R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(14.5,14.3,15.3,14.4,13.7,14.2,13.5,11.9,14.6,15.6,14.1,14.9,14.2,14.6,17.2,15.4,14.3,17.5,14.5,14.4,16.6,16.7,16.6,16.9,15.7,16.4,18.4,16.9,16.5,18.3,15.1,15.7,18.1,16.8,18.9,19,18.1,17.8,21.5,17.1,18.7,19,16.4,16.9,18.6,19.3,19.4,17.6,18.6,18.1,20.4,18.1,19.6,19.9,19.2,17.8,19.2,22,21.1,19.5,22.2,20.9,22.2,23.5,21.5,24.3,22.8,20.3,23.7,23.3,19.6,18,17.3,16.8,18.2,16.5,16,18.4)
> 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] 78
> (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] 7 7 7 7 7 7 6 6 6 6 6 6
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] 14.5 14.2 15.7 18.1 18.6 22.2 17.3
 [2,] 14.3 14.6 16.4 17.8 18.1 20.9 16.8
 [3,] 15.3 17.2 18.4 21.5 20.4 22.2 18.2
 [4,] 14.4 15.4 16.9 17.1 18.1 23.5 16.5
 [5,] 13.7 14.3 16.5 18.7 19.6 21.5 16.0
 [6,] 14.2 17.5 18.3 19.0 19.9 24.3 18.4
 [7,] 13.5 14.5 15.1 16.4 19.2 22.8   NA
 [8,] 11.9 14.4 15.7 16.9 17.8 20.3   NA
 [9,] 14.6 16.6 18.1 18.6 19.2 23.7   NA
[10,] 15.6 16.7 16.8 19.3 22.0 23.3   NA
[11,] 14.1 16.6 18.9 19.4 21.1 19.6   NA
[12,] 14.9 16.9 19.0 17.6 19.5 18.0   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] -0.2  0.4  0.7 -0.3 -0.5 -1.3 -0.5
 [2,]  1.0  2.6  2.0  3.7  2.3  1.3  1.4
 [3,] -0.9 -1.8 -1.5 -4.4 -2.3  1.3 -1.7
 [4,] -0.7 -1.1 -0.4  1.6  1.5 -2.0 -0.5
 [5,]  0.5  3.2  1.8  0.3  0.3  2.8  2.4
 [6,] -0.7 -3.0 -3.2 -2.6 -0.7 -1.5   NA
 [7,] -1.6 -0.1  0.6  0.5 -1.4 -2.5   NA
 [8,]  2.7  2.2  2.4  1.7  1.4  3.4   NA
 [9,]  1.0  0.1 -1.3  0.7  2.8 -0.4   NA
[10,] -1.5 -0.1  2.1  0.1 -0.9 -3.7   NA
[11,]  0.8  0.3  0.1 -1.8 -1.6 -1.6   NA
[12,] -0.7 -1.2 -0.9  1.0  2.7 -0.7   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/rcomp/tmp/1kkq91257884370.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/rcomp/tmp/2plfp1257884370.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/rcomp/tmp/3cdgv1257884370.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/rcomp/tmp/4irxk1257884370.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,] 14.20 14.30 15.30 14.40 13.70 17.50 13.50 11.9 14.60 15.60 14.10  14.9
[2,] 15.10 15.50 17.70 15.95 15.15 17.90 14.50 14.4 16.60 16.70 16.60  16.9
[3,] 17.30 16.80 18.40 16.90 16.50 18.40 15.75 16.3 18.35 18.05 19.15  17.8
[4,] 18.35 17.95 20.95 17.60 19.15 19.45 19.20 17.8 19.20 22.00 19.60  19.0
[5,] 22.20 20.90 22.20 18.10 21.50 19.90 22.80 20.3 19.20 23.30 21.10  19.5

$n
 [1] 7 7 7 7 7 7 6 6 6 6 6 6

$conf
         [,1]    [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 15.35915 15.3369 16.45915 15.91465 14.11126 17.47437 12.71835 14.10689
[2,] 19.24085 18.2631 20.34085 17.88535 18.88874 19.32563 18.78165 18.49311
         [,9]    [,10]    [,11]    [,12]
[1,] 16.67292 14.63133 17.21490 16.44543
[2,] 20.02708 21.46867 21.08510 19.15457

$out
[1] 23.5 14.2 24.3 23.7

$group
[1] 4 6 6 9

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

Warning message:
In bxp(list(stats = c(14.2, 15.1, 17.3, 18.35, 22.2, 14.3, 15.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/5imyq1257884370.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,] -1.3 1.00 -2.30 -2.00  0.3 -3.20 -2.50  1.4 -1.3  -3.7 -1.80  -1.2
[2,] -0.5 1.35 -2.05 -0.90  0.4 -3.00 -1.60  1.7 -0.4  -1.5 -1.60  -0.9
[3,] -0.3 2.00 -1.70 -0.50  1.8 -2.05 -0.75  2.3  0.4  -0.5 -0.75  -0.7
[4,]  0.1 2.45 -1.20  0.55  2.6 -0.70  0.50  2.7  1.0   0.1  0.30   1.0
[5,]  0.7 3.70 -0.90  1.60  3.2 -0.70  0.60  3.4  2.8   2.1  0.80   2.7

$n
 [1] 7 7 7 7 7 6 6 6 6 6 6 6

$conf
            [,1]     [,2]      [,3]       [,4]      [,5]       [,6]       [,7]
[1,] -0.65831032 1.343098 -2.207606 -1.3659166 0.4861955 -3.5335743 -2.1045678
[2,]  0.05831032 2.656902 -1.192394  0.3659166 3.1138045 -0.5664257  0.6045678
         [,8]       [,9]      [,10]      [,11]      [,12]
[1,] 1.654968 -0.5030452 -1.5320517 -1.9755614 -1.9255614
[2,] 2.945032  1.3030452  0.5320517  0.4755614  0.5255614

$out
[1] -4.4  1.3

$group
[1] 3 3

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

Warning message:
In bxp(list(stats = c(-1.3, -0.5, -0.300000000000001, 0.100000000000001,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/67lb41257884370.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,] 13.50 14.20 15.10 16.40 17.80 18.0 16.00
[2,] 13.90 14.45 16.05 17.35 18.35 20.6 16.50
[3,] 14.35 16.00 16.85 18.35 19.35 22.2 17.05
[4,] 14.75 16.80 18.35 19.15 20.15 23.4 18.20
[5,] 15.60 17.50 19.00 21.50 22.00 24.3 18.40

$n
[1] 12 12 12 12 12 12  6

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]    [,6]     [,7]
[1,] 13.96231 14.92815 15.80095 17.52901 18.52901 20.9229 15.95345
[2,] 14.73769 17.07185 17.89905 19.17099 20.17099 23.4771 18.14655

$out
[1] 11.9

$group
[1] 1

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

Warning message:
In bxp(list(stats = c(13.5, 13.9, 14.35, 14.75, 15.6, 14.2, 14.45,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7iy491257884370.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,] 16.16667 15.750 16.15000
[2,] 17.08571 16.650 16.72500
[3,] 17.53214 17.550 17.53125
[4,] 18.63333 18.375 18.51875
[5,] 19.02857 19.150 19.32500

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 16.82626 16.76322 16.71311
[2,] 18.23802 18.33678 18.34939

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(16.1666666666667, 17.0857142857143, 17.5321428571429,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1kkq91257884370.ps tmp/1kkq91257884370.png")
> system("convert tmp/2plfp1257884370.ps tmp/2plfp1257884370.png")
> system("convert tmp/3cdgv1257884370.ps tmp/3cdgv1257884370.png")
> system("convert tmp/4irxk1257884370.ps tmp/4irxk1257884370.png")
> system("convert tmp/5imyq1257884370.ps tmp/5imyq1257884370.png")
> system("convert tmp/67lb41257884370.ps tmp/67lb41257884370.png")
> system("convert tmp/7iy491257884370.ps tmp/7iy491257884370.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.520   1.410   2.815