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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationMon, 08 Dec 2008 13:21:41 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/08/t12287677780x2ho6ifwi6dl5b.htm/, Retrieved Thu, 16 May 2024 15:52:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30947, Retrieved Thu, 16 May 2024 15:52:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
-   P   [Univariate Data Series] [marlies.polfliet_...] [2008-12-08 19:50:28] [fdc296cbeb5d8064cb0dbd634c3fdc55]
F RMP     [(Partial) Autocorrelation Function] [marlies.polfliet_...] [2008-12-08 19:59:34] [fdc296cbeb5d8064cb0dbd634c3fdc55]
F   P       [(Partial) Autocorrelation Function] [marlies.polfliet_...] [2008-12-08 20:01:47] [fdc296cbeb5d8064cb0dbd634c3fdc55]
F RMP         [Variance Reduction Matrix] [marlies.polfliet_...] [2008-12-08 20:09:04] [fdc296cbeb5d8064cb0dbd634c3fdc55]
F RMP           [Spectral Analysis] [marlies.polfliet_...] [2008-12-08 20:14:11] [fdc296cbeb5d8064cb0dbd634c3fdc55]
F                 [Spectral Analysis] [marlies.polfliet_...] [2008-12-08 20:16:35] [fdc296cbeb5d8064cb0dbd634c3fdc55]
F                   [Spectral Analysis] [marlies.polfliet_...] [2008-12-08 20:18:20] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-                       [Spectral Analysis] [marlies.polfliet_...] [2008-12-08 20:21:41] [e221948dd14811c7d88a6530ac2a8702] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
235.1
280.7
264.6
240.7
201.4
240.8
241.1
223.8
206.1
174.7
203.3
220.5
299.5
347.4
338.3
327.7
351.6
396.6
438.8
395.6
363.5
378.8
357
369
464.8
479.1
431.3
366.5
326.3
355.1
331.6
261.3
249
205.5
235.6
240.9
264.9
253.8
232.3
193.8
177
213.2
207.2
180.6
188.6
175.4
199
179.6
225.8
234
200.2
183.6
178.2
203.2
208.5
191.8
172.8
148
159.4
154.5
213.2
196.4
182.8
176.4
153.6
173.2
171
151.2
161.9
157.2
201.7
236.4
356.1
398.3
403.7
384.6
365.8
368.1
367.9
347
343.3
292.9
311.5
300.9
366.9
356.9
329.7
316.2
269
289.3
266.2
253.6
233.8
228.4
253.6
260.1
306.6
309.2
309.5
271
279.9
317.9
298.4
246.7
227.3
209.1
259.9
266
320.6
308.5
282.2
262.7
263.5
313.1
284.3
252.6
250.3
246.5
312.7
333.2
446.4
511.6
515.5
506.4
483.2
522.3
509.8
460.7
405.8
375
378.5
406.8
467.8
469.8
429.8
355.8
332.7
378
360.5
334.7
319.5
323.1
363.6
352.1
411.9
388.6
416.4
360.7
338
417.2
388.4
371.1
331.5
353.7
396.7
447
533.5
565.4
542.3
488.7
467.1
531.3
496.1
444
403.4
386.3
394.1
404.1
462.1
448.1
432.3
386.3
395.2
421.9
382.9
384.2
345.5
323.4
372.6
376
462.7
487
444.2
399.3
394.9
455.4
414
375.5
347
339.4
385.8
378.8
451.8
446.1
422.5
383.1
352.8
445.3
367.5
355.1
326.2
319.8
331.8
340.9
394.1
417.2
369.9
349.2
321.4
405.7
342.9
316.5
284.2
270.9
288.8
278.8
324.4
310.9
299
273
279.3
359.2
305
282.1
250.3
246.5
257.9
266.5
315.9
318.4
295.4
266.4
245.8
362.8
324.9
294.2
289.5
295.2
290.3
272
307.4
328.7
292.9
249.1
230.4
361.5
321.7
277.2
260.7
251
257.6
241.8
287.5
292.3
274.7
254.2
230
339
318.2
287
295.8
284
271
262.7
340.6
379.4
373.3
355.2
338.4
466.9
451
422
429.2
425.9
460.7
463.6
541.4
544.2
517.5
469.4
439.4
549
533
506.1
484
457
481.5
469.5
544.7
541.2
521.5
469.7
434.4
542.6
517.3
485.7
465.8
447
426.6
411.6
467.5
484.5
451.2
417.4
379.9
484.7
455
420.8
416.5
376.3
405.6
405.8
500.8
514
475.5
430.1
414.4
538
526
488.5
520.2
504.4
568.5
610.6
818
830.9
835.9
782
762.3
856.9
820.9
769.6
752.2
724.4
723.1
719.5
817.4
803.3
752.5
689
630.4
765.5
757.7
732.2
702.6
683.3
709.5
702.2
784.8
810.9
755.6
656.8
615.1
745.3
694.1
675.7
643.7
622.1
634.6
588
689.7
673.9
647.9
568.8
545.7
632.6
643.8
593.1
579.7
546
562.9
572.5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30947&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30947&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0.5
Degree of non-seasonal differencing (d)2
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0028 (360)0.017387
0.0056 (180)0.012271
0.0083 (120)0.007334
0.0111 (90)0.018865
0.0139 (72)0.017265
0.0167 (60)0.011223
0.0194 (51.4286)0.19918
0.0222 (45)0.035034
0.025 (40)0.338586
0.0278 (36)0.223785
0.0306 (32.7273)0.02437
0.0333 (30)0.008955
0.0361 (27.6923)1.561181
0.0389 (25.7143)1.06362
0.0417 (24)0.172855
0.0444 (22.5)0.759007
0.0472 (21.1765)0.632066
0.05 (20)0.096786
0.0528 (18.9474)0.428507
0.0556 (18)0.606781
0.0583 (17.1429)0.8444
0.0611 (16.3636)0.540182
0.0639 (15.6522)0.437526
0.0667 (15)0.089632
0.0694 (14.4)0.00107
0.0722 (13.8462)0.009063
0.075 (13.3333)0.17885
0.0778 (12.8571)0.042907
0.0806 (12.4138)0.059578
0.0833 (12)0.023468
0.0861 (11.6129)0.015711
0.0889 (11.25)0.200313
0.0917 (10.9091)0.045161
0.0944 (10.5882)0.008747
0.0972 (10.2857)0.025381
0.1 (10)0.815835
0.1028 (9.7297)3.055645
0.1056 (9.4737)0.201457
0.1083 (9.2308)1.150844
0.1111 (9)0.039035
0.1139 (8.7805)1.333421
0.1167 (8.5714)0.942058
0.1194 (8.3721)0.595183
0.1222 (8.1818)0.898231
0.125 (8)1.581545
0.1278 (7.8261)0.922547
0.1306 (7.6596)0.29589
0.1333 (7.5)2.871648
0.1361 (7.3469)0.893613
0.1389 (7.2)0.292998
0.1417 (7.0588)1.538181
0.1444 (6.9231)1.200326
0.1472 (6.7925)1.488947
0.15 (6.6667)2.066364
0.1528 (6.5455)0.489884
0.1556 (6.4286)0.564533
0.1583 (6.3158)0.330652
0.1611 (6.2069)0.040537
0.1639 (6.1017)0.245282
0.1667 (6)0.002433
0.1694 (5.9016)0.043668
0.1722 (5.8065)0.292426
0.175 (5.7143)0.022681
0.1778 (5.625)0.294947
0.1806 (5.5385)0.623715
0.1833 (5.4545)1.061308
0.1861 (5.3731)0.124428
0.1889 (5.2941)1.361561
0.1917 (5.2174)0.40617
0.1944 (5.1429)7.278316
0.1972 (5.0704)0.390997
0.2 (5)2.291664
0.2028 (4.9315)5.326341
0.2056 (4.8649)10.154344
0.2083 (4.8)6.706396
0.2111 (4.7368)0.932686
0.2139 (4.6753)3.156742
0.2167 (4.6154)2.610759
0.2194 (4.557)1.981463
0.2222 (4.5)0.574607
0.225 (4.4444)0.683714
0.2278 (4.3902)1.407041
0.2306 (4.3373)1.959798
0.2333 (4.2857)0.497073
0.2361 (4.2353)0.530573
0.2389 (4.186)0.018696
0.2417 (4.1379)3.705838
0.2444 (4.0909)0.113808
0.2472 (4.0449)0.327982
0.25 (4)0.04505
0.2528 (3.956)0.555443
0.2556 (3.913)0.103635
0.2583 (3.871)1.705473
0.2611 (3.8298)0.243612
0.2639 (3.7895)1.877647
0.2667 (3.75)1.896001
0.2694 (3.7113)11.184838
0.2722 (3.6735)2.197178
0.275 (3.6364)3.252433
0.2778 (3.6)0.120243
0.2806 (3.5644)0.031558
0.2833 (3.5294)3.865477
0.2861 (3.4951)17.203428
0.2889 (3.4615)0.256208
0.2917 (3.4286)3.405103
0.2944 (3.3962)2.961413
0.2972 (3.3645)1.494718
0.3 (3.3333)1.389677
0.3028 (3.3028)1.738752
0.3056 (3.2727)2.915191
0.3083 (3.2432)2.327467
0.3111 (3.2143)2.188682
0.3139 (3.1858)3.747549
0.3167 (3.1579)0.640349
0.3194 (3.1304)0.240483
0.3222 (3.1034)3.599246
0.325 (3.0769)0.744468
0.3278 (3.0508)0.534556
0.3306 (3.0252)1.018526
0.3333 (3)0.126925
0.3361 (2.9752)0.111946
0.3389 (2.9508)0.052008
0.3417 (2.9268)1.125937
0.3444 (2.9032)0.192139
0.3472 (2.88)2.295727
0.35 (2.8571)8.12636
0.3528 (2.8346)3.07577
0.3556 (2.8125)4.300312
0.3583 (2.7907)7.364444
0.3611 (2.7692)6.602732
0.3639 (2.7481)23.349277
0.3667 (2.7273)1.812559
0.3694 (2.7068)1.81181
0.3722 (2.6866)8.309148
0.375 (2.6667)2.491886
0.3778 (2.6471)2.59346
0.3806 (2.6277)16.752961
0.3833 (2.6087)6.21813
0.3861 (2.5899)2.023864
0.3889 (2.5714)4.385012
0.3917 (2.5532)14.463527
0.3944 (2.5352)7.209272
0.3972 (2.5175)2.245764
0.4 (2.5)0.766086
0.4028 (2.4828)1.843384
0.4056 (2.4658)0.072959
0.4083 (2.449)0.563371
0.4111 (2.4324)2.284297
0.4139 (2.4161)0.531384
0.4167 (2.4)0.617566
0.4194 (2.3841)0.319529
0.4222 (2.3684)0.743169
0.425 (2.3529)0.675259
0.4278 (2.3377)0.74879
0.4306 (2.3226)6.323118
0.4333 (2.3077)5.009555
0.4361 (2.293)1.25376
0.4389 (2.2785)6.10039
0.4417 (2.2642)5.96544
0.4444 (2.25)2.391404
0.4472 (2.236)17.518614
0.45 (2.2222)2.630527
0.4528 (2.2086)9.690795
0.4556 (2.1951)41.219137
0.4583 (2.1818)11.431721
0.4611 (2.1687)5.475174
0.4639 (2.1557)6.457544
0.4667 (2.1429)9.55063
0.4694 (2.1302)0.486456
0.4722 (2.1176)58.563011
0.475 (2.1053)2.001391
0.4778 (2.093)8.936606
0.4806 (2.0809)14.727018
0.4833 (2.069)0.262098
0.4861 (2.0571)3.935196
0.4889 (2.0455)0.269524
0.4917 (2.0339)2.094052
0.4944 (2.0225)1.387285
0.4972 (2.0112)1.434859
0.5 (2)0.299013

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 0.5 \tabularnewline
Degree of non-seasonal differencing (d) & 2 \tabularnewline
Degree of seasonal differencing (D) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0028 (360) & 0.017387 \tabularnewline
0.0056 (180) & 0.012271 \tabularnewline
0.0083 (120) & 0.007334 \tabularnewline
0.0111 (90) & 0.018865 \tabularnewline
0.0139 (72) & 0.017265 \tabularnewline
0.0167 (60) & 0.011223 \tabularnewline
0.0194 (51.4286) & 0.19918 \tabularnewline
0.0222 (45) & 0.035034 \tabularnewline
0.025 (40) & 0.338586 \tabularnewline
0.0278 (36) & 0.223785 \tabularnewline
0.0306 (32.7273) & 0.02437 \tabularnewline
0.0333 (30) & 0.008955 \tabularnewline
0.0361 (27.6923) & 1.561181 \tabularnewline
0.0389 (25.7143) & 1.06362 \tabularnewline
0.0417 (24) & 0.172855 \tabularnewline
0.0444 (22.5) & 0.759007 \tabularnewline
0.0472 (21.1765) & 0.632066 \tabularnewline
0.05 (20) & 0.096786 \tabularnewline
0.0528 (18.9474) & 0.428507 \tabularnewline
0.0556 (18) & 0.606781 \tabularnewline
0.0583 (17.1429) & 0.8444 \tabularnewline
0.0611 (16.3636) & 0.540182 \tabularnewline
0.0639 (15.6522) & 0.437526 \tabularnewline
0.0667 (15) & 0.089632 \tabularnewline
0.0694 (14.4) & 0.00107 \tabularnewline
0.0722 (13.8462) & 0.009063 \tabularnewline
0.075 (13.3333) & 0.17885 \tabularnewline
0.0778 (12.8571) & 0.042907 \tabularnewline
0.0806 (12.4138) & 0.059578 \tabularnewline
0.0833 (12) & 0.023468 \tabularnewline
0.0861 (11.6129) & 0.015711 \tabularnewline
0.0889 (11.25) & 0.200313 \tabularnewline
0.0917 (10.9091) & 0.045161 \tabularnewline
0.0944 (10.5882) & 0.008747 \tabularnewline
0.0972 (10.2857) & 0.025381 \tabularnewline
0.1 (10) & 0.815835 \tabularnewline
0.1028 (9.7297) & 3.055645 \tabularnewline
0.1056 (9.4737) & 0.201457 \tabularnewline
0.1083 (9.2308) & 1.150844 \tabularnewline
0.1111 (9) & 0.039035 \tabularnewline
0.1139 (8.7805) & 1.333421 \tabularnewline
0.1167 (8.5714) & 0.942058 \tabularnewline
0.1194 (8.3721) & 0.595183 \tabularnewline
0.1222 (8.1818) & 0.898231 \tabularnewline
0.125 (8) & 1.581545 \tabularnewline
0.1278 (7.8261) & 0.922547 \tabularnewline
0.1306 (7.6596) & 0.29589 \tabularnewline
0.1333 (7.5) & 2.871648 \tabularnewline
0.1361 (7.3469) & 0.893613 \tabularnewline
0.1389 (7.2) & 0.292998 \tabularnewline
0.1417 (7.0588) & 1.538181 \tabularnewline
0.1444 (6.9231) & 1.200326 \tabularnewline
0.1472 (6.7925) & 1.488947 \tabularnewline
0.15 (6.6667) & 2.066364 \tabularnewline
0.1528 (6.5455) & 0.489884 \tabularnewline
0.1556 (6.4286) & 0.564533 \tabularnewline
0.1583 (6.3158) & 0.330652 \tabularnewline
0.1611 (6.2069) & 0.040537 \tabularnewline
0.1639 (6.1017) & 0.245282 \tabularnewline
0.1667 (6) & 0.002433 \tabularnewline
0.1694 (5.9016) & 0.043668 \tabularnewline
0.1722 (5.8065) & 0.292426 \tabularnewline
0.175 (5.7143) & 0.022681 \tabularnewline
0.1778 (5.625) & 0.294947 \tabularnewline
0.1806 (5.5385) & 0.623715 \tabularnewline
0.1833 (5.4545) & 1.061308 \tabularnewline
0.1861 (5.3731) & 0.124428 \tabularnewline
0.1889 (5.2941) & 1.361561 \tabularnewline
0.1917 (5.2174) & 0.40617 \tabularnewline
0.1944 (5.1429) & 7.278316 \tabularnewline
0.1972 (5.0704) & 0.390997 \tabularnewline
0.2 (5) & 2.291664 \tabularnewline
0.2028 (4.9315) & 5.326341 \tabularnewline
0.2056 (4.8649) & 10.154344 \tabularnewline
0.2083 (4.8) & 6.706396 \tabularnewline
0.2111 (4.7368) & 0.932686 \tabularnewline
0.2139 (4.6753) & 3.156742 \tabularnewline
0.2167 (4.6154) & 2.610759 \tabularnewline
0.2194 (4.557) & 1.981463 \tabularnewline
0.2222 (4.5) & 0.574607 \tabularnewline
0.225 (4.4444) & 0.683714 \tabularnewline
0.2278 (4.3902) & 1.407041 \tabularnewline
0.2306 (4.3373) & 1.959798 \tabularnewline
0.2333 (4.2857) & 0.497073 \tabularnewline
0.2361 (4.2353) & 0.530573 \tabularnewline
0.2389 (4.186) & 0.018696 \tabularnewline
0.2417 (4.1379) & 3.705838 \tabularnewline
0.2444 (4.0909) & 0.113808 \tabularnewline
0.2472 (4.0449) & 0.327982 \tabularnewline
0.25 (4) & 0.04505 \tabularnewline
0.2528 (3.956) & 0.555443 \tabularnewline
0.2556 (3.913) & 0.103635 \tabularnewline
0.2583 (3.871) & 1.705473 \tabularnewline
0.2611 (3.8298) & 0.243612 \tabularnewline
0.2639 (3.7895) & 1.877647 \tabularnewline
0.2667 (3.75) & 1.896001 \tabularnewline
0.2694 (3.7113) & 11.184838 \tabularnewline
0.2722 (3.6735) & 2.197178 \tabularnewline
0.275 (3.6364) & 3.252433 \tabularnewline
0.2778 (3.6) & 0.120243 \tabularnewline
0.2806 (3.5644) & 0.031558 \tabularnewline
0.2833 (3.5294) & 3.865477 \tabularnewline
0.2861 (3.4951) & 17.203428 \tabularnewline
0.2889 (3.4615) & 0.256208 \tabularnewline
0.2917 (3.4286) & 3.405103 \tabularnewline
0.2944 (3.3962) & 2.961413 \tabularnewline
0.2972 (3.3645) & 1.494718 \tabularnewline
0.3 (3.3333) & 1.389677 \tabularnewline
0.3028 (3.3028) & 1.738752 \tabularnewline
0.3056 (3.2727) & 2.915191 \tabularnewline
0.3083 (3.2432) & 2.327467 \tabularnewline
0.3111 (3.2143) & 2.188682 \tabularnewline
0.3139 (3.1858) & 3.747549 \tabularnewline
0.3167 (3.1579) & 0.640349 \tabularnewline
0.3194 (3.1304) & 0.240483 \tabularnewline
0.3222 (3.1034) & 3.599246 \tabularnewline
0.325 (3.0769) & 0.744468 \tabularnewline
0.3278 (3.0508) & 0.534556 \tabularnewline
0.3306 (3.0252) & 1.018526 \tabularnewline
0.3333 (3) & 0.126925 \tabularnewline
0.3361 (2.9752) & 0.111946 \tabularnewline
0.3389 (2.9508) & 0.052008 \tabularnewline
0.3417 (2.9268) & 1.125937 \tabularnewline
0.3444 (2.9032) & 0.192139 \tabularnewline
0.3472 (2.88) & 2.295727 \tabularnewline
0.35 (2.8571) & 8.12636 \tabularnewline
0.3528 (2.8346) & 3.07577 \tabularnewline
0.3556 (2.8125) & 4.300312 \tabularnewline
0.3583 (2.7907) & 7.364444 \tabularnewline
0.3611 (2.7692) & 6.602732 \tabularnewline
0.3639 (2.7481) & 23.349277 \tabularnewline
0.3667 (2.7273) & 1.812559 \tabularnewline
0.3694 (2.7068) & 1.81181 \tabularnewline
0.3722 (2.6866) & 8.309148 \tabularnewline
0.375 (2.6667) & 2.491886 \tabularnewline
0.3778 (2.6471) & 2.59346 \tabularnewline
0.3806 (2.6277) & 16.752961 \tabularnewline
0.3833 (2.6087) & 6.21813 \tabularnewline
0.3861 (2.5899) & 2.023864 \tabularnewline
0.3889 (2.5714) & 4.385012 \tabularnewline
0.3917 (2.5532) & 14.463527 \tabularnewline
0.3944 (2.5352) & 7.209272 \tabularnewline
0.3972 (2.5175) & 2.245764 \tabularnewline
0.4 (2.5) & 0.766086 \tabularnewline
0.4028 (2.4828) & 1.843384 \tabularnewline
0.4056 (2.4658) & 0.072959 \tabularnewline
0.4083 (2.449) & 0.563371 \tabularnewline
0.4111 (2.4324) & 2.284297 \tabularnewline
0.4139 (2.4161) & 0.531384 \tabularnewline
0.4167 (2.4) & 0.617566 \tabularnewline
0.4194 (2.3841) & 0.319529 \tabularnewline
0.4222 (2.3684) & 0.743169 \tabularnewline
0.425 (2.3529) & 0.675259 \tabularnewline
0.4278 (2.3377) & 0.74879 \tabularnewline
0.4306 (2.3226) & 6.323118 \tabularnewline
0.4333 (2.3077) & 5.009555 \tabularnewline
0.4361 (2.293) & 1.25376 \tabularnewline
0.4389 (2.2785) & 6.10039 \tabularnewline
0.4417 (2.2642) & 5.96544 \tabularnewline
0.4444 (2.25) & 2.391404 \tabularnewline
0.4472 (2.236) & 17.518614 \tabularnewline
0.45 (2.2222) & 2.630527 \tabularnewline
0.4528 (2.2086) & 9.690795 \tabularnewline
0.4556 (2.1951) & 41.219137 \tabularnewline
0.4583 (2.1818) & 11.431721 \tabularnewline
0.4611 (2.1687) & 5.475174 \tabularnewline
0.4639 (2.1557) & 6.457544 \tabularnewline
0.4667 (2.1429) & 9.55063 \tabularnewline
0.4694 (2.1302) & 0.486456 \tabularnewline
0.4722 (2.1176) & 58.563011 \tabularnewline
0.475 (2.1053) & 2.001391 \tabularnewline
0.4778 (2.093) & 8.936606 \tabularnewline
0.4806 (2.0809) & 14.727018 \tabularnewline
0.4833 (2.069) & 0.262098 \tabularnewline
0.4861 (2.0571) & 3.935196 \tabularnewline
0.4889 (2.0455) & 0.269524 \tabularnewline
0.4917 (2.0339) & 2.094052 \tabularnewline
0.4944 (2.0225) & 1.387285 \tabularnewline
0.4972 (2.0112) & 1.434859 \tabularnewline
0.5 (2) & 0.299013 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30947&T=1

[TABLE]
[ROW][C]Raw Periodogram[/C][/ROW]
[ROW][C]Parameter[/C][C]Value[/C][/ROW]
[ROW][C]Box-Cox transformation parameter (lambda)[/C][C]0.5[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d)[/C][C]2[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D)[/C][C]1[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0028 (360)[/C][C]0.017387[/C][/ROW]
[ROW][C]0.0056 (180)[/C][C]0.012271[/C][/ROW]
[ROW][C]0.0083 (120)[/C][C]0.007334[/C][/ROW]
[ROW][C]0.0111 (90)[/C][C]0.018865[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]0.017265[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]0.011223[/C][/ROW]
[ROW][C]0.0194 (51.4286)[/C][C]0.19918[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]0.035034[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]0.338586[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]0.223785[/C][/ROW]
[ROW][C]0.0306 (32.7273)[/C][C]0.02437[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]0.008955[/C][/ROW]
[ROW][C]0.0361 (27.6923)[/C][C]1.561181[/C][/ROW]
[ROW][C]0.0389 (25.7143)[/C][C]1.06362[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]0.172855[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]0.759007[/C][/ROW]
[ROW][C]0.0472 (21.1765)[/C][C]0.632066[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]0.096786[/C][/ROW]
[ROW][C]0.0528 (18.9474)[/C][C]0.428507[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]0.606781[/C][/ROW]
[ROW][C]0.0583 (17.1429)[/C][C]0.8444[/C][/ROW]
[ROW][C]0.0611 (16.3636)[/C][C]0.540182[/C][/ROW]
[ROW][C]0.0639 (15.6522)[/C][C]0.437526[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]0.089632[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]0.00107[/C][/ROW]
[ROW][C]0.0722 (13.8462)[/C][C]0.009063[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]0.17885[/C][/ROW]
[ROW][C]0.0778 (12.8571)[/C][C]0.042907[/C][/ROW]
[ROW][C]0.0806 (12.4138)[/C][C]0.059578[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]0.023468[/C][/ROW]
[ROW][C]0.0861 (11.6129)[/C][C]0.015711[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]0.200313[/C][/ROW]
[ROW][C]0.0917 (10.9091)[/C][C]0.045161[/C][/ROW]
[ROW][C]0.0944 (10.5882)[/C][C]0.008747[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]0.025381[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]0.815835[/C][/ROW]
[ROW][C]0.1028 (9.7297)[/C][C]3.055645[/C][/ROW]
[ROW][C]0.1056 (9.4737)[/C][C]0.201457[/C][/ROW]
[ROW][C]0.1083 (9.2308)[/C][C]1.150844[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]0.039035[/C][/ROW]
[ROW][C]0.1139 (8.7805)[/C][C]1.333421[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]0.942058[/C][/ROW]
[ROW][C]0.1194 (8.3721)[/C][C]0.595183[/C][/ROW]
[ROW][C]0.1222 (8.1818)[/C][C]0.898231[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]1.581545[/C][/ROW]
[ROW][C]0.1278 (7.8261)[/C][C]0.922547[/C][/ROW]
[ROW][C]0.1306 (7.6596)[/C][C]0.29589[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]2.871648[/C][/ROW]
[ROW][C]0.1361 (7.3469)[/C][C]0.893613[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]0.292998[/C][/ROW]
[ROW][C]0.1417 (7.0588)[/C][C]1.538181[/C][/ROW]
[ROW][C]0.1444 (6.9231)[/C][C]1.200326[/C][/ROW]
[ROW][C]0.1472 (6.7925)[/C][C]1.488947[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]2.066364[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]0.489884[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]0.564533[/C][/ROW]
[ROW][C]0.1583 (6.3158)[/C][C]0.330652[/C][/ROW]
[ROW][C]0.1611 (6.2069)[/C][C]0.040537[/C][/ROW]
[ROW][C]0.1639 (6.1017)[/C][C]0.245282[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0.002433[/C][/ROW]
[ROW][C]0.1694 (5.9016)[/C][C]0.043668[/C][/ROW]
[ROW][C]0.1722 (5.8065)[/C][C]0.292426[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]0.022681[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]0.294947[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]0.623715[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]1.061308[/C][/ROW]
[ROW][C]0.1861 (5.3731)[/C][C]0.124428[/C][/ROW]
[ROW][C]0.1889 (5.2941)[/C][C]1.361561[/C][/ROW]
[ROW][C]0.1917 (5.2174)[/C][C]0.40617[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]7.278316[/C][/ROW]
[ROW][C]0.1972 (5.0704)[/C][C]0.390997[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]2.291664[/C][/ROW]
[ROW][C]0.2028 (4.9315)[/C][C]5.326341[/C][/ROW]
[ROW][C]0.2056 (4.8649)[/C][C]10.154344[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]6.706396[/C][/ROW]
[ROW][C]0.2111 (4.7368)[/C][C]0.932686[/C][/ROW]
[ROW][C]0.2139 (4.6753)[/C][C]3.156742[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]2.610759[/C][/ROW]
[ROW][C]0.2194 (4.557)[/C][C]1.981463[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]0.574607[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]0.683714[/C][/ROW]
[ROW][C]0.2278 (4.3902)[/C][C]1.407041[/C][/ROW]
[ROW][C]0.2306 (4.3373)[/C][C]1.959798[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]0.497073[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]0.530573[/C][/ROW]
[ROW][C]0.2389 (4.186)[/C][C]0.018696[/C][/ROW]
[ROW][C]0.2417 (4.1379)[/C][C]3.705838[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]0.113808[/C][/ROW]
[ROW][C]0.2472 (4.0449)[/C][C]0.327982[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.04505[/C][/ROW]
[ROW][C]0.2528 (3.956)[/C][C]0.555443[/C][/ROW]
[ROW][C]0.2556 (3.913)[/C][C]0.103635[/C][/ROW]
[ROW][C]0.2583 (3.871)[/C][C]1.705473[/C][/ROW]
[ROW][C]0.2611 (3.8298)[/C][C]0.243612[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]1.877647[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]1.896001[/C][/ROW]
[ROW][C]0.2694 (3.7113)[/C][C]11.184838[/C][/ROW]
[ROW][C]0.2722 (3.6735)[/C][C]2.197178[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]3.252433[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]0.120243[/C][/ROW]
[ROW][C]0.2806 (3.5644)[/C][C]0.031558[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]3.865477[/C][/ROW]
[ROW][C]0.2861 (3.4951)[/C][C]17.203428[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]0.256208[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]3.405103[/C][/ROW]
[ROW][C]0.2944 (3.3962)[/C][C]2.961413[/C][/ROW]
[ROW][C]0.2972 (3.3645)[/C][C]1.494718[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]1.389677[/C][/ROW]
[ROW][C]0.3028 (3.3028)[/C][C]1.738752[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]2.915191[/C][/ROW]
[ROW][C]0.3083 (3.2432)[/C][C]2.327467[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]2.188682[/C][/ROW]
[ROW][C]0.3139 (3.1858)[/C][C]3.747549[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]0.640349[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]0.240483[/C][/ROW]
[ROW][C]0.3222 (3.1034)[/C][C]3.599246[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]0.744468[/C][/ROW]
[ROW][C]0.3278 (3.0508)[/C][C]0.534556[/C][/ROW]
[ROW][C]0.3306 (3.0252)[/C][C]1.018526[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.126925[/C][/ROW]
[ROW][C]0.3361 (2.9752)[/C][C]0.111946[/C][/ROW]
[ROW][C]0.3389 (2.9508)[/C][C]0.052008[/C][/ROW]
[ROW][C]0.3417 (2.9268)[/C][C]1.125937[/C][/ROW]
[ROW][C]0.3444 (2.9032)[/C][C]0.192139[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]2.295727[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]8.12636[/C][/ROW]
[ROW][C]0.3528 (2.8346)[/C][C]3.07577[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]4.300312[/C][/ROW]
[ROW][C]0.3583 (2.7907)[/C][C]7.364444[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]6.602732[/C][/ROW]
[ROW][C]0.3639 (2.7481)[/C][C]23.349277[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]1.812559[/C][/ROW]
[ROW][C]0.3694 (2.7068)[/C][C]1.81181[/C][/ROW]
[ROW][C]0.3722 (2.6866)[/C][C]8.309148[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]2.491886[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]2.59346[/C][/ROW]
[ROW][C]0.3806 (2.6277)[/C][C]16.752961[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]6.21813[/C][/ROW]
[ROW][C]0.3861 (2.5899)[/C][C]2.023864[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]4.385012[/C][/ROW]
[ROW][C]0.3917 (2.5532)[/C][C]14.463527[/C][/ROW]
[ROW][C]0.3944 (2.5352)[/C][C]7.209272[/C][/ROW]
[ROW][C]0.3972 (2.5175)[/C][C]2.245764[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]0.766086[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]1.843384[/C][/ROW]
[ROW][C]0.4056 (2.4658)[/C][C]0.072959[/C][/ROW]
[ROW][C]0.4083 (2.449)[/C][C]0.563371[/C][/ROW]
[ROW][C]0.4111 (2.4324)[/C][C]2.284297[/C][/ROW]
[ROW][C]0.4139 (2.4161)[/C][C]0.531384[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0.617566[/C][/ROW]
[ROW][C]0.4194 (2.3841)[/C][C]0.319529[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]0.743169[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]0.675259[/C][/ROW]
[ROW][C]0.4278 (2.3377)[/C][C]0.74879[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]6.323118[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]5.009555[/C][/ROW]
[ROW][C]0.4361 (2.293)[/C][C]1.25376[/C][/ROW]
[ROW][C]0.4389 (2.2785)[/C][C]6.10039[/C][/ROW]
[ROW][C]0.4417 (2.2642)[/C][C]5.96544[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]2.391404[/C][/ROW]
[ROW][C]0.4472 (2.236)[/C][C]17.518614[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]2.630527[/C][/ROW]
[ROW][C]0.4528 (2.2086)[/C][C]9.690795[/C][/ROW]
[ROW][C]0.4556 (2.1951)[/C][C]41.219137[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]11.431721[/C][/ROW]
[ROW][C]0.4611 (2.1687)[/C][C]5.475174[/C][/ROW]
[ROW][C]0.4639 (2.1557)[/C][C]6.457544[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]9.55063[/C][/ROW]
[ROW][C]0.4694 (2.1302)[/C][C]0.486456[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]58.563011[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]2.001391[/C][/ROW]
[ROW][C]0.4778 (2.093)[/C][C]8.936606[/C][/ROW]
[ROW][C]0.4806 (2.0809)[/C][C]14.727018[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]0.262098[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]3.935196[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]0.269524[/C][/ROW]
[ROW][C]0.4917 (2.0339)[/C][C]2.094052[/C][/ROW]
[ROW][C]0.4944 (2.0225)[/C][C]1.387285[/C][/ROW]
[ROW][C]0.4972 (2.0112)[/C][C]1.434859[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.299013[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30947&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0.5
Degree of non-seasonal differencing (d)2
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0028 (360)0.017387
0.0056 (180)0.012271
0.0083 (120)0.007334
0.0111 (90)0.018865
0.0139 (72)0.017265
0.0167 (60)0.011223
0.0194 (51.4286)0.19918
0.0222 (45)0.035034
0.025 (40)0.338586
0.0278 (36)0.223785
0.0306 (32.7273)0.02437
0.0333 (30)0.008955
0.0361 (27.6923)1.561181
0.0389 (25.7143)1.06362
0.0417 (24)0.172855
0.0444 (22.5)0.759007
0.0472 (21.1765)0.632066
0.05 (20)0.096786
0.0528 (18.9474)0.428507
0.0556 (18)0.606781
0.0583 (17.1429)0.8444
0.0611 (16.3636)0.540182
0.0639 (15.6522)0.437526
0.0667 (15)0.089632
0.0694 (14.4)0.00107
0.0722 (13.8462)0.009063
0.075 (13.3333)0.17885
0.0778 (12.8571)0.042907
0.0806 (12.4138)0.059578
0.0833 (12)0.023468
0.0861 (11.6129)0.015711
0.0889 (11.25)0.200313
0.0917 (10.9091)0.045161
0.0944 (10.5882)0.008747
0.0972 (10.2857)0.025381
0.1 (10)0.815835
0.1028 (9.7297)3.055645
0.1056 (9.4737)0.201457
0.1083 (9.2308)1.150844
0.1111 (9)0.039035
0.1139 (8.7805)1.333421
0.1167 (8.5714)0.942058
0.1194 (8.3721)0.595183
0.1222 (8.1818)0.898231
0.125 (8)1.581545
0.1278 (7.8261)0.922547
0.1306 (7.6596)0.29589
0.1333 (7.5)2.871648
0.1361 (7.3469)0.893613
0.1389 (7.2)0.292998
0.1417 (7.0588)1.538181
0.1444 (6.9231)1.200326
0.1472 (6.7925)1.488947
0.15 (6.6667)2.066364
0.1528 (6.5455)0.489884
0.1556 (6.4286)0.564533
0.1583 (6.3158)0.330652
0.1611 (6.2069)0.040537
0.1639 (6.1017)0.245282
0.1667 (6)0.002433
0.1694 (5.9016)0.043668
0.1722 (5.8065)0.292426
0.175 (5.7143)0.022681
0.1778 (5.625)0.294947
0.1806 (5.5385)0.623715
0.1833 (5.4545)1.061308
0.1861 (5.3731)0.124428
0.1889 (5.2941)1.361561
0.1917 (5.2174)0.40617
0.1944 (5.1429)7.278316
0.1972 (5.0704)0.390997
0.2 (5)2.291664
0.2028 (4.9315)5.326341
0.2056 (4.8649)10.154344
0.2083 (4.8)6.706396
0.2111 (4.7368)0.932686
0.2139 (4.6753)3.156742
0.2167 (4.6154)2.610759
0.2194 (4.557)1.981463
0.2222 (4.5)0.574607
0.225 (4.4444)0.683714
0.2278 (4.3902)1.407041
0.2306 (4.3373)1.959798
0.2333 (4.2857)0.497073
0.2361 (4.2353)0.530573
0.2389 (4.186)0.018696
0.2417 (4.1379)3.705838
0.2444 (4.0909)0.113808
0.2472 (4.0449)0.327982
0.25 (4)0.04505
0.2528 (3.956)0.555443
0.2556 (3.913)0.103635
0.2583 (3.871)1.705473
0.2611 (3.8298)0.243612
0.2639 (3.7895)1.877647
0.2667 (3.75)1.896001
0.2694 (3.7113)11.184838
0.2722 (3.6735)2.197178
0.275 (3.6364)3.252433
0.2778 (3.6)0.120243
0.2806 (3.5644)0.031558
0.2833 (3.5294)3.865477
0.2861 (3.4951)17.203428
0.2889 (3.4615)0.256208
0.2917 (3.4286)3.405103
0.2944 (3.3962)2.961413
0.2972 (3.3645)1.494718
0.3 (3.3333)1.389677
0.3028 (3.3028)1.738752
0.3056 (3.2727)2.915191
0.3083 (3.2432)2.327467
0.3111 (3.2143)2.188682
0.3139 (3.1858)3.747549
0.3167 (3.1579)0.640349
0.3194 (3.1304)0.240483
0.3222 (3.1034)3.599246
0.325 (3.0769)0.744468
0.3278 (3.0508)0.534556
0.3306 (3.0252)1.018526
0.3333 (3)0.126925
0.3361 (2.9752)0.111946
0.3389 (2.9508)0.052008
0.3417 (2.9268)1.125937
0.3444 (2.9032)0.192139
0.3472 (2.88)2.295727
0.35 (2.8571)8.12636
0.3528 (2.8346)3.07577
0.3556 (2.8125)4.300312
0.3583 (2.7907)7.364444
0.3611 (2.7692)6.602732
0.3639 (2.7481)23.349277
0.3667 (2.7273)1.812559
0.3694 (2.7068)1.81181
0.3722 (2.6866)8.309148
0.375 (2.6667)2.491886
0.3778 (2.6471)2.59346
0.3806 (2.6277)16.752961
0.3833 (2.6087)6.21813
0.3861 (2.5899)2.023864
0.3889 (2.5714)4.385012
0.3917 (2.5532)14.463527
0.3944 (2.5352)7.209272
0.3972 (2.5175)2.245764
0.4 (2.5)0.766086
0.4028 (2.4828)1.843384
0.4056 (2.4658)0.072959
0.4083 (2.449)0.563371
0.4111 (2.4324)2.284297
0.4139 (2.4161)0.531384
0.4167 (2.4)0.617566
0.4194 (2.3841)0.319529
0.4222 (2.3684)0.743169
0.425 (2.3529)0.675259
0.4278 (2.3377)0.74879
0.4306 (2.3226)6.323118
0.4333 (2.3077)5.009555
0.4361 (2.293)1.25376
0.4389 (2.2785)6.10039
0.4417 (2.2642)5.96544
0.4444 (2.25)2.391404
0.4472 (2.236)17.518614
0.45 (2.2222)2.630527
0.4528 (2.2086)9.690795
0.4556 (2.1951)41.219137
0.4583 (2.1818)11.431721
0.4611 (2.1687)5.475174
0.4639 (2.1557)6.457544
0.4667 (2.1429)9.55063
0.4694 (2.1302)0.486456
0.4722 (2.1176)58.563011
0.475 (2.1053)2.001391
0.4778 (2.093)8.936606
0.4806 (2.0809)14.727018
0.4833 (2.069)0.262098
0.4861 (2.0571)3.935196
0.4889 (2.0455)0.269524
0.4917 (2.0339)2.094052
0.4944 (2.0225)1.387285
0.4972 (2.0112)1.434859
0.5 (2)0.299013


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.5 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
Parameters (R input):
par1 = 0.5 ; par2 = 2 ; par3 = 1 ; par4 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
if (par1 == 0) {
x <- log(x)
} else {
x <- (x ^ par1 - 1) / par1
}
if (par2 > 0) x <- diff(x,lag=1,difference=par2)
if (par3 > 0) x <- diff(x,lag=par4,difference=par3)
bitmap(file='test1.png')
r <- spectrum(x,main='Raw Periodogram')
dev.off()
bitmap(file='test2.png')
cpgram(x,main='Cumulative Periodogram')
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Raw Periodogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Box-Cox transformation parameter (lambda)',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of non-seasonal differencing (d)',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of seasonal differencing (D)',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal Period (s)',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Frequency (Period)',header=TRUE)
a<-table.element(a,'Spectrum',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(r$freq)) {
a<-table.row.start(a)
mylab <- round(r$freq[i],4)
mylab <- paste(mylab,' (',sep='')
mylab <- paste(mylab,round(1/r$freq[i],4),sep='')
mylab <- paste(mylab,')',sep='')
a<-table.element(a,mylab,header=TRUE)
a<-table.element(a,round(r$spec[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')