R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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Type 'q()' to quit R.

> x <- c(255
+ ,280.2
+ ,299.9255
+ ,280.2
+ ,299.9
+ ,339.2
+ ,374.2
+ ,393.5
+ ,389.2
+ ,381.7
+ ,375.2
+ ,369
+ ,357.4
+ ,352.1
+ ,346.5
+ ,342.9
+ ,340.3
+ ,328.3
+ ,322.9
+ ,314.3
+ ,308.9
+ ,294
+ ,285.6
+ ,281.2
+ ,280.3
+ ,278.8
+ ,274.5
+ ,270.4
+ ,263.4
+ ,259.9
+ ,258
+ ,262.7
+ ,284.7
+ ,311.3
+ ,322.1
+ ,327
+ ,331.3
+ ,333.3
+ ,321.4
+ ,327
+ ,320
+ ,314.7
+ ,316.7
+ ,314.4
+ ,321.3
+ ,318.2
+ ,307.2
+ ,301.3
+ ,287.5
+ ,277.7
+ ,274.4
+ ,258.8
+ ,253.3
+ ,251
+ ,248.4
+ ,249.5
+ ,246.1
+ ,244.5
+ ,243.6
+ ,244
+ ,240.8
+ ,249.8
+ ,248
+ ,259.4
+ ,260.5
+ ,260.8
+ ,261.3
+ ,259.5
+ ,256.6
+ ,257.9
+ ,256.5
+ ,254.2
+ ,253.3
+ ,253.8
+ ,255.5
+ ,257.1
+ ,257.3
+ ,253.2
+ ,252.8
+ ,252
+ ,250.7
+ ,252.2
+ ,250
+ ,251
+ ,253.4
+ ,251.2
+ ,255.6
+ ,261.1
+ ,258.9
+ ,259.9
+ ,261.2
+ ,264.7
+ ,267.1
+ ,266.4
+ ,267.7
+ ,268.6
+ ,267.5
+ ,268.5
+ ,268.5
+ ,270.5
+ ,270.9
+ ,270.1
+ ,269.3
+ ,269.8
+ ,270.1
+ ,264.9
+ ,263.7
+ ,264.8
+ ,263.7
+ ,255.9
+ ,276.2
+ ,360.1
+ ,380.5
+ ,373.7
+ ,369.8
+ ,366.6
+ ,359.3
+ ,345.8
+ ,326.2
+ ,324.5
+ ,328.1
+ ,327.5
+ ,324.4
+ ,316.5
+ ,310.9
+ ,301.5
+ ,291.7
+ ,290.4
+ ,287.4
+ ,277.7
+ ,281.6
+ ,288
+ ,276
+ ,272.9
+ ,283
+ ,283.3
+ ,276.8
+ ,284.5
+ ,282.7
+ ,281.2
+ ,287.4
+ ,283.1
+ ,284
+ ,285.5
+ ,289.2
+ ,292.5
+ ,296.4
+ ,305.2
+ ,303.9
+ ,311.5
+ ,316.3
+ ,316.7
+ ,322.5
+ ,317.1
+ ,309.8
+ ,303.8
+ ,290.3
+ ,293.7
+ ,291.7
+ ,296.5
+ ,289.1
+ ,288.5
+ ,293.8
+ ,297.7
+ ,305.4
+ ,302.7
+ ,302.5
+ ,303
+ ,294.5
+ ,294.1
+ ,294.5
+ ,297.1
+ ,289.4
+ ,292.4
+ ,287.9
+ ,286.6
+ ,280.5
+ ,272.4
+ ,269.2
+ ,270.6
+ ,267.3
+ ,262.5
+ ,266.8
+ ,268.8
+ ,263.1
+ ,261.2
+ ,266
+ ,262.5
+ ,265.2
+ ,261.3
+ ,253.7
+ ,249.2
+ ,239.1
+ ,236.4
+ ,235.2
+ ,245.2
+ ,246.2
+ ,247.7
+ ,251.4
+ ,253.3
+ ,254.8
+ ,250
+ ,249.3
+ ,241.5
+ ,243.3
+ ,248
+ ,253
+ ,252.9
+ ,251.5
+ ,251.6
+ ,253.5
+ ,259.8
+ ,334.1
+ ,448
+ ,445.8
+ ,445
+ ,448.2
+ ,438.2
+ ,439.8
+ ,423.4
+ ,410.8
+ ,408.4
+ ,406.7
+ ,405.9
+ ,402.7
+ ,405.1
+ ,399.6
+ ,386.5
+ ,381.4
+ ,375.2
+ ,357.7
+ ,359
+ ,355
+ ,352.7
+ ,344.4
+ ,343.8
+ ,338
+ ,339
+ ,333.3
+ ,334.4
+ ,328.3
+ ,330.7
+ ,330
+ ,331.6
+ ,351.2
+ ,389.4
+ ,410.9
+ ,442.8
+ ,462.8
+ ,466.9
+ ,461.7
+ ,439.2
+ ,430.3
+ ,416.1
+ ,402.5
+ ,397.3
+ ,403.3
+ ,395.9
+ ,387.8
+ ,378.6
+ ,377.1
+ ,370.4
+ ,362
+ ,350.3
+ ,348.2
+ ,344.6
+ ,343.5
+ ,342.8
+ ,347.6
+ ,346.6
+ ,349.5
+ ,342.1
+ ,342
+ ,342.8
+ ,339.3
+ ,348.2
+ ,333.7
+ ,334.7
+ ,354
+ ,367.7
+ ,363.3
+ ,358.4
+ ,353.1
+ ,343.1
+ ,344.6
+ ,344.4
+ ,333.9
+ ,331.7
+ ,324.3
+ ,321.2
+ ,322.4
+ ,321.7
+ ,320.5
+ ,312.8
+ ,309.7
+ ,315.6
+ ,309.7
+ ,304.6
+ ,302.5
+ ,301.5
+ ,298.8
+ ,291.3
+ ,293.6
+ ,294.6
+ ,285.9
+ ,297.6
+ ,301.1
+ ,293.8
+ ,297.7
+ ,292.9
+ ,292.1
+ ,287.2
+ ,288.2
+ ,283.8
+ ,299.9
+ ,292.4
+ ,293.3
+ ,300.8
+ ,293.7
+ ,293.1
+ ,294.4
+ ,292.1
+ ,291.9
+ ,282.5
+ ,277.9
+ ,287.5
+ ,289.2
+ ,285.6
+ ,293.2
+ ,290.8
+ ,283.1
+ ,275
+ ,287.8
+ ,287.8
+ ,287.4
+ ,284
+ ,277.8
+ ,277.6
+ ,304.9
+ ,294
+ ,300.9
+ ,324
+ ,332.9
+ ,341.6
+ ,333.4
+ ,348.2
+ ,344.7
+ ,344.7
+ ,329.3
+ ,323.5
+ ,323.2
+ ,317.4
+ ,330.1
+ ,329.2
+ ,334.9
+ ,315.8
+ ,315.4
+ ,319.6
+ ,317.3
+ ,313.8
+ ,315.8
+ ,311.3
+ ,339.2
+ ,374.2
+ ,393.5
+ ,389.2
+ ,381.7
+ ,375.2
+ ,369
+ ,357.4
+ ,352.1
+ ,346.5
+ ,342.9
+ ,340.3
+ ,328.3
+ ,322.9
+ ,314.3
+ ,308.9
+ ,294
+ ,285.6
+ ,281.2
+ ,280.3
+ ,278.8
+ ,274.5
+ ,270.4
+ ,263.4
+ ,259.9
+ ,258
+ ,262.7
+ ,284.7
+ ,311.3
+ ,322.1
+ ,327
+ ,331.3
+ ,333.3
+ ,321.4
+ ,327
+ ,320
+ ,314.7
+ ,316.7
+ ,314.4
+ ,321.3
+ ,318.2
+ ,307.2
+ ,301.3
+ ,287.5
+ ,277.7
+ ,274.4
+ ,258.8
+ ,253.3
+ ,251
+ ,248.4
+ ,249.5
+ ,246.1
+ ,244.5
+ ,243.6
+ ,244
+ ,240.8
+ ,249.8
+ ,248
+ ,259.4
+ ,260.5
+ ,260.8
+ ,261.3
+ ,259.5
+ ,256.6
+ ,257.9
+ ,256.5
+ ,254.2
+ ,253.3
+ ,253.8
+ ,255.5
+ ,257.1
+ ,257.3
+ ,253.2
+ ,252.8
+ ,252
+ ,250.7
+ ,252.2
+ ,250
+ ,251
+ ,253.4
+ ,251.2
+ ,255.6
+ ,261.1
+ ,258.9
+ ,259.9
+ ,261.2
+ ,264.7
+ ,267.1
+ ,266.4
+ ,267.7
+ ,268.6
+ ,267.5
+ ,268.5
+ ,268.5
+ ,270.5
+ ,270.9
+ ,270.1
+ ,269.3
+ ,269.8
+ ,270.1
+ ,264.9
+ ,263.7
+ ,264.8
+ ,263.7
+ ,255.9
+ ,276.2
+ ,360.1
+ ,380.5
+ ,373.7
+ ,369.8
+ ,366.6
+ ,359.3
+ ,345.8
+ ,326.2
+ ,324.5
+ ,328.1
+ ,327.5
+ ,324.4
+ ,316.5
+ ,310.9
+ ,301.5
+ ,291.7
+ ,290.4
+ ,287.4
+ ,277.7
+ ,281.6
+ ,288
+ ,276
+ ,272.9
+ ,283
+ ,283.3
+ ,276.8
+ ,284.5
+ ,282.7
+ ,281.2
+ ,287.4
+ ,283.1
+ ,284
+ ,285.5
+ ,289.2
+ ,292.5
+ ,296.4
+ ,305.2
+ ,303.9
+ ,311.5
+ ,316.3
+ ,316.7
+ ,322.5
+ ,317.1
+ ,309.8
+ ,303.8
+ ,290.3
+ ,293.7
+ ,291.7
+ ,296.5
+ ,289.1
+ ,288.5
+ ,293.8
+ ,297.7
+ ,305.4
+ ,302.7
+ ,302.5
+ ,303
+ ,294.5
+ ,294.1
+ ,294.5
+ ,297.1
+ ,289.4
+ ,292.4
+ ,287.9
+ ,286.6
+ ,280.5
+ ,272.4
+ ,269.2
+ ,270.6
+ ,267.3
+ ,262.5
+ ,266.8
+ ,268.8
+ ,263.1
+ ,261.2
+ ,266
+ ,262.5
+ ,265.2
+ ,261.3
+ ,253.7
+ ,249.2
+ ,239.1
+ ,236.4
+ ,235.2
+ ,245.2
+ ,246.2
+ ,247.7
+ ,251.4
+ ,253.3
+ ,254.8
+ ,250
+ ,249.3
+ ,241.5
+ ,243.3
+ ,248
+ ,253
+ ,252.9
+ ,251.5
+ ,251.6
+ ,253.5
+ ,259.8
+ ,334.1
+ ,448
+ ,445.8
+ ,445
+ ,448.2
+ ,438.2
+ ,439.8
+ ,423.4
+ ,410.8
+ ,408.4
+ ,406.7
+ ,405.9
+ ,402.7
+ ,405.1
+ ,399.6
+ ,386.5
+ ,381.4
+ ,375.2
+ ,357.7
+ ,359
+ ,355
+ ,352.7
+ ,344.4
+ ,343.8
+ ,338
+ ,339
+ ,333.3
+ ,334.4
+ ,328.3
+ ,330.7
+ ,330
+ ,331.6
+ ,351.2
+ ,389.4
+ ,410.9
+ ,442.8
+ ,462.8
+ ,466.9
+ ,461.7
+ ,439.2
+ ,430.3
+ ,416.1
+ ,402.5
+ ,397.3
+ ,403.3
+ ,395.9
+ ,387.8
+ ,378.6
+ ,377.1
+ ,370.4
+ ,362
+ ,350.3
+ ,348.2
+ ,344.6
+ ,343.5
+ ,342.8
+ ,347.6
+ ,346.6
+ ,349.5
+ ,342.1
+ ,342
+ ,342.8
+ ,339.3
+ ,348.2
+ ,333.7
+ ,334.7
+ ,354
+ ,367.7
+ ,363.3
+ ,358.4
+ ,353.1
+ ,343.1
+ ,344.6
+ ,344.4
+ ,333.9
+ ,331.7
+ ,324.3
+ ,321.2
+ ,322.4
+ ,321.7
+ ,320.5
+ ,312.8
+ ,309.7
+ ,315.6
+ ,309.7
+ ,304.6
+ ,302.5
+ ,301.5
+ ,298.8
+ ,291.3
+ ,293.6
+ ,294.6
+ ,285.9
+ ,297.6
+ ,301.1
+ ,293.8
+ ,297.7
+ ,292.9
+ ,292.1
+ ,287.2
+ ,288.2
+ ,283.8
+ ,299.9
+ ,292.4
+ ,293.3
+ ,300.8
+ ,293.7
+ ,293.1
+ ,294.4
+ ,292.1
+ ,291.9
+ ,282.5
+ ,277.9
+ ,287.5
+ ,289.2
+ ,285.6
+ ,293.2
+ ,290.8
+ ,283.1
+ ,275
+ ,287.8
+ ,287.8
+ ,287.4
+ ,284
+ ,277.8
+ ,277.6
+ ,304.9
+ ,294
+ ,300.9
+ ,324
+ ,332.9
+ ,341.6
+ ,333.4
+ ,348.2
+ ,344.7
+ ,344.7
+ ,329.3
+ ,323.5
+ ,323.2
+ ,317.4
+ ,330.1
+ ,329.2
+ ,334.9
+ ,315.8
+ ,315.4
+ ,319.6
+ ,317.3
+ ,313.8
+ ,315.8
+ ,311.3)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Mean Plot (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_meanplot.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 719
> (np <- floor(n / par1))
[1] 59
> 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] 60 60 60 60 60 60 60 60 60 60 60 59
> arr
          [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8]  [,9] [,10] [,11]
 [1,] 255.0000 357.4 280.3 331.3 287.5 240.8 253.3 253.4 267.5 263.7 328.1
 [2,] 280.2000 352.1 278.8 333.3 277.7 249.8 253.8 251.2 268.5 255.9 327.5
 [3,] 299.9255 346.5 274.5 321.4 274.4 248.0 255.5 255.6 268.5 276.2 324.4
 [4,] 280.2000 342.9 270.4 327.0 258.8 259.4 257.1 261.1 270.5 360.1 316.5
 [5,] 299.9000 340.3 263.4 320.0 253.3 260.5 257.3 258.9 270.9 380.5 310.9
 [6,] 339.2000 328.3 259.9 314.7 251.0 260.8 253.2 259.9 270.1 373.7 301.5
 [7,] 374.2000 322.9 258.0 316.7 248.4 261.3 252.8 261.2 269.3 369.8 291.7
 [8,] 393.5000 314.3 262.7 314.4 249.5 259.5 252.0 264.7 269.8 366.6 290.4
 [9,] 389.2000 308.9 284.7 321.3 246.1 256.6 250.7 267.1 270.1 359.3 287.4
[10,] 381.7000 294.0 311.3 318.2 244.5 257.9 252.2 266.4 264.9 345.8 277.7
[11,] 375.2000 285.6 322.1 307.2 243.6 256.5 250.0 267.7 263.7 326.2 281.6
[12,] 369.0000 281.2 327.0 301.3 244.0 254.2 251.0 268.6 264.8 324.5 288.0
      [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23]
 [1,] 276.0 289.2 290.3 294.5 267.3 239.1 243.3 448.2 381.4 328.3 430.3 348.2
 [2,] 272.9 292.5 293.7 294.1 262.5 236.4 248.0 438.2 375.2 330.7 416.1 344.6
 [3,] 283.0 296.4 291.7 294.5 266.8 235.2 253.0 439.8 357.7 330.0 402.5 343.5
 [4,] 283.3 305.2 296.5 297.1 268.8 245.2 252.9 423.4 359.0 331.6 397.3 342.8
 [5,] 276.8 303.9 289.1 289.4 263.1 246.2 251.5 410.8 355.0 351.2 403.3 347.6
 [6,] 284.5 311.5 288.5 292.4 261.2 247.7 251.6 408.4 352.7 389.4 395.9 346.6
 [7,] 282.7 316.3 293.8 287.9 266.0 251.4 253.5 406.7 344.4 410.9 387.8 349.5
 [8,] 281.2 316.7 297.7 286.6 262.5 253.3 259.8 405.9 343.8 442.8 378.6 342.1
 [9,] 287.4 322.5 305.4 280.5 265.2 254.8 334.1 402.7 338.0 462.8 377.1 342.0
[10,] 283.1 317.1 302.7 272.4 261.3 250.0 448.0 405.1 339.0 466.9 370.4 342.8
[11,] 284.0 309.8 302.5 269.2 253.7 249.3 445.8 399.6 333.3 461.7 362.0 339.3
[12,] 285.5 303.8 303.0 270.6 249.2 241.5 445.0 386.5 334.4 439.2 350.3 348.2
      [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35]
 [1,] 333.7 324.3 298.8 288.2 277.9 277.8 329.3 315.8 342.9 270.4 327.0 258.8
 [2,] 334.7 321.2 291.3 283.8 287.5 277.6 323.5 311.3 340.3 263.4 320.0 253.3
 [3,] 354.0 322.4 293.6 299.9 289.2 304.9 323.2 339.2 328.3 259.9 314.7 251.0
 [4,] 367.7 321.7 294.6 292.4 285.6 294.0 317.4 374.2 322.9 258.0 316.7 248.4
 [5,] 363.3 320.5 285.9 293.3 293.2 300.9 330.1 393.5 314.3 262.7 314.4 249.5
 [6,] 358.4 312.8 297.6 300.8 290.8 324.0 329.2 389.2 308.9 284.7 321.3 246.1
 [7,] 353.1 309.7 301.1 293.7 283.1 332.9 334.9 381.7 294.0 311.3 318.2 244.5
 [8,] 343.1 315.6 293.8 293.1 275.0 341.6 315.8 375.2 285.6 322.1 307.2 243.6
 [9,] 344.6 309.7 297.7 294.4 287.8 333.4 315.4 369.0 281.2 327.0 301.3 244.0
[10,] 344.4 304.6 292.9 292.1 287.8 348.2 319.6 357.4 280.3 331.3 287.5 240.8
[11,] 333.9 302.5 292.1 291.9 287.4 344.7 317.3 352.1 278.8 333.3 277.7 249.8
[12,] 331.7 301.5 287.2 282.5 284.0 344.7 313.8 346.5 274.5 321.4 274.4 248.0
      [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47]
 [1,] 259.4 257.1 261.1 270.5 360.1 316.5 283.3 305.2 296.5 297.1 268.8 245.2
 [2,] 260.5 257.3 258.9 270.9 380.5 310.9 276.8 303.9 289.1 289.4 263.1 246.2
 [3,] 260.8 253.2 259.9 270.1 373.7 301.5 284.5 311.5 288.5 292.4 261.2 247.7
 [4,] 261.3 252.8 261.2 269.3 369.8 291.7 282.7 316.3 293.8 287.9 266.0 251.4
 [5,] 259.5 252.0 264.7 269.8 366.6 290.4 281.2 316.7 297.7 286.6 262.5 253.3
 [6,] 256.6 250.7 267.1 270.1 359.3 287.4 287.4 322.5 305.4 280.5 265.2 254.8
 [7,] 257.9 252.2 266.4 264.9 345.8 277.7 283.1 317.1 302.7 272.4 261.3 250.0
 [8,] 256.5 250.0 267.7 263.7 326.2 281.6 284.0 309.8 302.5 269.2 253.7 249.3
 [9,] 254.2 251.0 268.6 264.8 324.5 288.0 285.5 303.8 303.0 270.6 249.2 241.5
[10,] 253.3 253.4 267.5 263.7 328.1 276.0 289.2 290.3 294.5 267.3 239.1 243.3
[11,] 253.8 251.2 268.5 255.9 327.5 272.9 292.5 293.7 294.1 262.5 236.4 248.0
[12,] 255.5 255.6 268.5 276.2 324.4 283.0 296.4 291.7 294.5 266.8 235.2 253.0
      [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59]
 [1,] 252.9 423.4 359.0 331.6 397.3 342.8 367.7 321.7 294.6 292.4 285.6 294.0
 [2,] 251.5 410.8 355.0 351.2 403.3 347.6 363.3 320.5 285.9 293.3 293.2 300.9
 [3,] 251.6 408.4 352.7 389.4 395.9 346.6 358.4 312.8 297.6 300.8 290.8 324.0
 [4,] 253.5 406.7 344.4 410.9 387.8 349.5 353.1 309.7 301.1 293.7 283.1 332.9
 [5,] 259.8 405.9 343.8 442.8 378.6 342.1 343.1 315.6 293.8 293.1 275.0 341.6
 [6,] 334.1 402.7 338.0 462.8 377.1 342.0 344.6 309.7 297.7 294.4 287.8 333.4
 [7,] 448.0 405.1 339.0 466.9 370.4 342.8 344.4 304.6 292.9 292.1 287.8 348.2
 [8,] 445.8 399.6 333.3 461.7 362.0 339.3 333.9 302.5 292.1 291.9 287.4 344.7
 [9,] 445.0 386.5 334.4 439.2 350.3 348.2 331.7 301.5 287.2 282.5 284.0 344.7
[10,] 448.2 381.4 328.3 430.3 348.2 333.7 324.3 298.8 288.2 277.9 277.8 329.3
[11,] 438.2 375.2 330.7 416.1 344.6 334.7 321.2 291.3 283.8 287.5 277.6 323.5
[12,] 439.8 357.7 330.0 402.5 343.5 354.0 322.4 293.6 299.9 289.2 304.9 323.2
      [,60]
 [1,] 317.4
 [2,] 330.1
 [3,] 329.2
 [4,] 334.9
 [5,] 315.8
 [6,] 315.4
 [7,] 319.6
 [8,] 317.3
 [9,] 313.8
[10,] 315.8
[11,] 311.3
[12,]    NA
> darr
          [,1]  [,2] [,3]  [,4]  [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
 [1,]  25.2000  -5.3 -1.5   2.0  -9.8  9.0  0.5 -2.2  1.0  -7.8  -0.6  -3.1
 [2,]  19.7255  -5.6 -4.3 -11.9  -3.3 -1.8  1.7  4.4  0.0  20.3  -3.1  10.1
 [3,] -19.7255  -3.6 -4.1   5.6 -15.6 11.4  1.6  5.5  2.0  83.9  -7.9   0.3
 [4,]  19.7000  -2.6 -7.0  -7.0  -5.5  1.1  0.2 -2.2  0.4  20.4  -5.6  -6.5
 [5,]  39.3000 -12.0 -3.5  -5.3  -2.3  0.3 -4.1  1.0 -0.8  -6.8  -9.4   7.7
 [6,]  35.0000  -5.4 -1.9   2.0  -2.6  0.5 -0.4  1.3 -0.8  -3.9  -9.8  -1.8
 [7,]  19.3000  -8.6  4.7  -2.3   1.1 -1.8 -0.8  3.5  0.5  -3.2  -1.3  -1.5
 [8,]  -4.3000  -5.4 22.0   6.9  -3.4 -2.9 -1.3  2.4  0.3  -7.3  -3.0   6.2
 [9,]  -7.5000 -14.9 26.6  -3.1  -1.6  1.3  1.5 -0.7 -5.2 -13.5  -9.7  -4.3
[10,]  -6.5000  -8.4 10.8 -11.0  -0.9 -1.4 -2.2  1.3 -1.2 -19.6   3.9   0.9
[11,]  -6.2000  -4.4  4.9  -5.9   0.4 -2.3  1.0  0.9  1.1  -1.7   6.4   1.5
[12,] -11.6000  -0.9  4.3 -13.8  -3.2 -0.9  2.4 -1.1 -1.1   3.6 -12.0   3.7
      [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24]
 [1,]   3.3   3.4  -0.4  -4.8  -2.7   4.7 -10.0  -6.2   2.4 -14.2  -3.6   1.0
 [2,]   3.9  -2.0   0.4   4.3  -1.2   5.0   1.6 -17.5  -0.7 -13.6  -1.1  19.3
 [3,]   8.8   4.8   2.6   2.0  10.0  -0.1 -16.4   1.3   1.6  -5.2  -0.7  13.7
 [4,]  -1.3  -7.4  -7.7  -5.7   1.0  -1.4 -12.6  -4.0  19.6   6.0   4.8  -4.4
 [5,]   7.6  -0.6   3.0  -1.9   1.5   0.1  -2.4  -2.3  38.2  -7.4  -1.0  -4.9
 [6,]   4.8   5.3  -4.5   4.8   3.7   1.9  -1.7  -8.3  21.5  -8.1   2.9  -5.3
 [7,]   0.4   3.9  -1.3  -3.5   1.9   6.3  -0.8  -0.6  31.9  -9.2  -7.4 -10.0
 [8,]   5.8   7.7  -6.1   2.7   1.5  74.3  -3.2  -5.8  20.0  -1.5  -0.1   1.5
 [9,]  -5.4  -2.7  -8.1  -3.9  -4.8 113.9   2.4   1.0   4.1  -6.7   0.8  -0.2
[10,]  -7.3  -0.2  -3.2  -7.6  -0.7  -2.2  -5.5  -5.7  -5.2  -8.4  -3.5 -10.5
[11,]  -6.0   0.5   1.4  -4.5  -7.8  -0.8 -13.1   1.1 -22.5 -11.7   8.9  -2.2
[12,] -13.5  -8.5  -3.3 -10.1   1.8   3.2  -5.1  -6.1  -8.9  -2.1 -14.5  -7.4
      [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36]
 [1,]  -3.1  -7.5  -4.4   9.6  -0.2  -5.8  -4.5  -2.6  -7.0  -7.0  -5.5   1.1
 [2,]   1.2   2.3  16.1   1.7  27.3  -0.3  27.9 -12.0  -3.5  -5.3  -2.3   0.3
 [3,]  -0.7   1.0  -7.5  -3.6 -10.9  -5.8  35.0  -5.4  -1.9   2.0  -2.6   0.5
 [4,]  -1.2  -8.7   0.9   7.6   6.9  12.7  19.3  -8.6   4.7  -2.3   1.1  -1.8
 [5,]  -7.7  11.7   7.5  -2.4  23.1  -0.9  -4.3  -5.4  22.0   6.9  -3.4  -2.9
 [6,]  -3.1   3.5  -7.1  -7.7   8.9   5.7  -7.5 -14.9  26.6  -3.1  -1.6   1.3
 [7,]   5.9  -7.3  -0.6  -8.1   8.7 -19.1  -6.5  -8.4  10.8 -11.0  -0.9  -1.4
 [8,]  -5.9   3.9   1.3  12.8  -8.2  -0.4  -6.2  -4.4   4.9  -5.9   0.4  -2.3
 [9,]  -5.1  -4.8  -2.3   0.0  14.8   4.2 -11.6  -0.9   4.3 -13.8  -3.2  -0.9
[10,]  -2.1  -0.8  -0.2  -0.4  -3.5  -2.3  -5.3  -1.5   2.0  -9.8   9.0   0.5
[11,]  -1.0  -4.9  -9.4  -3.4   0.0  -3.5  -5.6  -4.3 -11.9  -3.3  -1.8   1.7
[12,]  -2.7   1.0  -4.6  -6.2 -15.4   2.0  -3.6  -4.1   5.6 -15.6  11.4   1.6
      [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48]
 [1,]   0.2  -2.2   0.4  20.4  -5.6  -6.5  -1.3  -7.4  -7.7  -5.7   1.0  -1.4
 [2,]  -4.1   1.0  -0.8  -6.8  -9.4   7.7   7.6  -0.6   3.0  -1.9   1.5   0.1
 [3,]  -0.4   1.3  -0.8  -3.9  -9.8  -1.8   4.8   5.3  -4.5   4.8   3.7   1.9
 [4,]  -0.8   3.5   0.5  -3.2  -1.3  -1.5   0.4   3.9  -1.3  -3.5   1.9   6.3
 [5,]  -1.3   2.4   0.3  -7.3  -3.0   6.2   5.8   7.7  -6.1   2.7   1.5  74.3
 [6,]   1.5  -0.7  -5.2 -13.5  -9.7  -4.3  -5.4  -2.7  -8.1  -3.9  -4.8 113.9
 [7,]  -2.2   1.3  -1.2 -19.6   3.9   0.9  -7.3  -0.2  -3.2  -7.6  -0.7  -2.2
 [8,]   1.0   0.9   1.1  -1.7   6.4   1.5  -6.0   0.5   1.4  -4.5  -7.8  -0.8
 [9,]   2.4  -1.1  -1.1   3.6 -12.0   3.7 -13.5  -8.5  -3.3 -10.1   1.8   3.2
[10,]  -2.2   1.0  -7.8  -0.6  -3.1   3.3   3.4  -0.4  -4.8  -2.7   4.7 -10.0
[11,]   4.4   0.0  20.3  -3.1  10.1   3.9  -2.0   0.4   4.3  -1.2   5.0   1.6
[12,]   5.5   2.0  83.9  -7.9   0.3   8.8   4.8   2.6   2.0  10.0  -0.1 -16.4
      [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60]
 [1,] -12.6  -4.0  19.6   6.0   4.8  -4.4  -1.2  -8.7   0.9   7.6   6.9  12.7
 [2,]  -2.4  -2.3  38.2  -7.4  -1.0  -4.9  -7.7  11.7   7.5  -2.4  23.1  -0.9
 [3,]  -1.7  -8.3  21.5  -8.1   2.9  -5.3  -3.1   3.5  -7.1  -7.7   8.9   5.7
 [4,]  -0.8  -0.6  31.9  -9.2  -7.4 -10.0   5.9  -7.3  -0.6  -8.1   8.7 -19.1
 [5,]  -3.2  -5.8  20.0  -1.5  -0.1   1.5  -5.9   3.9   1.3  12.8  -8.2  -0.4
 [6,]   2.4   1.0   4.1  -6.7   0.8  -0.2  -5.1  -4.8  -2.3   0.0  14.8   4.2
 [7,]  -5.5  -5.7  -5.2  -8.4  -3.5 -10.5  -2.1  -0.8  -0.2  -0.4  -3.5  -2.3
 [8,] -13.1   1.1 -22.5 -11.7   8.9  -2.2  -1.0  -4.9  -9.4  -3.4   0.0  -3.5
 [9,]  -5.1  -6.1  -8.9  -2.1 -14.5  -7.4  -2.7   1.0  -4.6  -6.2 -15.4   2.0
[10,]  -6.2   2.4 -14.2  -3.6   1.0  -3.1  -7.5  -4.4   9.6  -0.2  -5.8  -4.5
[11,] -17.5  -0.7 -13.6  -1.1  19.3   1.2   2.3  16.1   1.7  27.3  -0.3    NA
[12,]   1.3   1.6  -5.2  -0.7  13.7  -0.7   1.0  -7.5  -3.6 -10.9  -5.8    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/wessaorg/rcomp/tmp/1ohhf1352832686.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/wessaorg/rcomp/tmp/2jvue1352832686.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/wessaorg/rcomp/tmp/3jnt21352832686.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/wessaorg/rcomp/tmp/4irqv1352832686.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,] 239.10 236.40 235.20 245.20 246.20 246.10 244.50 243.60 241.50 239.10
[2,] 268.15 265.95 269.30 269.05 264.05 270.10 267.85 268.45 275.55 269.95
[3,] 294.25 292.85 298.75 295.55 295.75 303.45 301.90 300.10 302.25 294.25
[4,] 330.30 332.00 329.60 338.85 341.85 338.60 344.40 340.45 336.20 336.35
[5,] 423.40 416.10 408.40 423.40 442.80 408.40 448.00 445.80 402.70 430.30
      [,11]  [,12]
[1,] 236.40 235.20
[2,] 268.85 272.50
[3,] 293.10 296.40
[4,] 333.30 330.85
[5,] 416.10 402.50

$n
 [1] 60 60 60 60 60 60 60 60 60 60 60 59

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 281.5728 279.3773 286.4502 281.3124 279.8806 289.4776 286.2856 285.4136
[2,] 306.9272 306.3227 311.0498 309.7876 311.6194 317.4224 317.5144 314.7864
         [,9]    [,10]    [,11]    [,12]
[1,] 289.8788 280.7059 279.9537 284.3975
[2,] 314.6212 307.7941 306.2463 308.4025

$out
 [1] 448.2 430.3 438.2 439.8 462.8 466.9 461.7 462.8 445.0 439.2 448.0 466.9
[13] 448.2 445.8 461.7 438.2 445.0 439.2 439.8

$group
 [1]  1  1  2  3  6  7  8  9  9  9 10 10 10 11 11 11 12 12 12

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

> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/584wf1352832686.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]
[1,] -14.20 -13.60 -16.40 -19.10 -12.00 -14.90 -11.00 -13.1 -15.40 -11.00
[2,]  -5.65  -3.20  -4.85  -5.65  -3.80  -5.15  -6.10  -4.7  -7.05  -5.75
[3,]  -1.85  -0.45   0.10  -1.25  -0.70  -1.65  -1.45  -0.9  -2.90  -2.25
[4,]   1.55   4.35   4.25   3.70   4.85   2.65   0.45   1.5   1.15  -0.20
[5,]   9.60  11.70  13.70  12.70  12.80   8.90   8.70   8.9   4.30   4.70
      [,11] [,12]
[1,] -13.10 -16.4
[2,]  -4.35  -6.8
[3,]  -0.70  -1.1
[4,]   1.65   2.0
[5,]  10.10  13.7

$n
 [1] 60 60 60 60 60 60 60 60 60 60 59 59

$conf
           [,1]      [,2]      [,3]       [,4]      [,5]        [,6]       [,7]
[1,] -3.3186353 -1.990027 -1.756192 -3.1571861 -2.464402 -3.24102156 -2.7860502
[2,] -0.3813647  1.090027  1.956192  0.6571861  1.064402 -0.05897844 -0.1139498
           [,8]      [,9]     [,10]      [,11]      [,12]
[1,] -2.1646582 -4.572612 -3.382073 -1.9341909 -2.9101466
[2,]  0.3646582 -1.227388 -1.117927  0.5341909  0.7101466

$out
 [1]  25.2000  20.4000  19.6000  12.7000  19.7255  20.3000 -17.5000  19.3000
 [9]  16.1000  27.3000  27.9000  38.2000  23.1000 -19.7255  83.9000  35.0000
[17]  21.5000  19.7000  20.4000  19.6000  19.3000  31.9000  39.3000  38.2000
[25]  23.1000  22.0000  74.3000  20.0000  35.0000  21.5000  26.6000 113.9000
[33]  14.8000  19.3000  31.9000 -19.1000  10.8000 -19.6000  22.0000  74.3000
[41]  20.0000  12.8000 -22.5000  26.6000 113.9000  14.8000  10.8000 -19.6000
[49]   9.0000 -14.2000   9.6000 -22.5000  20.3000 -17.5000 -13.6000  19.3000
[57]  16.1000  27.3000  83.9000

$group
 [1]  1  1  1  1  2  2  2  2  2  2  2  2  2  3  3  3  3  4  4  4  4  4  5  5  5
[26]  5  5  5  6  6  6  6  6  7  7  7  7  7  8  8  8  8  8  9  9  9 10 10 10 10
[51] 10 11 11 11 11 11 11 11 12

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

> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/62z611352832686.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]  [,10]
[1,] 255.00 281.20 258.00 301.30 243.60 240.80 250.00 251.20 263.7 255.90
[2,] 290.05 301.45 263.05 314.55 245.30 252.00 251.50 257.25 266.2 300.35
[3,] 354.10 325.60 276.65 319.10 250.25 257.25 253.00 261.15 268.9 352.55
[4,] 378.45 344.70 298.00 324.20 266.60 260.00 254.65 266.75 270.1 368.20
[5,] 393.50 357.40 327.00 333.30 287.50 261.30 257.30 268.60 270.9 380.50
      [,11]  [,12] [,13]  [,14]  [,15]  [,16]  [,17]  [,18]  [,19]  [,20]
[1,] 277.70 272.90 289.2 288.50 269.20 253.70 235.20 243.30 386.50 333.30
[2,] 287.70 279.00 300.1 291.00 276.45 261.25 240.30 251.55 403.90 338.50
[3,] 296.60 283.05 307.5 295.15 288.65 262.80 246.95 253.25 407.55 348.55
[4,] 320.45 284.25 316.5 302.60 294.30 266.40 250.70 389.55 430.80 358.35
[5,] 328.10 287.40 322.5 305.40 297.10 268.80 254.80 448.00 448.20 381.40
      [,21]  [,22]  [,23] [,24]  [,25]  [,26]  [,27]  [,28]  [,29]  [,30]
[1,] 328.30 350.30 339.30 331.7 301.50 285.90 288.20 277.90 277.60 313.80
[2,] 331.15 373.75 342.45 334.3 307.15 291.70 290.05 283.55 297.45 316.55
[3,] 400.15 391.85 344.05 344.5 314.20 293.70 292.75 287.45 328.45 321.40
[4,] 452.25 402.90 347.90 356.2 321.45 297.65 294.05 288.50 343.15 329.25
[5,] 466.90 430.30 349.50 367.7 324.30 301.10 299.90 293.20 348.20 334.90
      [,31]  [,32]  [,33]  [,34]  [,35]  [,36] [,37]  [,38]  [,39]  [,40]
[1,] 311.30 274.50 258.00 274.40 240.80 253.30 250.0 258.90 255.90 324.40
[2,] 342.85 280.75 263.05 294.40 244.25 254.85 251.1 261.15 264.25 326.85
[3,] 363.20 301.45 298.00 314.55 248.20 257.25 252.5 266.75 269.55 352.55
[4,] 378.45 325.60 324.55 319.10 250.40 260.00 254.5 268.10 270.30 368.20
[5,] 393.50 342.90 333.30 327.00 258.80 261.30 257.3 268.60 276.20 380.50
      [,41]  [,42]  [,43]  [,44]  [,45]  [,46]  [,47]  [,48]  [,49]  [,50]
[1,] 272.90 276.80 290.30 288.50 262.50 235.20 241.50 251.50 357.70 328.30
[2,] 279.65 282.90 298.75 293.95 268.25 244.15 245.70 253.20 383.95 332.00
[3,] 287.70 284.25 307.50 295.50 276.45 261.25 248.65 386.15 403.90 338.50
[4,] 296.60 288.30 316.50 302.60 288.65 264.15 252.20 445.40 407.55 348.55
[5,] 316.50 292.50 322.50 305.40 297.10 268.80 254.80 448.20 423.40 359.00
      [,51]  [,52]  [,53]  [,54]  [,55]  [,56]  [,57]  [,58]  [,59] [,60]
[1,] 331.60 343.50 333.70 321.20 291.30 283.80 282.50 275.00 294.00 311.3
[2,] 395.95 349.25 340.65 328.00 300.15 287.70 288.35 280.45 323.35 315.6
[3,] 423.20 373.75 342.80 343.75 307.15 293.35 292.25 286.50 331.10 317.3
[4,] 452.25 391.85 347.90 355.75 314.20 297.65 293.50 289.30 343.15 324.4
[5,] 466.90 403.30 354.00 367.70 321.70 301.10 300.80 293.20 348.20 334.9

$n
 [1] 12 12 12 12 12 12 12 12 12 12 12 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 12 12 12 12 12 12 12 12 12 12 12 12 12
[51] 12 12 12 12 12 12 12 12 12 11

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]    [,8]
[1,] 313.7802 305.8734 260.7091 314.6986 240.5349 253.6011 251.5633 256.817
[2,] 394.4198 345.3266 292.5909 323.5014 259.9651 260.8989 254.4367 265.483
         [,9]    [,10]    [,11]    [,12]    [,13]    [,14]    [,15]    [,16]
[1,] 267.1212 321.6032 281.6625 280.6554 300.0198 289.8592 280.5085 260.4511
[2,] 270.6788 383.4968 311.5375 285.4446 314.9802 300.4408 296.7915 265.1489
        [,17]    [,18]    [,19]    [,20]    [,21]    [,22]    [,23]    [,24]
[1,] 242.2065 190.3073 395.2807 339.4963 344.9155 378.5545 341.5642 334.5113
[2,] 251.6935 316.1927 419.8193 357.6037 455.3845 405.1455 346.5358 354.4887
        [,25]    [,26]    [,27]    [,28]    [,29]    [,30]    [,31]    [,32]
[1,] 307.6777 290.9862 290.9256 285.1923 307.6059 315.6074 346.9626 280.9936
[2,] 320.7223 296.4138 294.5744 289.7077 349.2941 327.1926 379.4374 321.9064
        [,33]    [,34]    [,35]    [,36]    [,37]    [,38]    [,39]  [,40]
[1,] 269.9494 303.2842 245.3949 254.9011 250.9492 263.5801 266.7906 333.69
[2,] 326.0506 325.8158 251.0051 259.5989 254.0508 269.9199 272.3094 371.41
       [,41]   [,42]    [,43]    [,44]    [,45]    [,46]    [,47]    [,48]
[1,] 279.969 281.787 299.4041 291.5547 267.1454 252.1279 245.6853 298.4863
[2,] 295.431 286.713 315.5959 299.4453 285.7546 270.3721 251.6147 473.8137
        [,49]    [,50]    [,51]    [,52]    [,53]   [,54]    [,55]    [,56]
[1,] 393.1359 330.9514 397.5212 354.3199 339.4932 331.093 300.7417 288.8117
[2,] 414.6641 346.0486 448.8788 393.1801 346.1068 356.407 313.5583 297.8883
        [,57]    [,58]    [,59]    [,60]
[1,] 289.9011 282.4635 322.0691 313.1078
[2,] 294.5989 290.5365 340.1309 321.4922

$out
[1] 249.2 283.8 300.8 282.5 275.0 296.4 277.9 304.9

$group
[1] 16 27 27 27 28 42 57 58

$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" "38" "39" "40" "41" "42" "43" "44" "45"
[46] "46" "47" "48" "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" NA  

Warning message:
In bxp(list(stats = c(255, 290.05, 354.1, 378.45, 393.5, 281.2,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7cpgb1352832686.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,] 304.2617 292.850 299.1375
[2,] 306.5987 294.250 300.3563
[3,] 307.8633 296.075 303.0375
[4,] 310.8250 301.000 304.2750
[5,] 312.4783 303.450 306.6625

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 305.9357 292.9963 301.2501
[2,] 309.7910 299.1537 304.8249

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(304.261666666667, 306.598729449153, 307.863333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1ohhf1352832686.ps tmp/1ohhf1352832686.png",intern=TRUE))
character(0)
> try(system("convert tmp/2jvue1352832686.ps tmp/2jvue1352832686.png",intern=TRUE))
character(0)
> try(system("convert tmp/3jnt21352832686.ps tmp/3jnt21352832686.png",intern=TRUE))
character(0)
> try(system("convert tmp/4irqv1352832686.ps tmp/4irqv1352832686.png",intern=TRUE))
character(0)
> try(system("convert tmp/584wf1352832686.ps tmp/584wf1352832686.png",intern=TRUE))
character(0)
> try(system("convert tmp/62z611352832686.ps tmp/62z611352832686.png",intern=TRUE))
character(0)
> try(system("convert tmp/7cpgb1352832686.ps tmp/7cpgb1352832686.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  5.241   1.083   6.347