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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 computationThu, 11 Dec 2014 15:40:48 +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/11/t1418312470zlff3lckh08ab3d.htm/, Retrieved Thu, 16 May 2024 22:20:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266131, Retrieved Thu, 16 May 2024 22:20:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spectral Analysis] [DqhshtrsDrg] [2014-12-11 15:40:48] [7de4f24d5c21ad7c83693f758b02221d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9
12.2
12.8
7.4
6.7
12.6
14.8
13.3
11.1
8.2
11.4
6.4
10.6
12.0
6.3
11.3
11.9
9.3
9.6
10.0
6.4
13.8
10.8
13.8
11.7
10.9
16.1
13.4
9.9
11.5
8.3
11.7
9.0
9.7
10.8
10.3
10.4
12.7
9.3
11.8
5.9
11.4
13.0
10.8
12.3
11.3
11.8
7.9
12.7
12.3
11.6
6.7
10.9
12.1
13.3
10.1
5.7
14.3
8.0
13.3
9.3
12.5
7.6
15.9
9.2
9.1
11.1
13.0
14.5
12.2
12.3
11.4
8.8
14.6
12.6
13.0
12.6
13.2
9.9
7.7
10.5
13.4
10.9
4.3
10.3
11.8
11.2
11.4
8.6
13.2
12.6
5.6
9.9
8.8
7.7
9.0
7.3
11.4
13.6
7.9
10.7
10.3
8.3
9.6
14.2
8.5
13.5
4.9
6.4
9.6
11.6
11.1
4.35
12.7
18.1
17.85
16.6
12.6
17.1
19.1
16.1
13.35
18.4
14.7
10.6
12.6
16.2
13.6
18.9
14.1
14.5
16.15
14.75
14.8
12.45
12.65
17.35
8.6
18.4
16.1
11.6
17.75
15.25
17.65
16.35
17.65
13.6
14.35
14.75
18.25
9.9
16
18.25
16.85
14.6
13.85
18.95
15.6
14.85
11.75
18.45
15.9
17.1
16.1
19.9
10.95
18.45
15.1
15
11.35
15.95
18.1
14.6
15.4
15.4
17.6
13.35
19.1
15.35
7.6
13.4
13.9
19.1
15.25
12.9
16.1
17.35
13.15
12.15
12.6
10.35
15.4
9.6
18.2
13.6
14.85
14.75
14.1
14.9
16.25
19.25
13.6
13.6
15.65
12.75
14.6
9.85
12.65
19.2
16.6
11.2
15.25
11.9
13.2
16.35
12.4
15.85
18.15
11.15
15.65
17.75
7.65
12.35
15.6
19.3
15.2
17.1
15.6
18.4
19.05
18.55
19.1
13.1
12.85
9.5
4.5
11.85
13.6
11.7
12.4
13.35
11.4
14.9
19.9
11.2
14.6
17.6
14.05
16.1
13.35
11.85
11.95
14.75
15.15
13.2
16.85
7.85
7.7
12.6
7.85
10.95
12.35
9.95
14.9
16.65
13.4
13.95
15.7
16.85
10.95
15.35
12.2
15.1
17.75
15.2
14.6
16.65
8.1

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266131&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266131&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266131&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'Sir Maurice George Kendall' @ kendall.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)108.042451
0.0069 (144)111.192063
0.0104 (96)25.460798
0.0139 (72)37.356734
0.0174 (57.6)12.877601
0.0208 (48)28.053892
0.0243 (41.1429)13.396971
0.0278 (36)2.624173
0.0312 (32)3.766251
0.0347 (28.8)0.561102
0.0382 (26.1818)24.162831
0.0417 (24)11.811026
0.0451 (22.1538)41.182025
0.0486 (20.5714)13.589744
0.0521 (19.2)2.12429
0.0556 (18)12.823105
0.059 (16.9412)7.587435
0.0625 (16)23.57388
0.066 (15.1579)3.012366
0.0694 (14.4)21.136258
0.0729 (13.7143)27.756997
0.0764 (13.0909)0.511944
0.0799 (12.5217)12.230689
0.0833 (12)1.656162
0.0868 (11.52)14.542624
0.0903 (11.0769)15.71861
0.0938 (10.6667)9.800896
0.0972 (10.2857)1.150086
0.1007 (9.931)4.90663
0.1042 (9.6)0.767148
0.1076 (9.2903)7.638742
0.1111 (9)0.488665
0.1146 (8.7273)8.723881
0.1181 (8.4706)0.563735
0.1215 (8.2286)0.04917
0.125 (8)5.023896
0.1285 (7.7838)21.748956
0.1319 (7.5789)1.601332
0.1354 (7.3846)12.488049
0.1389 (7.2)1.564607
0.1424 (7.0244)2.116332
0.1458 (6.8571)2.158591
0.1493 (6.6977)4.066149
0.1528 (6.5455)0.592019
0.1562 (6.4)0.651678
0.1597 (6.2609)2.303013
0.1632 (6.1277)2.882551
0.1667 (6)15.043333
0.1701 (5.8776)0.704864
0.1736 (5.76)10.412204
0.1771 (5.6471)1.117989
0.1806 (5.5385)26.51049
0.184 (5.434)1.381717
0.1875 (5.3333)4.32249
0.191 (5.2364)4.59146
0.1944 (5.1429)19.757699
0.1979 (5.0526)0.783831
0.2014 (4.9655)1.575961
0.2049 (4.8814)0.037341
0.2083 (4.8)13.106634
0.2118 (4.7213)27.419715
0.2153 (4.6452)2.713644
0.2187 (4.5714)11.859648
0.2222 (4.5)0.881064
0.2257 (4.4308)1.135233
0.2292 (4.3636)4.251202
0.2326 (4.2985)9.659449
0.2361 (4.2353)36.975921
0.2396 (4.1739)9.543365
0.2431 (4.1143)6.103774
0.2465 (4.0563)9.53466
0.25 (4)2.933425
0.2535 (3.9452)10.644707
0.2569 (3.8919)2.873935
0.2604 (3.84)1.161149
0.2639 (3.7895)10.593435
0.2674 (3.7403)12.634579
0.2708 (3.6923)19.437069
0.2743 (3.6456)0.201591
0.2778 (3.6)9.722269
0.2812 (3.5556)7.087349
0.2847 (3.5122)3.781036
0.2882 (3.4699)7.570778
0.2917 (3.4286)2.590164
0.2951 (3.3882)4.906785
0.2986 (3.3488)2.086756
0.3021 (3.3103)0.520613
0.3056 (3.2727)5.481069
0.309 (3.236)17.842569
0.3125 (3.2)0.417997
0.316 (3.1648)11.478105
0.3194 (3.1304)15.508864
0.3229 (3.0968)5.840947
0.3264 (3.0638)4.170682
0.3299 (3.0316)1.621669
0.3333 (3)3.096584
0.3368 (2.9691)10.302925
0.3403 (2.9388)7.116349
0.3437 (2.9091)14.107176
0.3472 (2.88)12.797452
0.3507 (2.8515)8.860848
0.3542 (2.8235)6.588457
0.3576 (2.7961)9.533001
0.3611 (2.7692)8.387419
0.3646 (2.7429)11.921294
0.3681 (2.717)13.89914
0.3715 (2.6916)6.103345
0.375 (2.6667)12.674565
0.3785 (2.6422)5.727731
0.3819 (2.6182)7.715119
0.3854 (2.5946)7.862229
0.3889 (2.5714)9.91304
0.3924 (2.5487)10.12151
0.3958 (2.5263)0.140451
0.3993 (2.5043)7.59719
0.4028 (2.4828)14.426673
0.4062 (2.4615)0.239802
0.4097 (2.4407)9.499869
0.4132 (2.4202)0.211846
0.4167 (2.4)11.029117
0.4201 (2.3802)0.256746
0.4236 (2.3607)10.842555
0.4271 (2.3415)0.199328
0.4306 (2.3226)8.552352
0.434 (2.304)2.897734
0.4375 (2.2857)3.848077
0.441 (2.2677)10.154744
0.4444 (2.25)3.183906
0.4479 (2.2326)24.614802
0.4514 (2.2154)1.140279
0.4549 (2.1985)16.752576
0.4583 (2.1818)0.032852
0.4618 (2.1654)6.245861
0.4653 (2.1493)15.920989
0.4687 (2.1333)4.827381
0.4722 (2.1176)4.371809
0.4757 (2.1022)10.905769
0.4792 (2.087)3.427845
0.4826 (2.0719)11.481947
0.4861 (2.0571)4.768151
0.4896 (2.0426)0.38416
0.4931 (2.0282)9.092476
0.4965 (2.014)7.04874
0.5 (2)0.046643

\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) & 108.042451 \tabularnewline
0.0069 (144) & 111.192063 \tabularnewline
0.0104 (96) & 25.460798 \tabularnewline
0.0139 (72) & 37.356734 \tabularnewline
0.0174 (57.6) & 12.877601 \tabularnewline
0.0208 (48) & 28.053892 \tabularnewline
0.0243 (41.1429) & 13.396971 \tabularnewline
0.0278 (36) & 2.624173 \tabularnewline
0.0312 (32) & 3.766251 \tabularnewline
0.0347 (28.8) & 0.561102 \tabularnewline
0.0382 (26.1818) & 24.162831 \tabularnewline
0.0417 (24) & 11.811026 \tabularnewline
0.0451 (22.1538) & 41.182025 \tabularnewline
0.0486 (20.5714) & 13.589744 \tabularnewline
0.0521 (19.2) & 2.12429 \tabularnewline
0.0556 (18) & 12.823105 \tabularnewline
0.059 (16.9412) & 7.587435 \tabularnewline
0.0625 (16) & 23.57388 \tabularnewline
0.066 (15.1579) & 3.012366 \tabularnewline
0.0694 (14.4) & 21.136258 \tabularnewline
0.0729 (13.7143) & 27.756997 \tabularnewline
0.0764 (13.0909) & 0.511944 \tabularnewline
0.0799 (12.5217) & 12.230689 \tabularnewline
0.0833 (12) & 1.656162 \tabularnewline
0.0868 (11.52) & 14.542624 \tabularnewline
0.0903 (11.0769) & 15.71861 \tabularnewline
0.0938 (10.6667) & 9.800896 \tabularnewline
0.0972 (10.2857) & 1.150086 \tabularnewline
0.1007 (9.931) & 4.90663 \tabularnewline
0.1042 (9.6) & 0.767148 \tabularnewline
0.1076 (9.2903) & 7.638742 \tabularnewline
0.1111 (9) & 0.488665 \tabularnewline
0.1146 (8.7273) & 8.723881 \tabularnewline
0.1181 (8.4706) & 0.563735 \tabularnewline
0.1215 (8.2286) & 0.04917 \tabularnewline
0.125 (8) & 5.023896 \tabularnewline
0.1285 (7.7838) & 21.748956 \tabularnewline
0.1319 (7.5789) & 1.601332 \tabularnewline
0.1354 (7.3846) & 12.488049 \tabularnewline
0.1389 (7.2) & 1.564607 \tabularnewline
0.1424 (7.0244) & 2.116332 \tabularnewline
0.1458 (6.8571) & 2.158591 \tabularnewline
0.1493 (6.6977) & 4.066149 \tabularnewline
0.1528 (6.5455) & 0.592019 \tabularnewline
0.1562 (6.4) & 0.651678 \tabularnewline
0.1597 (6.2609) & 2.303013 \tabularnewline
0.1632 (6.1277) & 2.882551 \tabularnewline
0.1667 (6) & 15.043333 \tabularnewline
0.1701 (5.8776) & 0.704864 \tabularnewline
0.1736 (5.76) & 10.412204 \tabularnewline
0.1771 (5.6471) & 1.117989 \tabularnewline
0.1806 (5.5385) & 26.51049 \tabularnewline
0.184 (5.434) & 1.381717 \tabularnewline
0.1875 (5.3333) & 4.32249 \tabularnewline
0.191 (5.2364) & 4.59146 \tabularnewline
0.1944 (5.1429) & 19.757699 \tabularnewline
0.1979 (5.0526) & 0.783831 \tabularnewline
0.2014 (4.9655) & 1.575961 \tabularnewline
0.2049 (4.8814) & 0.037341 \tabularnewline
0.2083 (4.8) & 13.106634 \tabularnewline
0.2118 (4.7213) & 27.419715 \tabularnewline
0.2153 (4.6452) & 2.713644 \tabularnewline
0.2187 (4.5714) & 11.859648 \tabularnewline
0.2222 (4.5) & 0.881064 \tabularnewline
0.2257 (4.4308) & 1.135233 \tabularnewline
0.2292 (4.3636) & 4.251202 \tabularnewline
0.2326 (4.2985) & 9.659449 \tabularnewline
0.2361 (4.2353) & 36.975921 \tabularnewline
0.2396 (4.1739) & 9.543365 \tabularnewline
0.2431 (4.1143) & 6.103774 \tabularnewline
0.2465 (4.0563) & 9.53466 \tabularnewline
0.25 (4) & 2.933425 \tabularnewline
0.2535 (3.9452) & 10.644707 \tabularnewline
0.2569 (3.8919) & 2.873935 \tabularnewline
0.2604 (3.84) & 1.161149 \tabularnewline
0.2639 (3.7895) & 10.593435 \tabularnewline
0.2674 (3.7403) & 12.634579 \tabularnewline
0.2708 (3.6923) & 19.437069 \tabularnewline
0.2743 (3.6456) & 0.201591 \tabularnewline
0.2778 (3.6) & 9.722269 \tabularnewline
0.2812 (3.5556) & 7.087349 \tabularnewline
0.2847 (3.5122) & 3.781036 \tabularnewline
0.2882 (3.4699) & 7.570778 \tabularnewline
0.2917 (3.4286) & 2.590164 \tabularnewline
0.2951 (3.3882) & 4.906785 \tabularnewline
0.2986 (3.3488) & 2.086756 \tabularnewline
0.3021 (3.3103) & 0.520613 \tabularnewline
0.3056 (3.2727) & 5.481069 \tabularnewline
0.309 (3.236) & 17.842569 \tabularnewline
0.3125 (3.2) & 0.417997 \tabularnewline
0.316 (3.1648) & 11.478105 \tabularnewline
0.3194 (3.1304) & 15.508864 \tabularnewline
0.3229 (3.0968) & 5.840947 \tabularnewline
0.3264 (3.0638) & 4.170682 \tabularnewline
0.3299 (3.0316) & 1.621669 \tabularnewline
0.3333 (3) & 3.096584 \tabularnewline
0.3368 (2.9691) & 10.302925 \tabularnewline
0.3403 (2.9388) & 7.116349 \tabularnewline
0.3437 (2.9091) & 14.107176 \tabularnewline
0.3472 (2.88) & 12.797452 \tabularnewline
0.3507 (2.8515) & 8.860848 \tabularnewline
0.3542 (2.8235) & 6.588457 \tabularnewline
0.3576 (2.7961) & 9.533001 \tabularnewline
0.3611 (2.7692) & 8.387419 \tabularnewline
0.3646 (2.7429) & 11.921294 \tabularnewline
0.3681 (2.717) & 13.89914 \tabularnewline
0.3715 (2.6916) & 6.103345 \tabularnewline
0.375 (2.6667) & 12.674565 \tabularnewline
0.3785 (2.6422) & 5.727731 \tabularnewline
0.3819 (2.6182) & 7.715119 \tabularnewline
0.3854 (2.5946) & 7.862229 \tabularnewline
0.3889 (2.5714) & 9.91304 \tabularnewline
0.3924 (2.5487) & 10.12151 \tabularnewline
0.3958 (2.5263) & 0.140451 \tabularnewline
0.3993 (2.5043) & 7.59719 \tabularnewline
0.4028 (2.4828) & 14.426673 \tabularnewline
0.4062 (2.4615) & 0.239802 \tabularnewline
0.4097 (2.4407) & 9.499869 \tabularnewline
0.4132 (2.4202) & 0.211846 \tabularnewline
0.4167 (2.4) & 11.029117 \tabularnewline
0.4201 (2.3802) & 0.256746 \tabularnewline
0.4236 (2.3607) & 10.842555 \tabularnewline
0.4271 (2.3415) & 0.199328 \tabularnewline
0.4306 (2.3226) & 8.552352 \tabularnewline
0.434 (2.304) & 2.897734 \tabularnewline
0.4375 (2.2857) & 3.848077 \tabularnewline
0.441 (2.2677) & 10.154744 \tabularnewline
0.4444 (2.25) & 3.183906 \tabularnewline
0.4479 (2.2326) & 24.614802 \tabularnewline
0.4514 (2.2154) & 1.140279 \tabularnewline
0.4549 (2.1985) & 16.752576 \tabularnewline
0.4583 (2.1818) & 0.032852 \tabularnewline
0.4618 (2.1654) & 6.245861 \tabularnewline
0.4653 (2.1493) & 15.920989 \tabularnewline
0.4687 (2.1333) & 4.827381 \tabularnewline
0.4722 (2.1176) & 4.371809 \tabularnewline
0.4757 (2.1022) & 10.905769 \tabularnewline
0.4792 (2.087) & 3.427845 \tabularnewline
0.4826 (2.0719) & 11.481947 \tabularnewline
0.4861 (2.0571) & 4.768151 \tabularnewline
0.4896 (2.0426) & 0.38416 \tabularnewline
0.4931 (2.0282) & 9.092476 \tabularnewline
0.4965 (2.014) & 7.04874 \tabularnewline
0.5 (2) & 0.046643 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266131&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]108.042451[/C][/ROW]
[ROW][C]0.0069 (144)[/C][C]111.192063[/C][/ROW]
[ROW][C]0.0104 (96)[/C][C]25.460798[/C][/ROW]
[ROW][C]0.0139 (72)[/C][C]37.356734[/C][/ROW]
[ROW][C]0.0174 (57.6)[/C][C]12.877601[/C][/ROW]
[ROW][C]0.0208 (48)[/C][C]28.053892[/C][/ROW]
[ROW][C]0.0243 (41.1429)[/C][C]13.396971[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]2.624173[/C][/ROW]
[ROW][C]0.0312 (32)[/C][C]3.766251[/C][/ROW]
[ROW][C]0.0347 (28.8)[/C][C]0.561102[/C][/ROW]
[ROW][C]0.0382 (26.1818)[/C][C]24.162831[/C][/ROW]
[ROW][C]0.0417 (24)[/C][C]11.811026[/C][/ROW]
[ROW][C]0.0451 (22.1538)[/C][C]41.182025[/C][/ROW]
[ROW][C]0.0486 (20.5714)[/C][C]13.589744[/C][/ROW]
[ROW][C]0.0521 (19.2)[/C][C]2.12429[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]12.823105[/C][/ROW]
[ROW][C]0.059 (16.9412)[/C][C]7.587435[/C][/ROW]
[ROW][C]0.0625 (16)[/C][C]23.57388[/C][/ROW]
[ROW][C]0.066 (15.1579)[/C][C]3.012366[/C][/ROW]
[ROW][C]0.0694 (14.4)[/C][C]21.136258[/C][/ROW]
[ROW][C]0.0729 (13.7143)[/C][C]27.756997[/C][/ROW]
[ROW][C]0.0764 (13.0909)[/C][C]0.511944[/C][/ROW]
[ROW][C]0.0799 (12.5217)[/C][C]12.230689[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]1.656162[/C][/ROW]
[ROW][C]0.0868 (11.52)[/C][C]14.542624[/C][/ROW]
[ROW][C]0.0903 (11.0769)[/C][C]15.71861[/C][/ROW]
[ROW][C]0.0938 (10.6667)[/C][C]9.800896[/C][/ROW]
[ROW][C]0.0972 (10.2857)[/C][C]1.150086[/C][/ROW]
[ROW][C]0.1007 (9.931)[/C][C]4.90663[/C][/ROW]
[ROW][C]0.1042 (9.6)[/C][C]0.767148[/C][/ROW]
[ROW][C]0.1076 (9.2903)[/C][C]7.638742[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]0.488665[/C][/ROW]
[ROW][C]0.1146 (8.7273)[/C][C]8.723881[/C][/ROW]
[ROW][C]0.1181 (8.4706)[/C][C]0.563735[/C][/ROW]
[ROW][C]0.1215 (8.2286)[/C][C]0.04917[/C][/ROW]
[ROW][C]0.125 (8)[/C][C]5.023896[/C][/ROW]
[ROW][C]0.1285 (7.7838)[/C][C]21.748956[/C][/ROW]
[ROW][C]0.1319 (7.5789)[/C][C]1.601332[/C][/ROW]
[ROW][C]0.1354 (7.3846)[/C][C]12.488049[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]1.564607[/C][/ROW]
[ROW][C]0.1424 (7.0244)[/C][C]2.116332[/C][/ROW]
[ROW][C]0.1458 (6.8571)[/C][C]2.158591[/C][/ROW]
[ROW][C]0.1493 (6.6977)[/C][C]4.066149[/C][/ROW]
[ROW][C]0.1528 (6.5455)[/C][C]0.592019[/C][/ROW]
[ROW][C]0.1562 (6.4)[/C][C]0.651678[/C][/ROW]
[ROW][C]0.1597 (6.2609)[/C][C]2.303013[/C][/ROW]
[ROW][C]0.1632 (6.1277)[/C][C]2.882551[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]15.043333[/C][/ROW]
[ROW][C]0.1701 (5.8776)[/C][C]0.704864[/C][/ROW]
[ROW][C]0.1736 (5.76)[/C][C]10.412204[/C][/ROW]
[ROW][C]0.1771 (5.6471)[/C][C]1.117989[/C][/ROW]
[ROW][C]0.1806 (5.5385)[/C][C]26.51049[/C][/ROW]
[ROW][C]0.184 (5.434)[/C][C]1.381717[/C][/ROW]
[ROW][C]0.1875 (5.3333)[/C][C]4.32249[/C][/ROW]
[ROW][C]0.191 (5.2364)[/C][C]4.59146[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]19.757699[/C][/ROW]
[ROW][C]0.1979 (5.0526)[/C][C]0.783831[/C][/ROW]
[ROW][C]0.2014 (4.9655)[/C][C]1.575961[/C][/ROW]
[ROW][C]0.2049 (4.8814)[/C][C]0.037341[/C][/ROW]
[ROW][C]0.2083 (4.8)[/C][C]13.106634[/C][/ROW]
[ROW][C]0.2118 (4.7213)[/C][C]27.419715[/C][/ROW]
[ROW][C]0.2153 (4.6452)[/C][C]2.713644[/C][/ROW]
[ROW][C]0.2187 (4.5714)[/C][C]11.859648[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]0.881064[/C][/ROW]
[ROW][C]0.2257 (4.4308)[/C][C]1.135233[/C][/ROW]
[ROW][C]0.2292 (4.3636)[/C][C]4.251202[/C][/ROW]
[ROW][C]0.2326 (4.2985)[/C][C]9.659449[/C][/ROW]
[ROW][C]0.2361 (4.2353)[/C][C]36.975921[/C][/ROW]
[ROW][C]0.2396 (4.1739)[/C][C]9.543365[/C][/ROW]
[ROW][C]0.2431 (4.1143)[/C][C]6.103774[/C][/ROW]
[ROW][C]0.2465 (4.0563)[/C][C]9.53466[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]2.933425[/C][/ROW]
[ROW][C]0.2535 (3.9452)[/C][C]10.644707[/C][/ROW]
[ROW][C]0.2569 (3.8919)[/C][C]2.873935[/C][/ROW]
[ROW][C]0.2604 (3.84)[/C][C]1.161149[/C][/ROW]
[ROW][C]0.2639 (3.7895)[/C][C]10.593435[/C][/ROW]
[ROW][C]0.2674 (3.7403)[/C][C]12.634579[/C][/ROW]
[ROW][C]0.2708 (3.6923)[/C][C]19.437069[/C][/ROW]
[ROW][C]0.2743 (3.6456)[/C][C]0.201591[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]9.722269[/C][/ROW]
[ROW][C]0.2812 (3.5556)[/C][C]7.087349[/C][/ROW]
[ROW][C]0.2847 (3.5122)[/C][C]3.781036[/C][/ROW]
[ROW][C]0.2882 (3.4699)[/C][C]7.570778[/C][/ROW]
[ROW][C]0.2917 (3.4286)[/C][C]2.590164[/C][/ROW]
[ROW][C]0.2951 (3.3882)[/C][C]4.906785[/C][/ROW]
[ROW][C]0.2986 (3.3488)[/C][C]2.086756[/C][/ROW]
[ROW][C]0.3021 (3.3103)[/C][C]0.520613[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]5.481069[/C][/ROW]
[ROW][C]0.309 (3.236)[/C][C]17.842569[/C][/ROW]
[ROW][C]0.3125 (3.2)[/C][C]0.417997[/C][/ROW]
[ROW][C]0.316 (3.1648)[/C][C]11.478105[/C][/ROW]
[ROW][C]0.3194 (3.1304)[/C][C]15.508864[/C][/ROW]
[ROW][C]0.3229 (3.0968)[/C][C]5.840947[/C][/ROW]
[ROW][C]0.3264 (3.0638)[/C][C]4.170682[/C][/ROW]
[ROW][C]0.3299 (3.0316)[/C][C]1.621669[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]3.096584[/C][/ROW]
[ROW][C]0.3368 (2.9691)[/C][C]10.302925[/C][/ROW]
[ROW][C]0.3403 (2.9388)[/C][C]7.116349[/C][/ROW]
[ROW][C]0.3437 (2.9091)[/C][C]14.107176[/C][/ROW]
[ROW][C]0.3472 (2.88)[/C][C]12.797452[/C][/ROW]
[ROW][C]0.3507 (2.8515)[/C][C]8.860848[/C][/ROW]
[ROW][C]0.3542 (2.8235)[/C][C]6.588457[/C][/ROW]
[ROW][C]0.3576 (2.7961)[/C][C]9.533001[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]8.387419[/C][/ROW]
[ROW][C]0.3646 (2.7429)[/C][C]11.921294[/C][/ROW]
[ROW][C]0.3681 (2.717)[/C][C]13.89914[/C][/ROW]
[ROW][C]0.3715 (2.6916)[/C][C]6.103345[/C][/ROW]
[ROW][C]0.375 (2.6667)[/C][C]12.674565[/C][/ROW]
[ROW][C]0.3785 (2.6422)[/C][C]5.727731[/C][/ROW]
[ROW][C]0.3819 (2.6182)[/C][C]7.715119[/C][/ROW]
[ROW][C]0.3854 (2.5946)[/C][C]7.862229[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]9.91304[/C][/ROW]
[ROW][C]0.3924 (2.5487)[/C][C]10.12151[/C][/ROW]
[ROW][C]0.3958 (2.5263)[/C][C]0.140451[/C][/ROW]
[ROW][C]0.3993 (2.5043)[/C][C]7.59719[/C][/ROW]
[ROW][C]0.4028 (2.4828)[/C][C]14.426673[/C][/ROW]
[ROW][C]0.4062 (2.4615)[/C][C]0.239802[/C][/ROW]
[ROW][C]0.4097 (2.4407)[/C][C]9.499869[/C][/ROW]
[ROW][C]0.4132 (2.4202)[/C][C]0.211846[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]11.029117[/C][/ROW]
[ROW][C]0.4201 (2.3802)[/C][C]0.256746[/C][/ROW]
[ROW][C]0.4236 (2.3607)[/C][C]10.842555[/C][/ROW]
[ROW][C]0.4271 (2.3415)[/C][C]0.199328[/C][/ROW]
[ROW][C]0.4306 (2.3226)[/C][C]8.552352[/C][/ROW]
[ROW][C]0.434 (2.304)[/C][C]2.897734[/C][/ROW]
[ROW][C]0.4375 (2.2857)[/C][C]3.848077[/C][/ROW]
[ROW][C]0.441 (2.2677)[/C][C]10.154744[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]3.183906[/C][/ROW]
[ROW][C]0.4479 (2.2326)[/C][C]24.614802[/C][/ROW]
[ROW][C]0.4514 (2.2154)[/C][C]1.140279[/C][/ROW]
[ROW][C]0.4549 (2.1985)[/C][C]16.752576[/C][/ROW]
[ROW][C]0.4583 (2.1818)[/C][C]0.032852[/C][/ROW]
[ROW][C]0.4618 (2.1654)[/C][C]6.245861[/C][/ROW]
[ROW][C]0.4653 (2.1493)[/C][C]15.920989[/C][/ROW]
[ROW][C]0.4687 (2.1333)[/C][C]4.827381[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]4.371809[/C][/ROW]
[ROW][C]0.4757 (2.1022)[/C][C]10.905769[/C][/ROW]
[ROW][C]0.4792 (2.087)[/C][C]3.427845[/C][/ROW]
[ROW][C]0.4826 (2.0719)[/C][C]11.481947[/C][/ROW]
[ROW][C]0.4861 (2.0571)[/C][C]4.768151[/C][/ROW]
[ROW][C]0.4896 (2.0426)[/C][C]0.38416[/C][/ROW]
[ROW][C]0.4931 (2.0282)[/C][C]9.092476[/C][/ROW]
[ROW][C]0.4965 (2.014)[/C][C]7.04874[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.046643[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266131&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266131&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)108.042451
0.0069 (144)111.192063
0.0104 (96)25.460798
0.0139 (72)37.356734
0.0174 (57.6)12.877601
0.0208 (48)28.053892
0.0243 (41.1429)13.396971
0.0278 (36)2.624173
0.0312 (32)3.766251
0.0347 (28.8)0.561102
0.0382 (26.1818)24.162831
0.0417 (24)11.811026
0.0451 (22.1538)41.182025
0.0486 (20.5714)13.589744
0.0521 (19.2)2.12429
0.0556 (18)12.823105
0.059 (16.9412)7.587435
0.0625 (16)23.57388
0.066 (15.1579)3.012366
0.0694 (14.4)21.136258
0.0729 (13.7143)27.756997
0.0764 (13.0909)0.511944
0.0799 (12.5217)12.230689
0.0833 (12)1.656162
0.0868 (11.52)14.542624
0.0903 (11.0769)15.71861
0.0938 (10.6667)9.800896
0.0972 (10.2857)1.150086
0.1007 (9.931)4.90663
0.1042 (9.6)0.767148
0.1076 (9.2903)7.638742
0.1111 (9)0.488665
0.1146 (8.7273)8.723881
0.1181 (8.4706)0.563735
0.1215 (8.2286)0.04917
0.125 (8)5.023896
0.1285 (7.7838)21.748956
0.1319 (7.5789)1.601332
0.1354 (7.3846)12.488049
0.1389 (7.2)1.564607
0.1424 (7.0244)2.116332
0.1458 (6.8571)2.158591
0.1493 (6.6977)4.066149
0.1528 (6.5455)0.592019
0.1562 (6.4)0.651678
0.1597 (6.2609)2.303013
0.1632 (6.1277)2.882551
0.1667 (6)15.043333
0.1701 (5.8776)0.704864
0.1736 (5.76)10.412204
0.1771 (5.6471)1.117989
0.1806 (5.5385)26.51049
0.184 (5.434)1.381717
0.1875 (5.3333)4.32249
0.191 (5.2364)4.59146
0.1944 (5.1429)19.757699
0.1979 (5.0526)0.783831
0.2014 (4.9655)1.575961
0.2049 (4.8814)0.037341
0.2083 (4.8)13.106634
0.2118 (4.7213)27.419715
0.2153 (4.6452)2.713644
0.2187 (4.5714)11.859648
0.2222 (4.5)0.881064
0.2257 (4.4308)1.135233
0.2292 (4.3636)4.251202
0.2326 (4.2985)9.659449
0.2361 (4.2353)36.975921
0.2396 (4.1739)9.543365
0.2431 (4.1143)6.103774
0.2465 (4.0563)9.53466
0.25 (4)2.933425
0.2535 (3.9452)10.644707
0.2569 (3.8919)2.873935
0.2604 (3.84)1.161149
0.2639 (3.7895)10.593435
0.2674 (3.7403)12.634579
0.2708 (3.6923)19.437069
0.2743 (3.6456)0.201591
0.2778 (3.6)9.722269
0.2812 (3.5556)7.087349
0.2847 (3.5122)3.781036
0.2882 (3.4699)7.570778
0.2917 (3.4286)2.590164
0.2951 (3.3882)4.906785
0.2986 (3.3488)2.086756
0.3021 (3.3103)0.520613
0.3056 (3.2727)5.481069
0.309 (3.236)17.842569
0.3125 (3.2)0.417997
0.316 (3.1648)11.478105
0.3194 (3.1304)15.508864
0.3229 (3.0968)5.840947
0.3264 (3.0638)4.170682
0.3299 (3.0316)1.621669
0.3333 (3)3.096584
0.3368 (2.9691)10.302925
0.3403 (2.9388)7.116349
0.3437 (2.9091)14.107176
0.3472 (2.88)12.797452
0.3507 (2.8515)8.860848
0.3542 (2.8235)6.588457
0.3576 (2.7961)9.533001
0.3611 (2.7692)8.387419
0.3646 (2.7429)11.921294
0.3681 (2.717)13.89914
0.3715 (2.6916)6.103345
0.375 (2.6667)12.674565
0.3785 (2.6422)5.727731
0.3819 (2.6182)7.715119
0.3854 (2.5946)7.862229
0.3889 (2.5714)9.91304
0.3924 (2.5487)10.12151
0.3958 (2.5263)0.140451
0.3993 (2.5043)7.59719
0.4028 (2.4828)14.426673
0.4062 (2.4615)0.239802
0.4097 (2.4407)9.499869
0.4132 (2.4202)0.211846
0.4167 (2.4)11.029117
0.4201 (2.3802)0.256746
0.4236 (2.3607)10.842555
0.4271 (2.3415)0.199328
0.4306 (2.3226)8.552352
0.434 (2.304)2.897734
0.4375 (2.2857)3.848077
0.441 (2.2677)10.154744
0.4444 (2.25)3.183906
0.4479 (2.2326)24.614802
0.4514 (2.2154)1.140279
0.4549 (2.1985)16.752576
0.4583 (2.1818)0.032852
0.4618 (2.1654)6.245861
0.4653 (2.1493)15.920989
0.4687 (2.1333)4.827381
0.4722 (2.1176)4.371809
0.4757 (2.1022)10.905769
0.4792 (2.087)3.427845
0.4826 (2.0719)11.481947
0.4861 (2.0571)4.768151
0.4896 (2.0426)0.38416
0.4931 (2.0282)9.092476
0.4965 (2.014)7.04874
0.5 (2)0.046643


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')