R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(14.5,15.1,17.4,16.2,15.6,17.2,14.9,13.8,17.5,16.2,17.5,16.6,16.2,16.6,19.6,15.9,18,18.3,16.3,14.9,18.2,18.4,18.5,16,17.4,17.2,19.6,17.2,18.3,19.3,18.1,16.2,18.4,20.5,19,16.5,18.7,19,19.2,20.5,19.3,20.6,20.1,16.1,20.4,19.7,15.6,14.4,13.7,14.1,15,14.2,13.6,15.4,14.8,12.5,16.2,16.1,16,15.8,14.9,15.4,18.6,17.1,16.8,19.5,17.3,15.8,19.3,18.8,18.5,17.3)
> par1 = '12'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> 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,] 14.5 16.2 17.4 18.7 13.7 14.9   NA
 [2,] 15.1 16.6 17.2 19.0 14.1 15.4   NA
 [3,] 17.4 19.6 19.6 19.2 15.0 18.6   NA
 [4,] 16.2 15.9 17.2 20.5 14.2 17.1   NA
 [5,] 15.6 18.0 18.3 19.3 13.6 16.8   NA
 [6,] 17.2 18.3 19.3 20.6 15.4 19.5   NA
 [7,] 14.9 16.3 18.1 20.1 14.8 17.3   NA
 [8,] 13.8 14.9 16.2 16.1 12.5 15.8   NA
 [9,] 17.5 18.2 18.4 20.4 16.2 19.3   NA
[10,] 16.2 18.4 20.5 19.7 16.1 18.8   NA
[11,] 17.5 18.5 19.0 15.6 16.0 18.5   NA
[12,] 16.6 16.0 16.5 14.4 15.8 17.3   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,]  0.6  0.4 -0.2  0.3  0.4  0.5   NA
 [2,]  2.3  3.0  2.4  0.2  0.9  3.2   NA
 [3,] -1.2 -3.7 -2.4  1.3 -0.8 -1.5   NA
 [4,] -0.6  2.1  1.1 -1.2 -0.6 -0.3   NA
 [5,]  1.6  0.3  1.0  1.3  1.8  2.7   NA
 [6,] -2.3 -2.0 -1.2 -0.5 -0.6 -2.2   NA
 [7,] -1.1 -1.4 -1.9 -4.0 -2.3 -1.5   NA
 [8,]  3.7  3.3  2.2  4.3  3.7  3.5   NA
 [9,] -1.3  0.2  2.1 -0.7 -0.1 -0.5   NA
[10,]  1.3  0.1 -1.5 -4.1 -0.1 -0.3   NA
[11,] -0.9 -2.5 -2.5 -1.2 -0.2 -1.2   NA
[12,] -0.4  1.4  2.2 -0.7 -0.9   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/1wmsl1319292606.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/2fad81319292606.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/3wnrg1319292606.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/4upnc1319292606.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,] 13.70 14.1 15.0 14.20 13.6 15.4 14.8 12.50 16.2  16.1  15.6 15.80
[2,] 14.50 15.1 17.4 15.90 15.6 17.2 14.9 13.80 17.5  16.2  16.0 15.80
[3,] 15.55 16.0 18.9 16.65 17.4 18.8 16.8 15.35 18.3  18.6  18.0 16.25
[4,] 17.40 17.2 19.6 17.20 18.3 19.5 18.1 16.10 19.3  19.7  18.5 16.60
[5,] 18.70 19.0 19.6 17.20 19.3 20.6 20.1 16.20 20.4  20.5  19.0 17.30

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]    [,7]     [,8]
[1,] 13.67941 14.64543 17.48093 15.81146 15.65841 17.31643 14.7359 13.86643
[2,] 17.42059 17.35457 20.31907 17.48854 19.14159 20.28357 18.8641 16.83357
         [,9]    [,10]    [,11]    [,12]
[1,] 17.13894 16.34239 16.38742 15.73397
[2,] 19.46106 20.85761 19.61258 16.76603

$out
[1] 20.5 14.4

$group
[1]  4 12

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

Warning message:
In bxp(list(stats = c(13.7, 14.5, 15.55, 17.4, 18.7, 14.1, 15.1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5v7br1319292606.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,]  0.3 0.20 -3.70 -1.20 0.30 -2.3 -2.3  3.3 -1.3  -1.5  -2.5  -0.9
[2,]  0.3 0.90 -2.40 -0.60 1.00 -2.2 -2.3  3.3 -0.7  -1.5  -2.5  -0.7
[3,]  0.4 2.35 -1.35 -0.45 1.45 -1.6 -1.7  3.6 -0.3  -0.2  -1.2  -0.4
[4,]  0.5 3.00 -0.80  1.10 1.80 -0.6 -1.4  3.7  0.2   0.1  -0.9   1.4
[5,]  0.6 3.20  1.30  2.10 2.70 -0.5 -1.1  4.3  0.2   1.3  -0.2   2.2

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

$conf
          [,1]      [,2]       [,3]       [,4]      [,5]       [,6]      [,7]
[1,] 0.2709935 0.9954322 -2.3820517 -1.5465549 0.9339742 -2.6320517 -2.280529
[2,] 0.5290065 3.7045678 -0.3179483  0.6465549 1.9660258 -0.5679483 -1.119471
         [,8]       [,9]      [,10]      [,11]     [,12]
[1,] 3.341987 -0.8805291 -1.2320517 -2.2320517 -1.883855
[2,] 3.858013  0.2805291  0.8320517 -0.1679483  1.083855

$out
[1] -0.2 -4.0  2.2  2.1 -4.1

$group
[1]  1  7  8  9 10

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

Warning message:
In bxp(list(stats = c(0.300000000000001, 0.300000000000001, 0.400000000000001,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/67u8r1319292606.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,] 13.8 14.90 16.20 14.40 12.5 14.9   NA
[2,] 15.0 16.10 17.20 17.40 13.9 16.3   NA
[3,] 16.2 17.30 18.20 19.25 14.9 17.3   NA
[4,] 17.3 18.35 19.15 20.25 15.9 18.7   NA
[5,] 17.5 19.60 20.50 20.60 16.2 19.5   NA

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

$conf
         [,1]     [,2]     [,3]    [,4]     [,5]     [,6] [,7]
[1,] 15.15095 16.27376 17.31059 17.9501 13.98779 16.20534   NA
[2,] 17.24905 18.32624 19.08941 20.5499 15.81221 18.39466   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(13.8, 15, 16.2, 17.3, 17.5, 14.9, 16.1, 17.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7svis1319292606.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,] 14.88333 15.350 15.05000
[2,] 16.16667 16.125 16.16250
[3,] 16.92500 17.100 16.81875
[4,] 18.25833 18.450 18.24375
[5,] 18.38333 18.900 18.60000

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 15.97098 16.03955 15.86948
[2,] 17.87902 18.16045 17.76802

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(14.8833333333333, 16.1666666666667, 16.925,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1wmsl1319292606.ps tmp/1wmsl1319292606.png",intern=TRUE))
character(0)
> try(system("convert tmp/2fad81319292606.ps tmp/2fad81319292606.png",intern=TRUE))
character(0)
> try(system("convert tmp/3wnrg1319292606.ps tmp/3wnrg1319292606.png",intern=TRUE))
character(0)
> try(system("convert tmp/4upnc1319292606.ps tmp/4upnc1319292606.png",intern=TRUE))
character(0)
> try(system("convert tmp/5v7br1319292606.ps tmp/5v7br1319292606.png",intern=TRUE))
character(0)
> try(system("convert tmp/67u8r1319292606.ps tmp/67u8r1319292606.png",intern=TRUE))
character(0)
> try(system("convert tmp/7svis1319292606.ps tmp/7svis1319292606.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.765   0.395   2.205