R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(106.09,106.19,106.2,106.22,106.22,106.23,106.23,106.61,106.95,107.2,107.56,107.72,107.74,107.8,107.8,108.1,108.14,108.16,108.16,108.16,108.95,110.49,110.71,110.72,110.75,110.82,110.82,110.84,110.84,110.84,110.86,110.92,111.46,112.46,113.04,113.15,113.15,113.21,113.37,113.47,113.71,113.71,113.71,113.8,115.46,117,117.94,118.08,118.08,118.45,118.47,118.49,118.54,118.55,118.55,118.55,119.04,121.37,121.73,121.83,121.83,121.91,122,122.03,122.14,122.14,122.23,122.49,123.02,125.98,126.13,126.39)
> 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,] 106.09 107.74 110.75 113.15 118.08 121.83   NA
 [2,] 106.19 107.80 110.82 113.21 118.45 121.91   NA
 [3,] 106.20 107.80 110.82 113.37 118.47 122.00   NA
 [4,] 106.22 108.10 110.84 113.47 118.49 122.03   NA
 [5,] 106.22 108.14 110.84 113.71 118.54 122.14   NA
 [6,] 106.23 108.16 110.84 113.71 118.55 122.14   NA
 [7,] 106.23 108.16 110.86 113.71 118.55 122.23   NA
 [8,] 106.61 108.16 110.92 113.80 118.55 122.49   NA
 [9,] 106.95 108.95 111.46 115.46 119.04 123.02   NA
[10,] 107.20 110.49 112.46 117.00 121.37 125.98   NA
[11,] 107.56 110.71 113.04 117.94 121.73 126.13   NA
[12,] 107.72 110.72 113.15 118.08 121.83 126.39   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] 0.10 0.06 0.07 0.06 0.37 0.08   NA
 [2,] 0.01 0.00 0.00 0.16 0.02 0.09   NA
 [3,] 0.02 0.30 0.02 0.10 0.02 0.03   NA
 [4,] 0.00 0.04 0.00 0.24 0.05 0.11   NA
 [5,] 0.01 0.02 0.00 0.00 0.01 0.00   NA
 [6,] 0.00 0.00 0.02 0.00 0.00 0.09   NA
 [7,] 0.38 0.00 0.06 0.09 0.00 0.26   NA
 [8,] 0.34 0.79 0.54 1.66 0.49 0.53   NA
 [9,] 0.25 1.54 1.00 1.54 2.33 2.96   NA
[10,] 0.36 0.22 0.58 0.94 0.36 0.15   NA
[11,] 0.16 0.01 0.11 0.14 0.10 0.26   NA
[12,] 0.02 0.03 0.00 0.00 0.00   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/wessaorg/rcomp/tmp/1zvpr1319568859.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/2vfar1319568859.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/3udhv1319568859.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/45jxu1319568859.ps",horizontal=F,onefile=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]
[1,] 106.09 106.190 106.200 106.220 106.220 106.230 106.230 106.61 106.95
[2,] 107.74 107.800 107.800 108.100 108.140 108.160 108.160 108.16 108.95
[3,] 111.95 112.015 112.095 112.155 112.275 112.275 112.285 112.36 113.46
[4,] 118.08 118.450 118.470 118.490 118.540 118.550 118.550 118.55 119.04
[5,] 121.83 121.910 122.000 122.030 122.140 122.140 122.230 122.49 123.02
      [,10]  [,11]   [,12]
[1,] 107.20 107.56 107.720
[2,] 110.49 110.71 110.720
[3,] 114.73 115.49 115.615
[4,] 121.37 121.73 121.830
[5,] 125.98 126.13 126.390

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 105.2804 105.1454 105.2125 105.4531 105.5667 105.5731 105.5831 105.6581
[2,] 118.6196 118.8846 118.9775 118.8569 118.9833 118.9769 118.9869 119.0619
         [,9]   [,10]    [,11]    [,12]
[1,] 106.9516 107.712 108.3817 108.4487
[2,] 119.9684 121.748 122.5983 122.7813

$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(106.09, 107.74, 111.95, 118.08, 121.83, 106.19,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5azxt1319568859.ps",horizontal=F,onefile=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,] 0.060 0.000 0.020 0.000 0.000 0.00 0.000 0.340 0.25  0.15 0.010  0.00
[2,] 0.060 0.000 0.020 0.000 0.000 0.00 0.000 0.490 1.00  0.22 0.100  0.00
[3,] 0.075 0.015 0.025 0.045 0.005 0.00 0.075 0.535 1.54  0.36 0.125  0.00
[4,] 0.100 0.090 0.100 0.110 0.010 0.02 0.260 0.790 2.33  0.58 0.160  0.02
[5,] 0.100 0.160 0.100 0.240 0.020 0.02 0.380 0.790 2.96  0.94 0.160  0.03

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

$conf
           [,1]        [,2]        [,3]        [,4]         [,5]        [,6]
[1,] 0.04919871 -0.04305291 -0.02660258 -0.02595355 -0.001450323 -0.01290065
[2,] 0.10080129  0.07305291  0.07660258  0.11595355  0.011450323  0.01290065
           [,7]      [,8]     [,9]     [,10]      [,11]       [,12]
[1,] -0.0927084 0.3414903 0.682107 0.1277884 0.08629806 -0.01413195
[2,]  0.2427084 0.7285097 2.397893 0.5922116 0.16370194  0.01413195

$out
[1] 0.37 0.30 0.09 1.66 0.26

$group
[1]  1  3  6  8 11

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

Warning message:
In bxp(list(stats = c(0.0599999999999881, 0.0600000000000023, 0.0749999999999957,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6peq21319568859.ps",horizontal=F,onefile=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,] 106.090 107.74 110.75 113.15 118.080 121.830   NA
[2,] 106.210 107.95 110.83 113.42 118.480 122.015   NA
[3,] 106.230 108.16 110.85 113.71 118.550 122.185   NA
[4,] 107.075 109.72 111.96 116.23 120.205 124.500   NA
[5,] 107.720 110.72 113.15 118.08 121.830 126.390   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 105.8355 107.3527 110.3346 112.4283 117.7632 121.0516   NA
[2,] 106.6245 108.9673 111.3654 114.9917 119.3368 123.3184   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(106.09, 106.21, 106.23, 107.075, 107.72, 107.74,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7bizy1319568859.ps",horizontal=F,onefile=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,] 112.9400 111.950 112.6700
[2,] 113.1508 112.125 112.9425
[3,] 113.2808 112.280 113.0863
[4,] 114.9483 114.095 114.7456
[5,] 116.3150 115.615 116.1100

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 112.4610 111.3815 112.2638
[2,] 114.1007 113.1785 113.9087

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(112.94, 113.150833333333, 113.280833333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1zvpr1319568859.ps tmp/1zvpr1319568859.png",intern=TRUE))
character(0)
> try(system("convert tmp/2vfar1319568859.ps tmp/2vfar1319568859.png",intern=TRUE))
character(0)
> try(system("convert tmp/3udhv1319568859.ps tmp/3udhv1319568859.png",intern=TRUE))
character(0)
> try(system("convert tmp/45jxu1319568859.ps tmp/45jxu1319568859.png",intern=TRUE))
character(0)
> try(system("convert tmp/5azxt1319568859.ps tmp/5azxt1319568859.png",intern=TRUE))
character(0)
> try(system("convert tmp/6peq21319568859.ps tmp/6peq21319568859.png",intern=TRUE))
character(0)
> try(system("convert tmp/7bizy1319568859.ps tmp/7bizy1319568859.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.673   0.325   2.025