R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(118.4,121.4,128.8,131.7,141.7,142.9,139.4,134.7,125,113.6,111.5,108.5,112.3,116.6,115.5,120.1,132.9,128.1,129.3,132.5,131,124.9,120.8,122,122.1,127.4,135.2,137.3,135,136,138.4,134.7,138.4,133.9,133.6,141.2,151.8,155.4,156.6,161.6,160.7,156,159.5,168.7,169.9,169.9,185.9,190.8,195.8,211.9,227.1,251.3,256.7,251.9,251.2,270.3,267.2,243,229.9,187.2,178.2)
> 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] 61
> (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 5 5 5 5 5 5 5 5 5 5 5
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]
 [1,] 118.4 112.3 122.1 151.8 195.8 178.2
 [2,] 121.4 116.6 127.4 155.4 211.9    NA
 [3,] 128.8 115.5 135.2 156.6 227.1    NA
 [4,] 131.7 120.1 137.3 161.6 251.3    NA
 [5,] 141.7 132.9 135.0 160.7 256.7    NA
 [6,] 142.9 128.1 136.0 156.0 251.9    NA
 [7,] 139.4 129.3 138.4 159.5 251.2    NA
 [8,] 134.7 132.5 134.7 168.7 270.3    NA
 [9,] 125.0 131.0 138.4 169.9 267.2    NA
[10,] 113.6 124.9 133.9 169.9 243.0    NA
[11,] 111.5 120.8 133.6 185.9 229.9    NA
[12,] 108.5 122.0 141.2 190.8 187.2    NA
> darr
       [,1] [,2] [,3] [,4]  [,5] [,6]
 [1,]   3.0  4.3  5.3  3.6  16.1   NA
 [2,]   7.4 -1.1  7.8  1.2  15.2   NA
 [3,]   2.9  4.6  2.1  5.0  24.2   NA
 [4,]  10.0 12.8 -2.3 -0.9   5.4   NA
 [5,]   1.2 -4.8  1.0 -4.7  -4.8   NA
 [6,]  -3.5  1.2  2.4  3.5  -0.7   NA
 [7,]  -4.7  3.2 -3.7  9.2  19.1   NA
 [8,]  -9.7 -1.5  3.7  1.2  -3.1   NA
 [9,] -11.4 -6.1 -4.5  0.0 -24.2   NA
[10,]  -2.1 -4.1 -0.3 16.0 -13.1   NA
[11,]  -3.0  1.2  7.6  4.9 -42.7   NA
[12,]   3.8  0.1 10.6  5.0  -9.0   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/www/html/rcomp/tmp/1yikz1229864882.ps",horizontal=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/www/html/rcomp/tmp/2kisy1229864882.ps",horizontal=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/www/html/rcomp/tmp/399811229864882.ps",horizontal=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/www/html/rcomp/tmp/4ubp51229864882.ps",horizontal=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,] 112.30 116.6 115.5 120.1 132.9 128.1 129.3 132.5 125.0 113.6 111.5 108.5
[2,] 118.40 121.4 128.8 131.7 135.0 136.0 138.4 134.7 131.0 124.9 120.8 122.0
[3,] 136.95 127.4 135.2 137.3 141.7 142.9 139.4 134.7 138.4 133.9 133.6 141.2
[4,] 178.20 155.4 156.6 161.6 160.7 156.0 159.5 168.7 169.9 169.9 185.9 187.2
[5,] 195.80 155.4 156.6 161.6 160.7 156.0 159.5 168.7 169.9 169.9 229.9 190.8

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

$conf
          [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,]  98.37707 103.3757 115.5566 116.1727 123.5404 128.7681 124.4908 110.6757
[2,] 175.52293 151.4243 154.8434 158.4273 159.8596 157.0319 154.3092 158.7243
         [,9]    [,10]    [,11]     [,12]
[1,] 110.9134 102.1031  87.6005  95.12984
[2,] 165.8866 165.6969 179.5995 187.27016

$out
[1] 211.9 227.1 251.3 256.7 251.9 251.2 270.3 267.2 243.0

$group
[1]  2  3  4  5  6  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(112.3, 118.4, 136.95, 178.2, 195.8, 116.6,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/58j1d1229864882.ps",horizontal=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,]  3.0 -1.1  2.1 -2.3 -4.8 -3.5 -4.7 -3.1 -11.4  -4.1  -3.0   0.1
[2,]  3.6  1.2  2.9 -0.9 -4.8 -0.7 -3.7 -3.1 -11.4  -4.1  -3.0   0.1
[3,]  4.3  7.4  4.6  5.4 -4.7  1.2  3.2 -1.5  -6.1  -2.1   1.2   3.8
[4,]  5.3  7.8  5.0 10.0  1.0  2.4  9.2  1.2  -4.5  -0.3   4.9   5.0
[5,]  5.3 15.2  5.0 12.8  1.2  3.5 19.1  3.7   0.0  -0.3   7.6  10.6

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

$conf
         [,1]      [,2]     [,3]      [,4]       [,5]       [,6]      [,7]
[1,] 3.098784  2.736457 3.116145 -2.301913 -8.7982654 -0.9904522 -5.915108
[2,] 5.501216 12.063543 6.083855 13.101913 -0.6017346  3.3904522 12.315108
          [,8]       [,9]      [,10]    [,11]     [,12]
[1,] -4.538369 -10.975523 -4.7850704 -4.38212 0.3376723
[2,]  1.538369  -1.224477  0.5850704  6.78212 7.2623277

$out
[1]  16.1  24.2  -9.7 -24.2  16.0 -13.1 -42.7  -9.0

$group
[1]  1  3  8  9 10 10 11 12

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

Warning message:
In bxp(list(stats = c(3, 3.59999999999999, 4.3, 5.30000000000001,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/647e91229864882.ps",horizontal=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,] 108.50 112.30 133.60 151.80 187.2 178.2
[2,] 116.00 118.35 133.75 156.30 219.5 178.2
[3,] 126.90 123.45 135.10 161.15 247.1 178.2
[4,] 137.05 130.15 137.85 169.90 254.3 178.2
[5,] 142.90 132.90 141.20 185.90 270.3 178.2

$n
[1] 12 12 12 12 12  1

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]  [,6]
[1,] 117.2990 118.0679 133.2300 154.9469 231.2275 178.2
[2,] 136.5010 128.8321 136.9700 167.3531 262.9725 178.2

$out
[1] 122.1 127.4 190.8

$group
[1] 3 3 4

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

Warning message:
In bxp(list(stats = c(108.5, 116, 126.9, 137.05, 142.9, 112.3, 118.35,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/78myf1229864882.ps",horizontal=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,] 146.4333 127.400 138.4000
[2,] 151.2900 134.300 145.7312
[3,] 158.7300 137.125 147.6250
[4,] 164.4800 140.300 151.0750
[5,] 168.1800 142.900 154.6000

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 152.7140 134.3884 145.1877
[2,] 164.7460 139.8616 150.0623

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(146.433333333333, 151.29, 158.73, 164.48,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1yikz1229864882.ps tmp/1yikz1229864882.png")
> system("convert tmp/2kisy1229864882.ps tmp/2kisy1229864882.png")
> system("convert tmp/399811229864882.ps tmp/399811229864882.png")
> system("convert tmp/4ubp51229864882.ps tmp/4ubp51229864882.png")
> system("convert tmp/58j1d1229864882.ps tmp/58j1d1229864882.png")
> system("convert tmp/647e91229864882.ps tmp/647e91229864882.png")
> system("convert tmp/78myf1229864882.ps tmp/78myf1229864882.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.184   0.931   1.444