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(50,53,55,57,60,59,60,60,62,64,65,66,67,66,66,67,67,68,69,71,70,68,67,66,66,66,66,67,67,68,68,68,67,68,67,68,68,71,73,75,75,76,77,77,81,85,86,89)
> 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] 48
> (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] 4 4 4 4 4 4 4 4 4 4 4 4
> arr
      [,1] [,2] [,3] [,4] [,5]
 [1,]   50   67   66   68   NA
 [2,]   53   66   66   71   NA
 [3,]   55   66   66   73   NA
 [4,]   57   67   67   75   NA
 [5,]   60   67   67   75   NA
 [6,]   59   68   68   76   NA
 [7,]   60   69   68   77   NA
 [8,]   60   71   68   77   NA
 [9,]   62   70   67   81   NA
[10,]   64   68   68   85   NA
[11,]   65   67   67   86   NA
[12,]   66   66   68   89   NA
> darr
      [,1] [,2] [,3] [,4] [,5]
 [1,]    3   -1    0    3   NA
 [2,]    2    0    0    2   NA
 [3,]    2    1    1    2   NA
 [4,]    3    0    0    0   NA
 [5,]   -1    1    1    1   NA
 [6,]    1    1    0    1   NA
 [7,]    0    2    0    0   NA
 [8,]    2   -1   -1    4   NA
 [9,]    2   -2    1    4   NA
[10,]    1   -1   -1    1   NA
[11,]    1   -1    1    3   NA
[12,]    1    0    0   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/1xode1321379071.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/2bvge1321379071.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/3yl2j1321379071.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/4fz0t1321379071.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,] 50.0 53.0 55.0   57 60.0 59.0 60.0 60.0 62.0  64.0  65.0  66.0
[2,] 58.0 59.5 60.5   62 63.5 63.5 64.0 64.0 64.5  66.0  66.0  66.0
[3,] 66.5 66.0 66.0   67 67.0 68.0 68.5 69.5 68.5  68.0  67.0  67.0
[4,] 67.5 68.5 69.5   71 71.0 72.0 73.0 74.0 75.5  76.5  76.5  78.5
[5,] 68.0 71.0 73.0   75 75.0 76.0 77.0 77.0 81.0  85.0  86.0  89.0

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

$conf
       [,1]  [,2]  [,3]  [,4]   [,5]   [,6]  [,7] [,8]  [,9]  [,10]  [,11]
[1,] 58.995 58.89 58.89 59.89 61.075 61.285 61.39 61.6 59.81 59.705 58.705
[2,] 74.005 73.11 73.11 74.11 72.925 74.715 75.61 77.4 77.19 76.295 75.295
      [,12]
[1,] 57.125
[2,] 76.875

$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(50, 58, 66.5, 67.5, 68, 53, 59.5, 66, 68.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/5p1xc1321379071.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,] -1.0    0  1.0  0.0   -1  0.0    0 -1.0 -2.0    -1    -1   0.0
[2,] -0.5    0  1.0  0.0    0  0.5    0 -1.0 -0.5    -1     0   0.0
[3,]  1.5    1  1.5  0.0    1  1.0    0  0.5  1.5     0     1   0.0
[4,]  3.0    2  2.0  1.5    1  1.0    1  3.0  3.0     1     2   0.5
[5,]  3.0    2  2.0  3.0    1  1.0    2  4.0  4.0     1     3   1.0

$n
 [1] 4 4 4 4 4 4 4 4 4 4 4 3

$conf
       [,1]  [,2] [,3]   [,4] [,5]  [,6]  [,7]  [,8]   [,9] [,10] [,11]
[1,] -1.265 -0.58 0.71 -1.185 0.21 0.605 -0.79 -2.66 -1.265 -1.58 -0.58
[2,]  4.265  2.58 2.29  1.185 1.79 1.395  0.79  3.66  4.265  1.58  2.58
          [,12]
[1,] -0.4561067
[2,]  0.4561067

$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(-1, -0.5, 1.5, 3, 3, 0, 0, 1, 2, 2, 1, 1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6z0c61321379071.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]
[1,]   50 66.0 66.0 68.0   NA
[2,]   56 66.5 66.5 74.0   NA
[3,]   60 67.0 67.0 76.5   NA
[4,]   63 68.5 68.0 83.0   NA
[5,]   66 71.0 68.0 89.0   NA

$n
[1] 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]     [,4] [,5]
[1,] 56.80725 66.08779 66.31584 72.39504   NA
[2,] 63.19275 67.91221 67.68416 80.60496   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(50, 56, 60, 63, 66, 66, 66.5, 67, 68.5, 71,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7omwp1321379071.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,] 62.750 66.00 64.6250
[2,] 65.750 66.75 66.1250
[3,] 68.125 67.00 68.1875
[4,] 70.625 68.25 69.2500
[5,] 72.250 69.50 69.6250

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 65.90148 66.31584 66.76217
[2,] 70.34852 67.68416 69.61283

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(62.75, 65.75, 68.125, 70.625, 72.25, 66, 66.75,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1xode1321379071.ps tmp/1xode1321379071.png",intern=TRUE))
character(0)
> try(system("convert tmp/2bvge1321379071.ps tmp/2bvge1321379071.png",intern=TRUE))
character(0)
> try(system("convert tmp/3yl2j1321379071.ps tmp/3yl2j1321379071.png",intern=TRUE))
character(0)
> try(system("convert tmp/4fz0t1321379071.ps tmp/4fz0t1321379071.png",intern=TRUE))
character(0)
> try(system("convert tmp/5p1xc1321379071.ps tmp/5p1xc1321379071.png",intern=TRUE))
character(0)
> try(system("convert tmp/6z0c61321379071.ps tmp/6z0c61321379071.png",intern=TRUE))
character(0)
> try(system("convert tmp/7omwp1321379071.ps tmp/7omwp1321379071.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.510   0.280   2.757