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of Irreproducible Research!

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, 22 Dec 2017 14:07:40 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/22/t1513948138dr5gf0scuxwrxqm.htm/, Retrieved Thu, 31 Oct 2024 23:26:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=310777, Retrieved Thu, 31 Oct 2024 23:26:24 +0000
QR Codes:

Original text written by user:Stap 4 voorbeeld 2 (Time Series) De grafiek blijft deze keer tussen de twee lijnen wat betekent dat het model correct onderbouwd is en we de juiste parameters gebruikt hebben
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [Voorbeeld 2 (SA)] [2017-12-22 13:07:40] [84a8d6985c1bda8999f49f22468687ba] [Current]
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Dataseries X:
55.5
63
77.2
71.1
90.1
91.5
76.1
87.8
81
77.2
73.8
68.9
68.4
65.2
78.7
77
97.6
88.1
98.7
93.4
68
87.9
75.8
66.3
68.4
71.3
77.4
87.1
88.5
85.9
92.7
88.5
80.2
81.8
70.4
82.2
72.8
69
83
92.4
92.3
100.5
106.9
99.5
85.9
92.6
77.4
84.1
75.3
73.8
100.1
90.7
96.5
111.8
97.4
100.8
93.7
82
86
84.3
73.1
75.4
97.9
97.5
106
112.8
99.5
100.8
102.9
88.8
91.3
88.3
77.4
80.5
96.7
93.8
105
117.1
111.1
105.8
95.7
97.1
91
90.9
83.5
82.3
101.7
108.3
114
118.2
103.4
106.8
95.4
101.8
95.6
94.8
94
82.4
95.8
106.7
114.1
103.9
117.4
105.9
101.7
98.7
91.3
102.3
80.5
86.7
102.6
107.3
108
124.3
117.1
103.9
104.7
95.9
94.2
102.7
70.3
90.2
107.3
104.6
102.7
124.5
117.8
104.2
99.9
91.5
95.7
91.4
86.2
91.5
115.5
113.9
131.9
121.2
105.2
107.5
113.8
100.5
104.8
103.8
93.1
106.2
117.5
109.9
123.6
131.7
111
122
110.9
108
103.6
107.3
94.4
85.2
113.2
111.7
124.3
124
133.4
112.6
115.8
112.3
103.6
111.4
95.1
93.4
117.3
121.5
123.1
139.3
125.8
108.6
121
111.6
99.7
116.7
90.3
90.4
117.3
121.6
114.6
133.3
127.4
115
112.6
108.3
107.6
109
89
102.5
124.5
124.2
130.8
138.7
127.6
130.9
136.9
125.2
131.3
124.1
103.2
118.1
136.5
117.8
145.1
158.8
136.9
132.7




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310777&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=310777&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310777&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center







Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0.5
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.005 (200)1.032469
0.01 (100)0.424762
0.015 (66.6667)1.102907
0.02 (50)1.627084
0.025 (40)0.809126
0.03 (33.3333)2.37801
0.035 (28.5714)0.840311
0.04 (25)2.027798
0.045 (22.2222)0.838355
0.05 (20)0.040198
0.055 (18.1818)0.0899
0.06 (16.6667)0.329296
0.065 (15.3846)0.0182
0.07 (14.2857)0.10837
0.075 (13.3333)0.066485
0.08 (12.5)0.031566
0.085 (11.7647)0.0249
0.09 (11.1111)0.013054
0.095 (10.5263)0.073202
0.1 (10)1.2157
0.105 (9.5238)1.060971
0.11 (9.0909)1.654249
0.115 (8.6957)0.033909
0.12 (8.3333)1.640188
0.125 (8)0.478779
0.13 (7.6923)1.093768
0.135 (7.4074)0.010975
0.14 (7.1429)0.291492
0.145 (6.8966)0.01796
0.15 (6.6667)0.10684
0.155 (6.4516)0.297489
0.16 (6.25)0.033059
0.165 (6.0606)0.010704
0.17 (5.8824)0.031522
0.175 (5.7143)0.040859
0.18 (5.5556)0.04107
0.185 (5.4054)0.150049
0.19 (5.2632)0.272834
0.195 (5.1282)0.506393
0.2 (5)0.134348
0.205 (4.878)0.350007
0.21 (4.7619)1.564921
0.215 (4.6512)0.027681
0.22 (4.5455)2.623153
0.225 (4.4444)0.230818
0.23 (4.3478)0.295043
0.235 (4.2553)0.014924
0.24 (4.1667)0.063072
0.245 (4.0816)0.02445
0.25 (4)0.007416
0.255 (3.9216)0.001062
0.26 (3.8462)0.098309
0.265 (3.7736)1.104068
0.27 (3.7037)0.628869
0.275 (3.6364)0.865518
0.28 (3.5714)0.600854
0.285 (3.5088)1.414978
0.29 (3.4483)0.813883
0.295 (3.3898)0.299996
0.3 (3.3333)2.353127
0.305 (3.2787)0.729446
0.31 (3.2258)0.972346
0.315 (3.1746)0.442489
0.32 (3.125)0.390296
0.325 (3.0769)0.254766
0.33 (3.0303)0.073617
0.335 (2.9851)0.284449
0.34 (2.9412)0.42306
0.345 (2.8986)1.022645
0.35 (2.8571)4.038484
0.355 (2.8169)0.581761
0.36 (2.7778)0.232887
0.365 (2.7397)0.707795
0.37 (2.7027)0.956124
0.375 (2.6667)0.031495
0.38 (2.6316)0.455542
0.385 (2.5974)1.018455
0.39 (2.5641)1.032755
0.395 (2.5316)0.374305
0.4 (2.5)0.004847
0.405 (2.4691)0.056009
0.41 (2.439)0.071788
0.415 (2.4096)0.052542
0.42 (2.381)0.006684
0.425 (2.3529)0.013046
0.43 (2.3256)1.099085
0.435 (2.2989)0.691315
0.44 (2.2727)0.366479
0.445 (2.2472)0.337839
0.45 (2.2222)0.62809
0.455 (2.1978)0.391695
0.46 (2.1739)0.504218
0.465 (2.1505)1.599705
0.47 (2.1277)1.936157
0.475 (2.1053)0.511432
0.48 (2.0833)0.201049
0.485 (2.0619)0.291331
0.49 (2.0408)0.068417
0.495 (2.0202)0.025082
0.5 (2)0.008483

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 0.5 \tabularnewline
Degree of non-seasonal differencing (d) & 0 \tabularnewline
Degree of seasonal differencing (D) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.005 (200) & 1.032469 \tabularnewline
0.01 (100) & 0.424762 \tabularnewline
0.015 (66.6667) & 1.102907 \tabularnewline
0.02 (50) & 1.627084 \tabularnewline
0.025 (40) & 0.809126 \tabularnewline
0.03 (33.3333) & 2.37801 \tabularnewline
0.035 (28.5714) & 0.840311 \tabularnewline
0.04 (25) & 2.027798 \tabularnewline
0.045 (22.2222) & 0.838355 \tabularnewline
0.05 (20) & 0.040198 \tabularnewline
0.055 (18.1818) & 0.0899 \tabularnewline
0.06 (16.6667) & 0.329296 \tabularnewline
0.065 (15.3846) & 0.0182 \tabularnewline
0.07 (14.2857) & 0.10837 \tabularnewline
0.075 (13.3333) & 0.066485 \tabularnewline
0.08 (12.5) & 0.031566 \tabularnewline
0.085 (11.7647) & 0.0249 \tabularnewline
0.09 (11.1111) & 0.013054 \tabularnewline
0.095 (10.5263) & 0.073202 \tabularnewline
0.1 (10) & 1.2157 \tabularnewline
0.105 (9.5238) & 1.060971 \tabularnewline
0.11 (9.0909) & 1.654249 \tabularnewline
0.115 (8.6957) & 0.033909 \tabularnewline
0.12 (8.3333) & 1.640188 \tabularnewline
0.125 (8) & 0.478779 \tabularnewline
0.13 (7.6923) & 1.093768 \tabularnewline
0.135 (7.4074) & 0.010975 \tabularnewline
0.14 (7.1429) & 0.291492 \tabularnewline
0.145 (6.8966) & 0.01796 \tabularnewline
0.15 (6.6667) & 0.10684 \tabularnewline
0.155 (6.4516) & 0.297489 \tabularnewline
0.16 (6.25) & 0.033059 \tabularnewline
0.165 (6.0606) & 0.010704 \tabularnewline
0.17 (5.8824) & 0.031522 \tabularnewline
0.175 (5.7143) & 0.040859 \tabularnewline
0.18 (5.5556) & 0.04107 \tabularnewline
0.185 (5.4054) & 0.150049 \tabularnewline
0.19 (5.2632) & 0.272834 \tabularnewline
0.195 (5.1282) & 0.506393 \tabularnewline
0.2 (5) & 0.134348 \tabularnewline
0.205 (4.878) & 0.350007 \tabularnewline
0.21 (4.7619) & 1.564921 \tabularnewline
0.215 (4.6512) & 0.027681 \tabularnewline
0.22 (4.5455) & 2.623153 \tabularnewline
0.225 (4.4444) & 0.230818 \tabularnewline
0.23 (4.3478) & 0.295043 \tabularnewline
0.235 (4.2553) & 0.014924 \tabularnewline
0.24 (4.1667) & 0.063072 \tabularnewline
0.245 (4.0816) & 0.02445 \tabularnewline
0.25 (4) & 0.007416 \tabularnewline
0.255 (3.9216) & 0.001062 \tabularnewline
0.26 (3.8462) & 0.098309 \tabularnewline
0.265 (3.7736) & 1.104068 \tabularnewline
0.27 (3.7037) & 0.628869 \tabularnewline
0.275 (3.6364) & 0.865518 \tabularnewline
0.28 (3.5714) & 0.600854 \tabularnewline
0.285 (3.5088) & 1.414978 \tabularnewline
0.29 (3.4483) & 0.813883 \tabularnewline
0.295 (3.3898) & 0.299996 \tabularnewline
0.3 (3.3333) & 2.353127 \tabularnewline
0.305 (3.2787) & 0.729446 \tabularnewline
0.31 (3.2258) & 0.972346 \tabularnewline
0.315 (3.1746) & 0.442489 \tabularnewline
0.32 (3.125) & 0.390296 \tabularnewline
0.325 (3.0769) & 0.254766 \tabularnewline
0.33 (3.0303) & 0.073617 \tabularnewline
0.335 (2.9851) & 0.284449 \tabularnewline
0.34 (2.9412) & 0.42306 \tabularnewline
0.345 (2.8986) & 1.022645 \tabularnewline
0.35 (2.8571) & 4.038484 \tabularnewline
0.355 (2.8169) & 0.581761 \tabularnewline
0.36 (2.7778) & 0.232887 \tabularnewline
0.365 (2.7397) & 0.707795 \tabularnewline
0.37 (2.7027) & 0.956124 \tabularnewline
0.375 (2.6667) & 0.031495 \tabularnewline
0.38 (2.6316) & 0.455542 \tabularnewline
0.385 (2.5974) & 1.018455 \tabularnewline
0.39 (2.5641) & 1.032755 \tabularnewline
0.395 (2.5316) & 0.374305 \tabularnewline
0.4 (2.5) & 0.004847 \tabularnewline
0.405 (2.4691) & 0.056009 \tabularnewline
0.41 (2.439) & 0.071788 \tabularnewline
0.415 (2.4096) & 0.052542 \tabularnewline
0.42 (2.381) & 0.006684 \tabularnewline
0.425 (2.3529) & 0.013046 \tabularnewline
0.43 (2.3256) & 1.099085 \tabularnewline
0.435 (2.2989) & 0.691315 \tabularnewline
0.44 (2.2727) & 0.366479 \tabularnewline
0.445 (2.2472) & 0.337839 \tabularnewline
0.45 (2.2222) & 0.62809 \tabularnewline
0.455 (2.1978) & 0.391695 \tabularnewline
0.46 (2.1739) & 0.504218 \tabularnewline
0.465 (2.1505) & 1.599705 \tabularnewline
0.47 (2.1277) & 1.936157 \tabularnewline
0.475 (2.1053) & 0.511432 \tabularnewline
0.48 (2.0833) & 0.201049 \tabularnewline
0.485 (2.0619) & 0.291331 \tabularnewline
0.49 (2.0408) & 0.068417 \tabularnewline
0.495 (2.0202) & 0.025082 \tabularnewline
0.5 (2) & 0.008483 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310777&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]0.5[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d)[/C][C]0[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D)[/C][C]1[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.005 (200)[/C][C]1.032469[/C][/ROW]
[ROW][C]0.01 (100)[/C][C]0.424762[/C][/ROW]
[ROW][C]0.015 (66.6667)[/C][C]1.102907[/C][/ROW]
[ROW][C]0.02 (50)[/C][C]1.627084[/C][/ROW]
[ROW][C]0.025 (40)[/C][C]0.809126[/C][/ROW]
[ROW][C]0.03 (33.3333)[/C][C]2.37801[/C][/ROW]
[ROW][C]0.035 (28.5714)[/C][C]0.840311[/C][/ROW]
[ROW][C]0.04 (25)[/C][C]2.027798[/C][/ROW]
[ROW][C]0.045 (22.2222)[/C][C]0.838355[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]0.040198[/C][/ROW]
[ROW][C]0.055 (18.1818)[/C][C]0.0899[/C][/ROW]
[ROW][C]0.06 (16.6667)[/C][C]0.329296[/C][/ROW]
[ROW][C]0.065 (15.3846)[/C][C]0.0182[/C][/ROW]
[ROW][C]0.07 (14.2857)[/C][C]0.10837[/C][/ROW]
[ROW][C]0.075 (13.3333)[/C][C]0.066485[/C][/ROW]
[ROW][C]0.08 (12.5)[/C][C]0.031566[/C][/ROW]
[ROW][C]0.085 (11.7647)[/C][C]0.0249[/C][/ROW]
[ROW][C]0.09 (11.1111)[/C][C]0.013054[/C][/ROW]
[ROW][C]0.095 (10.5263)[/C][C]0.073202[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]1.2157[/C][/ROW]
[ROW][C]0.105 (9.5238)[/C][C]1.060971[/C][/ROW]
[ROW][C]0.11 (9.0909)[/C][C]1.654249[/C][/ROW]
[ROW][C]0.115 (8.6957)[/C][C]0.033909[/C][/ROW]
[ROW][C]0.12 (8.3333)[/C][C]1.640188[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]0.478779[/C][/ROW]
[ROW][C]0.13 (7.6923)[/C][C]1.093768[/C][/ROW]
[ROW][C]0.135 (7.4074)[/C][C]0.010975[/C][/ROW]
[ROW][C]0.14 (7.1429)[/C][C]0.291492[/C][/ROW]
[ROW][C]0.145 (6.8966)[/C][C]0.01796[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]0.10684[/C][/ROW]
[ROW][C]0.155 (6.4516)[/C][C]0.297489[/C][/ROW]
[ROW][C]0.16 (6.25)[/C][C]0.033059[/C][/ROW]
[ROW][C]0.165 (6.0606)[/C][C]0.010704[/C][/ROW]
[ROW][C]0.17 (5.8824)[/C][C]0.031522[/C][/ROW]
[ROW][C]0.175 (5.7143)[/C][C]0.040859[/C][/ROW]
[ROW][C]0.18 (5.5556)[/C][C]0.04107[/C][/ROW]
[ROW][C]0.185 (5.4054)[/C][C]0.150049[/C][/ROW]
[ROW][C]0.19 (5.2632)[/C][C]0.272834[/C][/ROW]
[ROW][C]0.195 (5.1282)[/C][C]0.506393[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]0.134348[/C][/ROW]
[ROW][C]0.205 (4.878)[/C][C]0.350007[/C][/ROW]
[ROW][C]0.21 (4.7619)[/C][C]1.564921[/C][/ROW]
[ROW][C]0.215 (4.6512)[/C][C]0.027681[/C][/ROW]
[ROW][C]0.22 (4.5455)[/C][C]2.623153[/C][/ROW]
[ROW][C]0.225 (4.4444)[/C][C]0.230818[/C][/ROW]
[ROW][C]0.23 (4.3478)[/C][C]0.295043[/C][/ROW]
[ROW][C]0.235 (4.2553)[/C][C]0.014924[/C][/ROW]
[ROW][C]0.24 (4.1667)[/C][C]0.063072[/C][/ROW]
[ROW][C]0.245 (4.0816)[/C][C]0.02445[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.007416[/C][/ROW]
[ROW][C]0.255 (3.9216)[/C][C]0.001062[/C][/ROW]
[ROW][C]0.26 (3.8462)[/C][C]0.098309[/C][/ROW]
[ROW][C]0.265 (3.7736)[/C][C]1.104068[/C][/ROW]
[ROW][C]0.27 (3.7037)[/C][C]0.628869[/C][/ROW]
[ROW][C]0.275 (3.6364)[/C][C]0.865518[/C][/ROW]
[ROW][C]0.28 (3.5714)[/C][C]0.600854[/C][/ROW]
[ROW][C]0.285 (3.5088)[/C][C]1.414978[/C][/ROW]
[ROW][C]0.29 (3.4483)[/C][C]0.813883[/C][/ROW]
[ROW][C]0.295 (3.3898)[/C][C]0.299996[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]2.353127[/C][/ROW]
[ROW][C]0.305 (3.2787)[/C][C]0.729446[/C][/ROW]
[ROW][C]0.31 (3.2258)[/C][C]0.972346[/C][/ROW]
[ROW][C]0.315 (3.1746)[/C][C]0.442489[/C][/ROW]
[ROW][C]0.32 (3.125)[/C][C]0.390296[/C][/ROW]
[ROW][C]0.325 (3.0769)[/C][C]0.254766[/C][/ROW]
[ROW][C]0.33 (3.0303)[/C][C]0.073617[/C][/ROW]
[ROW][C]0.335 (2.9851)[/C][C]0.284449[/C][/ROW]
[ROW][C]0.34 (2.9412)[/C][C]0.42306[/C][/ROW]
[ROW][C]0.345 (2.8986)[/C][C]1.022645[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]4.038484[/C][/ROW]
[ROW][C]0.355 (2.8169)[/C][C]0.581761[/C][/ROW]
[ROW][C]0.36 (2.7778)[/C][C]0.232887[/C][/ROW]
[ROW][C]0.365 (2.7397)[/C][C]0.707795[/C][/ROW]
[ROW][C]0.37 (2.7027)[/C][C]0.956124[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]0.031495[/C][/ROW]
[ROW][C]0.38 (2.6316)[/C][C]0.455542[/C][/ROW]
[ROW][C]0.385 (2.5974)[/C][C]1.018455[/C][/ROW]
[ROW][C]0.39 (2.5641)[/C][C]1.032755[/C][/ROW]
[ROW][C]0.395 (2.5316)[/C][C]0.374305[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]0.004847[/C][/ROW]
[ROW][C]0.405 (2.4691)[/C][C]0.056009[/C][/ROW]
[ROW][C]0.41 (2.439)[/C][C]0.071788[/C][/ROW]
[ROW][C]0.415 (2.4096)[/C][C]0.052542[/C][/ROW]
[ROW][C]0.42 (2.381)[/C][C]0.006684[/C][/ROW]
[ROW][C]0.425 (2.3529)[/C][C]0.013046[/C][/ROW]
[ROW][C]0.43 (2.3256)[/C][C]1.099085[/C][/ROW]
[ROW][C]0.435 (2.2989)[/C][C]0.691315[/C][/ROW]
[ROW][C]0.44 (2.2727)[/C][C]0.366479[/C][/ROW]
[ROW][C]0.445 (2.2472)[/C][C]0.337839[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]0.62809[/C][/ROW]
[ROW][C]0.455 (2.1978)[/C][C]0.391695[/C][/ROW]
[ROW][C]0.46 (2.1739)[/C][C]0.504218[/C][/ROW]
[ROW][C]0.465 (2.1505)[/C][C]1.599705[/C][/ROW]
[ROW][C]0.47 (2.1277)[/C][C]1.936157[/C][/ROW]
[ROW][C]0.475 (2.1053)[/C][C]0.511432[/C][/ROW]
[ROW][C]0.48 (2.0833)[/C][C]0.201049[/C][/ROW]
[ROW][C]0.485 (2.0619)[/C][C]0.291331[/C][/ROW]
[ROW][C]0.49 (2.0408)[/C][C]0.068417[/C][/ROW]
[ROW][C]0.495 (2.0202)[/C][C]0.025082[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.008483[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=310777&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310777&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)0.5
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.005 (200)1.032469
0.01 (100)0.424762
0.015 (66.6667)1.102907
0.02 (50)1.627084
0.025 (40)0.809126
0.03 (33.3333)2.37801
0.035 (28.5714)0.840311
0.04 (25)2.027798
0.045 (22.2222)0.838355
0.05 (20)0.040198
0.055 (18.1818)0.0899
0.06 (16.6667)0.329296
0.065 (15.3846)0.0182
0.07 (14.2857)0.10837
0.075 (13.3333)0.066485
0.08 (12.5)0.031566
0.085 (11.7647)0.0249
0.09 (11.1111)0.013054
0.095 (10.5263)0.073202
0.1 (10)1.2157
0.105 (9.5238)1.060971
0.11 (9.0909)1.654249
0.115 (8.6957)0.033909
0.12 (8.3333)1.640188
0.125 (8)0.478779
0.13 (7.6923)1.093768
0.135 (7.4074)0.010975
0.14 (7.1429)0.291492
0.145 (6.8966)0.01796
0.15 (6.6667)0.10684
0.155 (6.4516)0.297489
0.16 (6.25)0.033059
0.165 (6.0606)0.010704
0.17 (5.8824)0.031522
0.175 (5.7143)0.040859
0.18 (5.5556)0.04107
0.185 (5.4054)0.150049
0.19 (5.2632)0.272834
0.195 (5.1282)0.506393
0.2 (5)0.134348
0.205 (4.878)0.350007
0.21 (4.7619)1.564921
0.215 (4.6512)0.027681
0.22 (4.5455)2.623153
0.225 (4.4444)0.230818
0.23 (4.3478)0.295043
0.235 (4.2553)0.014924
0.24 (4.1667)0.063072
0.245 (4.0816)0.02445
0.25 (4)0.007416
0.255 (3.9216)0.001062
0.26 (3.8462)0.098309
0.265 (3.7736)1.104068
0.27 (3.7037)0.628869
0.275 (3.6364)0.865518
0.28 (3.5714)0.600854
0.285 (3.5088)1.414978
0.29 (3.4483)0.813883
0.295 (3.3898)0.299996
0.3 (3.3333)2.353127
0.305 (3.2787)0.729446
0.31 (3.2258)0.972346
0.315 (3.1746)0.442489
0.32 (3.125)0.390296
0.325 (3.0769)0.254766
0.33 (3.0303)0.073617
0.335 (2.9851)0.284449
0.34 (2.9412)0.42306
0.345 (2.8986)1.022645
0.35 (2.8571)4.038484
0.355 (2.8169)0.581761
0.36 (2.7778)0.232887
0.365 (2.7397)0.707795
0.37 (2.7027)0.956124
0.375 (2.6667)0.031495
0.38 (2.6316)0.455542
0.385 (2.5974)1.018455
0.39 (2.5641)1.032755
0.395 (2.5316)0.374305
0.4 (2.5)0.004847
0.405 (2.4691)0.056009
0.41 (2.439)0.071788
0.415 (2.4096)0.052542
0.42 (2.381)0.006684
0.425 (2.3529)0.013046
0.43 (2.3256)1.099085
0.435 (2.2989)0.691315
0.44 (2.2727)0.366479
0.445 (2.2472)0.337839
0.45 (2.2222)0.62809
0.455 (2.1978)0.391695
0.46 (2.1739)0.504218
0.465 (2.1505)1.599705
0.47 (2.1277)1.936157
0.475 (2.1053)0.511432
0.48 (2.0833)0.201049
0.485 (2.0619)0.291331
0.49 (2.0408)0.068417
0.495 (2.0202)0.025082
0.5 (2)0.008483



Parameters (Session):
par1 = 0.5 ; par2 = 0 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 0.5 ; par2 = 0 ; par3 = 1 ; 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')