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(286602,283042,276687,277915,277128,277103,275037,270150,267140,264993,287259,291186,292300,288186,281477,282656,280190,280408,276836,275216,274352,271311,289802,290726,292300,278506,269826,265861,269034,264176,255198,253353,246057,235372,258556,260993,254663,250643,243422,247105,248541,245039,237080,237085,225554,226839,247934,248333,246969,245098,246263,255765,264319,268347,273046,273963,267430,271993,292710,295881)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = '8'
> par1 = '12'
> ylab = ''
> xlab = ''
> main = ''
> #'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] 60
> (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] 5 5 5 5 5 5 5 5 5 5 5 5
> arr
        [,1]   [,2]   [,3]   [,4]   [,5] [,6]
 [1,] 286602 292300 292300 254663 246969   NA
 [2,] 283042 288186 278506 250643 245098   NA
 [3,] 276687 281477 269826 243422 246263   NA
 [4,] 277915 282656 265861 247105 255765   NA
 [5,] 277128 280190 269034 248541 264319   NA
 [6,] 277103 280408 264176 245039 268347   NA
 [7,] 275037 276836 255198 237080 273046   NA
 [8,] 270150 275216 253353 237085 273963   NA
 [9,] 267140 274352 246057 225554 267430   NA
[10,] 264993 271311 235372 226839 271993   NA
[11,] 287259 289802 258556 247934 292710   NA
[12,] 291186 290726 260993 248333 295881   NA
> darr
       [,1]  [,2]   [,3]   [,4]  [,5] [,6]
 [1,] -3560 -4114 -13794  -4020 -1871   NA
 [2,] -6355 -6709  -8680  -7221  1165   NA
 [3,]  1228  1179  -3965   3683  9502   NA
 [4,]  -787 -2466   3173   1436  8554   NA
 [5,]   -25   218  -4858  -3502  4028   NA
 [6,] -2066 -3572  -8978  -7959  4699   NA
 [7,] -4887 -1620  -1845      5   917   NA
 [8,] -3010  -864  -7296 -11531 -6533   NA
 [9,] -2147 -3041 -10685   1285  4563   NA
[10,] 22266 18491  23184  21095 20717   NA
[11,]  3927   924   2437    399  3171   NA
[12,]  1114  1574  -6330  -1364    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/1zog51290785993.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/2aff81290785993.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/3aff81290785993.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/4aff81290785993.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]
[1,] 246969 245098 243422 247105 248541 245039 237080 237085 225554 226839
[2,] 254663 250643 246263 255765 264319 264176 255198 253353 246057 235372
[3,] 286602 278506 269826 265861 269034 268347 273046 270150 267140 264993
[4,] 292300 283042 276687 277915 277128 277103 275037 273963 267430 271311
[5,] 292300 288186 281477 282656 280190 280408 276836 275216 274352 271993
      [,11]  [,12]
[1,] 247934 248333
[2,] 258556 260993
[3,] 287259 290726
[4,] 289802 291186
[5,] 292710 295881

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 260007.8 255612.9 248328.5 250209.9 259983.2 259212.8 259027.8 255587.0
[2,] 313196.2 301399.1 291323.5 281512.1 278084.8 277481.2 287064.2 284713.0
         [,9]    [,10]    [,11]    [,12]
[1,] 252037.9 239598.6 265180.7 269391.7
[2,] 282242.1 290387.4 309337.3 312060.3

$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(246969, 254663, 286602, 292300, 292300, 245098,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5k6et1290785993.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,] -4114 -7221 1179 -2466 -4858 -8978 -1845 -11531 -3041 18491   399 -6330
[2,] -4114 -7221 1179  -787 -3502 -7959 -1845  -7296 -3041 20717   924 -3847
[3,] -4020 -6709 1228  1436   -25 -3572 -1620  -6533 -2147 21095  2437  -125
[4,] -3560 -6355 3683  3173   218 -2066     5  -3010  1285 22266  3171  1344
[5,] -3560 -6355 3683  8554  4028  4699   917   -864  4563 23184  3927  1574

$n
 [1] 5 5 5 5 5 5 5 5 5 5 5 4

$conf
          [,1]      [,2]      [,3]      [,4]      [,5]      [,6]       [,7]
[1,] -4411.455 -7320.913 -541.3201 -1362.126 -2653.543 -7735.979 -2927.2053
[2,] -3628.545 -6097.087 2997.3201  4234.126  2603.543   591.979  -312.7947
          [,8]       [,9]    [,10]     [,11]    [,12]
[1,] -9561.477 -5203.7407 20000.48  849.2755 -4225.89
[2,] -3504.523   909.7407 22189.52 4024.7245  3975.89

$out
[1] -13794  -1871  -8680   1165  -3965   9502  -4887 -10685

$group
[1] 1 1 2 2 3 3 7 9

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

Warning message:
In bxp(list(stats = c(-4114, -4114, -4020, -3560, -3560, -7221,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6k6et1290785993.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,] 264993.0 271311.0 235372.0 225554.0 245098.0   NA
[2,] 272593.5 276026.0 254275.5 237082.5 251367.0   NA
[3,] 277115.5 280942.5 262584.5 246072.0 267888.5   NA
[4,] 284822.0 288994.0 269430.0 248437.0 273504.5   NA
[5,] 291186.0 292300.0 278506.0 254663.0 295881.0   NA

$n
[1] 12 12 12 12 12  0

$conf
       [,1]     [,2]     [,3]     [,4]     [,5] [,6]
[1,] 271538 275027.7 255672.4 240893.1 257791.4   NA
[2,] 282693 286857.3 269496.6 251250.9 277985.6   NA

$out
[1] 292300

$group
[1] 3

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

Warning message:
In bxp(list(stats = c(264993, 272593.5, 277115.5, 284822, 291186,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7dyww1290785993.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,] 254101.6 264993.0 253341.5
[2,] 262696.4 267743.5 262566.5
[3,] 266437.5 269988.0 266841.2
[4,] 271830.9 282554.0 272102.5
[5,] 277423.8 290726.0 276089.5

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 262271.2 263232.8 262491.8
[2,] 270603.8 276743.2 271190.7

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(254101.6, 262696.4, 266437.5, 271830.9, 277423.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1zog51290785993.ps tmp/1zog51290785993.png",intern=TRUE))
character(0)
> try(system("convert tmp/2aff81290785993.ps tmp/2aff81290785993.png",intern=TRUE))
character(0)
> try(system("convert tmp/3aff81290785993.ps tmp/3aff81290785993.png",intern=TRUE))
character(0)
> try(system("convert tmp/4aff81290785993.ps tmp/4aff81290785993.png",intern=TRUE))
character(0)
> try(system("convert tmp/5k6et1290785993.ps tmp/5k6et1290785993.png",intern=TRUE))
character(0)
> try(system("convert tmp/6k6et1290785993.ps tmp/6k6et1290785993.png",intern=TRUE))
character(0)
> try(system("convert tmp/7dyww1290785993.ps tmp/7dyww1290785993.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.197   0.948   2.930