FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 17 Dec 2009 20:33:57 +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/2009/Dec/17/t1261078460bhstuz22k0rlgen.htm/, Retrieved Tue, 30 Apr 2024 07:50:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69066, Retrieved Tue, 30 Apr 2024 07:50:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact383

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2009-12-17 19:09:08] [b98453cac15ba1066b407e146608df68]
- RMP     [Spectral Analysis] [] [2009-12-17 19:33:57] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   P       [Spectral Analysis] [Spectrum d=1 D=0] [2010-01-12 11:18:36] [875a981b2b01315c1c471abd4dd66675]
-   P       [Spectral Analysis] [] [2010-01-12 11:26:29] [7773f496f69461f4a67891f0ef752622]
-   P       [Spectral Analysis] [Examenblog] [2010-01-12 11:41:01] [54d83950395cfb8ca1091bdb7440f70a]
-   P       [Spectral Analysis] [examen blog] [2010-01-12 11:42:53] [3dd791303389e75e672968b227170a72]
-   P       [Spectral Analysis] [] [2010-01-12 11:47:01] [7369a9baefff1ba9d2171738b4c9faa6]
-   P       [Spectral Analysis] [] [2010-01-12 11:48:05] [e48499dbc39d7bbb032694d069ad98a5]
-   P       [Spectral Analysis] [] [2010-01-12 11:48:29] [639dd97b6eeebe46a3c92d62cb04fb95]
-   P       [Spectral Analysis] [examen] [2010-01-12 12:06:47] [960f506a46b790b06fab7ca57984a121]
-   P       [Spectral Analysis] [Spectrum] [2010-01-12 12:09:25] [4f1a20f787b3465111b61213cdeef1a9]
-   P       [Spectral Analysis] [] [2010-01-12 12:08:26] [0e3da40906c04c6abfe5eb434331b3f1]
-   P       [Spectral Analysis] [] [2010-01-12 12:10:11] [8897cd62d3fdfaaf07e95c4df3f298e1]
-   P       [Spectral Analysis] [] [2010-01-12 12:30:02] [3b0db66ac8145b1be856a517e2900332]
-           [Spectral Analysis] [Examen_BryanBeutels] [2010-01-26 08:04:34] [408e92805dcb18620260f240a7fb9d53]
-   P       [Spectral Analysis] [] [2010-01-26 08:08:18] [7c2a5b25a196bd646844b8f5223c9b3e]
-           [Spectral Analysis] [Examen] [2010-01-26 08:08:35] [4a2be4899cba879e4eea9daa25281df8]
-           [Spectral Analysis] [] [2010-01-26 08:08:48] [187876c4ad94aebda16017e4a72ae602]
-   P       [Spectral Analysis] [Vraag 3] [2010-01-26 08:07:30] [df6326eec97a6ca984a853b142930499]
-   P       [Spectral Analysis] [] [2010-01-26 08:05:37] [74be16979710d4c4e7c6647856088456]
-   P       [Spectral Analysis] [Examen 26-01] [2010-01-26 08:08:11] [8733f8ed033058987ec00f5e71b74854]
-   P       [Spectral Analysis] [] [2010-01-26 08:11:40] [913d65a4bc010aaba5c1c09793158b70]
-             [Spectral Analysis] [] [2010-01-26 08:15:17] [74be16979710d4c4e7c6647856088456]
-           [Spectral Analysis] [] [2010-01-26 08:18:04] [74be16979710d4c4e7c6647856088456]
-   P       [Spectral Analysis] [vraag 3] [2010-01-26 08:23:15] [e4f78fbd4fadb70a8ee6066dde22270d]
-   P       [Spectral Analysis] [examen xavier die...] [2010-01-26 08:24:18] [95cead3ebb75668735f848316249436a]
-   P       [Spectral Analysis] [examen statistiek...] [2010-01-26 08:26:16] [c620fe7250af73a91c51407172a85dab]
-   P       [Spectral Analysis] [Spectrum-d=1-D=0-...] [2010-01-26 08:26:53] [f15cfb7053d35072d573abca87df96a0]
-   P       [Spectral Analysis] [] [2010-01-26 08:26:21] [517ac0676608e46c618c738721d88e41]
-   P       [Spectral Analysis] [Examenvraag 3] [2010-01-26 08:32:23] [3c8b83428ce260cd44df892bb7619588]
-   P       [Spectral Analysis] [Vraag 3] [2010-01-26 08:40:53] [1d635fe1113b56bab3f378c464a289bc]
-   P       [Spectral Analysis] [] [2010-01-26 08:42:28] [9b30bff5dd5a100f8196daf92e735633]
-   P       [Spectral Analysis] [Examen] [2010-01-26 08:41:41] [5f89c040fdf1f8599c99d7f78a662321]
-   P       [Spectral Analysis] [examen] [2010-01-26 08:43:31] [74be16979710d4c4e7c6647856088456]
-   P       [Spectral Analysis] [] [2010-01-26 08:41:44] [0a7d38ad9c7f1a2c46637c75a8a0e083]
-   P       [Spectral Analysis] [] [2010-01-26 08:44:22] [fd59abe368d8219a006d49608e51987e]
-   P       [Spectral Analysis] [examen ] [2010-01-26 08:52:31] [af8eb90b4bf1bcfcc4325c143dbee260]
-   P       [Spectral Analysis] [Examen Statistiek...] [2010-01-26 08:56:46] [214e6e00abbde49700521a7ef1d30da2]
-   P       [Spectral Analysis] [vraag 3] [2010-01-26 08:56:33] [74be16979710d4c4e7c6647856088456]
-   P       [Spectral Analysis] [examen] [2010-01-26 09:00:05] [7d268329e554b8694908ba13e6e6f258]
-   P       [Spectral Analysis] [] [2010-01-26 09:02:15] [3cb427d596a5d2eb77fa64560dc91319]
-   P       [Spectral Analysis] [Examen Sofie Vanb...] [2010-01-26 12:34:21] [db72903d7941c8279d5ce0e4e873d517]
-   P       [Spectral Analysis] [vraag 3 examen] [2010-01-26 12:34:55] [8b1aef4e7013bd33fbc2a5833375c5f5]
-   P       [Spectral Analysis] [] [2010-01-26 12:36:09] [1b4c3bbe3f2ba180dd536c5a6a81a8e6]
-           [Spectral Analysis] [Vraag 3] [2010-01-26 12:36:57] [63ade4fa1ecdf904ece782695747c03e]
-   P       [Spectral Analysis] [Vraag 3 pc examen] [2010-01-26 12:37:31] [143cbdcaf7333bdd9926a1dde50d1082]
-   P       [Spectral Analysis] [] [2010-01-26 12:36:38] [3e19a07d230ba260a720e0e03e0f40f2]
-   P       [Spectral Analysis] [Examen] [2010-01-26 12:39:05] [0df1a6455bedfaf424729b1e006090d0]
-   P       [Spectral Analysis] [Spectrumwaarde] [2010-01-26 12:39:11] [ff6896cd60d3b2257a9a5027c462fa18]
-   P       [Spectral Analysis] [] [2010-01-26 12:52:34] [74be16979710d4c4e7c6647856088456]

[Truncated]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
277
260.6
291.6
275.4
275.3
231.7
238.8
274.2
277.8
299.1
286.6
232.3
294.1
267.5
309.7
280.7
287.3
235.7
256.4
289
290.8
321.9
291.8
241.4
295.5
258.2
306.1
281.5
283.1
237.4
274.8
299.3
300.4
340.9
318.8
265.7
322.7
281.6
323.5
312.6
310.8
262.8
273.8
320
310.3
342.2
320.1
265.6
327
300.7
346.4
317.3
326.2
270.7
278.2
324.6
321.8
343.5
354
278.2
330.2
307.3
375.9
335.3
339.3
280.3
293.7
341.2
345.1
368.7
369.4
288.4
341
319.1
374.2
344.5
337.3
281
282.2
321
325.4
366.3
380.3
300.7
359.3
327.6
383.6
352.4
329.4
294.5
333.5
334.3
358
396.1
387
307.2
363.9
344.7
397.6
376.8
337.1
299.3
323.1
329.1
347
462
436.5
360.4
415.5
382.1
432.2
424.3
386.7
354.5
375.8
368
402.4
426.5
433.3
338.5
416.8
381.1
445.7
412.4
394
348.2
380.1
373.7
393.6
434.2
430.7
344.5
411.9
370.5
437.3
411.3
385.5
341.3
384.2
373.2
415.8
448.6
454.3
350.3
419.1
398
456.1
430.1
399.8
362.7
384.9
385.3
432.3
468.9
442.7
370.2
439.4
393.9
468.7
438.8
430.1
366.3
391
380.9
431.4
465.4
471.5
387.5
446.4
421.5
504.8
492.1
421.3
396.7
428
421.9
465.6
525.8
499.9
435.3
479.5
473
554.4
489.6
462.2
420.3

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69066&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69066&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69066&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)1
Degree of non-seasonal differencing (d)1
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0056 (180)4.511828
0.0111 (90)10.831495
0.0167 (60)20.945526
0.0222 (45)22.907066
0.0278 (36)89.664924
0.0333 (30)16.209469
0.0389 (25.7143)89.978589
0.0444 (22.5)112.106935
0.05 (20)107.982324
0.0556 (18)196.704168
0.0611 (16.3636)22.215716
0.0667 (15)143.571246
0.0722 (13.8462)14.34237
0.0778 (12.8571)6.438844
0.0833 (12)13.703522
0.0889 (11.25)8.862213
0.0944 (10.5882)98.408522
0.1 (10)17.144377
0.1056 (9.4737)29.620444
0.1111 (9)98.903639
0.1167 (8.5714)175.626186
0.1222 (8.1818)344.625266
0.1278 (7.8261)834.996744
0.1333 (7.5)405.694518
0.1389 (7.2)319.248513
0.1444 (6.9231)309.427379
0.15 (6.6667)19.34967
0.1556 (6.4286)88.45699
0.1611 (6.2069)20.101594
0.1667 (6)85.070259
0.1722 (5.8065)2.865417
0.1778 (5.625)18.189738
0.1833 (5.4545)137.399298
0.1889 (5.2941)15.958775
0.1944 (5.1429)189.64241
0.2 (5)370.818551
0.2056 (4.8649)502.819125
0.2111 (4.7368)140.040296
0.2167 (4.6154)215.566689
0.2222 (4.5)363.40592
0.2278 (4.3902)2.338337
0.2333 (4.2857)55.111277
0.2389 (4.186)120.594961
0.2444 (4.0909)7.848106
0.25 (4)126.831748
0.2556 (3.913)178.813092
0.2611 (3.8298)219.634835
0.2667 (3.75)121.789204
0.2722 (3.6735)644.62984
0.2778 (3.6)1124.583662
0.2833 (3.5294)140.645876
0.2889 (3.4615)237.611042
0.2944 (3.3962)266.756818
0.3 (3.3333)358.750145
0.3056 (3.2727)498.79855
0.3111 (3.2143)41.599908
0.3167 (3.1579)413.2561
0.3222 (3.1034)918.215444
0.3278 (3.0508)3.733028
0.3333 (3)157.736424
0.3389 (2.9508)149.024747
0.3444 (2.9032)453.327263
0.35 (2.8571)427.635374
0.3556 (2.8125)36.022459
0.3611 (2.7692)325.025285
0.3667 (2.7273)165.485874
0.3722 (2.6866)187.127027
0.3778 (2.6471)1531.414964
0.3833 (2.6087)1303.577071
0.3889 (2.5714)73.509486
0.3944 (2.5352)302.21244
0.4 (2.5)228.808207
0.4056 (2.4658)63.986113
0.4111 (2.4324)73.925903
0.4167 (2.4)83.674233
0.4222 (2.3684)4.056012
0.4278 (2.3377)22.387193
0.4333 (2.3077)69.499355
0.4389 (2.2785)87.328108
0.4444 (2.25)335.965229
0.45 (2.2222)712.096336
0.4556 (2.1951)2494.476105
0.4611 (2.1687)2046.530061
0.4667 (2.1429)1077.829908
0.4722 (2.1176)1878.52168
0.4778 (2.093)471.364501
0.4833 (2.069)475.143632
0.4889 (2.0455)445.959161
0.4944 (2.0225)172.675508
0.5 (2)11.95671

\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) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0056 (180) & 4.511828 \tabularnewline
0.0111 (90) & 10.831495 \tabularnewline
0.0167 (60) & 20.945526 \tabularnewline
0.0222 (45) & 22.907066 \tabularnewline
0.0278 (36) & 89.664924 \tabularnewline
0.0333 (30) & 16.209469 \tabularnewline
0.0389 (25.7143) & 89.978589 \tabularnewline
0.0444 (22.5) & 112.106935 \tabularnewline
0.05 (20) & 107.982324 \tabularnewline
0.0556 (18) & 196.704168 \tabularnewline
0.0611 (16.3636) & 22.215716 \tabularnewline
0.0667 (15) & 143.571246 \tabularnewline
0.0722 (13.8462) & 14.34237 \tabularnewline
0.0778 (12.8571) & 6.438844 \tabularnewline
0.0833 (12) & 13.703522 \tabularnewline
0.0889 (11.25) & 8.862213 \tabularnewline
0.0944 (10.5882) & 98.408522 \tabularnewline
0.1 (10) & 17.144377 \tabularnewline
0.1056 (9.4737) & 29.620444 \tabularnewline
0.1111 (9) & 98.903639 \tabularnewline
0.1167 (8.5714) & 175.626186 \tabularnewline
0.1222 (8.1818) & 344.625266 \tabularnewline
0.1278 (7.8261) & 834.996744 \tabularnewline
0.1333 (7.5) & 405.694518 \tabularnewline
0.1389 (7.2) & 319.248513 \tabularnewline
0.1444 (6.9231) & 309.427379 \tabularnewline
0.15 (6.6667) & 19.34967 \tabularnewline
0.1556 (6.4286) & 88.45699 \tabularnewline
0.1611 (6.2069) & 20.101594 \tabularnewline
0.1667 (6) & 85.070259 \tabularnewline
0.1722 (5.8065) & 2.865417 \tabularnewline
0.1778 (5.625) & 18.189738 \tabularnewline
0.1833 (5.4545) & 137.399298 \tabularnewline
0.1889 (5.2941) & 15.958775 \tabularnewline
0.1944 (5.1429) & 189.64241 \tabularnewline
0.2 (5) & 370.818551 \tabularnewline
0.2056 (4.8649) & 502.819125 \tabularnewline
0.2111 (4.7368) & 140.040296 \tabularnewline
0.2167 (4.6154) & 215.566689 \tabularnewline
0.2222 (4.5) & 363.40592 \tabularnewline
0.2278 (4.3902) & 2.338337 \tabularnewline
0.2333 (4.2857) & 55.111277 \tabularnewline
0.2389 (4.186) & 120.594961 \tabularnewline
0.2444 (4.0909) & 7.848106 \tabularnewline
0.25 (4) & 126.831748 \tabularnewline
0.2556 (3.913) & 178.813092 \tabularnewline
0.2611 (3.8298) & 219.634835 \tabularnewline
0.2667 (3.75) & 121.789204 \tabularnewline
0.2722 (3.6735) & 644.62984 \tabularnewline
0.2778 (3.6) & 1124.583662 \tabularnewline
0.2833 (3.5294) & 140.645876 \tabularnewline
0.2889 (3.4615) & 237.611042 \tabularnewline
0.2944 (3.3962) & 266.756818 \tabularnewline
0.3 (3.3333) & 358.750145 \tabularnewline
0.3056 (3.2727) & 498.79855 \tabularnewline
0.3111 (3.2143) & 41.599908 \tabularnewline
0.3167 (3.1579) & 413.2561 \tabularnewline
0.3222 (3.1034) & 918.215444 \tabularnewline
0.3278 (3.0508) & 3.733028 \tabularnewline
0.3333 (3) & 157.736424 \tabularnewline
0.3389 (2.9508) & 149.024747 \tabularnewline
0.3444 (2.9032) & 453.327263 \tabularnewline
0.35 (2.8571) & 427.635374 \tabularnewline
0.3556 (2.8125) & 36.022459 \tabularnewline
0.3611 (2.7692) & 325.025285 \tabularnewline
0.3667 (2.7273) & 165.485874 \tabularnewline
0.3722 (2.6866) & 187.127027 \tabularnewline
0.3778 (2.6471) & 1531.414964 \tabularnewline
0.3833 (2.6087) & 1303.577071 \tabularnewline
0.3889 (2.5714) & 73.509486 \tabularnewline
0.3944 (2.5352) & 302.21244 \tabularnewline
0.4 (2.5) & 228.808207 \tabularnewline
0.4056 (2.4658) & 63.986113 \tabularnewline
0.4111 (2.4324) & 73.925903 \tabularnewline
0.4167 (2.4) & 83.674233 \tabularnewline
0.4222 (2.3684) & 4.056012 \tabularnewline
0.4278 (2.3377) & 22.387193 \tabularnewline
0.4333 (2.3077) & 69.499355 \tabularnewline
0.4389 (2.2785) & 87.328108 \tabularnewline
0.4444 (2.25) & 335.965229 \tabularnewline
0.45 (2.2222) & 712.096336 \tabularnewline
0.4556 (2.1951) & 2494.476105 \tabularnewline
0.4611 (2.1687) & 2046.530061 \tabularnewline
0.4667 (2.1429) & 1077.829908 \tabularnewline
0.4722 (2.1176) & 1878.52168 \tabularnewline
0.4778 (2.093) & 471.364501 \tabularnewline
0.4833 (2.069) & 475.143632 \tabularnewline
0.4889 (2.0455) & 445.959161 \tabularnewline
0.4944 (2.0225) & 172.675508 \tabularnewline
0.5 (2) & 11.95671 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69066&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]1[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0056 (180)[/C][C]4.511828[/C][/ROW]
[ROW][C]0.0111 (90)[/C][C]10.831495[/C][/ROW]
[ROW][C]0.0167 (60)[/C][C]20.945526[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]22.907066[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]89.664924[/C][/ROW]
[ROW][C]0.0333 (30)[/C][C]16.209469[/C][/ROW]
[ROW][C]0.0389 (25.7143)[/C][C]89.978589[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]112.106935[/C][/ROW]
[ROW][C]0.05 (20)[/C][C]107.982324[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]196.704168[/C][/ROW]
[ROW][C]0.0611 (16.3636)[/C][C]22.215716[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]143.571246[/C][/ROW]
[ROW][C]0.0722 (13.8462)[/C][C]14.34237[/C][/ROW]
[ROW][C]0.0778 (12.8571)[/C][C]6.438844[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]13.703522[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]8.862213[/C][/ROW]
[ROW][C]0.0944 (10.5882)[/C][C]98.408522[/C][/ROW]
[ROW][C]0.1 (10)[/C][C]17.144377[/C][/ROW]
[ROW][C]0.1056 (9.4737)[/C][C]29.620444[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]98.903639[/C][/ROW]
[ROW][C]0.1167 (8.5714)[/C][C]175.626186[/C][/ROW]
[ROW][C]0.1222 (8.1818)[/C][C]344.625266[/C][/ROW]
[ROW][C]0.1278 (7.8261)[/C][C]834.996744[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]405.694518[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]319.248513[/C][/ROW]
[ROW][C]0.1444 (6.9231)[/C][C]309.427379[/C][/ROW]
[ROW][C]0.15 (6.6667)[/C][C]19.34967[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]88.45699[/C][/ROW]
[ROW][C]0.1611 (6.2069)[/C][C]20.101594[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]85.070259[/C][/ROW]
[ROW][C]0.1722 (5.8065)[/C][C]2.865417[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]18.189738[/C][/ROW]
[ROW][C]0.1833 (5.4545)[/C][C]137.399298[/C][/ROW]
[ROW][C]0.1889 (5.2941)[/C][C]15.958775[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]189.64241[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]370.818551[/C][/ROW]
[ROW][C]0.2056 (4.8649)[/C][C]502.819125[/C][/ROW]
[ROW][C]0.2111 (4.7368)[/C][C]140.040296[/C][/ROW]
[ROW][C]0.2167 (4.6154)[/C][C]215.566689[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]363.40592[/C][/ROW]
[ROW][C]0.2278 (4.3902)[/C][C]2.338337[/C][/ROW]
[ROW][C]0.2333 (4.2857)[/C][C]55.111277[/C][/ROW]
[ROW][C]0.2389 (4.186)[/C][C]120.594961[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]7.848106[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]126.831748[/C][/ROW]
[ROW][C]0.2556 (3.913)[/C][C]178.813092[/C][/ROW]
[ROW][C]0.2611 (3.8298)[/C][C]219.634835[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]121.789204[/C][/ROW]
[ROW][C]0.2722 (3.6735)[/C][C]644.62984[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]1124.583662[/C][/ROW]
[ROW][C]0.2833 (3.5294)[/C][C]140.645876[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]237.611042[/C][/ROW]
[ROW][C]0.2944 (3.3962)[/C][C]266.756818[/C][/ROW]
[ROW][C]0.3 (3.3333)[/C][C]358.750145[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]498.79855[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]41.599908[/C][/ROW]
[ROW][C]0.3167 (3.1579)[/C][C]413.2561[/C][/ROW]
[ROW][C]0.3222 (3.1034)[/C][C]918.215444[/C][/ROW]
[ROW][C]0.3278 (3.0508)[/C][C]3.733028[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]157.736424[/C][/ROW]
[ROW][C]0.3389 (2.9508)[/C][C]149.024747[/C][/ROW]
[ROW][C]0.3444 (2.9032)[/C][C]453.327263[/C][/ROW]
[ROW][C]0.35 (2.8571)[/C][C]427.635374[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]36.022459[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]325.025285[/C][/ROW]
[ROW][C]0.3667 (2.7273)[/C][C]165.485874[/C][/ROW]
[ROW][C]0.3722 (2.6866)[/C][C]187.127027[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]1531.414964[/C][/ROW]
[ROW][C]0.3833 (2.6087)[/C][C]1303.577071[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]73.509486[/C][/ROW]
[ROW][C]0.3944 (2.5352)[/C][C]302.21244[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]228.808207[/C][/ROW]
[ROW][C]0.4056 (2.4658)[/C][C]63.986113[/C][/ROW]
[ROW][C]0.4111 (2.4324)[/C][C]73.925903[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]83.674233[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]4.056012[/C][/ROW]
[ROW][C]0.4278 (2.3377)[/C][C]22.387193[/C][/ROW]
[ROW][C]0.4333 (2.3077)[/C][C]69.499355[/C][/ROW]
[ROW][C]0.4389 (2.2785)[/C][C]87.328108[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]335.965229[/C][/ROW]
[ROW][C]0.45 (2.2222)[/C][C]712.096336[/C][/ROW]
[ROW][C]0.4556 (2.1951)[/C][C]2494.476105[/C][/ROW]
[ROW][C]0.4611 (2.1687)[/C][C]2046.530061[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]1077.829908[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]1878.52168[/C][/ROW]
[ROW][C]0.4778 (2.093)[/C][C]471.364501[/C][/ROW]
[ROW][C]0.4833 (2.069)[/C][C]475.143632[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]445.959161[/C][/ROW]
[ROW][C]0.4944 (2.0225)[/C][C]172.675508[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]11.95671[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69066&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69066&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)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0056 (180)4.511828
0.0111 (90)10.831495
0.0167 (60)20.945526
0.0222 (45)22.907066
0.0278 (36)89.664924
0.0333 (30)16.209469
0.0389 (25.7143)89.978589
0.0444 (22.5)112.106935
0.05 (20)107.982324
0.0556 (18)196.704168
0.0611 (16.3636)22.215716
0.0667 (15)143.571246
0.0722 (13.8462)14.34237
0.0778 (12.8571)6.438844
0.0833 (12)13.703522
0.0889 (11.25)8.862213
0.0944 (10.5882)98.408522
0.1 (10)17.144377
0.1056 (9.4737)29.620444
0.1111 (9)98.903639
0.1167 (8.5714)175.626186
0.1222 (8.1818)344.625266
0.1278 (7.8261)834.996744
0.1333 (7.5)405.694518
0.1389 (7.2)319.248513
0.1444 (6.9231)309.427379
0.15 (6.6667)19.34967
0.1556 (6.4286)88.45699
0.1611 (6.2069)20.101594
0.1667 (6)85.070259
0.1722 (5.8065)2.865417
0.1778 (5.625)18.189738
0.1833 (5.4545)137.399298
0.1889 (5.2941)15.958775
0.1944 (5.1429)189.64241
0.2 (5)370.818551
0.2056 (4.8649)502.819125
0.2111 (4.7368)140.040296
0.2167 (4.6154)215.566689
0.2222 (4.5)363.40592
0.2278 (4.3902)2.338337
0.2333 (4.2857)55.111277
0.2389 (4.186)120.594961
0.2444 (4.0909)7.848106
0.25 (4)126.831748
0.2556 (3.913)178.813092
0.2611 (3.8298)219.634835
0.2667 (3.75)121.789204
0.2722 (3.6735)644.62984
0.2778 (3.6)1124.583662
0.2833 (3.5294)140.645876
0.2889 (3.4615)237.611042
0.2944 (3.3962)266.756818
0.3 (3.3333)358.750145
0.3056 (3.2727)498.79855
0.3111 (3.2143)41.599908
0.3167 (3.1579)413.2561
0.3222 (3.1034)918.215444
0.3278 (3.0508)3.733028
0.3333 (3)157.736424
0.3389 (2.9508)149.024747
0.3444 (2.9032)453.327263
0.35 (2.8571)427.635374
0.3556 (2.8125)36.022459
0.3611 (2.7692)325.025285
0.3667 (2.7273)165.485874
0.3722 (2.6866)187.127027
0.3778 (2.6471)1531.414964
0.3833 (2.6087)1303.577071
0.3889 (2.5714)73.509486
0.3944 (2.5352)302.21244
0.4 (2.5)228.808207
0.4056 (2.4658)63.986113
0.4111 (2.4324)73.925903
0.4167 (2.4)83.674233
0.4222 (2.3684)4.056012
0.4278 (2.3377)22.387193
0.4333 (2.3077)69.499355
0.4389 (2.2785)87.328108
0.4444 (2.25)335.965229
0.45 (2.2222)712.096336
0.4556 (2.1951)2494.476105
0.4611 (2.1687)2046.530061
0.4667 (2.1429)1077.829908
0.4722 (2.1176)1878.52168
0.4778 (2.093)471.364501
0.4833 (2.069)475.143632
0.4889 (2.0455)445.959161
0.4944 (2.0225)172.675508
0.5 (2)11.95671


Figures (Output of Computation)

Input Parameters & R Code

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