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(15.5,15.1,11.7,16.3,16.7,15,14.9,14.6,15.3,17.9,16.4,15.4,17.9,15.9,13.9,17.8,17.9,17.4,16.7,16,16.6,19.1,17.8,17.2,18.6,16.3,15.1,19.2,17.7,19.1,18,17.5,17.8,21.1,17.2,19.4,19.8,17.6,16.2,19.5,19.9,20,17.3,18.9,18.6,21.4,18.6,19.8,20.8,19.6,17.7,19.8,22.2,20.7,17.9,20.9,21.2,21.4,23,21.3,23.9,22.4,18.3,22.8,22.3,17.8,16.4,16,16.4,17.7,16.6,16.2,18.3)
> 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] 73
> (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 6 6 6 6 6 6 6 6 6 6 6
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] 15.5 17.9 18.6 19.8 20.8 23.9 18.3
 [2,] 15.1 15.9 16.3 17.6 19.6 22.4   NA
 [3,] 11.7 13.9 15.1 16.2 17.7 18.3   NA
 [4,] 16.3 17.8 19.2 19.5 19.8 22.8   NA
 [5,] 16.7 17.9 17.7 19.9 22.2 22.3   NA
 [6,] 15.0 17.4 19.1 20.0 20.7 17.8   NA
 [7,] 14.9 16.7 18.0 17.3 17.9 16.4   NA
 [8,] 14.6 16.0 17.5 18.9 20.9 16.0   NA
 [9,] 15.3 16.6 17.8 18.6 21.2 16.4   NA
[10,] 17.9 19.1 21.1 21.4 21.4 17.7   NA
[11,] 16.4 17.8 17.2 18.6 23.0 16.6   NA
[12,] 15.4 17.2 19.4 19.8 21.3 16.2   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] -0.4 -2.0 -2.3 -2.2 -1.2 -1.5   NA
 [2,] -3.4 -2.0 -1.2 -1.4 -1.9 -4.1   NA
 [3,]  4.6  3.9  4.1  3.3  2.1  4.5   NA
 [4,]  0.4  0.1 -1.5  0.4  2.4 -0.5   NA
 [5,] -1.7 -0.5  1.4  0.1 -1.5 -4.5   NA
 [6,] -0.1 -0.7 -1.1 -2.7 -2.8 -1.4   NA
 [7,] -0.3 -0.7 -0.5  1.6  3.0 -0.4   NA
 [8,]  0.7  0.6  0.3 -0.3  0.3  0.4   NA
 [9,]  2.6  2.5  3.3  2.8  0.2  1.3   NA
[10,] -1.5 -1.3 -3.9 -2.8  1.6 -1.1   NA
[11,] -1.0 -0.6  2.2  1.2 -1.7 -0.4   NA
[12,]  2.5  1.4  0.4  1.0  2.6  2.1   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/1zv6k1261053199.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/2s40n1261053199.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/3rzmp1261053199.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/4maij1261053199.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,] 15.5 15.10 11.70 16.30 16.7 15.00 14.9 14.60 15.3  17.7  16.4  15.4
[2,] 18.1 15.90 13.90 17.80 17.7 17.40 16.4 16.00 16.4  17.9  16.6  16.2
[3,] 18.6 16.95 15.65 19.35 18.9 18.45 17.0 16.75 17.2  20.1  17.5  18.3
[4,] 20.3 19.60 17.70 19.80 22.2 20.00 17.9 18.90 18.6  21.4  18.6  19.8
[5,] 20.8 22.40 18.30 22.80 22.3 20.70 18.0 20.90 21.2  21.4  18.6  21.3

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 17.28620 14.56338 13.19888 18.05994 15.99735 16.77292 16.03245 14.87941
[2,] 19.91380 19.33662 18.10112 20.64006 21.80265 20.12708 17.96755 18.62059
         [,9]    [,10]    [,11]    [,12]
[1,] 15.78093 17.84239 16.20994 15.97788
[2,] 18.61907 22.35761 18.79006 20.62212

$out
[1] 23.9 23.0

$group
[1]  1 11

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

Warning message:
In bxp(list(stats = c(15.5, 18.1, 18.6, 20.3, 20.8, 15.1, 15.9,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5zpb11261053199.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,] -2.30 -4.10  2.1 -1.50 -1.7 -2.80 -0.70 0.30 0.20  -3.9  -1.7  0.40
[2,] -2.20 -3.40  3.3 -0.50 -1.7 -2.70 -0.50 0.30 1.30  -2.8  -1.0  1.00
[3,] -1.75 -1.95  4.0  0.25 -1.0 -1.25 -0.35 0.35 2.55  -1.4  -0.5  1.75
[4,] -1.20 -1.40  4.5  0.40  0.1 -0.70  1.60 0.60 2.80  -1.1   1.2  2.50
[5,] -0.40 -1.20  4.6  0.40  1.4 -0.10  3.00 0.70 3.30  -1.1   2.2  2.60

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

$conf
          [,1]       [,2]     [,3]       [,4]       [,5]       [,6]      [,7]
[1,] -2.395032 -3.2400646 3.225961 -0.3305291 -2.1610581 -2.5400646 -1.704568
[2,] -1.104968 -0.6599354 4.774039  0.8305291  0.1610581  0.0400646  1.004568
          [,8]     [,9]      [,10]     [,11]     [,12]
[1,] 0.1564903 1.582452 -2.4965549 -1.919071 0.7824516
[2,] 0.5435097 3.517548 -0.3034451  0.919071 2.7175484

$out
[1]  2.4 -4.5 -0.3  1.6

$group
[1]  4  5  8 10

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

Warning message:
In bxp(list(stats = c(-2.3, -2.2, -1.75, -1.2, -0.4, -4.1, -3.4,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6tmzu1261053199.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,] 14.60 15.90 15.10 16.20 17.70 16.00 18.3
[2,] 14.95 16.30 17.35 18.10 19.70 16.40 18.3
[3,] 15.35 17.30 17.90 19.20 20.85 17.75 18.3
[4,] 16.35 17.85 19.15 19.85 21.35 22.35 18.3
[5,] 17.90 19.10 21.10 21.40 23.00 23.90 18.3

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 14.71145 16.59303 17.07901 18.40181 20.09742 15.03617 18.3
[2,] 15.98855 18.00697 18.72099 19.99819 21.60258 20.46383 18.3

$out
[1] 11.7 13.9

$group
[1] 1 2

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

Warning message:
In bxp(list(stats = c(14.6, 14.95, 15.35, 16.35, 17.9, 15.9, 16.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7yies1261053199.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,] 15.48333 15.650 15.76250
[2,] 17.48333 16.975 17.35000
[3,] 18.24167 17.900 17.82500
[4,] 19.24524 18.750 19.06875
[5,] 19.76667 20.100 19.76250

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 17.43805 17.09041 17.04107
[2,] 19.04528 18.70959 18.60893

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(15.4833333333333, 17.4833333333333, 18.2416666666667,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1zv6k1261053199.ps tmp/1zv6k1261053199.png",intern=TRUE))
character(0)
> try(system("convert tmp/2s40n1261053199.ps tmp/2s40n1261053199.png",intern=TRUE))
character(0)
> try(system("convert tmp/3rzmp1261053199.ps tmp/3rzmp1261053199.png",intern=TRUE))
character(0)
> try(system("convert tmp/4maij1261053199.ps tmp/4maij1261053199.png",intern=TRUE))
character(0)
> try(system("convert tmp/5zpb11261053199.ps tmp/5zpb11261053199.png",intern=TRUE))
character(0)
> try(system("convert tmp/6tmzu1261053199.ps tmp/6tmzu1261053199.png",intern=TRUE))
character(0)
> try(system("convert tmp/7yies1261053199.ps tmp/7yies1261053199.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.210   0.960   1.959