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(5.44,5.44,5.44,5.44,5.44,5.49,5.49,5.49,5.49,5.49,5.49,5.60,5.60,5.60,5.60,5.60,5.60,5.60,5.67,5.67,5.67,5.67,5.67,5.67,5.67,5.67,5.67,5.82,5.82,5.95,5.95,5.95,5.95,5.95,5.95,6.02,6.02,6.05,6.05,6.05,6.12,6.12,6.12,6.12,6.12,6.12,6.12,6.12,6.17,6.17,6.17,6.17,6.17,6.28,6.27,6.28,6.28,6.27,6.27,6.28,6.59,6.59,6.59,6.59,6.59,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.63,6.79,6.79,6.79,6.81,6.80,6.80,6.85,6.85,6.85,6.85,6.85,6.85,6.86,6.86,6.88,6.88,6.88,6.91,6.91,6.91,6.91,6.99,6.99,6.99,7.02,7.02,7.05,7.05,7.05,7.05,7.10,7.10,7.10,7.10,7.12,7.13,7.18)
> 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] 119
> (np <- floor(n / par1))
[1] 9
> 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] 10 10 10 10 10 10 10 10 10 10 10  9
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
 [1,] 5.44 5.60 5.67 6.02 6.17 6.59 6.63 6.79 6.88  7.05
 [2,] 5.44 5.60 5.67 6.05 6.17 6.59 6.63 6.81 6.88  7.05
 [3,] 5.44 5.60 5.67 6.05 6.17 6.59 6.63 6.80 6.88  7.05
 [4,] 5.44 5.60 5.82 6.05 6.17 6.59 6.63 6.80 6.91  7.05
 [5,] 5.44 5.60 5.82 6.12 6.17 6.59 6.63 6.85 6.91  7.10
 [6,] 5.49 5.60 5.95 6.12 6.28 6.63 6.63 6.85 6.91  7.10
 [7,] 5.49 5.67 5.95 6.12 6.27 6.63 6.63 6.85 6.91  7.10
 [8,] 5.49 5.67 5.95 6.12 6.28 6.63 6.63 6.85 6.99  7.10
 [9,] 5.49 5.67 5.95 6.12 6.28 6.63 6.63 6.85 6.99  7.12
[10,] 5.49 5.67 5.95 6.12 6.27 6.63 6.63 6.85 6.99  7.13
[11,] 5.49 5.67 5.95 6.12 6.27 6.63 6.79 6.86 7.02  7.18
[12,] 5.60 5.67 6.02 6.12 6.28 6.63 6.79 6.86 7.02    NA
> darr
      [,1] [,2] [,3] [,4]  [,5] [,6] [,7]  [,8] [,9] [,10]
 [1,] 0.00 0.00 0.00 0.03  0.00 0.00 0.00  0.02 0.00  0.00
 [2,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00 -0.01 0.00  0.00
 [3,] 0.00 0.00 0.15 0.00  0.00 0.00 0.00  0.00 0.03  0.00
 [4,] 0.00 0.00 0.00 0.07  0.00 0.00 0.00  0.05 0.00  0.05
 [5,] 0.05 0.00 0.13 0.00  0.11 0.04 0.00  0.00 0.00  0.00
 [6,] 0.00 0.07 0.00 0.00 -0.01 0.00 0.00  0.00 0.00  0.00
 [7,] 0.00 0.00 0.00 0.00  0.01 0.00 0.00  0.00 0.08  0.00
 [8,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00 0.00  0.02
 [9,] 0.00 0.00 0.00 0.00 -0.01 0.00 0.00  0.00 0.00  0.01
[10,] 0.00 0.00 0.00 0.00  0.00 0.00 0.16  0.01 0.03  0.05
[11,] 0.11 0.00 0.07 0.00  0.01 0.00 0.00  0.00 0.00    NA
[12,] 0.00 0.00 0.00 0.05  0.31 0.00 0.00  0.02 0.03    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/1bqfx1244067707.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/2rdmw1244067707.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/3ti3v1244067707.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/4i6t21244067707.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,] 5.44 5.44 5.44 5.44 5.44 5.490 5.49 5.490 5.490  5.49  5.49  5.60
[2,] 5.67 5.67 5.67 5.82 5.82 5.950 5.95 5.950 5.950  5.95  5.95  6.02
[3,] 6.38 6.38 6.38 6.38 6.38 6.455 6.45 6.455 6.455  6.45  6.45  6.28
[4,] 6.79 6.81 6.80 6.80 6.85 6.850 6.85 6.850 6.850  6.85  6.86  6.79
[5,] 7.05 7.05 7.05 7.05 7.10 7.100 7.10 7.100 7.120  7.13  7.18  7.02

$n
 [1] 10 10 10 10 10 10 10 10 10 10 10  9

$conf
         [,1]    [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 5.820403 5.81041 5.815407 5.890353 5.865371 6.005324 6.000324 6.005324
[2,] 6.939597 6.94959 6.944593 6.869647 6.894629 6.904676 6.899676 6.904676
         [,9]    [,10]    [,11]    [,12]
[1,] 6.005324 6.000324 5.995328 5.874467
[2,] 6.904676 6.899676 6.904672 6.685533

$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(5.44, 5.67, 6.38, 6.79, 7.05, 5.44, 5.67,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5by551244067707.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,]    0    0    0 0.00 0.00    0    0    0    0  0.00  0.00  0.00
[2,]    0    0    0 0.00 0.00    0    0    0    0  0.00  0.00  0.00
[3,]    0    0    0 0.00 0.00    0    0    0    0  0.00  0.00  0.00
[4,]    0    0    0 0.05 0.05    0    0    0    0  0.03  0.01  0.03
[5,]    0    0    0 0.07 0.11    0    0    0    0  0.05  0.01  0.05

$n
 [1] 10 10 10 10 10 10 10 10 10 10  9  9

$conf
     [,1] [,2] [,3]        [,4]        [,5] [,6] [,7] [,8] [,9]       [,10]
[1,]    0    0    0 -0.02498199 -0.02498199    0    0    0    0 -0.01498920
[2,]    0    0    0  0.02498199  0.02498199    0    0    0    0  0.01498920
            [,11]   [,12]
[1,] -0.005266667 -0.0158
[2,]  0.005266667  0.0158

$out
 [1]  0.03  0.02 -0.01  0.15  0.03  0.13  0.07 -0.01  0.01  0.08  0.02 -0.01
[13]  0.01  0.16  0.11  0.07  0.31

$group
 [1]  1  1  2  3  3  5  6  6  7  7  8  9  9 10 11 11 12

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

Warning message:
In bxp(list(stats = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6ctrl1244067707.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] [,7]  [,8]  [,9] [,10]
[1,] 5.44 5.600 5.670 6.02 6.17 6.59 6.63 6.790 6.880  7.05
[2,] 5.44 5.600 5.745 6.05 6.17 6.59 6.63 6.805 6.895  7.05
[3,] 5.49 5.635 5.950 6.12 6.27 6.63 6.63 6.850 6.910  7.10
[4,] 5.49 5.670 5.950 6.12 6.28 6.63 6.63 6.850 6.990  7.11
[5,] 5.49 5.670 6.020 6.12 6.28 6.63 6.63 6.860 7.020  7.18

$n
 [1] 12 12 12 12 12 12 12 12 12 11

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]     [,8]
[1,] 5.467195 5.603073 5.856498 6.088073 6.219828 6.611756 6.63 6.829475
[2,] 5.512805 5.666927 6.043502 6.151927 6.320172 6.648244 6.63 6.870525
        [,9]    [,10]
[1,] 6.86667 7.071417
[2,] 6.95333 7.128583

$out
[1] 5.60 6.79 6.79

$group
[1] 1 7 7

$names
 [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" NA 

Warning message:
In bxp(list(stats = c(5.44, 5.44, 5.49, 5.49, 5.49, 5.6, 5.6, 5.635,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7yj7j1244067707.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,] 6.284000 6.2800 6.25375
[2,] 6.297500 6.3800 6.29125
[3,] 6.344111 6.4150 6.39375
[4,] 6.372000 6.4525 6.39375
[5,] 6.398000 6.4550 6.41750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 6.310131 6.381932 6.346999
[2,] 6.378091 6.448068 6.440501

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(6.284, 6.2975, 6.34411111111111, 6.372, 6.398,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1bqfx1244067707.ps tmp/1bqfx1244067707.png")
> system("convert tmp/2rdmw1244067707.ps tmp/2rdmw1244067707.png")
> system("convert tmp/3ti3v1244067707.ps tmp/3ti3v1244067707.png")
> system("convert tmp/4i6t21244067707.ps tmp/4i6t21244067707.png")
> system("convert tmp/5by551244067707.ps tmp/5by551244067707.png")
> system("convert tmp/6ctrl1244067707.ps tmp/6ctrl1244067707.png")
> system("convert tmp/7yj7j1244067707.ps tmp/7yj7j1244067707.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.172   0.950   1.791