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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 computationWed, 17 Dec 2014 13:57:33 +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/2014/Dec/17/t1418824716ph8l5kh5lwfxsvh.htm/, Retrieved Thu, 16 May 2024 06:22:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270275, Retrieved Thu, 16 May 2024 06:22:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

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] [] [2008-12-08 19:22:39] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMP   [Spectral Analysis] [] [2011-12-06 19:47:14] [b98453cac15ba1066b407e146608df68]
- RM      [Spectral Analysis] [] [2014-11-26 14:22:15] [bcf5edf18529a33bd1494456d2c6cb9a]
- R  D        [Spectral Analysis] [] [2014-12-17 13:57:33] [6fc1b517ba5ef695988bbc0a377c4b82] [Current]
Feedback Forum

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12,90
7,40
12,20
12,80
7,40
6,70
12,60
14,80
13,30
11,10
8,20
11,40
6,40
10,60
12,00
6,30
11,30
11,90
9,30
9,60
10,00
6,40
13,80
10,80
13,80
11,70
10,90
16,10
13,40
9,90
11,50
8,30
11,70
6,10
9,00
9,70
10,80
10,30
10,40
12,70
9,30
11,80
5,90
11,40
13,00
10,80
12,30
11,30
11,80
7,90
12,70
12,30
11,60
6,70
10,90
12,10
13,30
10,10
5,70
14,30
8,00
13,30
9,30
12,50
7,60
15,90
9,20
9,10
11,10
13,00
14,50
12,20
12,30
11,40
8,80
14,60
7,30
12,60
13,00
12,60
13,20
9,90
7,70
10,50
13,40
10,90
4,30
10,30
11,80
11,20
11,40
8,60
13,20
12,60
5,60
9,90
8,80
7,70
9,00
7,30
11,40
13,60
7,90
10,70
10,30
8,30
9,60
14,20
8,50
13,50
4,90
6,40
9,60
11,60
11,10
4,35
12,70
18,10
17,85
16,60
12,60
17,10
19,10
16,10
13,35
18,40
14,70
10,60
12,60
16,20
13,60
18,90
14,10
14,50
16,15
14,75
14,80
12,45
12,65
17,35
8,60
18,40
16,10
11,60
17,75
15,25
17,65
15,60
16,35
17,65
13,60
11,70
14,35
14,75
18,25
9,90
16,00
18,25
16,85
14,60
13,85
18,95
15,60
14,85
11,75
18,45
15,90
17,10
16,10
19,90
10,95
18,45
15,10
15,00
11,35
15,95
18,10
14,60
15,40
15,40
17,60
13,35
19,10
15,35
7,60
13,40
13,90
19,10
15,25
12,90
16,10
17,35
13,15
12,15
12,60
10,35
15,40
9,60
18,20
13,60
14,85
14,75
14,10
14,90
16,25
19,25
13,60
13,60
15,65
12,75
14,60
9,85
12,65
11,90
19,20
16,60
11,20
15,25
11,90
13,20
16,35
12,40
15,85
14,35
18,15
11,15
15,65
17,75
7,65
12,35
15,60
19,30
15,20
17,10
15,60
18,40
19,05
18,55
19,10
13,10
12,85
9,50
4,50
11,85
13,60
11,70
12,40
13,35
11,40
14,90
19,90
17,75
11,20
14,60
17,60
14,05
16,10
13,35
11,85
11,95
14,75
15,15
13,20
16,85
7,85
7,70
12,60
7,85
10,95
12,35
9,95
14,90
16,65
13,40
13,95
15,70
16,85
10,95
15,35
12,20
15,10
17,75
15,20
14,60
16,65
8,10

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'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270275&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270275&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270275&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'Gertrude Mary Cox' @ cox.wessa.net






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)12
Frequency (Period)Spectrum
0.0035 (288)113.37564
0.0069 (144)95.727549
0.0104 (96)30.653136
0.0139 (72)22.053173
0.0174 (57.6)28.268058
0.0208 (48)15.080075
0.0243 (41.1429)11.669044
0.0278 (36)2.659769
0.0312 (32)3.492075
0.0347 (28.8)4.663935
0.0382 (26.1818)37.137048
0.0417 (24)1.935607
0.0451 (22.1538)26.564524
0.0486 (20.5714)8.401166
0.0521 (19.2)29.217986
0.0556 (18)4.083159
0.059 (16.9412)8.146927
0.0625 (16)21.048641
0.066 (15.1579)9.847399
0.0694 (14.4)22.635429
0.0729 (13.7143)6.435813
0.0764 (13.0909)25.276722
0.0799 (12.5217)0.41451
0.0833 (12)13.063331
0.0868 (11.52)18.893372
0.0903 (11.0769)14.716532
0.0938 (10.6667)3.479258
0.0972 (10.2857)3.302574
0.1007 (9.931)2.899573
0.1042 (9.6)6.801218
0.1076 (9.2903)1.139638
0.1111 (9)10.835564
0.1146 (8.7273)0.956909
0.1181 (8.4706)1.22084
0.1215 (8.2286)5.402848
0.125 (8)14.882741
0.1285 (7.7838)1.430124
0.1319 (7.5789)9.19683
0.1354 (7.3846)0.041242
0.1389 (7.2)1.358263
0.1424 (7.0244)0.941041
0.1458 (6.8571)4.15835
0.1493 (6.6977)1.108876
0.1528 (6.5455)0.03629
0.1562 (6.4)5.139274
0.1597 (6.2609)8.649226
0.1632 (6.1277)1.348388
0.1667 (6)11.953746
0.1701 (5.8776)3.651303
0.1736 (5.76)17.733425
0.1771 (5.6471)23.953561
0.1806 (5.5385)3.049826
0.184 (5.434)1.059939
0.1875 (5.3333)9.207044
0.191 (5.2364)4.07805
0.1944 (5.1429)4.834069
0.1979 (5.0526)0.144316
0.2014 (4.9655)3.032172
0.2049 (4.8814)17.114794
0.2083 (4.8)10.02832
0.2118 (4.7213)10.415583
0.2153 (4.6452)22.750528
0.2187 (4.5714)6.790198
0.2222 (4.5)3.910927
0.2257 (4.4308)3.553765
0.2292 (4.3636)23.932134
0.2326 (4.2985)6.650591
0.2361 (4.2353)0.453064
0.2396 (4.1739)3.727913
0.2431 (4.1143)14.31229
0.2465 (4.0563)39.061956
0.25 (4)0.007356
0.2535 (3.9452)1.179849
0.2569 (3.8919)7.946198
0.2604 (3.84)2.259149
0.2639 (3.7895)11.027267
0.2674 (3.7403)4.41331
0.2708 (3.6923)11.370234
0.2743 (3.6456)12.415355
0.2778 (3.6)5.021974
0.2812 (3.5556)1.89933
0.2847 (3.5122)0.759829
0.2882 (3.4699)0.921992
0.2917 (3.4286)6.668172
0.2951 (3.3882)9.984799
0.2986 (3.3488)0.745051
0.3021 (3.3103)5.210924
0.3056 (3.2727)13.126504
0.309 (3.236)11.526876
0.3125 (3.2)10.916861
0.316 (3.1648)10.213322
0.3194 (3.1304)9.926091
0.3229 (3.0968)0.357587
0.3264 (3.0638)1.321994
0.3299 (3.0316)18.110288
0.3333 (3)5.497734
0.3368 (2.9691)2.046321
0.3403 (2.9388)2.169586
0.3437 (2.9091)4.404796
0.3472 (2.88)3.069283
0.3507 (2.8515)0.831301
0.3542 (2.8235)0.766596
0.3576 (2.7961)10.323162
0.3611 (2.7692)2.009861
0.3646 (2.7429)9.140316
0.3681 (2.717)20.711502
0.3715 (2.6916)3.305345
0.375 (2.6667)4.799064
0.3785 (2.6422)7.807349
0.3819 (2.6182)6.748596
0.3854 (2.5946)9.289562
0.3889 (2.5714)4.496565
0.3924 (2.5487)18.669788
0.3958 (2.5263)2.285487
0.3993 (2.5043)0.706021
0.4028 (2.4828)7.981612
0.4062 (2.4615)6.004098
0.4097 (2.4407)36.981324
0.4132 (2.4202)0.053492
0.4167 (2.4)8.929565
0.4201 (2.3802)2.792419
0.4236 (2.3607)1.975607
0.4271 (2.3415)11.696461
0.4306 (2.3226)8.63014
0.434 (2.304)5.924795
0.4375 (2.2857)26.947266
0.441 (2.2677)3.683983
0.4444 (2.25)5.548757
0.4479 (2.2326)0.716149
0.4514 (2.2154)22.074586
0.4549 (2.1985)5.933031
0.4583 (2.1818)7.159179
0.4618 (2.1654)5.99678
0.4653 (2.1493)0.024992
0.4687 (2.1333)14.42533
0.4722 (2.1176)5.455476
0.4757 (2.1022)0.690782
0.4792 (2.087)2.037475
0.4826 (2.0719)14.742528
0.4861 (2.0571)0.172667
0.4896 (2.0426)9.261123
0.4931 (2.0282)2.249201
0.4965 (2.014)10.317136
0.5 (2)7.494936

\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) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0035 (288) & 113.37564 \tabularnewline
0.0069 (144) & 95.727549 \tabularnewline
0.0104 (96) & 30.653136 \tabularnewline
0.0139 (72) & 22.053173 \tabularnewline
0.0174 (57.6) & 28.268058 \tabularnewline
0.0208 (48) & 15.080075 \tabularnewline
0.0243 (41.1429) & 11.669044 \tabularnewline
0.0278 (36) & 2.659769 \tabularnewline
0.0312 (32) & 3.492075 \tabularnewline
0.0347 (28.8) & 4.663935 \tabularnewline
0.0382 (26.1818) & 37.137048 \tabularnewline
0.0417 (24) & 1.935607 \tabularnewline
0.0451 (22.1538) & 26.564524 \tabularnewline
0.0486 (20.5714) & 8.401166 \tabularnewline
0.0521 (19.2) & 29.217986 \tabularnewline
0.0556 (18) & 4.083159 \tabularnewline
0.059 (16.9412) & 8.146927 \tabularnewline
0.0625 (16) & 21.048641 \tabularnewline
0.066 (15.1579) & 9.847399 \tabularnewline
0.0694 (14.4) & 22.635429 \tabularnewline
0.0729 (13.7143) & 6.435813 \tabularnewline
0.0764 (13.0909) & 25.276722 \tabularnewline
0.0799 (12.5217) & 0.41451 \tabularnewline
0.0833 (12) & 13.063331 \tabularnewline
0.0868 (11.52) & 18.893372 \tabularnewline
0.0903 (11.0769) & 14.716532 \tabularnewline
0.0938 (10.6667) & 3.479258 \tabularnewline
0.0972 (10.2857) & 3.302574 \tabularnewline
0.1007 (9.931) & 2.899573 \tabularnewline
0.1042 (9.6) & 6.801218 \tabularnewline
0.1076 (9.2903) & 1.139638 \tabularnewline
0.1111 (9) & 10.835564 \tabularnewline
0.1146 (8.7273) & 0.956909 \tabularnewline
0.1181 (8.4706) & 1.22084 \tabularnewline
0.1215 (8.2286) & 5.402848 \tabularnewline
0.125 (8) & 14.882741 \tabularnewline
0.1285 (7.7838) & 1.430124 \tabularnewline
0.1319 (7.5789) & 9.19683 \tabularnewline
0.1354 (7.3846) & 0.041242 \tabularnewline
0.1389 (7.2) & 1.358263 \tabularnewline
0.1424 (7.0244) & 0.941041 \tabularnewline
0.1458 (6.8571) & 4.15835 \tabularnewline
0.1493 (6.6977) & 1.108876 \tabularnewline
0.1528 (6.5455) & 0.03629 \tabularnewline
0.1562 (6.4) & 5.139274 \tabularnewline
0.1597 (6.2609) & 8.649226 \tabularnewline
0.1632 (6.1277) & 1.348388 \tabularnewline
0.1667 (6) & 11.953746 \tabularnewline
0.1701 (5.8776) & 3.651303 \tabularnewline
0.1736 (5.76) & 17.733425 \tabularnewline
0.1771 (5.6471) & 23.953561 \tabularnewline
0.1806 (5.5385) & 3.049826 \tabularnewline
0.184 (5.434) & 1.059939 \tabularnewline
0.1875 (5.3333) & 9.207044 \tabularnewline
0.191 (5.2364) & 4.07805 \tabularnewline
0.1944 (5.1429) & 4.834069 \tabularnewline
0.1979 (5.0526) & 0.144316 \tabularnewline
0.2014 (4.9655) & 3.032172 \tabularnewline
0.2049 (4.8814) & 17.114794 \tabularnewline
0.2083 (4.8) & 10.02832 \tabularnewline
0.2118 (4.7213) & 10.415583 \tabularnewline
0.2153 (4.6452) & 22.750528 \tabularnewline
0.2187 (4.5714) & 6.790198 \tabularnewline
0.2222 (4.5) & 3.910927 \tabularnewline
0.2257 (4.4308) & 3.553765 \tabularnewline
0.2292 (4.3636) & 23.932134 \tabularnewline
0.2326 (4.2985) & 6.650591 \tabularnewline
0.2361 (4.2353) & 0.453064 \tabularnewline
0.2396 (4.1739) & 3.727913 \tabularnewline
0.2431 (4.1143) & 14.31229 \tabularnewline
0.2465 (4.0563) & 39.061956 \tabularnewline
0.25 (4) & 0.007356 \tabularnewline
0.2535 (3.9452) & 1.179849 \tabularnewline
0.2569 (3.8919) & 7.946198 \tabularnewline
0.2604 (3.84) & 2.259149 \tabularnewline
0.2639 (3.7895) & 11.027267 \tabularnewline
0.2674 (3.7403) & 4.41331 \tabularnewline
0.2708 (3.6923) & 11.370234 \tabularnewline
0.2743 (3.6456) & 12.415355 \tabularnewline
0.2778 (3.6) & 5.021974 \tabularnewline
0.2812 (3.5556) & 1.89933 \tabularnewline
0.2847 (3.5122) & 0.759829 \tabularnewline
0.2882 (3.4699) & 0.921992 \tabularnewline
0.2917 (3.4286) & 6.668172 \tabularnewline
0.2951 (3.3882) & 9.984799 \tabularnewline
0.2986 (3.3488) & 0.745051 \tabularnewline
0.3021 (3.3103) & 5.210924 \tabularnewline
0.3056 (3.2727) & 13.126504 \tabularnewline
0.309 (3.236) & 11.526876 \tabularnewline
0.3125 (3.2) & 10.916861 \tabularnewline
0.316 (3.1648) & 10.213322 \tabularnewline
0.3194 (3.1304) & 9.926091 \tabularnewline
0.3229 (3.0968) & 0.357587 \tabularnewline
0.3264 (3.0638) & 1.321994 \tabularnewline
0.3299 (3.0316) & 18.110288 \tabularnewline
0.3333 (3) & 5.497734 \tabularnewline
0.3368 (2.9691) & 2.046321 \tabularnewline
0.3403 (2.9388) & 2.169586 \tabularnewline
0.3437 (2.9091) & 4.404796 \tabularnewline
0.3472 (2.88) & 3.069283 \tabularnewline
0.3507 (2.8515) & 0.831301 \tabularnewline
0.3542 (2.8235) & 0.766596 \tabularnewline
0.3576 (2.7961) & 10.323162 \tabularnewline
0.3611 (2.7692) & 2.009861 \tabularnewline
0.3646 (2.7429) & 9.140316 \tabularnewline
0.3681 (2.717) & 20.711502 \tabularnewline
0.3715 (2.6916) & 3.305345 \tabularnewline
0.375 (2.6667) & 4.799064 \tabularnewline
0.3785 (2.6422) & 7.807349 \tabularnewline
0.3819 (2.6182) & 6.748596 \tabularnewline
0.3854 (2.5946) & 9.289562 \tabularnewline
0.3889 (2.5714) & 4.496565 \tabularnewline
0.3924 (2.5487) & 18.669788 \tabularnewline
0.3958 (2.5263) & 2.285487 \tabularnewline
0.3993 (2.5043) & 0.706021 \tabularnewline
0.4028 (2.4828) & 7.981612 \tabularnewline
0.4062 (2.4615) & 6.004098 \tabularnewline
0.4097 (2.4407) & 36.981324 \tabularnewline
0.4132 (2.4202) & 0.053492 \tabularnewline
0.4167 (2.4) & 8.929565 \tabularnewline
0.4201 (2.3802) & 2.792419 \tabularnewline
0.4236 (2.3607) & 1.975607 \tabularnewline
0.4271 (2.3415) & 11.696461 \tabularnewline
0.4306 (2.3226) & 8.63014 \tabularnewline
0.434 (2.304) & 5.924795 \tabularnewline
0.4375 (2.2857) & 26.947266 \tabularnewline
0.441 (2.2677) & 3.683983 \tabularnewline
0.4444 (2.25) & 5.548757 \tabularnewline
0.4479 (2.2326) & 0.716149 \tabularnewline
0.4514 (2.2154) & 22.074586 \tabularnewline
0.4549 (2.1985) & 5.933031 \tabularnewline
0.4583 (2.1818) & 7.159179 \tabularnewline
0.4618 (2.1654) & 5.99678 \tabularnewline
0.4653 (2.1493) & 0.024992 \tabularnewline
0.4687 (2.1333) & 14.42533 \tabularnewline
0.4722 (2.1176) & 5.455476 \tabularnewline
0.4757 (2.1022) & 0.690782 \tabularnewline
0.4792 (2.087) & 2.037475 \tabularnewline
0.4826 (2.0719) & 14.742528 \tabularnewline
0.4861 (2.0571) & 0.172667 \tabularnewline
0.4896 (2.0426) & 9.261123 \tabularnewline
0.4931 (2.0282) & 2.249201 \tabularnewline
0.4965 (2.014) & 10.317136 \tabularnewline
0.5 (2) & 7.494936 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270275&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]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0035 (288)[/C][C]113.37564[/C][/ROW]
[ROW][C]0.0069 (144)[/C][C]95.727549[/C][/ROW]
[ROW][C]0.0104 (96)[/C][C]30.653136[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]22.053173[/C][/ROW]
[ROW][C]0.0174 (57.6)[/C][C]28.268058[/C][/ROW]
[ROW][C]0.0208 (48)[/C][C]15.080075[/C][/ROW]
[ROW][C]0.0243 (41.1429)[/C][C]11.669044[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]2.659769[/C][/ROW]
[ROW][C]0.0312 (32)[/C][C]3.492075[/C][/ROW]
[ROW][C]0.0347 (28.8)[/C][C]4.663935[/C][/ROW]
[ROW][C]0.0382 (26.1818)[/C][C]37.137048[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]1.935607[/C][/ROW]
[ROW][C]0.0451 (22.1538)[/C][C]26.564524[/C][/ROW]
[ROW][C]0.0486 (20.5714)[/C][C]8.401166[/C][/ROW]
[ROW][C]0.0521 (19.2)[/C][C]29.217986[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]4.083159[/C][/ROW]
[ROW][C]0.059 (16.9412)[/C][C]8.146927[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]21.048641[/C][/ROW]
[ROW][C]0.066 (15.1579)[/C][C]9.847399[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]22.635429[/C][/ROW]
[ROW][C]0.0729 (13.7143)[/C][C]6.435813[/C][/ROW]
[ROW][C]0.0764 (13.0909)[/C][C]25.276722[/C][/ROW]
[ROW][C]0.0799 (12.5217)[/C][C]0.41451[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]13.063331[/C][/ROW]
[ROW][C]0.0868 (11.52)[/C][C]18.893372[/C][/ROW]
[ROW][C]0.0903 (11.0769)[/C][C]14.716532[/C][/ROW]
[ROW][C]0.0938 (10.6667)[/C][C]3.479258[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]3.302574[/C][/ROW]
[ROW][C]0.1007 (9.931)[/C][C]2.899573[/C][/ROW]
[ROW][C]0.1042 (9.6)[/C][C]6.801218[/C][/ROW]
[ROW][C]0.1076 (9.2903)[/C][C]1.139638[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]10.835564[/C][/ROW]
[ROW][C]0.1146 (8.7273)[/C][C]0.956909[/C][/ROW]
[ROW][C]0.1181 (8.4706)[/C][C]1.22084[/C][/ROW]
[ROW][C]0.1215 (8.2286)[/C][C]5.402848[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]14.882741[/C][/ROW]
[ROW][C]0.1285 (7.7838)[/C][C]1.430124[/C][/ROW]
[ROW][C]0.1319 (7.5789)[/C][C]9.19683[/C][/ROW]
[ROW][C]0.1354 (7.3846)[/C][C]0.041242[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]1.358263[/C][/ROW]
[ROW][C]0.1424 (7.0244)[/C][C]0.941041[/C][/ROW]
[ROW][C]0.1458 (6.8571)[/C][C]4.15835[/C][/ROW]
[ROW][C]0.1493 (6.6977)[/C][C]1.108876[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]0.03629[/C][/ROW]
[ROW][C]0.1562 (6.4)[/C][C]5.139274[/C][/ROW]
[ROW][C]0.1597 (6.2609)[/C][C]8.649226[/C][/ROW]
[ROW][C]0.1632 (6.1277)[/C][C]1.348388[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]11.953746[/C][/ROW]
[ROW][C]0.1701 (5.8776)[/C][C]3.651303[/C][/ROW]
[ROW][C]0.1736 (5.76)[/C][C]17.733425[/C][/ROW]
[ROW][C]0.1771 (5.6471)[/C][C]23.953561[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]3.049826[/C][/ROW]
[ROW][C]0.184 (5.434)[/C][C]1.059939[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]9.207044[/C][/ROW]
[ROW][C]0.191 (5.2364)[/C][C]4.07805[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]4.834069[/C][/ROW]
[ROW][C]0.1979 (5.0526)[/C][C]0.144316[/C][/ROW]
[ROW][C]0.2014 (4.9655)[/C][C]3.032172[/C][/ROW]
[ROW][C]0.2049 (4.8814)[/C][C]17.114794[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]10.02832[/C][/ROW]
[ROW][C]0.2118 (4.7213)[/C][C]10.415583[/C][/ROW]
[ROW][C]0.2153 (4.6452)[/C][C]22.750528[/C][/ROW]
[ROW][C]0.2187 (4.5714)[/C][C]6.790198[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]3.910927[/C][/ROW]
[ROW][C]0.2257 (4.4308)[/C][C]3.553765[/C][/ROW]
[ROW][C]0.2292 (4.3636)[/C][C]23.932134[/C][/ROW]
[ROW][C]0.2326 (4.2985)[/C][C]6.650591[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]0.453064[/C][/ROW]
[ROW][C]0.2396 (4.1739)[/C][C]3.727913[/C][/ROW]
[ROW][C]0.2431 (4.1143)[/C][C]14.31229[/C][/ROW]
[ROW][C]0.2465 (4.0563)[/C][C]39.061956[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.007356[/C][/ROW]
[ROW][C]0.2535 (3.9452)[/C][C]1.179849[/C][/ROW]
[ROW][C]0.2569 (3.8919)[/C][C]7.946198[/C][/ROW]
[ROW][C]0.2604 (3.84)[/C][C]2.259149[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]11.027267[/C][/ROW]
[ROW][C]0.2674 (3.7403)[/C][C]4.41331[/C][/ROW]
[ROW][C]0.2708 (3.6923)[/C][C]11.370234[/C][/ROW]
[ROW][C]0.2743 (3.6456)[/C][C]12.415355[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]5.021974[/C][/ROW]
[ROW][C]0.2812 (3.5556)[/C][C]1.89933[/C][/ROW]
[ROW][C]0.2847 (3.5122)[/C][C]0.759829[/C][/ROW]
[ROW][C]0.2882 (3.4699)[/C][C]0.921992[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]6.668172[/C][/ROW]
[ROW][C]0.2951 (3.3882)[/C][C]9.984799[/C][/ROW]
[ROW][C]0.2986 (3.3488)[/C][C]0.745051[/C][/ROW]
[ROW][C]0.3021 (3.3103)[/C][C]5.210924[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]13.126504[/C][/ROW]
[ROW][C]0.309 (3.236)[/C][C]11.526876[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]10.916861[/C][/ROW]
[ROW][C]0.316 (3.1648)[/C][C]10.213322[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]9.926091[/C][/ROW]
[ROW][C]0.3229 (3.0968)[/C][C]0.357587[/C][/ROW]
[ROW][C]0.3264 (3.0638)[/C][C]1.321994[/C][/ROW]
[ROW][C]0.3299 (3.0316)[/C][C]18.110288[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]5.497734[/C][/ROW]
[ROW][C]0.3368 (2.9691)[/C][C]2.046321[/C][/ROW]
[ROW][C]0.3403 (2.9388)[/C][C]2.169586[/C][/ROW]
[ROW][C]0.3437 (2.9091)[/C][C]4.404796[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]3.069283[/C][/ROW]
[ROW][C]0.3507 (2.8515)[/C][C]0.831301[/C][/ROW]
[ROW][C]0.3542 (2.8235)[/C][C]0.766596[/C][/ROW]
[ROW][C]0.3576 (2.7961)[/C][C]10.323162[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]2.009861[/C][/ROW]
[ROW][C]0.3646 (2.7429)[/C][C]9.140316[/C][/ROW]
[ROW][C]0.3681 (2.717)[/C][C]20.711502[/C][/ROW]
[ROW][C]0.3715 (2.6916)[/C][C]3.305345[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]4.799064[/C][/ROW]
[ROW][C]0.3785 (2.6422)[/C][C]7.807349[/C][/ROW]
[ROW][C]0.3819 (2.6182)[/C][C]6.748596[/C][/ROW]
[ROW][C]0.3854 (2.5946)[/C][C]9.289562[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]4.496565[/C][/ROW]
[ROW][C]0.3924 (2.5487)[/C][C]18.669788[/C][/ROW]
[ROW][C]0.3958 (2.5263)[/C][C]2.285487[/C][/ROW]
[ROW][C]0.3993 (2.5043)[/C][C]0.706021[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]7.981612[/C][/ROW]
[ROW][C]0.4062 (2.4615)[/C][C]6.004098[/C][/ROW]
[ROW][C]0.4097 (2.4407)[/C][C]36.981324[/C][/ROW]
[ROW][C]0.4132 (2.4202)[/C][C]0.053492[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]8.929565[/C][/ROW]
[ROW][C]0.4201 (2.3802)[/C][C]2.792419[/C][/ROW]
[ROW][C]0.4236 (2.3607)[/C][C]1.975607[/C][/ROW]
[ROW][C]0.4271 (2.3415)[/C][C]11.696461[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]8.63014[/C][/ROW]
[ROW][C]0.434 (2.304)[/C][C]5.924795[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]26.947266[/C][/ROW]
[ROW][C]0.441 (2.2677)[/C][C]3.683983[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]5.548757[/C][/ROW]
[ROW][C]0.4479 (2.2326)[/C][C]0.716149[/C][/ROW]
[ROW][C]0.4514 (2.2154)[/C][C]22.074586[/C][/ROW]
[ROW][C]0.4549 (2.1985)[/C][C]5.933031[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]7.159179[/C][/ROW]
[ROW][C]0.4618 (2.1654)[/C][C]5.99678[/C][/ROW]
[ROW][C]0.4653 (2.1493)[/C][C]0.024992[/C][/ROW]
[ROW][C]0.4687 (2.1333)[/C][C]14.42533[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]5.455476[/C][/ROW]
[ROW][C]0.4757 (2.1022)[/C][C]0.690782[/C][/ROW]
[ROW][C]0.4792 (2.087)[/C][C]2.037475[/C][/ROW]
[ROW][C]0.4826 (2.0719)[/C][C]14.742528[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]0.172667[/C][/ROW]
[ROW][C]0.4896 (2.0426)[/C][C]9.261123[/C][/ROW]
[ROW][C]0.4931 (2.0282)[/C][C]2.249201[/C][/ROW]
[ROW][C]0.4965 (2.014)[/C][C]10.317136[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]7.494936[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270275&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270275&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)12
Frequency (Period)Spectrum
0.0035 (288)113.37564
0.0069 (144)95.727549
0.0104 (96)30.653136
0.0139 (72)22.053173
0.0174 (57.6)28.268058
0.0208 (48)15.080075
0.0243 (41.1429)11.669044
0.0278 (36)2.659769
0.0312 (32)3.492075
0.0347 (28.8)4.663935
0.0382 (26.1818)37.137048
0.0417 (24)1.935607
0.0451 (22.1538)26.564524
0.0486 (20.5714)8.401166
0.0521 (19.2)29.217986
0.0556 (18)4.083159
0.059 (16.9412)8.146927
0.0625 (16)21.048641
0.066 (15.1579)9.847399
0.0694 (14.4)22.635429
0.0729 (13.7143)6.435813
0.0764 (13.0909)25.276722
0.0799 (12.5217)0.41451
0.0833 (12)13.063331
0.0868 (11.52)18.893372
0.0903 (11.0769)14.716532
0.0938 (10.6667)3.479258
0.0972 (10.2857)3.302574
0.1007 (9.931)2.899573
0.1042 (9.6)6.801218
0.1076 (9.2903)1.139638
0.1111 (9)10.835564
0.1146 (8.7273)0.956909
0.1181 (8.4706)1.22084
0.1215 (8.2286)5.402848
0.125 (8)14.882741
0.1285 (7.7838)1.430124
0.1319 (7.5789)9.19683
0.1354 (7.3846)0.041242
0.1389 (7.2)1.358263
0.1424 (7.0244)0.941041
0.1458 (6.8571)4.15835
0.1493 (6.6977)1.108876
0.1528 (6.5455)0.03629
0.1562 (6.4)5.139274
0.1597 (6.2609)8.649226
0.1632 (6.1277)1.348388
0.1667 (6)11.953746
0.1701 (5.8776)3.651303
0.1736 (5.76)17.733425
0.1771 (5.6471)23.953561
0.1806 (5.5385)3.049826
0.184 (5.434)1.059939
0.1875 (5.3333)9.207044
0.191 (5.2364)4.07805
0.1944 (5.1429)4.834069
0.1979 (5.0526)0.144316
0.2014 (4.9655)3.032172
0.2049 (4.8814)17.114794
0.2083 (4.8)10.02832
0.2118 (4.7213)10.415583
0.2153 (4.6452)22.750528
0.2187 (4.5714)6.790198
0.2222 (4.5)3.910927
0.2257 (4.4308)3.553765
0.2292 (4.3636)23.932134
0.2326 (4.2985)6.650591
0.2361 (4.2353)0.453064
0.2396 (4.1739)3.727913
0.2431 (4.1143)14.31229
0.2465 (4.0563)39.061956
0.25 (4)0.007356
0.2535 (3.9452)1.179849
0.2569 (3.8919)7.946198
0.2604 (3.84)2.259149
0.2639 (3.7895)11.027267
0.2674 (3.7403)4.41331
0.2708 (3.6923)11.370234
0.2743 (3.6456)12.415355
0.2778 (3.6)5.021974
0.2812 (3.5556)1.89933
0.2847 (3.5122)0.759829
0.2882 (3.4699)0.921992
0.2917 (3.4286)6.668172
0.2951 (3.3882)9.984799
0.2986 (3.3488)0.745051
0.3021 (3.3103)5.210924
0.3056 (3.2727)13.126504
0.309 (3.236)11.526876
0.3125 (3.2)10.916861
0.316 (3.1648)10.213322
0.3194 (3.1304)9.926091
0.3229 (3.0968)0.357587
0.3264 (3.0638)1.321994
0.3299 (3.0316)18.110288
0.3333 (3)5.497734
0.3368 (2.9691)2.046321
0.3403 (2.9388)2.169586
0.3437 (2.9091)4.404796
0.3472 (2.88)3.069283
0.3507 (2.8515)0.831301
0.3542 (2.8235)0.766596
0.3576 (2.7961)10.323162
0.3611 (2.7692)2.009861
0.3646 (2.7429)9.140316
0.3681 (2.717)20.711502
0.3715 (2.6916)3.305345
0.375 (2.6667)4.799064
0.3785 (2.6422)7.807349
0.3819 (2.6182)6.748596
0.3854 (2.5946)9.289562
0.3889 (2.5714)4.496565
0.3924 (2.5487)18.669788
0.3958 (2.5263)2.285487
0.3993 (2.5043)0.706021
0.4028 (2.4828)7.981612
0.4062 (2.4615)6.004098
0.4097 (2.4407)36.981324
0.4132 (2.4202)0.053492
0.4167 (2.4)8.929565
0.4201 (2.3802)2.792419
0.4236 (2.3607)1.975607
0.4271 (2.3415)11.696461
0.4306 (2.3226)8.63014
0.434 (2.304)5.924795
0.4375 (2.2857)26.947266
0.441 (2.2677)3.683983
0.4444 (2.25)5.548757
0.4479 (2.2326)0.716149
0.4514 (2.2154)22.074586
0.4549 (2.1985)5.933031
0.4583 (2.1818)7.159179
0.4618 (2.1654)5.99678
0.4653 (2.1493)0.024992
0.4687 (2.1333)14.42533
0.4722 (2.1176)5.455476
0.4757 (2.1022)0.690782
0.4792 (2.087)2.037475
0.4826 (2.0719)14.742528
0.4861 (2.0571)0.172667
0.4896 (2.0426)9.261123
0.4931 (2.0282)2.249201
0.4965 (2.014)10.317136
0.5 (2)7.494936


Figures (Output of Computation)

Input Parameters & R Code

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