Free Statistics

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 computationWed, 30 Nov 2016 11:53:31 +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/2016/Nov/30/t1480503261hrhlubp1meoeovt.htm/, Retrieved Sat, 18 May 2024 23:20:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297335, Retrieved Sat, 18 May 2024 23:20:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [] [2016-11-30 10:53:31] [94ac3c9a028ddd47e8862e80eac9f626] [Current]
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Dataseries X:
-35.68
-39.41
-90.98
-99.79
9.899
-55.35
-82.98
-26.85
-130.7
-196
103.4
-17.23
29.32
217.6
119
73.21
-47.1
-46.35
163
143.1
9.336
159
193.4
312.8
307.3
107.6
95.02
138.2
182.9
179.6
153
269.1
-90.66
143
184.4
26.77
357.3
220.6
237
84.21
353.9
286.6
323
32.15
68.34
127
348.4
488.8
374.3
415.6
79.02
456.2
380.9
246.6
370
255.1
374.3
231
69.4
-15.23
-114.7
-44.41
-49.98
-102.8
108.9
231.6
137
230.1
294.3
228
43.4
-114.2
-145.7
-191.4
54.02
-102.8
-103.1
-145.4
-200
-113.9
-53.66
-288
-143.6
33.77
-249.7
107.6
-191
-89.79
-92.1
-257.4
-116
-329.9
-82.66
-101
-90.6
108.8
-74.68
-146.4
-187
-81.79
-228.1
-46.35
-114
-13.85
-194.7
-164
-48.6
49.77
233.3
-85.41
-34.98
-25.79
-176.1
55.65
15.02
-18.85
-66.66
-166
1.399
96.77
90.32
-102.4
164
-23.79
-66.1
-135.4
-215
-102.9
-64.66
-196
-32.6
41.77
-57.68
-186.4
-91.98
-124.8
-169.1
-44.35
-182
-104.9
-161.7
-22.04
-311.6
-224.2
-248.7
-89.41
-55.98
-80.79
-100.1
-181.4
-0.9764
-146.9
-28.66
88.96
-180.6
-439.2
-266.7
-102.4
-142
-119.8
-135.1
-8.351
-154
27.15
-115.7
0.9611
-50.6
-86.23
-228.7
-94.6
15.83
79.02
9.71
-94.54
-72.17
-122
113.1
33.77
-169.8
-256.4
30.14
13.4
79.83
21.02
70.71
14.46
-24.17
22.96
130.1
121.8
84.21
-6.415




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297335&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=297335&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297335&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 time0 seconds
R ServerBig Analytics Cloud Computing Center







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
0.0052 (192)352370.651523
0.0104 (96)195053.51676
0.0156 (64)374145.297884
0.0208 (48)1224.161188
0.026 (38.4)1974.647437
0.0312 (32)18451.12377
0.0365 (27.4286)5406.015459
0.0417 (24)34780.624375
0.0469 (21.3333)23578.248969
0.0521 (19.2)23514.939527
0.0573 (17.4545)13992.024495
0.0625 (16)55331.520379
0.0677 (14.7692)22147.025811
0.0729 (13.7143)110649.052893
0.0781 (12.8)11070.368985
0.0833 (12)197.603601
0.0885 (11.2941)2651.212609
0.0937 (10.6667)58267.84138
0.099 (10.1053)4219.605926
0.1042 (9.6)23110.410004
0.1094 (9.1429)51637.043559
0.1146 (8.7273)19187.659636
0.1198 (8.3478)7523.957713
0.125 (8)558.741506
0.1302 (7.68)13198.887561
0.1354 (7.3846)11459.033208
0.1406 (7.1111)2058.036472
0.1458 (6.8571)12234.83335
0.151 (6.6207)15179.670465
0.1562 (6.4)42367.532867
0.1615 (6.1935)22664.193923
0.1667 (6)211.431967
0.1719 (5.8182)22274.415608
0.1771 (5.6471)69268.282454
0.1823 (5.4857)18659.686929
0.1875 (5.3333)1705.806347
0.1927 (5.1892)8035.876273
0.1979 (5.0526)376.50475
0.2031 (4.9231)7716.284089
0.2083 (4.8)34934.189538
0.2135 (4.6829)14635.139738
0.2188 (4.5714)6231.99025
0.224 (4.4651)18741.35794
0.2292 (4.3636)11925.530949
0.2344 (4.2667)3471.092945
0.2396 (4.1739)14798.836857
0.2448 (4.0851)3819.945253
0.25 (4)205.862732
0.2552 (3.9184)9024.475507
0.2604 (3.84)23272.123857
0.2656 (3.7647)5538.863655
0.2708 (3.6923)188.94397
0.276 (3.6226)1811.641601
0.2812 (3.5556)52.334613
0.2865 (3.4909)9345.214733
0.2917 (3.4286)7991.270478
0.2969 (3.3684)2708.463924
0.3021 (3.3103)7298.01714
0.3073 (3.2542)13444.202793
0.3125 (3.2)5293.625228
0.3177 (3.1475)4474.897219
0.3229 (3.0968)7122.324351
0.3281 (3.0476)29157.815533
0.3333 (3)460.744428
0.3385 (2.9538)8194.561164
0.3437 (2.9091)1185.330133
0.349 (2.8657)21660.60534
0.3542 (2.8235)7333.011313
0.3594 (2.7826)4666.915682
0.3646 (2.7429)1961.874095
0.3698 (2.7042)1295.101469
0.375 (2.6667)3197.993284
0.3802 (2.6301)5165.768164
0.3854 (2.5946)35797.841651
0.3906 (2.56)39054.60678
0.3958 (2.5263)9107.100267
0.401 (2.4935)4382.22387
0.4062 (2.4615)4505.282132
0.4115 (2.4304)2266.026049
0.4167 (2.4)38.928597
0.4219 (2.3704)9008.518546
0.4271 (2.3415)23825.841455
0.4323 (2.3133)4164.259446
0.4375 (2.2857)29974.17059
0.4427 (2.2588)23521.462491
0.4479 (2.2326)20077.104124
0.4531 (2.2069)3508.479081
0.4583 (2.1818)4835.911834
0.4635 (2.1573)27826.040688
0.4687 (2.1333)411.048254
0.474 (2.1099)8753.301682
0.4792 (2.087)4460.532188
0.4844 (2.0645)7515.904619
0.4896 (2.0426)1092.981393
0.4948 (2.0211)1688.720976
0.5 (2)310.112233

\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
0.0052 (192) & 352370.651523 \tabularnewline
0.0104 (96) & 195053.51676 \tabularnewline
0.0156 (64) & 374145.297884 \tabularnewline
0.0208 (48) & 1224.161188 \tabularnewline
0.026 (38.4) & 1974.647437 \tabularnewline
0.0312 (32) & 18451.12377 \tabularnewline
0.0365 (27.4286) & 5406.015459 \tabularnewline
0.0417 (24) & 34780.624375 \tabularnewline
0.0469 (21.3333) & 23578.248969 \tabularnewline
0.0521 (19.2) & 23514.939527 \tabularnewline
0.0573 (17.4545) & 13992.024495 \tabularnewline
0.0625 (16) & 55331.520379 \tabularnewline
0.0677 (14.7692) & 22147.025811 \tabularnewline
0.0729 (13.7143) & 110649.052893 \tabularnewline
0.0781 (12.8) & 11070.368985 \tabularnewline
0.0833 (12) & 197.603601 \tabularnewline
0.0885 (11.2941) & 2651.212609 \tabularnewline
0.0937 (10.6667) & 58267.84138 \tabularnewline
0.099 (10.1053) & 4219.605926 \tabularnewline
0.1042 (9.6) & 23110.410004 \tabularnewline
0.1094 (9.1429) & 51637.043559 \tabularnewline
0.1146 (8.7273) & 19187.659636 \tabularnewline
0.1198 (8.3478) & 7523.957713 \tabularnewline
0.125 (8) & 558.741506 \tabularnewline
0.1302 (7.68) & 13198.887561 \tabularnewline
0.1354 (7.3846) & 11459.033208 \tabularnewline
0.1406 (7.1111) & 2058.036472 \tabularnewline
0.1458 (6.8571) & 12234.83335 \tabularnewline
0.151 (6.6207) & 15179.670465 \tabularnewline
0.1562 (6.4) & 42367.532867 \tabularnewline
0.1615 (6.1935) & 22664.193923 \tabularnewline
0.1667 (6) & 211.431967 \tabularnewline
0.1719 (5.8182) & 22274.415608 \tabularnewline
0.1771 (5.6471) & 69268.282454 \tabularnewline
0.1823 (5.4857) & 18659.686929 \tabularnewline
0.1875 (5.3333) & 1705.806347 \tabularnewline
0.1927 (5.1892) & 8035.876273 \tabularnewline
0.1979 (5.0526) & 376.50475 \tabularnewline
0.2031 (4.9231) & 7716.284089 \tabularnewline
0.2083 (4.8) & 34934.189538 \tabularnewline
0.2135 (4.6829) & 14635.139738 \tabularnewline
0.2188 (4.5714) & 6231.99025 \tabularnewline
0.224 (4.4651) & 18741.35794 \tabularnewline
0.2292 (4.3636) & 11925.530949 \tabularnewline
0.2344 (4.2667) & 3471.092945 \tabularnewline
0.2396 (4.1739) & 14798.836857 \tabularnewline
0.2448 (4.0851) & 3819.945253 \tabularnewline
0.25 (4) & 205.862732 \tabularnewline
0.2552 (3.9184) & 9024.475507 \tabularnewline
0.2604 (3.84) & 23272.123857 \tabularnewline
0.2656 (3.7647) & 5538.863655 \tabularnewline
0.2708 (3.6923) & 188.94397 \tabularnewline
0.276 (3.6226) & 1811.641601 \tabularnewline
0.2812 (3.5556) & 52.334613 \tabularnewline
0.2865 (3.4909) & 9345.214733 \tabularnewline
0.2917 (3.4286) & 7991.270478 \tabularnewline
0.2969 (3.3684) & 2708.463924 \tabularnewline
0.3021 (3.3103) & 7298.01714 \tabularnewline
0.3073 (3.2542) & 13444.202793 \tabularnewline
0.3125 (3.2) & 5293.625228 \tabularnewline
0.3177 (3.1475) & 4474.897219 \tabularnewline
0.3229 (3.0968) & 7122.324351 \tabularnewline
0.3281 (3.0476) & 29157.815533 \tabularnewline
0.3333 (3) & 460.744428 \tabularnewline
0.3385 (2.9538) & 8194.561164 \tabularnewline
0.3437 (2.9091) & 1185.330133 \tabularnewline
0.349 (2.8657) & 21660.60534 \tabularnewline
0.3542 (2.8235) & 7333.011313 \tabularnewline
0.3594 (2.7826) & 4666.915682 \tabularnewline
0.3646 (2.7429) & 1961.874095 \tabularnewline
0.3698 (2.7042) & 1295.101469 \tabularnewline
0.375 (2.6667) & 3197.993284 \tabularnewline
0.3802 (2.6301) & 5165.768164 \tabularnewline
0.3854 (2.5946) & 35797.841651 \tabularnewline
0.3906 (2.56) & 39054.60678 \tabularnewline
0.3958 (2.5263) & 9107.100267 \tabularnewline
0.401 (2.4935) & 4382.22387 \tabularnewline
0.4062 (2.4615) & 4505.282132 \tabularnewline
0.4115 (2.4304) & 2266.026049 \tabularnewline
0.4167 (2.4) & 38.928597 \tabularnewline
0.4219 (2.3704) & 9008.518546 \tabularnewline
0.4271 (2.3415) & 23825.841455 \tabularnewline
0.4323 (2.3133) & 4164.259446 \tabularnewline
0.4375 (2.2857) & 29974.17059 \tabularnewline
0.4427 (2.2588) & 23521.462491 \tabularnewline
0.4479 (2.2326) & 20077.104124 \tabularnewline
0.4531 (2.2069) & 3508.479081 \tabularnewline
0.4583 (2.1818) & 4835.911834 \tabularnewline
0.4635 (2.1573) & 27826.040688 \tabularnewline
0.4687 (2.1333) & 411.048254 \tabularnewline
0.474 (2.1099) & 8753.301682 \tabularnewline
0.4792 (2.087) & 4460.532188 \tabularnewline
0.4844 (2.0645) & 7515.904619 \tabularnewline
0.4896 (2.0426) & 1092.981393 \tabularnewline
0.4948 (2.0211) & 1688.720976 \tabularnewline
0.5 (2) & 310.112233 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297335&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]0.0052 (192)[/C][C]352370.651523[/C][/ROW]
[ROW][C]0.0104 (96)[/C][C]195053.51676[/C][/ROW]
[ROW][C]0.0156 (64)[/C][C]374145.297884[/C][/ROW]
[ROW][C]0.0208 (48)[/C][C]1224.161188[/C][/ROW]
[ROW][C]0.026 (38.4)[/C][C]1974.647437[/C][/ROW]
[ROW][C]0.0312 (32)[/C][C]18451.12377[/C][/ROW]
[ROW][C]0.0365 (27.4286)[/C][C]5406.015459[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]34780.624375[/C][/ROW]
[ROW][C]0.0469 (21.3333)[/C][C]23578.248969[/C][/ROW]
[ROW][C]0.0521 (19.2)[/C][C]23514.939527[/C][/ROW]
[ROW][C]0.0573 (17.4545)[/C][C]13992.024495[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]55331.520379[/C][/ROW]
[ROW][C]0.0677 (14.7692)[/C][C]22147.025811[/C][/ROW]
[ROW][C]0.0729 (13.7143)[/C][C]110649.052893[/C][/ROW]
[ROW][C]0.0781 (12.8)[/C][C]11070.368985[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]197.603601[/C][/ROW]
[ROW][C]0.0885 (11.2941)[/C][C]2651.212609[/C][/ROW]
[ROW][C]0.0937 (10.6667)[/C][C]58267.84138[/C][/ROW]
[ROW][C]0.099 (10.1053)[/C][C]4219.605926[/C][/ROW]
[ROW][C]0.1042 (9.6)[/C][C]23110.410004[/C][/ROW]
[ROW][C]0.1094 (9.1429)[/C][C]51637.043559[/C][/ROW]
[ROW][C]0.1146 (8.7273)[/C][C]19187.659636[/C][/ROW]
[ROW][C]0.1198 (8.3478)[/C][C]7523.957713[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]558.741506[/C][/ROW]
[ROW][C]0.1302 (7.68)[/C][C]13198.887561[/C][/ROW]
[ROW][C]0.1354 (7.3846)[/C][C]11459.033208[/C][/ROW]
[ROW][C]0.1406 (7.1111)[/C][C]2058.036472[/C][/ROW]
[ROW][C]0.1458 (6.8571)[/C][C]12234.83335[/C][/ROW]
[ROW][C]0.151 (6.6207)[/C][C]15179.670465[/C][/ROW]
[ROW][C]0.1562 (6.4)[/C][C]42367.532867[/C][/ROW]
[ROW][C]0.1615 (6.1935)[/C][C]22664.193923[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]211.431967[/C][/ROW]
[ROW][C]0.1719 (5.8182)[/C][C]22274.415608[/C][/ROW]
[ROW][C]0.1771 (5.6471)[/C][C]69268.282454[/C][/ROW]
[ROW][C]0.1823 (5.4857)[/C][C]18659.686929[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]1705.806347[/C][/ROW]
[ROW][C]0.1927 (5.1892)[/C][C]8035.876273[/C][/ROW]
[ROW][C]0.1979 (5.0526)[/C][C]376.50475[/C][/ROW]
[ROW][C]0.2031 (4.9231)[/C][C]7716.284089[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]34934.189538[/C][/ROW]
[ROW][C]0.2135 (4.6829)[/C][C]14635.139738[/C][/ROW]
[ROW][C]0.2188 (4.5714)[/C][C]6231.99025[/C][/ROW]
[ROW][C]0.224 (4.4651)[/C][C]18741.35794[/C][/ROW]
[ROW][C]0.2292 (4.3636)[/C][C]11925.530949[/C][/ROW]
[ROW][C]0.2344 (4.2667)[/C][C]3471.092945[/C][/ROW]
[ROW][C]0.2396 (4.1739)[/C][C]14798.836857[/C][/ROW]
[ROW][C]0.2448 (4.0851)[/C][C]3819.945253[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]205.862732[/C][/ROW]
[ROW][C]0.2552 (3.9184)[/C][C]9024.475507[/C][/ROW]
[ROW][C]0.2604 (3.84)[/C][C]23272.123857[/C][/ROW]
[ROW][C]0.2656 (3.7647)[/C][C]5538.863655[/C][/ROW]
[ROW][C]0.2708 (3.6923)[/C][C]188.94397[/C][/ROW]
[ROW][C]0.276 (3.6226)[/C][C]1811.641601[/C][/ROW]
[ROW][C]0.2812 (3.5556)[/C][C]52.334613[/C][/ROW]
[ROW][C]0.2865 (3.4909)[/C][C]9345.214733[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]7991.270478[/C][/ROW]
[ROW][C]0.2969 (3.3684)[/C][C]2708.463924[/C][/ROW]
[ROW][C]0.3021 (3.3103)[/C][C]7298.01714[/C][/ROW]
[ROW][C]0.3073 (3.2542)[/C][C]13444.202793[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]5293.625228[/C][/ROW]
[ROW][C]0.3177 (3.1475)[/C][C]4474.897219[/C][/ROW]
[ROW][C]0.3229 (3.0968)[/C][C]7122.324351[/C][/ROW]
[ROW][C]0.3281 (3.0476)[/C][C]29157.815533[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]460.744428[/C][/ROW]
[ROW][C]0.3385 (2.9538)[/C][C]8194.561164[/C][/ROW]
[ROW][C]0.3437 (2.9091)[/C][C]1185.330133[/C][/ROW]
[ROW][C]0.349 (2.8657)[/C][C]21660.60534[/C][/ROW]
[ROW][C]0.3542 (2.8235)[/C][C]7333.011313[/C][/ROW]
[ROW][C]0.3594 (2.7826)[/C][C]4666.915682[/C][/ROW]
[ROW][C]0.3646 (2.7429)[/C][C]1961.874095[/C][/ROW]
[ROW][C]0.3698 (2.7042)[/C][C]1295.101469[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]3197.993284[/C][/ROW]
[ROW][C]0.3802 (2.6301)[/C][C]5165.768164[/C][/ROW]
[ROW][C]0.3854 (2.5946)[/C][C]35797.841651[/C][/ROW]
[ROW][C]0.3906 (2.56)[/C][C]39054.60678[/C][/ROW]
[ROW][C]0.3958 (2.5263)[/C][C]9107.100267[/C][/ROW]
[ROW][C]0.401 (2.4935)[/C][C]4382.22387[/C][/ROW]
[ROW][C]0.4062 (2.4615)[/C][C]4505.282132[/C][/ROW]
[ROW][C]0.4115 (2.4304)[/C][C]2266.026049[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]38.928597[/C][/ROW]
[ROW][C]0.4219 (2.3704)[/C][C]9008.518546[/C][/ROW]
[ROW][C]0.4271 (2.3415)[/C][C]23825.841455[/C][/ROW]
[ROW][C]0.4323 (2.3133)[/C][C]4164.259446[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]29974.17059[/C][/ROW]
[ROW][C]0.4427 (2.2588)[/C][C]23521.462491[/C][/ROW]
[ROW][C]0.4479 (2.2326)[/C][C]20077.104124[/C][/ROW]
[ROW][C]0.4531 (2.2069)[/C][C]3508.479081[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]4835.911834[/C][/ROW]
[ROW][C]0.4635 (2.1573)[/C][C]27826.040688[/C][/ROW]
[ROW][C]0.4687 (2.1333)[/C][C]411.048254[/C][/ROW]
[ROW][C]0.474 (2.1099)[/C][C]8753.301682[/C][/ROW]
[ROW][C]0.4792 (2.087)[/C][C]4460.532188[/C][/ROW]
[ROW][C]0.4844 (2.0645)[/C][C]7515.904619[/C][/ROW]
[ROW][C]0.4896 (2.0426)[/C][C]1092.981393[/C][/ROW]
[ROW][C]0.4948 (2.0211)[/C][C]1688.720976[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]310.112233[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297335&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297335&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)0
Degree of seasonal differencing (D)0
Seasonal Period (s)1
Frequency (Period)Spectrum
0.0052 (192)352370.651523
0.0104 (96)195053.51676
0.0156 (64)374145.297884
0.0208 (48)1224.161188
0.026 (38.4)1974.647437
0.0312 (32)18451.12377
0.0365 (27.4286)5406.015459
0.0417 (24)34780.624375
0.0469 (21.3333)23578.248969
0.0521 (19.2)23514.939527
0.0573 (17.4545)13992.024495
0.0625 (16)55331.520379
0.0677 (14.7692)22147.025811
0.0729 (13.7143)110649.052893
0.0781 (12.8)11070.368985
0.0833 (12)197.603601
0.0885 (11.2941)2651.212609
0.0937 (10.6667)58267.84138
0.099 (10.1053)4219.605926
0.1042 (9.6)23110.410004
0.1094 (9.1429)51637.043559
0.1146 (8.7273)19187.659636
0.1198 (8.3478)7523.957713
0.125 (8)558.741506
0.1302 (7.68)13198.887561
0.1354 (7.3846)11459.033208
0.1406 (7.1111)2058.036472
0.1458 (6.8571)12234.83335
0.151 (6.6207)15179.670465
0.1562 (6.4)42367.532867
0.1615 (6.1935)22664.193923
0.1667 (6)211.431967
0.1719 (5.8182)22274.415608
0.1771 (5.6471)69268.282454
0.1823 (5.4857)18659.686929
0.1875 (5.3333)1705.806347
0.1927 (5.1892)8035.876273
0.1979 (5.0526)376.50475
0.2031 (4.9231)7716.284089
0.2083 (4.8)34934.189538
0.2135 (4.6829)14635.139738
0.2188 (4.5714)6231.99025
0.224 (4.4651)18741.35794
0.2292 (4.3636)11925.530949
0.2344 (4.2667)3471.092945
0.2396 (4.1739)14798.836857
0.2448 (4.0851)3819.945253
0.25 (4)205.862732
0.2552 (3.9184)9024.475507
0.2604 (3.84)23272.123857
0.2656 (3.7647)5538.863655
0.2708 (3.6923)188.94397
0.276 (3.6226)1811.641601
0.2812 (3.5556)52.334613
0.2865 (3.4909)9345.214733
0.2917 (3.4286)7991.270478
0.2969 (3.3684)2708.463924
0.3021 (3.3103)7298.01714
0.3073 (3.2542)13444.202793
0.3125 (3.2)5293.625228
0.3177 (3.1475)4474.897219
0.3229 (3.0968)7122.324351
0.3281 (3.0476)29157.815533
0.3333 (3)460.744428
0.3385 (2.9538)8194.561164
0.3437 (2.9091)1185.330133
0.349 (2.8657)21660.60534
0.3542 (2.8235)7333.011313
0.3594 (2.7826)4666.915682
0.3646 (2.7429)1961.874095
0.3698 (2.7042)1295.101469
0.375 (2.6667)3197.993284
0.3802 (2.6301)5165.768164
0.3854 (2.5946)35797.841651
0.3906 (2.56)39054.60678
0.3958 (2.5263)9107.100267
0.401 (2.4935)4382.22387
0.4062 (2.4615)4505.282132
0.4115 (2.4304)2266.026049
0.4167 (2.4)38.928597
0.4219 (2.3704)9008.518546
0.4271 (2.3415)23825.841455
0.4323 (2.3133)4164.259446
0.4375 (2.2857)29974.17059
0.4427 (2.2588)23521.462491
0.4479 (2.2326)20077.104124
0.4531 (2.2069)3508.479081
0.4583 (2.1818)4835.911834
0.4635 (2.1573)27826.040688
0.4687 (2.1333)411.048254
0.474 (2.1099)8753.301682
0.4792 (2.087)4460.532188
0.4844 (2.0645)7515.904619
0.4896 (2.0426)1092.981393
0.4948 (2.0211)1688.720976
0.5 (2)310.112233



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')