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(2.64,2.75,2.7,2.87,3.03,3.14,3.02,2.86,3.07,2.93,2.83,2.72,2.73,2.72,2.77,2.61,2.47,2.3,2.38,2.43,2.39,2.6,2.84,2.87,2.92,3.08,3.33,3.48,3.57,3.66,3.77,3.75,3.75,3.81,3.82,3.89,4.05,4.1,4.07,4.26,4.4,4.61,4.63,4.48,4.46,4.45,4.32,4.52,4.21,3.97,4.12,4.5,4.73,5.26,5.2,4.94,4.95,4.52,3.85,3.41,2.95,2.68,2.53,2.44,2.16,2.2,2.1,2.29,2.03,2.05,1.94)
> 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] 71
> (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] 6 6 6 6 6 6 6 6 6 6 6 5
> arr
      [,1] [,2] [,3] [,4] [,5] [,6]
 [1,] 2.64 2.73 2.92 4.05 4.21 2.95
 [2,] 2.75 2.72 3.08 4.10 3.97 2.68
 [3,] 2.70 2.77 3.33 4.07 4.12 2.53
 [4,] 2.87 2.61 3.48 4.26 4.50 2.44
 [5,] 3.03 2.47 3.57 4.40 4.73 2.16
 [6,] 3.14 2.30 3.66 4.61 5.26 2.20
 [7,] 3.02 2.38 3.77 4.63 5.20 2.10
 [8,] 2.86 2.43 3.75 4.48 4.94 2.29
 [9,] 3.07 2.39 3.75 4.46 4.95 2.03
[10,] 2.93 2.60 3.81 4.45 4.52 2.05
[11,] 2.83 2.84 3.82 4.32 3.85 1.94
[12,] 2.72 2.87 3.89 4.52 3.41   NA
> darr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]
 [1,]  0.11 -0.01  0.16  0.05 -0.24 -0.27
 [2,] -0.05  0.05  0.25 -0.03  0.15 -0.15
 [3,]  0.17 -0.16  0.15  0.19  0.38 -0.09
 [4,]  0.16 -0.14  0.09  0.14  0.23 -0.28
 [5,]  0.11 -0.17  0.09  0.21  0.53  0.04
 [6,] -0.12  0.08  0.11  0.02 -0.06 -0.10
 [7,] -0.16  0.05 -0.02 -0.15 -0.26  0.19
 [8,]  0.21 -0.04  0.00 -0.02  0.01 -0.26
 [9,] -0.14  0.21  0.06 -0.01 -0.43  0.02
[10,] -0.10  0.24  0.01 -0.13 -0.67 -0.11
[11,] -0.11  0.03  0.07  0.20 -0.44    NA
[12,]  0.01  0.05  0.16 -0.31 -0.46    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/1uzgu1260625244.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/2glji1260625244.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/3cbmu1260625244.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/4wu5s1260625244.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,] 2.640 2.680 2.53 2.440 2.16 2.20 2.100 2.290 2.03  2.05  1.94  2.72
[2,] 2.730 2.720 2.70 2.610 2.47 2.30 2.380 2.430 2.39  2.60  2.83  2.87
[3,] 2.935 2.915 3.05 3.175 3.30 3.40 3.395 3.305 3.41  3.37  3.33  3.41
[4,] 4.050 3.970 4.07 4.260 4.40 4.61 4.630 4.480 4.46  4.45  3.85  3.89
[5,] 4.210 4.100 4.12 4.500 4.73 5.26 5.200 4.940 4.95  4.52  4.32  4.52

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 2.083557 2.108710 2.166306 2.110697 2.055088 1.909975 1.943677 1.982684
[2,] 3.786443 3.721290 3.933694 4.239303 4.544912 4.890025 4.846323 4.627316
         [,9]    [,10]    [,11]    [,12]
[1,] 2.074783 2.176690 2.672067 2.689271
[2,] 4.745217 4.563310 3.987933 4.130729

$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(2.64, 2.73, 2.935, 4.05, 4.21, 2.68, 2.72,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5basn1260625244.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]
[1,] -0.27 -0.15 -0.16 -0.280 -0.17 -0.12 -0.260 -0.04 -0.430 -0.130 -0.11
[2,] -0.24 -0.05 -0.09 -0.140  0.04 -0.10 -0.160 -0.04 -0.140 -0.130 -0.11
[3,]  0.02  0.01  0.16  0.115  0.10 -0.02 -0.085 -0.01  0.005 -0.105  0.03
[4,]  0.11  0.15  0.19  0.160  0.21  0.08  0.050  0.01  0.060  0.010  0.07
[5,]  0.16  0.25  0.38  0.230  0.21  0.11  0.190  0.01  0.210  0.010  0.20
     [,12]
[1,] -0.46
[2,] -0.31
[3,]  0.01
[4,]  0.05
[5,]  0.16

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

$conf
           [,1]       [,2]        [,3]        [,4]        [,5]        [,6]
[1,] -0.2057613 -0.1190065 -0.02060904 -0.07850969 -0.00965549 -0.13610581
[2,]  0.2457613  0.1390065  0.34060904  0.30850969  0.20965549  0.09610581
            [,7]        [,8]       [,9]       [,10]       [,11]      [,12]
[1,] -0.22045678 -0.04225161 -0.1240065 -0.19530452 -0.09718755 -0.2443751
[2,]  0.05045678  0.02225161  0.1340065 -0.01469548  0.15718755  0.2643751

$out
[1]  0.53  0.21 -0.26  0.24 -0.67 -0.44

$group
[1]  5  8  8 10 10 11

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

Warning message:
In bxp(list(stats = c(-0.27, -0.24, 0.02, 0.110000000000000, 0.16,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/63nw81260625244.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]
[1,] 2.640 2.300 2.920 4.050 3.410 1.940
[2,] 2.735 2.410 3.405 4.180 4.045 2.075
[3,] 2.865 2.605 3.705 4.425 4.510 2.200
[4,] 3.025 2.750 3.790 4.500 4.945 2.485
[5,] 3.140 2.870 3.890 4.630 5.260 2.950

$n
[1] 12 12 12 12 12 11

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]
[1,] 2.732729 2.449924 3.529399 4.279046 4.099504 2.004681
[2,] 2.997271 2.760076 3.880601 4.570954 4.920496 2.395319

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(2.64, 2.735, 2.865, 3.025, 3.14, 2.3, 2.41,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7u85r1260625244.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,] 3.216667 2.9150 3.237500
[2,] 3.260000 3.1125 3.319375
[3,] 3.393333 3.3175 3.390625
[4,] 3.470167 3.3975 3.431250
[5,] 3.528333 3.4100 3.486250

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 3.297475 3.187510 3.339598
[2,] 3.489192 3.447490 3.441652

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(3.21666666666667, 3.26, 3.39333333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1uzgu1260625244.ps tmp/1uzgu1260625244.png")
> system("convert tmp/2glji1260625244.ps tmp/2glji1260625244.png")
> system("convert tmp/3cbmu1260625244.ps tmp/3cbmu1260625244.png")
> system("convert tmp/4wu5s1260625244.ps tmp/4wu5s1260625244.png")
> system("convert tmp/5basn1260625244.ps tmp/5basn1260625244.png")
> system("convert tmp/63nw81260625244.ps tmp/63nw81260625244.png")
> system("convert tmp/7u85r1260625244.ps tmp/7u85r1260625244.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.185   0.932   1.505