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(3.81,3.95,3.99,4,4.06,4.16,4.19,4.2,4.2,4.2,4.2,4.2,4.23,4.38,4.43,4.44,4.44,4.44,4.44,4.44,4.45,4.45,4.45,4.45,4.45,4.45,4.45,4.45,4.46,4.46,4.46,4.48,4.58,4.67,4.68,4.68,4.69,4.69,4.69,4.69,4.69,4.69,4.69,4.73,4.78,4.79,4.79,4.8,4.8,4.81,5.16,5.26,5.29,5.29,5.29,5.3,5.3,5.3,5.3,5.3,5.3,5.3,5.3,5.35,5.44,5.47,5.47,5.48,5.48,5.48,5.48,5.48)
> 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] 72
> (np <- floor(n / par1))
[1] 6
> 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] 6 6 6 6 6 6 6 6 6 6 6 6
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] 3.81 4.23 4.45 4.69 4.80 5.30   NA
 [2,] 3.95 4.38 4.45 4.69 4.81 5.30   NA
 [3,] 3.99 4.43 4.45 4.69 5.16 5.30   NA
 [4,] 4.00 4.44 4.45 4.69 5.26 5.35   NA
 [5,] 4.06 4.44 4.46 4.69 5.29 5.44   NA
 [6,] 4.16 4.44 4.46 4.69 5.29 5.47   NA
 [7,] 4.19 4.44 4.46 4.69 5.29 5.47   NA
 [8,] 4.20 4.44 4.48 4.73 5.30 5.48   NA
 [9,] 4.20 4.45 4.58 4.78 5.30 5.48   NA
[10,] 4.20 4.45 4.67 4.79 5.30 5.48   NA
[11,] 4.20 4.45 4.68 4.79 5.30 5.48   NA
[12,] 4.20 4.45 4.68 4.80 5.30 5.48   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] 0.14 0.15 0.00 0.00 0.01 0.00   NA
 [2,] 0.04 0.05 0.00 0.00 0.35 0.00   NA
 [3,] 0.01 0.01 0.00 0.00 0.10 0.05   NA
 [4,] 0.06 0.00 0.01 0.00 0.03 0.09   NA
 [5,] 0.10 0.00 0.00 0.00 0.00 0.03   NA
 [6,] 0.03 0.00 0.00 0.00 0.00 0.00   NA
 [7,] 0.01 0.00 0.02 0.04 0.01 0.01   NA
 [8,] 0.00 0.01 0.10 0.05 0.00 0.00   NA
 [9,] 0.00 0.00 0.09 0.01 0.00 0.00   NA
[10,] 0.00 0.00 0.01 0.00 0.00 0.00   NA
[11,] 0.00 0.00 0.00 0.01 0.00 0.00   NA
[12,] 0.03 0.00 0.01 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/html/rcomp/tmp/1rofv1259766252.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/2lec61259766252.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/3b6u81259766252.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/4uc651259766252.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,] 3.81 3.95 3.99 4.00 4.060 4.160 4.190 4.200 4.20  4.20 4.200  4.20
[2,] 4.23 4.38 4.43 4.44 4.440 4.440 4.440 4.440 4.45  4.45 4.450  4.45
[3,] 4.57 4.57 4.57 4.57 4.575 4.575 4.575 4.605 4.68  4.73 4.735  4.74
[4,] 4.80 4.81 5.16 5.26 5.290 5.290 5.290 5.300 5.30  5.30 5.300  5.30
[5,] 5.30 5.30 5.30 5.35 5.440 5.470 5.470 5.480 5.48  5.48 5.480  5.48

$n
 [1] 6 6 6 6 6 6 6 6 6 6 6 6

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 4.202332 4.292636 4.099126 4.041074 4.026723 4.026723 4.026723 4.050272
[2,] 4.937668 4.847364 5.040874 5.098926 5.123277 5.123277 5.123277 5.159728
         [,9]    [,10]    [,11]    [,12]
[1,] 4.131723 4.181723 4.186723 4.191723
[2,] 5.228277 5.278277 5.283277 5.288277

$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(3.81, 4.23, 4.57, 4.8, 5.3, 3.95, 4.38, 4.57,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5m4af1259766252.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,] 0.000 0.00 0.00 0.00 0.00    0 0.00 0.000 0.00     0     0  0.00
[2,] 0.000 0.00 0.00 0.00 0.00    0 0.01 0.000 0.00     0     0  0.00
[3,] 0.005 0.02 0.01 0.02 0.00    0 0.01 0.005 0.00     0     0  0.00
[4,] 0.140 0.05 0.05 0.06 0.03    0 0.02 0.050 0.01     0     0  0.01
[5,] 0.150 0.05 0.10 0.09 0.03    0 0.02 0.100 0.01     0     0  0.01

$n
 [1] 6 6 6 6 6 6 6 6 6 6 6 5

$conf
            [,1]        [,2]        [,3]        [,4]        [,5] [,6]
[1,] -0.08530452 -0.01225161 -0.02225161 -0.01870194 -0.01935097    0
[2,]  0.09530452  0.05225161  0.04225161  0.05870194  0.01935097    0
            [,7]        [,8]         [,9] [,10] [,11]        [,12]
[1,] 0.003549677 -0.02725161 -0.006450323     0     0 -0.007065975
[2,] 0.016450323  0.03725161  0.006450323     0     0  0.007065975

$out
[1] 0.35 0.10 0.03 0.04 0.09 0.01 0.01 0.03

$group
[1]  2  5  6  7  9 10 11 12

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

Warning message:
In bxp(list(stats = c(0, 0, 0.00499999999999989, 0.14, 0.149999999999999,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6qrhm1259766252.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] [,7]
[1,] 3.810 4.430 4.450 4.690 5.16 5.300   NA
[2,] 3.995 4.435 4.450 4.690 5.21 5.325   NA
[3,] 4.175 4.440 4.460 4.690 5.29 5.470   NA
[4,] 4.200 4.450 4.625 4.785 5.30 5.480   NA
[5,] 4.200 4.450 4.680 4.800 5.30 5.480   NA

$n
[1] 12 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]    [,4]    [,5]     [,6] [,7]
[1,] 4.081498 4.433158 4.380181 4.64667 5.24895 5.399303   NA
[2,] 4.268502 4.446842 4.539819 4.73333 5.33105 5.540697   NA

$out
[1] 4.23 4.38 4.80 4.81

$group
[1] 2 2 5 5

$names
[1] "1" "2" "3" "4" "5" "6" NA 

Warning message:
In bxp(list(stats = c(3.81, 3.995, 4.175, 4.2, 4.2, 4.43, 4.435,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7lqxi1259766252.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,] 4.546667 4.570 4.738750
[2,] 4.684167 4.570 4.759375
[3,] 4.754167 4.575 4.792500
[4,] 4.806667 4.705 4.832500
[5,] 4.818333 4.740 4.841250

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 4.698294 4.513426 4.759147
[2,] 4.810040 4.636574 4.825853

$out
[1] 4.52875 4.58875

$group
[1] 3 3

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

Warning message:
In bxp(list(stats = c(4.54666666666667, 4.68416666666667, 4.75416666666667,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1rofv1259766252.ps tmp/1rofv1259766252.png")
> system("convert tmp/2lec61259766252.ps tmp/2lec61259766252.png")
> system("convert tmp/3b6u81259766252.ps tmp/3b6u81259766252.png")
> system("convert tmp/4uc651259766252.ps tmp/4uc651259766252.png")
> system("convert tmp/5m4af1259766252.ps tmp/5m4af1259766252.png")
> system("convert tmp/6qrhm1259766252.ps tmp/6qrhm1259766252.png")
> system("convert tmp/7lqxi1259766252.ps tmp/7lqxi1259766252.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.167   0.922   1.635