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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 10:00:10 +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/t1291715884c86ti401ucgut5n.htm/, Retrieved Fri, 03 May 2024 17:28:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106108, Retrieved Fri, 03 May 2024 17:28:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
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] [8ffb4cfa64b4677df0d2c448735a40bb]
-   P         [Spectral Analysis] [Workshop 9; Coffe...] [2010-12-07 10:00:10] [50e0b5177c9c80b42996aa89930b928a] [Current]
-   P           [Spectral Analysis] [Workshop 9; Coffe...] [2010-12-07 10:10:34] [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'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106108&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106108&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106108&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'George Udny Yule' @ 72.249.76.132







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0027 (375)44.756848
0.0053 (187.5)41.378072
0.008 (125)262.91018
0.0107 (93.75)32.156278
0.0133 (75)1.037854
0.016 (62.5)19.347785
0.0187 (53.5714)42.240211
0.0213 (46.875)90.246558
0.024 (41.6667)58.858552
0.0267 (37.5)312.008107
0.0293 (34.0909)653.415282
0.032 (31.25)328.153652
0.0347 (28.8462)143.927434
0.0373 (26.7857)574.122305
0.04 (25)365.879004
0.0427 (23.4375)26.35568
0.0453 (22.0588)45.410052
0.048 (20.8333)121.472796
0.0507 (19.7368)32.071431
0.0533 (18.75)82.136238
0.056 (17.8571)117.016741
0.0587 (17.0455)250.829287
0.0613 (16.3043)581.893209
0.064 (15.625)29.973124
0.0667 (15)29.1306
0.0693 (14.4231)37.398077
0.072 (13.8889)11.022342
0.0747 (13.3929)106.285427
0.0773 (12.931)108.599354
0.08 (12.5)174.550864
0.0827 (12.0968)380.278501
0.0853 (11.7188)74.231025
0.088 (11.3636)507.215698
0.0907 (11.0294)247.458907
0.0933 (10.7143)541.635683
0.096 (10.4167)943.10699
0.0987 (10.1351)225.785666
0.1013 (9.8684)8.775324
0.104 (9.6154)473.770287
0.1067 (9.375)89.834962
0.1093 (9.1463)245.261366
0.112 (8.9286)65.358391
0.1147 (8.7209)20.237047
0.1173 (8.5227)317.857399
0.12 (8.3333)331.148644
0.1227 (8.1522)54.812927
0.1253 (7.9787)482.384159
0.128 (7.8125)135.083889
0.1307 (7.6531)19.210724
0.1333 (7.5)175.419998
0.136 (7.3529)39.4455
0.1387 (7.2115)132.307788
0.1413 (7.0755)84.674814
0.144 (6.9444)140.015575
0.1467 (6.8182)189.021531
0.1493 (6.6964)362.946731
0.152 (6.5789)76.682126
0.1547 (6.4655)234.318563
0.1573 (6.3559)180.569927
0.16 (6.25)108.811158
0.1627 (6.1475)26.671502
0.1653 (6.0484)18.110305
0.168 (5.9524)38.998489
0.1707 (5.8594)49.210767
0.1733 (5.7692)118.740376
0.176 (5.6818)19.007818
0.1787 (5.597)14.621863
0.1813 (5.5147)94.35355
0.184 (5.4348)55.406464
0.1867 (5.3571)19.590672
0.1893 (5.2817)117.089435
0.192 (5.2083)166.647481
0.1947 (5.137)18.334373
0.1973 (5.0676)98.831955
0.2 (5)109.0906
0.2027 (4.9342)41.924937
0.2053 (4.8701)13.511847
0.208 (4.8077)101.767208
0.2107 (4.7468)79.662902
0.2133 (4.6875)148.833659
0.216 (4.6296)16.087533
0.2187 (4.5732)26.03565
0.2213 (4.5181)125.81511
0.224 (4.4643)6.104406
0.2267 (4.4118)95.788193
0.2293 (4.3605)50.162379
0.232 (4.3103)14.457303
0.2347 (4.2614)171.625599
0.2373 (4.2135)14.274806
0.24 (4.1667)61.783601
0.2427 (4.1209)130.474626
0.2453 (4.0761)33.160914
0.248 (4.0323)72.206527
0.2507 (3.9894)145.290902
0.2533 (3.9474)55.992207
0.256 (3.9063)110.97139
0.2587 (3.866)225.481251
0.2613 (3.8265)148.542265
0.264 (3.7879)198.502298
0.2667 (3.75)37.967539
0.2693 (3.7129)125.085381
0.272 (3.6765)224.404435
0.2747 (3.6408)4.660606
0.2773 (3.6058)85.698828
0.28 (3.5714)205.995799
0.2827 (3.5377)15.555956
0.2853 (3.5047)86.043521
0.288 (3.4722)156.473441
0.2907 (3.4404)185.035414
0.2933 (3.4091)67.255508
0.296 (3.3784)75.580025
0.2987 (3.3482)117.638129
0.3013 (3.3186)12.814422
0.304 (3.2895)114.037302
0.3067 (3.2609)110.194064
0.3093 (3.2328)54.958218
0.312 (3.2051)63.937669
0.3147 (3.178)66.394104
0.3173 (3.1513)156.54029
0.32 (3.125)123.479167
0.3227 (3.0992)207.080941
0.3253 (3.0738)273.079418
0.328 (3.0488)140.471205
0.3307 (3.0242)65.132529
0.3333 (3)217.630757
0.336 (2.9762)168.768959
0.3387 (2.9528)93.371675
0.3413 (2.9297)15.516315
0.344 (2.907)41.403218
0.3467 (2.8846)12.937464
0.3493 (2.8626)10.259428
0.352 (2.8409)63.62926
0.3547 (2.8195)25.555449
0.3573 (2.7985)47.110978
0.36 (2.7778)227.295396
0.3627 (2.7574)57.778091
0.3653 (2.7372)139.658575
0.368 (2.7174)7.232037
0.3707 (2.6978)76.84108
0.3733 (2.6786)109.428622
0.376 (2.6596)165.086864
0.3787 (2.6408)128.445846
0.3813 (2.6224)67.632926
0.384 (2.6042)89.589667
0.3867 (2.5862)41.65152
0.3893 (2.5685)59.396031
0.392 (2.551)214.334633
0.3947 (2.5338)10.287744
0.3973 (2.5168)9.359942
0.4 (2.5)54.063651
0.4027 (2.4834)2.912784
0.4053 (2.4671)58.494762
0.408 (2.451)26.581021
0.4107 (2.4351)116.613975
0.4133 (2.4194)187.501108
0.416 (2.4038)88.512627
0.4187 (2.3885)48.872166
0.4213 (2.3734)34.374816
0.424 (2.3585)19.387644
0.4267 (2.3438)37.146936
0.4293 (2.3292)142.133894
0.432 (2.3148)128.523864
0.4347 (2.3006)49.840368
0.4373 (2.2866)73.44745
0.44 (2.2727)335.958175
0.4427 (2.259)289.572657
0.4453 (2.2455)60.532083
0.448 (2.2321)231.100951
0.4507 (2.2189)10.534292
0.4533 (2.2059)77.725244
0.456 (2.193)12.797397
0.4587 (2.1802)60.183444
0.4613 (2.1676)70.032626
0.464 (2.1552)166.882862
0.4667 (2.1429)191.674124
0.4693 (2.1307)431.06572
0.472 (2.1186)255.561925
0.4747 (2.1067)32.242903
0.4773 (2.095)154.515714
0.48 (2.0833)51.756045
0.4827 (2.0718)56.218798
0.4853 (2.0604)5.378753
0.488 (2.0492)83.122118
0.4907 (2.038)269.55473
0.4933 (2.027)20.367655
0.496 (2.0161)84.041347
0.4987 (2.0053)209.292773

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 1 \tabularnewline
Degree of non-seasonal differencing (d) & 1 \tabularnewline
Degree of seasonal differencing (D) & 0 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0027 (375) & 44.756848 \tabularnewline
0.0053 (187.5) & 41.378072 \tabularnewline
0.008 (125) & 262.91018 \tabularnewline
0.0107 (93.75) & 32.156278 \tabularnewline
0.0133 (75) & 1.037854 \tabularnewline
0.016 (62.5) & 19.347785 \tabularnewline
0.0187 (53.5714) & 42.240211 \tabularnewline
0.0213 (46.875) & 90.246558 \tabularnewline
0.024 (41.6667) & 58.858552 \tabularnewline
0.0267 (37.5) & 312.008107 \tabularnewline
0.0293 (34.0909) & 653.415282 \tabularnewline
0.032 (31.25) & 328.153652 \tabularnewline
0.0347 (28.8462) & 143.927434 \tabularnewline
0.0373 (26.7857) & 574.122305 \tabularnewline
0.04 (25) & 365.879004 \tabularnewline
0.0427 (23.4375) & 26.35568 \tabularnewline
0.0453 (22.0588) & 45.410052 \tabularnewline
0.048 (20.8333) & 121.472796 \tabularnewline
0.0507 (19.7368) & 32.071431 \tabularnewline
0.0533 (18.75) & 82.136238 \tabularnewline
0.056 (17.8571) & 117.016741 \tabularnewline
0.0587 (17.0455) & 250.829287 \tabularnewline
0.0613 (16.3043) & 581.893209 \tabularnewline
0.064 (15.625) & 29.973124 \tabularnewline
0.0667 (15) & 29.1306 \tabularnewline
0.0693 (14.4231) & 37.398077 \tabularnewline
0.072 (13.8889) & 11.022342 \tabularnewline
0.0747 (13.3929) & 106.285427 \tabularnewline
0.0773 (12.931) & 108.599354 \tabularnewline
0.08 (12.5) & 174.550864 \tabularnewline
0.0827 (12.0968) & 380.278501 \tabularnewline
0.0853 (11.7188) & 74.231025 \tabularnewline
0.088 (11.3636) & 507.215698 \tabularnewline
0.0907 (11.0294) & 247.458907 \tabularnewline
0.0933 (10.7143) & 541.635683 \tabularnewline
0.096 (10.4167) & 943.10699 \tabularnewline
0.0987 (10.1351) & 225.785666 \tabularnewline
0.1013 (9.8684) & 8.775324 \tabularnewline
0.104 (9.6154) & 473.770287 \tabularnewline
0.1067 (9.375) & 89.834962 \tabularnewline
0.1093 (9.1463) & 245.261366 \tabularnewline
0.112 (8.9286) & 65.358391 \tabularnewline
0.1147 (8.7209) & 20.237047 \tabularnewline
0.1173 (8.5227) & 317.857399 \tabularnewline
0.12 (8.3333) & 331.148644 \tabularnewline
0.1227 (8.1522) & 54.812927 \tabularnewline
0.1253 (7.9787) & 482.384159 \tabularnewline
0.128 (7.8125) & 135.083889 \tabularnewline
0.1307 (7.6531) & 19.210724 \tabularnewline
0.1333 (7.5) & 175.419998 \tabularnewline
0.136 (7.3529) & 39.4455 \tabularnewline
0.1387 (7.2115) & 132.307788 \tabularnewline
0.1413 (7.0755) & 84.674814 \tabularnewline
0.144 (6.9444) & 140.015575 \tabularnewline
0.1467 (6.8182) & 189.021531 \tabularnewline
0.1493 (6.6964) & 362.946731 \tabularnewline
0.152 (6.5789) & 76.682126 \tabularnewline
0.1547 (6.4655) & 234.318563 \tabularnewline
0.1573 (6.3559) & 180.569927 \tabularnewline
0.16 (6.25) & 108.811158 \tabularnewline
0.1627 (6.1475) & 26.671502 \tabularnewline
0.1653 (6.0484) & 18.110305 \tabularnewline
0.168 (5.9524) & 38.998489 \tabularnewline
0.1707 (5.8594) & 49.210767 \tabularnewline
0.1733 (5.7692) & 118.740376 \tabularnewline
0.176 (5.6818) & 19.007818 \tabularnewline
0.1787 (5.597) & 14.621863 \tabularnewline
0.1813 (5.5147) & 94.35355 \tabularnewline
0.184 (5.4348) & 55.406464 \tabularnewline
0.1867 (5.3571) & 19.590672 \tabularnewline
0.1893 (5.2817) & 117.089435 \tabularnewline
0.192 (5.2083) & 166.647481 \tabularnewline
0.1947 (5.137) & 18.334373 \tabularnewline
0.1973 (5.0676) & 98.831955 \tabularnewline
0.2 (5) & 109.0906 \tabularnewline
0.2027 (4.9342) & 41.924937 \tabularnewline
0.2053 (4.8701) & 13.511847 \tabularnewline
0.208 (4.8077) & 101.767208 \tabularnewline
0.2107 (4.7468) & 79.662902 \tabularnewline
0.2133 (4.6875) & 148.833659 \tabularnewline
0.216 (4.6296) & 16.087533 \tabularnewline
0.2187 (4.5732) & 26.03565 \tabularnewline
0.2213 (4.5181) & 125.81511 \tabularnewline
0.224 (4.4643) & 6.104406 \tabularnewline
0.2267 (4.4118) & 95.788193 \tabularnewline
0.2293 (4.3605) & 50.162379 \tabularnewline
0.232 (4.3103) & 14.457303 \tabularnewline
0.2347 (4.2614) & 171.625599 \tabularnewline
0.2373 (4.2135) & 14.274806 \tabularnewline
0.24 (4.1667) & 61.783601 \tabularnewline
0.2427 (4.1209) & 130.474626 \tabularnewline
0.2453 (4.0761) & 33.160914 \tabularnewline
0.248 (4.0323) & 72.206527 \tabularnewline
0.2507 (3.9894) & 145.290902 \tabularnewline
0.2533 (3.9474) & 55.992207 \tabularnewline
0.256 (3.9063) & 110.97139 \tabularnewline
0.2587 (3.866) & 225.481251 \tabularnewline
0.2613 (3.8265) & 148.542265 \tabularnewline
0.264 (3.7879) & 198.502298 \tabularnewline
0.2667 (3.75) & 37.967539 \tabularnewline
0.2693 (3.7129) & 125.085381 \tabularnewline
0.272 (3.6765) & 224.404435 \tabularnewline
0.2747 (3.6408) & 4.660606 \tabularnewline
0.2773 (3.6058) & 85.698828 \tabularnewline
0.28 (3.5714) & 205.995799 \tabularnewline
0.2827 (3.5377) & 15.555956 \tabularnewline
0.2853 (3.5047) & 86.043521 \tabularnewline
0.288 (3.4722) & 156.473441 \tabularnewline
0.2907 (3.4404) & 185.035414 \tabularnewline
0.2933 (3.4091) & 67.255508 \tabularnewline
0.296 (3.3784) & 75.580025 \tabularnewline
0.2987 (3.3482) & 117.638129 \tabularnewline
0.3013 (3.3186) & 12.814422 \tabularnewline
0.304 (3.2895) & 114.037302 \tabularnewline
0.3067 (3.2609) & 110.194064 \tabularnewline
0.3093 (3.2328) & 54.958218 \tabularnewline
0.312 (3.2051) & 63.937669 \tabularnewline
0.3147 (3.178) & 66.394104 \tabularnewline
0.3173 (3.1513) & 156.54029 \tabularnewline
0.32 (3.125) & 123.479167 \tabularnewline
0.3227 (3.0992) & 207.080941 \tabularnewline
0.3253 (3.0738) & 273.079418 \tabularnewline
0.328 (3.0488) & 140.471205 \tabularnewline
0.3307 (3.0242) & 65.132529 \tabularnewline
0.3333 (3) & 217.630757 \tabularnewline
0.336 (2.9762) & 168.768959 \tabularnewline
0.3387 (2.9528) & 93.371675 \tabularnewline
0.3413 (2.9297) & 15.516315 \tabularnewline
0.344 (2.907) & 41.403218 \tabularnewline
0.3467 (2.8846) & 12.937464 \tabularnewline
0.3493 (2.8626) & 10.259428 \tabularnewline
0.352 (2.8409) & 63.62926 \tabularnewline
0.3547 (2.8195) & 25.555449 \tabularnewline
0.3573 (2.7985) & 47.110978 \tabularnewline
0.36 (2.7778) & 227.295396 \tabularnewline
0.3627 (2.7574) & 57.778091 \tabularnewline
0.3653 (2.7372) & 139.658575 \tabularnewline
0.368 (2.7174) & 7.232037 \tabularnewline
0.3707 (2.6978) & 76.84108 \tabularnewline
0.3733 (2.6786) & 109.428622 \tabularnewline
0.376 (2.6596) & 165.086864 \tabularnewline
0.3787 (2.6408) & 128.445846 \tabularnewline
0.3813 (2.6224) & 67.632926 \tabularnewline
0.384 (2.6042) & 89.589667 \tabularnewline
0.3867 (2.5862) & 41.65152 \tabularnewline
0.3893 (2.5685) & 59.396031 \tabularnewline
0.392 (2.551) & 214.334633 \tabularnewline
0.3947 (2.5338) & 10.287744 \tabularnewline
0.3973 (2.5168) & 9.359942 \tabularnewline
0.4 (2.5) & 54.063651 \tabularnewline
0.4027 (2.4834) & 2.912784 \tabularnewline
0.4053 (2.4671) & 58.494762 \tabularnewline
0.408 (2.451) & 26.581021 \tabularnewline
0.4107 (2.4351) & 116.613975 \tabularnewline
0.4133 (2.4194) & 187.501108 \tabularnewline
0.416 (2.4038) & 88.512627 \tabularnewline
0.4187 (2.3885) & 48.872166 \tabularnewline
0.4213 (2.3734) & 34.374816 \tabularnewline
0.424 (2.3585) & 19.387644 \tabularnewline
0.4267 (2.3438) & 37.146936 \tabularnewline
0.4293 (2.3292) & 142.133894 \tabularnewline
0.432 (2.3148) & 128.523864 \tabularnewline
0.4347 (2.3006) & 49.840368 \tabularnewline
0.4373 (2.2866) & 73.44745 \tabularnewline
0.44 (2.2727) & 335.958175 \tabularnewline
0.4427 (2.259) & 289.572657 \tabularnewline
0.4453 (2.2455) & 60.532083 \tabularnewline
0.448 (2.2321) & 231.100951 \tabularnewline
0.4507 (2.2189) & 10.534292 \tabularnewline
0.4533 (2.2059) & 77.725244 \tabularnewline
0.456 (2.193) & 12.797397 \tabularnewline
0.4587 (2.1802) & 60.183444 \tabularnewline
0.4613 (2.1676) & 70.032626 \tabularnewline
0.464 (2.1552) & 166.882862 \tabularnewline
0.4667 (2.1429) & 191.674124 \tabularnewline
0.4693 (2.1307) & 431.06572 \tabularnewline
0.472 (2.1186) & 255.561925 \tabularnewline
0.4747 (2.1067) & 32.242903 \tabularnewline
0.4773 (2.095) & 154.515714 \tabularnewline
0.48 (2.0833) & 51.756045 \tabularnewline
0.4827 (2.0718) & 56.218798 \tabularnewline
0.4853 (2.0604) & 5.378753 \tabularnewline
0.488 (2.0492) & 83.122118 \tabularnewline
0.4907 (2.038) & 269.55473 \tabularnewline
0.4933 (2.027) & 20.367655 \tabularnewline
0.496 (2.0161) & 84.041347 \tabularnewline
0.4987 (2.0053) & 209.292773 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106108&T=1

[TABLE]
[ROW][C]Raw Periodogram[/C][/ROW]
[ROW][C]Parameter[/C][C]Value[/C][/ROW]
[ROW][C]Box-Cox transformation parameter (lambda)[/C][C]1[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d)[/C][C]1[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D)[/C][C]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]44.756848[/C][/ROW]
[ROW][C]0.0053 (187.5)[/C][C]41.378072[/C][/ROW]
[ROW][C]0.008 (125)[/C][C]262.91018[/C][/ROW]
[ROW][C]0.0107 (93.75)[/C][C]32.156278[/C][/ROW]
[ROW][C]0.0133 (75)[/C][C]1.037854[/C][/ROW]
[ROW][C]0.016 (62.5)[/C][C]19.347785[/C][/ROW]
[ROW][C]0.0187 (53.5714)[/C][C]42.240211[/C][/ROW]
[ROW][C]0.0213 (46.875)[/C][C]90.246558[/C][/ROW]
[ROW][C]0.024 (41.6667)[/C][C]58.858552[/C][/ROW]
[ROW][C]0.0267 (37.5)[/C][C]312.008107[/C][/ROW]
[ROW][C]0.0293 (34.0909)[/C][C]653.415282[/C][/ROW]
[ROW][C]0.032 (31.25)[/C][C]328.153652[/C][/ROW]
[ROW][C]0.0347 (28.8462)[/C][C]143.927434[/C][/ROW]
[ROW][C]0.0373 (26.7857)[/C][C]574.122305[/C][/ROW]
[ROW][C]0.04 (25)[/C][C]365.879004[/C][/ROW]
[ROW][C]0.0427 (23.4375)[/C][C]26.35568[/C][/ROW]
[ROW][C]0.0453 (22.0588)[/C][C]45.410052[/C][/ROW]
[ROW][C]0.048 (20.8333)[/C][C]121.472796[/C][/ROW]
[ROW][C]0.0507 (19.7368)[/C][C]32.071431[/C][/ROW]
[ROW][C]0.0533 (18.75)[/C][C]82.136238[/C][/ROW]
[ROW][C]0.056 (17.8571)[/C][C]117.016741[/C][/ROW]
[ROW][C]0.0587 (17.0455)[/C][C]250.829287[/C][/ROW]
[ROW][C]0.0613 (16.3043)[/C][C]581.893209[/C][/ROW]
[ROW][C]0.064 (15.625)[/C][C]29.973124[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]29.1306[/C][/ROW]
[ROW][C]0.0693 (14.4231)[/C][C]37.398077[/C][/ROW]
[ROW][C]0.072 (13.8889)[/C][C]11.022342[/C][/ROW]
[ROW][C]0.0747 (13.3929)[/C][C]106.285427[/C][/ROW]
[ROW][C]0.0773 (12.931)[/C][C]108.599354[/C][/ROW]
[ROW][C]0.08 (12.5)[/C][C]174.550864[/C][/ROW]
[ROW][C]0.0827 (12.0968)[/C][C]380.278501[/C][/ROW]
[ROW][C]0.0853 (11.7188)[/C][C]74.231025[/C][/ROW]
[ROW][C]0.088 (11.3636)[/C][C]507.215698[/C][/ROW]
[ROW][C]0.0907 (11.0294)[/C][C]247.458907[/C][/ROW]
[ROW][C]0.0933 (10.7143)[/C][C]541.635683[/C][/ROW]
[ROW][C]0.096 (10.4167)[/C][C]943.10699[/C][/ROW]
[ROW][C]0.0987 (10.1351)[/C][C]225.785666[/C][/ROW]
[ROW][C]0.1013 (9.8684)[/C][C]8.775324[/C][/ROW]
[ROW][C]0.104 (9.6154)[/C][C]473.770287[/C][/ROW]
[ROW][C]0.1067 (9.375)[/C][C]89.834962[/C][/ROW]
[ROW][C]0.1093 (9.1463)[/C][C]245.261366[/C][/ROW]
[ROW][C]0.112 (8.9286)[/C][C]65.358391[/C][/ROW]
[ROW][C]0.1147 (8.7209)[/C][C]20.237047[/C][/ROW]
[ROW][C]0.1173 (8.5227)[/C][C]317.857399[/C][/ROW]
[ROW][C]0.12 (8.3333)[/C][C]331.148644[/C][/ROW]
[ROW][C]0.1227 (8.1522)[/C][C]54.812927[/C][/ROW]
[ROW][C]0.1253 (7.9787)[/C][C]482.384159[/C][/ROW]
[ROW][C]0.128 (7.8125)[/C][C]135.083889[/C][/ROW]
[ROW][C]0.1307 (7.6531)[/C][C]19.210724[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]175.419998[/C][/ROW]
[ROW][C]0.136 (7.3529)[/C][C]39.4455[/C][/ROW]
[ROW][C]0.1387 (7.2115)[/C][C]132.307788[/C][/ROW]
[ROW][C]0.1413 (7.0755)[/C][C]84.674814[/C][/ROW]
[ROW][C]0.144 (6.9444)[/C][C]140.015575[/C][/ROW]
[ROW][C]0.1467 (6.8182)[/C][C]189.021531[/C][/ROW]
[ROW][C]0.1493 (6.6964)[/C][C]362.946731[/C][/ROW]
[ROW][C]0.152 (6.5789)[/C][C]76.682126[/C][/ROW]
[ROW][C]0.1547 (6.4655)[/C][C]234.318563[/C][/ROW]
[ROW][C]0.1573 (6.3559)[/C][C]180.569927[/C][/ROW]
[ROW][C]0.16 (6.25)[/C][C]108.811158[/C][/ROW]
[ROW][C]0.1627 (6.1475)[/C][C]26.671502[/C][/ROW]
[ROW][C]0.1653 (6.0484)[/C][C]18.110305[/C][/ROW]
[ROW][C]0.168 (5.9524)[/C][C]38.998489[/C][/ROW]
[ROW][C]0.1707 (5.8594)[/C][C]49.210767[/C][/ROW]
[ROW][C]0.1733 (5.7692)[/C][C]118.740376[/C][/ROW]
[ROW][C]0.176 (5.6818)[/C][C]19.007818[/C][/ROW]
[ROW][C]0.1787 (5.597)[/C][C]14.621863[/C][/ROW]
[ROW][C]0.1813 (5.5147)[/C][C]94.35355[/C][/ROW]
[ROW][C]0.184 (5.4348)[/C][C]55.406464[/C][/ROW]
[ROW][C]0.1867 (5.3571)[/C][C]19.590672[/C][/ROW]
[ROW][C]0.1893 (5.2817)[/C][C]117.089435[/C][/ROW]
[ROW][C]0.192 (5.2083)[/C][C]166.647481[/C][/ROW]
[ROW][C]0.1947 (5.137)[/C][C]18.334373[/C][/ROW]
[ROW][C]0.1973 (5.0676)[/C][C]98.831955[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]109.0906[/C][/ROW]
[ROW][C]0.2027 (4.9342)[/C][C]41.924937[/C][/ROW]
[ROW][C]0.2053 (4.8701)[/C][C]13.511847[/C][/ROW]
[ROW][C]0.208 (4.8077)[/C][C]101.767208[/C][/ROW]
[ROW][C]0.2107 (4.7468)[/C][C]79.662902[/C][/ROW]
[ROW][C]0.2133 (4.6875)[/C][C]148.833659[/C][/ROW]
[ROW][C]0.216 (4.6296)[/C][C]16.087533[/C][/ROW]
[ROW][C]0.2187 (4.5732)[/C][C]26.03565[/C][/ROW]
[ROW][C]0.2213 (4.5181)[/C][C]125.81511[/C][/ROW]
[ROW][C]0.224 (4.4643)[/C][C]6.104406[/C][/ROW]
[ROW][C]0.2267 (4.4118)[/C][C]95.788193[/C][/ROW]
[ROW][C]0.2293 (4.3605)[/C][C]50.162379[/C][/ROW]
[ROW][C]0.232 (4.3103)[/C][C]14.457303[/C][/ROW]
[ROW][C]0.2347 (4.2614)[/C][C]171.625599[/C][/ROW]
[ROW][C]0.2373 (4.2135)[/C][C]14.274806[/C][/ROW]
[ROW][C]0.24 (4.1667)[/C][C]61.783601[/C][/ROW]
[ROW][C]0.2427 (4.1209)[/C][C]130.474626[/C][/ROW]
[ROW][C]0.2453 (4.0761)[/C][C]33.160914[/C][/ROW]
[ROW][C]0.248 (4.0323)[/C][C]72.206527[/C][/ROW]
[ROW][C]0.2507 (3.9894)[/C][C]145.290902[/C][/ROW]
[ROW][C]0.2533 (3.9474)[/C][C]55.992207[/C][/ROW]
[ROW][C]0.256 (3.9063)[/C][C]110.97139[/C][/ROW]
[ROW][C]0.2587 (3.866)[/C][C]225.481251[/C][/ROW]
[ROW][C]0.2613 (3.8265)[/C][C]148.542265[/C][/ROW]
[ROW][C]0.264 (3.7879)[/C][C]198.502298[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]37.967539[/C][/ROW]
[ROW][C]0.2693 (3.7129)[/C][C]125.085381[/C][/ROW]
[ROW][C]0.272 (3.6765)[/C][C]224.404435[/C][/ROW]
[ROW][C]0.2747 (3.6408)[/C][C]4.660606[/C][/ROW]
[ROW][C]0.2773 (3.6058)[/C][C]85.698828[/C][/ROW]
[ROW][C]0.28 (3.5714)[/C][C]205.995799[/C][/ROW]
[ROW][C]0.2827 (3.5377)[/C][C]15.555956[/C][/ROW]
[ROW][C]0.2853 (3.5047)[/C][C]86.043521[/C][/ROW]
[ROW][C]0.288 (3.4722)[/C][C]156.473441[/C][/ROW]
[ROW][C]0.2907 (3.4404)[/C][C]185.035414[/C][/ROW]
[ROW][C]0.2933 (3.4091)[/C][C]67.255508[/C][/ROW]
[ROW][C]0.296 (3.3784)[/C][C]75.580025[/C][/ROW]
[ROW][C]0.2987 (3.3482)[/C][C]117.638129[/C][/ROW]
[ROW][C]0.3013 (3.3186)[/C][C]12.814422[/C][/ROW]
[ROW][C]0.304 (3.2895)[/C][C]114.037302[/C][/ROW]
[ROW][C]0.3067 (3.2609)[/C][C]110.194064[/C][/ROW]
[ROW][C]0.3093 (3.2328)[/C][C]54.958218[/C][/ROW]
[ROW][C]0.312 (3.2051)[/C][C]63.937669[/C][/ROW]
[ROW][C]0.3147 (3.178)[/C][C]66.394104[/C][/ROW]
[ROW][C]0.3173 (3.1513)[/C][C]156.54029[/C][/ROW]
[ROW][C]0.32 (3.125)[/C][C]123.479167[/C][/ROW]
[ROW][C]0.3227 (3.0992)[/C][C]207.080941[/C][/ROW]
[ROW][C]0.3253 (3.0738)[/C][C]273.079418[/C][/ROW]
[ROW][C]0.328 (3.0488)[/C][C]140.471205[/C][/ROW]
[ROW][C]0.3307 (3.0242)[/C][C]65.132529[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]217.630757[/C][/ROW]
[ROW][C]0.336 (2.9762)[/C][C]168.768959[/C][/ROW]
[ROW][C]0.3387 (2.9528)[/C][C]93.371675[/C][/ROW]
[ROW][C]0.3413 (2.9297)[/C][C]15.516315[/C][/ROW]
[ROW][C]0.344 (2.907)[/C][C]41.403218[/C][/ROW]
[ROW][C]0.3467 (2.8846)[/C][C]12.937464[/C][/ROW]
[ROW][C]0.3493 (2.8626)[/C][C]10.259428[/C][/ROW]
[ROW][C]0.352 (2.8409)[/C][C]63.62926[/C][/ROW]
[ROW][C]0.3547 (2.8195)[/C][C]25.555449[/C][/ROW]
[ROW][C]0.3573 (2.7985)[/C][C]47.110978[/C][/ROW]
[ROW][C]0.36 (2.7778)[/C][C]227.295396[/C][/ROW]
[ROW][C]0.3627 (2.7574)[/C][C]57.778091[/C][/ROW]
[ROW][C]0.3653 (2.7372)[/C][C]139.658575[/C][/ROW]
[ROW][C]0.368 (2.7174)[/C][C]7.232037[/C][/ROW]
[ROW][C]0.3707 (2.6978)[/C][C]76.84108[/C][/ROW]
[ROW][C]0.3733 (2.6786)[/C][C]109.428622[/C][/ROW]
[ROW][C]0.376 (2.6596)[/C][C]165.086864[/C][/ROW]
[ROW][C]0.3787 (2.6408)[/C][C]128.445846[/C][/ROW]
[ROW][C]0.3813 (2.6224)[/C][C]67.632926[/C][/ROW]
[ROW][C]0.384 (2.6042)[/C][C]89.589667[/C][/ROW]
[ROW][C]0.3867 (2.5862)[/C][C]41.65152[/C][/ROW]
[ROW][C]0.3893 (2.5685)[/C][C]59.396031[/C][/ROW]
[ROW][C]0.392 (2.551)[/C][C]214.334633[/C][/ROW]
[ROW][C]0.3947 (2.5338)[/C][C]10.287744[/C][/ROW]
[ROW][C]0.3973 (2.5168)[/C][C]9.359942[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]54.063651[/C][/ROW]
[ROW][C]0.4027 (2.4834)[/C][C]2.912784[/C][/ROW]
[ROW][C]0.4053 (2.4671)[/C][C]58.494762[/C][/ROW]
[ROW][C]0.408 (2.451)[/C][C]26.581021[/C][/ROW]
[ROW][C]0.4107 (2.4351)[/C][C]116.613975[/C][/ROW]
[ROW][C]0.4133 (2.4194)[/C][C]187.501108[/C][/ROW]
[ROW][C]0.416 (2.4038)[/C][C]88.512627[/C][/ROW]
[ROW][C]0.4187 (2.3885)[/C][C]48.872166[/C][/ROW]
[ROW][C]0.4213 (2.3734)[/C][C]34.374816[/C][/ROW]
[ROW][C]0.424 (2.3585)[/C][C]19.387644[/C][/ROW]
[ROW][C]0.4267 (2.3438)[/C][C]37.146936[/C][/ROW]
[ROW][C]0.4293 (2.3292)[/C][C]142.133894[/C][/ROW]
[ROW][C]0.432 (2.3148)[/C][C]128.523864[/C][/ROW]
[ROW][C]0.4347 (2.3006)[/C][C]49.840368[/C][/ROW]
[ROW][C]0.4373 (2.2866)[/C][C]73.44745[/C][/ROW]
[ROW][C]0.44 (2.2727)[/C][C]335.958175[/C][/ROW]
[ROW][C]0.4427 (2.259)[/C][C]289.572657[/C][/ROW]
[ROW][C]0.4453 (2.2455)[/C][C]60.532083[/C][/ROW]
[ROW][C]0.448 (2.2321)[/C][C]231.100951[/C][/ROW]
[ROW][C]0.4507 (2.2189)[/C][C]10.534292[/C][/ROW]
[ROW][C]0.4533 (2.2059)[/C][C]77.725244[/C][/ROW]
[ROW][C]0.456 (2.193)[/C][C]12.797397[/C][/ROW]
[ROW][C]0.4587 (2.1802)[/C][C]60.183444[/C][/ROW]
[ROW][C]0.4613 (2.1676)[/C][C]70.032626[/C][/ROW]
[ROW][C]0.464 (2.1552)[/C][C]166.882862[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]191.674124[/C][/ROW]
[ROW][C]0.4693 (2.1307)[/C][C]431.06572[/C][/ROW]
[ROW][C]0.472 (2.1186)[/C][C]255.561925[/C][/ROW]
[ROW][C]0.4747 (2.1067)[/C][C]32.242903[/C][/ROW]
[ROW][C]0.4773 (2.095)[/C][C]154.515714[/C][/ROW]
[ROW][C]0.48 (2.0833)[/C][C]51.756045[/C][/ROW]
[ROW][C]0.4827 (2.0718)[/C][C]56.218798[/C][/ROW]
[ROW][C]0.4853 (2.0604)[/C][C]5.378753[/C][/ROW]
[ROW][C]0.488 (2.0492)[/C][C]83.122118[/C][/ROW]
[ROW][C]0.4907 (2.038)[/C][C]269.55473[/C][/ROW]
[ROW][C]0.4933 (2.027)[/C][C]20.367655[/C][/ROW]
[ROW][C]0.496 (2.0161)[/C][C]84.041347[/C][/ROW]
[ROW][C]0.4987 (2.0053)[/C][C]209.292773[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106108&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106108&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0027 (375)44.756848
0.0053 (187.5)41.378072
0.008 (125)262.91018
0.0107 (93.75)32.156278
0.0133 (75)1.037854
0.016 (62.5)19.347785
0.0187 (53.5714)42.240211
0.0213 (46.875)90.246558
0.024 (41.6667)58.858552
0.0267 (37.5)312.008107
0.0293 (34.0909)653.415282
0.032 (31.25)328.153652
0.0347 (28.8462)143.927434
0.0373 (26.7857)574.122305
0.04 (25)365.879004
0.0427 (23.4375)26.35568
0.0453 (22.0588)45.410052
0.048 (20.8333)121.472796
0.0507 (19.7368)32.071431
0.0533 (18.75)82.136238
0.056 (17.8571)117.016741
0.0587 (17.0455)250.829287
0.0613 (16.3043)581.893209
0.064 (15.625)29.973124
0.0667 (15)29.1306
0.0693 (14.4231)37.398077
0.072 (13.8889)11.022342
0.0747 (13.3929)106.285427
0.0773 (12.931)108.599354
0.08 (12.5)174.550864
0.0827 (12.0968)380.278501
0.0853 (11.7188)74.231025
0.088 (11.3636)507.215698
0.0907 (11.0294)247.458907
0.0933 (10.7143)541.635683
0.096 (10.4167)943.10699
0.0987 (10.1351)225.785666
0.1013 (9.8684)8.775324
0.104 (9.6154)473.770287
0.1067 (9.375)89.834962
0.1093 (9.1463)245.261366
0.112 (8.9286)65.358391
0.1147 (8.7209)20.237047
0.1173 (8.5227)317.857399
0.12 (8.3333)331.148644
0.1227 (8.1522)54.812927
0.1253 (7.9787)482.384159
0.128 (7.8125)135.083889
0.1307 (7.6531)19.210724
0.1333 (7.5)175.419998
0.136 (7.3529)39.4455
0.1387 (7.2115)132.307788
0.1413 (7.0755)84.674814
0.144 (6.9444)140.015575
0.1467 (6.8182)189.021531
0.1493 (6.6964)362.946731
0.152 (6.5789)76.682126
0.1547 (6.4655)234.318563
0.1573 (6.3559)180.569927
0.16 (6.25)108.811158
0.1627 (6.1475)26.671502
0.1653 (6.0484)18.110305
0.168 (5.9524)38.998489
0.1707 (5.8594)49.210767
0.1733 (5.7692)118.740376
0.176 (5.6818)19.007818
0.1787 (5.597)14.621863
0.1813 (5.5147)94.35355
0.184 (5.4348)55.406464
0.1867 (5.3571)19.590672
0.1893 (5.2817)117.089435
0.192 (5.2083)166.647481
0.1947 (5.137)18.334373
0.1973 (5.0676)98.831955
0.2 (5)109.0906
0.2027 (4.9342)41.924937
0.2053 (4.8701)13.511847
0.208 (4.8077)101.767208
0.2107 (4.7468)79.662902
0.2133 (4.6875)148.833659
0.216 (4.6296)16.087533
0.2187 (4.5732)26.03565
0.2213 (4.5181)125.81511
0.224 (4.4643)6.104406
0.2267 (4.4118)95.788193
0.2293 (4.3605)50.162379
0.232 (4.3103)14.457303
0.2347 (4.2614)171.625599
0.2373 (4.2135)14.274806
0.24 (4.1667)61.783601
0.2427 (4.1209)130.474626
0.2453 (4.0761)33.160914
0.248 (4.0323)72.206527
0.2507 (3.9894)145.290902
0.2533 (3.9474)55.992207
0.256 (3.9063)110.97139
0.2587 (3.866)225.481251
0.2613 (3.8265)148.542265
0.264 (3.7879)198.502298
0.2667 (3.75)37.967539
0.2693 (3.7129)125.085381
0.272 (3.6765)224.404435
0.2747 (3.6408)4.660606
0.2773 (3.6058)85.698828
0.28 (3.5714)205.995799
0.2827 (3.5377)15.555956
0.2853 (3.5047)86.043521
0.288 (3.4722)156.473441
0.2907 (3.4404)185.035414
0.2933 (3.4091)67.255508
0.296 (3.3784)75.580025
0.2987 (3.3482)117.638129
0.3013 (3.3186)12.814422
0.304 (3.2895)114.037302
0.3067 (3.2609)110.194064
0.3093 (3.2328)54.958218
0.312 (3.2051)63.937669
0.3147 (3.178)66.394104
0.3173 (3.1513)156.54029
0.32 (3.125)123.479167
0.3227 (3.0992)207.080941
0.3253 (3.0738)273.079418
0.328 (3.0488)140.471205
0.3307 (3.0242)65.132529
0.3333 (3)217.630757
0.336 (2.9762)168.768959
0.3387 (2.9528)93.371675
0.3413 (2.9297)15.516315
0.344 (2.907)41.403218
0.3467 (2.8846)12.937464
0.3493 (2.8626)10.259428
0.352 (2.8409)63.62926
0.3547 (2.8195)25.555449
0.3573 (2.7985)47.110978
0.36 (2.7778)227.295396
0.3627 (2.7574)57.778091
0.3653 (2.7372)139.658575
0.368 (2.7174)7.232037
0.3707 (2.6978)76.84108
0.3733 (2.6786)109.428622
0.376 (2.6596)165.086864
0.3787 (2.6408)128.445846
0.3813 (2.6224)67.632926
0.384 (2.6042)89.589667
0.3867 (2.5862)41.65152
0.3893 (2.5685)59.396031
0.392 (2.551)214.334633
0.3947 (2.5338)10.287744
0.3973 (2.5168)9.359942
0.4 (2.5)54.063651
0.4027 (2.4834)2.912784
0.4053 (2.4671)58.494762
0.408 (2.451)26.581021
0.4107 (2.4351)116.613975
0.4133 (2.4194)187.501108
0.416 (2.4038)88.512627
0.4187 (2.3885)48.872166
0.4213 (2.3734)34.374816
0.424 (2.3585)19.387644
0.4267 (2.3438)37.146936
0.4293 (2.3292)142.133894
0.432 (2.3148)128.523864
0.4347 (2.3006)49.840368
0.4373 (2.2866)73.44745
0.44 (2.2727)335.958175
0.4427 (2.259)289.572657
0.4453 (2.2455)60.532083
0.448 (2.2321)231.100951
0.4507 (2.2189)10.534292
0.4533 (2.2059)77.725244
0.456 (2.193)12.797397
0.4587 (2.1802)60.183444
0.4613 (2.1676)70.032626
0.464 (2.1552)166.882862
0.4667 (2.1429)191.674124
0.4693 (2.1307)431.06572
0.472 (2.1186)255.561925
0.4747 (2.1067)32.242903
0.4773 (2.095)154.515714
0.48 (2.0833)51.756045
0.4827 (2.0718)56.218798
0.4853 (2.0604)5.378753
0.488 (2.0492)83.122118
0.4907 (2.038)269.55473
0.4933 (2.027)20.367655
0.496 (2.0161)84.041347
0.4987 (2.0053)209.292773



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