R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(100.6,104.3,120.4,107.5,102.9,125.6,107.5,108.8,128.4,121.1,119.5,128.7,108.7,105.5,119.8,111.3,110.6,120.1,97.5,107.7,127.3,117.2,119.8,116.2,111,112.4,130.6,109.1,118.8,123.9,101.6,112.8,128,129.6,125.8,119.5,115.7,113.6,129.7,112,116.8,127,112.1,114.2,121.1,131.6,125,120.4,117.7,117.5,120.6,127.5,112.3,124.5,115.2,104.7,130.9,129.2,113.5,125.6,107.6)
> 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,] 100.6 108.7 111.0 115.7 117.7 107.6
 [2,] 104.3 105.5 112.4 113.6 117.5    NA
 [3,] 120.4 119.8 130.6 129.7 120.6    NA
 [4,] 107.5 111.3 109.1 112.0 127.5    NA
 [5,] 102.9 110.6 118.8 116.8 112.3    NA
 [6,] 125.6 120.1 123.9 127.0 124.5    NA
 [7,] 107.5  97.5 101.6 112.1 115.2    NA
 [8,] 108.8 107.7 112.8 114.2 104.7    NA
 [9,] 128.4 127.3 128.0 121.1 130.9    NA
[10,] 121.1 117.2 129.6 131.6 129.2    NA
[11,] 119.5 119.8 125.8 125.0 113.5    NA
[12,] 128.7 116.2 119.5 120.4 125.6    NA
> darr
       [,1]  [,2]  [,3]  [,4]  [,5] [,6]
 [1,]   3.7  -3.2   1.4  -2.1  -0.2   NA
 [2,]  16.1  14.3  18.2  16.1   3.1   NA
 [3,] -12.9  -8.5 -21.5 -17.7   6.9   NA
 [4,]  -4.6  -0.7   9.7   4.8 -15.2   NA
 [5,]  22.7   9.5   5.1  10.2  12.2   NA
 [6,] -18.1 -22.6 -22.3 -14.9  -9.3   NA
 [7,]   1.3  10.2  11.2   2.1 -10.5   NA
 [8,]  19.6  19.6  15.2   6.9  26.2   NA
 [9,]  -7.3 -10.1   1.6  10.5  -1.7   NA
[10,]  -1.6   2.6  -3.8  -6.6 -15.7   NA
[11,]   9.2  -3.6  -6.3  -4.6  12.1   NA
[12,] -20.0  -5.2  -3.8  -2.7 -18.0   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/1y7501258283889.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/2khxd1258283889.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/3k5g71258283889.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/4fso01258283889.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,] 100.60 104.3 119.8 107.5 102.9 123.9  97.5 104.7 127.3 117.2 113.5 116.2
[2,] 107.60 105.5 120.4 109.1 110.6 123.9 101.6 107.7 127.3 121.1 119.5 119.5
[3,] 109.85 112.4 120.6 111.3 112.3 124.5 107.5 108.8 128.0 129.2 119.8 120.4
[4,] 115.70 113.6 129.7 112.0 116.8 125.6 112.1 112.8 128.4 129.6 125.0 125.6
[5,] 117.70 117.5 130.6 112.0 118.8 127.0 115.2 114.2 128.4 131.6 125.8 128.7

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 104.6252 106.6766 114.0286 109.2509 107.9191 123.2988 100.0807 105.1964
[2,] 115.0748 118.1234 127.1714 113.3491 116.6809 125.7012 114.9193 112.4036
         [,9]    [,10]    [,11]    [,12]
[1,] 127.2227 123.1939 115.9137 116.0898
[2,] 128.7773 135.2061 123.6863 124.7102

$out
[1] 127.5 120.1 121.1 130.9

$group
[1] 4 6 9 9

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

Warning message:
In bxp(list(stats = c(100.6, 107.6, 109.85, 115.7, 117.7, 104.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5r3iq1258283889.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,] -3.2 14.3 -21.5 -15.2  9.5 -22.6 -10.5 15.2 -10.1  -6.6  -6.3 -20.0
[2,] -2.1 14.3 -17.7  -4.6  9.5 -22.3   1.3 15.2  -7.3  -6.6  -4.6 -18.0
[3,] -0.2 16.1 -12.9  -0.7 10.2 -18.1   2.1 19.6  -1.7  -3.8  -3.6  -5.2
[4,]  1.4 16.1  -8.5   4.8 12.2 -14.9  10.2 19.6   1.6  -1.6   9.2  -3.8
[5,]  3.7 18.2  -8.5   9.7 12.2  -9.3  11.2 26.2  10.5   2.6  12.1  -2.7

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

$conf
          [,1]     [,2]       [,3]      [,4]      [,5]      [,6]      [,7]
[1,] -2.673091 14.82812 -19.400697 -7.342016  8.292187 -23.32882 -4.188718
[2,]  2.273091 17.37188  -6.399303  5.942016 12.107813 -12.87118  8.388718
         [,8]      [,9]      [,10]      [,11]      [,12]
[1,] 16.49097 -7.988718 -7.3329874 -13.351045 -15.233684
[2,] 22.70903  4.588718 -0.2670126   6.151045   4.833684

$out
[1]   3.1   6.9  22.7   5.1   6.9 -15.7

$group
[1]  2  3  5  5  8 10

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

Warning message:
In bxp(list(stats = c(-3.2, -2.10000000000001, -0.200000000000003,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6x8ij1258283889.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,] 100.60  97.50 101.60 112.0 104.70 107.6
[2,] 105.90 108.20 111.70 113.9 114.35 107.6
[3,] 114.15 113.75 119.15 118.6 119.15 107.6
[4,] 123.35 119.80 126.90 126.0 126.55 107.6
[5,] 128.70 127.30 130.60 131.6 130.90 107.6

$n
[1] 12 12 12 12 12  1

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]  [,6]
[1,] 106.1909 108.4592 112.2172 113.0811 113.5855 107.6
[2,] 122.1091 119.0408 126.0828 124.1189 124.7145 107.6

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(100.6, 105.9, 114.15, 123.35, 128.7, 97.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7vios1258283889.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,] 106.7800 107.500 106.850
[2,] 110.4383 110.575 110.400
[3,] 117.1000 116.100 117.975
[4,] 124.2200 122.550 124.900
[5,] 127.1400 129.200 127.850

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 110.8141 110.6381 111.3615
[2,] 123.3859 121.5619 124.5885

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> system("convert tmp/1y7501258283889.ps tmp/1y7501258283889.png")
> system("convert tmp/2khxd1258283889.ps tmp/2khxd1258283889.png")
> system("convert tmp/3k5g71258283889.ps tmp/3k5g71258283889.png")
> system("convert tmp/4fso01258283889.ps tmp/4fso01258283889.png")
> system("convert tmp/5r3iq1258283889.ps tmp/5r3iq1258283889.png")
> system("convert tmp/6x8ij1258283889.ps tmp/6x8ij1258283889.png")
> system("convert tmp/7vios1258283889.ps tmp/7vios1258283889.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.180   0.934   1.516