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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 12:11:33 -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/t1228763524l8rhxtdx4kn48u5.htm/, Retrieved Thu, 16 May 2024 14:09:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30751, Retrieved Thu, 16 May 2024 14:09:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176
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]
- RMP   [Spectral Analysis] [20.2.1] [2008-12-08 19:07:16] [1eab65e90adf64584b8e6f0da23ff414]
F   P       [Spectral Analysis] [20.2.2] [2008-12-08 19:11:33] [0458bd763b171003ec052ce63099d477] [Current]
Feedback Forum
2008-12-15 16:53:07 [Ellen Van den Broeck] [reply
goed
2008-12-16 19:24:46 [Peter Van Doninck] [reply
De student heeft hier de oorspronkelijke link opgenomen, en dit nog met de verkeerde lambda waarde (0 ipv 1). Wat we zouden moeten kunnen afleiden uit het cumulatieve periodogram voor differentiatie is dat er zich een lange termijntrend voordoet. Dit zien we omdat 70% van de reeks zich links bevindt en bovendien zeer sterk stijgt. Ook zien we een trapjesvorm, wat op seizoenaliteit duidt.
De grafiek die de student in de workshop weergeeft, is deze na de niet seizoenale en seizoenale differentiatie. Hij heeft hier echter geen uitleg bij geschreven! We hebben een afwijking naar boven, wat erop wijst dat we een AR proces hebben.

Post a new message
Dataseries X:
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




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30751&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30751&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30751&T=0

As an alternative you can also use a 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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0027 (375)0.698479
0.0053 (187.5)5.822976
0.008 (125)0.186833
0.0107 (93.75)0.216835
0.0133 (75)0.165906
0.016 (62.5)1.689382
0.0187 (53.5714)1.319109
0.0213 (46.875)0.133126
0.024 (41.6667)0.703572
0.0267 (37.5)0.111372
0.0293 (34.0909)0.177325
0.032 (31.25)0.051627
0.0347 (28.8462)0.117684
0.0373 (26.7857)0.300701
0.04 (25)0.327321
0.0427 (23.4375)0.072495
0.0453 (22.0588)0.041502
0.048 (20.8333)0.051567
0.0507 (19.7368)0.004021
0.0533 (18.75)0.014007
0.056 (17.8571)0.028253
0.0587 (17.0455)0.054799
0.0613 (16.3043)0.028531
0.064 (15.625)0.015901
0.0667 (15)0.004054
0.0693 (14.4231)0.000259
0.072 (13.8889)0.000577
0.0747 (13.3929)0.027759
0.0773 (12.931)0.002725
0.08 (12.5)0.088987
0.0827 (12.0968)0.528542
0.0853 (11.7188)0.126878
0.088 (11.3636)0.049102
0.0907 (11.0294)0.0147
0.0933 (10.7143)0.002377
0.096 (10.4167)0.001269
0.0987 (10.1351)0.005547
0.1013 (9.8684)0.001394
0.104 (9.6154)0.030295
0.1067 (9.375)0.005558
0.1093 (9.1463)0.007331
0.112 (8.9286)0.002775
0.1147 (8.7209)0.005838
0.1173 (8.5227)0.004227
0.12 (8.3333)0.000355
0.1227 (8.1522)0.000913
0.1253 (7.9787)0.003172
0.128 (7.8125)0.002064
0.1307 (7.6531)0.000465
0.1333 (7.5)0.005726
0.136 (7.3529)0.001019
0.1387 (7.2115)0.001034
0.1413 (7.0755)0.001895
0.144 (6.9444)0.003415
0.1467 (6.8182)0.001495
0.1493 (6.6964)0.005663
0.152 (6.5789)0.008689
0.1547 (6.4655)0.002948
0.1573 (6.3559)0.011514
0.16 (6.25)0.002645
0.1627 (6.1475)0.035864
0.1653 (6.0484)0.314342
0.168 (5.9524)0.283272
0.1707 (5.8594)0.034146
0.1733 (5.7692)0.007262
0.176 (5.6818)0.00016
0.1787 (5.597)0.000147
0.1813 (5.5147)0.000933
0.184 (5.4348)0.002034
0.1867 (5.3571)3e-04
0.1893 (5.2817)0.000968
0.192 (5.2083)0.001417
0.1947 (5.137)0.006106
0.1973 (5.0676)0.000252
0.2 (5)0.001075
0.2027 (4.9342)0.000646
0.2053 (4.8701)0.003498
0.208 (4.8077)0.002124
0.2107 (4.7468)0.000781
0.2133 (4.6875)0.000986
0.216 (4.6296)0.000298
0.2187 (4.5732)0.001266
0.2213 (4.5181)0.00048
0.224 (4.4643)0.000155
0.2267 (4.4118)0.000492
0.2293 (4.3605)0.001035
0.232 (4.3103)0.001007
0.2347 (4.2614)6.4e-05
0.2373 (4.2135)0.001416
0.24 (4.1667)0.007017
0.2427 (4.1209)0.001118
0.2453 (4.0761)0.009721
0.248 (4.0323)0.035499
0.2507 (3.9894)0.136837
0.2533 (3.9474)0.010718
0.256 (3.9062)0.000326
0.2587 (3.866)0.002622
0.2613 (3.8265)0.001442
0.264 (3.7879)0.003051
0.2667 (3.75)0.000456
0.2693 (3.7129)0.004091
0.272 (3.6765)0.000885
0.2747 (3.6408)0.000373
0.2773 (3.6058)0.000127
0.28 (3.5714)0.000204
0.2827 (3.5377)0.00101
0.2853 (3.5047)0.001274
0.288 (3.4722)0.000367
0.2907 (3.4404)0.001085
0.2933 (3.4091)0.000554
0.296 (3.3784)0.000367
0.2987 (3.3482)4.7e-05
0.3013 (3.3186)0.000748
0.304 (3.2895)0.000153
0.3067 (3.2609)0.000197
0.3093 (3.2328)3e-04
0.312 (3.2051)0.00038
0.3147 (3.178)0.000906
0.3173 (3.1513)0.000165
0.32 (3.125)2.2e-05
0.3227 (3.0992)0.002894
0.3253 (3.0738)0.000733
0.328 (3.0488)0.001755
0.3307 (3.0242)0.007867
0.3333 (3)0.013953
0.336 (2.9762)0.001347
0.3387 (2.9528)0.001625
0.3413 (2.9297)9.4e-05
0.344 (2.907)0.000371
0.3467 (2.8846)0.000537
0.3493 (2.8626)0.001605
0.352 (2.8409)0.001083
0.3547 (2.8195)0.00025
0.3573 (2.7985)0.000695
0.36 (2.7778)0.000412
0.3627 (2.7574)0.003781
0.3653 (2.7372)0.000918
0.368 (2.7174)0.000291
0.3707 (2.6978)0.000304
0.3733 (2.6786)0.000492
0.376 (2.6596)0.000151
0.3787 (2.6408)0.000251
0.3813 (2.6224)0.001535
0.384 (2.6042)0.000371
0.3867 (2.5862)3.1e-05
0.3893 (2.5685)0.000466
0.392 (2.551)0.001455
0.3947 (2.5338)0.000684
0.3973 (2.5168)0.000623
0.4 (2.5)0.000307
0.4027 (2.4834)0.000961
0.4053 (2.4671)0.000261
0.408 (2.451)0.000234
0.4107 (2.4351)0.002888
0.4133 (2.4194)0.006985
0.416 (2.4038)0.101133
0.4187 (2.3885)0.029736
0.4213 (2.3734)0.010187
0.424 (2.3585)0.002232
0.4267 (2.3438)0.000402
0.4293 (2.3292)0.000536
0.432 (2.3148)0.001786
0.4347 (2.3006)0.000364
0.4373 (2.2866)0.000106
0.44 (2.2727)0.000215
0.4427 (2.259)0.000342
0.4453 (2.2455)0.00093
0.448 (2.2321)0.000429
0.4507 (2.2189)0.000281
0.4533 (2.2059)0.000703
0.456 (2.193)0.002047
0.4587 (2.1802)0.000427
0.4613 (2.1676)0.000233
0.464 (2.1552)0.000217
0.4667 (2.1429)0.000456
0.4693 (2.1307)3.4e-05
0.472 (2.1186)0.003475
0.4747 (2.1067)0.000324
0.4773 (2.095)0.00041
0.48 (2.0833)0.0012
0.4827 (2.0718)0.000183
0.4853 (2.0604)0.000832
0.488 (2.0492)1e-05
0.4907 (2.038)0.000629
0.4933 (2.027)0.000533
0.496 (2.0161)0.008941
0.4987 (2.0053)0.006115

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 0 \tabularnewline
Degree of non-seasonal differencing (d) & 0 \tabularnewline
Degree of seasonal differencing (D) & 0 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0027 (375) & 0.698479 \tabularnewline
0.0053 (187.5) & 5.822976 \tabularnewline
0.008 (125) & 0.186833 \tabularnewline
0.0107 (93.75) & 0.216835 \tabularnewline
0.0133 (75) & 0.165906 \tabularnewline
0.016 (62.5) & 1.689382 \tabularnewline
0.0187 (53.5714) & 1.319109 \tabularnewline
0.0213 (46.875) & 0.133126 \tabularnewline
0.024 (41.6667) & 0.703572 \tabularnewline
0.0267 (37.5) & 0.111372 \tabularnewline
0.0293 (34.0909) & 0.177325 \tabularnewline
0.032 (31.25) & 0.051627 \tabularnewline
0.0347 (28.8462) & 0.117684 \tabularnewline
0.0373 (26.7857) & 0.300701 \tabularnewline
0.04 (25) & 0.327321 \tabularnewline
0.0427 (23.4375) & 0.072495 \tabularnewline
0.0453 (22.0588) & 0.041502 \tabularnewline
0.048 (20.8333) & 0.051567 \tabularnewline
0.0507 (19.7368) & 0.004021 \tabularnewline
0.0533 (18.75) & 0.014007 \tabularnewline
0.056 (17.8571) & 0.028253 \tabularnewline
0.0587 (17.0455) & 0.054799 \tabularnewline
0.0613 (16.3043) & 0.028531 \tabularnewline
0.064 (15.625) & 0.015901 \tabularnewline
0.0667 (15) & 0.004054 \tabularnewline
0.0693 (14.4231) & 0.000259 \tabularnewline
0.072 (13.8889) & 0.000577 \tabularnewline
0.0747 (13.3929) & 0.027759 \tabularnewline
0.0773 (12.931) & 0.002725 \tabularnewline
0.08 (12.5) & 0.088987 \tabularnewline
0.0827 (12.0968) & 0.528542 \tabularnewline
0.0853 (11.7188) & 0.126878 \tabularnewline
0.088 (11.3636) & 0.049102 \tabularnewline
0.0907 (11.0294) & 0.0147 \tabularnewline
0.0933 (10.7143) & 0.002377 \tabularnewline
0.096 (10.4167) & 0.001269 \tabularnewline
0.0987 (10.1351) & 0.005547 \tabularnewline
0.1013 (9.8684) & 0.001394 \tabularnewline
0.104 (9.6154) & 0.030295 \tabularnewline
0.1067 (9.375) & 0.005558 \tabularnewline
0.1093 (9.1463) & 0.007331 \tabularnewline
0.112 (8.9286) & 0.002775 \tabularnewline
0.1147 (8.7209) & 0.005838 \tabularnewline
0.1173 (8.5227) & 0.004227 \tabularnewline
0.12 (8.3333) & 0.000355 \tabularnewline
0.1227 (8.1522) & 0.000913 \tabularnewline
0.1253 (7.9787) & 0.003172 \tabularnewline
0.128 (7.8125) & 0.002064 \tabularnewline
0.1307 (7.6531) & 0.000465 \tabularnewline
0.1333 (7.5) & 0.005726 \tabularnewline
0.136 (7.3529) & 0.001019 \tabularnewline
0.1387 (7.2115) & 0.001034 \tabularnewline
0.1413 (7.0755) & 0.001895 \tabularnewline
0.144 (6.9444) & 0.003415 \tabularnewline
0.1467 (6.8182) & 0.001495 \tabularnewline
0.1493 (6.6964) & 0.005663 \tabularnewline
0.152 (6.5789) & 0.008689 \tabularnewline
0.1547 (6.4655) & 0.002948 \tabularnewline
0.1573 (6.3559) & 0.011514 \tabularnewline
0.16 (6.25) & 0.002645 \tabularnewline
0.1627 (6.1475) & 0.035864 \tabularnewline
0.1653 (6.0484) & 0.314342 \tabularnewline
0.168 (5.9524) & 0.283272 \tabularnewline
0.1707 (5.8594) & 0.034146 \tabularnewline
0.1733 (5.7692) & 0.007262 \tabularnewline
0.176 (5.6818) & 0.00016 \tabularnewline
0.1787 (5.597) & 0.000147 \tabularnewline
0.1813 (5.5147) & 0.000933 \tabularnewline
0.184 (5.4348) & 0.002034 \tabularnewline
0.1867 (5.3571) & 3e-04 \tabularnewline
0.1893 (5.2817) & 0.000968 \tabularnewline
0.192 (5.2083) & 0.001417 \tabularnewline
0.1947 (5.137) & 0.006106 \tabularnewline
0.1973 (5.0676) & 0.000252 \tabularnewline
0.2 (5) & 0.001075 \tabularnewline
0.2027 (4.9342) & 0.000646 \tabularnewline
0.2053 (4.8701) & 0.003498 \tabularnewline
0.208 (4.8077) & 0.002124 \tabularnewline
0.2107 (4.7468) & 0.000781 \tabularnewline
0.2133 (4.6875) & 0.000986 \tabularnewline
0.216 (4.6296) & 0.000298 \tabularnewline
0.2187 (4.5732) & 0.001266 \tabularnewline
0.2213 (4.5181) & 0.00048 \tabularnewline
0.224 (4.4643) & 0.000155 \tabularnewline
0.2267 (4.4118) & 0.000492 \tabularnewline
0.2293 (4.3605) & 0.001035 \tabularnewline
0.232 (4.3103) & 0.001007 \tabularnewline
0.2347 (4.2614) & 6.4e-05 \tabularnewline
0.2373 (4.2135) & 0.001416 \tabularnewline
0.24 (4.1667) & 0.007017 \tabularnewline
0.2427 (4.1209) & 0.001118 \tabularnewline
0.2453 (4.0761) & 0.009721 \tabularnewline
0.248 (4.0323) & 0.035499 \tabularnewline
0.2507 (3.9894) & 0.136837 \tabularnewline
0.2533 (3.9474) & 0.010718 \tabularnewline
0.256 (3.9062) & 0.000326 \tabularnewline
0.2587 (3.866) & 0.002622 \tabularnewline
0.2613 (3.8265) & 0.001442 \tabularnewline
0.264 (3.7879) & 0.003051 \tabularnewline
0.2667 (3.75) & 0.000456 \tabularnewline
0.2693 (3.7129) & 0.004091 \tabularnewline
0.272 (3.6765) & 0.000885 \tabularnewline
0.2747 (3.6408) & 0.000373 \tabularnewline
0.2773 (3.6058) & 0.000127 \tabularnewline
0.28 (3.5714) & 0.000204 \tabularnewline
0.2827 (3.5377) & 0.00101 \tabularnewline
0.2853 (3.5047) & 0.001274 \tabularnewline
0.288 (3.4722) & 0.000367 \tabularnewline
0.2907 (3.4404) & 0.001085 \tabularnewline
0.2933 (3.4091) & 0.000554 \tabularnewline
0.296 (3.3784) & 0.000367 \tabularnewline
0.2987 (3.3482) & 4.7e-05 \tabularnewline
0.3013 (3.3186) & 0.000748 \tabularnewline
0.304 (3.2895) & 0.000153 \tabularnewline
0.3067 (3.2609) & 0.000197 \tabularnewline
0.3093 (3.2328) & 3e-04 \tabularnewline
0.312 (3.2051) & 0.00038 \tabularnewline
0.3147 (3.178) & 0.000906 \tabularnewline
0.3173 (3.1513) & 0.000165 \tabularnewline
0.32 (3.125) & 2.2e-05 \tabularnewline
0.3227 (3.0992) & 0.002894 \tabularnewline
0.3253 (3.0738) & 0.000733 \tabularnewline
0.328 (3.0488) & 0.001755 \tabularnewline
0.3307 (3.0242) & 0.007867 \tabularnewline
0.3333 (3) & 0.013953 \tabularnewline
0.336 (2.9762) & 0.001347 \tabularnewline
0.3387 (2.9528) & 0.001625 \tabularnewline
0.3413 (2.9297) & 9.4e-05 \tabularnewline
0.344 (2.907) & 0.000371 \tabularnewline
0.3467 (2.8846) & 0.000537 \tabularnewline
0.3493 (2.8626) & 0.001605 \tabularnewline
0.352 (2.8409) & 0.001083 \tabularnewline
0.3547 (2.8195) & 0.00025 \tabularnewline
0.3573 (2.7985) & 0.000695 \tabularnewline
0.36 (2.7778) & 0.000412 \tabularnewline
0.3627 (2.7574) & 0.003781 \tabularnewline
0.3653 (2.7372) & 0.000918 \tabularnewline
0.368 (2.7174) & 0.000291 \tabularnewline
0.3707 (2.6978) & 0.000304 \tabularnewline
0.3733 (2.6786) & 0.000492 \tabularnewline
0.376 (2.6596) & 0.000151 \tabularnewline
0.3787 (2.6408) & 0.000251 \tabularnewline
0.3813 (2.6224) & 0.001535 \tabularnewline
0.384 (2.6042) & 0.000371 \tabularnewline
0.3867 (2.5862) & 3.1e-05 \tabularnewline
0.3893 (2.5685) & 0.000466 \tabularnewline
0.392 (2.551) & 0.001455 \tabularnewline
0.3947 (2.5338) & 0.000684 \tabularnewline
0.3973 (2.5168) & 0.000623 \tabularnewline
0.4 (2.5) & 0.000307 \tabularnewline
0.4027 (2.4834) & 0.000961 \tabularnewline
0.4053 (2.4671) & 0.000261 \tabularnewline
0.408 (2.451) & 0.000234 \tabularnewline
0.4107 (2.4351) & 0.002888 \tabularnewline
0.4133 (2.4194) & 0.006985 \tabularnewline
0.416 (2.4038) & 0.101133 \tabularnewline
0.4187 (2.3885) & 0.029736 \tabularnewline
0.4213 (2.3734) & 0.010187 \tabularnewline
0.424 (2.3585) & 0.002232 \tabularnewline
0.4267 (2.3438) & 0.000402 \tabularnewline
0.4293 (2.3292) & 0.000536 \tabularnewline
0.432 (2.3148) & 0.001786 \tabularnewline
0.4347 (2.3006) & 0.000364 \tabularnewline
0.4373 (2.2866) & 0.000106 \tabularnewline
0.44 (2.2727) & 0.000215 \tabularnewline
0.4427 (2.259) & 0.000342 \tabularnewline
0.4453 (2.2455) & 0.00093 \tabularnewline
0.448 (2.2321) & 0.000429 \tabularnewline
0.4507 (2.2189) & 0.000281 \tabularnewline
0.4533 (2.2059) & 0.000703 \tabularnewline
0.456 (2.193) & 0.002047 \tabularnewline
0.4587 (2.1802) & 0.000427 \tabularnewline
0.4613 (2.1676) & 0.000233 \tabularnewline
0.464 (2.1552) & 0.000217 \tabularnewline
0.4667 (2.1429) & 0.000456 \tabularnewline
0.4693 (2.1307) & 3.4e-05 \tabularnewline
0.472 (2.1186) & 0.003475 \tabularnewline
0.4747 (2.1067) & 0.000324 \tabularnewline
0.4773 (2.095) & 0.00041 \tabularnewline
0.48 (2.0833) & 0.0012 \tabularnewline
0.4827 (2.0718) & 0.000183 \tabularnewline
0.4853 (2.0604) & 0.000832 \tabularnewline
0.488 (2.0492) & 1e-05 \tabularnewline
0.4907 (2.038) & 0.000629 \tabularnewline
0.4933 (2.027) & 0.000533 \tabularnewline
0.496 (2.0161) & 0.008941 \tabularnewline
0.4987 (2.0053) & 0.006115 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30751&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[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d)[/C][C]0[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D)[/C][C]0[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0027 (375)[/C][C]0.698479[/C][/ROW]
[ROW][C]0.0053 (187.5)[/C][C]5.822976[/C][/ROW]
[ROW][C]0.008 (125)[/C][C]0.186833[/C][/ROW]
[ROW][C]0.0107 (93.75)[/C][C]0.216835[/C][/ROW]
[ROW][C]0.0133 (75)[/C][C]0.165906[/C][/ROW]
[ROW][C]0.016 (62.5)[/C][C]1.689382[/C][/ROW]
[ROW][C]0.0187 (53.5714)[/C][C]1.319109[/C][/ROW]
[ROW][C]0.0213 (46.875)[/C][C]0.133126[/C][/ROW]
[ROW][C]0.024 (41.6667)[/C][C]0.703572[/C][/ROW]
[ROW][C]0.0267 (37.5)[/C][C]0.111372[/C][/ROW]
[ROW][C]0.0293 (34.0909)[/C][C]0.177325[/C][/ROW]
[ROW][C]0.032 (31.25)[/C][C]0.051627[/C][/ROW]
[ROW][C]0.0347 (28.8462)[/C][C]0.117684[/C][/ROW]
[ROW][C]0.0373 (26.7857)[/C][C]0.300701[/C][/ROW]
[ROW][C]0.04 (25)[/C][C]0.327321[/C][/ROW]
[ROW][C]0.0427 (23.4375)[/C][C]0.072495[/C][/ROW]
[ROW][C]0.0453 (22.0588)[/C][C]0.041502[/C][/ROW]
[ROW][C]0.048 (20.8333)[/C][C]0.051567[/C][/ROW]
[ROW][C]0.0507 (19.7368)[/C][C]0.004021[/C][/ROW]
[ROW][C]0.0533 (18.75)[/C][C]0.014007[/C][/ROW]
[ROW][C]0.056 (17.8571)[/C][C]0.028253[/C][/ROW]
[ROW][C]0.0587 (17.0455)[/C][C]0.054799[/C][/ROW]
[ROW][C]0.0613 (16.3043)[/C][C]0.028531[/C][/ROW]
[ROW][C]0.064 (15.625)[/C][C]0.015901[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]0.004054[/C][/ROW]
[ROW][C]0.0693 (14.4231)[/C][C]0.000259[/C][/ROW]
[ROW][C]0.072 (13.8889)[/C][C]0.000577[/C][/ROW]
[ROW][C]0.0747 (13.3929)[/C][C]0.027759[/C][/ROW]
[ROW][C]0.0773 (12.931)[/C][C]0.002725[/C][/ROW]
[ROW][C]0.08 (12.5)[/C][C]0.088987[/C][/ROW]
[ROW][C]0.0827 (12.0968)[/C][C]0.528542[/C][/ROW]
[ROW][C]0.0853 (11.7188)[/C][C]0.126878[/C][/ROW]
[ROW][C]0.088 (11.3636)[/C][C]0.049102[/C][/ROW]
[ROW][C]0.0907 (11.0294)[/C][C]0.0147[/C][/ROW]
[ROW][C]0.0933 (10.7143)[/C][C]0.002377[/C][/ROW]
[ROW][C]0.096 (10.4167)[/C][C]0.001269[/C][/ROW]
[ROW][C]0.0987 (10.1351)[/C][C]0.005547[/C][/ROW]
[ROW][C]0.1013 (9.8684)[/C][C]0.001394[/C][/ROW]
[ROW][C]0.104 (9.6154)[/C][C]0.030295[/C][/ROW]
[ROW][C]0.1067 (9.375)[/C][C]0.005558[/C][/ROW]
[ROW][C]0.1093 (9.1463)[/C][C]0.007331[/C][/ROW]
[ROW][C]0.112 (8.9286)[/C][C]0.002775[/C][/ROW]
[ROW][C]0.1147 (8.7209)[/C][C]0.005838[/C][/ROW]
[ROW][C]0.1173 (8.5227)[/C][C]0.004227[/C][/ROW]
[ROW][C]0.12 (8.3333)[/C][C]0.000355[/C][/ROW]
[ROW][C]0.1227 (8.1522)[/C][C]0.000913[/C][/ROW]
[ROW][C]0.1253 (7.9787)[/C][C]0.003172[/C][/ROW]
[ROW][C]0.128 (7.8125)[/C][C]0.002064[/C][/ROW]
[ROW][C]0.1307 (7.6531)[/C][C]0.000465[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]0.005726[/C][/ROW]
[ROW][C]0.136 (7.3529)[/C][C]0.001019[/C][/ROW]
[ROW][C]0.1387 (7.2115)[/C][C]0.001034[/C][/ROW]
[ROW][C]0.1413 (7.0755)[/C][C]0.001895[/C][/ROW]
[ROW][C]0.144 (6.9444)[/C][C]0.003415[/C][/ROW]
[ROW][C]0.1467 (6.8182)[/C][C]0.001495[/C][/ROW]
[ROW][C]0.1493 (6.6964)[/C][C]0.005663[/C][/ROW]
[ROW][C]0.152 (6.5789)[/C][C]0.008689[/C][/ROW]
[ROW][C]0.1547 (6.4655)[/C][C]0.002948[/C][/ROW]
[ROW][C]0.1573 (6.3559)[/C][C]0.011514[/C][/ROW]
[ROW][C]0.16 (6.25)[/C][C]0.002645[/C][/ROW]
[ROW][C]0.1627 (6.1475)[/C][C]0.035864[/C][/ROW]
[ROW][C]0.1653 (6.0484)[/C][C]0.314342[/C][/ROW]
[ROW][C]0.168 (5.9524)[/C][C]0.283272[/C][/ROW]
[ROW][C]0.1707 (5.8594)[/C][C]0.034146[/C][/ROW]
[ROW][C]0.1733 (5.7692)[/C][C]0.007262[/C][/ROW]
[ROW][C]0.176 (5.6818)[/C][C]0.00016[/C][/ROW]
[ROW][C]0.1787 (5.597)[/C][C]0.000147[/C][/ROW]
[ROW][C]0.1813 (5.5147)[/C][C]0.000933[/C][/ROW]
[ROW][C]0.184 (5.4348)[/C][C]0.002034[/C][/ROW]
[ROW][C]0.1867 (5.3571)[/C][C]3e-04[/C][/ROW]
[ROW][C]0.1893 (5.2817)[/C][C]0.000968[/C][/ROW]
[ROW][C]0.192 (5.2083)[/C][C]0.001417[/C][/ROW]
[ROW][C]0.1947 (5.137)[/C][C]0.006106[/C][/ROW]
[ROW][C]0.1973 (5.0676)[/C][C]0.000252[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]0.001075[/C][/ROW]
[ROW][C]0.2027 (4.9342)[/C][C]0.000646[/C][/ROW]
[ROW][C]0.2053 (4.8701)[/C][C]0.003498[/C][/ROW]
[ROW][C]0.208 (4.8077)[/C][C]0.002124[/C][/ROW]
[ROW][C]0.2107 (4.7468)[/C][C]0.000781[/C][/ROW]
[ROW][C]0.2133 (4.6875)[/C][C]0.000986[/C][/ROW]
[ROW][C]0.216 (4.6296)[/C][C]0.000298[/C][/ROW]
[ROW][C]0.2187 (4.5732)[/C][C]0.001266[/C][/ROW]
[ROW][C]0.2213 (4.5181)[/C][C]0.00048[/C][/ROW]
[ROW][C]0.224 (4.4643)[/C][C]0.000155[/C][/ROW]
[ROW][C]0.2267 (4.4118)[/C][C]0.000492[/C][/ROW]
[ROW][C]0.2293 (4.3605)[/C][C]0.001035[/C][/ROW]
[ROW][C]0.232 (4.3103)[/C][C]0.001007[/C][/ROW]
[ROW][C]0.2347 (4.2614)[/C][C]6.4e-05[/C][/ROW]
[ROW][C]0.2373 (4.2135)[/C][C]0.001416[/C][/ROW]
[ROW][C]0.24 (4.1667)[/C][C]0.007017[/C][/ROW]
[ROW][C]0.2427 (4.1209)[/C][C]0.001118[/C][/ROW]
[ROW][C]0.2453 (4.0761)[/C][C]0.009721[/C][/ROW]
[ROW][C]0.248 (4.0323)[/C][C]0.035499[/C][/ROW]
[ROW][C]0.2507 (3.9894)[/C][C]0.136837[/C][/ROW]
[ROW][C]0.2533 (3.9474)[/C][C]0.010718[/C][/ROW]
[ROW][C]0.256 (3.9062)[/C][C]0.000326[/C][/ROW]
[ROW][C]0.2587 (3.866)[/C][C]0.002622[/C][/ROW]
[ROW][C]0.2613 (3.8265)[/C][C]0.001442[/C][/ROW]
[ROW][C]0.264 (3.7879)[/C][C]0.003051[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]0.000456[/C][/ROW]
[ROW][C]0.2693 (3.7129)[/C][C]0.004091[/C][/ROW]
[ROW][C]0.272 (3.6765)[/C][C]0.000885[/C][/ROW]
[ROW][C]0.2747 (3.6408)[/C][C]0.000373[/C][/ROW]
[ROW][C]0.2773 (3.6058)[/C][C]0.000127[/C][/ROW]
[ROW][C]0.28 (3.5714)[/C][C]0.000204[/C][/ROW]
[ROW][C]0.2827 (3.5377)[/C][C]0.00101[/C][/ROW]
[ROW][C]0.2853 (3.5047)[/C][C]0.001274[/C][/ROW]
[ROW][C]0.288 (3.4722)[/C][C]0.000367[/C][/ROW]
[ROW][C]0.2907 (3.4404)[/C][C]0.001085[/C][/ROW]
[ROW][C]0.2933 (3.4091)[/C][C]0.000554[/C][/ROW]
[ROW][C]0.296 (3.3784)[/C][C]0.000367[/C][/ROW]
[ROW][C]0.2987 (3.3482)[/C][C]4.7e-05[/C][/ROW]
[ROW][C]0.3013 (3.3186)[/C][C]0.000748[/C][/ROW]
[ROW][C]0.304 (3.2895)[/C][C]0.000153[/C][/ROW]
[ROW][C]0.3067 (3.2609)[/C][C]0.000197[/C][/ROW]
[ROW][C]0.3093 (3.2328)[/C][C]3e-04[/C][/ROW]
[ROW][C]0.312 (3.2051)[/C][C]0.00038[/C][/ROW]
[ROW][C]0.3147 (3.178)[/C][C]0.000906[/C][/ROW]
[ROW][C]0.3173 (3.1513)[/C][C]0.000165[/C][/ROW]
[ROW][C]0.32 (3.125)[/C][C]2.2e-05[/C][/ROW]
[ROW][C]0.3227 (3.0992)[/C][C]0.002894[/C][/ROW]
[ROW][C]0.3253 (3.0738)[/C][C]0.000733[/C][/ROW]
[ROW][C]0.328 (3.0488)[/C][C]0.001755[/C][/ROW]
[ROW][C]0.3307 (3.0242)[/C][C]0.007867[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.013953[/C][/ROW]
[ROW][C]0.336 (2.9762)[/C][C]0.001347[/C][/ROW]
[ROW][C]0.3387 (2.9528)[/C][C]0.001625[/C][/ROW]
[ROW][C]0.3413 (2.9297)[/C][C]9.4e-05[/C][/ROW]
[ROW][C]0.344 (2.907)[/C][C]0.000371[/C][/ROW]
[ROW][C]0.3467 (2.8846)[/C][C]0.000537[/C][/ROW]
[ROW][C]0.3493 (2.8626)[/C][C]0.001605[/C][/ROW]
[ROW][C]0.352 (2.8409)[/C][C]0.001083[/C][/ROW]
[ROW][C]0.3547 (2.8195)[/C][C]0.00025[/C][/ROW]
[ROW][C]0.3573 (2.7985)[/C][C]0.000695[/C][/ROW]
[ROW][C]0.36 (2.7778)[/C][C]0.000412[/C][/ROW]
[ROW][C]0.3627 (2.7574)[/C][C]0.003781[/C][/ROW]
[ROW][C]0.3653 (2.7372)[/C][C]0.000918[/C][/ROW]
[ROW][C]0.368 (2.7174)[/C][C]0.000291[/C][/ROW]
[ROW][C]0.3707 (2.6978)[/C][C]0.000304[/C][/ROW]
[ROW][C]0.3733 (2.6786)[/C][C]0.000492[/C][/ROW]
[ROW][C]0.376 (2.6596)[/C][C]0.000151[/C][/ROW]
[ROW][C]0.3787 (2.6408)[/C][C]0.000251[/C][/ROW]
[ROW][C]0.3813 (2.6224)[/C][C]0.001535[/C][/ROW]
[ROW][C]0.384 (2.6042)[/C][C]0.000371[/C][/ROW]
[ROW][C]0.3867 (2.5862)[/C][C]3.1e-05[/C][/ROW]
[ROW][C]0.3893 (2.5685)[/C][C]0.000466[/C][/ROW]
[ROW][C]0.392 (2.551)[/C][C]0.001455[/C][/ROW]
[ROW][C]0.3947 (2.5338)[/C][C]0.000684[/C][/ROW]
[ROW][C]0.3973 (2.5168)[/C][C]0.000623[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]0.000307[/C][/ROW]
[ROW][C]0.4027 (2.4834)[/C][C]0.000961[/C][/ROW]
[ROW][C]0.4053 (2.4671)[/C][C]0.000261[/C][/ROW]
[ROW][C]0.408 (2.451)[/C][C]0.000234[/C][/ROW]
[ROW][C]0.4107 (2.4351)[/C][C]0.002888[/C][/ROW]
[ROW][C]0.4133 (2.4194)[/C][C]0.006985[/C][/ROW]
[ROW][C]0.416 (2.4038)[/C][C]0.101133[/C][/ROW]
[ROW][C]0.4187 (2.3885)[/C][C]0.029736[/C][/ROW]
[ROW][C]0.4213 (2.3734)[/C][C]0.010187[/C][/ROW]
[ROW][C]0.424 (2.3585)[/C][C]0.002232[/C][/ROW]
[ROW][C]0.4267 (2.3438)[/C][C]0.000402[/C][/ROW]
[ROW][C]0.4293 (2.3292)[/C][C]0.000536[/C][/ROW]
[ROW][C]0.432 (2.3148)[/C][C]0.001786[/C][/ROW]
[ROW][C]0.4347 (2.3006)[/C][C]0.000364[/C][/ROW]
[ROW][C]0.4373 (2.2866)[/C][C]0.000106[/C][/ROW]
[ROW][C]0.44 (2.2727)[/C][C]0.000215[/C][/ROW]
[ROW][C]0.4427 (2.259)[/C][C]0.000342[/C][/ROW]
[ROW][C]0.4453 (2.2455)[/C][C]0.00093[/C][/ROW]
[ROW][C]0.448 (2.2321)[/C][C]0.000429[/C][/ROW]
[ROW][C]0.4507 (2.2189)[/C][C]0.000281[/C][/ROW]
[ROW][C]0.4533 (2.2059)[/C][C]0.000703[/C][/ROW]
[ROW][C]0.456 (2.193)[/C][C]0.002047[/C][/ROW]
[ROW][C]0.4587 (2.1802)[/C][C]0.000427[/C][/ROW]
[ROW][C]0.4613 (2.1676)[/C][C]0.000233[/C][/ROW]
[ROW][C]0.464 (2.1552)[/C][C]0.000217[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]0.000456[/C][/ROW]
[ROW][C]0.4693 (2.1307)[/C][C]3.4e-05[/C][/ROW]
[ROW][C]0.472 (2.1186)[/C][C]0.003475[/C][/ROW]
[ROW][C]0.4747 (2.1067)[/C][C]0.000324[/C][/ROW]
[ROW][C]0.4773 (2.095)[/C][C]0.00041[/C][/ROW]
[ROW][C]0.48 (2.0833)[/C][C]0.0012[/C][/ROW]
[ROW][C]0.4827 (2.0718)[/C][C]0.000183[/C][/ROW]
[ROW][C]0.4853 (2.0604)[/C][C]0.000832[/C][/ROW]
[ROW][C]0.488 (2.0492)[/C][C]1e-05[/C][/ROW]
[ROW][C]0.4907 (2.038)[/C][C]0.000629[/C][/ROW]
[ROW][C]0.4933 (2.027)[/C][C]0.000533[/C][/ROW]
[ROW][C]0.496 (2.0161)[/C][C]0.008941[/C][/ROW]
[ROW][C]0.4987 (2.0053)[/C][C]0.006115[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30751&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30751&T=1

As an alternative you can also use a QR Code:  

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

Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0027 (375)0.698479
0.0053 (187.5)5.822976
0.008 (125)0.186833
0.0107 (93.75)0.216835
0.0133 (75)0.165906
0.016 (62.5)1.689382
0.0187 (53.5714)1.319109
0.0213 (46.875)0.133126
0.024 (41.6667)0.703572
0.0267 (37.5)0.111372
0.0293 (34.0909)0.177325
0.032 (31.25)0.051627
0.0347 (28.8462)0.117684
0.0373 (26.7857)0.300701
0.04 (25)0.327321
0.0427 (23.4375)0.072495
0.0453 (22.0588)0.041502
0.048 (20.8333)0.051567
0.0507 (19.7368)0.004021
0.0533 (18.75)0.014007
0.056 (17.8571)0.028253
0.0587 (17.0455)0.054799
0.0613 (16.3043)0.028531
0.064 (15.625)0.015901
0.0667 (15)0.004054
0.0693 (14.4231)0.000259
0.072 (13.8889)0.000577
0.0747 (13.3929)0.027759
0.0773 (12.931)0.002725
0.08 (12.5)0.088987
0.0827 (12.0968)0.528542
0.0853 (11.7188)0.126878
0.088 (11.3636)0.049102
0.0907 (11.0294)0.0147
0.0933 (10.7143)0.002377
0.096 (10.4167)0.001269
0.0987 (10.1351)0.005547
0.1013 (9.8684)0.001394
0.104 (9.6154)0.030295
0.1067 (9.375)0.005558
0.1093 (9.1463)0.007331
0.112 (8.9286)0.002775
0.1147 (8.7209)0.005838
0.1173 (8.5227)0.004227
0.12 (8.3333)0.000355
0.1227 (8.1522)0.000913
0.1253 (7.9787)0.003172
0.128 (7.8125)0.002064
0.1307 (7.6531)0.000465
0.1333 (7.5)0.005726
0.136 (7.3529)0.001019
0.1387 (7.2115)0.001034
0.1413 (7.0755)0.001895
0.144 (6.9444)0.003415
0.1467 (6.8182)0.001495
0.1493 (6.6964)0.005663
0.152 (6.5789)0.008689
0.1547 (6.4655)0.002948
0.1573 (6.3559)0.011514
0.16 (6.25)0.002645
0.1627 (6.1475)0.035864
0.1653 (6.0484)0.314342
0.168 (5.9524)0.283272
0.1707 (5.8594)0.034146
0.1733 (5.7692)0.007262
0.176 (5.6818)0.00016
0.1787 (5.597)0.000147
0.1813 (5.5147)0.000933
0.184 (5.4348)0.002034
0.1867 (5.3571)3e-04
0.1893 (5.2817)0.000968
0.192 (5.2083)0.001417
0.1947 (5.137)0.006106
0.1973 (5.0676)0.000252
0.2 (5)0.001075
0.2027 (4.9342)0.000646
0.2053 (4.8701)0.003498
0.208 (4.8077)0.002124
0.2107 (4.7468)0.000781
0.2133 (4.6875)0.000986
0.216 (4.6296)0.000298
0.2187 (4.5732)0.001266
0.2213 (4.5181)0.00048
0.224 (4.4643)0.000155
0.2267 (4.4118)0.000492
0.2293 (4.3605)0.001035
0.232 (4.3103)0.001007
0.2347 (4.2614)6.4e-05
0.2373 (4.2135)0.001416
0.24 (4.1667)0.007017
0.2427 (4.1209)0.001118
0.2453 (4.0761)0.009721
0.248 (4.0323)0.035499
0.2507 (3.9894)0.136837
0.2533 (3.9474)0.010718
0.256 (3.9062)0.000326
0.2587 (3.866)0.002622
0.2613 (3.8265)0.001442
0.264 (3.7879)0.003051
0.2667 (3.75)0.000456
0.2693 (3.7129)0.004091
0.272 (3.6765)0.000885
0.2747 (3.6408)0.000373
0.2773 (3.6058)0.000127
0.28 (3.5714)0.000204
0.2827 (3.5377)0.00101
0.2853 (3.5047)0.001274
0.288 (3.4722)0.000367
0.2907 (3.4404)0.001085
0.2933 (3.4091)0.000554
0.296 (3.3784)0.000367
0.2987 (3.3482)4.7e-05
0.3013 (3.3186)0.000748
0.304 (3.2895)0.000153
0.3067 (3.2609)0.000197
0.3093 (3.2328)3e-04
0.312 (3.2051)0.00038
0.3147 (3.178)0.000906
0.3173 (3.1513)0.000165
0.32 (3.125)2.2e-05
0.3227 (3.0992)0.002894
0.3253 (3.0738)0.000733
0.328 (3.0488)0.001755
0.3307 (3.0242)0.007867
0.3333 (3)0.013953
0.336 (2.9762)0.001347
0.3387 (2.9528)0.001625
0.3413 (2.9297)9.4e-05
0.344 (2.907)0.000371
0.3467 (2.8846)0.000537
0.3493 (2.8626)0.001605
0.352 (2.8409)0.001083
0.3547 (2.8195)0.00025
0.3573 (2.7985)0.000695
0.36 (2.7778)0.000412
0.3627 (2.7574)0.003781
0.3653 (2.7372)0.000918
0.368 (2.7174)0.000291
0.3707 (2.6978)0.000304
0.3733 (2.6786)0.000492
0.376 (2.6596)0.000151
0.3787 (2.6408)0.000251
0.3813 (2.6224)0.001535
0.384 (2.6042)0.000371
0.3867 (2.5862)3.1e-05
0.3893 (2.5685)0.000466
0.392 (2.551)0.001455
0.3947 (2.5338)0.000684
0.3973 (2.5168)0.000623
0.4 (2.5)0.000307
0.4027 (2.4834)0.000961
0.4053 (2.4671)0.000261
0.408 (2.451)0.000234
0.4107 (2.4351)0.002888
0.4133 (2.4194)0.006985
0.416 (2.4038)0.101133
0.4187 (2.3885)0.029736
0.4213 (2.3734)0.010187
0.424 (2.3585)0.002232
0.4267 (2.3438)0.000402
0.4293 (2.3292)0.000536
0.432 (2.3148)0.001786
0.4347 (2.3006)0.000364
0.4373 (2.2866)0.000106
0.44 (2.2727)0.000215
0.4427 (2.259)0.000342
0.4453 (2.2455)0.00093
0.448 (2.2321)0.000429
0.4507 (2.2189)0.000281
0.4533 (2.2059)0.000703
0.456 (2.193)0.002047
0.4587 (2.1802)0.000427
0.4613 (2.1676)0.000233
0.464 (2.1552)0.000217
0.4667 (2.1429)0.000456
0.4693 (2.1307)3.4e-05
0.472 (2.1186)0.003475
0.4747 (2.1067)0.000324
0.4773 (2.095)0.00041
0.48 (2.0833)0.0012
0.4827 (2.0718)0.000183
0.4853 (2.0604)0.000832
0.488 (2.0492)1e-05
0.4907 (2.038)0.000629
0.4933 (2.027)0.000533
0.496 (2.0161)0.008941
0.4987 (2.0053)0.006115



Parameters (Session):
par1 = 0.0 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
Parameters (R input):
par1 = 0.0 ; par2 = 0 ; par3 = 0 ; 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')