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(9.24,9.29,9.39,9.42,9.42,9.43,9.5,9.53,9.58,9.58,9.6,9.61,9.65,9.71,9.78,9.79,9.84,9.87,9.9,9.95,9.96,9.98,10.01,10,10.03,10.05,10.06,10.09,10.24,10.23,10.27,10.28,10.29,10.44,10.51,10.52,10.57,10.62,10.71,10.73,10.74,10.75,10.79,10.81,10.87,10.92,10.95,10.94,10.97,10.99,11.04,11.09,11.12,11.11,11.14,11.2,11.25,11.3,11.31,11.31)
> 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,] 9.24  9.65 10.03 10.57 10.97   NA
 [2,] 9.29  9.71 10.05 10.62 10.99   NA
 [3,] 9.39  9.78 10.06 10.71 11.04   NA
 [4,] 9.42  9.79 10.09 10.73 11.09   NA
 [5,] 9.42  9.84 10.24 10.74 11.12   NA
 [6,] 9.43  9.87 10.23 10.75 11.11   NA
 [7,] 9.50  9.90 10.27 10.79 11.14   NA
 [8,] 9.53  9.95 10.28 10.81 11.20   NA
 [9,] 9.58  9.96 10.29 10.87 11.25   NA
[10,] 9.58  9.98 10.44 10.92 11.30   NA
[11,] 9.60 10.01 10.51 10.95 11.31   NA
[12,] 9.61 10.00 10.52 10.94 11.31   NA
> darr
      [,1]  [,2]  [,3]  [,4]  [,5] [,6]
 [1,] 0.05  0.06  0.02  0.05  0.02   NA
 [2,] 0.10  0.07  0.01  0.09  0.05   NA
 [3,] 0.03  0.01  0.03  0.02  0.05   NA
 [4,] 0.00  0.05  0.15  0.01  0.03   NA
 [5,] 0.01  0.03 -0.01  0.01 -0.01   NA
 [6,] 0.07  0.03  0.04  0.04  0.03   NA
 [7,] 0.03  0.05  0.01  0.02  0.06   NA
 [8,] 0.05  0.01  0.01  0.06  0.05   NA
 [9,] 0.00  0.02  0.15  0.05  0.05   NA
[10,] 0.02  0.03  0.07  0.03  0.01   NA
[11,] 0.01 -0.01  0.01 -0.01  0.00   NA
[12,] 0.04  0.03  0.05  0.03    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/1ldpb1331751894.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/227911331751894.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/3dr531331751894.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/42voh1331751894.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,]  9.24  9.29  9.39  9.42  9.42  9.43  9.50  9.53  9.58  9.58  9.60  9.61
[2,]  9.65  9.71  9.78  9.79  9.84  9.87  9.90  9.95  9.96  9.98 10.01 10.00
[3,] 10.03 10.05 10.06 10.09 10.24 10.23 10.27 10.28 10.29 10.44 10.51 10.52
[4,] 10.57 10.62 10.71 10.73 10.74 10.75 10.79 10.81 10.87 10.92 10.95 10.94
[5,] 10.97 10.99 11.04 11.09 11.12 11.11 11.14 11.20 11.25 11.30 11.31 11.31

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

$conf
         [,1]      [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
[1,]  9.37993  9.406996  9.402864  9.425798  9.604062  9.608194  9.641128
[2,] 10.68007 10.693004 10.717136 10.754202 10.875938 10.851806 10.898872
          [,8]      [,9]     [,10]     [,11]     [,12]
[1,]  9.672326  9.646996  9.775798  9.845798  9.855798
[2,] 10.887674 10.933004 11.104202 11.174202 11.184202

$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(9.24, 9.65, 10.03, 10.57, 10.97, 9.29, 9.71,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/5uuxj1331751894.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,] 0.02 0.01 0.01 0.00 -0.01 0.03 0.01 0.01 0.00  0.01 -0.01 0.030
[2,] 0.02 0.05 0.02 0.01 -0.01 0.03 0.02 0.01 0.02  0.02 -0.01 0.030
[3,] 0.05 0.07 0.03 0.03  0.01 0.04 0.03 0.05 0.05  0.03  0.00 0.035
[4,] 0.05 0.09 0.03 0.05  0.01 0.04 0.05 0.05 0.05  0.03  0.01 0.045
[5,] 0.06 0.10 0.03 0.05  0.03 0.04 0.06 0.06 0.05  0.03  0.01 0.050

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

$conf
           [,1]      [,2]       [,3]        [,4]        [,5]       [,6]
[1,] 0.02880208 0.0417361 0.02293403 0.001736101 -0.00413195 0.03293403
[2,] 0.07119792 0.0982639 0.03706597 0.058263899  0.02413195 0.04706597
            [,7]      [,8]       [,9]      [,10]       [,11]   [,12]
[1,] 0.008802076 0.0217361 0.02880208 0.02293403 -0.01413195 0.02315
[2,] 0.051197924 0.0782639 0.07119792 0.03706597  0.01413195 0.04685

$out
[1] 0.05 0.15 0.07 0.15 0.07

$group
[1]  3  4  6  9 10

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

Warning message:
In bxp(list(stats = c(0.0199999999999996, 0.0200000000000014, 0.0499999999999989,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6qq1j1331751894.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,] 9.240  9.650 10.030 10.570 10.970   NA
[2,] 9.405  9.785 10.075 10.720 11.065   NA
[3,] 9.465  9.885 10.255 10.770 11.130   NA
[4,] 9.580  9.970 10.365 10.895 11.275   NA
[5,] 9.610 10.010 10.520 10.950 11.310   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]    [,2]     [,3]     [,4]     [,5] [,6]
[1,] 9.385181 9.80062 10.12273 10.69018 11.03422   NA
[2,] 9.544819 9.96938 10.38727 10.84982 11.22578   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(9.24, 9.405, 9.465, 9.58, 9.61, 9.65, 9.785,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7a6zo1331751894.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,] 10.092 10.030 10.1100
[2,] 10.210 10.075 10.2525
[3,] 10.299 10.255 10.3275
[4,] 10.417 10.365 10.4325
[5,] 10.476 10.520 10.4800

$n
[1] 12 12 12

$conf
         [,1]     [,2]    [,3]
[1,] 10.20459 10.12273 10.2454
[2,] 10.39341 10.38727 10.4096

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(10.092, 10.21, 10.299, 10.417, 10.476, 10.03,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1ldpb1331751894.ps tmp/1ldpb1331751894.png",intern=TRUE))
character(0)
> try(system("convert tmp/227911331751894.ps tmp/227911331751894.png",intern=TRUE))
character(0)
> try(system("convert tmp/3dr531331751894.ps tmp/3dr531331751894.png",intern=TRUE))
character(0)
> try(system("convert tmp/42voh1331751894.ps tmp/42voh1331751894.png",intern=TRUE))
character(0)
> try(system("convert tmp/5uuxj1331751894.ps tmp/5uuxj1331751894.png",intern=TRUE))
character(0)
> try(system("convert tmp/6qq1j1331751894.ps tmp/6qq1j1331751894.png",intern=TRUE))
character(0)
> try(system("convert tmp/7a6zo1331751894.ps tmp/7a6zo1331751894.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   2.34    0.34    2.66