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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 14:07:47 +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/t1418825293b50l5f62000wgi1.htm/, Retrieved Thu, 16 May 2024 21:29:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270291, Retrieved Thu, 16 May 2024 21:29:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66

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]
- RMP     [Spectral Analysis] [] [2014-11-26 14:33:56] [bcf5edf18529a33bd1494456d2c6cb9a]
- R PD        [Spectral Analysis] [] [2014-12-17 14:07:47] [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 time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270291&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]2 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=270291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270291&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 time2 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)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0035 (288)15.92311
0.0069 (144)13.207429
0.0104 (96)32.146796
0.0139 (72)9.994117
0.0174 (57.6)38.693211
0.0208 (48)37.540162
0.0243 (41.1429)17.379719
0.0278 (36)16.237255
0.0312 (32)6.630702
0.0347 (28.8)19.032461
0.0382 (26.1818)138.29915
0.0417 (24)9.100321
0.0451 (22.1538)94.509176
0.0486 (20.5714)26.43899
0.0521 (19.2)82.053183
0.0556 (18)14.004783
0.059 (16.9412)30.897174
0.0625 (16)49.138501
0.066 (15.1579)18.893377
0.0694 (14.4)19.059843
0.0729 (13.7143)4.421855
0.0764 (13.0909)4.26558
0.0799 (12.5217)0.646257
0.0833 (12)0.871553
0.0868 (11.52)0.21718
0.0903 (11.0769)3.202736
0.0938 (10.6667)1.169275
0.0972 (10.2857)3.738221
0.1007 (9.931)4.407284
0.1042 (9.6)18.542379
0.1076 (9.2903)1.512578
0.1111 (9)24.779937
0.1146 (8.7273)4.552996
0.1181 (8.4706)7.118407
0.1215 (8.2286)17.342215
0.125 (8)59.388273
0.1285 (7.7838)4.706922
0.1319 (7.5789)37.443867
0.1354 (7.3846)0.064299
0.1389 (7.2)4.567082
0.1424 (7.0244)3.335134
0.1458 (6.8571)7.286606
0.1493 (6.6977)1.964984
0.1528 (6.5455)0.098317
0.1562 (6.4)1.897947
0.1597 (6.2609)1.720615
0.1632 (6.1277)0.151174
0.1667 (6)0.159691
0.1701 (5.8776)0.232375
0.1736 (5.76)5.032304
0.1771 (5.6471)12.917842
0.1806 (5.5385)2.395874
0.184 (5.434)1.681502
0.1875 (5.3333)20.614552
0.191 (5.2364)8.599528
0.1944 (5.1429)11.020194
0.1979 (5.0526)0.025014
0.2014 (4.9655)7.639382
0.2049 (4.8814)81.376414
0.2083 (4.8)34.441505
0.2118 (4.7213)36.941073
0.2153 (4.6452)92.490384
0.2187 (4.5714)22.716042
0.2222 (4.5)12.016361
0.2257 (4.4308)8.553974
0.2292 (4.3636)49.557591
0.2326 (4.2985)9.056405
0.2361 (4.2353)1.397341
0.2396 (4.1739)1.349011
0.2431 (4.1143)3.7852
0.2465 (4.0563)3.295831
0.25 (4)0.007824
0.2535 (3.9452)0.098008
0.2569 (3.8919)1.950453
0.2604 (3.84)1.725625
0.2639 (3.7895)10.83464
0.2674 (3.7403)6.920767
0.2708 (3.6923)22.031431
0.2743 (3.6456)35.14709
0.2778 (3.6)13.745448
0.2812 (3.5556)7.389656
0.2847 (3.5122)3.64665
0.2882 (3.4699)2.750107
0.2917 (3.4286)28.185727
0.2951 (3.3882)39.428514
0.2986 (3.3488)3.142082
0.3021 (3.3103)20.895085
0.3056 (3.2727)38.229082
0.309 (3.236)23.371683
0.3125 (3.2)16.027413
0.316 (3.1648)23.974195
0.3194 (3.1304)5.894594
0.3229 (3.0968)0.293081
0.3264 (3.0638)0.544901
0.3299 (3.0316)3.563615
0.3333 (3)0.357001
0.3368 (2.9691)0.238305
0.3403 (2.9388)0.367017
0.3437 (2.9091)4.249091
0.3472 (2.88)4.184508
0.3507 (2.8515)4.345322
0.3542 (2.8235)5.344733
0.3576 (2.7961)17.154233
0.3611 (2.7692)2.161701
0.3646 (2.7429)36.484448
0.3681 (2.717)69.284636
0.3715 (2.6916)16.617121
0.375 (2.6667)18.198655
0.3785 (2.6422)28.832413
0.3819 (2.6182)26.122032
0.3854 (2.5946)27.425437
0.3889 (2.5714)17.090204
0.3924 (2.5487)36.077469
0.3958 (2.5263)9.359855
0.3993 (2.5043)0.198596
0.4028 (2.4828)10.253543
0.4062 (2.4615)3.238355
0.4097 (2.4407)9.463038
0.4132 (2.4202)0.273015
0.4167 (2.4)0.303555
0.4201 (2.3802)0.110943
0.4236 (2.3607)1.014436
0.4271 (2.3415)6.799801
0.4306 (2.3226)10.178845
0.434 (2.304)10.6568
0.4375 (2.2857)50.862745
0.441 (2.2677)7.397684
0.4444 (2.25)16.495231
0.4479 (2.2326)3.007746
0.4514 (2.2154)88.904388
0.4549 (2.1985)24.429931
0.4583 (2.1818)31.791309
0.4618 (2.1654)21.887539
0.4653 (2.1493)0.175462
0.4687 (2.1333)45.203428
0.4722 (2.1176)21.044959
0.4757 (2.1022)0.792297
0.4792 (2.087)6.017513
0.4826 (2.0719)19.143731
0.4861 (2.0571)0.360164
0.4896 (2.0426)6.057802
0.4931 (2.0282)0.607743
0.4965 (2.014)1.29368
0.5 (2)0.078083

\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) & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0035 (288) & 15.92311 \tabularnewline
0.0069 (144) & 13.207429 \tabularnewline
0.0104 (96) & 32.146796 \tabularnewline
0.0139 (72) & 9.994117 \tabularnewline
0.0174 (57.6) & 38.693211 \tabularnewline
0.0208 (48) & 37.540162 \tabularnewline
0.0243 (41.1429) & 17.379719 \tabularnewline
0.0278 (36) & 16.237255 \tabularnewline
0.0312 (32) & 6.630702 \tabularnewline
0.0347 (28.8) & 19.032461 \tabularnewline
0.0382 (26.1818) & 138.29915 \tabularnewline
0.0417 (24) & 9.100321 \tabularnewline
0.0451 (22.1538) & 94.509176 \tabularnewline
0.0486 (20.5714) & 26.43899 \tabularnewline
0.0521 (19.2) & 82.053183 \tabularnewline
0.0556 (18) & 14.004783 \tabularnewline
0.059 (16.9412) & 30.897174 \tabularnewline
0.0625 (16) & 49.138501 \tabularnewline
0.066 (15.1579) & 18.893377 \tabularnewline
0.0694 (14.4) & 19.059843 \tabularnewline
0.0729 (13.7143) & 4.421855 \tabularnewline
0.0764 (13.0909) & 4.26558 \tabularnewline
0.0799 (12.5217) & 0.646257 \tabularnewline
0.0833 (12) & 0.871553 \tabularnewline
0.0868 (11.52) & 0.21718 \tabularnewline
0.0903 (11.0769) & 3.202736 \tabularnewline
0.0938 (10.6667) & 1.169275 \tabularnewline
0.0972 (10.2857) & 3.738221 \tabularnewline
0.1007 (9.931) & 4.407284 \tabularnewline
0.1042 (9.6) & 18.542379 \tabularnewline
0.1076 (9.2903) & 1.512578 \tabularnewline
0.1111 (9) & 24.779937 \tabularnewline
0.1146 (8.7273) & 4.552996 \tabularnewline
0.1181 (8.4706) & 7.118407 \tabularnewline
0.1215 (8.2286) & 17.342215 \tabularnewline
0.125 (8) & 59.388273 \tabularnewline
0.1285 (7.7838) & 4.706922 \tabularnewline
0.1319 (7.5789) & 37.443867 \tabularnewline
0.1354 (7.3846) & 0.064299 \tabularnewline
0.1389 (7.2) & 4.567082 \tabularnewline
0.1424 (7.0244) & 3.335134 \tabularnewline
0.1458 (6.8571) & 7.286606 \tabularnewline
0.1493 (6.6977) & 1.964984 \tabularnewline
0.1528 (6.5455) & 0.098317 \tabularnewline
0.1562 (6.4) & 1.897947 \tabularnewline
0.1597 (6.2609) & 1.720615 \tabularnewline
0.1632 (6.1277) & 0.151174 \tabularnewline
0.1667 (6) & 0.159691 \tabularnewline
0.1701 (5.8776) & 0.232375 \tabularnewline
0.1736 (5.76) & 5.032304 \tabularnewline
0.1771 (5.6471) & 12.917842 \tabularnewline
0.1806 (5.5385) & 2.395874 \tabularnewline
0.184 (5.434) & 1.681502 \tabularnewline
0.1875 (5.3333) & 20.614552 \tabularnewline
0.191 (5.2364) & 8.599528 \tabularnewline
0.1944 (5.1429) & 11.020194 \tabularnewline
0.1979 (5.0526) & 0.025014 \tabularnewline
0.2014 (4.9655) & 7.639382 \tabularnewline
0.2049 (4.8814) & 81.376414 \tabularnewline
0.2083 (4.8) & 34.441505 \tabularnewline
0.2118 (4.7213) & 36.941073 \tabularnewline
0.2153 (4.6452) & 92.490384 \tabularnewline
0.2187 (4.5714) & 22.716042 \tabularnewline
0.2222 (4.5) & 12.016361 \tabularnewline
0.2257 (4.4308) & 8.553974 \tabularnewline
0.2292 (4.3636) & 49.557591 \tabularnewline
0.2326 (4.2985) & 9.056405 \tabularnewline
0.2361 (4.2353) & 1.397341 \tabularnewline
0.2396 (4.1739) & 1.349011 \tabularnewline
0.2431 (4.1143) & 3.7852 \tabularnewline
0.2465 (4.0563) & 3.295831 \tabularnewline
0.25 (4) & 0.007824 \tabularnewline
0.2535 (3.9452) & 0.098008 \tabularnewline
0.2569 (3.8919) & 1.950453 \tabularnewline
0.2604 (3.84) & 1.725625 \tabularnewline
0.2639 (3.7895) & 10.83464 \tabularnewline
0.2674 (3.7403) & 6.920767 \tabularnewline
0.2708 (3.6923) & 22.031431 \tabularnewline
0.2743 (3.6456) & 35.14709 \tabularnewline
0.2778 (3.6) & 13.745448 \tabularnewline
0.2812 (3.5556) & 7.389656 \tabularnewline
0.2847 (3.5122) & 3.64665 \tabularnewline
0.2882 (3.4699) & 2.750107 \tabularnewline
0.2917 (3.4286) & 28.185727 \tabularnewline
0.2951 (3.3882) & 39.428514 \tabularnewline
0.2986 (3.3488) & 3.142082 \tabularnewline
0.3021 (3.3103) & 20.895085 \tabularnewline
0.3056 (3.2727) & 38.229082 \tabularnewline
0.309 (3.236) & 23.371683 \tabularnewline
0.3125 (3.2) & 16.027413 \tabularnewline
0.316 (3.1648) & 23.974195 \tabularnewline
0.3194 (3.1304) & 5.894594 \tabularnewline
0.3229 (3.0968) & 0.293081 \tabularnewline
0.3264 (3.0638) & 0.544901 \tabularnewline
0.3299 (3.0316) & 3.563615 \tabularnewline
0.3333 (3) & 0.357001 \tabularnewline
0.3368 (2.9691) & 0.238305 \tabularnewline
0.3403 (2.9388) & 0.367017 \tabularnewline
0.3437 (2.9091) & 4.249091 \tabularnewline
0.3472 (2.88) & 4.184508 \tabularnewline
0.3507 (2.8515) & 4.345322 \tabularnewline
0.3542 (2.8235) & 5.344733 \tabularnewline
0.3576 (2.7961) & 17.154233 \tabularnewline
0.3611 (2.7692) & 2.161701 \tabularnewline
0.3646 (2.7429) & 36.484448 \tabularnewline
0.3681 (2.717) & 69.284636 \tabularnewline
0.3715 (2.6916) & 16.617121 \tabularnewline
0.375 (2.6667) & 18.198655 \tabularnewline
0.3785 (2.6422) & 28.832413 \tabularnewline
0.3819 (2.6182) & 26.122032 \tabularnewline
0.3854 (2.5946) & 27.425437 \tabularnewline
0.3889 (2.5714) & 17.090204 \tabularnewline
0.3924 (2.5487) & 36.077469 \tabularnewline
0.3958 (2.5263) & 9.359855 \tabularnewline
0.3993 (2.5043) & 0.198596 \tabularnewline
0.4028 (2.4828) & 10.253543 \tabularnewline
0.4062 (2.4615) & 3.238355 \tabularnewline
0.4097 (2.4407) & 9.463038 \tabularnewline
0.4132 (2.4202) & 0.273015 \tabularnewline
0.4167 (2.4) & 0.303555 \tabularnewline
0.4201 (2.3802) & 0.110943 \tabularnewline
0.4236 (2.3607) & 1.014436 \tabularnewline
0.4271 (2.3415) & 6.799801 \tabularnewline
0.4306 (2.3226) & 10.178845 \tabularnewline
0.434 (2.304) & 10.6568 \tabularnewline
0.4375 (2.2857) & 50.862745 \tabularnewline
0.441 (2.2677) & 7.397684 \tabularnewline
0.4444 (2.25) & 16.495231 \tabularnewline
0.4479 (2.2326) & 3.007746 \tabularnewline
0.4514 (2.2154) & 88.904388 \tabularnewline
0.4549 (2.1985) & 24.429931 \tabularnewline
0.4583 (2.1818) & 31.791309 \tabularnewline
0.4618 (2.1654) & 21.887539 \tabularnewline
0.4653 (2.1493) & 0.175462 \tabularnewline
0.4687 (2.1333) & 45.203428 \tabularnewline
0.4722 (2.1176) & 21.044959 \tabularnewline
0.4757 (2.1022) & 0.792297 \tabularnewline
0.4792 (2.087) & 6.017513 \tabularnewline
0.4826 (2.0719) & 19.143731 \tabularnewline
0.4861 (2.0571) & 0.360164 \tabularnewline
0.4896 (2.0426) & 6.057802 \tabularnewline
0.4931 (2.0282) & 0.607743 \tabularnewline
0.4965 (2.014) & 1.29368 \tabularnewline
0.5 (2) & 0.078083 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270291&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]1[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0035 (288)[/C][C]15.92311[/C][/ROW]
[ROW][C]0.0069 (144)[/C][C]13.207429[/C][/ROW]
[ROW][C]0.0104 (96)[/C][C]32.146796[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]9.994117[/C][/ROW]
[ROW][C]0.0174 (57.6)[/C][C]38.693211[/C][/ROW]
[ROW][C]0.0208 (48)[/C][C]37.540162[/C][/ROW]
[ROW][C]0.0243 (41.1429)[/C][C]17.379719[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]16.237255[/C][/ROW]
[ROW][C]0.0312 (32)[/C][C]6.630702[/C][/ROW]
[ROW][C]0.0347 (28.8)[/C][C]19.032461[/C][/ROW]
[ROW][C]0.0382 (26.1818)[/C][C]138.29915[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]9.100321[/C][/ROW]
[ROW][C]0.0451 (22.1538)[/C][C]94.509176[/C][/ROW]
[ROW][C]0.0486 (20.5714)[/C][C]26.43899[/C][/ROW]
[ROW][C]0.0521 (19.2)[/C][C]82.053183[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]14.004783[/C][/ROW]
[ROW][C]0.059 (16.9412)[/C][C]30.897174[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]49.138501[/C][/ROW]
[ROW][C]0.066 (15.1579)[/C][C]18.893377[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]19.059843[/C][/ROW]
[ROW][C]0.0729 (13.7143)[/C][C]4.421855[/C][/ROW]
[ROW][C]0.0764 (13.0909)[/C][C]4.26558[/C][/ROW]
[ROW][C]0.0799 (12.5217)[/C][C]0.646257[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]0.871553[/C][/ROW]
[ROW][C]0.0868 (11.52)[/C][C]0.21718[/C][/ROW]
[ROW][C]0.0903 (11.0769)[/C][C]3.202736[/C][/ROW]
[ROW][C]0.0938 (10.6667)[/C][C]1.169275[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]3.738221[/C][/ROW]
[ROW][C]0.1007 (9.931)[/C][C]4.407284[/C][/ROW]
[ROW][C]0.1042 (9.6)[/C][C]18.542379[/C][/ROW]
[ROW][C]0.1076 (9.2903)[/C][C]1.512578[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]24.779937[/C][/ROW]
[ROW][C]0.1146 (8.7273)[/C][C]4.552996[/C][/ROW]
[ROW][C]0.1181 (8.4706)[/C][C]7.118407[/C][/ROW]
[ROW][C]0.1215 (8.2286)[/C][C]17.342215[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]59.388273[/C][/ROW]
[ROW][C]0.1285 (7.7838)[/C][C]4.706922[/C][/ROW]
[ROW][C]0.1319 (7.5789)[/C][C]37.443867[/C][/ROW]
[ROW][C]0.1354 (7.3846)[/C][C]0.064299[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]4.567082[/C][/ROW]
[ROW][C]0.1424 (7.0244)[/C][C]3.335134[/C][/ROW]
[ROW][C]0.1458 (6.8571)[/C][C]7.286606[/C][/ROW]
[ROW][C]0.1493 (6.6977)[/C][C]1.964984[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]0.098317[/C][/ROW]
[ROW][C]0.1562 (6.4)[/C][C]1.897947[/C][/ROW]
[ROW][C]0.1597 (6.2609)[/C][C]1.720615[/C][/ROW]
[ROW][C]0.1632 (6.1277)[/C][C]0.151174[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0.159691[/C][/ROW]
[ROW][C]0.1701 (5.8776)[/C][C]0.232375[/C][/ROW]
[ROW][C]0.1736 (5.76)[/C][C]5.032304[/C][/ROW]
[ROW][C]0.1771 (5.6471)[/C][C]12.917842[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]2.395874[/C][/ROW]
[ROW][C]0.184 (5.434)[/C][C]1.681502[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]20.614552[/C][/ROW]
[ROW][C]0.191 (5.2364)[/C][C]8.599528[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]11.020194[/C][/ROW]
[ROW][C]0.1979 (5.0526)[/C][C]0.025014[/C][/ROW]
[ROW][C]0.2014 (4.9655)[/C][C]7.639382[/C][/ROW]
[ROW][C]0.2049 (4.8814)[/C][C]81.376414[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]34.441505[/C][/ROW]
[ROW][C]0.2118 (4.7213)[/C][C]36.941073[/C][/ROW]
[ROW][C]0.2153 (4.6452)[/C][C]92.490384[/C][/ROW]
[ROW][C]0.2187 (4.5714)[/C][C]22.716042[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]12.016361[/C][/ROW]
[ROW][C]0.2257 (4.4308)[/C][C]8.553974[/C][/ROW]
[ROW][C]0.2292 (4.3636)[/C][C]49.557591[/C][/ROW]
[ROW][C]0.2326 (4.2985)[/C][C]9.056405[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]1.397341[/C][/ROW]
[ROW][C]0.2396 (4.1739)[/C][C]1.349011[/C][/ROW]
[ROW][C]0.2431 (4.1143)[/C][C]3.7852[/C][/ROW]
[ROW][C]0.2465 (4.0563)[/C][C]3.295831[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.007824[/C][/ROW]
[ROW][C]0.2535 (3.9452)[/C][C]0.098008[/C][/ROW]
[ROW][C]0.2569 (3.8919)[/C][C]1.950453[/C][/ROW]
[ROW][C]0.2604 (3.84)[/C][C]1.725625[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]10.83464[/C][/ROW]
[ROW][C]0.2674 (3.7403)[/C][C]6.920767[/C][/ROW]
[ROW][C]0.2708 (3.6923)[/C][C]22.031431[/C][/ROW]
[ROW][C]0.2743 (3.6456)[/C][C]35.14709[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]13.745448[/C][/ROW]
[ROW][C]0.2812 (3.5556)[/C][C]7.389656[/C][/ROW]
[ROW][C]0.2847 (3.5122)[/C][C]3.64665[/C][/ROW]
[ROW][C]0.2882 (3.4699)[/C][C]2.750107[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]28.185727[/C][/ROW]
[ROW][C]0.2951 (3.3882)[/C][C]39.428514[/C][/ROW]
[ROW][C]0.2986 (3.3488)[/C][C]3.142082[/C][/ROW]
[ROW][C]0.3021 (3.3103)[/C][C]20.895085[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]38.229082[/C][/ROW]
[ROW][C]0.309 (3.236)[/C][C]23.371683[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]16.027413[/C][/ROW]
[ROW][C]0.316 (3.1648)[/C][C]23.974195[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]5.894594[/C][/ROW]
[ROW][C]0.3229 (3.0968)[/C][C]0.293081[/C][/ROW]
[ROW][C]0.3264 (3.0638)[/C][C]0.544901[/C][/ROW]
[ROW][C]0.3299 (3.0316)[/C][C]3.563615[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.357001[/C][/ROW]
[ROW][C]0.3368 (2.9691)[/C][C]0.238305[/C][/ROW]
[ROW][C]0.3403 (2.9388)[/C][C]0.367017[/C][/ROW]
[ROW][C]0.3437 (2.9091)[/C][C]4.249091[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]4.184508[/C][/ROW]
[ROW][C]0.3507 (2.8515)[/C][C]4.345322[/C][/ROW]
[ROW][C]0.3542 (2.8235)[/C][C]5.344733[/C][/ROW]
[ROW][C]0.3576 (2.7961)[/C][C]17.154233[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]2.161701[/C][/ROW]
[ROW][C]0.3646 (2.7429)[/C][C]36.484448[/C][/ROW]
[ROW][C]0.3681 (2.717)[/C][C]69.284636[/C][/ROW]
[ROW][C]0.3715 (2.6916)[/C][C]16.617121[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]18.198655[/C][/ROW]
[ROW][C]0.3785 (2.6422)[/C][C]28.832413[/C][/ROW]
[ROW][C]0.3819 (2.6182)[/C][C]26.122032[/C][/ROW]
[ROW][C]0.3854 (2.5946)[/C][C]27.425437[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]17.090204[/C][/ROW]
[ROW][C]0.3924 (2.5487)[/C][C]36.077469[/C][/ROW]
[ROW][C]0.3958 (2.5263)[/C][C]9.359855[/C][/ROW]
[ROW][C]0.3993 (2.5043)[/C][C]0.198596[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]10.253543[/C][/ROW]
[ROW][C]0.4062 (2.4615)[/C][C]3.238355[/C][/ROW]
[ROW][C]0.4097 (2.4407)[/C][C]9.463038[/C][/ROW]
[ROW][C]0.4132 (2.4202)[/C][C]0.273015[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0.303555[/C][/ROW]
[ROW][C]0.4201 (2.3802)[/C][C]0.110943[/C][/ROW]
[ROW][C]0.4236 (2.3607)[/C][C]1.014436[/C][/ROW]
[ROW][C]0.4271 (2.3415)[/C][C]6.799801[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]10.178845[/C][/ROW]
[ROW][C]0.434 (2.304)[/C][C]10.6568[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]50.862745[/C][/ROW]
[ROW][C]0.441 (2.2677)[/C][C]7.397684[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]16.495231[/C][/ROW]
[ROW][C]0.4479 (2.2326)[/C][C]3.007746[/C][/ROW]
[ROW][C]0.4514 (2.2154)[/C][C]88.904388[/C][/ROW]
[ROW][C]0.4549 (2.1985)[/C][C]24.429931[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]31.791309[/C][/ROW]
[ROW][C]0.4618 (2.1654)[/C][C]21.887539[/C][/ROW]
[ROW][C]0.4653 (2.1493)[/C][C]0.175462[/C][/ROW]
[ROW][C]0.4687 (2.1333)[/C][C]45.203428[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]21.044959[/C][/ROW]
[ROW][C]0.4757 (2.1022)[/C][C]0.792297[/C][/ROW]
[ROW][C]0.4792 (2.087)[/C][C]6.017513[/C][/ROW]
[ROW][C]0.4826 (2.0719)[/C][C]19.143731[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]0.360164[/C][/ROW]
[ROW][C]0.4896 (2.0426)[/C][C]6.057802[/C][/ROW]
[ROW][C]0.4931 (2.0282)[/C][C]0.607743[/C][/ROW]
[ROW][C]0.4965 (2.014)[/C][C]1.29368[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.078083[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270291&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)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0035 (288)15.92311
0.0069 (144)13.207429
0.0104 (96)32.146796
0.0139 (72)9.994117
0.0174 (57.6)38.693211
0.0208 (48)37.540162
0.0243 (41.1429)17.379719
0.0278 (36)16.237255
0.0312 (32)6.630702
0.0347 (28.8)19.032461
0.0382 (26.1818)138.29915
0.0417 (24)9.100321
0.0451 (22.1538)94.509176
0.0486 (20.5714)26.43899
0.0521 (19.2)82.053183
0.0556 (18)14.004783
0.059 (16.9412)30.897174
0.0625 (16)49.138501
0.066 (15.1579)18.893377
0.0694 (14.4)19.059843
0.0729 (13.7143)4.421855
0.0764 (13.0909)4.26558
0.0799 (12.5217)0.646257
0.0833 (12)0.871553
0.0868 (11.52)0.21718
0.0903 (11.0769)3.202736
0.0938 (10.6667)1.169275
0.0972 (10.2857)3.738221
0.1007 (9.931)4.407284
0.1042 (9.6)18.542379
0.1076 (9.2903)1.512578
0.1111 (9)24.779937
0.1146 (8.7273)4.552996
0.1181 (8.4706)7.118407
0.1215 (8.2286)17.342215
0.125 (8)59.388273
0.1285 (7.7838)4.706922
0.1319 (7.5789)37.443867
0.1354 (7.3846)0.064299
0.1389 (7.2)4.567082
0.1424 (7.0244)3.335134
0.1458 (6.8571)7.286606
0.1493 (6.6977)1.964984
0.1528 (6.5455)0.098317
0.1562 (6.4)1.897947
0.1597 (6.2609)1.720615
0.1632 (6.1277)0.151174
0.1667 (6)0.159691
0.1701 (5.8776)0.232375
0.1736 (5.76)5.032304
0.1771 (5.6471)12.917842
0.1806 (5.5385)2.395874
0.184 (5.434)1.681502
0.1875 (5.3333)20.614552
0.191 (5.2364)8.599528
0.1944 (5.1429)11.020194
0.1979 (5.0526)0.025014
0.2014 (4.9655)7.639382
0.2049 (4.8814)81.376414
0.2083 (4.8)34.441505
0.2118 (4.7213)36.941073
0.2153 (4.6452)92.490384
0.2187 (4.5714)22.716042
0.2222 (4.5)12.016361
0.2257 (4.4308)8.553974
0.2292 (4.3636)49.557591
0.2326 (4.2985)9.056405
0.2361 (4.2353)1.397341
0.2396 (4.1739)1.349011
0.2431 (4.1143)3.7852
0.2465 (4.0563)3.295831
0.25 (4)0.007824
0.2535 (3.9452)0.098008
0.2569 (3.8919)1.950453
0.2604 (3.84)1.725625
0.2639 (3.7895)10.83464
0.2674 (3.7403)6.920767
0.2708 (3.6923)22.031431
0.2743 (3.6456)35.14709
0.2778 (3.6)13.745448
0.2812 (3.5556)7.389656
0.2847 (3.5122)3.64665
0.2882 (3.4699)2.750107
0.2917 (3.4286)28.185727
0.2951 (3.3882)39.428514
0.2986 (3.3488)3.142082
0.3021 (3.3103)20.895085
0.3056 (3.2727)38.229082
0.309 (3.236)23.371683
0.3125 (3.2)16.027413
0.316 (3.1648)23.974195
0.3194 (3.1304)5.894594
0.3229 (3.0968)0.293081
0.3264 (3.0638)0.544901
0.3299 (3.0316)3.563615
0.3333 (3)0.357001
0.3368 (2.9691)0.238305
0.3403 (2.9388)0.367017
0.3437 (2.9091)4.249091
0.3472 (2.88)4.184508
0.3507 (2.8515)4.345322
0.3542 (2.8235)5.344733
0.3576 (2.7961)17.154233
0.3611 (2.7692)2.161701
0.3646 (2.7429)36.484448
0.3681 (2.717)69.284636
0.3715 (2.6916)16.617121
0.375 (2.6667)18.198655
0.3785 (2.6422)28.832413
0.3819 (2.6182)26.122032
0.3854 (2.5946)27.425437
0.3889 (2.5714)17.090204
0.3924 (2.5487)36.077469
0.3958 (2.5263)9.359855
0.3993 (2.5043)0.198596
0.4028 (2.4828)10.253543
0.4062 (2.4615)3.238355
0.4097 (2.4407)9.463038
0.4132 (2.4202)0.273015
0.4167 (2.4)0.303555
0.4201 (2.3802)0.110943
0.4236 (2.3607)1.014436
0.4271 (2.3415)6.799801
0.4306 (2.3226)10.178845
0.434 (2.304)10.6568
0.4375 (2.2857)50.862745
0.441 (2.2677)7.397684
0.4444 (2.25)16.495231
0.4479 (2.2326)3.007746
0.4514 (2.2154)88.904388
0.4549 (2.1985)24.429931
0.4583 (2.1818)31.791309
0.4618 (2.1654)21.887539
0.4653 (2.1493)0.175462
0.4687 (2.1333)45.203428
0.4722 (2.1176)21.044959
0.4757 (2.1022)0.792297
0.4792 (2.087)6.017513
0.4826 (2.0719)19.143731
0.4861 (2.0571)0.360164
0.4896 (2.0426)6.057802
0.4931 (2.0282)0.607743
0.4965 (2.014)1.29368
0.5 (2)0.078083


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 = 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')