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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 09:34:42 -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/t1228754133bg30t9eetsvjj7v.htm/, Retrieved Thu, 16 May 2024 11:54:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30569, Retrieved Thu, 16 May 2024 11:54:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [Q1 SDMP] [2008-12-08 15:32:12] [547636b63517c1c2916a747d66b36ebf]
- RM    [Variance Reduction Matrix] [Q1 VRM] [2008-12-08 15:35:11] [547636b63517c1c2916a747d66b36ebf]
- RMP     [Spectral Analysis] [Spectrum Q1] [2008-12-08 15:50:38] [547636b63517c1c2916a747d66b36ebf]
-   P         [Spectral Analysis] [Spectrum Q1 goed] [2008-12-08 16:34:42] [e11d930c9e2984715c66c796cf63ef19] [Current]
- RMP           [(Partial) Autocorrelation Function] [Q1 PACF] [2008-12-08 18:18:02] [547636b63517c1c2916a747d66b36ebf]
Feedback Forum

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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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30569&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30569&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30569&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0.4
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0028 (360)0.017446
0.0056 (180)0.328119
0.0083 (120)0.06612
0.0111 (90)0.465424
0.0139 (72)0.303505
0.0167 (60)0.520125
0.0194 (51.4286)4.42706
0.0222 (45)0.508718
0.025 (40)3.893828
0.0278 (36)1.896859
0.0306 (32.7273)0.260818
0.0333 (30)0.087428
0.0361 (27.6923)9.06989
0.0389 (25.7143)5.631581
0.0417 (24)1.137963
0.0444 (22.5)3.204429
0.0472 (21.1765)2.025504
0.05 (20)0.313397
0.0528 (18.9474)1.170975
0.0556 (18)1.490397
0.0583 (17.1429)1.841854
0.0611 (16.3636)1.16742
0.0639 (15.6522)0.802814
0.0667 (15)0.157399
0.0694 (14.4)0.000668
0.0722 (13.8462)0.013636
0.075 (13.3333)0.268582
0.0778 (12.8571)0.043535
0.0806 (12.4138)0.08207
0.0833 (12)0.026281
0.0861 (11.6129)0.020371
0.0889 (11.25)0.162915
0.0917 (10.9091)0.040268
0.0944 (10.5882)0.010637
0.0972 (10.2857)0.021905
0.1 (10)0.606944
0.1028 (9.7297)2.278564
0.1056 (9.4737)0.157754
0.1083 (9.2308)0.905489
0.1111 (9)0.042722
0.1139 (8.7805)0.88543
0.1167 (8.5714)0.622326
0.1194 (8.3721)0.273257
0.1222 (8.1818)0.402546
0.125 (8)0.837167
0.1278 (7.8261)0.479063
0.1306 (7.6596)0.142484
0.1333 (7.5)1.366782
0.1361 (7.3469)0.363485
0.1389 (7.2)0.151252
0.1417 (7.0588)0.620332
0.1444 (6.9231)0.459632
0.1472 (6.7925)0.525187
0.15 (6.6667)0.872675
0.1528 (6.5455)0.191238
0.1556 (6.4286)0.233635
0.1583 (6.3158)0.115271
0.1611 (6.2069)0.004347
0.1639 (6.1017)0.07661
0.1667 (6)0.000661
0.1694 (5.9016)0.01209
0.1722 (5.8065)0.05356
0.175 (5.7143)0.006964
0.1778 (5.625)0.066918
0.1806 (5.5385)0.170333
0.1833 (5.4545)0.244934
0.1861 (5.3731)0.031697
0.1889 (5.2941)0.351825
0.1917 (5.2174)0.152451
0.1944 (5.1429)1.782287
0.1972 (5.0704)0.071496
0.2 (5)0.53218
0.2028 (4.9315)0.994174
0.2056 (4.8649)2.123485
0.2083 (4.8)1.435905
0.2111 (4.7368)0.204606
0.2139 (4.6753)0.615062
0.2167 (4.6154)0.480759
0.2194 (4.557)0.413382
0.2222 (4.5)0.112962
0.225 (4.4444)0.131858
0.2278 (4.3902)0.264392
0.2306 (4.3373)0.337843
0.2333 (4.2857)0.089994
0.2361 (4.2353)0.093451
0.2389 (4.186)0.006105
0.2417 (4.1379)0.606739
0.2444 (4.0909)0.027375
0.2472 (4.0449)0.054648
0.25 (4)0.004592
0.2528 (3.956)0.09
0.2556 (3.913)0.021421
0.2583 (3.871)0.261252
0.2611 (3.8298)0.04464
0.2639 (3.7895)0.28947
0.2667 (3.75)0.27068
0.2694 (3.7113)1.655357
0.2722 (3.6735)0.294395
0.275 (3.6364)0.392884
0.2778 (3.6)0.015829
0.2806 (3.5644)0.000397
0.2833 (3.5294)0.543873
0.2861 (3.4951)2.136163
0.2889 (3.4615)0.039783
0.2917 (3.4286)0.490759
0.2944 (3.3962)0.369474
0.2972 (3.3645)0.222406
0.3 (3.3333)0.173481
0.3028 (3.3028)0.195886
0.3056 (3.2727)0.359398
0.3083 (3.2432)0.2649
0.3111 (3.2143)0.226836
0.3139 (3.1858)0.436299
0.3167 (3.1579)0.061815
0.3194 (3.1304)0.03142
0.3222 (3.1034)0.405583
0.325 (3.0769)0.088371
0.3278 (3.0508)0.060779
0.3306 (3.0252)0.104547
0.3333 (3)0.011937
0.3361 (2.9752)0.009778
0.3389 (2.9508)0.006484
0.3417 (2.9268)0.105722
0.3444 (2.9032)0.019296
0.3472 (2.88)0.24176
0.35 (2.8571)0.798469
0.3528 (2.8346)0.294993
0.3556 (2.8125)0.430025
0.3583 (2.7907)0.779664
0.3611 (2.7692)0.65499
0.3639 (2.7481)2.288573
0.3667 (2.7273)0.201107
0.3694 (2.7068)0.191435
0.3722 (2.6866)0.802592
0.375 (2.6667)0.233989
0.3778 (2.6471)0.19575
0.3806 (2.6277)1.610827
0.3833 (2.6087)0.549775
0.3861 (2.5899)0.161451
0.3889 (2.5714)0.354275
0.3917 (2.5532)1.307463
0.3944 (2.5352)0.603217
0.3972 (2.5175)0.239315
0.4 (2.5)0.084609
0.4028 (2.4828)0.176629
0.4056 (2.4658)0.003185
0.4083 (2.449)0.044082
0.4111 (2.4324)0.224165
0.4139 (2.4161)0.047351
0.4167 (2.4)0.042456
0.4194 (2.3841)0.026332
0.4222 (2.3684)0.080139
0.425 (2.3529)0.058905
0.4278 (2.3377)0.066831
0.4306 (2.3226)0.532094
0.4333 (2.3077)0.373554
0.4361 (2.293)0.140335
0.4389 (2.2785)0.471006
0.4417 (2.2642)0.426858
0.4444 (2.25)0.189429
0.4472 (2.236)1.390214
0.45 (2.2222)0.202231
0.4528 (2.2086)0.829541
0.4556 (2.1951)3.228472
0.4583 (2.1818)0.946325
0.4611 (2.1687)0.399738
0.4639 (2.1557)0.484399
0.4667 (2.1429)0.737414
0.4694 (2.1302)0.040081
0.4722 (2.1176)4.504296
0.475 (2.1053)0.185938
0.4778 (2.093)0.636021
0.4806 (2.0809)1.093625
0.4833 (2.069)0.009939
0.4861 (2.0571)0.296251
0.4889 (2.0455)0.016461
0.4917 (2.0339)0.170725
0.4944 (2.0225)0.096335
0.4972 (2.0112)0.11861
0.5 (2)0.022229

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 0.4 \tabularnewline
Degree of non-seasonal differencing (d) & 1 \tabularnewline
Degree of seasonal differencing (D) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0028 (360) & 0.017446 \tabularnewline
0.0056 (180) & 0.328119 \tabularnewline
0.0083 (120) & 0.06612 \tabularnewline
0.0111 (90) & 0.465424 \tabularnewline
0.0139 (72) & 0.303505 \tabularnewline
0.0167 (60) & 0.520125 \tabularnewline
0.0194 (51.4286) & 4.42706 \tabularnewline
0.0222 (45) & 0.508718 \tabularnewline
0.025 (40) & 3.893828 \tabularnewline
0.0278 (36) & 1.896859 \tabularnewline
0.0306 (32.7273) & 0.260818 \tabularnewline
0.0333 (30) & 0.087428 \tabularnewline
0.0361 (27.6923) & 9.06989 \tabularnewline
0.0389 (25.7143) & 5.631581 \tabularnewline
0.0417 (24) & 1.137963 \tabularnewline
0.0444 (22.5) & 3.204429 \tabularnewline
0.0472 (21.1765) & 2.025504 \tabularnewline
0.05 (20) & 0.313397 \tabularnewline
0.0528 (18.9474) & 1.170975 \tabularnewline
0.0556 (18) & 1.490397 \tabularnewline
0.0583 (17.1429) & 1.841854 \tabularnewline
0.0611 (16.3636) & 1.16742 \tabularnewline
0.0639 (15.6522) & 0.802814 \tabularnewline
0.0667 (15) & 0.157399 \tabularnewline
0.0694 (14.4) & 0.000668 \tabularnewline
0.0722 (13.8462) & 0.013636 \tabularnewline
0.075 (13.3333) & 0.268582 \tabularnewline
0.0778 (12.8571) & 0.043535 \tabularnewline
0.0806 (12.4138) & 0.08207 \tabularnewline
0.0833 (12) & 0.026281 \tabularnewline
0.0861 (11.6129) & 0.020371 \tabularnewline
0.0889 (11.25) & 0.162915 \tabularnewline
0.0917 (10.9091) & 0.040268 \tabularnewline
0.0944 (10.5882) & 0.010637 \tabularnewline
0.0972 (10.2857) & 0.021905 \tabularnewline
0.1 (10) & 0.606944 \tabularnewline
0.1028 (9.7297) & 2.278564 \tabularnewline
0.1056 (9.4737) & 0.157754 \tabularnewline
0.1083 (9.2308) & 0.905489 \tabularnewline
0.1111 (9) & 0.042722 \tabularnewline
0.1139 (8.7805) & 0.88543 \tabularnewline
0.1167 (8.5714) & 0.622326 \tabularnewline
0.1194 (8.3721) & 0.273257 \tabularnewline
0.1222 (8.1818) & 0.402546 \tabularnewline
0.125 (8) & 0.837167 \tabularnewline
0.1278 (7.8261) & 0.479063 \tabularnewline
0.1306 (7.6596) & 0.142484 \tabularnewline
0.1333 (7.5) & 1.366782 \tabularnewline
0.1361 (7.3469) & 0.363485 \tabularnewline
0.1389 (7.2) & 0.151252 \tabularnewline
0.1417 (7.0588) & 0.620332 \tabularnewline
0.1444 (6.9231) & 0.459632 \tabularnewline
0.1472 (6.7925) & 0.525187 \tabularnewline
0.15 (6.6667) & 0.872675 \tabularnewline
0.1528 (6.5455) & 0.191238 \tabularnewline
0.1556 (6.4286) & 0.233635 \tabularnewline
0.1583 (6.3158) & 0.115271 \tabularnewline
0.1611 (6.2069) & 0.004347 \tabularnewline
0.1639 (6.1017) & 0.07661 \tabularnewline
0.1667 (6) & 0.000661 \tabularnewline
0.1694 (5.9016) & 0.01209 \tabularnewline
0.1722 (5.8065) & 0.05356 \tabularnewline
0.175 (5.7143) & 0.006964 \tabularnewline
0.1778 (5.625) & 0.066918 \tabularnewline
0.1806 (5.5385) & 0.170333 \tabularnewline
0.1833 (5.4545) & 0.244934 \tabularnewline
0.1861 (5.3731) & 0.031697 \tabularnewline
0.1889 (5.2941) & 0.351825 \tabularnewline
0.1917 (5.2174) & 0.152451 \tabularnewline
0.1944 (5.1429) & 1.782287 \tabularnewline
0.1972 (5.0704) & 0.071496 \tabularnewline
0.2 (5) & 0.53218 \tabularnewline
0.2028 (4.9315) & 0.994174 \tabularnewline
0.2056 (4.8649) & 2.123485 \tabularnewline
0.2083 (4.8) & 1.435905 \tabularnewline
0.2111 (4.7368) & 0.204606 \tabularnewline
0.2139 (4.6753) & 0.615062 \tabularnewline
0.2167 (4.6154) & 0.480759 \tabularnewline
0.2194 (4.557) & 0.413382 \tabularnewline
0.2222 (4.5) & 0.112962 \tabularnewline
0.225 (4.4444) & 0.131858 \tabularnewline
0.2278 (4.3902) & 0.264392 \tabularnewline
0.2306 (4.3373) & 0.337843 \tabularnewline
0.2333 (4.2857) & 0.089994 \tabularnewline
0.2361 (4.2353) & 0.093451 \tabularnewline
0.2389 (4.186) & 0.006105 \tabularnewline
0.2417 (4.1379) & 0.606739 \tabularnewline
0.2444 (4.0909) & 0.027375 \tabularnewline
0.2472 (4.0449) & 0.054648 \tabularnewline
0.25 (4) & 0.004592 \tabularnewline
0.2528 (3.956) & 0.09 \tabularnewline
0.2556 (3.913) & 0.021421 \tabularnewline
0.2583 (3.871) & 0.261252 \tabularnewline
0.2611 (3.8298) & 0.04464 \tabularnewline
0.2639 (3.7895) & 0.28947 \tabularnewline
0.2667 (3.75) & 0.27068 \tabularnewline
0.2694 (3.7113) & 1.655357 \tabularnewline
0.2722 (3.6735) & 0.294395 \tabularnewline
0.275 (3.6364) & 0.392884 \tabularnewline
0.2778 (3.6) & 0.015829 \tabularnewline
0.2806 (3.5644) & 0.000397 \tabularnewline
0.2833 (3.5294) & 0.543873 \tabularnewline
0.2861 (3.4951) & 2.136163 \tabularnewline
0.2889 (3.4615) & 0.039783 \tabularnewline
0.2917 (3.4286) & 0.490759 \tabularnewline
0.2944 (3.3962) & 0.369474 \tabularnewline
0.2972 (3.3645) & 0.222406 \tabularnewline
0.3 (3.3333) & 0.173481 \tabularnewline
0.3028 (3.3028) & 0.195886 \tabularnewline
0.3056 (3.2727) & 0.359398 \tabularnewline
0.3083 (3.2432) & 0.2649 \tabularnewline
0.3111 (3.2143) & 0.226836 \tabularnewline
0.3139 (3.1858) & 0.436299 \tabularnewline
0.3167 (3.1579) & 0.061815 \tabularnewline
0.3194 (3.1304) & 0.03142 \tabularnewline
0.3222 (3.1034) & 0.405583 \tabularnewline
0.325 (3.0769) & 0.088371 \tabularnewline
0.3278 (3.0508) & 0.060779 \tabularnewline
0.3306 (3.0252) & 0.104547 \tabularnewline
0.3333 (3) & 0.011937 \tabularnewline
0.3361 (2.9752) & 0.009778 \tabularnewline
0.3389 (2.9508) & 0.006484 \tabularnewline
0.3417 (2.9268) & 0.105722 \tabularnewline
0.3444 (2.9032) & 0.019296 \tabularnewline
0.3472 (2.88) & 0.24176 \tabularnewline
0.35 (2.8571) & 0.798469 \tabularnewline
0.3528 (2.8346) & 0.294993 \tabularnewline
0.3556 (2.8125) & 0.430025 \tabularnewline
0.3583 (2.7907) & 0.779664 \tabularnewline
0.3611 (2.7692) & 0.65499 \tabularnewline
0.3639 (2.7481) & 2.288573 \tabularnewline
0.3667 (2.7273) & 0.201107 \tabularnewline
0.3694 (2.7068) & 0.191435 \tabularnewline
0.3722 (2.6866) & 0.802592 \tabularnewline
0.375 (2.6667) & 0.233989 \tabularnewline
0.3778 (2.6471) & 0.19575 \tabularnewline
0.3806 (2.6277) & 1.610827 \tabularnewline
0.3833 (2.6087) & 0.549775 \tabularnewline
0.3861 (2.5899) & 0.161451 \tabularnewline
0.3889 (2.5714) & 0.354275 \tabularnewline
0.3917 (2.5532) & 1.307463 \tabularnewline
0.3944 (2.5352) & 0.603217 \tabularnewline
0.3972 (2.5175) & 0.239315 \tabularnewline
0.4 (2.5) & 0.084609 \tabularnewline
0.4028 (2.4828) & 0.176629 \tabularnewline
0.4056 (2.4658) & 0.003185 \tabularnewline
0.4083 (2.449) & 0.044082 \tabularnewline
0.4111 (2.4324) & 0.224165 \tabularnewline
0.4139 (2.4161) & 0.047351 \tabularnewline
0.4167 (2.4) & 0.042456 \tabularnewline
0.4194 (2.3841) & 0.026332 \tabularnewline
0.4222 (2.3684) & 0.080139 \tabularnewline
0.425 (2.3529) & 0.058905 \tabularnewline
0.4278 (2.3377) & 0.066831 \tabularnewline
0.4306 (2.3226) & 0.532094 \tabularnewline
0.4333 (2.3077) & 0.373554 \tabularnewline
0.4361 (2.293) & 0.140335 \tabularnewline
0.4389 (2.2785) & 0.471006 \tabularnewline
0.4417 (2.2642) & 0.426858 \tabularnewline
0.4444 (2.25) & 0.189429 \tabularnewline
0.4472 (2.236) & 1.390214 \tabularnewline
0.45 (2.2222) & 0.202231 \tabularnewline
0.4528 (2.2086) & 0.829541 \tabularnewline
0.4556 (2.1951) & 3.228472 \tabularnewline
0.4583 (2.1818) & 0.946325 \tabularnewline
0.4611 (2.1687) & 0.399738 \tabularnewline
0.4639 (2.1557) & 0.484399 \tabularnewline
0.4667 (2.1429) & 0.737414 \tabularnewline
0.4694 (2.1302) & 0.040081 \tabularnewline
0.4722 (2.1176) & 4.504296 \tabularnewline
0.475 (2.1053) & 0.185938 \tabularnewline
0.4778 (2.093) & 0.636021 \tabularnewline
0.4806 (2.0809) & 1.093625 \tabularnewline
0.4833 (2.069) & 0.009939 \tabularnewline
0.4861 (2.0571) & 0.296251 \tabularnewline
0.4889 (2.0455) & 0.016461 \tabularnewline
0.4917 (2.0339) & 0.170725 \tabularnewline
0.4944 (2.0225) & 0.096335 \tabularnewline
0.4972 (2.0112) & 0.11861 \tabularnewline
0.5 (2) & 0.022229 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30569&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]0.4[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d)[/C][C]1[/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]0.017446[/C][/ROW]
[ROW][C]0.0056 (180)[/C][C]0.328119[/C][/ROW]
[ROW][C]0.0083 (120)[/C][C]0.06612[/C][/ROW]
[ROW][C]0.0111 (90)[/C][C]0.465424[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]0.303505[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]0.520125[/C][/ROW]
[ROW][C]0.0194 (51.4286)[/C][C]4.42706[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]0.508718[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]3.893828[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]1.896859[/C][/ROW]
[ROW][C]0.0306 (32.7273)[/C][C]0.260818[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]0.087428[/C][/ROW]
[ROW][C]0.0361 (27.6923)[/C][C]9.06989[/C][/ROW]
[ROW][C]0.0389 (25.7143)[/C][C]5.631581[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]1.137963[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]3.204429[/C][/ROW]
[ROW][C]0.0472 (21.1765)[/C][C]2.025504[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]0.313397[/C][/ROW]
[ROW][C]0.0528 (18.9474)[/C][C]1.170975[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]1.490397[/C][/ROW]
[ROW][C]0.0583 (17.1429)[/C][C]1.841854[/C][/ROW]
[ROW][C]0.0611 (16.3636)[/C][C]1.16742[/C][/ROW]
[ROW][C]0.0639 (15.6522)[/C][C]0.802814[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]0.157399[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]0.000668[/C][/ROW]
[ROW][C]0.0722 (13.8462)[/C][C]0.013636[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]0.268582[/C][/ROW]
[ROW][C]0.0778 (12.8571)[/C][C]0.043535[/C][/ROW]
[ROW][C]0.0806 (12.4138)[/C][C]0.08207[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]0.026281[/C][/ROW]
[ROW][C]0.0861 (11.6129)[/C][C]0.020371[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]0.162915[/C][/ROW]
[ROW][C]0.0917 (10.9091)[/C][C]0.040268[/C][/ROW]
[ROW][C]0.0944 (10.5882)[/C][C]0.010637[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]0.021905[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]0.606944[/C][/ROW]
[ROW][C]0.1028 (9.7297)[/C][C]2.278564[/C][/ROW]
[ROW][C]0.1056 (9.4737)[/C][C]0.157754[/C][/ROW]
[ROW][C]0.1083 (9.2308)[/C][C]0.905489[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]0.042722[/C][/ROW]
[ROW][C]0.1139 (8.7805)[/C][C]0.88543[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]0.622326[/C][/ROW]
[ROW][C]0.1194 (8.3721)[/C][C]0.273257[/C][/ROW]
[ROW][C]0.1222 (8.1818)[/C][C]0.402546[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]0.837167[/C][/ROW]
[ROW][C]0.1278 (7.8261)[/C][C]0.479063[/C][/ROW]
[ROW][C]0.1306 (7.6596)[/C][C]0.142484[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]1.366782[/C][/ROW]
[ROW][C]0.1361 (7.3469)[/C][C]0.363485[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]0.151252[/C][/ROW]
[ROW][C]0.1417 (7.0588)[/C][C]0.620332[/C][/ROW]
[ROW][C]0.1444 (6.9231)[/C][C]0.459632[/C][/ROW]
[ROW][C]0.1472 (6.7925)[/C][C]0.525187[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]0.872675[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]0.191238[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]0.233635[/C][/ROW]
[ROW][C]0.1583 (6.3158)[/C][C]0.115271[/C][/ROW]
[ROW][C]0.1611 (6.2069)[/C][C]0.004347[/C][/ROW]
[ROW][C]0.1639 (6.1017)[/C][C]0.07661[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0.000661[/C][/ROW]
[ROW][C]0.1694 (5.9016)[/C][C]0.01209[/C][/ROW]
[ROW][C]0.1722 (5.8065)[/C][C]0.05356[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]0.006964[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]0.066918[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]0.170333[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]0.244934[/C][/ROW]
[ROW][C]0.1861 (5.3731)[/C][C]0.031697[/C][/ROW]
[ROW][C]0.1889 (5.2941)[/C][C]0.351825[/C][/ROW]
[ROW][C]0.1917 (5.2174)[/C][C]0.152451[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]1.782287[/C][/ROW]
[ROW][C]0.1972 (5.0704)[/C][C]0.071496[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]0.53218[/C][/ROW]
[ROW][C]0.2028 (4.9315)[/C][C]0.994174[/C][/ROW]
[ROW][C]0.2056 (4.8649)[/C][C]2.123485[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]1.435905[/C][/ROW]
[ROW][C]0.2111 (4.7368)[/C][C]0.204606[/C][/ROW]
[ROW][C]0.2139 (4.6753)[/C][C]0.615062[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]0.480759[/C][/ROW]
[ROW][C]0.2194 (4.557)[/C][C]0.413382[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]0.112962[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]0.131858[/C][/ROW]
[ROW][C]0.2278 (4.3902)[/C][C]0.264392[/C][/ROW]
[ROW][C]0.2306 (4.3373)[/C][C]0.337843[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]0.089994[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]0.093451[/C][/ROW]
[ROW][C]0.2389 (4.186)[/C][C]0.006105[/C][/ROW]
[ROW][C]0.2417 (4.1379)[/C][C]0.606739[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]0.027375[/C][/ROW]
[ROW][C]0.2472 (4.0449)[/C][C]0.054648[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.004592[/C][/ROW]
[ROW][C]0.2528 (3.956)[/C][C]0.09[/C][/ROW]
[ROW][C]0.2556 (3.913)[/C][C]0.021421[/C][/ROW]
[ROW][C]0.2583 (3.871)[/C][C]0.261252[/C][/ROW]
[ROW][C]0.2611 (3.8298)[/C][C]0.04464[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]0.28947[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]0.27068[/C][/ROW]
[ROW][C]0.2694 (3.7113)[/C][C]1.655357[/C][/ROW]
[ROW][C]0.2722 (3.6735)[/C][C]0.294395[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]0.392884[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]0.015829[/C][/ROW]
[ROW][C]0.2806 (3.5644)[/C][C]0.000397[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]0.543873[/C][/ROW]
[ROW][C]0.2861 (3.4951)[/C][C]2.136163[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]0.039783[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]0.490759[/C][/ROW]
[ROW][C]0.2944 (3.3962)[/C][C]0.369474[/C][/ROW]
[ROW][C]0.2972 (3.3645)[/C][C]0.222406[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]0.173481[/C][/ROW]
[ROW][C]0.3028 (3.3028)[/C][C]0.195886[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]0.359398[/C][/ROW]
[ROW][C]0.3083 (3.2432)[/C][C]0.2649[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]0.226836[/C][/ROW]
[ROW][C]0.3139 (3.1858)[/C][C]0.436299[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]0.061815[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]0.03142[/C][/ROW]
[ROW][C]0.3222 (3.1034)[/C][C]0.405583[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]0.088371[/C][/ROW]
[ROW][C]0.3278 (3.0508)[/C][C]0.060779[/C][/ROW]
[ROW][C]0.3306 (3.0252)[/C][C]0.104547[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.011937[/C][/ROW]
[ROW][C]0.3361 (2.9752)[/C][C]0.009778[/C][/ROW]
[ROW][C]0.3389 (2.9508)[/C][C]0.006484[/C][/ROW]
[ROW][C]0.3417 (2.9268)[/C][C]0.105722[/C][/ROW]
[ROW][C]0.3444 (2.9032)[/C][C]0.019296[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]0.24176[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]0.798469[/C][/ROW]
[ROW][C]0.3528 (2.8346)[/C][C]0.294993[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]0.430025[/C][/ROW]
[ROW][C]0.3583 (2.7907)[/C][C]0.779664[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]0.65499[/C][/ROW]
[ROW][C]0.3639 (2.7481)[/C][C]2.288573[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]0.201107[/C][/ROW]
[ROW][C]0.3694 (2.7068)[/C][C]0.191435[/C][/ROW]
[ROW][C]0.3722 (2.6866)[/C][C]0.802592[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]0.233989[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]0.19575[/C][/ROW]
[ROW][C]0.3806 (2.6277)[/C][C]1.610827[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]0.549775[/C][/ROW]
[ROW][C]0.3861 (2.5899)[/C][C]0.161451[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]0.354275[/C][/ROW]
[ROW][C]0.3917 (2.5532)[/C][C]1.307463[/C][/ROW]
[ROW][C]0.3944 (2.5352)[/C][C]0.603217[/C][/ROW]
[ROW][C]0.3972 (2.5175)[/C][C]0.239315[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]0.084609[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]0.176629[/C][/ROW]
[ROW][C]0.4056 (2.4658)[/C][C]0.003185[/C][/ROW]
[ROW][C]0.4083 (2.449)[/C][C]0.044082[/C][/ROW]
[ROW][C]0.4111 (2.4324)[/C][C]0.224165[/C][/ROW]
[ROW][C]0.4139 (2.4161)[/C][C]0.047351[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0.042456[/C][/ROW]
[ROW][C]0.4194 (2.3841)[/C][C]0.026332[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]0.080139[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]0.058905[/C][/ROW]
[ROW][C]0.4278 (2.3377)[/C][C]0.066831[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]0.532094[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]0.373554[/C][/ROW]
[ROW][C]0.4361 (2.293)[/C][C]0.140335[/C][/ROW]
[ROW][C]0.4389 (2.2785)[/C][C]0.471006[/C][/ROW]
[ROW][C]0.4417 (2.2642)[/C][C]0.426858[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]0.189429[/C][/ROW]
[ROW][C]0.4472 (2.236)[/C][C]1.390214[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]0.202231[/C][/ROW]
[ROW][C]0.4528 (2.2086)[/C][C]0.829541[/C][/ROW]
[ROW][C]0.4556 (2.1951)[/C][C]3.228472[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]0.946325[/C][/ROW]
[ROW][C]0.4611 (2.1687)[/C][C]0.399738[/C][/ROW]
[ROW][C]0.4639 (2.1557)[/C][C]0.484399[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]0.737414[/C][/ROW]
[ROW][C]0.4694 (2.1302)[/C][C]0.040081[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]4.504296[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]0.185938[/C][/ROW]
[ROW][C]0.4778 (2.093)[/C][C]0.636021[/C][/ROW]
[ROW][C]0.4806 (2.0809)[/C][C]1.093625[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]0.009939[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]0.296251[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]0.016461[/C][/ROW]
[ROW][C]0.4917 (2.0339)[/C][C]0.170725[/C][/ROW]
[ROW][C]0.4944 (2.0225)[/C][C]0.096335[/C][/ROW]
[ROW][C]0.4972 (2.0112)[/C][C]0.11861[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.022229[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30569&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30569&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)0.4
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0028 (360)0.017446
0.0056 (180)0.328119
0.0083 (120)0.06612
0.0111 (90)0.465424
0.0139 (72)0.303505
0.0167 (60)0.520125
0.0194 (51.4286)4.42706
0.0222 (45)0.508718
0.025 (40)3.893828
0.0278 (36)1.896859
0.0306 (32.7273)0.260818
0.0333 (30)0.087428
0.0361 (27.6923)9.06989
0.0389 (25.7143)5.631581
0.0417 (24)1.137963
0.0444 (22.5)3.204429
0.0472 (21.1765)2.025504
0.05 (20)0.313397
0.0528 (18.9474)1.170975
0.0556 (18)1.490397
0.0583 (17.1429)1.841854
0.0611 (16.3636)1.16742
0.0639 (15.6522)0.802814
0.0667 (15)0.157399
0.0694 (14.4)0.000668
0.0722 (13.8462)0.013636
0.075 (13.3333)0.268582
0.0778 (12.8571)0.043535
0.0806 (12.4138)0.08207
0.0833 (12)0.026281
0.0861 (11.6129)0.020371
0.0889 (11.25)0.162915
0.0917 (10.9091)0.040268
0.0944 (10.5882)0.010637
0.0972 (10.2857)0.021905
0.1 (10)0.606944
0.1028 (9.7297)2.278564
0.1056 (9.4737)0.157754
0.1083 (9.2308)0.905489
0.1111 (9)0.042722
0.1139 (8.7805)0.88543
0.1167 (8.5714)0.622326
0.1194 (8.3721)0.273257
0.1222 (8.1818)0.402546
0.125 (8)0.837167
0.1278 (7.8261)0.479063
0.1306 (7.6596)0.142484
0.1333 (7.5)1.366782
0.1361 (7.3469)0.363485
0.1389 (7.2)0.151252
0.1417 (7.0588)0.620332
0.1444 (6.9231)0.459632
0.1472 (6.7925)0.525187
0.15 (6.6667)0.872675
0.1528 (6.5455)0.191238
0.1556 (6.4286)0.233635
0.1583 (6.3158)0.115271
0.1611 (6.2069)0.004347
0.1639 (6.1017)0.07661
0.1667 (6)0.000661
0.1694 (5.9016)0.01209
0.1722 (5.8065)0.05356
0.175 (5.7143)0.006964
0.1778 (5.625)0.066918
0.1806 (5.5385)0.170333
0.1833 (5.4545)0.244934
0.1861 (5.3731)0.031697
0.1889 (5.2941)0.351825
0.1917 (5.2174)0.152451
0.1944 (5.1429)1.782287
0.1972 (5.0704)0.071496
0.2 (5)0.53218
0.2028 (4.9315)0.994174
0.2056 (4.8649)2.123485
0.2083 (4.8)1.435905
0.2111 (4.7368)0.204606
0.2139 (4.6753)0.615062
0.2167 (4.6154)0.480759
0.2194 (4.557)0.413382
0.2222 (4.5)0.112962
0.225 (4.4444)0.131858
0.2278 (4.3902)0.264392
0.2306 (4.3373)0.337843
0.2333 (4.2857)0.089994
0.2361 (4.2353)0.093451
0.2389 (4.186)0.006105
0.2417 (4.1379)0.606739
0.2444 (4.0909)0.027375
0.2472 (4.0449)0.054648
0.25 (4)0.004592
0.2528 (3.956)0.09
0.2556 (3.913)0.021421
0.2583 (3.871)0.261252
0.2611 (3.8298)0.04464
0.2639 (3.7895)0.28947
0.2667 (3.75)0.27068
0.2694 (3.7113)1.655357
0.2722 (3.6735)0.294395
0.275 (3.6364)0.392884
0.2778 (3.6)0.015829
0.2806 (3.5644)0.000397
0.2833 (3.5294)0.543873
0.2861 (3.4951)2.136163
0.2889 (3.4615)0.039783
0.2917 (3.4286)0.490759
0.2944 (3.3962)0.369474
0.2972 (3.3645)0.222406
0.3 (3.3333)0.173481
0.3028 (3.3028)0.195886
0.3056 (3.2727)0.359398
0.3083 (3.2432)0.2649
0.3111 (3.2143)0.226836
0.3139 (3.1858)0.436299
0.3167 (3.1579)0.061815
0.3194 (3.1304)0.03142
0.3222 (3.1034)0.405583
0.325 (3.0769)0.088371
0.3278 (3.0508)0.060779
0.3306 (3.0252)0.104547
0.3333 (3)0.011937
0.3361 (2.9752)0.009778
0.3389 (2.9508)0.006484
0.3417 (2.9268)0.105722
0.3444 (2.9032)0.019296
0.3472 (2.88)0.24176
0.35 (2.8571)0.798469
0.3528 (2.8346)0.294993
0.3556 (2.8125)0.430025
0.3583 (2.7907)0.779664
0.3611 (2.7692)0.65499
0.3639 (2.7481)2.288573
0.3667 (2.7273)0.201107
0.3694 (2.7068)0.191435
0.3722 (2.6866)0.802592
0.375 (2.6667)0.233989
0.3778 (2.6471)0.19575
0.3806 (2.6277)1.610827
0.3833 (2.6087)0.549775
0.3861 (2.5899)0.161451
0.3889 (2.5714)0.354275
0.3917 (2.5532)1.307463
0.3944 (2.5352)0.603217
0.3972 (2.5175)0.239315
0.4 (2.5)0.084609
0.4028 (2.4828)0.176629
0.4056 (2.4658)0.003185
0.4083 (2.449)0.044082
0.4111 (2.4324)0.224165
0.4139 (2.4161)0.047351
0.4167 (2.4)0.042456
0.4194 (2.3841)0.026332
0.4222 (2.3684)0.080139
0.425 (2.3529)0.058905
0.4278 (2.3377)0.066831
0.4306 (2.3226)0.532094
0.4333 (2.3077)0.373554
0.4361 (2.293)0.140335
0.4389 (2.2785)0.471006
0.4417 (2.2642)0.426858
0.4444 (2.25)0.189429
0.4472 (2.236)1.390214
0.45 (2.2222)0.202231
0.4528 (2.2086)0.829541
0.4556 (2.1951)3.228472
0.4583 (2.1818)0.946325
0.4611 (2.1687)0.399738
0.4639 (2.1557)0.484399
0.4667 (2.1429)0.737414
0.4694 (2.1302)0.040081
0.4722 (2.1176)4.504296
0.475 (2.1053)0.185938
0.4778 (2.093)0.636021
0.4806 (2.0809)1.093625
0.4833 (2.069)0.009939
0.4861 (2.0571)0.296251
0.4889 (2.0455)0.016461
0.4917 (2.0339)0.170725
0.4944 (2.0225)0.096335
0.4972 (2.0112)0.11861
0.5 (2)0.022229


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.4 ; par2 = 1 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 0.4 ; par2 = 1 ; 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')