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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 computationFri, 11 Dec 2009 12:34:13 -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/2009/Dec/11/t1260562089hkttefkz4eq4yyk.htm/, Retrieved Mon, 29 Apr 2024 07:50:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=66742, Retrieved Mon, 29 Apr 2024 07:50:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Spectral Analysis] [Identifying Integ...] [2009-11-22 12:38:17] [b98453cac15ba1066b407e146608df68]
-    D        [Spectral Analysis] [WS8.7] [2009-11-25 18:54:30] [626f1d98f4a7f05bcb9f17666b672c60]
-    D            [Spectral Analysis] [Paper Spectrum d=D=0] [2009-12-11 19:34:13] [dd4f17965cad1d38de7a1c062d32d75d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
349
336
331
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385
405
412
411
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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'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=66742&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=66742&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66742&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'Gwilym Jenkins' @ 72.249.127.135






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
0.0028 (360)15075.176555
0.0056 (180)160635.591233
0.0083 (120)416546.829084
0.0111 (90)3752.677766
0.0139 (72)2887.480664
0.0167 (60)16452.69649
0.0194 (51.4286)8416.376632
0.0222 (45)6851.887679
0.025 (40)866.668491
0.0278 (36)1367.654387
0.0306 (32.7273)1056.556379
0.0333 (30)91.475043
0.0361 (27.6923)448.925239
0.0389 (25.7143)1594.510548
0.0417 (24)73.301503
0.0444 (22.5)309.007646
0.0472 (21.1765)452.975661
0.05 (20)188.300766
0.0528 (18.9474)179.098259
0.0556 (18)154.557235
0.0583 (17.1429)340.91971
0.0611 (16.3636)63.752623
0.0639 (15.6522)66.175563
0.0667 (15)42.000893
0.0694 (14.4)754.705005
0.0722 (13.8462)528.896766
0.075 (13.3333)926.241028
0.0778 (12.8571)479.08648
0.0806 (12.4138)321.308796
0.0833 (12)51971.442397
0.0861 (11.6129)3328.062128
0.0889 (11.25)1402.716125
0.0917 (10.9091)793.437754
0.0944 (10.5882)346.979507
0.0972 (10.2857)192.236375
0.1 (10)22.078979
0.1028 (9.7297)60.272284
0.1056 (9.4737)14.408518
0.1083 (9.2308)2.100989
0.1111 (9)15.603934
0.1139 (8.7805)16.78578
0.1167 (8.5714)17.590355
0.1194 (8.3721)5.150171
0.1222 (8.1818)22.284741
0.125 (8)10.882092
0.1278 (7.8261)3.115742
0.1306 (7.6596)7.535282
0.1333 (7.5)15.529589
0.1361 (7.3469)75.639222
0.1389 (7.2)34.519937
0.1417 (7.0588)20.947616
0.1444 (6.9231)69.436936
0.1472 (6.7925)10.781525
0.15 (6.6667)31.606503
0.1528 (6.5455)145.903842
0.1556 (6.4286)218.732297
0.1583 (6.3158)65.428002
0.1611 (6.2069)139.458096
0.1639 (6.1017)871.522271
0.1667 (6)22306.927799
0.1694 (5.9016)223.131058
0.1722 (5.8065)370.084082
0.175 (5.7143)198.289593
0.1778 (5.625)194.257211
0.1806 (5.5385)77.405126
0.1833 (5.4545)26.396613
0.1861 (5.3731)67.974953
0.1889 (5.2941)37.492116
0.1917 (5.2174)15.216668
0.1944 (5.1429)6.974578
0.1972 (5.0704)13.990699
0.2 (5)5.188916
0.2028 (4.9315)3.137605
0.2056 (4.8649)2.526687
0.2083 (4.8)3.436864
0.2111 (4.7368)6.010086
0.2139 (4.6753)36.125292
0.2167 (4.6154)18.63641
0.2194 (4.557)11.429008
0.2222 (4.5)6.467361
0.225 (4.4444)4.720333
0.2278 (4.3902)8.394434
0.2306 (4.3373)1.334911
0.2333 (4.2857)25.726132
0.2361 (4.2353)10.350354
0.2389 (4.186)145.045141
0.2417 (4.1379)17.100825
0.2444 (4.0909)17.948211
0.2472 (4.0449)180.561121
0.25 (4)3214.660713
0.2528 (3.956)24.558386
0.2556 (3.913)64.726622
0.2583 (3.871)6.980173
0.2611 (3.8298)4.3116
0.2639 (3.7895)26.912932
0.2667 (3.75)28.247971
0.2694 (3.7113)13.24734
0.2722 (3.6735)29.776018
0.275 (3.6364)0.270527
0.2778 (3.6)2.380007
0.2806 (3.5644)15.671698
0.2833 (3.5294)1.519492
0.2861 (3.4951)1.544784
0.2889 (3.4615)9.851937
0.2917 (3.4286)0.723356
0.2944 (3.3962)6.429949
0.2972 (3.3645)11.650356
0.3 (3.3333)5.764956
0.3028 (3.3028)4.088709
0.3056 (3.2727)9.267221
0.3083 (3.2432)3.584582
0.3111 (3.2143)28.353813
0.3139 (3.1858)7.147102
0.3167 (3.1579)17.176023
0.3194 (3.1304)25.985061
0.3222 (3.1034)9.750237
0.325 (3.0769)13.770949
0.3278 (3.0508)5.860758
0.3306 (3.0252)15.667575
0.3333 (3)1990.387801
0.3361 (2.9752)8.464495
0.3389 (2.9508)108.226058
0.3417 (2.9268)31.733631
0.3444 (2.9032)45.095813
0.3472 (2.88)42.800087
0.35 (2.8571)29.054898
0.3528 (2.8346)18.245877
0.3556 (2.8125)16.682316
0.3583 (2.7907)0.786191
0.3611 (2.7692)0.922965
0.3639 (2.7481)3.760751
0.3667 (2.7273)6.99007
0.3694 (2.7068)7.409328
0.3722 (2.6866)2.710076
0.375 (2.6667)4.07108
0.3778 (2.6471)4.937513
0.3806 (2.6277)9.492884
0.3833 (2.6087)11.892897
0.3861 (2.5899)4.963696
0.3889 (2.5714)8.387495
0.3917 (2.5532)0.582019
0.3944 (2.5352)2.966291
0.3972 (2.5175)4.785382
0.4 (2.5)12.409106
0.4028 (2.4828)2.57182
0.4056 (2.4658)9.308671
0.4083 (2.449)18.633175
0.4111 (2.4324)8.54454
0.4139 (2.4161)2.182925
0.4167 (2.4)906.700156
0.4194 (2.3841)6.632853
0.4222 (2.3684)63.787258
0.425 (2.3529)17.03993
0.4278 (2.3377)7.845852
0.4306 (2.3226)3.100059
0.4333 (2.3077)21.05523
0.4361 (2.293)0.428814
0.4389 (2.2785)7.910124
0.4417 (2.2642)4.195447
0.4444 (2.25)14.560401
0.4472 (2.236)0.825619
0.45 (2.2222)3.693155
0.4528 (2.2086)0.405023
0.4556 (2.1951)1.61595
0.4583 (2.1818)2.1451
0.4611 (2.1687)1.92698
0.4639 (2.1557)1.615056
0.4667 (2.1429)1.264608
0.4694 (2.1302)13.810998
0.4722 (2.1176)7.78302
0.475 (2.1053)1.930142
0.4778 (2.093)3.42756
0.4806 (2.0809)22.942318
0.4833 (2.069)1.325443
0.4861 (2.0571)4.317287
0.4889 (2.0455)5.216172
0.4917 (2.0339)25.527126
0.4944 (2.0225)20.171446
0.4972 (2.0112)31.273651
0.5 (2)408.772937

\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
0.0028 (360) & 15075.176555 \tabularnewline
0.0056 (180) & 160635.591233 \tabularnewline
0.0083 (120) & 416546.829084 \tabularnewline
0.0111 (90) & 3752.677766 \tabularnewline
0.0139 (72) & 2887.480664 \tabularnewline
0.0167 (60) & 16452.69649 \tabularnewline
0.0194 (51.4286) & 8416.376632 \tabularnewline
0.0222 (45) & 6851.887679 \tabularnewline
0.025 (40) & 866.668491 \tabularnewline
0.0278 (36) & 1367.654387 \tabularnewline
0.0306 (32.7273) & 1056.556379 \tabularnewline
0.0333 (30) & 91.475043 \tabularnewline
0.0361 (27.6923) & 448.925239 \tabularnewline
0.0389 (25.7143) & 1594.510548 \tabularnewline
0.0417 (24) & 73.301503 \tabularnewline
0.0444 (22.5) & 309.007646 \tabularnewline
0.0472 (21.1765) & 452.975661 \tabularnewline
0.05 (20) & 188.300766 \tabularnewline
0.0528 (18.9474) & 179.098259 \tabularnewline
0.0556 (18) & 154.557235 \tabularnewline
0.0583 (17.1429) & 340.91971 \tabularnewline
0.0611 (16.3636) & 63.752623 \tabularnewline
0.0639 (15.6522) & 66.175563 \tabularnewline
0.0667 (15) & 42.000893 \tabularnewline
0.0694 (14.4) & 754.705005 \tabularnewline
0.0722 (13.8462) & 528.896766 \tabularnewline
0.075 (13.3333) & 926.241028 \tabularnewline
0.0778 (12.8571) & 479.08648 \tabularnewline
0.0806 (12.4138) & 321.308796 \tabularnewline
0.0833 (12) & 51971.442397 \tabularnewline
0.0861 (11.6129) & 3328.062128 \tabularnewline
0.0889 (11.25) & 1402.716125 \tabularnewline
0.0917 (10.9091) & 793.437754 \tabularnewline
0.0944 (10.5882) & 346.979507 \tabularnewline
0.0972 (10.2857) & 192.236375 \tabularnewline
0.1 (10) & 22.078979 \tabularnewline
0.1028 (9.7297) & 60.272284 \tabularnewline
0.1056 (9.4737) & 14.408518 \tabularnewline
0.1083 (9.2308) & 2.100989 \tabularnewline
0.1111 (9) & 15.603934 \tabularnewline
0.1139 (8.7805) & 16.78578 \tabularnewline
0.1167 (8.5714) & 17.590355 \tabularnewline
0.1194 (8.3721) & 5.150171 \tabularnewline
0.1222 (8.1818) & 22.284741 \tabularnewline
0.125 (8) & 10.882092 \tabularnewline
0.1278 (7.8261) & 3.115742 \tabularnewline
0.1306 (7.6596) & 7.535282 \tabularnewline
0.1333 (7.5) & 15.529589 \tabularnewline
0.1361 (7.3469) & 75.639222 \tabularnewline
0.1389 (7.2) & 34.519937 \tabularnewline
0.1417 (7.0588) & 20.947616 \tabularnewline
0.1444 (6.9231) & 69.436936 \tabularnewline
0.1472 (6.7925) & 10.781525 \tabularnewline
0.15 (6.6667) & 31.606503 \tabularnewline
0.1528 (6.5455) & 145.903842 \tabularnewline
0.1556 (6.4286) & 218.732297 \tabularnewline
0.1583 (6.3158) & 65.428002 \tabularnewline
0.1611 (6.2069) & 139.458096 \tabularnewline
0.1639 (6.1017) & 871.522271 \tabularnewline
0.1667 (6) & 22306.927799 \tabularnewline
0.1694 (5.9016) & 223.131058 \tabularnewline
0.1722 (5.8065) & 370.084082 \tabularnewline
0.175 (5.7143) & 198.289593 \tabularnewline
0.1778 (5.625) & 194.257211 \tabularnewline
0.1806 (5.5385) & 77.405126 \tabularnewline
0.1833 (5.4545) & 26.396613 \tabularnewline
0.1861 (5.3731) & 67.974953 \tabularnewline
0.1889 (5.2941) & 37.492116 \tabularnewline
0.1917 (5.2174) & 15.216668 \tabularnewline
0.1944 (5.1429) & 6.974578 \tabularnewline
0.1972 (5.0704) & 13.990699 \tabularnewline
0.2 (5) & 5.188916 \tabularnewline
0.2028 (4.9315) & 3.137605 \tabularnewline
0.2056 (4.8649) & 2.526687 \tabularnewline
0.2083 (4.8) & 3.436864 \tabularnewline
0.2111 (4.7368) & 6.010086 \tabularnewline
0.2139 (4.6753) & 36.125292 \tabularnewline
0.2167 (4.6154) & 18.63641 \tabularnewline
0.2194 (4.557) & 11.429008 \tabularnewline
0.2222 (4.5) & 6.467361 \tabularnewline
0.225 (4.4444) & 4.720333 \tabularnewline
0.2278 (4.3902) & 8.394434 \tabularnewline
0.2306 (4.3373) & 1.334911 \tabularnewline
0.2333 (4.2857) & 25.726132 \tabularnewline
0.2361 (4.2353) & 10.350354 \tabularnewline
0.2389 (4.186) & 145.045141 \tabularnewline
0.2417 (4.1379) & 17.100825 \tabularnewline
0.2444 (4.0909) & 17.948211 \tabularnewline
0.2472 (4.0449) & 180.561121 \tabularnewline
0.25 (4) & 3214.660713 \tabularnewline
0.2528 (3.956) & 24.558386 \tabularnewline
0.2556 (3.913) & 64.726622 \tabularnewline
0.2583 (3.871) & 6.980173 \tabularnewline
0.2611 (3.8298) & 4.3116 \tabularnewline
0.2639 (3.7895) & 26.912932 \tabularnewline
0.2667 (3.75) & 28.247971 \tabularnewline
0.2694 (3.7113) & 13.24734 \tabularnewline
0.2722 (3.6735) & 29.776018 \tabularnewline
0.275 (3.6364) & 0.270527 \tabularnewline
0.2778 (3.6) & 2.380007 \tabularnewline
0.2806 (3.5644) & 15.671698 \tabularnewline
0.2833 (3.5294) & 1.519492 \tabularnewline
0.2861 (3.4951) & 1.544784 \tabularnewline
0.2889 (3.4615) & 9.851937 \tabularnewline
0.2917 (3.4286) & 0.723356 \tabularnewline
0.2944 (3.3962) & 6.429949 \tabularnewline
0.2972 (3.3645) & 11.650356 \tabularnewline
0.3 (3.3333) & 5.764956 \tabularnewline
0.3028 (3.3028) & 4.088709 \tabularnewline
0.3056 (3.2727) & 9.267221 \tabularnewline
0.3083 (3.2432) & 3.584582 \tabularnewline
0.3111 (3.2143) & 28.353813 \tabularnewline
0.3139 (3.1858) & 7.147102 \tabularnewline
0.3167 (3.1579) & 17.176023 \tabularnewline
0.3194 (3.1304) & 25.985061 \tabularnewline
0.3222 (3.1034) & 9.750237 \tabularnewline
0.325 (3.0769) & 13.770949 \tabularnewline
0.3278 (3.0508) & 5.860758 \tabularnewline
0.3306 (3.0252) & 15.667575 \tabularnewline
0.3333 (3) & 1990.387801 \tabularnewline
0.3361 (2.9752) & 8.464495 \tabularnewline
0.3389 (2.9508) & 108.226058 \tabularnewline
0.3417 (2.9268) & 31.733631 \tabularnewline
0.3444 (2.9032) & 45.095813 \tabularnewline
0.3472 (2.88) & 42.800087 \tabularnewline
0.35 (2.8571) & 29.054898 \tabularnewline
0.3528 (2.8346) & 18.245877 \tabularnewline
0.3556 (2.8125) & 16.682316 \tabularnewline
0.3583 (2.7907) & 0.786191 \tabularnewline
0.3611 (2.7692) & 0.922965 \tabularnewline
0.3639 (2.7481) & 3.760751 \tabularnewline
0.3667 (2.7273) & 6.99007 \tabularnewline
0.3694 (2.7068) & 7.409328 \tabularnewline
0.3722 (2.6866) & 2.710076 \tabularnewline
0.375 (2.6667) & 4.07108 \tabularnewline
0.3778 (2.6471) & 4.937513 \tabularnewline
0.3806 (2.6277) & 9.492884 \tabularnewline
0.3833 (2.6087) & 11.892897 \tabularnewline
0.3861 (2.5899) & 4.963696 \tabularnewline
0.3889 (2.5714) & 8.387495 \tabularnewline
0.3917 (2.5532) & 0.582019 \tabularnewline
0.3944 (2.5352) & 2.966291 \tabularnewline
0.3972 (2.5175) & 4.785382 \tabularnewline
0.4 (2.5) & 12.409106 \tabularnewline
0.4028 (2.4828) & 2.57182 \tabularnewline
0.4056 (2.4658) & 9.308671 \tabularnewline
0.4083 (2.449) & 18.633175 \tabularnewline
0.4111 (2.4324) & 8.54454 \tabularnewline
0.4139 (2.4161) & 2.182925 \tabularnewline
0.4167 (2.4) & 906.700156 \tabularnewline
0.4194 (2.3841) & 6.632853 \tabularnewline
0.4222 (2.3684) & 63.787258 \tabularnewline
0.425 (2.3529) & 17.03993 \tabularnewline
0.4278 (2.3377) & 7.845852 \tabularnewline
0.4306 (2.3226) & 3.100059 \tabularnewline
0.4333 (2.3077) & 21.05523 \tabularnewline
0.4361 (2.293) & 0.428814 \tabularnewline
0.4389 (2.2785) & 7.910124 \tabularnewline
0.4417 (2.2642) & 4.195447 \tabularnewline
0.4444 (2.25) & 14.560401 \tabularnewline
0.4472 (2.236) & 0.825619 \tabularnewline
0.45 (2.2222) & 3.693155 \tabularnewline
0.4528 (2.2086) & 0.405023 \tabularnewline
0.4556 (2.1951) & 1.61595 \tabularnewline
0.4583 (2.1818) & 2.1451 \tabularnewline
0.4611 (2.1687) & 1.92698 \tabularnewline
0.4639 (2.1557) & 1.615056 \tabularnewline
0.4667 (2.1429) & 1.264608 \tabularnewline
0.4694 (2.1302) & 13.810998 \tabularnewline
0.4722 (2.1176) & 7.78302 \tabularnewline
0.475 (2.1053) & 1.930142 \tabularnewline
0.4778 (2.093) & 3.42756 \tabularnewline
0.4806 (2.0809) & 22.942318 \tabularnewline
0.4833 (2.069) & 1.325443 \tabularnewline
0.4861 (2.0571) & 4.317287 \tabularnewline
0.4889 (2.0455) & 5.216172 \tabularnewline
0.4917 (2.0339) & 25.527126 \tabularnewline
0.4944 (2.0225) & 20.171446 \tabularnewline
0.4972 (2.0112) & 31.273651 \tabularnewline
0.5 (2) & 408.772937 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=66742&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]0.0028 (360)[/C][C]15075.176555[/C][/ROW]
[ROW][C]0.0056 (180)[/C][C]160635.591233[/C][/ROW]
[ROW][C]0.0083 (120)[/C][C]416546.829084[/C][/ROW]
[ROW][C]0.0111 (90)[/C][C]3752.677766[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]2887.480664[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]16452.69649[/C][/ROW]
[ROW][C]0.0194 (51.4286)[/C][C]8416.376632[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]6851.887679[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]866.668491[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]1367.654387[/C][/ROW]
[ROW][C]0.0306 (32.7273)[/C][C]1056.556379[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]91.475043[/C][/ROW]
[ROW][C]0.0361 (27.6923)[/C][C]448.925239[/C][/ROW]
[ROW][C]0.0389 (25.7143)[/C][C]1594.510548[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]73.301503[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]309.007646[/C][/ROW]
[ROW][C]0.0472 (21.1765)[/C][C]452.975661[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]188.300766[/C][/ROW]
[ROW][C]0.0528 (18.9474)[/C][C]179.098259[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]154.557235[/C][/ROW]
[ROW][C]0.0583 (17.1429)[/C][C]340.91971[/C][/ROW]
[ROW][C]0.0611 (16.3636)[/C][C]63.752623[/C][/ROW]
[ROW][C]0.0639 (15.6522)[/C][C]66.175563[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]42.000893[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]754.705005[/C][/ROW]
[ROW][C]0.0722 (13.8462)[/C][C]528.896766[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]926.241028[/C][/ROW]
[ROW][C]0.0778 (12.8571)[/C][C]479.08648[/C][/ROW]
[ROW][C]0.0806 (12.4138)[/C][C]321.308796[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]51971.442397[/C][/ROW]
[ROW][C]0.0861 (11.6129)[/C][C]3328.062128[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]1402.716125[/C][/ROW]
[ROW][C]0.0917 (10.9091)[/C][C]793.437754[/C][/ROW]
[ROW][C]0.0944 (10.5882)[/C][C]346.979507[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]192.236375[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]22.078979[/C][/ROW]
[ROW][C]0.1028 (9.7297)[/C][C]60.272284[/C][/ROW]
[ROW][C]0.1056 (9.4737)[/C][C]14.408518[/C][/ROW]
[ROW][C]0.1083 (9.2308)[/C][C]2.100989[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]15.603934[/C][/ROW]
[ROW][C]0.1139 (8.7805)[/C][C]16.78578[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]17.590355[/C][/ROW]
[ROW][C]0.1194 (8.3721)[/C][C]5.150171[/C][/ROW]
[ROW][C]0.1222 (8.1818)[/C][C]22.284741[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]10.882092[/C][/ROW]
[ROW][C]0.1278 (7.8261)[/C][C]3.115742[/C][/ROW]
[ROW][C]0.1306 (7.6596)[/C][C]7.535282[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]15.529589[/C][/ROW]
[ROW][C]0.1361 (7.3469)[/C][C]75.639222[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]34.519937[/C][/ROW]
[ROW][C]0.1417 (7.0588)[/C][C]20.947616[/C][/ROW]
[ROW][C]0.1444 (6.9231)[/C][C]69.436936[/C][/ROW]
[ROW][C]0.1472 (6.7925)[/C][C]10.781525[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]31.606503[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]145.903842[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]218.732297[/C][/ROW]
[ROW][C]0.1583 (6.3158)[/C][C]65.428002[/C][/ROW]
[ROW][C]0.1611 (6.2069)[/C][C]139.458096[/C][/ROW]
[ROW][C]0.1639 (6.1017)[/C][C]871.522271[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]22306.927799[/C][/ROW]
[ROW][C]0.1694 (5.9016)[/C][C]223.131058[/C][/ROW]
[ROW][C]0.1722 (5.8065)[/C][C]370.084082[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]198.289593[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]194.257211[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]77.405126[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]26.396613[/C][/ROW]
[ROW][C]0.1861 (5.3731)[/C][C]67.974953[/C][/ROW]
[ROW][C]0.1889 (5.2941)[/C][C]37.492116[/C][/ROW]
[ROW][C]0.1917 (5.2174)[/C][C]15.216668[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]6.974578[/C][/ROW]
[ROW][C]0.1972 (5.0704)[/C][C]13.990699[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]5.188916[/C][/ROW]
[ROW][C]0.2028 (4.9315)[/C][C]3.137605[/C][/ROW]
[ROW][C]0.2056 (4.8649)[/C][C]2.526687[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]3.436864[/C][/ROW]
[ROW][C]0.2111 (4.7368)[/C][C]6.010086[/C][/ROW]
[ROW][C]0.2139 (4.6753)[/C][C]36.125292[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]18.63641[/C][/ROW]
[ROW][C]0.2194 (4.557)[/C][C]11.429008[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]6.467361[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]4.720333[/C][/ROW]
[ROW][C]0.2278 (4.3902)[/C][C]8.394434[/C][/ROW]
[ROW][C]0.2306 (4.3373)[/C][C]1.334911[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]25.726132[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]10.350354[/C][/ROW]
[ROW][C]0.2389 (4.186)[/C][C]145.045141[/C][/ROW]
[ROW][C]0.2417 (4.1379)[/C][C]17.100825[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]17.948211[/C][/ROW]
[ROW][C]0.2472 (4.0449)[/C][C]180.561121[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]3214.660713[/C][/ROW]
[ROW][C]0.2528 (3.956)[/C][C]24.558386[/C][/ROW]
[ROW][C]0.2556 (3.913)[/C][C]64.726622[/C][/ROW]
[ROW][C]0.2583 (3.871)[/C][C]6.980173[/C][/ROW]
[ROW][C]0.2611 (3.8298)[/C][C]4.3116[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]26.912932[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]28.247971[/C][/ROW]
[ROW][C]0.2694 (3.7113)[/C][C]13.24734[/C][/ROW]
[ROW][C]0.2722 (3.6735)[/C][C]29.776018[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]0.270527[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]2.380007[/C][/ROW]
[ROW][C]0.2806 (3.5644)[/C][C]15.671698[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]1.519492[/C][/ROW]
[ROW][C]0.2861 (3.4951)[/C][C]1.544784[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]9.851937[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]0.723356[/C][/ROW]
[ROW][C]0.2944 (3.3962)[/C][C]6.429949[/C][/ROW]
[ROW][C]0.2972 (3.3645)[/C][C]11.650356[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]5.764956[/C][/ROW]
[ROW][C]0.3028 (3.3028)[/C][C]4.088709[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]9.267221[/C][/ROW]
[ROW][C]0.3083 (3.2432)[/C][C]3.584582[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]28.353813[/C][/ROW]
[ROW][C]0.3139 (3.1858)[/C][C]7.147102[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]17.176023[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]25.985061[/C][/ROW]
[ROW][C]0.3222 (3.1034)[/C][C]9.750237[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]13.770949[/C][/ROW]
[ROW][C]0.3278 (3.0508)[/C][C]5.860758[/C][/ROW]
[ROW][C]0.3306 (3.0252)[/C][C]15.667575[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]1990.387801[/C][/ROW]
[ROW][C]0.3361 (2.9752)[/C][C]8.464495[/C][/ROW]
[ROW][C]0.3389 (2.9508)[/C][C]108.226058[/C][/ROW]
[ROW][C]0.3417 (2.9268)[/C][C]31.733631[/C][/ROW]
[ROW][C]0.3444 (2.9032)[/C][C]45.095813[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]42.800087[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]29.054898[/C][/ROW]
[ROW][C]0.3528 (2.8346)[/C][C]18.245877[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]16.682316[/C][/ROW]
[ROW][C]0.3583 (2.7907)[/C][C]0.786191[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]0.922965[/C][/ROW]
[ROW][C]0.3639 (2.7481)[/C][C]3.760751[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]6.99007[/C][/ROW]
[ROW][C]0.3694 (2.7068)[/C][C]7.409328[/C][/ROW]
[ROW][C]0.3722 (2.6866)[/C][C]2.710076[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]4.07108[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]4.937513[/C][/ROW]
[ROW][C]0.3806 (2.6277)[/C][C]9.492884[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]11.892897[/C][/ROW]
[ROW][C]0.3861 (2.5899)[/C][C]4.963696[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]8.387495[/C][/ROW]
[ROW][C]0.3917 (2.5532)[/C][C]0.582019[/C][/ROW]
[ROW][C]0.3944 (2.5352)[/C][C]2.966291[/C][/ROW]
[ROW][C]0.3972 (2.5175)[/C][C]4.785382[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]12.409106[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]2.57182[/C][/ROW]
[ROW][C]0.4056 (2.4658)[/C][C]9.308671[/C][/ROW]
[ROW][C]0.4083 (2.449)[/C][C]18.633175[/C][/ROW]
[ROW][C]0.4111 (2.4324)[/C][C]8.54454[/C][/ROW]
[ROW][C]0.4139 (2.4161)[/C][C]2.182925[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]906.700156[/C][/ROW]
[ROW][C]0.4194 (2.3841)[/C][C]6.632853[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]63.787258[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]17.03993[/C][/ROW]
[ROW][C]0.4278 (2.3377)[/C][C]7.845852[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]3.100059[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]21.05523[/C][/ROW]
[ROW][C]0.4361 (2.293)[/C][C]0.428814[/C][/ROW]
[ROW][C]0.4389 (2.2785)[/C][C]7.910124[/C][/ROW]
[ROW][C]0.4417 (2.2642)[/C][C]4.195447[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]14.560401[/C][/ROW]
[ROW][C]0.4472 (2.236)[/C][C]0.825619[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]3.693155[/C][/ROW]
[ROW][C]0.4528 (2.2086)[/C][C]0.405023[/C][/ROW]
[ROW][C]0.4556 (2.1951)[/C][C]1.61595[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]2.1451[/C][/ROW]
[ROW][C]0.4611 (2.1687)[/C][C]1.92698[/C][/ROW]
[ROW][C]0.4639 (2.1557)[/C][C]1.615056[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]1.264608[/C][/ROW]
[ROW][C]0.4694 (2.1302)[/C][C]13.810998[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]7.78302[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]1.930142[/C][/ROW]
[ROW][C]0.4778 (2.093)[/C][C]3.42756[/C][/ROW]
[ROW][C]0.4806 (2.0809)[/C][C]22.942318[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]1.325443[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]4.317287[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]5.216172[/C][/ROW]
[ROW][C]0.4917 (2.0339)[/C][C]25.527126[/C][/ROW]
[ROW][C]0.4944 (2.0225)[/C][C]20.171446[/C][/ROW]
[ROW][C]0.4972 (2.0112)[/C][C]31.273651[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]408.772937[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=66742&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66742&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
0.0028 (360)15075.176555
0.0056 (180)160635.591233
0.0083 (120)416546.829084
0.0111 (90)3752.677766
0.0139 (72)2887.480664
0.0167 (60)16452.69649
0.0194 (51.4286)8416.376632
0.0222 (45)6851.887679
0.025 (40)866.668491
0.0278 (36)1367.654387
0.0306 (32.7273)1056.556379
0.0333 (30)91.475043
0.0361 (27.6923)448.925239
0.0389 (25.7143)1594.510548
0.0417 (24)73.301503
0.0444 (22.5)309.007646
0.0472 (21.1765)452.975661
0.05 (20)188.300766
0.0528 (18.9474)179.098259
0.0556 (18)154.557235
0.0583 (17.1429)340.91971
0.0611 (16.3636)63.752623
0.0639 (15.6522)66.175563
0.0667 (15)42.000893
0.0694 (14.4)754.705005
0.0722 (13.8462)528.896766
0.075 (13.3333)926.241028
0.0778 (12.8571)479.08648
0.0806 (12.4138)321.308796
0.0833 (12)51971.442397
0.0861 (11.6129)3328.062128
0.0889 (11.25)1402.716125
0.0917 (10.9091)793.437754
0.0944 (10.5882)346.979507
0.0972 (10.2857)192.236375
0.1 (10)22.078979
0.1028 (9.7297)60.272284
0.1056 (9.4737)14.408518
0.1083 (9.2308)2.100989
0.1111 (9)15.603934
0.1139 (8.7805)16.78578
0.1167 (8.5714)17.590355
0.1194 (8.3721)5.150171
0.1222 (8.1818)22.284741
0.125 (8)10.882092
0.1278 (7.8261)3.115742
0.1306 (7.6596)7.535282
0.1333 (7.5)15.529589
0.1361 (7.3469)75.639222
0.1389 (7.2)34.519937
0.1417 (7.0588)20.947616
0.1444 (6.9231)69.436936
0.1472 (6.7925)10.781525
0.15 (6.6667)31.606503
0.1528 (6.5455)145.903842
0.1556 (6.4286)218.732297
0.1583 (6.3158)65.428002
0.1611 (6.2069)139.458096
0.1639 (6.1017)871.522271
0.1667 (6)22306.927799
0.1694 (5.9016)223.131058
0.1722 (5.8065)370.084082
0.175 (5.7143)198.289593
0.1778 (5.625)194.257211
0.1806 (5.5385)77.405126
0.1833 (5.4545)26.396613
0.1861 (5.3731)67.974953
0.1889 (5.2941)37.492116
0.1917 (5.2174)15.216668
0.1944 (5.1429)6.974578
0.1972 (5.0704)13.990699
0.2 (5)5.188916
0.2028 (4.9315)3.137605
0.2056 (4.8649)2.526687
0.2083 (4.8)3.436864
0.2111 (4.7368)6.010086
0.2139 (4.6753)36.125292
0.2167 (4.6154)18.63641
0.2194 (4.557)11.429008
0.2222 (4.5)6.467361
0.225 (4.4444)4.720333
0.2278 (4.3902)8.394434
0.2306 (4.3373)1.334911
0.2333 (4.2857)25.726132
0.2361 (4.2353)10.350354
0.2389 (4.186)145.045141
0.2417 (4.1379)17.100825
0.2444 (4.0909)17.948211
0.2472 (4.0449)180.561121
0.25 (4)3214.660713
0.2528 (3.956)24.558386
0.2556 (3.913)64.726622
0.2583 (3.871)6.980173
0.2611 (3.8298)4.3116
0.2639 (3.7895)26.912932
0.2667 (3.75)28.247971
0.2694 (3.7113)13.24734
0.2722 (3.6735)29.776018
0.275 (3.6364)0.270527
0.2778 (3.6)2.380007
0.2806 (3.5644)15.671698
0.2833 (3.5294)1.519492
0.2861 (3.4951)1.544784
0.2889 (3.4615)9.851937
0.2917 (3.4286)0.723356
0.2944 (3.3962)6.429949
0.2972 (3.3645)11.650356
0.3 (3.3333)5.764956
0.3028 (3.3028)4.088709
0.3056 (3.2727)9.267221
0.3083 (3.2432)3.584582
0.3111 (3.2143)28.353813
0.3139 (3.1858)7.147102
0.3167 (3.1579)17.176023
0.3194 (3.1304)25.985061
0.3222 (3.1034)9.750237
0.325 (3.0769)13.770949
0.3278 (3.0508)5.860758
0.3306 (3.0252)15.667575
0.3333 (3)1990.387801
0.3361 (2.9752)8.464495
0.3389 (2.9508)108.226058
0.3417 (2.9268)31.733631
0.3444 (2.9032)45.095813
0.3472 (2.88)42.800087
0.35 (2.8571)29.054898
0.3528 (2.8346)18.245877
0.3556 (2.8125)16.682316
0.3583 (2.7907)0.786191
0.3611 (2.7692)0.922965
0.3639 (2.7481)3.760751
0.3667 (2.7273)6.99007
0.3694 (2.7068)7.409328
0.3722 (2.6866)2.710076
0.375 (2.6667)4.07108
0.3778 (2.6471)4.937513
0.3806 (2.6277)9.492884
0.3833 (2.6087)11.892897
0.3861 (2.5899)4.963696
0.3889 (2.5714)8.387495
0.3917 (2.5532)0.582019
0.3944 (2.5352)2.966291
0.3972 (2.5175)4.785382
0.4 (2.5)12.409106
0.4028 (2.4828)2.57182
0.4056 (2.4658)9.308671
0.4083 (2.449)18.633175
0.4111 (2.4324)8.54454
0.4139 (2.4161)2.182925
0.4167 (2.4)906.700156
0.4194 (2.3841)6.632853
0.4222 (2.3684)63.787258
0.425 (2.3529)17.03993
0.4278 (2.3377)7.845852
0.4306 (2.3226)3.100059
0.4333 (2.3077)21.05523
0.4361 (2.293)0.428814
0.4389 (2.2785)7.910124
0.4417 (2.2642)4.195447
0.4444 (2.25)14.560401
0.4472 (2.236)0.825619
0.45 (2.2222)3.693155
0.4528 (2.2086)0.405023
0.4556 (2.1951)1.61595
0.4583 (2.1818)2.1451
0.4611 (2.1687)1.92698
0.4639 (2.1557)1.615056
0.4667 (2.1429)1.264608
0.4694 (2.1302)13.810998
0.4722 (2.1176)7.78302
0.475 (2.1053)1.930142
0.4778 (2.093)3.42756
0.4806 (2.0809)22.942318
0.4833 (2.069)1.325443
0.4861 (2.0571)4.317287
0.4889 (2.0455)5.216172
0.4917 (2.0339)25.527126
0.4944 (2.0225)20.171446
0.4972 (2.0112)31.273651
0.5 (2)408.772937


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')