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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 08:50:38 -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/t1228751586bqkzfvo9kuswgvx.htm/, Retrieved Thu, 16 May 2024 23:38:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30551, Retrieved Thu, 16 May 2024 23:38:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176

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] [e11d930c9e2984715c66c796cf63ef19] [Current]
-   P         [Spectral Analysis] [Spectrum Q1 goed] [2008-12-08 16:34:42] [547636b63517c1c2916a747d66b36ebf]
- 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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30551&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30551&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30551&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'George Udny Yule' @ 72.249.76.132






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0.4
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)2
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0028 (360)0.11464
0.0056 (180)0.194082
0.0083 (120)0.144491
0.0111 (90)0.612633
0.0139 (72)0.683451
0.0167 (60)0.351883
0.0194 (51.4286)6.86196
0.0222 (45)0.779482
0.025 (40)12.000951
0.0278 (36)6.683329
0.0306 (32.7273)0.391398
0.0333 (30)0.364853
0.0361 (27.6923)32.255694
0.0389 (25.7143)20.625231
0.0417 (24)5.363705
0.0444 (22.5)13.919407
0.0472 (21.1765)8.452045
0.05 (20)0.983218
0.0528 (18.9474)3.360298
0.0556 (18)4.416344
0.0583 (17.1429)4.194729
0.0611 (16.3636)3.079565
0.0639 (15.6522)1.73017
0.0667 (15)0.275776
0.0694 (14.4)0.011164
0.0722 (13.8462)0.006122
0.075 (13.3333)0.164726
0.0778 (12.8571)0.013379
0.0806 (12.4138)0.005491
0.0833 (12)0.004028
0.0861 (11.6129)0.013753
0.0889 (11.25)0.107943
0.0917 (10.9091)0.069038
0.0944 (10.5882)0.030721
0.0972 (10.2857)0.03905
0.1 (10)0.857941
0.1028 (9.7297)4.333341
0.1056 (9.4737)0.241001
0.1083 (9.2308)2.04425
0.1111 (9)0.042866
0.1139 (8.7805)2.556262
0.1167 (8.5714)2.311703
0.1194 (8.3721)1.233738
0.1222 (8.1818)1.63306
0.125 (8)3.35217
0.1278 (7.8261)2.197688
0.1306 (7.6596)0.431848
0.1333 (7.5)4.592207
0.1361 (7.3469)1.341185
0.1389 (7.2)0.566118
0.1417 (7.0588)1.903504
0.1444 (6.9231)0.938783
0.1472 (6.7925)0.908152
0.15 (6.6667)1.285434
0.1528 (6.5455)0.213381
0.1556 (6.4286)0.181822
0.1583 (6.3158)0.03492
0.1611 (6.2069)0.00101
0.1639 (6.1017)0.002138
0.1667 (6)0.006762
0.1694 (5.9016)0.003931
0.1722 (5.8065)0.028393
0.175 (5.7143)0.015907
0.1778 (5.625)0.069663
0.1806 (5.5385)0.190772
0.1833 (5.4545)0.295659
0.1861 (5.3731)0.036865
0.1889 (5.2941)1.003802
0.1917 (5.2174)0.383857
0.1944 (5.1429)5.180383
0.1972 (5.0704)0.224581
0.2 (5)1.83275
0.2028 (4.9315)4.328601
0.2056 (4.8649)7.866284
0.2083 (4.8)5.313504
0.2111 (4.7368)1.102534
0.2139 (4.6753)2.495913
0.2167 (4.6154)1.442623
0.2194 (4.557)1.711516
0.2222 (4.5)0.340999
0.225 (4.4444)0.264383
0.2278 (4.3902)0.707035
0.2306 (4.3373)0.535914
0.2333 (4.2857)0.13
0.2361 (4.2353)0.051121
0.2389 (4.186)8.2e-05
0.2417 (4.1379)0.270849
0.2444 (4.0909)0.006355
0.2472 (4.0449)0.001898
0.25 (4)0.004462
0.2528 (3.956)0.016992
0.2556 (3.913)0.011611
0.2583 (3.871)0.095558
0.2611 (3.8298)0.083997
0.2639 (3.7895)0.400145
0.2667 (3.75)0.326522
0.2694 (3.7113)3.030061
0.2722 (3.6735)0.658684
0.275 (3.6364)1.104751
0.2778 (3.6)0.08269
0.2806 (3.5644)0.044275
0.2833 (3.5294)1.817034
0.2861 (3.4951)7.251928
0.2889 (3.4615)0.071481
0.2917 (3.4286)1.796257
0.2944 (3.3962)1.443831
0.2972 (3.3645)0.847204
0.3 (3.3333)0.560082
0.3028 (3.3028)0.740477
0.3056 (3.2727)0.877212
0.3083 (3.2432)0.700136
0.3111 (3.2143)0.493447
0.3139 (3.1858)0.633779
0.3167 (3.1579)0.141415
0.3194 (3.1304)0.090379
0.3222 (3.1034)0.369493
0.325 (3.0769)0.029154
0.3278 (3.0508)0.016463
0.3306 (3.0252)0.002425
0.3333 (3)0.008744
0.3361 (2.9752)0.025462
0.3389 (2.9508)0.025447
0.3417 (2.9268)0.17099
0.3444 (2.9032)0.076529
0.3472 (2.88)0.502668
0.35 (2.8571)0.997052
0.3528 (2.8346)0.27393
0.3556 (2.8125)0.874936
0.3583 (2.7907)1.802731
0.3611 (2.7692)2.096925
0.3639 (2.7481)6.901372
0.3667 (2.7273)0.503117
0.3694 (2.7068)0.406269
0.3722 (2.6866)3.410945
0.375 (2.6667)1.140934
0.3778 (2.6471)0.906945
0.3806 (2.6277)5.787125
0.3833 (2.6087)1.756046
0.3861 (2.5899)0.835853
0.3889 (2.5714)0.940852
0.3917 (2.5532)3.416201
0.3944 (2.5352)1.650881
0.3972 (2.5175)0.331558
0.4 (2.5)0.096004
0.4028 (2.4828)0.222689
0.4056 (2.4658)0.015749
0.4083 (2.449)0.002444
0.4111 (2.4324)0.044841
0.4139 (2.4161)0.008858
0.4167 (2.4)0.009625
0.4194 (2.3841)0.020455
0.4222 (2.3684)0.037773
0.425 (2.3529)0.017348
0.4278 (2.3377)0.121453
0.4306 (2.3226)0.424913
0.4333 (2.3077)0.710954
0.4361 (2.293)0.143652
0.4389 (2.2785)0.871158
0.4417 (2.2642)1.031371
0.4444 (2.25)0.626506
0.4472 (2.236)4.768488
0.45 (2.2222)0.959281
0.4528 (2.2086)3.36383
0.4556 (2.1951)12.148018
0.4583 (2.1818)4.319589
0.4611 (2.1687)1.435545
0.4639 (2.1557)2.059599
0.4667 (2.1429)2.925464
0.4694 (2.1302)0.21638
0.4722 (2.1176)12.902009
0.475 (2.1053)0.705198
0.4778 (2.093)1.068825
0.4806 (2.0809)2.253315
0.4833 (2.069)0.056118
0.4861 (2.0571)0.416503
0.4889 (2.0455)0.019021
0.4917 (2.0339)0.058083
0.4944 (2.0225)0.020487
0.4972 (2.0112)0.024058
0.5 (2)0.011839

\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) & 2 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0028 (360) & 0.11464 \tabularnewline
0.0056 (180) & 0.194082 \tabularnewline
0.0083 (120) & 0.144491 \tabularnewline
0.0111 (90) & 0.612633 \tabularnewline
0.0139 (72) & 0.683451 \tabularnewline
0.0167 (60) & 0.351883 \tabularnewline
0.0194 (51.4286) & 6.86196 \tabularnewline
0.0222 (45) & 0.779482 \tabularnewline
0.025 (40) & 12.000951 \tabularnewline
0.0278 (36) & 6.683329 \tabularnewline
0.0306 (32.7273) & 0.391398 \tabularnewline
0.0333 (30) & 0.364853 \tabularnewline
0.0361 (27.6923) & 32.255694 \tabularnewline
0.0389 (25.7143) & 20.625231 \tabularnewline
0.0417 (24) & 5.363705 \tabularnewline
0.0444 (22.5) & 13.919407 \tabularnewline
0.0472 (21.1765) & 8.452045 \tabularnewline
0.05 (20) & 0.983218 \tabularnewline
0.0528 (18.9474) & 3.360298 \tabularnewline
0.0556 (18) & 4.416344 \tabularnewline
0.0583 (17.1429) & 4.194729 \tabularnewline
0.0611 (16.3636) & 3.079565 \tabularnewline
0.0639 (15.6522) & 1.73017 \tabularnewline
0.0667 (15) & 0.275776 \tabularnewline
0.0694 (14.4) & 0.011164 \tabularnewline
0.0722 (13.8462) & 0.006122 \tabularnewline
0.075 (13.3333) & 0.164726 \tabularnewline
0.0778 (12.8571) & 0.013379 \tabularnewline
0.0806 (12.4138) & 0.005491 \tabularnewline
0.0833 (12) & 0.004028 \tabularnewline
0.0861 (11.6129) & 0.013753 \tabularnewline
0.0889 (11.25) & 0.107943 \tabularnewline
0.0917 (10.9091) & 0.069038 \tabularnewline
0.0944 (10.5882) & 0.030721 \tabularnewline
0.0972 (10.2857) & 0.03905 \tabularnewline
0.1 (10) & 0.857941 \tabularnewline
0.1028 (9.7297) & 4.333341 \tabularnewline
0.1056 (9.4737) & 0.241001 \tabularnewline
0.1083 (9.2308) & 2.04425 \tabularnewline
0.1111 (9) & 0.042866 \tabularnewline
0.1139 (8.7805) & 2.556262 \tabularnewline
0.1167 (8.5714) & 2.311703 \tabularnewline
0.1194 (8.3721) & 1.233738 \tabularnewline
0.1222 (8.1818) & 1.63306 \tabularnewline
0.125 (8) & 3.35217 \tabularnewline
0.1278 (7.8261) & 2.197688 \tabularnewline
0.1306 (7.6596) & 0.431848 \tabularnewline
0.1333 (7.5) & 4.592207 \tabularnewline
0.1361 (7.3469) & 1.341185 \tabularnewline
0.1389 (7.2) & 0.566118 \tabularnewline
0.1417 (7.0588) & 1.903504 \tabularnewline
0.1444 (6.9231) & 0.938783 \tabularnewline
0.1472 (6.7925) & 0.908152 \tabularnewline
0.15 (6.6667) & 1.285434 \tabularnewline
0.1528 (6.5455) & 0.213381 \tabularnewline
0.1556 (6.4286) & 0.181822 \tabularnewline
0.1583 (6.3158) & 0.03492 \tabularnewline
0.1611 (6.2069) & 0.00101 \tabularnewline
0.1639 (6.1017) & 0.002138 \tabularnewline
0.1667 (6) & 0.006762 \tabularnewline
0.1694 (5.9016) & 0.003931 \tabularnewline
0.1722 (5.8065) & 0.028393 \tabularnewline
0.175 (5.7143) & 0.015907 \tabularnewline
0.1778 (5.625) & 0.069663 \tabularnewline
0.1806 (5.5385) & 0.190772 \tabularnewline
0.1833 (5.4545) & 0.295659 \tabularnewline
0.1861 (5.3731) & 0.036865 \tabularnewline
0.1889 (5.2941) & 1.003802 \tabularnewline
0.1917 (5.2174) & 0.383857 \tabularnewline
0.1944 (5.1429) & 5.180383 \tabularnewline
0.1972 (5.0704) & 0.224581 \tabularnewline
0.2 (5) & 1.83275 \tabularnewline
0.2028 (4.9315) & 4.328601 \tabularnewline
0.2056 (4.8649) & 7.866284 \tabularnewline
0.2083 (4.8) & 5.313504 \tabularnewline
0.2111 (4.7368) & 1.102534 \tabularnewline
0.2139 (4.6753) & 2.495913 \tabularnewline
0.2167 (4.6154) & 1.442623 \tabularnewline
0.2194 (4.557) & 1.711516 \tabularnewline
0.2222 (4.5) & 0.340999 \tabularnewline
0.225 (4.4444) & 0.264383 \tabularnewline
0.2278 (4.3902) & 0.707035 \tabularnewline
0.2306 (4.3373) & 0.535914 \tabularnewline
0.2333 (4.2857) & 0.13 \tabularnewline
0.2361 (4.2353) & 0.051121 \tabularnewline
0.2389 (4.186) & 8.2e-05 \tabularnewline
0.2417 (4.1379) & 0.270849 \tabularnewline
0.2444 (4.0909) & 0.006355 \tabularnewline
0.2472 (4.0449) & 0.001898 \tabularnewline
0.25 (4) & 0.004462 \tabularnewline
0.2528 (3.956) & 0.016992 \tabularnewline
0.2556 (3.913) & 0.011611 \tabularnewline
0.2583 (3.871) & 0.095558 \tabularnewline
0.2611 (3.8298) & 0.083997 \tabularnewline
0.2639 (3.7895) & 0.400145 \tabularnewline
0.2667 (3.75) & 0.326522 \tabularnewline
0.2694 (3.7113) & 3.030061 \tabularnewline
0.2722 (3.6735) & 0.658684 \tabularnewline
0.275 (3.6364) & 1.104751 \tabularnewline
0.2778 (3.6) & 0.08269 \tabularnewline
0.2806 (3.5644) & 0.044275 \tabularnewline
0.2833 (3.5294) & 1.817034 \tabularnewline
0.2861 (3.4951) & 7.251928 \tabularnewline
0.2889 (3.4615) & 0.071481 \tabularnewline
0.2917 (3.4286) & 1.796257 \tabularnewline
0.2944 (3.3962) & 1.443831 \tabularnewline
0.2972 (3.3645) & 0.847204 \tabularnewline
0.3 (3.3333) & 0.560082 \tabularnewline
0.3028 (3.3028) & 0.740477 \tabularnewline
0.3056 (3.2727) & 0.877212 \tabularnewline
0.3083 (3.2432) & 0.700136 \tabularnewline
0.3111 (3.2143) & 0.493447 \tabularnewline
0.3139 (3.1858) & 0.633779 \tabularnewline
0.3167 (3.1579) & 0.141415 \tabularnewline
0.3194 (3.1304) & 0.090379 \tabularnewline
0.3222 (3.1034) & 0.369493 \tabularnewline
0.325 (3.0769) & 0.029154 \tabularnewline
0.3278 (3.0508) & 0.016463 \tabularnewline
0.3306 (3.0252) & 0.002425 \tabularnewline
0.3333 (3) & 0.008744 \tabularnewline
0.3361 (2.9752) & 0.025462 \tabularnewline
0.3389 (2.9508) & 0.025447 \tabularnewline
0.3417 (2.9268) & 0.17099 \tabularnewline
0.3444 (2.9032) & 0.076529 \tabularnewline
0.3472 (2.88) & 0.502668 \tabularnewline
0.35 (2.8571) & 0.997052 \tabularnewline
0.3528 (2.8346) & 0.27393 \tabularnewline
0.3556 (2.8125) & 0.874936 \tabularnewline
0.3583 (2.7907) & 1.802731 \tabularnewline
0.3611 (2.7692) & 2.096925 \tabularnewline
0.3639 (2.7481) & 6.901372 \tabularnewline
0.3667 (2.7273) & 0.503117 \tabularnewline
0.3694 (2.7068) & 0.406269 \tabularnewline
0.3722 (2.6866) & 3.410945 \tabularnewline
0.375 (2.6667) & 1.140934 \tabularnewline
0.3778 (2.6471) & 0.906945 \tabularnewline
0.3806 (2.6277) & 5.787125 \tabularnewline
0.3833 (2.6087) & 1.756046 \tabularnewline
0.3861 (2.5899) & 0.835853 \tabularnewline
0.3889 (2.5714) & 0.940852 \tabularnewline
0.3917 (2.5532) & 3.416201 \tabularnewline
0.3944 (2.5352) & 1.650881 \tabularnewline
0.3972 (2.5175) & 0.331558 \tabularnewline
0.4 (2.5) & 0.096004 \tabularnewline
0.4028 (2.4828) & 0.222689 \tabularnewline
0.4056 (2.4658) & 0.015749 \tabularnewline
0.4083 (2.449) & 0.002444 \tabularnewline
0.4111 (2.4324) & 0.044841 \tabularnewline
0.4139 (2.4161) & 0.008858 \tabularnewline
0.4167 (2.4) & 0.009625 \tabularnewline
0.4194 (2.3841) & 0.020455 \tabularnewline
0.4222 (2.3684) & 0.037773 \tabularnewline
0.425 (2.3529) & 0.017348 \tabularnewline
0.4278 (2.3377) & 0.121453 \tabularnewline
0.4306 (2.3226) & 0.424913 \tabularnewline
0.4333 (2.3077) & 0.710954 \tabularnewline
0.4361 (2.293) & 0.143652 \tabularnewline
0.4389 (2.2785) & 0.871158 \tabularnewline
0.4417 (2.2642) & 1.031371 \tabularnewline
0.4444 (2.25) & 0.626506 \tabularnewline
0.4472 (2.236) & 4.768488 \tabularnewline
0.45 (2.2222) & 0.959281 \tabularnewline
0.4528 (2.2086) & 3.36383 \tabularnewline
0.4556 (2.1951) & 12.148018 \tabularnewline
0.4583 (2.1818) & 4.319589 \tabularnewline
0.4611 (2.1687) & 1.435545 \tabularnewline
0.4639 (2.1557) & 2.059599 \tabularnewline
0.4667 (2.1429) & 2.925464 \tabularnewline
0.4694 (2.1302) & 0.21638 \tabularnewline
0.4722 (2.1176) & 12.902009 \tabularnewline
0.475 (2.1053) & 0.705198 \tabularnewline
0.4778 (2.093) & 1.068825 \tabularnewline
0.4806 (2.0809) & 2.253315 \tabularnewline
0.4833 (2.069) & 0.056118 \tabularnewline
0.4861 (2.0571) & 0.416503 \tabularnewline
0.4889 (2.0455) & 0.019021 \tabularnewline
0.4917 (2.0339) & 0.058083 \tabularnewline
0.4944 (2.0225) & 0.020487 \tabularnewline
0.4972 (2.0112) & 0.024058 \tabularnewline
0.5 (2) & 0.011839 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30551&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]2[/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]0.11464[/C][/ROW]
[ROW][C]0.0056 (180)[/C][C]0.194082[/C][/ROW]
[ROW][C]0.0083 (120)[/C][C]0.144491[/C][/ROW]
[ROW][C]0.0111 (90)[/C][C]0.612633[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]0.683451[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]0.351883[/C][/ROW]
[ROW][C]0.0194 (51.4286)[/C][C]6.86196[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]0.779482[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]12.000951[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]6.683329[/C][/ROW]
[ROW][C]0.0306 (32.7273)[/C][C]0.391398[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]0.364853[/C][/ROW]
[ROW][C]0.0361 (27.6923)[/C][C]32.255694[/C][/ROW]
[ROW][C]0.0389 (25.7143)[/C][C]20.625231[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]5.363705[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]13.919407[/C][/ROW]
[ROW][C]0.0472 (21.1765)[/C][C]8.452045[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]0.983218[/C][/ROW]
[ROW][C]0.0528 (18.9474)[/C][C]3.360298[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]4.416344[/C][/ROW]
[ROW][C]0.0583 (17.1429)[/C][C]4.194729[/C][/ROW]
[ROW][C]0.0611 (16.3636)[/C][C]3.079565[/C][/ROW]
[ROW][C]0.0639 (15.6522)[/C][C]1.73017[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]0.275776[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]0.011164[/C][/ROW]
[ROW][C]0.0722 (13.8462)[/C][C]0.006122[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]0.164726[/C][/ROW]
[ROW][C]0.0778 (12.8571)[/C][C]0.013379[/C][/ROW]
[ROW][C]0.0806 (12.4138)[/C][C]0.005491[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]0.004028[/C][/ROW]
[ROW][C]0.0861 (11.6129)[/C][C]0.013753[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]0.107943[/C][/ROW]
[ROW][C]0.0917 (10.9091)[/C][C]0.069038[/C][/ROW]
[ROW][C]0.0944 (10.5882)[/C][C]0.030721[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]0.03905[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]0.857941[/C][/ROW]
[ROW][C]0.1028 (9.7297)[/C][C]4.333341[/C][/ROW]
[ROW][C]0.1056 (9.4737)[/C][C]0.241001[/C][/ROW]
[ROW][C]0.1083 (9.2308)[/C][C]2.04425[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]0.042866[/C][/ROW]
[ROW][C]0.1139 (8.7805)[/C][C]2.556262[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]2.311703[/C][/ROW]
[ROW][C]0.1194 (8.3721)[/C][C]1.233738[/C][/ROW]
[ROW][C]0.1222 (8.1818)[/C][C]1.63306[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]3.35217[/C][/ROW]
[ROW][C]0.1278 (7.8261)[/C][C]2.197688[/C][/ROW]
[ROW][C]0.1306 (7.6596)[/C][C]0.431848[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]4.592207[/C][/ROW]
[ROW][C]0.1361 (7.3469)[/C][C]1.341185[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]0.566118[/C][/ROW]
[ROW][C]0.1417 (7.0588)[/C][C]1.903504[/C][/ROW]
[ROW][C]0.1444 (6.9231)[/C][C]0.938783[/C][/ROW]
[ROW][C]0.1472 (6.7925)[/C][C]0.908152[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]1.285434[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]0.213381[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]0.181822[/C][/ROW]
[ROW][C]0.1583 (6.3158)[/C][C]0.03492[/C][/ROW]
[ROW][C]0.1611 (6.2069)[/C][C]0.00101[/C][/ROW]
[ROW][C]0.1639 (6.1017)[/C][C]0.002138[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0.006762[/C][/ROW]
[ROW][C]0.1694 (5.9016)[/C][C]0.003931[/C][/ROW]
[ROW][C]0.1722 (5.8065)[/C][C]0.028393[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]0.015907[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]0.069663[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]0.190772[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]0.295659[/C][/ROW]
[ROW][C]0.1861 (5.3731)[/C][C]0.036865[/C][/ROW]
[ROW][C]0.1889 (5.2941)[/C][C]1.003802[/C][/ROW]
[ROW][C]0.1917 (5.2174)[/C][C]0.383857[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]5.180383[/C][/ROW]
[ROW][C]0.1972 (5.0704)[/C][C]0.224581[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]1.83275[/C][/ROW]
[ROW][C]0.2028 (4.9315)[/C][C]4.328601[/C][/ROW]
[ROW][C]0.2056 (4.8649)[/C][C]7.866284[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]5.313504[/C][/ROW]
[ROW][C]0.2111 (4.7368)[/C][C]1.102534[/C][/ROW]
[ROW][C]0.2139 (4.6753)[/C][C]2.495913[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]1.442623[/C][/ROW]
[ROW][C]0.2194 (4.557)[/C][C]1.711516[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]0.340999[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]0.264383[/C][/ROW]
[ROW][C]0.2278 (4.3902)[/C][C]0.707035[/C][/ROW]
[ROW][C]0.2306 (4.3373)[/C][C]0.535914[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]0.13[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]0.051121[/C][/ROW]
[ROW][C]0.2389 (4.186)[/C][C]8.2e-05[/C][/ROW]
[ROW][C]0.2417 (4.1379)[/C][C]0.270849[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]0.006355[/C][/ROW]
[ROW][C]0.2472 (4.0449)[/C][C]0.001898[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.004462[/C][/ROW]
[ROW][C]0.2528 (3.956)[/C][C]0.016992[/C][/ROW]
[ROW][C]0.2556 (3.913)[/C][C]0.011611[/C][/ROW]
[ROW][C]0.2583 (3.871)[/C][C]0.095558[/C][/ROW]
[ROW][C]0.2611 (3.8298)[/C][C]0.083997[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]0.400145[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]0.326522[/C][/ROW]
[ROW][C]0.2694 (3.7113)[/C][C]3.030061[/C][/ROW]
[ROW][C]0.2722 (3.6735)[/C][C]0.658684[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]1.104751[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]0.08269[/C][/ROW]
[ROW][C]0.2806 (3.5644)[/C][C]0.044275[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]1.817034[/C][/ROW]
[ROW][C]0.2861 (3.4951)[/C][C]7.251928[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]0.071481[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]1.796257[/C][/ROW]
[ROW][C]0.2944 (3.3962)[/C][C]1.443831[/C][/ROW]
[ROW][C]0.2972 (3.3645)[/C][C]0.847204[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]0.560082[/C][/ROW]
[ROW][C]0.3028 (3.3028)[/C][C]0.740477[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]0.877212[/C][/ROW]
[ROW][C]0.3083 (3.2432)[/C][C]0.700136[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]0.493447[/C][/ROW]
[ROW][C]0.3139 (3.1858)[/C][C]0.633779[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]0.141415[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]0.090379[/C][/ROW]
[ROW][C]0.3222 (3.1034)[/C][C]0.369493[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]0.029154[/C][/ROW]
[ROW][C]0.3278 (3.0508)[/C][C]0.016463[/C][/ROW]
[ROW][C]0.3306 (3.0252)[/C][C]0.002425[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.008744[/C][/ROW]
[ROW][C]0.3361 (2.9752)[/C][C]0.025462[/C][/ROW]
[ROW][C]0.3389 (2.9508)[/C][C]0.025447[/C][/ROW]
[ROW][C]0.3417 (2.9268)[/C][C]0.17099[/C][/ROW]
[ROW][C]0.3444 (2.9032)[/C][C]0.076529[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]0.502668[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]0.997052[/C][/ROW]
[ROW][C]0.3528 (2.8346)[/C][C]0.27393[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]0.874936[/C][/ROW]
[ROW][C]0.3583 (2.7907)[/C][C]1.802731[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]2.096925[/C][/ROW]
[ROW][C]0.3639 (2.7481)[/C][C]6.901372[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]0.503117[/C][/ROW]
[ROW][C]0.3694 (2.7068)[/C][C]0.406269[/C][/ROW]
[ROW][C]0.3722 (2.6866)[/C][C]3.410945[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]1.140934[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]0.906945[/C][/ROW]
[ROW][C]0.3806 (2.6277)[/C][C]5.787125[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]1.756046[/C][/ROW]
[ROW][C]0.3861 (2.5899)[/C][C]0.835853[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]0.940852[/C][/ROW]
[ROW][C]0.3917 (2.5532)[/C][C]3.416201[/C][/ROW]
[ROW][C]0.3944 (2.5352)[/C][C]1.650881[/C][/ROW]
[ROW][C]0.3972 (2.5175)[/C][C]0.331558[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]0.096004[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]0.222689[/C][/ROW]
[ROW][C]0.4056 (2.4658)[/C][C]0.015749[/C][/ROW]
[ROW][C]0.4083 (2.449)[/C][C]0.002444[/C][/ROW]
[ROW][C]0.4111 (2.4324)[/C][C]0.044841[/C][/ROW]
[ROW][C]0.4139 (2.4161)[/C][C]0.008858[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0.009625[/C][/ROW]
[ROW][C]0.4194 (2.3841)[/C][C]0.020455[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]0.037773[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]0.017348[/C][/ROW]
[ROW][C]0.4278 (2.3377)[/C][C]0.121453[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]0.424913[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]0.710954[/C][/ROW]
[ROW][C]0.4361 (2.293)[/C][C]0.143652[/C][/ROW]
[ROW][C]0.4389 (2.2785)[/C][C]0.871158[/C][/ROW]
[ROW][C]0.4417 (2.2642)[/C][C]1.031371[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]0.626506[/C][/ROW]
[ROW][C]0.4472 (2.236)[/C][C]4.768488[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]0.959281[/C][/ROW]
[ROW][C]0.4528 (2.2086)[/C][C]3.36383[/C][/ROW]
[ROW][C]0.4556 (2.1951)[/C][C]12.148018[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]4.319589[/C][/ROW]
[ROW][C]0.4611 (2.1687)[/C][C]1.435545[/C][/ROW]
[ROW][C]0.4639 (2.1557)[/C][C]2.059599[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]2.925464[/C][/ROW]
[ROW][C]0.4694 (2.1302)[/C][C]0.21638[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]12.902009[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]0.705198[/C][/ROW]
[ROW][C]0.4778 (2.093)[/C][C]1.068825[/C][/ROW]
[ROW][C]0.4806 (2.0809)[/C][C]2.253315[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]0.056118[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]0.416503[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]0.019021[/C][/ROW]
[ROW][C]0.4917 (2.0339)[/C][C]0.058083[/C][/ROW]
[ROW][C]0.4944 (2.0225)[/C][C]0.020487[/C][/ROW]
[ROW][C]0.4972 (2.0112)[/C][C]0.024058[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.011839[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30551&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30551&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)2
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0028 (360)0.11464
0.0056 (180)0.194082
0.0083 (120)0.144491
0.0111 (90)0.612633
0.0139 (72)0.683451
0.0167 (60)0.351883
0.0194 (51.4286)6.86196
0.0222 (45)0.779482
0.025 (40)12.000951
0.0278 (36)6.683329
0.0306 (32.7273)0.391398
0.0333 (30)0.364853
0.0361 (27.6923)32.255694
0.0389 (25.7143)20.625231
0.0417 (24)5.363705
0.0444 (22.5)13.919407
0.0472 (21.1765)8.452045
0.05 (20)0.983218
0.0528 (18.9474)3.360298
0.0556 (18)4.416344
0.0583 (17.1429)4.194729
0.0611 (16.3636)3.079565
0.0639 (15.6522)1.73017
0.0667 (15)0.275776
0.0694 (14.4)0.011164
0.0722 (13.8462)0.006122
0.075 (13.3333)0.164726
0.0778 (12.8571)0.013379
0.0806 (12.4138)0.005491
0.0833 (12)0.004028
0.0861 (11.6129)0.013753
0.0889 (11.25)0.107943
0.0917 (10.9091)0.069038
0.0944 (10.5882)0.030721
0.0972 (10.2857)0.03905
0.1 (10)0.857941
0.1028 (9.7297)4.333341
0.1056 (9.4737)0.241001
0.1083 (9.2308)2.04425
0.1111 (9)0.042866
0.1139 (8.7805)2.556262
0.1167 (8.5714)2.311703
0.1194 (8.3721)1.233738
0.1222 (8.1818)1.63306
0.125 (8)3.35217
0.1278 (7.8261)2.197688
0.1306 (7.6596)0.431848
0.1333 (7.5)4.592207
0.1361 (7.3469)1.341185
0.1389 (7.2)0.566118
0.1417 (7.0588)1.903504
0.1444 (6.9231)0.938783
0.1472 (6.7925)0.908152
0.15 (6.6667)1.285434
0.1528 (6.5455)0.213381
0.1556 (6.4286)0.181822
0.1583 (6.3158)0.03492
0.1611 (6.2069)0.00101
0.1639 (6.1017)0.002138
0.1667 (6)0.006762
0.1694 (5.9016)0.003931
0.1722 (5.8065)0.028393
0.175 (5.7143)0.015907
0.1778 (5.625)0.069663
0.1806 (5.5385)0.190772
0.1833 (5.4545)0.295659
0.1861 (5.3731)0.036865
0.1889 (5.2941)1.003802
0.1917 (5.2174)0.383857
0.1944 (5.1429)5.180383
0.1972 (5.0704)0.224581
0.2 (5)1.83275
0.2028 (4.9315)4.328601
0.2056 (4.8649)7.866284
0.2083 (4.8)5.313504
0.2111 (4.7368)1.102534
0.2139 (4.6753)2.495913
0.2167 (4.6154)1.442623
0.2194 (4.557)1.711516
0.2222 (4.5)0.340999
0.225 (4.4444)0.264383
0.2278 (4.3902)0.707035
0.2306 (4.3373)0.535914
0.2333 (4.2857)0.13
0.2361 (4.2353)0.051121
0.2389 (4.186)8.2e-05
0.2417 (4.1379)0.270849
0.2444 (4.0909)0.006355
0.2472 (4.0449)0.001898
0.25 (4)0.004462
0.2528 (3.956)0.016992
0.2556 (3.913)0.011611
0.2583 (3.871)0.095558
0.2611 (3.8298)0.083997
0.2639 (3.7895)0.400145
0.2667 (3.75)0.326522
0.2694 (3.7113)3.030061
0.2722 (3.6735)0.658684
0.275 (3.6364)1.104751
0.2778 (3.6)0.08269
0.2806 (3.5644)0.044275
0.2833 (3.5294)1.817034
0.2861 (3.4951)7.251928
0.2889 (3.4615)0.071481
0.2917 (3.4286)1.796257
0.2944 (3.3962)1.443831
0.2972 (3.3645)0.847204
0.3 (3.3333)0.560082
0.3028 (3.3028)0.740477
0.3056 (3.2727)0.877212
0.3083 (3.2432)0.700136
0.3111 (3.2143)0.493447
0.3139 (3.1858)0.633779
0.3167 (3.1579)0.141415
0.3194 (3.1304)0.090379
0.3222 (3.1034)0.369493
0.325 (3.0769)0.029154
0.3278 (3.0508)0.016463
0.3306 (3.0252)0.002425
0.3333 (3)0.008744
0.3361 (2.9752)0.025462
0.3389 (2.9508)0.025447
0.3417 (2.9268)0.17099
0.3444 (2.9032)0.076529
0.3472 (2.88)0.502668
0.35 (2.8571)0.997052
0.3528 (2.8346)0.27393
0.3556 (2.8125)0.874936
0.3583 (2.7907)1.802731
0.3611 (2.7692)2.096925
0.3639 (2.7481)6.901372
0.3667 (2.7273)0.503117
0.3694 (2.7068)0.406269
0.3722 (2.6866)3.410945
0.375 (2.6667)1.140934
0.3778 (2.6471)0.906945
0.3806 (2.6277)5.787125
0.3833 (2.6087)1.756046
0.3861 (2.5899)0.835853
0.3889 (2.5714)0.940852
0.3917 (2.5532)3.416201
0.3944 (2.5352)1.650881
0.3972 (2.5175)0.331558
0.4 (2.5)0.096004
0.4028 (2.4828)0.222689
0.4056 (2.4658)0.015749
0.4083 (2.449)0.002444
0.4111 (2.4324)0.044841
0.4139 (2.4161)0.008858
0.4167 (2.4)0.009625
0.4194 (2.3841)0.020455
0.4222 (2.3684)0.037773
0.425 (2.3529)0.017348
0.4278 (2.3377)0.121453
0.4306 (2.3226)0.424913
0.4333 (2.3077)0.710954
0.4361 (2.293)0.143652
0.4389 (2.2785)0.871158
0.4417 (2.2642)1.031371
0.4444 (2.25)0.626506
0.4472 (2.236)4.768488
0.45 (2.2222)0.959281
0.4528 (2.2086)3.36383
0.4556 (2.1951)12.148018
0.4583 (2.1818)4.319589
0.4611 (2.1687)1.435545
0.4639 (2.1557)2.059599
0.4667 (2.1429)2.925464
0.4694 (2.1302)0.21638
0.4722 (2.1176)12.902009
0.475 (2.1053)0.705198
0.4778 (2.093)1.068825
0.4806 (2.0809)2.253315
0.4833 (2.069)0.056118
0.4861 (2.0571)0.416503
0.4889 (2.0455)0.019021
0.4917 (2.0339)0.058083
0.4944 (2.0225)0.020487
0.4972 (2.0112)0.024058
0.5 (2)0.011839


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.4 ; par2 = 1 ; par3 = 2 ; par4 = 12 ;
Parameters (R input):
par1 = 0.4 ; par2 = 1 ; par3 = 2 ; 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')