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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 computationTue, 07 Dec 2010 09:52:25 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/07/t1291715428kvp8vv4apmfwhj6.htm/, Retrieved Sat, 04 May 2024 05:29:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106092, Retrieved Sat, 04 May 2024 05:29:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124
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]
- RMP   [Spectral Analysis] [Unemployment] [2010-11-29 09:21:38] [b98453cac15ba1066b407e146608df68]
- R  D      [Spectral Analysis] [Workshop 9; Coffe...] [2010-12-07 09:52:25] [50e0b5177c9c80b42996aa89930b928a] [Current]
-   P         [Spectral Analysis] [Workshop 9; Coffe...] [2010-12-07 10:00:10] [8ffb4cfa64b4677df0d2c448735a40bb]
-   P           [Spectral Analysis] [Workshop 9; Coffe...] [2010-12-07 10:10:34] [8ffb4cfa64b4677df0d2c448735a40bb]
-    D        [Spectral Analysis] [Paper; CP Coffee;...] [2010-12-21 15:08:24] [8ffb4cfa64b4677df0d2c448735a40bb]
-   PD        [Spectral Analysis] [Paper; CP Coffee;...] [2010-12-21 15:10:29] [8ffb4cfa64b4677df0d2c448735a40bb]
-   P           [Spectral Analysis] [Paper; CP Coffee;...] [2010-12-21 15:23:17] [8ffb4cfa64b4677df0d2c448735a40bb]
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Dataseries X:
168.67
164.83
184.38
180.81
190.54
181.41
155.67
135.99
125.88
126.09
114.86
127.98
127.98
125.11
125.93
128.2
125.93
111.94
120.01
124.09
126.02
136.41
143.79
141.67
143.9
155
144.83
141.4
137
141.02
131.11
132.83
136.73
141.18
137.86
133.79
128.53
125.87
124.27
123.96
128.15
126.4
127.86
129.31
132.56
141.28
145.55
146.54
143.14
145.72
148.21
150.4
149.94
146.66
143.37
145.29
140.24
136.12
140.25
140.64
145.58
143.73
141.27
140.66
141.94
141.16
134.31
132.93
133.07
140.48
154.85
196.77
235.3
226.52
237.62
224.07
208.74
174.54
170.63
172.23
198.36
175.91
154.63
134.31
121.75
119.6
102.04
106.3
116.38
103.72
98.56
100.9
110
118.26
124.77
125.22
126.38
137.14
134.74
134.3
136.39
141.83
139.24
128.89
134.83
130.43
132.09
144.95
149.5
137.57
139.38
143.06
138.65
123.21
85.91
77.4
77.84
67.76
70.72
72.55
75.83
84.01
93.96
93.73
92.02
88.26
86.48
94.42
94.92
91.41
84.84
89.89
86.32
89.57
93.72
92.27
87.59
85.5
82.81
81.62
87.45
79.86
78.52
75.1
72.99
67.88
70.14
65.43
60.26
58.38
57.68
52.42
52.73
61.4
67.13
77.46
68.66
67.46
62.77
56.88
61.48
61.99
71.56
76.56
79.82
75.05
77.07
80
77.21
82.16
85.57
89.23
121.98
142.56
217.67
198.07
220.1
198.68
181.64
167.47
172.33
168.71
178.22
172.81
168.83
152.25
143.83
151.41
131.87
125.38
123.23
103.99
109.38
123.79
119.05
122.01
128.56
127.91
120.47
122.49
114.05
120.62
119.61
115.01
131.83
167.2
193.82
204.43
264.5
212.55
186.52
185.17
184.38
161.45
154.15
174.25
175.04
175.87
154.82
147.08
134.35
121.56
113.86
119.89
108.07
107.07
115.14
116.03
111.48
103.24
103.23
99.69
108.91
104.21
90.85
87.64
81.06
92.2
114.02
123.56
109.17
101.65
97.95
92.56
91.76
84.1
84.67
74.52
73.83
75.37
70.47
64.5
64.98
66.94
65.93
65.51
68.94
63.67
58.47
59.68
57.71
56.53
58.96
55.6
57.34
60.51
66.38
65.78
58.43
55.16
53.09
52.02
57.58
64.05
70.18
63.86
65.22
67.6
61.66
65.32
66.18
61.34
62.29
63.6
65.51
62.58
62.36
64.88
73.73
77.51
77.47
74.34
75.81
82.16
73.96
73.17
80.99
79.81
89.51
102.57
107.11
122.23
134.69
128.79
126.16
119.98
108.45
108.43
98.17
106.09
108.81
103.03
124.36
118.52
112.2
114.71
107.96
101.21
102.77
112.13
109.36
110.91
123.57
129.95
124.46
122.34
116.61
114.59
112.52
118.67
116.8
123.63
128.04
134.57
130.33
136.47
139.05
158.21
148.07
137.74
139.74
144.08
145.35
145.77
140.56
121.41
120.44
116.97
128.03
128.51
127.76
134.58
147.64
144.46
137.6
146.87
145.67
151.95
150.23
155.86
154.4
156.36
162.13
171.06
174.01
193.52
205.26
212.8
222.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106092&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]5 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=106092&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106092&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 time5 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
0.0027 (375)14934.113688
0.0053 (187.5)33564.133674
0.008 (125)120441.9924
0.0107 (93.75)4140.50374
0.0133 (75)131.750477
0.016 (62.5)817.462563
0.0187 (53.5714)4513.194275
0.0213 (46.875)4612.522866
0.024 (41.6667)3273.666579
0.0267 (37.5)10126.485584
0.0293 (34.0909)20298.38422
0.032 (31.25)7600.288599
0.0347 (28.8462)3072.461652
0.0373 (26.7857)9873.571188
0.04 (25)6179.324048
0.0427 (23.4375)475.538589
0.0453 (22.0588)630.034063
0.048 (20.8333)1343.476488
0.0507 (19.7368)313.235729
0.0533 (18.75)708.424414
0.056 (17.8571)934.355463
0.0587 (17.0455)1834.258324
0.0613 (16.3043)4079.669518
0.064 (15.625)177.427714
0.0667 (15)155.26397
0.0693 (14.4231)206.164575
0.072 (13.8889)52.177671
0.0747 (13.3929)489.704142
0.0773 (12.931)449.385301
0.08 (12.5)714.746258
0.0827 (12.0968)1449.800492
0.0853 (11.7188)268.382148
0.088 (11.3636)1700.079911
0.0907 (11.0294)783.067463
0.0933 (10.7143)1614.893339
0.096 (10.4167)2635.729578
0.0987 (10.1351)595.75169
0.1013 (9.8684)26.461923
0.104 (9.6154)1176.870588
0.1067 (9.375)219.538994
0.1093 (9.1463)531.728038
0.112 (8.9286)132.00306
0.1147 (8.7209)42.900085
0.1173 (8.5227)599.939228
0.12 (8.3333)623.206499
0.1227 (8.1522)95.308386
0.1253 (7.9787)815.983794
0.128 (7.8125)215.895808
0.1307 (7.6531)30.283126
0.1333 (7.5)269.357188
0.136 (7.3529)56.118953
0.1387 (7.2115)183.864984
0.1413 (7.0755)114.529685
0.144 (6.9444)183.538483
0.1467 (6.8182)234.592552
0.1493 (6.6964)447.567662
0.152 (6.5789)89.313282
0.1547 (6.4655)269.63547
0.1573 (6.3559)199.443857
0.16 (6.25)116.762369
0.1627 (6.1475)28.26034
0.1653 (6.0484)18.525354
0.168 (5.9524)38.439748
0.1707 (5.8594)46.55589
0.1733 (5.7692)110.469916
0.176 (5.6818)17.960712
0.1787 (5.597)13.63313
0.1813 (5.5147)79.281475
0.184 (5.4348)48.02116
0.1867 (5.3571)16.477021
0.1893 (5.2817)92.176617
0.192 (5.2083)129.698441
0.1947 (5.137)13.7283
0.1973 (5.0676)72.241396
0.2 (5)78.853145
0.2027 (4.9342)30.727816
0.2053 (4.8701)9.405057
0.208 (4.8077)70.169365
0.2107 (4.7468)51.754146
0.2133 (4.6875)97.202714
0.216 (4.6296)9.955993
0.2187 (4.5732)15.7957
0.2213 (4.5181)77.678367
0.224 (4.4643)3.92764
0.2267 (4.4118)54.906989
0.2293 (4.3605)28.854249
0.232 (4.3103)8.337347
0.2347 (4.2614)94.856156
0.2373 (4.2135)7.691304
0.24 (4.1667)32.88409
0.2427 (4.1209)68.64662
0.2453 (4.0761)16.719773
0.248 (4.0323)35.895477
0.2507 (3.9894)72.761464
0.2533 (3.9474)27.52062
0.256 (3.9063)52.99405
0.2587 (3.866)107.302785
0.2613 (3.8265)68.322328
0.264 (3.7879)91.706733
0.2667 (3.75)17.262243
0.2693 (3.7129)55.302614
0.272 (3.6765)98.621086
0.2747 (3.6408)2.033646
0.2773 (3.6058)35.467274
0.28 (3.5714)88.41595
0.2827 (3.5377)6.609214
0.2853 (3.5047)36.211205
0.288 (3.4722)62.18282
0.2907 (3.4404)74.46244
0.2933 (3.4091)25.950055
0.296 (3.3784)29.880596
0.2987 (3.3482)44.827106
0.3013 (3.3186)4.693751
0.304 (3.2895)43.386793
0.3067 (3.2609)41.217499
0.3093 (3.2328)20.002312
0.312 (3.2051)22.729542
0.3147 (3.178)23.437085
0.3173 (3.1513)55.819277
0.32 (3.125)43.470995
0.3227 (3.0992)71.601933
0.3253 (3.0738)93.477524
0.328 (3.0488)47.80464
0.3307 (3.0242)21.659589
0.3333 (3)72.823677
0.336 (2.9762)55.518785
0.3387 (2.9528)30.54787
0.3413 (2.9297)5.09582
0.344 (2.907)13.2735
0.3467 (2.8846)4.057475
0.3493 (2.8626)3.341642
0.352 (2.8409)19.674586
0.3547 (2.8195)8.0709
0.3573 (2.7985)14.553437
0.36 (2.7778)69.54
0.3627 (2.7574)17.382389
0.3653 (2.7372)41.96444
0.368 (2.7174)2.129007
0.3707 (2.6978)22.556516
0.3733 (2.6786)31.978735
0.376 (2.6596)48.2508
0.3787 (2.6408)37.224647
0.3813 (2.6224)19.549045
0.384 (2.6042)25.477542
0.3867 (2.5862)11.871352
0.3893 (2.5685)16.695512
0.392 (2.551)60.17167
0.3947 (2.5338)2.843876
0.3973 (2.5168)2.594854
0.4 (2.5)14.942155
0.4027 (2.4834)0.770729
0.4053 (2.4671)15.998186
0.408 (2.451)7.169578
0.4107 (2.4351)31.542204
0.4133 (2.4194)50.264021
0.416 (2.4038)23.778051
0.4187 (2.3885)13.054029
0.4213 (2.3734)9.233324
0.424 (2.3585)4.981835
0.4267 (2.3438)9.596772
0.4293 (2.3292)37.470173
0.432 (2.3148)33.664125
0.4347 (2.3006)12.873212
0.4373 (2.2866)19.270329
0.44 (2.2727)86.099748
0.4427 (2.259)75.410034
0.4453 (2.2455)15.095783
0.448 (2.2321)60.007985
0.4507 (2.2189)2.820134
0.4533 (2.2059)19.699162
0.456 (2.193)3.27127
0.4587 (2.1802)15.351942
0.4613 (2.1676)17.516948
0.464 (2.1552)42.528671
0.4667 (2.1429)48.50937
0.4693 (2.1307)108.710343
0.472 (2.1186)64.182343
0.4747 (2.1067)7.998608
0.4773 (2.095)38.944194
0.48 (2.0833)12.798514
0.4827 (2.0718)14.064994
0.4853 (2.0604)1.294896
0.488 (2.0492)20.797091
0.4907 (2.038)67.429358
0.4933 (2.027)5.035099
0.496 (2.0161)21.048322
0.4987 (2.0053)52.107283

\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
0.0027 (375) & 14934.113688 \tabularnewline
0.0053 (187.5) & 33564.133674 \tabularnewline
0.008 (125) & 120441.9924 \tabularnewline
0.0107 (93.75) & 4140.50374 \tabularnewline
0.0133 (75) & 131.750477 \tabularnewline
0.016 (62.5) & 817.462563 \tabularnewline
0.0187 (53.5714) & 4513.194275 \tabularnewline
0.0213 (46.875) & 4612.522866 \tabularnewline
0.024 (41.6667) & 3273.666579 \tabularnewline
0.0267 (37.5) & 10126.485584 \tabularnewline
0.0293 (34.0909) & 20298.38422 \tabularnewline
0.032 (31.25) & 7600.288599 \tabularnewline
0.0347 (28.8462) & 3072.461652 \tabularnewline
0.0373 (26.7857) & 9873.571188 \tabularnewline
0.04 (25) & 6179.324048 \tabularnewline
0.0427 (23.4375) & 475.538589 \tabularnewline
0.0453 (22.0588) & 630.034063 \tabularnewline
0.048 (20.8333) & 1343.476488 \tabularnewline
0.0507 (19.7368) & 313.235729 \tabularnewline
0.0533 (18.75) & 708.424414 \tabularnewline
0.056 (17.8571) & 934.355463 \tabularnewline
0.0587 (17.0455) & 1834.258324 \tabularnewline
0.0613 (16.3043) & 4079.669518 \tabularnewline
0.064 (15.625) & 177.427714 \tabularnewline
0.0667 (15) & 155.26397 \tabularnewline
0.0693 (14.4231) & 206.164575 \tabularnewline
0.072 (13.8889) & 52.177671 \tabularnewline
0.0747 (13.3929) & 489.704142 \tabularnewline
0.0773 (12.931) & 449.385301 \tabularnewline
0.08 (12.5) & 714.746258 \tabularnewline
0.0827 (12.0968) & 1449.800492 \tabularnewline
0.0853 (11.7188) & 268.382148 \tabularnewline
0.088 (11.3636) & 1700.079911 \tabularnewline
0.0907 (11.0294) & 783.067463 \tabularnewline
0.0933 (10.7143) & 1614.893339 \tabularnewline
0.096 (10.4167) & 2635.729578 \tabularnewline
0.0987 (10.1351) & 595.75169 \tabularnewline
0.1013 (9.8684) & 26.461923 \tabularnewline
0.104 (9.6154) & 1176.870588 \tabularnewline
0.1067 (9.375) & 219.538994 \tabularnewline
0.1093 (9.1463) & 531.728038 \tabularnewline
0.112 (8.9286) & 132.00306 \tabularnewline
0.1147 (8.7209) & 42.900085 \tabularnewline
0.1173 (8.5227) & 599.939228 \tabularnewline
0.12 (8.3333) & 623.206499 \tabularnewline
0.1227 (8.1522) & 95.308386 \tabularnewline
0.1253 (7.9787) & 815.983794 \tabularnewline
0.128 (7.8125) & 215.895808 \tabularnewline
0.1307 (7.6531) & 30.283126 \tabularnewline
0.1333 (7.5) & 269.357188 \tabularnewline
0.136 (7.3529) & 56.118953 \tabularnewline
0.1387 (7.2115) & 183.864984 \tabularnewline
0.1413 (7.0755) & 114.529685 \tabularnewline
0.144 (6.9444) & 183.538483 \tabularnewline
0.1467 (6.8182) & 234.592552 \tabularnewline
0.1493 (6.6964) & 447.567662 \tabularnewline
0.152 (6.5789) & 89.313282 \tabularnewline
0.1547 (6.4655) & 269.63547 \tabularnewline
0.1573 (6.3559) & 199.443857 \tabularnewline
0.16 (6.25) & 116.762369 \tabularnewline
0.1627 (6.1475) & 28.26034 \tabularnewline
0.1653 (6.0484) & 18.525354 \tabularnewline
0.168 (5.9524) & 38.439748 \tabularnewline
0.1707 (5.8594) & 46.55589 \tabularnewline
0.1733 (5.7692) & 110.469916 \tabularnewline
0.176 (5.6818) & 17.960712 \tabularnewline
0.1787 (5.597) & 13.63313 \tabularnewline
0.1813 (5.5147) & 79.281475 \tabularnewline
0.184 (5.4348) & 48.02116 \tabularnewline
0.1867 (5.3571) & 16.477021 \tabularnewline
0.1893 (5.2817) & 92.176617 \tabularnewline
0.192 (5.2083) & 129.698441 \tabularnewline
0.1947 (5.137) & 13.7283 \tabularnewline
0.1973 (5.0676) & 72.241396 \tabularnewline
0.2 (5) & 78.853145 \tabularnewline
0.2027 (4.9342) & 30.727816 \tabularnewline
0.2053 (4.8701) & 9.405057 \tabularnewline
0.208 (4.8077) & 70.169365 \tabularnewline
0.2107 (4.7468) & 51.754146 \tabularnewline
0.2133 (4.6875) & 97.202714 \tabularnewline
0.216 (4.6296) & 9.955993 \tabularnewline
0.2187 (4.5732) & 15.7957 \tabularnewline
0.2213 (4.5181) & 77.678367 \tabularnewline
0.224 (4.4643) & 3.92764 \tabularnewline
0.2267 (4.4118) & 54.906989 \tabularnewline
0.2293 (4.3605) & 28.854249 \tabularnewline
0.232 (4.3103) & 8.337347 \tabularnewline
0.2347 (4.2614) & 94.856156 \tabularnewline
0.2373 (4.2135) & 7.691304 \tabularnewline
0.24 (4.1667) & 32.88409 \tabularnewline
0.2427 (4.1209) & 68.64662 \tabularnewline
0.2453 (4.0761) & 16.719773 \tabularnewline
0.248 (4.0323) & 35.895477 \tabularnewline
0.2507 (3.9894) & 72.761464 \tabularnewline
0.2533 (3.9474) & 27.52062 \tabularnewline
0.256 (3.9063) & 52.99405 \tabularnewline
0.2587 (3.866) & 107.302785 \tabularnewline
0.2613 (3.8265) & 68.322328 \tabularnewline
0.264 (3.7879) & 91.706733 \tabularnewline
0.2667 (3.75) & 17.262243 \tabularnewline
0.2693 (3.7129) & 55.302614 \tabularnewline
0.272 (3.6765) & 98.621086 \tabularnewline
0.2747 (3.6408) & 2.033646 \tabularnewline
0.2773 (3.6058) & 35.467274 \tabularnewline
0.28 (3.5714) & 88.41595 \tabularnewline
0.2827 (3.5377) & 6.609214 \tabularnewline
0.2853 (3.5047) & 36.211205 \tabularnewline
0.288 (3.4722) & 62.18282 \tabularnewline
0.2907 (3.4404) & 74.46244 \tabularnewline
0.2933 (3.4091) & 25.950055 \tabularnewline
0.296 (3.3784) & 29.880596 \tabularnewline
0.2987 (3.3482) & 44.827106 \tabularnewline
0.3013 (3.3186) & 4.693751 \tabularnewline
0.304 (3.2895) & 43.386793 \tabularnewline
0.3067 (3.2609) & 41.217499 \tabularnewline
0.3093 (3.2328) & 20.002312 \tabularnewline
0.312 (3.2051) & 22.729542 \tabularnewline
0.3147 (3.178) & 23.437085 \tabularnewline
0.3173 (3.1513) & 55.819277 \tabularnewline
0.32 (3.125) & 43.470995 \tabularnewline
0.3227 (3.0992) & 71.601933 \tabularnewline
0.3253 (3.0738) & 93.477524 \tabularnewline
0.328 (3.0488) & 47.80464 \tabularnewline
0.3307 (3.0242) & 21.659589 \tabularnewline
0.3333 (3) & 72.823677 \tabularnewline
0.336 (2.9762) & 55.518785 \tabularnewline
0.3387 (2.9528) & 30.54787 \tabularnewline
0.3413 (2.9297) & 5.09582 \tabularnewline
0.344 (2.907) & 13.2735 \tabularnewline
0.3467 (2.8846) & 4.057475 \tabularnewline
0.3493 (2.8626) & 3.341642 \tabularnewline
0.352 (2.8409) & 19.674586 \tabularnewline
0.3547 (2.8195) & 8.0709 \tabularnewline
0.3573 (2.7985) & 14.553437 \tabularnewline
0.36 (2.7778) & 69.54 \tabularnewline
0.3627 (2.7574) & 17.382389 \tabularnewline
0.3653 (2.7372) & 41.96444 \tabularnewline
0.368 (2.7174) & 2.129007 \tabularnewline
0.3707 (2.6978) & 22.556516 \tabularnewline
0.3733 (2.6786) & 31.978735 \tabularnewline
0.376 (2.6596) & 48.2508 \tabularnewline
0.3787 (2.6408) & 37.224647 \tabularnewline
0.3813 (2.6224) & 19.549045 \tabularnewline
0.384 (2.6042) & 25.477542 \tabularnewline
0.3867 (2.5862) & 11.871352 \tabularnewline
0.3893 (2.5685) & 16.695512 \tabularnewline
0.392 (2.551) & 60.17167 \tabularnewline
0.3947 (2.5338) & 2.843876 \tabularnewline
0.3973 (2.5168) & 2.594854 \tabularnewline
0.4 (2.5) & 14.942155 \tabularnewline
0.4027 (2.4834) & 0.770729 \tabularnewline
0.4053 (2.4671) & 15.998186 \tabularnewline
0.408 (2.451) & 7.169578 \tabularnewline
0.4107 (2.4351) & 31.542204 \tabularnewline
0.4133 (2.4194) & 50.264021 \tabularnewline
0.416 (2.4038) & 23.778051 \tabularnewline
0.4187 (2.3885) & 13.054029 \tabularnewline
0.4213 (2.3734) & 9.233324 \tabularnewline
0.424 (2.3585) & 4.981835 \tabularnewline
0.4267 (2.3438) & 9.596772 \tabularnewline
0.4293 (2.3292) & 37.470173 \tabularnewline
0.432 (2.3148) & 33.664125 \tabularnewline
0.4347 (2.3006) & 12.873212 \tabularnewline
0.4373 (2.2866) & 19.270329 \tabularnewline
0.44 (2.2727) & 86.099748 \tabularnewline
0.4427 (2.259) & 75.410034 \tabularnewline
0.4453 (2.2455) & 15.095783 \tabularnewline
0.448 (2.2321) & 60.007985 \tabularnewline
0.4507 (2.2189) & 2.820134 \tabularnewline
0.4533 (2.2059) & 19.699162 \tabularnewline
0.456 (2.193) & 3.27127 \tabularnewline
0.4587 (2.1802) & 15.351942 \tabularnewline
0.4613 (2.1676) & 17.516948 \tabularnewline
0.464 (2.1552) & 42.528671 \tabularnewline
0.4667 (2.1429) & 48.50937 \tabularnewline
0.4693 (2.1307) & 108.710343 \tabularnewline
0.472 (2.1186) & 64.182343 \tabularnewline
0.4747 (2.1067) & 7.998608 \tabularnewline
0.4773 (2.095) & 38.944194 \tabularnewline
0.48 (2.0833) & 12.798514 \tabularnewline
0.4827 (2.0718) & 14.064994 \tabularnewline
0.4853 (2.0604) & 1.294896 \tabularnewline
0.488 (2.0492) & 20.797091 \tabularnewline
0.4907 (2.038) & 67.429358 \tabularnewline
0.4933 (2.027) & 5.035099 \tabularnewline
0.496 (2.0161) & 21.048322 \tabularnewline
0.4987 (2.0053) & 52.107283 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106092&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]0.0027 (375)[/C][C]14934.113688[/C][/ROW]
[ROW][C]0.0053 (187.5)[/C][C]33564.133674[/C][/ROW]
[ROW][C]0.008 (125)[/C][C]120441.9924[/C][/ROW]
[ROW][C]0.0107 (93.75)[/C][C]4140.50374[/C][/ROW]
[ROW][C]0.0133 (75)[/C][C]131.750477[/C][/ROW]
[ROW][C]0.016 (62.5)[/C][C]817.462563[/C][/ROW]
[ROW][C]0.0187 (53.5714)[/C][C]4513.194275[/C][/ROW]
[ROW][C]0.0213 (46.875)[/C][C]4612.522866[/C][/ROW]
[ROW][C]0.024 (41.6667)[/C][C]3273.666579[/C][/ROW]
[ROW][C]0.0267 (37.5)[/C][C]10126.485584[/C][/ROW]
[ROW][C]0.0293 (34.0909)[/C][C]20298.38422[/C][/ROW]
[ROW][C]0.032 (31.25)[/C][C]7600.288599[/C][/ROW]
[ROW][C]0.0347 (28.8462)[/C][C]3072.461652[/C][/ROW]
[ROW][C]0.0373 (26.7857)[/C][C]9873.571188[/C][/ROW]
[ROW][C]0.04 (25)[/C][C]6179.324048[/C][/ROW]
[ROW][C]0.0427 (23.4375)[/C][C]475.538589[/C][/ROW]
[ROW][C]0.0453 (22.0588)[/C][C]630.034063[/C][/ROW]
[ROW][C]0.048 (20.8333)[/C][C]1343.476488[/C][/ROW]
[ROW][C]0.0507 (19.7368)[/C][C]313.235729[/C][/ROW]
[ROW][C]0.0533 (18.75)[/C][C]708.424414[/C][/ROW]
[ROW][C]0.056 (17.8571)[/C][C]934.355463[/C][/ROW]
[ROW][C]0.0587 (17.0455)[/C][C]1834.258324[/C][/ROW]
[ROW][C]0.0613 (16.3043)[/C][C]4079.669518[/C][/ROW]
[ROW][C]0.064 (15.625)[/C][C]177.427714[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]155.26397[/C][/ROW]
[ROW][C]0.0693 (14.4231)[/C][C]206.164575[/C][/ROW]
[ROW][C]0.072 (13.8889)[/C][C]52.177671[/C][/ROW]
[ROW][C]0.0747 (13.3929)[/C][C]489.704142[/C][/ROW]
[ROW][C]0.0773 (12.931)[/C][C]449.385301[/C][/ROW]
[ROW][C]0.08 (12.5)[/C][C]714.746258[/C][/ROW]
[ROW][C]0.0827 (12.0968)[/C][C]1449.800492[/C][/ROW]
[ROW][C]0.0853 (11.7188)[/C][C]268.382148[/C][/ROW]
[ROW][C]0.088 (11.3636)[/C][C]1700.079911[/C][/ROW]
[ROW][C]0.0907 (11.0294)[/C][C]783.067463[/C][/ROW]
[ROW][C]0.0933 (10.7143)[/C][C]1614.893339[/C][/ROW]
[ROW][C]0.096 (10.4167)[/C][C]2635.729578[/C][/ROW]
[ROW][C]0.0987 (10.1351)[/C][C]595.75169[/C][/ROW]
[ROW][C]0.1013 (9.8684)[/C][C]26.461923[/C][/ROW]
[ROW][C]0.104 (9.6154)[/C][C]1176.870588[/C][/ROW]
[ROW][C]0.1067 (9.375)[/C][C]219.538994[/C][/ROW]
[ROW][C]0.1093 (9.1463)[/C][C]531.728038[/C][/ROW]
[ROW][C]0.112 (8.9286)[/C][C]132.00306[/C][/ROW]
[ROW][C]0.1147 (8.7209)[/C][C]42.900085[/C][/ROW]
[ROW][C]0.1173 (8.5227)[/C][C]599.939228[/C][/ROW]
[ROW][C]0.12 (8.3333)[/C][C]623.206499[/C][/ROW]
[ROW][C]0.1227 (8.1522)[/C][C]95.308386[/C][/ROW]
[ROW][C]0.1253 (7.9787)[/C][C]815.983794[/C][/ROW]
[ROW][C]0.128 (7.8125)[/C][C]215.895808[/C][/ROW]
[ROW][C]0.1307 (7.6531)[/C][C]30.283126[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]269.357188[/C][/ROW]
[ROW][C]0.136 (7.3529)[/C][C]56.118953[/C][/ROW]
[ROW][C]0.1387 (7.2115)[/C][C]183.864984[/C][/ROW]
[ROW][C]0.1413 (7.0755)[/C][C]114.529685[/C][/ROW]
[ROW][C]0.144 (6.9444)[/C][C]183.538483[/C][/ROW]
[ROW][C]0.1467 (6.8182)[/C][C]234.592552[/C][/ROW]
[ROW][C]0.1493 (6.6964)[/C][C]447.567662[/C][/ROW]
[ROW][C]0.152 (6.5789)[/C][C]89.313282[/C][/ROW]
[ROW][C]0.1547 (6.4655)[/C][C]269.63547[/C][/ROW]
[ROW][C]0.1573 (6.3559)[/C][C]199.443857[/C][/ROW]
[ROW][C]0.16 (6.25)[/C][C]116.762369[/C][/ROW]
[ROW][C]0.1627 (6.1475)[/C][C]28.26034[/C][/ROW]
[ROW][C]0.1653 (6.0484)[/C][C]18.525354[/C][/ROW]
[ROW][C]0.168 (5.9524)[/C][C]38.439748[/C][/ROW]
[ROW][C]0.1707 (5.8594)[/C][C]46.55589[/C][/ROW]
[ROW][C]0.1733 (5.7692)[/C][C]110.469916[/C][/ROW]
[ROW][C]0.176 (5.6818)[/C][C]17.960712[/C][/ROW]
[ROW][C]0.1787 (5.597)[/C][C]13.63313[/C][/ROW]
[ROW][C]0.1813 (5.5147)[/C][C]79.281475[/C][/ROW]
[ROW][C]0.184 (5.4348)[/C][C]48.02116[/C][/ROW]
[ROW][C]0.1867 (5.3571)[/C][C]16.477021[/C][/ROW]
[ROW][C]0.1893 (5.2817)[/C][C]92.176617[/C][/ROW]
[ROW][C]0.192 (5.2083)[/C][C]129.698441[/C][/ROW]
[ROW][C]0.1947 (5.137)[/C][C]13.7283[/C][/ROW]
[ROW][C]0.1973 (5.0676)[/C][C]72.241396[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]78.853145[/C][/ROW]
[ROW][C]0.2027 (4.9342)[/C][C]30.727816[/C][/ROW]
[ROW][C]0.2053 (4.8701)[/C][C]9.405057[/C][/ROW]
[ROW][C]0.208 (4.8077)[/C][C]70.169365[/C][/ROW]
[ROW][C]0.2107 (4.7468)[/C][C]51.754146[/C][/ROW]
[ROW][C]0.2133 (4.6875)[/C][C]97.202714[/C][/ROW]
[ROW][C]0.216 (4.6296)[/C][C]9.955993[/C][/ROW]
[ROW][C]0.2187 (4.5732)[/C][C]15.7957[/C][/ROW]
[ROW][C]0.2213 (4.5181)[/C][C]77.678367[/C][/ROW]
[ROW][C]0.224 (4.4643)[/C][C]3.92764[/C][/ROW]
[ROW][C]0.2267 (4.4118)[/C][C]54.906989[/C][/ROW]
[ROW][C]0.2293 (4.3605)[/C][C]28.854249[/C][/ROW]
[ROW][C]0.232 (4.3103)[/C][C]8.337347[/C][/ROW]
[ROW][C]0.2347 (4.2614)[/C][C]94.856156[/C][/ROW]
[ROW][C]0.2373 (4.2135)[/C][C]7.691304[/C][/ROW]
[ROW][C]0.24 (4.1667)[/C][C]32.88409[/C][/ROW]
[ROW][C]0.2427 (4.1209)[/C][C]68.64662[/C][/ROW]
[ROW][C]0.2453 (4.0761)[/C][C]16.719773[/C][/ROW]
[ROW][C]0.248 (4.0323)[/C][C]35.895477[/C][/ROW]
[ROW][C]0.2507 (3.9894)[/C][C]72.761464[/C][/ROW]
[ROW][C]0.2533 (3.9474)[/C][C]27.52062[/C][/ROW]
[ROW][C]0.256 (3.9063)[/C][C]52.99405[/C][/ROW]
[ROW][C]0.2587 (3.866)[/C][C]107.302785[/C][/ROW]
[ROW][C]0.2613 (3.8265)[/C][C]68.322328[/C][/ROW]
[ROW][C]0.264 (3.7879)[/C][C]91.706733[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]17.262243[/C][/ROW]
[ROW][C]0.2693 (3.7129)[/C][C]55.302614[/C][/ROW]
[ROW][C]0.272 (3.6765)[/C][C]98.621086[/C][/ROW]
[ROW][C]0.2747 (3.6408)[/C][C]2.033646[/C][/ROW]
[ROW][C]0.2773 (3.6058)[/C][C]35.467274[/C][/ROW]
[ROW][C]0.28 (3.5714)[/C][C]88.41595[/C][/ROW]
[ROW][C]0.2827 (3.5377)[/C][C]6.609214[/C][/ROW]
[ROW][C]0.2853 (3.5047)[/C][C]36.211205[/C][/ROW]
[ROW][C]0.288 (3.4722)[/C][C]62.18282[/C][/ROW]
[ROW][C]0.2907 (3.4404)[/C][C]74.46244[/C][/ROW]
[ROW][C]0.2933 (3.4091)[/C][C]25.950055[/C][/ROW]
[ROW][C]0.296 (3.3784)[/C][C]29.880596[/C][/ROW]
[ROW][C]0.2987 (3.3482)[/C][C]44.827106[/C][/ROW]
[ROW][C]0.3013 (3.3186)[/C][C]4.693751[/C][/ROW]
[ROW][C]0.304 (3.2895)[/C][C]43.386793[/C][/ROW]
[ROW][C]0.3067 (3.2609)[/C][C]41.217499[/C][/ROW]
[ROW][C]0.3093 (3.2328)[/C][C]20.002312[/C][/ROW]
[ROW][C]0.312 (3.2051)[/C][C]22.729542[/C][/ROW]
[ROW][C]0.3147 (3.178)[/C][C]23.437085[/C][/ROW]
[ROW][C]0.3173 (3.1513)[/C][C]55.819277[/C][/ROW]
[ROW][C]0.32 (3.125)[/C][C]43.470995[/C][/ROW]
[ROW][C]0.3227 (3.0992)[/C][C]71.601933[/C][/ROW]
[ROW][C]0.3253 (3.0738)[/C][C]93.477524[/C][/ROW]
[ROW][C]0.328 (3.0488)[/C][C]47.80464[/C][/ROW]
[ROW][C]0.3307 (3.0242)[/C][C]21.659589[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]72.823677[/C][/ROW]
[ROW][C]0.336 (2.9762)[/C][C]55.518785[/C][/ROW]
[ROW][C]0.3387 (2.9528)[/C][C]30.54787[/C][/ROW]
[ROW][C]0.3413 (2.9297)[/C][C]5.09582[/C][/ROW]
[ROW][C]0.344 (2.907)[/C][C]13.2735[/C][/ROW]
[ROW][C]0.3467 (2.8846)[/C][C]4.057475[/C][/ROW]
[ROW][C]0.3493 (2.8626)[/C][C]3.341642[/C][/ROW]
[ROW][C]0.352 (2.8409)[/C][C]19.674586[/C][/ROW]
[ROW][C]0.3547 (2.8195)[/C][C]8.0709[/C][/ROW]
[ROW][C]0.3573 (2.7985)[/C][C]14.553437[/C][/ROW]
[ROW][C]0.36 (2.7778)[/C][C]69.54[/C][/ROW]
[ROW][C]0.3627 (2.7574)[/C][C]17.382389[/C][/ROW]
[ROW][C]0.3653 (2.7372)[/C][C]41.96444[/C][/ROW]
[ROW][C]0.368 (2.7174)[/C][C]2.129007[/C][/ROW]
[ROW][C]0.3707 (2.6978)[/C][C]22.556516[/C][/ROW]
[ROW][C]0.3733 (2.6786)[/C][C]31.978735[/C][/ROW]
[ROW][C]0.376 (2.6596)[/C][C]48.2508[/C][/ROW]
[ROW][C]0.3787 (2.6408)[/C][C]37.224647[/C][/ROW]
[ROW][C]0.3813 (2.6224)[/C][C]19.549045[/C][/ROW]
[ROW][C]0.384 (2.6042)[/C][C]25.477542[/C][/ROW]
[ROW][C]0.3867 (2.5862)[/C][C]11.871352[/C][/ROW]
[ROW][C]0.3893 (2.5685)[/C][C]16.695512[/C][/ROW]
[ROW][C]0.392 (2.551)[/C][C]60.17167[/C][/ROW]
[ROW][C]0.3947 (2.5338)[/C][C]2.843876[/C][/ROW]
[ROW][C]0.3973 (2.5168)[/C][C]2.594854[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]14.942155[/C][/ROW]
[ROW][C]0.4027 (2.4834)[/C][C]0.770729[/C][/ROW]
[ROW][C]0.4053 (2.4671)[/C][C]15.998186[/C][/ROW]
[ROW][C]0.408 (2.451)[/C][C]7.169578[/C][/ROW]
[ROW][C]0.4107 (2.4351)[/C][C]31.542204[/C][/ROW]
[ROW][C]0.4133 (2.4194)[/C][C]50.264021[/C][/ROW]
[ROW][C]0.416 (2.4038)[/C][C]23.778051[/C][/ROW]
[ROW][C]0.4187 (2.3885)[/C][C]13.054029[/C][/ROW]
[ROW][C]0.4213 (2.3734)[/C][C]9.233324[/C][/ROW]
[ROW][C]0.424 (2.3585)[/C][C]4.981835[/C][/ROW]
[ROW][C]0.4267 (2.3438)[/C][C]9.596772[/C][/ROW]
[ROW][C]0.4293 (2.3292)[/C][C]37.470173[/C][/ROW]
[ROW][C]0.432 (2.3148)[/C][C]33.664125[/C][/ROW]
[ROW][C]0.4347 (2.3006)[/C][C]12.873212[/C][/ROW]
[ROW][C]0.4373 (2.2866)[/C][C]19.270329[/C][/ROW]
[ROW][C]0.44 (2.2727)[/C][C]86.099748[/C][/ROW]
[ROW][C]0.4427 (2.259)[/C][C]75.410034[/C][/ROW]
[ROW][C]0.4453 (2.2455)[/C][C]15.095783[/C][/ROW]
[ROW][C]0.448 (2.2321)[/C][C]60.007985[/C][/ROW]
[ROW][C]0.4507 (2.2189)[/C][C]2.820134[/C][/ROW]
[ROW][C]0.4533 (2.2059)[/C][C]19.699162[/C][/ROW]
[ROW][C]0.456 (2.193)[/C][C]3.27127[/C][/ROW]
[ROW][C]0.4587 (2.1802)[/C][C]15.351942[/C][/ROW]
[ROW][C]0.4613 (2.1676)[/C][C]17.516948[/C][/ROW]
[ROW][C]0.464 (2.1552)[/C][C]42.528671[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]48.50937[/C][/ROW]
[ROW][C]0.4693 (2.1307)[/C][C]108.710343[/C][/ROW]
[ROW][C]0.472 (2.1186)[/C][C]64.182343[/C][/ROW]
[ROW][C]0.4747 (2.1067)[/C][C]7.998608[/C][/ROW]
[ROW][C]0.4773 (2.095)[/C][C]38.944194[/C][/ROW]
[ROW][C]0.48 (2.0833)[/C][C]12.798514[/C][/ROW]
[ROW][C]0.4827 (2.0718)[/C][C]14.064994[/C][/ROW]
[ROW][C]0.4853 (2.0604)[/C][C]1.294896[/C][/ROW]
[ROW][C]0.488 (2.0492)[/C][C]20.797091[/C][/ROW]
[ROW][C]0.4907 (2.038)[/C][C]67.429358[/C][/ROW]
[ROW][C]0.4933 (2.027)[/C][C]5.035099[/C][/ROW]
[ROW][C]0.496 (2.0161)[/C][C]21.048322[/C][/ROW]
[ROW][C]0.4987 (2.0053)[/C][C]52.107283[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106092&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106092&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)0
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0027 (375)14934.113688
0.0053 (187.5)33564.133674
0.008 (125)120441.9924
0.0107 (93.75)4140.50374
0.0133 (75)131.750477
0.016 (62.5)817.462563
0.0187 (53.5714)4513.194275
0.0213 (46.875)4612.522866
0.024 (41.6667)3273.666579
0.0267 (37.5)10126.485584
0.0293 (34.0909)20298.38422
0.032 (31.25)7600.288599
0.0347 (28.8462)3072.461652
0.0373 (26.7857)9873.571188
0.04 (25)6179.324048
0.0427 (23.4375)475.538589
0.0453 (22.0588)630.034063
0.048 (20.8333)1343.476488
0.0507 (19.7368)313.235729
0.0533 (18.75)708.424414
0.056 (17.8571)934.355463
0.0587 (17.0455)1834.258324
0.0613 (16.3043)4079.669518
0.064 (15.625)177.427714
0.0667 (15)155.26397
0.0693 (14.4231)206.164575
0.072 (13.8889)52.177671
0.0747 (13.3929)489.704142
0.0773 (12.931)449.385301
0.08 (12.5)714.746258
0.0827 (12.0968)1449.800492
0.0853 (11.7188)268.382148
0.088 (11.3636)1700.079911
0.0907 (11.0294)783.067463
0.0933 (10.7143)1614.893339
0.096 (10.4167)2635.729578
0.0987 (10.1351)595.75169
0.1013 (9.8684)26.461923
0.104 (9.6154)1176.870588
0.1067 (9.375)219.538994
0.1093 (9.1463)531.728038
0.112 (8.9286)132.00306
0.1147 (8.7209)42.900085
0.1173 (8.5227)599.939228
0.12 (8.3333)623.206499
0.1227 (8.1522)95.308386
0.1253 (7.9787)815.983794
0.128 (7.8125)215.895808
0.1307 (7.6531)30.283126
0.1333 (7.5)269.357188
0.136 (7.3529)56.118953
0.1387 (7.2115)183.864984
0.1413 (7.0755)114.529685
0.144 (6.9444)183.538483
0.1467 (6.8182)234.592552
0.1493 (6.6964)447.567662
0.152 (6.5789)89.313282
0.1547 (6.4655)269.63547
0.1573 (6.3559)199.443857
0.16 (6.25)116.762369
0.1627 (6.1475)28.26034
0.1653 (6.0484)18.525354
0.168 (5.9524)38.439748
0.1707 (5.8594)46.55589
0.1733 (5.7692)110.469916
0.176 (5.6818)17.960712
0.1787 (5.597)13.63313
0.1813 (5.5147)79.281475
0.184 (5.4348)48.02116
0.1867 (5.3571)16.477021
0.1893 (5.2817)92.176617
0.192 (5.2083)129.698441
0.1947 (5.137)13.7283
0.1973 (5.0676)72.241396
0.2 (5)78.853145
0.2027 (4.9342)30.727816
0.2053 (4.8701)9.405057
0.208 (4.8077)70.169365
0.2107 (4.7468)51.754146
0.2133 (4.6875)97.202714
0.216 (4.6296)9.955993
0.2187 (4.5732)15.7957
0.2213 (4.5181)77.678367
0.224 (4.4643)3.92764
0.2267 (4.4118)54.906989
0.2293 (4.3605)28.854249
0.232 (4.3103)8.337347
0.2347 (4.2614)94.856156
0.2373 (4.2135)7.691304
0.24 (4.1667)32.88409
0.2427 (4.1209)68.64662
0.2453 (4.0761)16.719773
0.248 (4.0323)35.895477
0.2507 (3.9894)72.761464
0.2533 (3.9474)27.52062
0.256 (3.9063)52.99405
0.2587 (3.866)107.302785
0.2613 (3.8265)68.322328
0.264 (3.7879)91.706733
0.2667 (3.75)17.262243
0.2693 (3.7129)55.302614
0.272 (3.6765)98.621086
0.2747 (3.6408)2.033646
0.2773 (3.6058)35.467274
0.28 (3.5714)88.41595
0.2827 (3.5377)6.609214
0.2853 (3.5047)36.211205
0.288 (3.4722)62.18282
0.2907 (3.4404)74.46244
0.2933 (3.4091)25.950055
0.296 (3.3784)29.880596
0.2987 (3.3482)44.827106
0.3013 (3.3186)4.693751
0.304 (3.2895)43.386793
0.3067 (3.2609)41.217499
0.3093 (3.2328)20.002312
0.312 (3.2051)22.729542
0.3147 (3.178)23.437085
0.3173 (3.1513)55.819277
0.32 (3.125)43.470995
0.3227 (3.0992)71.601933
0.3253 (3.0738)93.477524
0.328 (3.0488)47.80464
0.3307 (3.0242)21.659589
0.3333 (3)72.823677
0.336 (2.9762)55.518785
0.3387 (2.9528)30.54787
0.3413 (2.9297)5.09582
0.344 (2.907)13.2735
0.3467 (2.8846)4.057475
0.3493 (2.8626)3.341642
0.352 (2.8409)19.674586
0.3547 (2.8195)8.0709
0.3573 (2.7985)14.553437
0.36 (2.7778)69.54
0.3627 (2.7574)17.382389
0.3653 (2.7372)41.96444
0.368 (2.7174)2.129007
0.3707 (2.6978)22.556516
0.3733 (2.6786)31.978735
0.376 (2.6596)48.2508
0.3787 (2.6408)37.224647
0.3813 (2.6224)19.549045
0.384 (2.6042)25.477542
0.3867 (2.5862)11.871352
0.3893 (2.5685)16.695512
0.392 (2.551)60.17167
0.3947 (2.5338)2.843876
0.3973 (2.5168)2.594854
0.4 (2.5)14.942155
0.4027 (2.4834)0.770729
0.4053 (2.4671)15.998186
0.408 (2.451)7.169578
0.4107 (2.4351)31.542204
0.4133 (2.4194)50.264021
0.416 (2.4038)23.778051
0.4187 (2.3885)13.054029
0.4213 (2.3734)9.233324
0.424 (2.3585)4.981835
0.4267 (2.3438)9.596772
0.4293 (2.3292)37.470173
0.432 (2.3148)33.664125
0.4347 (2.3006)12.873212
0.4373 (2.2866)19.270329
0.44 (2.2727)86.099748
0.4427 (2.259)75.410034
0.4453 (2.2455)15.095783
0.448 (2.2321)60.007985
0.4507 (2.2189)2.820134
0.4533 (2.2059)19.699162
0.456 (2.193)3.27127
0.4587 (2.1802)15.351942
0.4613 (2.1676)17.516948
0.464 (2.1552)42.528671
0.4667 (2.1429)48.50937
0.4693 (2.1307)108.710343
0.472 (2.1186)64.182343
0.4747 (2.1067)7.998608
0.4773 (2.095)38.944194
0.48 (2.0833)12.798514
0.4827 (2.0718)14.064994
0.4853 (2.0604)1.294896
0.488 (2.0492)20.797091
0.4907 (2.038)67.429358
0.4933 (2.027)5.035099
0.496 (2.0161)21.048322
0.4987 (2.0053)52.107283



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')