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(20.7,21.2,20.7,19.6,18.6,18.7,23.8,24.9,24.8,23.8,22.3,21.7,20.7,19.7,18.4,17.4,17,18,23.8,25.5,25.6,23.7,22,21.3,20.7,20.4,20.3,20.4,19.8,19.5,23.1,23.5,23.5,22.9,21.9,21.5,20.5,20.2,19.4,19.2,18.8,18.8,22.6,23.3,23,21.4,19.9,18.8,18.6,18.4,18.6,19.9,19.2,18.4,21.1,20.5,19.1,18.1,17,17.1,17.4,16.8,15.3,14.3,13.4,15.3,22.1,23.7,22.2,19.5,16.6,17.3)
> 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,] 20.7 20.7 20.7 20.5 18.6 17.4   NA
 [2,] 21.2 19.7 20.4 20.2 18.4 16.8   NA
 [3,] 20.7 18.4 20.3 19.4 18.6 15.3   NA
 [4,] 19.6 17.4 20.4 19.2 19.9 14.3   NA
 [5,] 18.6 17.0 19.8 18.8 19.2 13.4   NA
 [6,] 18.7 18.0 19.5 18.8 18.4 15.3   NA
 [7,] 23.8 23.8 23.1 22.6 21.1 22.1   NA
 [8,] 24.9 25.5 23.5 23.3 20.5 23.7   NA
 [9,] 24.8 25.6 23.5 23.0 19.1 22.2   NA
[10,] 23.8 23.7 22.9 21.4 18.1 19.5   NA
[11,] 22.3 22.0 21.9 19.9 17.0 16.6   NA
[12,] 21.7 21.3 21.5 18.8 17.1 17.3   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,]  0.5 -1.0 -0.3 -0.3 -0.2 -0.6   NA
 [2,] -0.5 -1.3 -0.1 -0.8  0.2 -1.5   NA
 [3,] -1.1 -1.0  0.1 -0.2  1.3 -1.0   NA
 [4,] -1.0 -0.4 -0.6 -0.4 -0.7 -0.9   NA
 [5,]  0.1  1.0 -0.3  0.0 -0.8  1.9   NA
 [6,]  5.1  5.8  3.6  3.8  2.7  6.8   NA
 [7,]  1.1  1.7  0.4  0.7 -0.6  1.6   NA
 [8,] -0.1  0.1  0.0 -0.3 -1.4 -1.5   NA
 [9,] -1.0 -1.9 -0.6 -1.6 -1.0 -2.7   NA
[10,] -1.5 -1.7 -1.0 -1.5 -1.1 -2.9   NA
[11,] -0.6 -0.7 -0.4 -1.1  0.1  0.7   NA
[12,] -1.0 -0.6 -1.0 -0.2  0.3   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/www/html/rcomp/tmp/1c5fw1258138486.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/2l9fi1258138486.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/3f1jo1258138486.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/4c2l21258138486.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,] 17.4 16.80 18.4 14.3 17.0 18.00 21.10 23.3 19.10 18.10  16.6 17.10
[2,] 18.6 18.40 18.4 17.4 17.0 18.00 22.10 23.3 22.20 19.50  17.0 17.30
[3,] 20.6 19.95 19.0 19.4 18.7 18.55 22.85 23.6 23.25 22.15  20.9 20.05
[4,] 20.7 20.40 20.3 19.9 19.2 18.80 23.80 24.9 24.80 23.70  22.0 21.50
[5,] 20.7 21.20 20.7 20.4 19.8 19.50 23.80 25.5 25.60 23.80  22.3 21.70

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 19.24543 18.65994 17.77444 17.78742 17.28093 18.03397 21.75345 22.56795
[2,] 21.95457 21.24006 20.22556 21.01258 20.11907 19.06603 23.94655 24.63205
         [,9]    [,10]    [,11]    [,12]
[1,] 21.57292 19.44086 17.67484 17.34086
[2,] 24.92708 24.85914 24.12516 22.75914

$out
[1] 15.3 13.4 15.3 20.5

$group
[1] 3 5 6 8

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

Warning message:
In bxp(list(stats = c(17.4, 18.6, 20.6, 20.7, 20.7, 16.8, 18.4,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5aybm1258138486.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,] -1.0 -1.50 -1.1 -1.00 -0.80 2.70 -0.6 -1.5 -2.7  -1.7  -1.1  -1.0
[2,] -0.6 -1.30 -1.0 -0.90 -0.30 3.60  0.4 -1.4 -1.9  -1.7  -0.7  -1.0
[3,] -0.3 -0.65 -0.6 -0.65  0.05 4.45  0.9 -0.2 -1.3  -1.5  -0.5  -0.6
[4,] -0.2 -0.10  0.1 -0.40  1.00 5.80  1.6  0.0 -1.0  -1.1   0.1  -0.2
[5,] -0.2  0.20  1.3 -0.40  1.90 6.80  1.7  0.1 -0.6  -1.0   0.7   0.3

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

$conf
            [,1]       [,2]       [,3]       [,4]      [,5]     [,6]      [,7]
[1,] -0.55801292 -1.4240388 -1.3095355 -0.9725161 -0.788542 3.030929 0.1259612
[2,] -0.04198708  0.1240388  0.1095355 -0.3274839  0.888542 5.869071 1.6740388
           [,8]      [,9]     [,10]       [,11]       [,12]
[1,] -1.1030452 -1.880529 -1.887019 -1.01602584 -1.16527798
[2,]  0.7030452 -0.719471 -1.112981  0.01602584 -0.03472202

$out
[1]  0.5 -2.9

$group
[1]  1 10

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

Warning message:
In bxp(list(stats = c(-1, -0.599999999999998, -0.300000000000001,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6vvto1258138486.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]
[1,] 18.60 17.00 19.50 18.80 17.00 13.40   NA
[2,] 20.15 18.20 20.35 19.00 18.25 15.30   NA
[3,] 21.45 21.00 21.10 20.05 18.60 17.05   NA
[4,] 23.80 23.75 23.00 22.00 19.55 20.80   NA
[5,] 24.90 25.60 23.50 23.30 21.10 23.70   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 19.78521 18.46861 19.89132 18.68168 18.00706 14.54141   NA
[2,] 23.11479 23.53139 22.30868 21.41832 19.19294 19.55859   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(18.6, 20.15, 21.45, 23.8, 24.9, 17, 18.2,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7il781258138486.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,] 17.80000 18.550 18.25000
[2,] 18.62500 19.200 19.05000
[3,] 19.69167 20.325 19.70625
[4,] 22.15833 22.500 22.33125
[5,] 23.56667 23.600 23.97500

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 18.08009 18.81985 18.20965
[2,] 21.30324 21.83015 21.20285

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(17.8, 18.625, 19.6916666666667, 22.1583333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1c5fw1258138486.ps tmp/1c5fw1258138486.png")
> system("convert tmp/2l9fi1258138486.ps tmp/2l9fi1258138486.png")
> system("convert tmp/3f1jo1258138486.ps tmp/3f1jo1258138486.png")
> system("convert tmp/4c2l21258138486.ps tmp/4c2l21258138486.png")
> system("convert tmp/5aybm1258138486.ps tmp/5aybm1258138486.png")
> system("convert tmp/6vvto1258138486.ps tmp/6vvto1258138486.png")
> system("convert tmp/7il781258138486.ps tmp/7il781258138486.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.222   1.007   1.714