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(267413,267366,264777,258863,254844,254868,277267,285351,286602,283042,276687,277915,277128,277103,275037,270150,267140,264993,287259,291186,292300,288186,281477,282656,280190,280408,276836,275216,274352,271311,289802,290726,292300,278506,269826,265861,269034,264176,255198,253353,246057,235372,258556,260993,254663,250643,243422,247105,248541,245039,237080,237085,225554,226839,247934,248333,246969,245098,246263,255765,264319,268347,273046,273963,267430,271993,292710)
> 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] 67
> (np <- floor(n / par1))
[1] 5
> 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 5 5 5 5 5
> arr
        [,1]   [,2]   [,3]   [,4]   [,5]   [,6]
 [1,] 267413 277128 280190 269034 248541 264319
 [2,] 267366 277103 280408 264176 245039 268347
 [3,] 264777 275037 276836 255198 237080 273046
 [4,] 258863 270150 275216 253353 237085 273963
 [5,] 254844 267140 274352 246057 225554 267430
 [6,] 254868 264993 271311 235372 226839 271993
 [7,] 277267 287259 289802 258556 247934 292710
 [8,] 285351 291186 290726 260993 248333     NA
 [9,] 286602 292300 292300 254663 246969     NA
[10,] 283042 288186 278506 250643 245098     NA
[11,] 276687 281477 269826 243422 246263     NA
[12,] 277915 282656 265861 247105 255765     NA
> darr
       [,1]  [,2]   [,3]   [,4]   [,5]  [,6]
 [1,]   -47   -25    218  -4858  -3502  4028
 [2,] -2589 -2066  -3572  -8978  -7959  4699
 [3,] -5914 -4887  -1620  -1845      5   917
 [4,] -4019 -3010   -864  -7296 -11531 -6533
 [5,]    24 -2147  -3041 -10685   1285  4563
 [6,] 22399 22266  18491  23184  21095 20717
 [7,]  8084  3927    924   2437    399    NA
 [8,]  1251  1114   1574  -6330  -1364    NA
 [9,] -3560 -4114 -13794  -4020  -1871    NA
[10,] -6355 -6709  -8680  -7221   1165    NA
[11,]  1228  1179  -3965   3683   9502    NA
[12,]  -787 -2466   3173   1436   8554    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/1e5i21262266404.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/2t39j1262266404.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/3iua41262266404.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/410ka1262266404.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]
[1,] 248541.0 245039.0 237080.0 237085.0 225554 226839.0 247934 248333 246969
[2,] 264319.0 264176.0 255198.0 253353.0 246057 235372.0 258556 260993 254663
[3,] 268223.5 267856.5 268911.5 264506.5 260992 259930.5 282263 285351 286602
[4,] 277128.0 277103.0 275037.0 273963.0 267430 271311.0 289802 290726 292300
[5,] 280190.0 280408.0 276836.0 275216.0 274352 271993.0 292710 291186 292300
      [,10]  [,11]  [,12]
[1,] 245098 243422 247105
[2,] 250643 246263 255765
[3,] 278506 269826 265861
[4,] 283042 276687 277915
[5,] 288186 281477 282656

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 259961.3 259518.2 256114.7 251212.4 247205.7 236748.7 262108.3 264341.7
[2,] 276485.7 276194.8 281708.3 277800.6 274778.3 283112.3 302417.7 306360.3
         [,9]    [,10]    [,11]    [,12]
[1,] 260007.8 255612.9 248328.5 250209.9
[2,] 313196.2 301399.1 291323.5 281512.1

$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(248541, 264319, 268223.5, 277128, 280190,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5dw6r1262266404.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]
[1,] -4858 -8978.0 -5914.0 -11531 -3041.0 18491.0  399 -1364 -4114 -7221  1179
[2,] -3502 -7959.0 -4887.0  -7296 -3041.0 20717.0  924 -1364 -4114 -7221  1179
[3,]   -36 -3080.5 -1732.5  -5276 -1061.5 21680.5 2437  1114 -4020 -6709  1228
[4,]   218 -2066.0     5.0  -3010  1285.0 22399.0 3927  1251 -3560 -6355  3683
[5,]  4028  4699.0   917.0   -864  4563.0 23184.0 8084  1574 -3560 -6355  3683
     [,12]
[1,] -2466
[2,]  -787
[3,]  1436
[4,]  3173
[5,]  8554

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

$conf
         [,1]       [,2]      [,3]      [,4]      [,5]     [,6]      [,7]
[1,] -2435.52 -6881.6753 -4887.998 -8040.608 -3851.910 20595.56  315.0878
[2,]  2363.52   720.6753  1422.998 -2511.392  1728.910 22765.44 4558.9122
          [,8]      [,9]     [,10]     [,11]     [,12]
[1,] -733.7524 -4411.455 -7320.913 -541.3201 -1362.126
[2,] 2961.7524 -3628.545 -6097.087 2997.3201  4234.126

$out
[1] -10685  -6330 -13794  -1871  -8680   1165  -3965   9502

$group
[1]  5  8  9  9 10 10 11 11

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

Warning message:
In bxp(list(stats = c(-4858, -3502, -36, 218, 4028, -8978, -7959,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6uhtd1262266404.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]
[1,] 254844.0 264993.0 265861.0 235372.0 225554.0 264319.0
[2,] 261820.0 272593.5 272831.5 246581.0 237082.5 267888.5
[3,] 272050.0 279302.5 277671.0 254008.0 245680.5 271993.0
[4,] 280478.5 287722.5 285105.0 259774.5 248133.5 273504.5
[5,] 286602.0 292300.0 292300.0 269034.0 255765.0 273963.0

$n
[1] 12 12 12 12 12  7

$conf
         [,1]     [,2]   [,3]     [,4]     [,5]     [,6]
[1,] 263539.7 272402.1 272073 247990.4 240640.1 268639.2
[2,] 280560.3 286202.9 283269 260025.6 250720.9 275346.8

$out
[1] 292710

$group
[1] 6

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

Warning message:
In bxp(list(stats = c(254844, 261820, 272050, 280478.5, 286602,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/734th1262266404.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,] 254229.3 259930.5 254988.8
[2,] 262486.7 265183.8 262672.6
[3,] 266466.8 268567.5 266841.2
[4,] 271830.9 280384.5 271790.0
[5,] 275588.0 286602.0 276200.0

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 262204.8 261634.3 262682.7
[2,] 270728.8 275500.7 270999.8

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(254229.333333333, 262486.666666667, 266466.783333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> try(system("convert tmp/1e5i21262266404.ps tmp/1e5i21262266404.png",intern=TRUE))
character(0)
> try(system("convert tmp/2t39j1262266404.ps tmp/2t39j1262266404.png",intern=TRUE))
character(0)
> try(system("convert tmp/3iua41262266404.ps tmp/3iua41262266404.png",intern=TRUE))
character(0)
> try(system("convert tmp/410ka1262266404.ps tmp/410ka1262266404.png",intern=TRUE))
character(0)
> try(system("convert tmp/5dw6r1262266404.ps tmp/5dw6r1262266404.png",intern=TRUE))
character(0)
> try(system("convert tmp/6uhtd1262266404.ps tmp/6uhtd1262266404.png",intern=TRUE))
character(0)
> try(system("convert tmp/734th1262266404.ps tmp/734th1262266404.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.244   0.982   3.886