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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationTue, 29 Nov 2011 11:36:21 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/29/t1322584614kslacl57rtpfqa4.htm/, Retrieved Fri, 19 Apr 2024 12:38:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148602, Retrieved Fri, 19 Apr 2024 12:38:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [Spectral Analysis] [Spectrum analyse ...] [2010-11-26 00:07:55] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- R P     [Spectral Analysis] [] [2011-11-29 14:57:03] [9401a40688cf36283be626153bc5a38b]
-             [Spectral Analysis] [C8.2] [2011-11-29 16:36:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1149822
1086979
1276674
1522522
1742117
1737275
1979900
2061036
1867943
1707752
1298756
1281814
1281151
1164976
1454329
1645288
1817743
1895785
2236311
2295951
2087315
1980891
1465446
1445026
1488120
1338333
1715789
1806090
2083316
2092278
2430800
2424894
2299016
2130688
1652221
1608162
1647074
1479691
1884978
2007898
2208954
2217164
2534291
2560312
2429069
2315077
1799608
1772590
1744799
1659093
2099821
2135736
2427894
2468882
2703217
2766841
2655236
2550373
2052097
1998055
1920748
1876694
2380930
2467402
2770771
2781340
3143926
3172235
2952540
2920877
2384552
2248987
2208616
2178756
2632870
2706905
3029745
3015402
3391414
3507805
3177852
3142961
2545815
2414007
2372578
2332664
2825328
2901478
3263955
3226738
3610786
3709274
3467185
3449646
2802951
2462530
2490645
2561520
3067554
3226951
3546493
3492787
3952263
3932072
3720284
3651555
2914972
2713514
2703997
2591373
3163748
3355137
3613702
3686773
4098716
4063517
3551489
3226663
2656842
2597484
2572399
2596631
3165225
3303145
3698247
3668631
4130433
4131400
3864358
3721110
2892532
2843451
2747502
2668775
3018602
3013392
3393657
3544233
4075832
4032923
3734509
3761285
2970090
2847849
2741680
2830639
3257673
3480085
3843271
3796961
4337767
4243630
3927202
3915296
3087396
2963792
2955792
2829925
3281195
3548011
4059648
3941175
4528594
4433151
4145737
4077132
3198519
3078660
3028202
2858642
3398954
3808883
4175961
4227542
4744616
4608012
4295049
4201144
3353276
3286851
3169889
3051720
3695426
3905501
4296458
4246247
4921849
4821446
4425064
4379099
3472889
3359160
3200944
3153170
3741498
3918719
4403449
4400407
4847473
4716136
4297440
4272253
3271834
3168388
2911748
2720999
3199918
3672623
3892013
3850845
4532467
4484739
4014972
3983758
3158459
3100569
2935404
2855719
3465611
3006985
4095110
4104793
4730788
4642726
4246919
4308117

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'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148602&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148602&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148602&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'Herman Ole Andreas Wold' @ wold.wessa.net






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0042 (240)2772343085727.55
0.0083 (120)290347390333.862
0.0125 (80)780807993084.676
0.0167 (60)343395061590.078
0.0208 (48)155157499496.47
0.025 (40)252851369233.599
0.0292 (34.2857)30849413794.0677
0.0333 (30)74850581064.3977
0.0375 (26.6667)2013208385.61739
0.0417 (24)67303150976.4267
0.0458 (21.8182)86203921043.0128
0.05 (20)3041428237.04759
0.0542 (18.4615)46125320891.3451
0.0583 (17.1429)70798952693.3383
0.0625 (16)71801907323.8179
0.0667 (15)142868360377.745
0.0708 (14.1176)435107695839.582
0.075 (13.3333)394075553734.643
0.0792 (12.6316)1226687002594.95
0.0833 (12)21571567570798.6
0.0875 (11.4286)1069460779686.15
0.0917 (10.9091)454374451127.257
0.0958 (10.4348)316952739078.904
0.1 (10)92050251538.6562
0.1042 (9.6)74724715565.1835
0.1083 (9.2308)277038204.274088
0.1125 (8.8889)8500467318.00528
0.1167 (8.5714)30847034764.4329
0.1208 (8.2759)861398314.36764
0.125 (8)20060500104.0087
0.1292 (7.7419)1475840925.75408
0.1333 (7.5)1992269359.31318
0.1375 (7.2727)6462265822.47468
0.1417 (7.0588)648896239.338991
0.1458 (6.8571)13799195319.0482
0.15 (6.6667)12354573405.0398
0.1542 (6.4865)1012519473.11066
0.1583 (6.3158)25044399286.1788
0.1625 (6.1538)39519509811.4129
0.1667 (6)471233208132.345
0.1708 (5.8537)33100566605.6772
0.175 (5.7143)8620063809.70944
0.1792 (5.5814)16005344509.2137
0.1833 (5.4545)80846867.341713
0.1875 (5.3333)3536671829.50929
0.1917 (5.2174)1756193153.65478
0.1958 (5.1064)2051492441.42224
0.2 (5)1585520576.07502
0.2042 (4.898)8209531417.93458
0.2083 (4.8)1067771551.41726
0.2125 (4.7059)2931275894.37477
0.2167 (4.6154)5167317560.11514
0.2208 (4.5283)5558826498.39686
0.225 (4.4444)7267475799.95898
0.2292 (4.3636)9318275133.51484
0.2333 (4.2857)517770678.596065
0.2375 (4.2105)4361336501.40305
0.2417 (4.1379)302351298.458867
0.2458 (4.0678)3288543008.52126
0.25 (4)67794112957.6368
0.2542 (3.9344)790787191.730358
0.2583 (3.871)11123755136.83
0.2625 (3.8095)8805591687.88625
0.2667 (3.75)2001484985.30579
0.2708 (3.6923)5524356958.30238
0.275 (3.6364)2319304060.64344
0.2792 (3.5821)3334381569.92287
0.2833 (3.5294)4322120548.56186
0.2875 (3.4783)355067376.529167
0.2917 (3.4286)11681560145.5343
0.2958 (3.3803)2810527857.4779
0.3 (3.3333)1909044173.95751
0.3042 (3.2877)5527077571.05262
0.3083 (3.2432)14792899.189809
0.3125 (3.2)2369854586.96101
0.3167 (3.1579)7877704818.20445
0.3208 (3.1169)1999187056.70465
0.325 (3.0769)19347459028.7027
0.3292 (3.038)22555821917.2777
0.3333 (3)311646517155.742
0.3375 (2.963)27785285757.994
0.3417 (2.9268)7938777974.74467
0.3458 (2.8916)19890921784.7516
0.35 (2.8571)5058791699.75673
0.3542 (2.8235)4035018667.75896
0.3583 (2.7907)819890342.987792
0.3625 (2.7586)3648511745.01922
0.3667 (2.7273)603830472.482175
0.3708 (2.6966)3516189699.00527
0.375 (2.6667)83725838.743136
0.3792 (2.6374)4119777098.42323
0.3833 (2.6087)1679620137.40986
0.3875 (2.5806)406620467.312416
0.3917 (2.5532)45669514.403986
0.3958 (2.5263)738975181.048977
0.4 (2.5)8220525362.72286
0.4042 (2.4742)3573977133.47546
0.4083 (2.449)27076625536.9458
0.4125 (2.4242)17921405874.9459
0.4167 (2.4)748240335934.025
0.4208 (2.3762)71115288220.2279
0.425 (2.3529)15715658502.3428
0.4292 (2.3301)9533522950.7443
0.4333 (2.3077)8171966674.51446
0.4375 (2.2857)21301450.031883
0.4417 (2.2642)36460271.386479
0.4458 (2.243)1924595589.07322
0.45 (2.2222)28462446.138865
0.4542 (2.2018)409494433.622974
0.4583 (2.1818)13720690.510236
0.4625 (2.1622)674607671.216233
0.4667 (2.1429)4070223666.38067
0.4708 (2.1239)1370847159.24973
0.475 (2.1053)900006995.873979
0.4792 (2.087)862660211.125669
0.4833 (2.069)2439755442.34357
0.4875 (2.0513)1759480086.48617
0.4917 (2.0339)1548048970.35361
0.4958 (2.0168)3773206344.83599
0.5 (2)44594548716.5331

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 1 \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
0.0042 (240) & 2772343085727.55 \tabularnewline
0.0083 (120) & 290347390333.862 \tabularnewline
0.0125 (80) & 780807993084.676 \tabularnewline
0.0167 (60) & 343395061590.078 \tabularnewline
0.0208 (48) & 155157499496.47 \tabularnewline
0.025 (40) & 252851369233.599 \tabularnewline
0.0292 (34.2857) & 30849413794.0677 \tabularnewline
0.0333 (30) & 74850581064.3977 \tabularnewline
0.0375 (26.6667) & 2013208385.61739 \tabularnewline
0.0417 (24) & 67303150976.4267 \tabularnewline
0.0458 (21.8182) & 86203921043.0128 \tabularnewline
0.05 (20) & 3041428237.04759 \tabularnewline
0.0542 (18.4615) & 46125320891.3451 \tabularnewline
0.0583 (17.1429) & 70798952693.3383 \tabularnewline
0.0625 (16) & 71801907323.8179 \tabularnewline
0.0667 (15) & 142868360377.745 \tabularnewline
0.0708 (14.1176) & 435107695839.582 \tabularnewline
0.075 (13.3333) & 394075553734.643 \tabularnewline
0.0792 (12.6316) & 1226687002594.95 \tabularnewline
0.0833 (12) & 21571567570798.6 \tabularnewline
0.0875 (11.4286) & 1069460779686.15 \tabularnewline
0.0917 (10.9091) & 454374451127.257 \tabularnewline
0.0958 (10.4348) & 316952739078.904 \tabularnewline
0.1 (10) & 92050251538.6562 \tabularnewline
0.1042 (9.6) & 74724715565.1835 \tabularnewline
0.1083 (9.2308) & 277038204.274088 \tabularnewline
0.1125 (8.8889) & 8500467318.00528 \tabularnewline
0.1167 (8.5714) & 30847034764.4329 \tabularnewline
0.1208 (8.2759) & 861398314.36764 \tabularnewline
0.125 (8) & 20060500104.0087 \tabularnewline
0.1292 (7.7419) & 1475840925.75408 \tabularnewline
0.1333 (7.5) & 1992269359.31318 \tabularnewline
0.1375 (7.2727) & 6462265822.47468 \tabularnewline
0.1417 (7.0588) & 648896239.338991 \tabularnewline
0.1458 (6.8571) & 13799195319.0482 \tabularnewline
0.15 (6.6667) & 12354573405.0398 \tabularnewline
0.1542 (6.4865) & 1012519473.11066 \tabularnewline
0.1583 (6.3158) & 25044399286.1788 \tabularnewline
0.1625 (6.1538) & 39519509811.4129 \tabularnewline
0.1667 (6) & 471233208132.345 \tabularnewline
0.1708 (5.8537) & 33100566605.6772 \tabularnewline
0.175 (5.7143) & 8620063809.70944 \tabularnewline
0.1792 (5.5814) & 16005344509.2137 \tabularnewline
0.1833 (5.4545) & 80846867.341713 \tabularnewline
0.1875 (5.3333) & 3536671829.50929 \tabularnewline
0.1917 (5.2174) & 1756193153.65478 \tabularnewline
0.1958 (5.1064) & 2051492441.42224 \tabularnewline
0.2 (5) & 1585520576.07502 \tabularnewline
0.2042 (4.898) & 8209531417.93458 \tabularnewline
0.2083 (4.8) & 1067771551.41726 \tabularnewline
0.2125 (4.7059) & 2931275894.37477 \tabularnewline
0.2167 (4.6154) & 5167317560.11514 \tabularnewline
0.2208 (4.5283) & 5558826498.39686 \tabularnewline
0.225 (4.4444) & 7267475799.95898 \tabularnewline
0.2292 (4.3636) & 9318275133.51484 \tabularnewline
0.2333 (4.2857) & 517770678.596065 \tabularnewline
0.2375 (4.2105) & 4361336501.40305 \tabularnewline
0.2417 (4.1379) & 302351298.458867 \tabularnewline
0.2458 (4.0678) & 3288543008.52126 \tabularnewline
0.25 (4) & 67794112957.6368 \tabularnewline
0.2542 (3.9344) & 790787191.730358 \tabularnewline
0.2583 (3.871) & 11123755136.83 \tabularnewline
0.2625 (3.8095) & 8805591687.88625 \tabularnewline
0.2667 (3.75) & 2001484985.30579 \tabularnewline
0.2708 (3.6923) & 5524356958.30238 \tabularnewline
0.275 (3.6364) & 2319304060.64344 \tabularnewline
0.2792 (3.5821) & 3334381569.92287 \tabularnewline
0.2833 (3.5294) & 4322120548.56186 \tabularnewline
0.2875 (3.4783) & 355067376.529167 \tabularnewline
0.2917 (3.4286) & 11681560145.5343 \tabularnewline
0.2958 (3.3803) & 2810527857.4779 \tabularnewline
0.3 (3.3333) & 1909044173.95751 \tabularnewline
0.3042 (3.2877) & 5527077571.05262 \tabularnewline
0.3083 (3.2432) & 14792899.189809 \tabularnewline
0.3125 (3.2) & 2369854586.96101 \tabularnewline
0.3167 (3.1579) & 7877704818.20445 \tabularnewline
0.3208 (3.1169) & 1999187056.70465 \tabularnewline
0.325 (3.0769) & 19347459028.7027 \tabularnewline
0.3292 (3.038) & 22555821917.2777 \tabularnewline
0.3333 (3) & 311646517155.742 \tabularnewline
0.3375 (2.963) & 27785285757.994 \tabularnewline
0.3417 (2.9268) & 7938777974.74467 \tabularnewline
0.3458 (2.8916) & 19890921784.7516 \tabularnewline
0.35 (2.8571) & 5058791699.75673 \tabularnewline
0.3542 (2.8235) & 4035018667.75896 \tabularnewline
0.3583 (2.7907) & 819890342.987792 \tabularnewline
0.3625 (2.7586) & 3648511745.01922 \tabularnewline
0.3667 (2.7273) & 603830472.482175 \tabularnewline
0.3708 (2.6966) & 3516189699.00527 \tabularnewline
0.375 (2.6667) & 83725838.743136 \tabularnewline
0.3792 (2.6374) & 4119777098.42323 \tabularnewline
0.3833 (2.6087) & 1679620137.40986 \tabularnewline
0.3875 (2.5806) & 406620467.312416 \tabularnewline
0.3917 (2.5532) & 45669514.403986 \tabularnewline
0.3958 (2.5263) & 738975181.048977 \tabularnewline
0.4 (2.5) & 8220525362.72286 \tabularnewline
0.4042 (2.4742) & 3573977133.47546 \tabularnewline
0.4083 (2.449) & 27076625536.9458 \tabularnewline
0.4125 (2.4242) & 17921405874.9459 \tabularnewline
0.4167 (2.4) & 748240335934.025 \tabularnewline
0.4208 (2.3762) & 71115288220.2279 \tabularnewline
0.425 (2.3529) & 15715658502.3428 \tabularnewline
0.4292 (2.3301) & 9533522950.7443 \tabularnewline
0.4333 (2.3077) & 8171966674.51446 \tabularnewline
0.4375 (2.2857) & 21301450.031883 \tabularnewline
0.4417 (2.2642) & 36460271.386479 \tabularnewline
0.4458 (2.243) & 1924595589.07322 \tabularnewline
0.45 (2.2222) & 28462446.138865 \tabularnewline
0.4542 (2.2018) & 409494433.622974 \tabularnewline
0.4583 (2.1818) & 13720690.510236 \tabularnewline
0.4625 (2.1622) & 674607671.216233 \tabularnewline
0.4667 (2.1429) & 4070223666.38067 \tabularnewline
0.4708 (2.1239) & 1370847159.24973 \tabularnewline
0.475 (2.1053) & 900006995.873979 \tabularnewline
0.4792 (2.087) & 862660211.125669 \tabularnewline
0.4833 (2.069) & 2439755442.34357 \tabularnewline
0.4875 (2.0513) & 1759480086.48617 \tabularnewline
0.4917 (2.0339) & 1548048970.35361 \tabularnewline
0.4958 (2.0168) & 3773206344.83599 \tabularnewline
0.5 (2) & 44594548716.5331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148602&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]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]0.0042 (240)[/C][C]2772343085727.55[/C][/ROW]
[ROW][C]0.0083 (120)[/C][C]290347390333.862[/C][/ROW]
[ROW][C]0.0125 (80)[/C][C]780807993084.676[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]343395061590.078[/C][/ROW]
[ROW][C]0.0208 (48)[/C][C]155157499496.47[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]252851369233.599[/C][/ROW]
[ROW][C]0.0292 (34.2857)[/C][C]30849413794.0677[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]74850581064.3977[/C][/ROW]
[ROW][C]0.0375 (26.6667)[/C][C]2013208385.61739[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]67303150976.4267[/C][/ROW]
[ROW][C]0.0458 (21.8182)[/C][C]86203921043.0128[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]3041428237.04759[/C][/ROW]
[ROW][C]0.0542 (18.4615)[/C][C]46125320891.3451[/C][/ROW]
[ROW][C]0.0583 (17.1429)[/C][C]70798952693.3383[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]71801907323.8179[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]142868360377.745[/C][/ROW]
[ROW][C]0.0708 (14.1176)[/C][C]435107695839.582[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]394075553734.643[/C][/ROW]
[ROW][C]0.0792 (12.6316)[/C][C]1226687002594.95[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]21571567570798.6[/C][/ROW]
[ROW][C]0.0875 (11.4286)[/C][C]1069460779686.15[/C][/ROW]
[ROW][C]0.0917 (10.9091)[/C][C]454374451127.257[/C][/ROW]
[ROW][C]0.0958 (10.4348)[/C][C]316952739078.904[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]92050251538.6562[/C][/ROW]
[ROW][C]0.1042 (9.6)[/C][C]74724715565.1835[/C][/ROW]
[ROW][C]0.1083 (9.2308)[/C][C]277038204.274088[/C][/ROW]
[ROW][C]0.1125 (8.8889)[/C][C]8500467318.00528[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]30847034764.4329[/C][/ROW]
[ROW][C]0.1208 (8.2759)[/C][C]861398314.36764[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]20060500104.0087[/C][/ROW]
[ROW][C]0.1292 (7.7419)[/C][C]1475840925.75408[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]1992269359.31318[/C][/ROW]
[ROW][C]0.1375 (7.2727)[/C][C]6462265822.47468[/C][/ROW]
[ROW][C]0.1417 (7.0588)[/C][C]648896239.338991[/C][/ROW]
[ROW][C]0.1458 (6.8571)[/C][C]13799195319.0482[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]12354573405.0398[/C][/ROW]
[ROW][C]0.1542 (6.4865)[/C][C]1012519473.11066[/C][/ROW]
[ROW][C]0.1583 (6.3158)[/C][C]25044399286.1788[/C][/ROW]
[ROW][C]0.1625 (6.1538)[/C][C]39519509811.4129[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]471233208132.345[/C][/ROW]
[ROW][C]0.1708 (5.8537)[/C][C]33100566605.6772[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]8620063809.70944[/C][/ROW]
[ROW][C]0.1792 (5.5814)[/C][C]16005344509.2137[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]80846867.341713[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]3536671829.50929[/C][/ROW]
[ROW][C]0.1917 (5.2174)[/C][C]1756193153.65478[/C][/ROW]
[ROW][C]0.1958 (5.1064)[/C][C]2051492441.42224[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]1585520576.07502[/C][/ROW]
[ROW][C]0.2042 (4.898)[/C][C]8209531417.93458[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]1067771551.41726[/C][/ROW]
[ROW][C]0.2125 (4.7059)[/C][C]2931275894.37477[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]5167317560.11514[/C][/ROW]
[ROW][C]0.2208 (4.5283)[/C][C]5558826498.39686[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]7267475799.95898[/C][/ROW]
[ROW][C]0.2292 (4.3636)[/C][C]9318275133.51484[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]517770678.596065[/C][/ROW]
[ROW][C]0.2375 (4.2105)[/C][C]4361336501.40305[/C][/ROW]
[ROW][C]0.2417 (4.1379)[/C][C]302351298.458867[/C][/ROW]
[ROW][C]0.2458 (4.0678)[/C][C]3288543008.52126[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]67794112957.6368[/C][/ROW]
[ROW][C]0.2542 (3.9344)[/C][C]790787191.730358[/C][/ROW]
[ROW][C]0.2583 (3.871)[/C][C]11123755136.83[/C][/ROW]
[ROW][C]0.2625 (3.8095)[/C][C]8805591687.88625[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]2001484985.30579[/C][/ROW]
[ROW][C]0.2708 (3.6923)[/C][C]5524356958.30238[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]2319304060.64344[/C][/ROW]
[ROW][C]0.2792 (3.5821)[/C][C]3334381569.92287[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]4322120548.56186[/C][/ROW]
[ROW][C]0.2875 (3.4783)[/C][C]355067376.529167[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]11681560145.5343[/C][/ROW]
[ROW][C]0.2958 (3.3803)[/C][C]2810527857.4779[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]1909044173.95751[/C][/ROW]
[ROW][C]0.3042 (3.2877)[/C][C]5527077571.05262[/C][/ROW]
[ROW][C]0.3083 (3.2432)[/C][C]14792899.189809[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]2369854586.96101[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]7877704818.20445[/C][/ROW]
[ROW][C]0.3208 (3.1169)[/C][C]1999187056.70465[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]19347459028.7027[/C][/ROW]
[ROW][C]0.3292 (3.038)[/C][C]22555821917.2777[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]311646517155.742[/C][/ROW]
[ROW][C]0.3375 (2.963)[/C][C]27785285757.994[/C][/ROW]
[ROW][C]0.3417 (2.9268)[/C][C]7938777974.74467[/C][/ROW]
[ROW][C]0.3458 (2.8916)[/C][C]19890921784.7516[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]5058791699.75673[/C][/ROW]
[ROW][C]0.3542 (2.8235)[/C][C]4035018667.75896[/C][/ROW]
[ROW][C]0.3583 (2.7907)[/C][C]819890342.987792[/C][/ROW]
[ROW][C]0.3625 (2.7586)[/C][C]3648511745.01922[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]603830472.482175[/C][/ROW]
[ROW][C]0.3708 (2.6966)[/C][C]3516189699.00527[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]83725838.743136[/C][/ROW]
[ROW][C]0.3792 (2.6374)[/C][C]4119777098.42323[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]1679620137.40986[/C][/ROW]
[ROW][C]0.3875 (2.5806)[/C][C]406620467.312416[/C][/ROW]
[ROW][C]0.3917 (2.5532)[/C][C]45669514.403986[/C][/ROW]
[ROW][C]0.3958 (2.5263)[/C][C]738975181.048977[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]8220525362.72286[/C][/ROW]
[ROW][C]0.4042 (2.4742)[/C][C]3573977133.47546[/C][/ROW]
[ROW][C]0.4083 (2.449)[/C][C]27076625536.9458[/C][/ROW]
[ROW][C]0.4125 (2.4242)[/C][C]17921405874.9459[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]748240335934.025[/C][/ROW]
[ROW][C]0.4208 (2.3762)[/C][C]71115288220.2279[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]15715658502.3428[/C][/ROW]
[ROW][C]0.4292 (2.3301)[/C][C]9533522950.7443[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]8171966674.51446[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]21301450.031883[/C][/ROW]
[ROW][C]0.4417 (2.2642)[/C][C]36460271.386479[/C][/ROW]
[ROW][C]0.4458 (2.243)[/C][C]1924595589.07322[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]28462446.138865[/C][/ROW]
[ROW][C]0.4542 (2.2018)[/C][C]409494433.622974[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]13720690.510236[/C][/ROW]
[ROW][C]0.4625 (2.1622)[/C][C]674607671.216233[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]4070223666.38067[/C][/ROW]
[ROW][C]0.4708 (2.1239)[/C][C]1370847159.24973[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]900006995.873979[/C][/ROW]
[ROW][C]0.4792 (2.087)[/C][C]862660211.125669[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]2439755442.34357[/C][/ROW]
[ROW][C]0.4875 (2.0513)[/C][C]1759480086.48617[/C][/ROW]
[ROW][C]0.4917 (2.0339)[/C][C]1548048970.35361[/C][/ROW]
[ROW][C]0.4958 (2.0168)[/C][C]3773206344.83599[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]44594548716.5331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148602&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148602&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)1
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0042 (240)2772343085727.55
0.0083 (120)290347390333.862
0.0125 (80)780807993084.676
0.0167 (60)343395061590.078
0.0208 (48)155157499496.47
0.025 (40)252851369233.599
0.0292 (34.2857)30849413794.0677
0.0333 (30)74850581064.3977
0.0375 (26.6667)2013208385.61739
0.0417 (24)67303150976.4267
0.0458 (21.8182)86203921043.0128
0.05 (20)3041428237.04759
0.0542 (18.4615)46125320891.3451
0.0583 (17.1429)70798952693.3383
0.0625 (16)71801907323.8179
0.0667 (15)142868360377.745
0.0708 (14.1176)435107695839.582
0.075 (13.3333)394075553734.643
0.0792 (12.6316)1226687002594.95
0.0833 (12)21571567570798.6
0.0875 (11.4286)1069460779686.15
0.0917 (10.9091)454374451127.257
0.0958 (10.4348)316952739078.904
0.1 (10)92050251538.6562
0.1042 (9.6)74724715565.1835
0.1083 (9.2308)277038204.274088
0.1125 (8.8889)8500467318.00528
0.1167 (8.5714)30847034764.4329
0.1208 (8.2759)861398314.36764
0.125 (8)20060500104.0087
0.1292 (7.7419)1475840925.75408
0.1333 (7.5)1992269359.31318
0.1375 (7.2727)6462265822.47468
0.1417 (7.0588)648896239.338991
0.1458 (6.8571)13799195319.0482
0.15 (6.6667)12354573405.0398
0.1542 (6.4865)1012519473.11066
0.1583 (6.3158)25044399286.1788
0.1625 (6.1538)39519509811.4129
0.1667 (6)471233208132.345
0.1708 (5.8537)33100566605.6772
0.175 (5.7143)8620063809.70944
0.1792 (5.5814)16005344509.2137
0.1833 (5.4545)80846867.341713
0.1875 (5.3333)3536671829.50929
0.1917 (5.2174)1756193153.65478
0.1958 (5.1064)2051492441.42224
0.2 (5)1585520576.07502
0.2042 (4.898)8209531417.93458
0.2083 (4.8)1067771551.41726
0.2125 (4.7059)2931275894.37477
0.2167 (4.6154)5167317560.11514
0.2208 (4.5283)5558826498.39686
0.225 (4.4444)7267475799.95898
0.2292 (4.3636)9318275133.51484
0.2333 (4.2857)517770678.596065
0.2375 (4.2105)4361336501.40305
0.2417 (4.1379)302351298.458867
0.2458 (4.0678)3288543008.52126
0.25 (4)67794112957.6368
0.2542 (3.9344)790787191.730358
0.2583 (3.871)11123755136.83
0.2625 (3.8095)8805591687.88625
0.2667 (3.75)2001484985.30579
0.2708 (3.6923)5524356958.30238
0.275 (3.6364)2319304060.64344
0.2792 (3.5821)3334381569.92287
0.2833 (3.5294)4322120548.56186
0.2875 (3.4783)355067376.529167
0.2917 (3.4286)11681560145.5343
0.2958 (3.3803)2810527857.4779
0.3 (3.3333)1909044173.95751
0.3042 (3.2877)5527077571.05262
0.3083 (3.2432)14792899.189809
0.3125 (3.2)2369854586.96101
0.3167 (3.1579)7877704818.20445
0.3208 (3.1169)1999187056.70465
0.325 (3.0769)19347459028.7027
0.3292 (3.038)22555821917.2777
0.3333 (3)311646517155.742
0.3375 (2.963)27785285757.994
0.3417 (2.9268)7938777974.74467
0.3458 (2.8916)19890921784.7516
0.35 (2.8571)5058791699.75673
0.3542 (2.8235)4035018667.75896
0.3583 (2.7907)819890342.987792
0.3625 (2.7586)3648511745.01922
0.3667 (2.7273)603830472.482175
0.3708 (2.6966)3516189699.00527
0.375 (2.6667)83725838.743136
0.3792 (2.6374)4119777098.42323
0.3833 (2.6087)1679620137.40986
0.3875 (2.5806)406620467.312416
0.3917 (2.5532)45669514.403986
0.3958 (2.5263)738975181.048977
0.4 (2.5)8220525362.72286
0.4042 (2.4742)3573977133.47546
0.4083 (2.449)27076625536.9458
0.4125 (2.4242)17921405874.9459
0.4167 (2.4)748240335934.025
0.4208 (2.3762)71115288220.2279
0.425 (2.3529)15715658502.3428
0.4292 (2.3301)9533522950.7443
0.4333 (2.3077)8171966674.51446
0.4375 (2.2857)21301450.031883
0.4417 (2.2642)36460271.386479
0.4458 (2.243)1924595589.07322
0.45 (2.2222)28462446.138865
0.4542 (2.2018)409494433.622974
0.4583 (2.1818)13720690.510236
0.4625 (2.1622)674607671.216233
0.4667 (2.1429)4070223666.38067
0.4708 (2.1239)1370847159.24973
0.475 (2.1053)900006995.873979
0.4792 (2.087)862660211.125669
0.4833 (2.069)2439755442.34357
0.4875 (2.0513)1759480086.48617
0.4917 (2.0339)1548048970.35361
0.4958 (2.0168)3773206344.83599
0.5 (2)44594548716.5331


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
Parameters (R input):
par1 = 1 ; 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')