R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(0.440,0.548,0.163,0.381,0.164,0.109,0.328,0.435,0.325,0.108,0.054,0.270,0.431,0.215,0.214,0.160,0.427,0.372,0.106,0.053,0.317,0.527,0.472,0.000,0.052,0.418,0.364,0.311,0.052,0.052,0.620,0.616,1.377,0.151,0.502,0.000,0.606,0.050,0.150,0.501,0.299,0.248,0.545,0.444,0.491,0.444,0.050,0.545,0.138,0.423,0.495,0.370,0.388,0.169,0.241,0.014,0.376,0.331,0.789,0.289,0.359,0.236,0.367,0.309,0.551,0.901,0.870,0.160,0.032,0.877,1.812,0.784,0.270,0.462,0.146,0.108,0.132,0.680,0.117,0.345,0.204,0.227,0.236,0.092,0.138,0.046,0.023,0.009,0.142,0.207,0.346,0.207,0.165,0.247,0.123,0.433)
> 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] 96
> (np <- floor(n / par1))
[1] 8
> 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] 8 8 8 8 8 8 8 8 8 8 8 8
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8] [,9]
 [1,] 0.440 0.431 0.052 0.606 0.138 0.359 0.270 0.138   NA
 [2,] 0.548 0.215 0.418 0.050 0.423 0.236 0.462 0.046   NA
 [3,] 0.163 0.214 0.364 0.150 0.495 0.367 0.146 0.023   NA
 [4,] 0.381 0.160 0.311 0.501 0.370 0.309 0.108 0.009   NA
 [5,] 0.164 0.427 0.052 0.299 0.388 0.551 0.132 0.142   NA
 [6,] 0.109 0.372 0.052 0.248 0.169 0.901 0.680 0.207   NA
 [7,] 0.328 0.106 0.620 0.545 0.241 0.870 0.117 0.346   NA
 [8,] 0.435 0.053 0.616 0.444 0.014 0.160 0.345 0.207   NA
 [9,] 0.325 0.317 1.377 0.491 0.376 0.032 0.204 0.165   NA
[10,] 0.108 0.527 0.151 0.444 0.331 0.877 0.227 0.247   NA
[11,] 0.054 0.472 0.502 0.050 0.789 1.812 0.236 0.123   NA
[12,] 0.270 0.000 0.000 0.545 0.289 0.784 0.092 0.433   NA
> darr
        [,1]   [,2]   [,3]   [,4]   [,5]   [,6]   [,7]   [,8] [,9]
 [1,]  0.108 -0.216  0.366 -0.556  0.285 -0.123  0.192 -0.092   NA
 [2,] -0.385 -0.001 -0.054  0.100  0.072  0.131 -0.316 -0.023   NA
 [3,]  0.218 -0.054 -0.053  0.351 -0.125 -0.058 -0.038 -0.014   NA
 [4,] -0.217  0.267 -0.259 -0.202  0.018  0.242  0.024  0.133   NA
 [5,] -0.055 -0.055  0.000 -0.051 -0.219  0.350  0.548  0.065   NA
 [6,]  0.219 -0.266  0.568  0.297  0.072 -0.031 -0.563  0.139   NA
 [7,]  0.107 -0.053 -0.004 -0.101 -0.227 -0.710  0.228 -0.139   NA
 [8,] -0.110  0.264  0.761  0.047  0.362 -0.128 -0.141 -0.042   NA
 [9,] -0.217  0.210 -1.226 -0.047 -0.045  0.845  0.023  0.082   NA
[10,] -0.054 -0.055  0.351 -0.394  0.458  0.935  0.009 -0.124   NA
[11,]  0.216 -0.472 -0.502  0.495 -0.500 -1.028 -0.144  0.310   NA
[12,]  0.161  0.052  0.606 -0.407  0.070 -0.514  0.046     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/yougetitorg/rcomp/tmp/1fhkb1305822961.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/yougetitorg/rcomp/tmp/2fri41305822961.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/yougetitorg/rcomp/tmp/3qugx1305822961.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/yougetitorg/rcomp/tmp/4gsdk1305822961.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]
[1,] 0.0520 0.0460 0.0230 0.0090 0.0520 0.0520 0.1060 0.0140 0.0320 0.1080
[2,] 0.1380 0.1325 0.1480 0.1340 0.1370 0.1390 0.1790 0.1065 0.1845 0.1890
[3,] 0.3145 0.3270 0.1885 0.3100 0.2315 0.2275 0.3370 0.2760 0.3210 0.2890
[4,] 0.4355 0.4425 0.3655 0.3755 0.4075 0.5260 0.5825 0.4395 0.4335 0.4855
[5,] 0.6060 0.5480 0.4950 0.5010 0.5510 0.9010 0.8700 0.6160 0.4910 0.8770
      [,11]  [,12]
[1,] 0.0500 0.0000
[2,] 0.0885 0.0460
[3,] 0.3540 0.2795
[4,] 0.6455 0.4890
[5,] 0.7890 0.7840

$n
 [1] 8 8 8 8 8 8 8 8 8 8 8 8

$conf
          [,1]      [,2]       [,3]      [,4]       [,5]       [,6]      [,7]
[1,] 0.1483122 0.1538295 0.06700138 0.1750946 0.08039482 0.01131624 0.1115991
[2,] 0.4806878 0.5001705 0.30999862 0.4449054 0.38260518 0.44368376 0.5624009
           [,8]      [,9]     [,10]     [,11]      [,12]
[1,] 0.08998142 0.1819050 0.1233708 0.0428518 0.03203384
[2,] 0.46201858 0.4600950 0.4546292 0.6651482 0.52696616

$out
[1] 1.377 1.812

$group
[1]  9 11

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

Warning message:
In bxp(list(stats = c(0.052, 0.138, 0.3145, 0.4355, 0.606, 0.046,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/yougetitorg/rcomp/tmp/5vys91305822961.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]
[1,] -0.5560 -0.385 -0.1250 -0.2590 -0.2190 -0.5630 -0.2270 -0.1410 -0.217
[2,] -0.1695 -0.185 -0.0560 -0.2095 -0.0550 -0.1485 -0.1830 -0.1190 -0.132
[3,]  0.0080 -0.012 -0.0455  0.0210 -0.0255  0.1055 -0.0770  0.0025 -0.011
[4,]  0.2385  0.086  0.1020  0.1875  0.2075  0.2580  0.0515  0.3130  0.146
[5,]  0.3660  0.131  0.2180  0.2670  0.5480  0.5680  0.2280  0.7610  0.210
       [,10]  [,11]   [,12]
[1,] -0.3940 -1.028 -0.5140
[2,] -0.0895 -0.501 -0.1805
[3,] -0.0225 -0.308  0.0520
[4,]  0.4045  0.263  0.1155
[5,]  0.9350  0.495  0.1610

$n
 [1] 8 8 8 8 8 8 8 8 8 8 8 7

$conf
           [,1]       [,2]        [,3]       [,4]       [,5]       [,6]
[1,] -0.2199147 -0.1633845 -0.13376107 -0.2007699 -0.1721363 -0.1215767
[2,]  0.2359147  0.1393845  0.04276107  0.2427699  0.1211363  0.3325767
            [,7]       [,8]       [,9]      [,10]      [,11]      [,12]
[1,] -0.20799507 -0.2388214 -0.1662948 -0.2984555 -0.7347814 -0.1247664
[2,]  0.05399507  0.2438214  0.1442948  0.2534555  0.1187814  0.2287664

$out
[1]  0.351 -0.710 -1.226  0.845  0.606

$group
[1]  3  7  9  9 12

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

Warning message:
In bxp(list(stats = c(-0.556, -0.1695, 0.00800000000000001, 0.2385,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/yougetitorg/rcomp/tmp/6930p1305822961.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]   [,7]   [,8] [,9]
[1,] 0.0540 0.000 0.0000 0.050 0.0140 0.0320 0.0920 0.0090   NA
[2,] 0.1360 0.133 0.0520 0.199 0.2050 0.2725 0.1245 0.0845   NA
[3,] 0.2975 0.266 0.3375 0.444 0.3505 0.4590 0.2155 0.1535   NA
[4,] 0.4080 0.429 0.5590 0.523 0.4055 0.8735 0.3075 0.2270   NA
[5,] 0.5480 0.527 0.6200 0.606 0.4950 0.9010 0.4620 0.4330   NA

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

$conf
          [,1]      [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
[1,] 0.1734390 0.1309924 0.1062539 0.2962214 0.2590506 0.1848799 0.1320325
[2,] 0.4215610 0.4010076 0.5687461 0.5917786 0.4419494 0.7331201 0.2989675
          [,8] [,9]
[1,] 0.0885048   NA
[2,] 0.2184952   NA

$out
[1] 1.377 0.789 1.812 0.680

$group
[1] 3 5 6 7

$names
[1] "1" "2" "3" "4" "5" "6" "7" "8" NA 

Warning message:
In bxp(list(stats = c(0.054, 0.136, 0.2975, 0.408, 0.548, 0, 0.133,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/yougetitorg/rcomp/tmp/7c0si1305822961.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,] 0.2402500 0.18850 0.2568750
[2,] 0.2768125 0.25375 0.2668125
[3,] 0.3029375 0.29950 0.2925625
[4,] 0.3803125 0.32400 0.3198125
[5,] 0.5047500 0.35400 0.3868750

$n
[1] 12 12 12

$conf
          [,1]      [,2]      [,3]
[1,] 0.2557305 0.2674585 0.2683888
[2,] 0.3501445 0.3315415 0.3167362

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(0.24025, 0.2768125, 0.3029375, 0.3803125,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1fhkb1305822961.ps tmp/1fhkb1305822961.png",intern=TRUE))
character(0)
> try(system("convert tmp/2fri41305822961.ps tmp/2fri41305822961.png",intern=TRUE))
character(0)
> try(system("convert tmp/3qugx1305822961.ps tmp/3qugx1305822961.png",intern=TRUE))
character(0)
> try(system("convert tmp/4gsdk1305822961.ps tmp/4gsdk1305822961.png",intern=TRUE))
character(0)
> try(system("convert tmp/5vys91305822961.ps tmp/5vys91305822961.png",intern=TRUE))
character(0)
> try(system("convert tmp/6930p1305822961.ps tmp/6930p1305822961.png",intern=TRUE))
character(0)
> try(system("convert tmp/7c0si1305822961.ps tmp/7c0si1305822961.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.510   1.210   2.155