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(93.2
+ ,96
+ ,95.2
+ ,77.1
+ ,70.9
+ ,64.8
+ ,70.1
+ ,77.3
+ ,79.5
+ ,100.6
+ ,100.7
+ ,107.1
+ ,95.9
+ ,82.8
+ ,83.3
+ ,80
+ ,80.4
+ ,67.5
+ ,75.7
+ ,71.1
+ ,89.3
+ ,101.1
+ ,105.2
+ ,114.1
+ ,96.3
+ ,84.4
+ ,91.2
+ ,81.9
+ ,80.5
+ ,70.4
+ ,74.8
+ ,75.9
+ ,86.3
+ ,98.7
+ ,100.9
+ ,113.8
+ ,89.8
+ ,84.4
+ ,87.2
+ ,85.6
+ ,72
+ ,69.2
+ ,77.5
+ ,78.1
+ ,94.3
+ ,97.7
+ ,100.2
+ ,116.4
+ ,97.1
+ ,93
+ ,96
+ ,80.5
+ ,76.1
+ ,69.9
+ ,73.6
+ ,92.6
+ ,94.2
+ ,93.5
+ ,108.5
+ ,109.4
+ ,105.1
+ ,92.5
+ ,97.1
+ ,81.4
+ ,79.1
+ ,72.1
+ ,78.7
+ ,87.1
+ ,91.4
+ ,109.9
+ ,116.3
+ ,113
+ ,100
+ ,84.8
+ ,94.3
+ ,87.1
+ ,90.3
+ ,72.4
+ ,84.9
+ ,92.7
+ ,92.2
+ ,114.9
+ ,112.5
+ ,118.3
+ ,106
+ ,91.2
+ ,96.6
+ ,96.3
+ ,88.2
+ ,70.2
+ ,86.5
+ ,88.2
+ ,102.8
+ ,119.1
+ ,119.2
+ ,125.1
+ ,106.1
+ ,102.1
+ ,105.2
+ ,101
+ ,84.3
+ ,87.5
+ ,92.7
+ ,94.4
+ ,113
+ ,113.9
+ ,122.9
+ ,132.7
+ ,106.9
+ ,96.6
+ ,127.3
+ ,98.2
+ ,100.2
+ ,89.4
+ ,95.3
+ ,104.2
+ ,106.4
+ ,116.2
+ ,135.9
+ ,134
+ ,104.6
+ ,107.1
+ ,123.5
+ ,98.8
+ ,98.6
+ ,90.6
+ ,89.1
+ ,105.2
+ ,114
+ ,122.1
+ ,138
+ ,142.2
+ ,116.4
+ ,112.6
+ ,123.8
+ ,103.6
+ ,113.9
+ ,98.6
+ ,95
+ ,116
+ ,113.9
+ ,127.5
+ ,131.4
+ ,145.9
+ ,131.5
+ ,131
+ ,130.5
+ ,118.9
+ ,114.3
+ ,85.7
+ ,104.6
+ ,105.1
+ ,117.3
+ ,142.5
+ ,140
+ ,159.8
+ ,131.2
+ ,125.4
+ ,126.5
+ ,119.4
+ ,113.5
+ ,98.7
+ ,114.5
+ ,113.8
+ ,133.1
+ ,143.4
+ ,137.3
+ ,165.2
+ ,126.9
+ ,124
+ ,135.7
+ ,130
+ ,109.4
+ ,117.8
+ ,120.3
+ ,121
+ ,132.3
+ ,142.9
+ ,147.4
+ ,175.9
+ ,132.6
+ ,123.7
+ ,153.3
+ ,134
+ ,119.6
+ ,116.2
+ ,118.6
+ ,130.7
+ ,129.3
+ ,144.4
+ ,163.2
+ ,179.4
+ ,128.1
+ ,138.4
+ ,152.7
+ ,120
+ ,140.5
+ ,116.2
+ ,121.4
+ ,127.8
+ ,143.6
+ ,157.6
+ ,166.2
+ ,182.3
+ ,153.1
+ ,147.6
+ ,157.7
+ ,137.2
+ ,151.5
+ ,98.7
+ ,145.8
+ ,151.7
+ ,129.4
+ ,174.1
+ ,197
+ ,193.9
+ ,164.1
+ ,142.8
+ ,157.9
+ ,159.2
+ ,162.2
+ ,123.1
+ ,130
+ ,150.1
+ ,169.4
+ ,179.7
+ ,182.1
+ ,194.3
+ ,161.4
+ ,169.4
+ ,168.8
+ ,158.1
+ ,158.5
+ ,135.3
+ ,149.3
+ ,143.4
+ ,142.2
+ ,188.4
+ ,166.2
+ ,199.2
+ ,182.7
+ ,145.2
+ ,182.1
+ ,158.7
+ ,141.6
+ ,132.6
+ ,139.6
+ ,147
+ ,166.6
+ ,157
+ ,180.4
+ ,210.2
+ ,159.8
+ ,157.8
+ ,168.2
+ ,158.4
+ ,152
+ ,142.2
+ ,137.2
+ ,152.6
+ ,166.8
+ ,165.6
+ ,198.6
+ ,201.5
+ ,170.7
+ ,164.4
+ ,179.7
+ ,157
+ ,168
+ ,139.3
+ ,138.6
+ ,153.4
+ ,138.9
+ ,172.1
+ ,198.4
+ ,217.8
+ ,173.7
+ ,153.8
+ ,175.6
+ ,147.1
+ ,160.3
+ ,135.2
+ ,148.8
+ ,151
+ ,148.2
+ ,182.2
+ ,189.2
+ ,183.1
+ ,170
+ ,158.4
+ ,176.1
+ ,156.2
+ ,153.2
+ ,117.9
+ ,149.8
+ ,156.6
+ ,166.7
+ ,156.8
+ ,158.6
+ ,210.8
+ ,203.6
+ ,175.2
+ ,168.7
+ ,155.9
+ ,147.3
+ ,137
+ ,141.1
+ ,167.4
+ ,160.2
+ ,191.9
+ ,174.4
+ ,208.2
+ ,159.4
+ ,161.1
+ ,172.1
+ ,158.4
+ ,114.6
+ ,159.6
+ ,159.7
+ ,159.4
+ ,160.7
+ ,165.5
+ ,205
+ ,205.2
+ ,141.6
+ ,148.1
+ ,184.9
+ ,132.5
+ ,137.3
+ ,135.5
+ ,121.7
+ ,166.1
+ ,146.8
+ ,162.8
+ ,186.8
+ ,185.5
+ ,151.5
+ ,158.1
+ ,143
+ ,151.2
+ ,147.6
+ ,130.7
+ ,137.5
+ ,146.1
+ ,133.6
+ ,167.9
+ ,181.9
+ ,202
+ ,166.5
+ ,151.3
+ ,146.2
+ ,148.3
+ ,144.7
+ ,123.6
+ ,151.6
+ ,133.9
+ ,137.4
+ ,181.6
+ ,182
+ ,190
+ ,161.2
+ ,155.5
+ ,141.9
+ ,164.6
+ ,136.2
+ ,126.8
+ ,152.5
+ ,126.6
+ ,150.1
+ ,186.3
+ ,147.5
+ ,200.4
+ ,177.2
+ ,127.4
+ ,177.1
+ ,154.4
+ ,135.2
+ ,126.4
+ ,147.3
+ ,140.6
+ ,152.3
+ ,151.2
+ ,172.2
+ ,215.3
+ ,154.1
+ ,159.3
+ ,160.4
+ ,151.9
+ ,148.4
+ ,139.6
+ ,148.2
+ ,153.5
+ ,145.1
+ ,183.7
+ ,210.5
+ ,203.3
+ ,153.3
+ ,144.3
+ ,169.6
+ ,143.7
+ ,160.1
+ ,135.6
+ ,141.8
+ ,159.9
+ ,145.7
+ ,183.5
+ ,198.2
+ ,186.8
+ ,172
+ ,150.6
+ ,163.3
+ ,153.7
+ ,152.9
+ ,135.5
+ ,148.5
+ ,148.4
+ ,133.6
+ ,194.1
+ ,208.6
+ ,197.3
+ ,164.4
+ ,148.1
+ ,152
+ ,144.1
+ ,155
+ ,124.5
+ ,153
+ ,146
+ ,138
+ ,190
+ ,192
+ ,192
+ ,147
+ ,133
+ ,163
+ ,150
+ ,129
+ ,131
+ ,145
+ ,137
+ ,138
+ ,168
+ ,176
+ ,188
+ ,139
+ ,143
+ ,150
+ ,154
+ ,137
+ ,129
+ ,128
+ ,140
+ ,143
+ ,151
+ ,177
+ ,184)
> par1 = '37'
> #'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] 456
> (np <- floor(n / par1))
[1] 12
> 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] 13 13 13 13 13 13 13 13 13 13 13 13 12 12 12 12 12 12 12 12 12 12 12 12 12
[26] 12 12 12 12 12 12 12 12 12 12 12 12
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8]  [,9] [,10] [,11] [,12]
 [1,]  93.2  84.4  94.3  98.2 114.3 116.2 130.0 152.6 166.7 162.8 147.5 186.8
 [2,]  96.0  87.2  87.1 100.2  85.7 118.6 150.1 166.8 156.8 186.8 200.4 172.0
 [3,]  95.2  85.6  90.3  89.4 104.6 130.7 169.4 165.6 158.6 185.5 177.2 150.6
 [4,]  77.1  72.0  72.4  95.3 105.1 129.3 179.7 198.6 210.8 151.5 127.4 163.3
 [5,]  70.9  69.2  84.9 104.2 117.3 144.4 182.1 201.5 203.6 158.1 177.1 153.7
 [6,]  64.8  77.5  92.7 106.4 142.5 163.2 194.3 170.7 175.2 143.0 154.4 152.9
 [7,]  70.1  78.1  92.2 116.2 140.0 179.4 161.4 164.4 168.7 151.2 135.2 135.5
 [8,]  77.3  94.3 114.9 135.9 159.8 128.1 169.4 179.7 155.9 147.6 126.4 148.5
 [9,]  79.5  97.7 112.5 134.0 131.2 138.4 168.8 157.0 147.3 130.7 147.3 148.4
[10,] 100.6 100.2 118.3 104.6 125.4 152.7 158.1 168.0 137.0 137.5 140.6 133.6
[11,] 100.7 116.4 106.0 107.1 126.5 120.0 158.5 139.3 141.1 146.1 152.3 194.1
[12,] 107.1  97.1  91.2 123.5 119.4 140.5 135.3 138.6 167.4 133.6 151.2 208.6
[13,]  95.9  93.0  96.6  98.8 113.5 116.2 149.3 153.4 160.2 167.9 172.2 197.3
[14,]  82.8  96.0  96.3  98.6  98.7 121.4 143.4 138.9 191.9 181.9 215.3 164.4
[15,]  83.3  80.5  88.2  90.6 114.5 127.8 142.2 172.1 174.4 202.0 154.1 148.1
[16,]  80.0  76.1  70.2  89.1 113.8 143.6 188.4 198.4 208.2 166.5 159.3 152.0
[17,]  80.4  69.9  86.5 105.2 133.1 157.6 166.2 217.8 159.4 151.3 160.4 144.1
[18,]  67.5  73.6  88.2 114.0 143.4 166.2 199.2 173.7 161.1 146.2 151.9 155.0
[19,]  75.7  92.6 102.8 122.1 137.3 182.3 182.7 153.8 172.1 148.3 148.4 124.5
[20,]  71.1  94.2 119.1 138.0 165.2 153.1 145.2 175.6 158.4 144.7 139.6 153.0
[21,]  89.3  93.5 119.2 142.2 126.9 147.6 182.1 147.1 114.6 123.6 148.2 146.0
[22,] 101.1 108.5 125.1 116.4 124.0 157.7 158.7 160.3 159.6 151.6 153.5 138.0
[23,] 105.2 109.4 106.1 112.6 135.7 137.2 141.6 135.2 159.7 133.9 145.1 190.0
[24,] 114.1 105.1 102.1 123.8 130.0 151.5 132.6 148.8 159.4 137.4 183.7 192.0
[25,]  96.3  92.5 105.2 103.6 109.4  98.7 139.6 151.0 160.7 181.6 210.5 192.0
[26,]  84.4  97.1 101.0 113.9 117.8 145.8 147.0 148.2 165.5 182.0 203.3 147.0
[27,]  91.2  81.4  84.3  98.6 120.3 151.7 166.6 182.2 205.0 190.0 153.3 133.0
[28,]  81.9  79.1  87.5  95.0 121.0 129.4 157.0 189.2 205.2 161.2 144.3 163.0
[29,]  80.5  72.1  92.7 116.0 132.3 174.1 180.4 183.1 141.6 155.5 169.6 150.0
[30,]  70.4  78.7  94.4 113.9 142.9 197.0 210.2 170.0 148.1 141.9 143.7 129.0
[31,]  74.8  87.1 113.0 127.5 147.4 193.9 159.8 158.4 184.9 164.6 160.1 131.0
[32,]  75.9  91.4 113.9 131.4 175.9 164.1 157.8 176.1 132.5 136.2 135.6 145.0
[33,]  86.3 109.9 122.9 145.9 132.6 142.8 168.2 156.2 137.3 126.8 141.8 137.0
[34,]  98.7 116.3 132.7 131.5 123.7 157.9 158.4 153.2 135.5 152.5 159.9 138.0
[35,] 100.9 113.0 106.9 131.0 153.3 159.2 152.0 117.9 121.7 126.6 145.7 168.0
[36,] 113.8 100.0  96.6 130.5 134.0 162.2 142.2 149.8 166.1 150.1 183.5 176.0
[37,]  89.8  84.8 127.3 118.9 119.6 123.1 137.2 156.6 146.8 186.3 198.2 188.0
      [,13]
 [1,]   139
 [2,]   143
 [3,]   150
 [4,]   154
 [5,]   137
 [6,]   129
 [7,]   128
 [8,]   140
 [9,]   143
[10,]   151
[11,]   177
[12,]   184
[13,]    NA
[14,]    NA
[15,]    NA
[16,]    NA
[17,]    NA
[18,]    NA
[19,]    NA
[20,]    NA
[21,]    NA
[22,]    NA
[23,]    NA
[24,]    NA
[25,]    NA
[26,]    NA
[27,]    NA
[28,]    NA
[29,]    NA
[30,]    NA
[31,]    NA
[32,]    NA
[33,]    NA
[34,]    NA
[35,]    NA
[36,]    NA
[37,]    NA
> darr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8]  [,9] [,10] [,11] [,12]
 [1,]   2.8   2.8  -7.2   2.0 -28.6   2.4  20.1  14.2  -9.9  24.0  52.9 -14.8
 [2,]  -0.8  -1.6   3.2 -10.8  18.9  12.1  19.3  -1.2   1.8  -1.3 -23.2 -21.4
 [3,] -18.1 -13.6 -17.9   5.9   0.5  -1.4  10.3  33.0  52.2 -34.0 -49.8  12.7
 [4,]  -6.2  -2.8  12.5   8.9  12.2  15.1   2.4   2.9  -7.2   6.6  49.7  -9.6
 [5,]  -6.1   8.3   7.8   2.2  25.2  18.8  12.2 -30.8 -28.4 -15.1 -22.7  -0.8
 [6,]   5.3   0.6  -0.5   9.8  -2.5  16.2 -32.9  -6.3  -6.5   8.2 -19.2 -17.4
 [7,]   7.2  16.2  22.7  19.7  19.8 -51.3   8.0  15.3 -12.8  -3.6  -8.8  13.0
 [8,]   2.2   3.4  -2.4  -1.9 -28.6  10.3  -0.6 -22.7  -8.6 -16.9  20.9  -0.1
 [9,]  21.1   2.5   5.8 -29.4  -5.8  14.3 -10.7  11.0 -10.3   6.8  -6.7 -14.8
[10,]   0.1  16.2 -12.3   2.5   1.1 -32.7   0.4 -28.7   4.1   8.6  11.7  60.5
[11,]   6.4 -19.3 -14.8  16.4  -7.1  20.5 -23.2  -0.7  26.3 -12.5  -1.1  14.5
[12,] -11.2  -4.1   5.4 -24.7  -5.9 -24.3  14.0  14.8  -7.2  34.3  21.0 -11.3
[13,] -13.1   3.0  -0.3  -0.2 -14.8   5.2  -5.9 -14.5  31.7  14.0  43.1 -32.9
[14,]   0.5 -15.5  -8.1  -8.0  15.8   6.4  -1.2  33.2 -17.5  20.1 -61.2 -16.3
[15,]  -3.3  -4.4 -18.0  -1.5  -0.7  15.8  46.2  26.3  33.8 -35.5   5.2   3.9
[16,]   0.4  -6.2  16.3  16.1  19.3  14.0 -22.2  19.4 -48.8 -15.2   1.1  -7.9
[17,] -12.9   3.7   1.7   8.8  10.3   8.6  33.0 -44.1   1.7  -5.1  -8.5  10.9
[18,]   8.2  19.0  14.6   8.1  -6.1  16.1 -16.5 -19.9  11.0   2.1  -3.5 -30.5
[19,]  -4.6   1.6  16.3  15.9  27.9 -29.2 -37.5  21.8 -13.7  -3.6  -8.8  28.5
[20,]  18.2  -0.7   0.1   4.2 -38.3  -5.5  36.9 -28.5 -43.8 -21.1   8.6  -7.0
[21,]  11.8  15.0   5.9 -25.8  -2.9  10.1 -23.4  13.2  45.0  28.0   5.3  -8.0
[22,]   4.1   0.9 -19.0  -3.8  11.7 -20.5 -17.1 -25.1   0.1 -17.7  -8.4  52.0
[23,]   8.9  -4.3  -4.0  11.2  -5.7  14.3  -9.0  13.6  -0.3   3.5  38.6   2.0
[24,] -17.8 -12.6   3.1 -20.2 -20.6 -52.8   7.0   2.2   1.3  44.2  26.8   0.0
[25,] -11.9   4.6  -4.2  10.3   8.4  47.1   7.4  -2.8   4.8   0.4  -7.2 -45.0
[26,]   6.8 -15.7 -16.7 -15.3   2.5   5.9  19.6  34.0  39.5   8.0 -50.0 -14.0
[27,]  -9.3  -2.3   3.2  -3.6   0.7 -22.3  -9.6   7.0   0.2 -28.8  -9.0  30.0
[28,]  -1.4  -7.0   5.2  21.0  11.3  44.7  23.4  -6.1 -63.6  -5.7  25.3 -13.0
[29,] -10.1   6.6   1.7  -2.1  10.6  22.9  29.8 -13.1   6.5 -13.6 -25.9 -21.0
[30,]   4.4   8.4  18.6  13.6   4.5  -3.1 -50.4 -11.6  36.8  22.7  16.4   2.0
[31,]   1.1   4.3   0.9   3.9  28.5 -29.8  -2.0  17.7 -52.4 -28.4 -24.5  14.0
[32,]  10.4  18.5   9.0  14.5 -43.3 -21.3  10.4 -19.9   4.8  -9.4   6.2  -8.0
[33,]  12.4   6.4   9.8 -14.4  -8.9  15.1  -9.8  -3.0  -1.8  25.7  18.1   1.0
[34,]   2.2  -3.3 -25.8  -0.5  29.6   1.3  -6.4 -35.3 -13.8 -25.9 -14.2  30.0
[35,]  12.9 -13.0 -10.3  -0.5 -19.3   3.0  -9.8  31.9  44.4  23.5  37.8   8.0
[36,] -24.0 -15.2  30.7 -11.6 -14.4 -39.1  -5.0   6.8 -19.3  36.2  14.7  12.0
[37,]  -5.4   9.5 -29.1  -4.6  -3.4   6.9  15.4  10.1  16.0 -38.8 -11.4 -49.0
      [,13]
 [1,]     4
 [2,]     7
 [3,]     4
 [4,]   -17
 [5,]    -8
 [6,]    -1
 [7,]    12
 [8,]     3
 [9,]     8
[10,]    26
[11,]     7
[12,]    NA
[13,]    NA
[14,]    NA
[15,]    NA
[16,]    NA
[17,]    NA
[18,]    NA
[19,]    NA
[20,]    NA
[21,]    NA
[22,]    NA
[23,]    NA
[24,]    NA
[25,]    NA
[26,]    NA
[27,]    NA
[28,]    NA
[29,]    NA
[30,]    NA
[31,]    NA
[32,]    NA
[33,]    NA
[34,]    NA
[35,]    NA
[36,]    NA
[37,]    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/13zix1272298206.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/rcomp/tmp/2w9hi1272298206.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/rcomp/tmp/3w9hi1272298206.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/rcomp/tmp/4w9hi1272298206.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,]  84.4  85.7  85.6  72.0  69.2  64.8  70.1  94.3 112.5 100.2 100.7  91.2
[2,]  98.2  96.0  95.2  95.3 104.2 106.4 116.2 126.4 130.7 118.3 116.4 119.4
[3,] 130.0 143.0 150.0 129.3 144.4 143.0 135.5 140.0 138.4 137.0 139.3 135.3
[4,] 152.6 166.8 165.6 163.3 177.1 163.2 161.4 155.9 147.3 151.0 152.3 151.2
[5,] 186.8 200.4 185.5 210.8 203.6 194.3 179.4 179.7 168.8 168.0 194.1 184.0
      [,13]  [,14] [,15]  [,16]  [,17]  [,18]  [,19]  [,20]  [,21] [,22]  [,23]
[1,]  93.00  82.80  80.5  70.20  69.90  67.50  75.70  94.20  89.30 101.1 105.20
[2,]  97.70  97.45  89.4  84.55  95.85 101.10 112.45 128.55 116.90 120.2 111.00
[3,] 132.75 130.15 135.0 147.80 147.70 149.05 142.80 144.95 134.55 144.8 135.45
[4,] 164.05 173.15 163.1 177.45 159.90 163.65 162.95 155.75 147.35 158.2 143.35
[5,] 197.30 215.30 202.0 208.20 217.80 199.20 182.70 175.60 182.10 160.3 190.00
      [,24]  [,25]  [,26]  [,27]  [,28]  [,29]  [,30]  [,31]  [,32]  [,33]
[1,] 102.10  92.50  84.40  81.40  79.10  72.10  70.40  74.80  75.90 109.90
[2,] 118.95 101.15 107.45  94.90  91.25 104.35 104.15 120.25 122.65 124.85
[3,] 135.00 124.50 146.40 142.35 136.85 145.80 142.40 152.90 135.90 137.15
[4,] 155.45 171.15 156.85 174.40 162.10 171.85 159.05 162.35 160.95 144.35
[5,] 192.00 210.50 203.30 205.00 205.20 183.10 210.20 193.90 176.10 168.20
      [,34]  [,35]  [,36]  [,37]
[1,]  98.70 100.90  96.60  84.80
[2,] 127.60 115.45 122.15 119.25
[3,] 136.75 128.80 146.00 132.25
[4,] 155.55 152.65 164.15 171.45
[5,] 159.90 168.00 183.50 198.20

$n
 [1] 13 13 13 13 13 13 13 13 13 13 13 13 12 12 12 12 12 12 12 12 12 12 12 12 12
[26] 12 12 12 12 12 12 12 12 12 12 12 12

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 106.1612 111.9745 119.1498  99.5015 112.4543 118.1095 115.6928 127.0727
[2,] 153.8388 174.0255 180.8502 159.0985 176.3457 167.8905 155.3072 152.9273
         [,9]    [,10]    [,11]    [,12]    [,13]     [,14]    [,15]    [,16]
[1,] 131.1257 122.6704 123.5681 121.3648 102.4873  95.62272 101.3849 105.4277
[2,] 145.6743 151.3296 155.0319 149.2352 163.0127 164.67728 168.6151 190.1723
        [,17]    [,18]    [,19]    [,20]    [,21]    [,22]    [,23]    [,24]
[1,] 118.4864 120.5205 119.7666 132.5439 120.6616 127.4679 120.6949 118.3521
[2,] 176.9136 177.5795 165.8334 157.3561 148.4384 162.1321 150.2051 151.6479
         [,25]    [,26]    [,27]    [,28]    [,29]    [,30]    [,31]    [,32]
[1,]  92.57253 123.8683 106.0895 104.5348 115.0128 117.3597 133.6979 118.4311
[2,] 156.42747 168.9317 178.6105 169.1652 176.5872 167.4403 172.1021 153.3689
        [,33]    [,34]    [,35]    [,36]    [,37]
[1,] 128.2559 124.0018 111.8328 126.8435 108.4412
[2,] 146.0441 149.4982 145.7672 165.1565 156.0588

$out
[1]  77.3  79.5  97.7 208.6  71.1  86.3

$group
[1]  8  9  9 12 20 33

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12" "13" "14" "15"
[16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
[31] "31" "32" "33" "34" "35" "36" "37"

Warning message:
In bxp(list(stats = c(84.4, 98.2, 130, 152.6, 186.8, 85.7, 96, 143,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/560z31272298206.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,] -28.6 -10.8 -49.8 -17.0 -30.8 -19.2 -12.8 -22.7 -29.4 -12.3 -23.2 -24.70
[2,]  -7.2  -1.6 -17.9  -6.2 -15.1  -6.5  -3.6  -8.6 -10.3   0.1 -12.5 -11.25
[3,]   2.8  -0.8   0.5   2.9  -0.8  -1.0  12.0  -0.6   2.5   2.5  -0.7  -5.00
[4,]  14.2   7.0  10.3  12.2   8.3   5.3  16.2   3.0   8.0  11.7  14.5  14.40
[5,]  24.0  19.3  52.2  15.1  25.2  16.2  22.7  10.3  21.1  26.0  26.3  34.30
      [,13] [,14]  [,15]  [,16]  [,17] [,18]  [,19] [,20]  [,21]  [,22] [,23]
[1,] -32.90 -17.5 -35.50 -48.80 -12.90 -30.5 -37.50 -43.8 -25.80 -25.10 -9.00
[2,] -13.80 -15.9  -3.85 -11.55  -6.80 -11.3 -11.25 -24.8  -5.45 -18.35 -4.15
[3,]  -0.25  -4.6   1.60   0.75   2.70   5.1  -1.00  -3.1   8.00  -6.10  2.75
[4,]   9.60  11.1  21.05  16.20   9.55  12.8  19.05   6.4  14.10   2.50 12.40
[5,]  43.10  33.2  46.20  19.40  33.00  19.0  28.50  36.9  28.00  11.70 14.30
      [,24] [,25] [,26]  [,27]  [,28]  [,29]  [,30]  [,31]  [,32]  [,33]  [,34]
[1,] -52.80 -11.9 -50.0 -22.30 -13.00 -25.90 -11.60 -52.40 -43.30 -14.40 -35.30
[2,] -19.00  -5.7 -15.5  -9.45  -6.55 -13.35  -0.55 -26.45 -14.65  -5.95 -20.00
[3,]   0.65   2.5   4.2  -2.95   1.90  -0.20   6.45   1.00   5.50   3.70  -4.85
[4,]   5.05   7.9  13.8   1.95  22.20   8.60  17.50   9.15  10.40  13.75   1.75
[5,]  26.80  10.3  39.5   7.00  44.70  29.80  36.80  28.50  18.50  25.70  30.00
      [,35]  [,36]  [,37]
[1,] -19.30 -39.10 -49.00
[2,] -10.05 -17.25 -20.25
[3,]   5.50  -8.30  -4.00
[4,]  27.70  13.35   9.80
[5,]  44.40  36.20  16.00

$n
 [1] 13 13 13 13 13 13 13 13 13 13 13 12 12 12 12 12 12 12 12 12 12 12 12 12 12
[26] 12 12 12 12 12 12 12 12 12 12 12 12

$conf
          [,1]      [,2]      [,3]      [,4]       [,5]      [,6]      [,7]
[1,] -6.577762 -4.568633 -11.85761 -5.163122 -11.054188 -6.170915  3.323380
[2,] 12.177762  2.968633  12.85761 10.963122   9.454188  4.170915 20.676620
          [,8]      [,9]     [,10]     [,11]      [,12]     [,13]      [,14]
[1,] -5.683273 -5.519301 -2.583273 -12.53176 -16.699137 -10.92290 -16.914881
[2,]  4.483273 10.519301  7.583273  11.13176   6.699137  10.42290   7.714881
         [,15]     [,16]     [,17]     [,18]     [,19]     [,20]      [,21]
[1,] -9.757057 -11.90696 -4.757345 -5.892172 -14.82003 -17.33053 -0.9168862
[2,] 12.957057  13.40696 10.157345 16.092172  12.82003  11.13053 16.9168862
          [,22]     [,23]     [,24]     [,25]     [,26]     [,27]     [,28]
[1,] -15.609825 -4.798566 -10.31937 -3.703051 -9.163927 -8.149617 -11.21307
[2,]   3.409825 10.298566  11.61937  8.703051 17.563927  2.249617  15.01307
          [,29]     [,30]    [,31]     [,32]     [,33]      [,34]     [,35]
[1,] -10.211542 -1.782726 -15.2374 -5.925473 -5.285302 -14.770321 -11.71803
[2,]   9.811542 14.682726  17.2374 16.925473 12.685302   5.070321  22.71803
          [,36]      [,37]
[1,] -22.256865 -17.706007
[2,]   5.656865   9.706007

$out
 [1]  52.9 -23.2 -21.4  49.7 -32.9 -51.3 -28.6  20.9 -32.7 -28.7  60.5 -61.2
[13] -44.1  45.0  52.0  38.6  44.2  47.1 -45.0 -28.8  30.0 -63.6 -50.4

$group
 [1]  1  2  2  4  6  7  8  8 10 10 10 14 17 21 22 23 24 25 25 27 27 28 30

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12" "13" "14" "15"
[16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
[31] "31" "32" "33" "34" "35" "36" "37"

Warning message:
In bxp(list(stats = c(-28.6, -7.2, 2.800, 14.2000000000000, 24,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/660z31272298206.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]  [,8]  [,9] [,10] [,11] [,12]
[1,]  64.8  69.2  70.2  89.1  98.7  98.7 130.0 117.9 114.6 123.6 126.4 124.5
[2,]  77.1  79.1  90.3 100.2 117.3 129.3 145.2 151.0 147.3 141.9 145.1 144.1
[3,]  84.4  92.5  96.6 113.9 126.5 145.8 158.5 160.3 159.7 151.3 153.3 152.0
[4,]  96.3  97.7 113.0 127.5 137.3 159.2 169.4 175.6 172.1 166.5 172.2 172.0
[5,] 114.1 116.4 132.7 145.9 165.2 197.0 199.2 201.5 208.2 202.0 210.5 208.6
     [,13]
[1,] 128.0
[2,] 138.0
[3,] 143.0
[4,] 152.5
[5,] 154.0

$n
 [1] 37 37 37 37 37 37 37 37 37 37 37 37 12

$conf
        [,1]     [,2]      [,3]     [,4]    [,5]     [,6]     [,7]     [,8]
[1,] 79.4128 87.66864  90.70367 106.8088 121.305 138.0335 152.2140 153.9101
[2,] 89.3872 97.33136 102.49633 120.9912 131.695 153.5665 164.7860 166.6899
         [,9]    [,10]    [,11]    [,12]    [,13]
[1,] 153.2582 144.9101 146.2608 144.7530 136.3865
[2,] 166.1418 157.6899 160.3392 159.2470 149.6135

$out
[1]  85.7 175.9 210.2 217.8 210.8 215.3 177.0 184.0

$group
[1]  5  5  7  8  9 11 13 13

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

Warning message:
In bxp(list(stats = c(64.8, 77.1, 84.4, 96.3, 114.1, 69.2, 79.1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7z9yo1272298206.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,] 129.6923 124.5 124.300
[2,] 134.3083 135.0 131.300
[3,] 136.6667 138.4 134.650
[4,] 137.8750 144.8 140.025
[5,] 142.0667 152.9 144.750

$n
[1] 37 37 37

$conf
         [,1]     [,2]     [,3]
[1,] 135.7402 135.8544 132.3837
[2,] 137.5931 140.9456 136.9163

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> try(system("convert tmp/13zix1272298206.ps tmp/13zix1272298206.png",intern=TRUE))
character(0)
> try(system("convert tmp/2w9hi1272298206.ps tmp/2w9hi1272298206.png",intern=TRUE))
character(0)
> try(system("convert tmp/3w9hi1272298206.ps tmp/3w9hi1272298206.png",intern=TRUE))
character(0)
> try(system("convert tmp/4w9hi1272298206.ps tmp/4w9hi1272298206.png",intern=TRUE))
character(0)
> try(system("convert tmp/560z31272298206.ps tmp/560z31272298206.png",intern=TRUE))
character(0)
> try(system("convert tmp/660z31272298206.ps tmp/660z31272298206.png",intern=TRUE))
character(0)
> try(system("convert tmp/7z9yo1272298206.ps tmp/7z9yo1272298206.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.870   1.510   2.693