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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 computationTue, 24 Nov 2009 13:54:59 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/24/t125909623974p7feaw5f3dhgl.htm/, Retrieved Thu, 18 Apr 2024 21:02:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59279, Retrieved Thu, 18 Apr 2024 21:02:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Spectral Analysis] [Identifying Integ...] [2009-11-22 12:38:17] [b98453cac15ba1066b407e146608df68]
-   PD          [Spectral Analysis] [trend WS8] [2009-11-24 20:54:59] [f0f26816ac6124f58333f11f6c174000] [Current]
-   P             [Spectral Analysis] [seizonaliteit uit...] [2009-11-24 21:13:23] [8b1aef4e7013bd33fbc2a5833375c5f5]
-                   [Spectral Analysis] [] [2009-11-27 10:01:33] [08fc5c07292c885b941f0cb515ce13f3]
-   PD            [Spectral Analysis] [SHw WS8] [2009-11-25 20:17:46] [af2352cd9a951bedd08ebe247d0de1a2]
-   PD            [Spectral Analysis] [SHw WS8] [2009-11-25 20:23:58] [af2352cd9a951bedd08ebe247d0de1a2]
-                 [Spectral Analysis] [] [2009-11-27 09:57:14] [08fc5c07292c885b941f0cb515ce13f3]
-   PD            [Spectral Analysis] [WS8(6)] [2009-11-27 11:14:48] [7d268329e554b8694908ba13e6e6f258]
-   PD            [Spectral Analysis] [WS8(6)] [2009-11-27 11:14:48] [7d268329e554b8694908ba13e6e6f258]
F   PD              [Spectral Analysis] [WS8(7)] [2009-11-27 11:33:05] [7d268329e554b8694908ba13e6e6f258]
-   P                 [Spectral Analysis] [cs.shw.ws8.r1] [2009-12-04 09:01:22] [74be16979710d4c4e7c6647856088456]
-   PD              [Spectral Analysis] [d=2 en D=0] [2009-11-27 21:32:52] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D              [Spectral Analysis] [Spectrum1] [2009-12-17 11:35:44] [7d268329e554b8694908ba13e6e6f258]
-   P                 [Spectral Analysis] [Spectrum2] [2009-12-17 12:27:33] [7d268329e554b8694908ba13e6e6f258]
-   P                   [Spectral Analysis] [Spectrum3] [2009-12-17 14:14:02] [7d268329e554b8694908ba13e6e6f258]
-    D              [Spectral Analysis] [] [2009-12-19 13:17:57] [f57b281e621ed7dff28b90886f5aa97c]
-   P             [Spectral Analysis] [periodogram d=0 p...] [2009-12-13 16:13:29] [8b1aef4e7013bd33fbc2a5833375c5f5]
-    D              [Spectral Analysis] [paper timeserie S...] [2010-12-07 15:21:32] [814f53995537cd15c528d8efbf1cf544]
-   PD                [Spectral Analysis] [paper timeserie S...] [2010-12-07 15:44:37] [814f53995537cd15c528d8efbf1cf544]
-   PD                [Spectral Analysis] [paper spectrum D=1] [2010-12-07 16:44:46] [814f53995537cd15c528d8efbf1cf544]
- R PD            [Spectral Analysis] [] [2011-12-20 18:29:37] [06c08141d7d783218a8164fd2ea166f2]
-                   [Spectral Analysis] [] [2011-12-20 18:50:41] [06c08141d7d783218a8164fd2ea166f2]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
153.3
154.5
155.2
156.9
157
157.4
157.2
157.5
158
158.5
159
159.3
160
160.8
161.9
162.5
162.7
162.8
162.9
163
164
164.7
164.8
164.9
165
165.8
166.1
167.2
167.7
168.3
168.6
168.9
169.1
169.5
169.6
169.7
169.8
170.4
170.9
171.9
171.9
172
172
172.4
173
173.7
173.8
173.8
173.9
174.6
175
175.9
176
175.1
175.6
175.9
176.7
176.1
176.1
176.2
176.3
177.8
178.5
179.4
179.5
179.6
179.7
179.7
179.8
179.9
180.2
180.4
180.4
181.3
181.9
182.5
182.7
183.1
183.6
183.7
183.8
183.9
184.1
184.4
184.5
185.9
186.6
187.6
187.8
187.9
188
188.3
188.4
188.5
188.5
188.6
188.6
189.4
190
191.9
192.5
193
193.5
193.9
194.2
194.9
194.9
194.9
194.9
195.5
196
196.2
196.2
196.2
196.2
197
197.7
198
198.2
198.5
198.6
199.5
200
201.3
202.2
202.9
203.5
203.5
204
204.1
204.3
204.5
204.8
205.1
205.7
206.5
206.9
207.1
207.8
208
208.5
208.6
209
209.1
209.7
209.8
209.9
210
210.8
211.4
211.7
212
212.2
212.4
212.9
213.4
213.7
214
214.3
214.8
215
215.9
216.4
216.9
217.2
217.5
217.9
218.1
218.6
218.9
219.3
220.4
220.9
221
221.8
222
222.2
222.5
222.9
223.1
223.4
224
225.1
225.5
225.9
226.3
226.5
227
227.3
227.8
228.1
228.4
228.5
228.8
229
229.1
229.3
229.6
229.9
230
230.2
230.8
231
231.7
231.9
233
235.1
236
236.9
237.1
237.5
238.2
238.9
239.1
240
240.2
240.5
240.7
241.1
241.4
242.2
242.9
243.2
243.9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59279&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59279&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59279&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0044 (225)0.06419
0.0089 (112.5)0.174454
0.0133 (75)0.015107
0.0178 (56.25)0.002736
0.0222 (45)0.148847
0.0267 (37.5)0.186932
0.0311 (32.1429)0.008049
0.0356 (28.125)0.269706
0.04 (25)0.099568
0.0444 (22.5)0.124587
0.0489 (20.4545)0.470809
0.0533 (18.75)0.10584
0.0578 (17.3077)0.339287
0.0622 (16.0714)0.101718
0.0667 (15)0.152469
0.0711 (14.0625)0.017036
0.0756 (13.2353)0.278152
0.08 (12.5)0.747413
0.0844 (11.8421)1.185503
0.0889 (11.25)0.056437
0.0933 (10.7143)0.045272
0.0978 (10.2273)0.029776
0.1022 (9.7826)0.005487
0.1067 (9.375)0.072265
0.1111 (9)0.180787
0.1156 (8.6538)0.017743
0.12 (8.3333)0.078194
0.1244 (8.0357)0.50528
0.1289 (7.7586)0.098168
0.1333 (7.5)0.112175
0.1378 (7.2581)0.022566
0.1422 (7.0312)0.081914
0.1467 (6.8182)0.051454
0.1511 (6.6176)0.011927
0.1556 (6.4286)0.239684
0.16 (6.25)0.236861
0.1644 (6.0811)0.906252
0.1689 (5.9211)0.653319
0.1733 (5.7692)0.408668
0.1778 (5.625)0.284532
0.1822 (5.4878)0.150345
0.1867 (5.3571)0.057687
0.1911 (5.2326)0.125505
0.1956 (5.1136)0.019933
0.2 (5)0.128237
0.2044 (4.8913)0.179203
0.2089 (4.7872)0.101548
0.2133 (4.6875)0.012398
0.2178 (4.5918)0.028213
0.2222 (4.5)0.002893
0.2267 (4.4118)0.190575
0.2311 (4.3269)0.044705
0.2356 (4.2453)0.003912
0.24 (4.1667)0.044969
0.2444 (4.0909)0.045099
0.2489 (4.0179)0.069871
0.2533 (3.9474)0.045617
0.2578 (3.8793)0.127423
0.2622 (3.8136)0.041364
0.2667 (3.75)0.079017
0.2711 (3.6885)0.005712
0.2756 (3.629)0.05129
0.28 (3.5714)0.061862
0.2844 (3.5156)0.037534
0.2889 (3.4615)0.023648
0.2933 (3.4091)0.071255
0.2978 (3.3582)0.117847
0.3022 (3.3088)0.109689
0.3067 (3.2609)0.080548
0.3111 (3.2143)0.090709
0.3156 (3.169)0.035449
0.32 (3.125)0.053466
0.3244 (3.0822)0.08901
0.3289 (3.0405)0.03321
0.3333 (3)0.023765
0.3378 (2.9605)0.061758
0.3422 (2.9221)0.006672
0.3467 (2.8846)0.064796
0.3511 (2.8481)0.008766
0.3556 (2.8125)0.060677
0.36 (2.7778)0.01455
0.3644 (2.7439)0.12167
0.3689 (2.7108)0.001106
0.3733 (2.6786)0.144902
0.3778 (2.6471)0.091972
0.3822 (2.6163)0.067598
0.3867 (2.5862)0.084944
0.3911 (2.5568)0.060115
0.3956 (2.5281)0.011368
0.4 (2.5)0.065598
0.4044 (2.4725)0.000341
0.4089 (2.4457)0.110383
0.4133 (2.4194)0.4107
0.4178 (2.3936)0.433366
0.4222 (2.3684)0.254299
0.4267 (2.3438)0.051606
0.4311 (2.3196)0.043555
0.4356 (2.2959)0.023637
0.44 (2.2727)0.010382
0.4444 (2.25)0.156241
0.4489 (2.2277)0.182798
0.4533 (2.2059)0.021509
0.4578 (2.1845)0.014681
0.4622 (2.1635)0.011865
0.4667 (2.1429)0.099763
0.4711 (2.1226)0.05716
0.4756 (2.1028)0.235147
0.48 (2.0833)0.00988
0.4844 (2.0642)0.15806
0.4889 (2.0455)0.141656
0.4933 (2.027)0.101685
0.4978 (2.0089)0.291555

\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
0.0044 (225) & 0.06419 \tabularnewline
0.0089 (112.5) & 0.174454 \tabularnewline
0.0133 (75) & 0.015107 \tabularnewline
0.0178 (56.25) & 0.002736 \tabularnewline
0.0222 (45) & 0.148847 \tabularnewline
0.0267 (37.5) & 0.186932 \tabularnewline
0.0311 (32.1429) & 0.008049 \tabularnewline
0.0356 (28.125) & 0.269706 \tabularnewline
0.04 (25) & 0.099568 \tabularnewline
0.0444 (22.5) & 0.124587 \tabularnewline
0.0489 (20.4545) & 0.470809 \tabularnewline
0.0533 (18.75) & 0.10584 \tabularnewline
0.0578 (17.3077) & 0.339287 \tabularnewline
0.0622 (16.0714) & 0.101718 \tabularnewline
0.0667 (15) & 0.152469 \tabularnewline
0.0711 (14.0625) & 0.017036 \tabularnewline
0.0756 (13.2353) & 0.278152 \tabularnewline
0.08 (12.5) & 0.747413 \tabularnewline
0.0844 (11.8421) & 1.185503 \tabularnewline
0.0889 (11.25) & 0.056437 \tabularnewline
0.0933 (10.7143) & 0.045272 \tabularnewline
0.0978 (10.2273) & 0.029776 \tabularnewline
0.1022 (9.7826) & 0.005487 \tabularnewline
0.1067 (9.375) & 0.072265 \tabularnewline
0.1111 (9) & 0.180787 \tabularnewline
0.1156 (8.6538) & 0.017743 \tabularnewline
0.12 (8.3333) & 0.078194 \tabularnewline
0.1244 (8.0357) & 0.50528 \tabularnewline
0.1289 (7.7586) & 0.098168 \tabularnewline
0.1333 (7.5) & 0.112175 \tabularnewline
0.1378 (7.2581) & 0.022566 \tabularnewline
0.1422 (7.0312) & 0.081914 \tabularnewline
0.1467 (6.8182) & 0.051454 \tabularnewline
0.1511 (6.6176) & 0.011927 \tabularnewline
0.1556 (6.4286) & 0.239684 \tabularnewline
0.16 (6.25) & 0.236861 \tabularnewline
0.1644 (6.0811) & 0.906252 \tabularnewline
0.1689 (5.9211) & 0.653319 \tabularnewline
0.1733 (5.7692) & 0.408668 \tabularnewline
0.1778 (5.625) & 0.284532 \tabularnewline
0.1822 (5.4878) & 0.150345 \tabularnewline
0.1867 (5.3571) & 0.057687 \tabularnewline
0.1911 (5.2326) & 0.125505 \tabularnewline
0.1956 (5.1136) & 0.019933 \tabularnewline
0.2 (5) & 0.128237 \tabularnewline
0.2044 (4.8913) & 0.179203 \tabularnewline
0.2089 (4.7872) & 0.101548 \tabularnewline
0.2133 (4.6875) & 0.012398 \tabularnewline
0.2178 (4.5918) & 0.028213 \tabularnewline
0.2222 (4.5) & 0.002893 \tabularnewline
0.2267 (4.4118) & 0.190575 \tabularnewline
0.2311 (4.3269) & 0.044705 \tabularnewline
0.2356 (4.2453) & 0.003912 \tabularnewline
0.24 (4.1667) & 0.044969 \tabularnewline
0.2444 (4.0909) & 0.045099 \tabularnewline
0.2489 (4.0179) & 0.069871 \tabularnewline
0.2533 (3.9474) & 0.045617 \tabularnewline
0.2578 (3.8793) & 0.127423 \tabularnewline
0.2622 (3.8136) & 0.041364 \tabularnewline
0.2667 (3.75) & 0.079017 \tabularnewline
0.2711 (3.6885) & 0.005712 \tabularnewline
0.2756 (3.629) & 0.05129 \tabularnewline
0.28 (3.5714) & 0.061862 \tabularnewline
0.2844 (3.5156) & 0.037534 \tabularnewline
0.2889 (3.4615) & 0.023648 \tabularnewline
0.2933 (3.4091) & 0.071255 \tabularnewline
0.2978 (3.3582) & 0.117847 \tabularnewline
0.3022 (3.3088) & 0.109689 \tabularnewline
0.3067 (3.2609) & 0.080548 \tabularnewline
0.3111 (3.2143) & 0.090709 \tabularnewline
0.3156 (3.169) & 0.035449 \tabularnewline
0.32 (3.125) & 0.053466 \tabularnewline
0.3244 (3.0822) & 0.08901 \tabularnewline
0.3289 (3.0405) & 0.03321 \tabularnewline
0.3333 (3) & 0.023765 \tabularnewline
0.3378 (2.9605) & 0.061758 \tabularnewline
0.3422 (2.9221) & 0.006672 \tabularnewline
0.3467 (2.8846) & 0.064796 \tabularnewline
0.3511 (2.8481) & 0.008766 \tabularnewline
0.3556 (2.8125) & 0.060677 \tabularnewline
0.36 (2.7778) & 0.01455 \tabularnewline
0.3644 (2.7439) & 0.12167 \tabularnewline
0.3689 (2.7108) & 0.001106 \tabularnewline
0.3733 (2.6786) & 0.144902 \tabularnewline
0.3778 (2.6471) & 0.091972 \tabularnewline
0.3822 (2.6163) & 0.067598 \tabularnewline
0.3867 (2.5862) & 0.084944 \tabularnewline
0.3911 (2.5568) & 0.060115 \tabularnewline
0.3956 (2.5281) & 0.011368 \tabularnewline
0.4 (2.5) & 0.065598 \tabularnewline
0.4044 (2.4725) & 0.000341 \tabularnewline
0.4089 (2.4457) & 0.110383 \tabularnewline
0.4133 (2.4194) & 0.4107 \tabularnewline
0.4178 (2.3936) & 0.433366 \tabularnewline
0.4222 (2.3684) & 0.254299 \tabularnewline
0.4267 (2.3438) & 0.051606 \tabularnewline
0.4311 (2.3196) & 0.043555 \tabularnewline
0.4356 (2.2959) & 0.023637 \tabularnewline
0.44 (2.2727) & 0.010382 \tabularnewline
0.4444 (2.25) & 0.156241 \tabularnewline
0.4489 (2.2277) & 0.182798 \tabularnewline
0.4533 (2.2059) & 0.021509 \tabularnewline
0.4578 (2.1845) & 0.014681 \tabularnewline
0.4622 (2.1635) & 0.011865 \tabularnewline
0.4667 (2.1429) & 0.099763 \tabularnewline
0.4711 (2.1226) & 0.05716 \tabularnewline
0.4756 (2.1028) & 0.235147 \tabularnewline
0.48 (2.0833) & 0.00988 \tabularnewline
0.4844 (2.0642) & 0.15806 \tabularnewline
0.4889 (2.0455) & 0.141656 \tabularnewline
0.4933 (2.027) & 0.101685 \tabularnewline
0.4978 (2.0089) & 0.291555 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59279&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]0.0044 (225)[/C][C]0.06419[/C][/ROW]
[ROW][C]0.0089 (112.5)[/C][C]0.174454[/C][/ROW]
[ROW][C]0.0133 (75)[/C][C]0.015107[/C][/ROW]
[ROW][C]0.0178 (56.25)[/C][C]0.002736[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]0.148847[/C][/ROW]
[ROW][C]0.0267 (37.5)[/C][C]0.186932[/C][/ROW]
[ROW][C]0.0311 (32.1429)[/C][C]0.008049[/C][/ROW]
[ROW][C]0.0356 (28.125)[/C][C]0.269706[/C][/ROW]
[ROW][C]0.04 (25)[/C][C]0.099568[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]0.124587[/C][/ROW]
[ROW][C]0.0489 (20.4545)[/C][C]0.470809[/C][/ROW]
[ROW][C]0.0533 (18.75)[/C][C]0.10584[/C][/ROW]
[ROW][C]0.0578 (17.3077)[/C][C]0.339287[/C][/ROW]
[ROW][C]0.0622 (16.0714)[/C][C]0.101718[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]0.152469[/C][/ROW]
[ROW][C]0.0711 (14.0625)[/C][C]0.017036[/C][/ROW]
[ROW][C]0.0756 (13.2353)[/C][C]0.278152[/C][/ROW]
[ROW][C]0.08 (12.5)[/C][C]0.747413[/C][/ROW]
[ROW][C]0.0844 (11.8421)[/C][C]1.185503[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]0.056437[/C][/ROW]
[ROW][C]0.0933 (10.7143)[/C][C]0.045272[/C][/ROW]
[ROW][C]0.0978 (10.2273)[/C][C]0.029776[/C][/ROW]
[ROW][C]0.1022 (9.7826)[/C][C]0.005487[/C][/ROW]
[ROW][C]0.1067 (9.375)[/C][C]0.072265[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]0.180787[/C][/ROW]
[ROW][C]0.1156 (8.6538)[/C][C]0.017743[/C][/ROW]
[ROW][C]0.12 (8.3333)[/C][C]0.078194[/C][/ROW]
[ROW][C]0.1244 (8.0357)[/C][C]0.50528[/C][/ROW]
[ROW][C]0.1289 (7.7586)[/C][C]0.098168[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]0.112175[/C][/ROW]
[ROW][C]0.1378 (7.2581)[/C][C]0.022566[/C][/ROW]
[ROW][C]0.1422 (7.0312)[/C][C]0.081914[/C][/ROW]
[ROW][C]0.1467 (6.8182)[/C][C]0.051454[/C][/ROW]
[ROW][C]0.1511 (6.6176)[/C][C]0.011927[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]0.239684[/C][/ROW]
[ROW][C]0.16 (6.25)[/C][C]0.236861[/C][/ROW]
[ROW][C]0.1644 (6.0811)[/C][C]0.906252[/C][/ROW]
[ROW][C]0.1689 (5.9211)[/C][C]0.653319[/C][/ROW]
[ROW][C]0.1733 (5.7692)[/C][C]0.408668[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]0.284532[/C][/ROW]
[ROW][C]0.1822 (5.4878)[/C][C]0.150345[/C][/ROW]
[ROW][C]0.1867 (5.3571)[/C][C]0.057687[/C][/ROW]
[ROW][C]0.1911 (5.2326)[/C][C]0.125505[/C][/ROW]
[ROW][C]0.1956 (5.1136)[/C][C]0.019933[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]0.128237[/C][/ROW]
[ROW][C]0.2044 (4.8913)[/C][C]0.179203[/C][/ROW]
[ROW][C]0.2089 (4.7872)[/C][C]0.101548[/C][/ROW]
[ROW][C]0.2133 (4.6875)[/C][C]0.012398[/C][/ROW]
[ROW][C]0.2178 (4.5918)[/C][C]0.028213[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]0.002893[/C][/ROW]
[ROW][C]0.2267 (4.4118)[/C][C]0.190575[/C][/ROW]
[ROW][C]0.2311 (4.3269)[/C][C]0.044705[/C][/ROW]
[ROW][C]0.2356 (4.2453)[/C][C]0.003912[/C][/ROW]
[ROW][C]0.24 (4.1667)[/C][C]0.044969[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]0.045099[/C][/ROW]
[ROW][C]0.2489 (4.0179)[/C][C]0.069871[/C][/ROW]
[ROW][C]0.2533 (3.9474)[/C][C]0.045617[/C][/ROW]
[ROW][C]0.2578 (3.8793)[/C][C]0.127423[/C][/ROW]
[ROW][C]0.2622 (3.8136)[/C][C]0.041364[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]0.079017[/C][/ROW]
[ROW][C]0.2711 (3.6885)[/C][C]0.005712[/C][/ROW]
[ROW][C]0.2756 (3.629)[/C][C]0.05129[/C][/ROW]
[ROW][C]0.28 (3.5714)[/C][C]0.061862[/C][/ROW]
[ROW][C]0.2844 (3.5156)[/C][C]0.037534[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]0.023648[/C][/ROW]
[ROW][C]0.2933 (3.4091)[/C][C]0.071255[/C][/ROW]
[ROW][C]0.2978 (3.3582)[/C][C]0.117847[/C][/ROW]
[ROW][C]0.3022 (3.3088)[/C][C]0.109689[/C][/ROW]
[ROW][C]0.3067 (3.2609)[/C][C]0.080548[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]0.090709[/C][/ROW]
[ROW][C]0.3156 (3.169)[/C][C]0.035449[/C][/ROW]
[ROW][C]0.32 (3.125)[/C][C]0.053466[/C][/ROW]
[ROW][C]0.3244 (3.0822)[/C][C]0.08901[/C][/ROW]
[ROW][C]0.3289 (3.0405)[/C][C]0.03321[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.023765[/C][/ROW]
[ROW][C]0.3378 (2.9605)[/C][C]0.061758[/C][/ROW]
[ROW][C]0.3422 (2.9221)[/C][C]0.006672[/C][/ROW]
[ROW][C]0.3467 (2.8846)[/C][C]0.064796[/C][/ROW]
[ROW][C]0.3511 (2.8481)[/C][C]0.008766[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]0.060677[/C][/ROW]
[ROW][C]0.36 (2.7778)[/C][C]0.01455[/C][/ROW]
[ROW][C]0.3644 (2.7439)[/C][C]0.12167[/C][/ROW]
[ROW][C]0.3689 (2.7108)[/C][C]0.001106[/C][/ROW]
[ROW][C]0.3733 (2.6786)[/C][C]0.144902[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]0.091972[/C][/ROW]
[ROW][C]0.3822 (2.6163)[/C][C]0.067598[/C][/ROW]
[ROW][C]0.3867 (2.5862)[/C][C]0.084944[/C][/ROW]
[ROW][C]0.3911 (2.5568)[/C][C]0.060115[/C][/ROW]
[ROW][C]0.3956 (2.5281)[/C][C]0.011368[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]0.065598[/C][/ROW]
[ROW][C]0.4044 (2.4725)[/C][C]0.000341[/C][/ROW]
[ROW][C]0.4089 (2.4457)[/C][C]0.110383[/C][/ROW]
[ROW][C]0.4133 (2.4194)[/C][C]0.4107[/C][/ROW]
[ROW][C]0.4178 (2.3936)[/C][C]0.433366[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]0.254299[/C][/ROW]
[ROW][C]0.4267 (2.3438)[/C][C]0.051606[/C][/ROW]
[ROW][C]0.4311 (2.3196)[/C][C]0.043555[/C][/ROW]
[ROW][C]0.4356 (2.2959)[/C][C]0.023637[/C][/ROW]
[ROW][C]0.44 (2.2727)[/C][C]0.010382[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]0.156241[/C][/ROW]
[ROW][C]0.4489 (2.2277)[/C][C]0.182798[/C][/ROW]
[ROW][C]0.4533 (2.2059)[/C][C]0.021509[/C][/ROW]
[ROW][C]0.4578 (2.1845)[/C][C]0.014681[/C][/ROW]
[ROW][C]0.4622 (2.1635)[/C][C]0.011865[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]0.099763[/C][/ROW]
[ROW][C]0.4711 (2.1226)[/C][C]0.05716[/C][/ROW]
[ROW][C]0.4756 (2.1028)[/C][C]0.235147[/C][/ROW]
[ROW][C]0.48 (2.0833)[/C][C]0.00988[/C][/ROW]
[ROW][C]0.4844 (2.0642)[/C][C]0.15806[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]0.141656[/C][/ROW]
[ROW][C]0.4933 (2.027)[/C][C]0.101685[/C][/ROW]
[ROW][C]0.4978 (2.0089)[/C][C]0.291555[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59279&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59279&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)1
Degree of seasonal differencing (D)0
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0044 (225)0.06419
0.0089 (112.5)0.174454
0.0133 (75)0.015107
0.0178 (56.25)0.002736
0.0222 (45)0.148847
0.0267 (37.5)0.186932
0.0311 (32.1429)0.008049
0.0356 (28.125)0.269706
0.04 (25)0.099568
0.0444 (22.5)0.124587
0.0489 (20.4545)0.470809
0.0533 (18.75)0.10584
0.0578 (17.3077)0.339287
0.0622 (16.0714)0.101718
0.0667 (15)0.152469
0.0711 (14.0625)0.017036
0.0756 (13.2353)0.278152
0.08 (12.5)0.747413
0.0844 (11.8421)1.185503
0.0889 (11.25)0.056437
0.0933 (10.7143)0.045272
0.0978 (10.2273)0.029776
0.1022 (9.7826)0.005487
0.1067 (9.375)0.072265
0.1111 (9)0.180787
0.1156 (8.6538)0.017743
0.12 (8.3333)0.078194
0.1244 (8.0357)0.50528
0.1289 (7.7586)0.098168
0.1333 (7.5)0.112175
0.1378 (7.2581)0.022566
0.1422 (7.0312)0.081914
0.1467 (6.8182)0.051454
0.1511 (6.6176)0.011927
0.1556 (6.4286)0.239684
0.16 (6.25)0.236861
0.1644 (6.0811)0.906252
0.1689 (5.9211)0.653319
0.1733 (5.7692)0.408668
0.1778 (5.625)0.284532
0.1822 (5.4878)0.150345
0.1867 (5.3571)0.057687
0.1911 (5.2326)0.125505
0.1956 (5.1136)0.019933
0.2 (5)0.128237
0.2044 (4.8913)0.179203
0.2089 (4.7872)0.101548
0.2133 (4.6875)0.012398
0.2178 (4.5918)0.028213
0.2222 (4.5)0.002893
0.2267 (4.4118)0.190575
0.2311 (4.3269)0.044705
0.2356 (4.2453)0.003912
0.24 (4.1667)0.044969
0.2444 (4.0909)0.045099
0.2489 (4.0179)0.069871
0.2533 (3.9474)0.045617
0.2578 (3.8793)0.127423
0.2622 (3.8136)0.041364
0.2667 (3.75)0.079017
0.2711 (3.6885)0.005712
0.2756 (3.629)0.05129
0.28 (3.5714)0.061862
0.2844 (3.5156)0.037534
0.2889 (3.4615)0.023648
0.2933 (3.4091)0.071255
0.2978 (3.3582)0.117847
0.3022 (3.3088)0.109689
0.3067 (3.2609)0.080548
0.3111 (3.2143)0.090709
0.3156 (3.169)0.035449
0.32 (3.125)0.053466
0.3244 (3.0822)0.08901
0.3289 (3.0405)0.03321
0.3333 (3)0.023765
0.3378 (2.9605)0.061758
0.3422 (2.9221)0.006672
0.3467 (2.8846)0.064796
0.3511 (2.8481)0.008766
0.3556 (2.8125)0.060677
0.36 (2.7778)0.01455
0.3644 (2.7439)0.12167
0.3689 (2.7108)0.001106
0.3733 (2.6786)0.144902
0.3778 (2.6471)0.091972
0.3822 (2.6163)0.067598
0.3867 (2.5862)0.084944
0.3911 (2.5568)0.060115
0.3956 (2.5281)0.011368
0.4 (2.5)0.065598
0.4044 (2.4725)0.000341
0.4089 (2.4457)0.110383
0.4133 (2.4194)0.4107
0.4178 (2.3936)0.433366
0.4222 (2.3684)0.254299
0.4267 (2.3438)0.051606
0.4311 (2.3196)0.043555
0.4356 (2.2959)0.023637
0.44 (2.2727)0.010382
0.4444 (2.25)0.156241
0.4489 (2.2277)0.182798
0.4533 (2.2059)0.021509
0.4578 (2.1845)0.014681
0.4622 (2.1635)0.011865
0.4667 (2.1429)0.099763
0.4711 (2.1226)0.05716
0.4756 (2.1028)0.235147
0.48 (2.0833)0.00988
0.4844 (2.0642)0.15806
0.4889 (2.0455)0.141656
0.4933 (2.027)0.101685
0.4978 (2.0089)0.291555


Figures (Output of Computation)

Input Parameters & R Code

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')