R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(20.89,21.04,21.07,21.12,21.25,21.24,21.24,21.22,21.29,21.25,21.15,21.16,21.16,21.52,21.59,21.6,21.68,21.67,21.67,21.65,21.74,21.72,21.84,21.94,21.94,21.95,21.96,22.1,22.13,22.18,22.18,22.27,22.3,22.04,22.05,22.06,22.06,22.06,21.97,22.03,22.08,22.13,22.13,22.4,22.4,22.12,22.22,22.14,22.14,22.19,22.29,22.24,22.26,22.29,22.29,22.29,22.29,22.35,22.39,22.43)
> 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] 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,] 20.89 21.16 21.94 22.06 22.14   NA
 [2,] 21.04 21.52 21.95 22.06 22.19   NA
 [3,] 21.07 21.59 21.96 21.97 22.29   NA
 [4,] 21.12 21.60 22.10 22.03 22.24   NA
 [5,] 21.25 21.68 22.13 22.08 22.26   NA
 [6,] 21.24 21.67 22.18 22.13 22.29   NA
 [7,] 21.24 21.67 22.18 22.13 22.29   NA
 [8,] 21.22 21.65 22.27 22.40 22.29   NA
 [9,] 21.29 21.74 22.30 22.40 22.29   NA
[10,] 21.25 21.72 22.04 22.12 22.35   NA
[11,] 21.15 21.84 22.05 22.22 22.39   NA
[12,] 21.16 21.94 22.06 22.14 22.43   NA
> darr
       [,1]  [,2]  [,3]  [,4]  [,5] [,6]
 [1,]  0.15  0.36  0.01  0.00  0.05   NA
 [2,]  0.03  0.07  0.01 -0.09  0.10   NA
 [3,]  0.05  0.01  0.14  0.06 -0.05   NA
 [4,]  0.13  0.08  0.03  0.05  0.02   NA
 [5,] -0.01 -0.01  0.05  0.05  0.03   NA
 [6,]  0.00  0.00  0.00  0.00  0.00   NA
 [7,] -0.02 -0.02  0.09  0.27  0.00   NA
 [8,]  0.07  0.09  0.03  0.00  0.00   NA
 [9,] -0.04 -0.02 -0.26 -0.28  0.06   NA
[10,] -0.10  0.12  0.01  0.10  0.04   NA
[11,]  0.01  0.10  0.01 -0.08  0.04   NA
[12,]  0.00  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/www/rcomp/tmp/1icla1319658658.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/www/rcomp/tmp/28yr41319658658.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/www/rcomp/tmp/3eagk1319658658.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/www/rcomp/tmp/4vvib1319658658.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] [,10] [,11] [,12]
[1,] 20.89 21.04 21.07 21.12 21.25 21.24 21.24 21.22 21.29 21.25 21.84 21.94
[2,] 21.16 21.52 21.59 21.60 21.68 21.67 21.67 21.65 21.74 21.72 21.84 21.94
[3,] 21.94 21.95 21.96 22.03 22.08 22.13 22.13 22.27 22.29 22.04 22.05 22.06
[4,] 22.06 22.06 21.97 22.10 22.13 22.18 22.18 22.29 22.30 22.12 22.22 22.14
[5,] 22.14 22.19 22.29 22.24 22.26 22.29 22.29 22.40 22.40 22.35 22.39 22.43

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

$conf
         [,1]     [,2]     [,3]    [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 21.30406 21.56844 21.69149 21.6767 21.76203 21.76964 21.76964 21.81778
[2,] 22.57594 22.33156 22.22851 22.3833 22.39797 22.49036 22.49036 22.72222
         [,9]    [,10]    [,11]    [,12]
[1,] 21.89431 21.75736 21.78149 21.91868
[2,] 22.68569 22.32264 22.31851 22.20132

$out
[1] 21.15 21.16

$group
[1] 11 12

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

Warning message:
In bxp(list(stats = c(20.89, 21.16, 21.94, 22.06, 22.14, 21.04,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/5zdpk1319658658.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,] 0.00 0.01 -0.05 0.02 -0.01    0 -0.02 0.00 -0.28 -0.10  0.01     0
[2,] 0.01 0.01  0.01 0.03 -0.01    0 -0.02 0.00 -0.26  0.01  0.01     0
[3,] 0.05 0.03  0.05 0.05  0.03    0  0.00 0.03 -0.04  0.04  0.01     0
[4,] 0.15 0.07  0.06 0.08  0.05    0  0.09 0.07 -0.02  0.10  0.04     0
[5,] 0.36 0.10  0.06 0.13  0.05    0  0.09 0.09  0.06  0.12  0.04     0

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

$conf
            [,1]        [,2]       [,3]       [,4]        [,5] [,6]        [,7]
[1,] -0.04892365 -0.01239585 0.01467013 0.01467013 -0.01239585    0 -0.07772572
[2,]  0.14892365  0.07239585 0.08532987 0.08532987  0.07239585    0  0.07772572
            [,8]       [,9]       [,10]       [,11] [,12]
[1,] -0.01946182 -0.2095834 -0.02359377 -0.01119792     0
[2,]  0.07946182  0.1295834  0.10359377  0.03119792     0

$out
[1] -0.09  0.14  0.27  0.10 -0.08

$group
[1]  2  3  7 11 11

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

Warning message:
In bxp(list(stats = c(0, 0.009999999999998, 0.0500000000000007,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6g5qx1319658658.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]
[1,] 20.890 21.520 21.94 21.970 22.19   NA
[2,] 21.095 21.595 22.00 22.060 22.25   NA
[3,] 21.190 21.670 22.08 22.125 22.29   NA
[4,] 21.245 21.730 22.18 22.180 22.32   NA
[5,] 21.290 21.840 22.30 22.220 22.39   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]    [,3]     [,4]     [,5] [,6]
[1,] 21.12158 21.60843 21.9979 22.07027 22.25807   NA
[2,] 21.25842 21.73157 22.1621 22.17973 22.32193   NA

$out
[1] 21.16 21.94 22.40 22.40 22.14 22.43

$group
[1] 2 2 4 4 5 5

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

Warning message:
In bxp(list(stats = c(20.89, 21.095, 21.19, 21.245, 21.29, 21.52,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7cpop1319658658.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,] 21.638 21.940 21.6100
[2,] 21.797 21.995 21.8200
[3,] 21.899 22.055 21.9225
[4,] 21.938 22.130 21.9950
[5,] 22.004 22.290 22.0400

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 21.83469 21.99343 21.84268
[2,] 21.96331 22.11657 22.00232

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(21.638, 21.797, 21.899, 21.938, 22.004, 21.94,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1icla1319658658.ps tmp/1icla1319658658.png",intern=TRUE))
character(0)
> try(system("convert tmp/28yr41319658658.ps tmp/28yr41319658658.png",intern=TRUE))
character(0)
> try(system("convert tmp/3eagk1319658658.ps tmp/3eagk1319658658.png",intern=TRUE))
character(0)
> try(system("convert tmp/4vvib1319658658.ps tmp/4vvib1319658658.png",intern=TRUE))
character(0)
> try(system("convert tmp/5zdpk1319658658.ps tmp/5zdpk1319658658.png",intern=TRUE))
character(0)
> try(system("convert tmp/6g5qx1319658658.ps tmp/6g5qx1319658658.png",intern=TRUE))
character(0)
> try(system("convert tmp/7cpop1319658658.ps tmp/7cpop1319658658.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.470   0.280   2.731