0.01 0.01 0.01 0.01
 [9,] 0.01 0.01 0.01 0.01 0.01 0.01
[10,] 0.01 0.01 0.01 0.01 0.01 0.01
[11,] 0.01 0.01 0.01 0.01 0.01   NA
[12,] 0.01 0.01 0.01 0.01 0.01   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/1229p1387732976.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/2rc7q1387732976.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/3gyml1387732976.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/4sgja1387732976.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]
[1,] 500.01 500.02 500.03 500.04 500.05 500.06 500.07 500.08 500.09 500.10
[2,] 500.13 500.14 500.15 500.16 500.17 500.18 500.19 500.20 500.21 500.22
[3,] 500.31 500.32 500.33 500.34 500.35 500.36 500.37 500.38 500.39 500.40
[4,] 500.49 500.50 500.51 500.52 500.53 500.54 500.55 500.56 500.57 500.58
[5,] 500.61 500.62 500.63 500.64 500.65 500.66 500.67 500.68 500.69 500.70
      [,11]  [,12]
[1,] 500.11 500.12
[2,] 500.23 500.24
[3,] 500.41 500.36
[4,] 500.59 500.48
[5,] 500.71 500.60

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 500.0778 500.0878 500.0978 500.1078 500.1178 500.1278 500.1378 500.1478
[2,] 500.5422 500.5522 500.5622 500.5722 500.5822 500.5922 500.6022 500.6122
         [,9]    [,10]    [,11]    [,12]
[1,] 500.1578 500.1678 500.1778 500.1904
[2,] 500.6222 500.6322 500.6422 500.5296

$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(500.01, 500.13, 500.31, 500.49, 500.61, 500.02,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5pqh81387732976.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 0.01 0.01 0.01 0.01 0.01 0.01 0.01  0.01  0.01  0.01
[2,] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01  0.01  0.01  0.01
[3,] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01  0.01  0.01  0.01
[4,] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01  0.01  0.01  0.01
[5,] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01  0.01  0.01  0.01

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

$conf
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
[1,] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01  0.01  0.01  0.01
[2,] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01  0.01  0.01  0.01

$out
[1] 0.01

$group
[1] 11

$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/6sm581387732976.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]
[1,] 500.010 500.130 500.250 500.370 500.490 500.610
[2,] 500.035 500.155 500.275 500.395 500.515 500.635
[3,] 500.065 500.185 500.305 500.425 500.545 500.660
[4,] 500.095 500.215 500.335 500.455 500.575 500.685
[5,] 500.120 500.240 500.360 500.480 500.600 500.710

$n
[1] 12 12 12 12 12 11

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]
[1,] 500.0376 500.1576 500.2776 500.3976 500.5176 500.6362
[2,] 500.0924 500.2124 500.3324 500.4524 500.5724 500.6838

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7g2gn1387732976.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,] 500.310 500.310 500.310
[2,] 500.335 500.335 500.335
[3,] 500.360 500.360 500.360
[4,] 500.385 500.385 500.385
[5,] 500.410 500.410 500.410

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 500.3372 500.3372 500.3372
[2,] 500.3828 500.3828 500.3828

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1229p1387732976.ps tmp/1229p1387732976.png",intern=TRUE))
character(0)
> try(system("convert tmp/2rc7q1387732976.ps tmp/2rc7q1387732976.png",intern=TRUE))
character(0)
> try(system("convert tmp/3gyml1387732976.ps tmp/3gyml1387732976.png",intern=TRUE))
character(0)
> try(system("convert tmp/4sgja1387732976.ps tmp/4sgja1387732976.png",intern=TRUE))
character(0)
> try(system("convert tmp/5pqh81387732976.ps tmp/5pqh81387732976.png",intern=TRUE))
character(0)
> try(system("convert tmp/6sm581387732976.ps tmp/6sm581387732976.png",intern=TRUE))
character(0)
> try(system("convert tmp/7g2gn1387732976.ps tmp/7g2gn1387732976.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.858   0.884   5.723