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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 computationWed, 10 Dec 2008 13:01:55 -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/10/t1228939530dnumhvn4lh1clj8.htm/, Retrieved Fri, 17 May 2024 04:10:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32083, Retrieved Fri, 17 May 2024 04:10:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [] [2008-12-10 20:01:55] [19ef54504342c1b076371d395a2ab19f] [Current]
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Dataseries X:
451
450
444
429
421
400
389
384
432
446
431
423
416
416
413
399
386
374
365
365
418
428
424
421
417
423
423
419
406
398
390
391
444
460
455
456
452
459
461
451
443
439
430
436
488
506
502
501
501
515
521
520
512
509
505
511
570
592
594
586
586
592
594
586
572
563
555
554
601
622
617
606
595
599
600
592
575
567
555
555
608
631
629
624
610
616
621
604
584
574
555
545
599
620
608
590
579
580
579
572
560
551
537
541
588
607
599
578
563
566
561
554
540
526
512
505
554
584
569
540
522
526
527
516
503
489
479
475
524
552
532
511
492
492
493
481
462
457
442
439
488
521
501
485
464
460
467
460
448
443
436
431
484
510
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32083&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32083&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32083&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0042 (240)20.924246
0.0083 (120)322.947367
0.0125 (80)23.01426
0.0167 (60)48.777432
0.0208 (48)46.059202
0.025 (40)14.207966
0.0292 (34.2857)11.512462
0.0333 (30)121.42647
0.0375 (26.6667)96.945323
0.0417 (24)111.216702
0.0458 (21.8182)157.081415
0.05 (20)16.69875
0.0542 (18.4615)81.399185
0.0583 (17.1429)30.50903
0.0625 (16)14.388084
0.0667 (15)7.209975
0.0708 (14.1176)24.971348
0.075 (13.3333)3.549056
0.0792 (12.6316)1.061459
0.0833 (12)6.255421
0.0875 (11.4286)10.239074
0.0917 (10.9091)8.543288
0.0958 (10.4348)5.238719
0.1 (10)33.738125
0.1042 (9.6)38.498867
0.1083 (9.2308)11.262769
0.1125 (8.8889)24.176412
0.1167 (8.5714)15.774674
0.1208 (8.2759)38.328764
0.125 (8)3.475877
0.1292 (7.7419)11.191254
0.1333 (7.5)114.974659
0.1375 (7.2727)99.637482
0.1417 (7.0588)119.369152
0.1458 (6.8571)30.547952
0.15 (6.6667)21.889543
0.1542 (6.4865)7.03813
0.1583 (6.3158)15.693948
0.1625 (6.1538)25.368495
0.1667 (6)4.299724
0.1708 (5.8537)4.122029
0.175 (5.7143)9.44585
0.1792 (5.5814)2.46155
0.1833 (5.4545)25.035444
0.1875 (5.3333)30.409165
0.1917 (5.2174)35.86294
0.1958 (5.1064)51.289911
0.2 (5)8.477384
0.2042 (4.898)1.716114
0.2083 (4.8)1.809125
0.2125 (4.7059)170.593949
0.2167 (4.6154)194.291639
0.2208 (4.5283)79.57787
0.225 (4.4444)32.402021
0.2292 (4.3636)10.097188
0.2333 (4.2857)33.067188
0.2375 (4.2105)47.570345
0.2417 (4.1379)24.491722
0.2458 (4.0678)25.128723
0.25 (4)2.421601
0.2542 (3.9344)6.394027
0.2583 (3.871)36.407844
0.2625 (3.8095)20.540618
0.2667 (3.75)13.301919
0.2708 (3.6923)57.974898
0.275 (3.6364)12.681945
0.2792 (3.5821)73.917861
0.2833 (3.5294)29.84842
0.2875 (3.4783)73.269066
0.2917 (3.4286)31.901109
0.2958 (3.3803)128.631574
0.3 (3.3333)46.328224
0.3042 (3.2877)21.603924
0.3083 (3.2432)56.218223
0.3125 (3.2)85.005623
0.3167 (3.1579)5.13896
0.3208 (3.1169)12.404039
0.325 (3.0769)1.546621
0.3292 (3.038)10.541946
0.3333 (3)2.68259
0.3375 (2.963)0.10734
0.3417 (2.9268)58.536368
0.3458 (2.8916)164.152051
0.35 (2.8571)34.411282
0.3542 (2.8235)93.716933
0.3583 (2.7907)1.115254
0.3625 (2.7586)0.457421
0.3667 (2.7273)3.37103
0.3708 (2.6966)92.490829
0.375 (2.6667)76.577492
0.3792 (2.6374)14.200976
0.3833 (2.6087)33.468898
0.3875 (2.5806)14.281467
0.3917 (2.5532)38.842649
0.3958 (2.5263)37.974239
0.4 (2.5)12.485358
0.4042 (2.4742)10.832693
0.4083 (2.449)2.630152
0.4125 (2.4242)0.255648
0.4167 (2.4)0.599695
0.4208 (2.3762)13.407205
0.425 (2.3529)22.369191
0.4292 (2.3301)11.806579
0.4333 (2.3077)20.004577
0.4375 (2.2857)67.563963
0.4417 (2.2642)112.674629
0.4458 (2.243)106.476659
0.45 (2.2222)20.47319
0.4542 (2.2018)37.982104
0.4583 (2.1818)5.113187
0.4625 (2.1622)19.664151
0.4667 (2.1429)59.205662
0.4708 (2.1239)28.078291
0.475 (2.1053)40.828489
0.4792 (2.087)88.153939
0.4833 (2.069)27.413411
0.4875 (2.0513)4.078206
0.4917 (2.0339)7.183495
0.4958 (2.0168)9.038878
0.5 (2)0.082428

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 1 \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
0.0042 (240) & 20.924246 \tabularnewline
0.0083 (120) & 322.947367 \tabularnewline
0.0125 (80) & 23.01426 \tabularnewline
0.0167 (60) & 48.777432 \tabularnewline
0.0208 (48) & 46.059202 \tabularnewline
0.025 (40) & 14.207966 \tabularnewline
0.0292 (34.2857) & 11.512462 \tabularnewline
0.0333 (30) & 121.42647 \tabularnewline
0.0375 (26.6667) & 96.945323 \tabularnewline
0.0417 (24) & 111.216702 \tabularnewline
0.0458 (21.8182) & 157.081415 \tabularnewline
0.05 (20) & 16.69875 \tabularnewline
0.0542 (18.4615) & 81.399185 \tabularnewline
0.0583 (17.1429) & 30.50903 \tabularnewline
0.0625 (16) & 14.388084 \tabularnewline
0.0667 (15) & 7.209975 \tabularnewline
0.0708 (14.1176) & 24.971348 \tabularnewline
0.075 (13.3333) & 3.549056 \tabularnewline
0.0792 (12.6316) & 1.061459 \tabularnewline
0.0833 (12) & 6.255421 \tabularnewline
0.0875 (11.4286) & 10.239074 \tabularnewline
0.0917 (10.9091) & 8.543288 \tabularnewline
0.0958 (10.4348) & 5.238719 \tabularnewline
0.1 (10) & 33.738125 \tabularnewline
0.1042 (9.6) & 38.498867 \tabularnewline
0.1083 (9.2308) & 11.262769 \tabularnewline
0.1125 (8.8889) & 24.176412 \tabularnewline
0.1167 (8.5714) & 15.774674 \tabularnewline
0.1208 (8.2759) & 38.328764 \tabularnewline
0.125 (8) & 3.475877 \tabularnewline
0.1292 (7.7419) & 11.191254 \tabularnewline
0.1333 (7.5) & 114.974659 \tabularnewline
0.1375 (7.2727) & 99.637482 \tabularnewline
0.1417 (7.0588) & 119.369152 \tabularnewline
0.1458 (6.8571) & 30.547952 \tabularnewline
0.15 (6.6667) & 21.889543 \tabularnewline
0.1542 (6.4865) & 7.03813 \tabularnewline
0.1583 (6.3158) & 15.693948 \tabularnewline
0.1625 (6.1538) & 25.368495 \tabularnewline
0.1667 (6) & 4.299724 \tabularnewline
0.1708 (5.8537) & 4.122029 \tabularnewline
0.175 (5.7143) & 9.44585 \tabularnewline
0.1792 (5.5814) & 2.46155 \tabularnewline
0.1833 (5.4545) & 25.035444 \tabularnewline
0.1875 (5.3333) & 30.409165 \tabularnewline
0.1917 (5.2174) & 35.86294 \tabularnewline
0.1958 (5.1064) & 51.289911 \tabularnewline
0.2 (5) & 8.477384 \tabularnewline
0.2042 (4.898) & 1.716114 \tabularnewline
0.2083 (4.8) & 1.809125 \tabularnewline
0.2125 (4.7059) & 170.593949 \tabularnewline
0.2167 (4.6154) & 194.291639 \tabularnewline
0.2208 (4.5283) & 79.57787 \tabularnewline
0.225 (4.4444) & 32.402021 \tabularnewline
0.2292 (4.3636) & 10.097188 \tabularnewline
0.2333 (4.2857) & 33.067188 \tabularnewline
0.2375 (4.2105) & 47.570345 \tabularnewline
0.2417 (4.1379) & 24.491722 \tabularnewline
0.2458 (4.0678) & 25.128723 \tabularnewline
0.25 (4) & 2.421601 \tabularnewline
0.2542 (3.9344) & 6.394027 \tabularnewline
0.2583 (3.871) & 36.407844 \tabularnewline
0.2625 (3.8095) & 20.540618 \tabularnewline
0.2667 (3.75) & 13.301919 \tabularnewline
0.2708 (3.6923) & 57.974898 \tabularnewline
0.275 (3.6364) & 12.681945 \tabularnewline
0.2792 (3.5821) & 73.917861 \tabularnewline
0.2833 (3.5294) & 29.84842 \tabularnewline
0.2875 (3.4783) & 73.269066 \tabularnewline
0.2917 (3.4286) & 31.901109 \tabularnewline
0.2958 (3.3803) & 128.631574 \tabularnewline
0.3 (3.3333) & 46.328224 \tabularnewline
0.3042 (3.2877) & 21.603924 \tabularnewline
0.3083 (3.2432) & 56.218223 \tabularnewline
0.3125 (3.2) & 85.005623 \tabularnewline
0.3167 (3.1579) & 5.13896 \tabularnewline
0.3208 (3.1169) & 12.404039 \tabularnewline
0.325 (3.0769) & 1.546621 \tabularnewline
0.3292 (3.038) & 10.541946 \tabularnewline
0.3333 (3) & 2.68259 \tabularnewline
0.3375 (2.963) & 0.10734 \tabularnewline
0.3417 (2.9268) & 58.536368 \tabularnewline
0.3458 (2.8916) & 164.152051 \tabularnewline
0.35 (2.8571) & 34.411282 \tabularnewline
0.3542 (2.8235) & 93.716933 \tabularnewline
0.3583 (2.7907) & 1.115254 \tabularnewline
0.3625 (2.7586) & 0.457421 \tabularnewline
0.3667 (2.7273) & 3.37103 \tabularnewline
0.3708 (2.6966) & 92.490829 \tabularnewline
0.375 (2.6667) & 76.577492 \tabularnewline
0.3792 (2.6374) & 14.200976 \tabularnewline
0.3833 (2.6087) & 33.468898 \tabularnewline
0.3875 (2.5806) & 14.281467 \tabularnewline
0.3917 (2.5532) & 38.842649 \tabularnewline
0.3958 (2.5263) & 37.974239 \tabularnewline
0.4 (2.5) & 12.485358 \tabularnewline
0.4042 (2.4742) & 10.832693 \tabularnewline
0.4083 (2.449) & 2.630152 \tabularnewline
0.4125 (2.4242) & 0.255648 \tabularnewline
0.4167 (2.4) & 0.599695 \tabularnewline
0.4208 (2.3762) & 13.407205 \tabularnewline
0.425 (2.3529) & 22.369191 \tabularnewline
0.4292 (2.3301) & 11.806579 \tabularnewline
0.4333 (2.3077) & 20.004577 \tabularnewline
0.4375 (2.2857) & 67.563963 \tabularnewline
0.4417 (2.2642) & 112.674629 \tabularnewline
0.4458 (2.243) & 106.476659 \tabularnewline
0.45 (2.2222) & 20.47319 \tabularnewline
0.4542 (2.2018) & 37.982104 \tabularnewline
0.4583 (2.1818) & 5.113187 \tabularnewline
0.4625 (2.1622) & 19.664151 \tabularnewline
0.4667 (2.1429) & 59.205662 \tabularnewline
0.4708 (2.1239) & 28.078291 \tabularnewline
0.475 (2.1053) & 40.828489 \tabularnewline
0.4792 (2.087) & 88.153939 \tabularnewline
0.4833 (2.069) & 27.413411 \tabularnewline
0.4875 (2.0513) & 4.078206 \tabularnewline
0.4917 (2.0339) & 7.183495 \tabularnewline
0.4958 (2.0168) & 9.038878 \tabularnewline
0.5 (2) & 0.082428 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32083&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]1[/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]0.0042 (240)[/C][C]20.924246[/C][/ROW]
[ROW][C]0.0083 (120)[/C][C]322.947367[/C][/ROW]
[ROW][C]0.0125 (80)[/C][C]23.01426[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]48.777432[/C][/ROW]
[ROW][C]0.0208 (48)[/C][C]46.059202[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]14.207966[/C][/ROW]
[ROW][C]0.0292 (34.2857)[/C][C]11.512462[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]121.42647[/C][/ROW]
[ROW][C]0.0375 (26.6667)[/C][C]96.945323[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]111.216702[/C][/ROW]
[ROW][C]0.0458 (21.8182)[/C][C]157.081415[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]16.69875[/C][/ROW]
[ROW][C]0.0542 (18.4615)[/C][C]81.399185[/C][/ROW]
[ROW][C]0.0583 (17.1429)[/C][C]30.50903[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]14.388084[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]7.209975[/C][/ROW]
[ROW][C]0.0708 (14.1176)[/C][C]24.971348[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]3.549056[/C][/ROW]
[ROW][C]0.0792 (12.6316)[/C][C]1.061459[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]6.255421[/C][/ROW]
[ROW][C]0.0875 (11.4286)[/C][C]10.239074[/C][/ROW]
[ROW][C]0.0917 (10.9091)[/C][C]8.543288[/C][/ROW]
[ROW][C]0.0958 (10.4348)[/C][C]5.238719[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]33.738125[/C][/ROW]
[ROW][C]0.1042 (9.6)[/C][C]38.498867[/C][/ROW]
[ROW][C]0.1083 (9.2308)[/C][C]11.262769[/C][/ROW]
[ROW][C]0.1125 (8.8889)[/C][C]24.176412[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]15.774674[/C][/ROW]
[ROW][C]0.1208 (8.2759)[/C][C]38.328764[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]3.475877[/C][/ROW]
[ROW][C]0.1292 (7.7419)[/C][C]11.191254[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]114.974659[/C][/ROW]
[ROW][C]0.1375 (7.2727)[/C][C]99.637482[/C][/ROW]
[ROW][C]0.1417 (7.0588)[/C][C]119.369152[/C][/ROW]
[ROW][C]0.1458 (6.8571)[/C][C]30.547952[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]21.889543[/C][/ROW]
[ROW][C]0.1542 (6.4865)[/C][C]7.03813[/C][/ROW]
[ROW][C]0.1583 (6.3158)[/C][C]15.693948[/C][/ROW]
[ROW][C]0.1625 (6.1538)[/C][C]25.368495[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]4.299724[/C][/ROW]
[ROW][C]0.1708 (5.8537)[/C][C]4.122029[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]9.44585[/C][/ROW]
[ROW][C]0.1792 (5.5814)[/C][C]2.46155[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]25.035444[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]30.409165[/C][/ROW]
[ROW][C]0.1917 (5.2174)[/C][C]35.86294[/C][/ROW]
[ROW][C]0.1958 (5.1064)[/C][C]51.289911[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]8.477384[/C][/ROW]
[ROW][C]0.2042 (4.898)[/C][C]1.716114[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]1.809125[/C][/ROW]
[ROW][C]0.2125 (4.7059)[/C][C]170.593949[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]194.291639[/C][/ROW]
[ROW][C]0.2208 (4.5283)[/C][C]79.57787[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]32.402021[/C][/ROW]
[ROW][C]0.2292 (4.3636)[/C][C]10.097188[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]33.067188[/C][/ROW]
[ROW][C]0.2375 (4.2105)[/C][C]47.570345[/C][/ROW]
[ROW][C]0.2417 (4.1379)[/C][C]24.491722[/C][/ROW]
[ROW][C]0.2458 (4.0678)[/C][C]25.128723[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]2.421601[/C][/ROW]
[ROW][C]0.2542 (3.9344)[/C][C]6.394027[/C][/ROW]
[ROW][C]0.2583 (3.871)[/C][C]36.407844[/C][/ROW]
[ROW][C]0.2625 (3.8095)[/C][C]20.540618[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]13.301919[/C][/ROW]
[ROW][C]0.2708 (3.6923)[/C][C]57.974898[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]12.681945[/C][/ROW]
[ROW][C]0.2792 (3.5821)[/C][C]73.917861[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]29.84842[/C][/ROW]
[ROW][C]0.2875 (3.4783)[/C][C]73.269066[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]31.901109[/C][/ROW]
[ROW][C]0.2958 (3.3803)[/C][C]128.631574[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]46.328224[/C][/ROW]
[ROW][C]0.3042 (3.2877)[/C][C]21.603924[/C][/ROW]
[ROW][C]0.3083 (3.2432)[/C][C]56.218223[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]85.005623[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]5.13896[/C][/ROW]
[ROW][C]0.3208 (3.1169)[/C][C]12.404039[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]1.546621[/C][/ROW]
[ROW][C]0.3292 (3.038)[/C][C]10.541946[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]2.68259[/C][/ROW]
[ROW][C]0.3375 (2.963)[/C][C]0.10734[/C][/ROW]
[ROW][C]0.3417 (2.9268)[/C][C]58.536368[/C][/ROW]
[ROW][C]0.3458 (2.8916)[/C][C]164.152051[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]34.411282[/C][/ROW]
[ROW][C]0.3542 (2.8235)[/C][C]93.716933[/C][/ROW]
[ROW][C]0.3583 (2.7907)[/C][C]1.115254[/C][/ROW]
[ROW][C]0.3625 (2.7586)[/C][C]0.457421[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]3.37103[/C][/ROW]
[ROW][C]0.3708 (2.6966)[/C][C]92.490829[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]76.577492[/C][/ROW]
[ROW][C]0.3792 (2.6374)[/C][C]14.200976[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]33.468898[/C][/ROW]
[ROW][C]0.3875 (2.5806)[/C][C]14.281467[/C][/ROW]
[ROW][C]0.3917 (2.5532)[/C][C]38.842649[/C][/ROW]
[ROW][C]0.3958 (2.5263)[/C][C]37.974239[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]12.485358[/C][/ROW]
[ROW][C]0.4042 (2.4742)[/C][C]10.832693[/C][/ROW]
[ROW][C]0.4083 (2.449)[/C][C]2.630152[/C][/ROW]
[ROW][C]0.4125 (2.4242)[/C][C]0.255648[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0.599695[/C][/ROW]
[ROW][C]0.4208 (2.3762)[/C][C]13.407205[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]22.369191[/C][/ROW]
[ROW][C]0.4292 (2.3301)[/C][C]11.806579[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]20.004577[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]67.563963[/C][/ROW]
[ROW][C]0.4417 (2.2642)[/C][C]112.674629[/C][/ROW]
[ROW][C]0.4458 (2.243)[/C][C]106.476659[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]20.47319[/C][/ROW]
[ROW][C]0.4542 (2.2018)[/C][C]37.982104[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]5.113187[/C][/ROW]
[ROW][C]0.4625 (2.1622)[/C][C]19.664151[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]59.205662[/C][/ROW]
[ROW][C]0.4708 (2.1239)[/C][C]28.078291[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]40.828489[/C][/ROW]
[ROW][C]0.4792 (2.087)[/C][C]88.153939[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]27.413411[/C][/ROW]
[ROW][C]0.4875 (2.0513)[/C][C]4.078206[/C][/ROW]
[ROW][C]0.4917 (2.0339)[/C][C]7.183495[/C][/ROW]
[ROW][C]0.4958 (2.0168)[/C][C]9.038878[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.082428[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32083&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32083&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)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0042 (240)20.924246
0.0083 (120)322.947367
0.0125 (80)23.01426
0.0167 (60)48.777432
0.0208 (48)46.059202
0.025 (40)14.207966
0.0292 (34.2857)11.512462
0.0333 (30)121.42647
0.0375 (26.6667)96.945323
0.0417 (24)111.216702
0.0458 (21.8182)157.081415
0.05 (20)16.69875
0.0542 (18.4615)81.399185
0.0583 (17.1429)30.50903
0.0625 (16)14.388084
0.0667 (15)7.209975
0.0708 (14.1176)24.971348
0.075 (13.3333)3.549056
0.0792 (12.6316)1.061459
0.0833 (12)6.255421
0.0875 (11.4286)10.239074
0.0917 (10.9091)8.543288
0.0958 (10.4348)5.238719
0.1 (10)33.738125
0.1042 (9.6)38.498867
0.1083 (9.2308)11.262769
0.1125 (8.8889)24.176412
0.1167 (8.5714)15.774674
0.1208 (8.2759)38.328764
0.125 (8)3.475877
0.1292 (7.7419)11.191254
0.1333 (7.5)114.974659
0.1375 (7.2727)99.637482
0.1417 (7.0588)119.369152
0.1458 (6.8571)30.547952
0.15 (6.6667)21.889543
0.1542 (6.4865)7.03813
0.1583 (6.3158)15.693948
0.1625 (6.1538)25.368495
0.1667 (6)4.299724
0.1708 (5.8537)4.122029
0.175 (5.7143)9.44585
0.1792 (5.5814)2.46155
0.1833 (5.4545)25.035444
0.1875 (5.3333)30.409165
0.1917 (5.2174)35.86294
0.1958 (5.1064)51.289911
0.2 (5)8.477384
0.2042 (4.898)1.716114
0.2083 (4.8)1.809125
0.2125 (4.7059)170.593949
0.2167 (4.6154)194.291639
0.2208 (4.5283)79.57787
0.225 (4.4444)32.402021
0.2292 (4.3636)10.097188
0.2333 (4.2857)33.067188
0.2375 (4.2105)47.570345
0.2417 (4.1379)24.491722
0.2458 (4.0678)25.128723
0.25 (4)2.421601
0.2542 (3.9344)6.394027
0.2583 (3.871)36.407844
0.2625 (3.8095)20.540618
0.2667 (3.75)13.301919
0.2708 (3.6923)57.974898
0.275 (3.6364)12.681945
0.2792 (3.5821)73.917861
0.2833 (3.5294)29.84842
0.2875 (3.4783)73.269066
0.2917 (3.4286)31.901109
0.2958 (3.3803)128.631574
0.3 (3.3333)46.328224
0.3042 (3.2877)21.603924
0.3083 (3.2432)56.218223
0.3125 (3.2)85.005623
0.3167 (3.1579)5.13896
0.3208 (3.1169)12.404039
0.325 (3.0769)1.546621
0.3292 (3.038)10.541946
0.3333 (3)2.68259
0.3375 (2.963)0.10734
0.3417 (2.9268)58.536368
0.3458 (2.8916)164.152051
0.35 (2.8571)34.411282
0.3542 (2.8235)93.716933
0.3583 (2.7907)1.115254
0.3625 (2.7586)0.457421
0.3667 (2.7273)3.37103
0.3708 (2.6966)92.490829
0.375 (2.6667)76.577492
0.3792 (2.6374)14.200976
0.3833 (2.6087)33.468898
0.3875 (2.5806)14.281467
0.3917 (2.5532)38.842649
0.3958 (2.5263)37.974239
0.4 (2.5)12.485358
0.4042 (2.4742)10.832693
0.4083 (2.449)2.630152
0.4125 (2.4242)0.255648
0.4167 (2.4)0.599695
0.4208 (2.3762)13.407205
0.425 (2.3529)22.369191
0.4292 (2.3301)11.806579
0.4333 (2.3077)20.004577
0.4375 (2.2857)67.563963
0.4417 (2.2642)112.674629
0.4458 (2.243)106.476659
0.45 (2.2222)20.47319
0.4542 (2.2018)37.982104
0.4583 (2.1818)5.113187
0.4625 (2.1622)19.664151
0.4667 (2.1429)59.205662
0.4708 (2.1239)28.078291
0.475 (2.1053)40.828489
0.4792 (2.087)88.153939
0.4833 (2.069)27.413411
0.4875 (2.0513)4.078206
0.4917 (2.0339)7.183495
0.4958 (2.0168)9.038878
0.5 (2)0.082428



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