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(0.5,1.0,0.1,0.4,1.0,0.1,-1.7,-2.2,-0.4,0.5,0.8,0.2,0.3,0.3,1.0,1.0,1.0,0.3,0.7,0.7,0.7,0.7,0.2,0.1,1.0,0.6,1.4,0.7,0.4,0.1,-0.1,0.2,0.5,0.5,1.0,-0.2,-0.4,0.2,-0.4,1.0,0.6,0.7,0.7,1.3,1.4,1.3,1.3,0.1,0.3,0.2)
> 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] 50
> (np <- floor(n / par1))
[1] 4
> 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 4 4 4 4 4 4 4 4 4 4
> arr
      [,1] [,2] [,3] [,4] [,5]
 [1,]  0.5  0.3  1.0 -0.4  0.3
 [2,]  1.0  0.3  0.6  0.2  0.2
 [3,]  0.1  1.0  1.4 -0.4   NA
 [4,]  0.4  1.0  0.7  1.0   NA
 [5,]  1.0  1.0  0.4  0.6   NA
 [6,]  0.1  0.3  0.1  0.7   NA
 [7,] -1.7  0.7 -0.1  0.7   NA
 [8,] -2.2  0.7  0.2  1.3   NA
 [9,] -0.4  0.7  0.5  1.4   NA
[10,]  0.5  0.7  0.5  1.3   NA
[11,]  0.8  0.2  1.0  1.3   NA
[12,]  0.2  0.1 -0.2  0.1   NA
> darr
      [,1] [,2] [,3] [,4] [,5]
 [1,]  0.5  0.0 -0.4  0.6 -0.1
 [2,] -0.9  0.7  0.8 -0.6   NA
 [3,]  0.3  0.0 -0.7  1.4   NA
 [4,]  0.6  0.0 -0.3 -0.4   NA
 [5,] -0.9 -0.7 -0.3  0.1   NA
 [6,] -1.8  0.4 -0.2  0.0   NA
 [7,] -0.5  0.0  0.3  0.6   NA
 [8,]  1.8  0.0  0.3  0.1   NA
 [9,]  0.9  0.0  0.0 -0.1   NA
[10,]  0.3 -0.5  0.5  0.0   NA
[11,] -0.6 -0.1 -1.2 -1.2   NA
[12,]  0.1  0.9 -0.2  0.2   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/1k3vg1290781398.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/2k3vg1290781398.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/3cccj1290781398.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/4cccj1290781398.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] [,11] [,12]
[1,]  0.3  0.2 -0.40 0.40  0.4  0.1 -1.7 -2.20 -0.40   0.5  0.20 -0.20
[2,]  0.3  0.2 -0.15 0.55  0.5  0.1 -0.9 -1.00  0.05   0.5  0.50 -0.05
[3,]  0.3  0.3  0.55 0.85  0.8  0.2  0.3  0.45  0.60   0.6  0.90  0.10
[4,]  0.5  0.6  1.20 1.00  1.0  0.5  0.7  1.00  1.05   1.0  1.15  0.15
[5,]  0.5  1.0  1.40 1.00  1.0  0.7  0.7  1.30  1.40   1.3  1.30  0.20

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

$conf
          [,1]       [,2]    [,3]   [,4]  [,5]   [,6]   [,7]  [,8]  [,9] [,10]
[1,] 0.1586805 0.01736101 -0.5165 0.4945 0.405 -0.116 -0.964 -1.13 -0.19 0.205
[2,] 0.4413195 0.58263899  1.6165 1.2055 1.195  0.516  1.564  2.03  1.39 0.995
      [,11]  [,12]
[1,] 0.3865 -0.058
[2,] 1.4135  0.258

$out
[1]  1.0 -0.4

$group
[1] 1 1

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

Warning message:
In bxp(list(stats = c(0.3, 0.3, 0.3, 0.5, 0.5, 0.2, 0.2, 0.3, 0.6,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5nlum1290781398.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,] -0.4 -0.90 -0.70 -0.40 -0.9 -1.8 -0.50 0.00 -0.10 -0.50 -1.20 -0.20
[2,] -0.1 -0.75 -0.35 -0.35 -0.8 -1.0 -0.25 0.05 -0.05 -0.25 -1.20 -0.05
[3,]  0.0  0.05  0.15 -0.15 -0.5 -0.1  0.15 0.20  0.00  0.15 -0.90  0.15
[4,]  0.5  0.75  0.85  0.30 -0.1  0.2  0.45 1.05  0.45  0.40 -0.35  0.55
[5,]  0.6  0.80  1.40  0.60  0.1  0.4  0.60 1.80  0.90  0.50 -0.10  0.90

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

$conf
           [,1]   [,2]   [,3]    [,4]   [,5]   [,6]   [,7]  [,8]   [,9]   [,10]
[1,] -0.4239585 -1.135 -0.798 -0.6635 -1.053 -1.048 -0.403 -0.59 -0.395 -0.3635
[2,]  0.4239585  1.235  1.098  0.3635  0.053  0.848  0.703  0.99  0.395  0.6635
       [,11]  [,12]
[1,] -1.5715 -0.324
[2,] -0.2285  0.624

$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(-0.4, -0.1, 0, 0.5, 0.6, -0.9, -0.75, 0.0499999999999999,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6nlum1290781398.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]
[1,] -0.40 0.10 -0.20 -0.40 0.20
[2,] -0.15 0.30  0.15  0.15 0.20
[3,]  0.30 0.70  0.50  0.70 0.25
[4,]  0.65 0.85  0.85  1.30 0.30
[5,]  1.00 1.00  1.40  1.40 0.30

$n
[1] 12 12 12 12  2

$conf
            [,1]      [,2]      [,3]      [,4]      [,5]
[1,] -0.06488537 0.4491413 0.1807253 0.1754773 0.1382771
[2,]  0.66488537 0.9508587 0.8192747 1.2245227 0.3617229

$out
[1] -1.7 -2.2

$group
[1] 1 1

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

Warning message:
In bxp(list(stats = c(-0.4, -0.15, 0.3, 0.65, 1, 0.1, 0.3, 0.7,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7nlum1290781398.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,] -0.1000  0.1 0.07500
[2,]  0.1750  0.3 0.23750
[3,]  0.4925  0.5 0.46875
[4,]  0.7500  0.7 0.72500
[5,]  0.8250  0.9 0.86250

$n
[1] 12 12 12

$conf
          [,1]      [,2]     [,3]
[1,] 0.2302386 0.3175573 0.246398
[2,] 0.7547614 0.6824427 0.691102

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(-0.1, 0.175, 0.4925, 0.75, 0.825, 0.1, 0.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1k3vg1290781398.ps tmp/1k3vg1290781398.png",intern=TRUE))
character(0)
> try(system("convert tmp/2k3vg1290781398.ps tmp/2k3vg1290781398.png",intern=TRUE))
character(0)
> try(system("convert tmp/3cccj1290781398.ps tmp/3cccj1290781398.png",intern=TRUE))
character(0)
> try(system("convert tmp/4cccj1290781398.ps tmp/4cccj1290781398.png",intern=TRUE))
character(0)
> try(system("convert tmp/5nlum1290781398.ps tmp/5nlum1290781398.png",intern=TRUE))
character(0)
> try(system("convert tmp/6nlum1290781398.ps tmp/6nlum1290781398.png",intern=TRUE))
character(0)
> try(system("convert tmp/7nlum1290781398.ps tmp/7nlum1290781398.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.182   0.951   2.899