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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 computationSun, 19 Dec 2010 07:24:36 +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/19/t1292743359blvrrhla470j12j.htm/, Retrieved Sat, 04 May 2024 21:59:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112226, Retrieved Sat, 04 May 2024 21:59:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [acf] [2009-12-12 16:02:30] [517ac0676608e46c618c738721d88e41]
- RMPD    [Spectral Analysis] [] [2010-12-19 07:24:36] [5f45e5b827d1a020c3ecc9d930121b4e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5
4
5
6
6
6
7
8
7
8
7
8
8
9
9
8
9
9
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11
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19
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20
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25
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25
28
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25
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36
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36
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42
44
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49
52
50
50
57
58
58
58
61
61
64
68
40
34
46
36
34
45
55
50
56
72
76
78
77
90
88
97
93
84
67
72
75
71
75
90
78
73
62
65
61
58
33
39
56
79
82
79
73
87
85
83
82
83
92
95
97
87
84
84
89
103
106
109
106
105
115
120
124
121
131
139
133
119
123
120
128
134
126
115
106
99
100
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99
100
100
108
109
115
114
108
113
118
122
118
121
118
121
121
112
119
116
110
111
106
108

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112226&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112226&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112226&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






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)1
Frequency (Period)Spectrum
0.0056 (180)472.944042
0.0111 (90)387.718749
0.0167 (60)1365.163113
0.0222 (45)1990.83781
0.0278 (36)1638.387405
0.0333 (30)363.132117
0.0389 (25.7143)795.9779
0.0444 (22.5)1906.875099
0.05 (20)556.810409
0.0556 (18)19.577446
0.0611 (16.3636)108.334531
0.0667 (15)90.195187
0.0722 (13.8462)478.343178
0.0778 (12.8571)275.183426
0.0833 (12)72.067044
0.0889 (11.25)53.402966
0.0944 (10.5882)85.18602
0.1 (10)173.477554
0.1056 (9.4737)125.134013
0.1111 (9)95.387983
0.1167 (8.5714)172.556877
0.1222 (8.1818)136.013421
0.1278 (7.8261)32.062109
0.1333 (7.5)119.563665
0.1389 (7.2)50.496434
0.1444 (6.9231)22.763329
0.15 (6.6667)5.269599
0.1556 (6.4286)3.907867
0.1611 (6.2069)45.739621
0.1667 (6)68.031033
0.1722 (5.8065)32.739912
0.1778 (5.625)130.827369
0.1833 (5.4545)113.291465
0.1889 (5.2941)94.221279
0.1944 (5.1429)77.720361
0.2 (5)36.426975
0.2056 (4.8649)28.462389
0.2111 (4.7368)10.568692
0.2167 (4.6154)13.780439
0.2222 (4.5)73.049586
0.2278 (4.3902)102.196688
0.2333 (4.2857)37.990372
0.2389 (4.186)7.933206
0.2444 (4.0909)0.916021
0.25 (4)3.195123
0.2556 (3.913)0.552289
0.2611 (3.8298)17.496322
0.2667 (3.75)19.732588
0.2722 (3.6735)4.246734
0.2778 (3.6)28.547379
0.2833 (3.5294)50.933075
0.2889 (3.4615)34.621147
0.2944 (3.3962)27.296968
0.3 (3.3333)41.759538
0.3056 (3.2727)24.802505
0.3111 (3.2143)0.503386
0.3167 (3.1579)10.180853
0.3222 (3.1034)1.360887
0.3278 (3.0508)20.415814
0.3333 (3)15.996915
0.3389 (2.9508)7.511809
0.3444 (2.9032)12.44827
0.35 (2.8571)2.289109
0.3556 (2.8125)1.651063
0.3611 (2.7692)2.594842
0.3667 (2.7273)13.124709
0.3722 (2.6866)1.52043
0.3778 (2.6471)7.172454
0.3833 (2.6087)5.448923
0.3889 (2.5714)0.453558
0.3944 (2.5352)8.751324
0.4 (2.5)4.162825
0.4056 (2.4658)0.256401
0.4111 (2.4324)0.181437
0.4167 (2.4)3.67169
0.4222 (2.3684)21.825846
0.4278 (2.3377)2.651515
0.4333 (2.3077)3.717346
0.4389 (2.2785)2.322899
0.4444 (2.25)6.236894
0.45 (2.2222)10.414569
0.4556 (2.1951)2.489114
0.4611 (2.1687)1.376313
0.4667 (2.1429)0.234443
0.4722 (2.1176)2.093854
0.4778 (2.093)4.413104
0.4833 (2.069)17.235725
0.4889 (2.0455)28.91524
0.4944 (2.0225)15.888178
0.5 (2)10.320837

\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) & 1 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0056 (180) & 472.944042 \tabularnewline
0.0111 (90) & 387.718749 \tabularnewline
0.0167 (60) & 1365.163113 \tabularnewline
0.0222 (45) & 1990.83781 \tabularnewline
0.0278 (36) & 1638.387405 \tabularnewline
0.0333 (30) & 363.132117 \tabularnewline
0.0389 (25.7143) & 795.9779 \tabularnewline
0.0444 (22.5) & 1906.875099 \tabularnewline
0.05 (20) & 556.810409 \tabularnewline
0.0556 (18) & 19.577446 \tabularnewline
0.0611 (16.3636) & 108.334531 \tabularnewline
0.0667 (15) & 90.195187 \tabularnewline
0.0722 (13.8462) & 478.343178 \tabularnewline
0.0778 (12.8571) & 275.183426 \tabularnewline
0.0833 (12) & 72.067044 \tabularnewline
0.0889 (11.25) & 53.402966 \tabularnewline
0.0944 (10.5882) & 85.18602 \tabularnewline
0.1 (10) & 173.477554 \tabularnewline
0.1056 (9.4737) & 125.134013 \tabularnewline
0.1111 (9) & 95.387983 \tabularnewline
0.1167 (8.5714) & 172.556877 \tabularnewline
0.1222 (8.1818) & 136.013421 \tabularnewline
0.1278 (7.8261) & 32.062109 \tabularnewline
0.1333 (7.5) & 119.563665 \tabularnewline
0.1389 (7.2) & 50.496434 \tabularnewline
0.1444 (6.9231) & 22.763329 \tabularnewline
0.15 (6.6667) & 5.269599 \tabularnewline
0.1556 (6.4286) & 3.907867 \tabularnewline
0.1611 (6.2069) & 45.739621 \tabularnewline
0.1667 (6) & 68.031033 \tabularnewline
0.1722 (5.8065) & 32.739912 \tabularnewline
0.1778 (5.625) & 130.827369 \tabularnewline
0.1833 (5.4545) & 113.291465 \tabularnewline
0.1889 (5.2941) & 94.221279 \tabularnewline
0.1944 (5.1429) & 77.720361 \tabularnewline
0.2 (5) & 36.426975 \tabularnewline
0.2056 (4.8649) & 28.462389 \tabularnewline
0.2111 (4.7368) & 10.568692 \tabularnewline
0.2167 (4.6154) & 13.780439 \tabularnewline
0.2222 (4.5) & 73.049586 \tabularnewline
0.2278 (4.3902) & 102.196688 \tabularnewline
0.2333 (4.2857) & 37.990372 \tabularnewline
0.2389 (4.186) & 7.933206 \tabularnewline
0.2444 (4.0909) & 0.916021 \tabularnewline
0.25 (4) & 3.195123 \tabularnewline
0.2556 (3.913) & 0.552289 \tabularnewline
0.2611 (3.8298) & 17.496322 \tabularnewline
0.2667 (3.75) & 19.732588 \tabularnewline
0.2722 (3.6735) & 4.246734 \tabularnewline
0.2778 (3.6) & 28.547379 \tabularnewline
0.2833 (3.5294) & 50.933075 \tabularnewline
0.2889 (3.4615) & 34.621147 \tabularnewline
0.2944 (3.3962) & 27.296968 \tabularnewline
0.3 (3.3333) & 41.759538 \tabularnewline
0.3056 (3.2727) & 24.802505 \tabularnewline
0.3111 (3.2143) & 0.503386 \tabularnewline
0.3167 (3.1579) & 10.180853 \tabularnewline
0.3222 (3.1034) & 1.360887 \tabularnewline
0.3278 (3.0508) & 20.415814 \tabularnewline
0.3333 (3) & 15.996915 \tabularnewline
0.3389 (2.9508) & 7.511809 \tabularnewline
0.3444 (2.9032) & 12.44827 \tabularnewline
0.35 (2.8571) & 2.289109 \tabularnewline
0.3556 (2.8125) & 1.651063 \tabularnewline
0.3611 (2.7692) & 2.594842 \tabularnewline
0.3667 (2.7273) & 13.124709 \tabularnewline
0.3722 (2.6866) & 1.52043 \tabularnewline
0.3778 (2.6471) & 7.172454 \tabularnewline
0.3833 (2.6087) & 5.448923 \tabularnewline
0.3889 (2.5714) & 0.453558 \tabularnewline
0.3944 (2.5352) & 8.751324 \tabularnewline
0.4 (2.5) & 4.162825 \tabularnewline
0.4056 (2.4658) & 0.256401 \tabularnewline
0.4111 (2.4324) & 0.181437 \tabularnewline
0.4167 (2.4) & 3.67169 \tabularnewline
0.4222 (2.3684) & 21.825846 \tabularnewline
0.4278 (2.3377) & 2.651515 \tabularnewline
0.4333 (2.3077) & 3.717346 \tabularnewline
0.4389 (2.2785) & 2.322899 \tabularnewline
0.4444 (2.25) & 6.236894 \tabularnewline
0.45 (2.2222) & 10.414569 \tabularnewline
0.4556 (2.1951) & 2.489114 \tabularnewline
0.4611 (2.1687) & 1.376313 \tabularnewline
0.4667 (2.1429) & 0.234443 \tabularnewline
0.4722 (2.1176) & 2.093854 \tabularnewline
0.4778 (2.093) & 4.413104 \tabularnewline
0.4833 (2.069) & 17.235725 \tabularnewline
0.4889 (2.0455) & 28.91524 \tabularnewline
0.4944 (2.0225) & 15.888178 \tabularnewline
0.5 (2) & 10.320837 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112226&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]1[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0056 (180)[/C][C]472.944042[/C][/ROW]
[ROW][C]0.0111 (90)[/C][C]387.718749[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]1365.163113[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]1990.83781[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]1638.387405[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]363.132117[/C][/ROW]
[ROW][C]0.0389 (25.7143)[/C][C]795.9779[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]1906.875099[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]556.810409[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]19.577446[/C][/ROW]
[ROW][C]0.0611 (16.3636)[/C][C]108.334531[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]90.195187[/C][/ROW]
[ROW][C]0.0722 (13.8462)[/C][C]478.343178[/C][/ROW]
[ROW][C]0.0778 (12.8571)[/C][C]275.183426[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]72.067044[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]53.402966[/C][/ROW]
[ROW][C]0.0944 (10.5882)[/C][C]85.18602[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]173.477554[/C][/ROW]
[ROW][C]0.1056 (9.4737)[/C][C]125.134013[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]95.387983[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]172.556877[/C][/ROW]
[ROW][C]0.1222 (8.1818)[/C][C]136.013421[/C][/ROW]
[ROW][C]0.1278 (7.8261)[/C][C]32.062109[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]119.563665[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]50.496434[/C][/ROW]
[ROW][C]0.1444 (6.9231)[/C][C]22.763329[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]5.269599[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]3.907867[/C][/ROW]
[ROW][C]0.1611 (6.2069)[/C][C]45.739621[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]68.031033[/C][/ROW]
[ROW][C]0.1722 (5.8065)[/C][C]32.739912[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]130.827369[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]113.291465[/C][/ROW]
[ROW][C]0.1889 (5.2941)[/C][C]94.221279[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]77.720361[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]36.426975[/C][/ROW]
[ROW][C]0.2056 (4.8649)[/C][C]28.462389[/C][/ROW]
[ROW][C]0.2111 (4.7368)[/C][C]10.568692[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]13.780439[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]73.049586[/C][/ROW]
[ROW][C]0.2278 (4.3902)[/C][C]102.196688[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]37.990372[/C][/ROW]
[ROW][C]0.2389 (4.186)[/C][C]7.933206[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]0.916021[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]3.195123[/C][/ROW]
[ROW][C]0.2556 (3.913)[/C][C]0.552289[/C][/ROW]
[ROW][C]0.2611 (3.8298)[/C][C]17.496322[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]19.732588[/C][/ROW]
[ROW][C]0.2722 (3.6735)[/C][C]4.246734[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]28.547379[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]50.933075[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]34.621147[/C][/ROW]
[ROW][C]0.2944 (3.3962)[/C][C]27.296968[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]41.759538[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]24.802505[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]0.503386[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]10.180853[/C][/ROW]
[ROW][C]0.3222 (3.1034)[/C][C]1.360887[/C][/ROW]
[ROW][C]0.3278 (3.0508)[/C][C]20.415814[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]15.996915[/C][/ROW]
[ROW][C]0.3389 (2.9508)[/C][C]7.511809[/C][/ROW]
[ROW][C]0.3444 (2.9032)[/C][C]12.44827[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]2.289109[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]1.651063[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]2.594842[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]13.124709[/C][/ROW]
[ROW][C]0.3722 (2.6866)[/C][C]1.52043[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]7.172454[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]5.448923[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]0.453558[/C][/ROW]
[ROW][C]0.3944 (2.5352)[/C][C]8.751324[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]4.162825[/C][/ROW]
[ROW][C]0.4056 (2.4658)[/C][C]0.256401[/C][/ROW]
[ROW][C]0.4111 (2.4324)[/C][C]0.181437[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]3.67169[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]21.825846[/C][/ROW]
[ROW][C]0.4278 (2.3377)[/C][C]2.651515[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]3.717346[/C][/ROW]
[ROW][C]0.4389 (2.2785)[/C][C]2.322899[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]6.236894[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]10.414569[/C][/ROW]
[ROW][C]0.4556 (2.1951)[/C][C]2.489114[/C][/ROW]
[ROW][C]0.4611 (2.1687)[/C][C]1.376313[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]0.234443[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]2.093854[/C][/ROW]
[ROW][C]0.4778 (2.093)[/C][C]4.413104[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]17.235725[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]28.91524[/C][/ROW]
[ROW][C]0.4944 (2.0225)[/C][C]15.888178[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]10.320837[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112226&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112226&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)1
Frequency (Period)Spectrum
0.0056 (180)472.944042
0.0111 (90)387.718749
0.0167 (60)1365.163113
0.0222 (45)1990.83781
0.0278 (36)1638.387405
0.0333 (30)363.132117
0.0389 (25.7143)795.9779
0.0444 (22.5)1906.875099
0.05 (20)556.810409
0.0556 (18)19.577446
0.0611 (16.3636)108.334531
0.0667 (15)90.195187
0.0722 (13.8462)478.343178
0.0778 (12.8571)275.183426
0.0833 (12)72.067044
0.0889 (11.25)53.402966
0.0944 (10.5882)85.18602
0.1 (10)173.477554
0.1056 (9.4737)125.134013
0.1111 (9)95.387983
0.1167 (8.5714)172.556877
0.1222 (8.1818)136.013421
0.1278 (7.8261)32.062109
0.1333 (7.5)119.563665
0.1389 (7.2)50.496434
0.1444 (6.9231)22.763329
0.15 (6.6667)5.269599
0.1556 (6.4286)3.907867
0.1611 (6.2069)45.739621
0.1667 (6)68.031033
0.1722 (5.8065)32.739912
0.1778 (5.625)130.827369
0.1833 (5.4545)113.291465
0.1889 (5.2941)94.221279
0.1944 (5.1429)77.720361
0.2 (5)36.426975
0.2056 (4.8649)28.462389
0.2111 (4.7368)10.568692
0.2167 (4.6154)13.780439
0.2222 (4.5)73.049586
0.2278 (4.3902)102.196688
0.2333 (4.2857)37.990372
0.2389 (4.186)7.933206
0.2444 (4.0909)0.916021
0.25 (4)3.195123
0.2556 (3.913)0.552289
0.2611 (3.8298)17.496322
0.2667 (3.75)19.732588
0.2722 (3.6735)4.246734
0.2778 (3.6)28.547379
0.2833 (3.5294)50.933075
0.2889 (3.4615)34.621147
0.2944 (3.3962)27.296968
0.3 (3.3333)41.759538
0.3056 (3.2727)24.802505
0.3111 (3.2143)0.503386
0.3167 (3.1579)10.180853
0.3222 (3.1034)1.360887
0.3278 (3.0508)20.415814
0.3333 (3)15.996915
0.3389 (2.9508)7.511809
0.3444 (2.9032)12.44827
0.35 (2.8571)2.289109
0.3556 (2.8125)1.651063
0.3611 (2.7692)2.594842
0.3667 (2.7273)13.124709
0.3722 (2.6866)1.52043
0.3778 (2.6471)7.172454
0.3833 (2.6087)5.448923
0.3889 (2.5714)0.453558
0.3944 (2.5352)8.751324
0.4 (2.5)4.162825
0.4056 (2.4658)0.256401
0.4111 (2.4324)0.181437
0.4167 (2.4)3.67169
0.4222 (2.3684)21.825846
0.4278 (2.3377)2.651515
0.4333 (2.3077)3.717346
0.4389 (2.2785)2.322899
0.4444 (2.25)6.236894
0.45 (2.2222)10.414569
0.4556 (2.1951)2.489114
0.4611 (2.1687)1.376313
0.4667 (2.1429)0.234443
0.4722 (2.1176)2.093854
0.4778 (2.093)4.413104
0.4833 (2.069)17.235725
0.4889 (2.0455)28.91524
0.4944 (2.0225)15.888178
0.5 (2)10.320837


Figures (Output of Computation)

Input Parameters & R Code

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