R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(1.55,1.56,1.56,1.57,1.57,1.58,1.58,1.58,1.58,1.59,1.59,1.60,1.60,1.61,1.62,1.62,1.63,1.63,1.63,1.63,1.63,1.63,1.64,1.64,1.64,1.65,1.65,1.66,1.67,1.67,1.68,1.68,1.69,1.70,1.71,1.72,1.72,1.73,1.73,1.73,1.73,1.74,1.75,1.75,1.75,1.76,1.76,1.76,1.77,1.78,1.78,1.79,1.79,1.79,1.79,1.79,1.83,1.83,1.83,1.83,1.84,1.84,1.84,1.85,1.85,1.85,1.86,1.86,1.86,1.87,1.87,1.88)
> 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] 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,] 1.55 1.60 1.64 1.72 1.77 1.84   NA
 [2,] 1.56 1.61 1.65 1.73 1.78 1.84   NA
 [3,] 1.56 1.62 1.65 1.73 1.78 1.84   NA
 [4,] 1.57 1.62 1.66 1.73 1.79 1.85   NA
 [5,] 1.57 1.63 1.67 1.73 1.79 1.85   NA
 [6,] 1.58 1.63 1.67 1.74 1.79 1.85   NA
 [7,] 1.58 1.63 1.68 1.75 1.79 1.86   NA
 [8,] 1.58 1.63 1.68 1.75 1.79 1.86   NA
 [9,] 1.58 1.63 1.69 1.75 1.83 1.86   NA
[10,] 1.59 1.63 1.70 1.76 1.83 1.87   NA
[11,] 1.59 1.64 1.71 1.76 1.83 1.87   NA
[12,] 1.60 1.64 1.72 1.76 1.83 1.88   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] 0.01 0.01 0.01 0.01 0.01 0.00   NA
 [2,] 0.00 0.01 0.00 0.00 0.00 0.00   NA
 [3,] 0.01 0.00 0.01 0.00 0.01 0.01   NA
 [4,] 0.00 0.01 0.01 0.00 0.00 0.00   NA
 [5,] 0.01 0.00 0.00 0.01 0.00 0.00   NA
 [6,] 0.00 0.00 0.01 0.01 0.00 0.01   NA
 [7,] 0.00 0.00 0.00 0.00 0.00 0.00   NA
 [8,] 0.00 0.00 0.01 0.00 0.04 0.00   NA
 [9,] 0.01 0.00 0.01 0.01 0.00 0.01   NA
[10,] 0.00 0.01 0.01 0.00 0.00 0.00   NA
[11,] 0.01 0.00 0.01 0.00 0.00 0.01   NA
[12,] 0.00 0.00 0.00 0.01 0.01   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/fisher/rcomp/tmp/1mfud1350845901.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/fisher/rcomp/tmp/2bzcx1350845901.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/fisher/rcomp/tmp/3bkvq1350845901.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/fisher/rcomp/tmp/4i94x1350845901.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,] 1.55 1.56 1.56 1.570 1.57 1.580 1.580 1.580 1.58  1.59 1.590  1.60
[2,] 1.60 1.61 1.62 1.620 1.63 1.630 1.630 1.630 1.63  1.63 1.640  1.64
[3,] 1.68 1.69 1.69 1.695 1.70 1.705 1.715 1.715 1.72  1.73 1.735  1.74
[4,] 1.77 1.78 1.78 1.790 1.79 1.790 1.790 1.790 1.83  1.83 1.830  1.83
[5,] 1.84 1.84 1.84 1.850 1.85 1.850 1.860 1.860 1.86  1.87 1.870  1.88

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.570345 1.580345 1.586795 1.585345 1.596795 1.601795 1.611795 1.611795
[2,] 1.789655 1.799655 1.793205 1.804655 1.803205 1.808205 1.818205 1.818205
         [,9]    [,10]    [,11]    [,12]
[1,] 1.590994 1.600994 1.612444 1.617444
[2,] 1.849006 1.859006 1.857556 1.862556

$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(1.55, 1.6, 1.68, 1.77, 1.84, 1.56, 1.61, 1.69,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/5h9lo1350845901.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 0.00 0.00 0.00 0.000    0 0.00 0.00  0.00 0.000  0.00
[2,] 0.01    0 0.00 0.00 0.00 0.000    0 0.00 0.00  0.00 0.000  0.00
[3,] 0.01    0 0.01 0.00 0.00 0.005    0 0.00 0.01  0.00 0.005  0.00
[4,] 0.01    0 0.01 0.01 0.01 0.010    0 0.01 0.01  0.01 0.010  0.01
[5,] 0.01    0 0.01 0.01 0.01 0.010    0 0.01 0.01  0.01 0.010  0.01

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

$conf
     [,1] [,2]        [,3]         [,4]         [,5]         [,6] [,7]
[1,] 0.01    0 0.003549677 -0.006450323 -0.006450323 -0.001450323    0
[2,] 0.01    0 0.016450323  0.006450323  0.006450323  0.011450323    0
             [,8]        [,9]        [,10]        [,11]        [,12]
[1,] -0.006450323 0.003549677 -0.006450323 -0.001450323 -0.007065975
[2,]  0.006450323 0.016450323  0.006450323  0.011450323  0.007065975

$out
[1] 0.00 0.01 0.04

$group
[1] 1 2 8

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

Warning message:
In bxp(list(stats = c(0.01, 0.01, 0.01, 0.01, 0.01, 0, 0, 0, 0,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6ywnl1350845901.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,] 1.550 1.61 1.640 1.720 1.770 1.840   NA
[2,] 1.565 1.62 1.655 1.730 1.785 1.845   NA
[3,] 1.580 1.63 1.675 1.745 1.790 1.855   NA
[4,] 1.585 1.63 1.695 1.755 1.830 1.865   NA
[5,] 1.600 1.64 1.720 1.760 1.830 1.880   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 1.570878 1.625439 1.656756 1.733597 1.769475 1.845878   NA
[2,] 1.589122 1.634561 1.693244 1.756403 1.810525 1.864122   NA

$out
[1] 1.6

$group
[1] 2

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

Warning message:
In bxp(list(stats = c(1.55, 1.565, 1.58, 1.585, 1.6, 1.61, 1.62,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/71ta51350845901.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,] 1.686667 1.6800 1.68375
[2,] 1.700000 1.6925 1.70000
[3,] 1.712500 1.7100 1.71000
[4,] 1.726667 1.7250 1.72875
[5,] 1.738333 1.7400 1.73625

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 1.700337 1.695177 1.696887
[2,] 1.724663 1.724823 1.723113

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.68666666666667, 1.7, 1.7125, 1.72666666666667,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1mfud1350845901.ps tmp/1mfud1350845901.png",intern=TRUE))
character(0)
> try(system("convert tmp/2bzcx1350845901.ps tmp/2bzcx1350845901.png",intern=TRUE))
character(0)
> try(system("convert tmp/3bkvq1350845901.ps tmp/3bkvq1350845901.png",intern=TRUE))
character(0)
> try(system("convert tmp/4i94x1350845901.ps tmp/4i94x1350845901.png",intern=TRUE))
character(0)
> try(system("convert tmp/5h9lo1350845901.ps tmp/5h9lo1350845901.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ywnl1350845901.ps tmp/6ywnl1350845901.png",intern=TRUE))
character(0)
> try(system("convert tmp/71ta51350845901.ps tmp/71ta51350845901.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.424   0.643   4.057