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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 computationMon, 03 Dec 2012 15:02:49 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/03/t1354564991whuyadoj2prrkk9.htm/, Retrieved Fri, 01 Nov 2024 00:10:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=196002, Retrieved Fri, 01 Nov 2024 00:10:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Workshop 9 - auto...] [2012-12-03 19:55:49] [c85dbc843174c8f40de92b1c92b5205a]
- R P   [(Partial) Autocorrelation Function] [Workshop 9 - auto...] [2012-12-03 19:57:39] [c85dbc843174c8f40de92b1c92b5205a]
- RMP       [Spectral Analysis] [Workshop 9 - peri...] [2012-12-03 20:02:49] [729cfeb7382ca95684eaaf6b24800101] [Current]
- R P         [Spectral Analysis] [Workshop 9 - peri...] [2012-12-03 20:04:57] [c85dbc843174c8f40de92b1c92b5205a]
- RMP           [Variance Reduction Matrix] [Workshop 9 - vari...] [2012-12-03 20:17:14] [c85dbc843174c8f40de92b1c92b5205a]
- RMP           [Standard Deviation-Mean Plot] [Workshop 9 - mean...] [2012-12-03 20:19:24] [c85dbc843174c8f40de92b1c92b5205a]
- RMP           [ARIMA Backward Selection] [Workshop 9 - ARIM...] [2012-12-03 20:32:52] [c85dbc843174c8f40de92b1c92b5205a]
-   P             [ARIMA Backward Selection] [Workshop 9 - ARIM...] [2012-12-04 11:24:44] [c85dbc843174c8f40de92b1c92b5205a]
- RMP             [Skewness and Kurtosis Test] [Workshop 9 - skew...] [2012-12-04 11:43:19] [c85dbc843174c8f40de92b1c92b5205a]
- RMP             [ARIMA Forecasting] [Workshop 9 - ARIM...] [2012-12-04 11:52:28] [c85dbc843174c8f40de92b1c92b5205a]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
178421
139871
118159
109763
97415
119190
97903
96953
87888
84637
90549
95680
99371
79984
86752
85733
84906
78356
108895
101768
73285
65724
67457
67203
69273
80807
75129
74991
68157
73858
71349
85634
91624
116014
120033
108651
105378
138939
132974
135277
152741
158417
157460
193997
154089
147570
162924
153629
155907
197675
250708
266652
209842
165826
137152
150581
145973
126532
115437
119526
110856
97243
103876
116370
109616
98365
90440
88899
92358
88394
98219
113546
107168
77540
74944
75641
75910
87384
84615
80420
80784
79933
82118
91420
112426
114528
131025
116460
111258
155318
155078
134794
139985
198778
172436
169585
203702
282392
220658
194472
269246
215340
218319
195724
174614
172085
152347
189615
173804
145683
133550
121156
112040
120767
127019
136295
113425
107815
100298
97048
98750
98235
101254
139589
134921
80355
80396
82183
79709
90781

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=196002&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=196002&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=196002&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'George Udny Yule' @ yule.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)4
Frequency (Period)Spectrum
0.0074 (135)3525259410.90359
0.0148 (67.5)35712179876.5681
0.0222 (45)62291699777.5373
0.0296 (33.75)1956307003.49345
0.037 (27)8572085310.09423
0.0444 (22.5)1233001309.87145
0.0519 (19.2857)185676625.096624
0.0593 (16.875)1811783134.89712
0.0667 (15)1681770317.90052
0.0741 (13.5)25725079.398328
0.0815 (12.2727)1340896819.35017
0.0889 (11.25)1081194932.53512
0.0963 (10.3846)351371713.759338
0.1037 (9.6429)921059627.50807
0.1111 (9)1390285671.67231
0.1185 (8.4375)358574499.349877
0.1259 (7.9412)1113907349.04197
0.1333 (7.5)1047867078.3015
0.1407 (7.1053)662246110.029469
0.1481 (6.75)377367557.819684
0.1556 (6.4286)1836489326.75355
0.163 (6.1364)26879184.309803
0.1704 (5.8696)249574043.244944
0.1778 (5.625)469050956.270647
0.1852 (5.4)57586733.625105
0.1926 (5.1923)328953901.37378
0.2 (5)39542037.590892
0.2074 (4.8214)54948562.609852
0.2148 (4.6552)261468899.224999
0.2222 (4.5)190976989.784905
0.2296 (4.3548)525107697.717918
0.237 (4.2188)842628111.992024
0.2444 (4.0909)279882895.192702
0.2519 (3.9706)62908106.731338
0.2593 (3.8571)423043631.199603
0.2667 (3.75)967503118.112617
0.2741 (3.6486)304184865.26257
0.2815 (3.5526)1005540527.87987
0.2889 (3.4615)138645121.048261
0.2963 (3.375)608369248.102739
0.3037 (3.2927)392730020.145703
0.3111 (3.2143)46747062.246128
0.3185 (3.1395)465870246.458539
0.3259 (3.0682)93347184.995998
0.3333 (3)91875554.269252
0.3407 (2.9348)2735240.615657
0.3481 (2.8723)149783236.794039
0.3556 (2.8125)86553478.765263
0.363 (2.7551)17181740.378312
0.3704 (2.7)245955724.104847
0.3778 (2.6471)76520120.559443
0.3852 (2.5962)296248163.505387
0.3926 (2.5472)166501378.170031
0.4 (2.5)127328168.644942
0.4074 (2.4545)164893330.862934
0.4148 (2.4107)27893773.261966
0.4222 (2.3684)184744956.194489
0.4296 (2.3276)159789359.9789
0.437 (2.2881)71611826.781054
0.4444 (2.25)151516547.593099
0.4519 (2.2131)100239069.832518
0.4593 (2.1774)15792306.041233
0.4667 (2.1429)77805014.294434
0.4741 (2.1094)16214203.479625
0.4815 (2.0769)69160040.103704
0.4889 (2.0455)36130515.097687
0.4963 (2.0149)73736799.968135

\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) & 4 \tabularnewline
Frequency (Period) & Spectrum \tabularnewline
0.0074 (135) & 3525259410.90359 \tabularnewline
0.0148 (67.5) & 35712179876.5681 \tabularnewline
0.0222 (45) & 62291699777.5373 \tabularnewline
0.0296 (33.75) & 1956307003.49345 \tabularnewline
0.037 (27) & 8572085310.09423 \tabularnewline
0.0444 (22.5) & 1233001309.87145 \tabularnewline
0.0519 (19.2857) & 185676625.096624 \tabularnewline
0.0593 (16.875) & 1811783134.89712 \tabularnewline
0.0667 (15) & 1681770317.90052 \tabularnewline
0.0741 (13.5) & 25725079.398328 \tabularnewline
0.0815 (12.2727) & 1340896819.35017 \tabularnewline
0.0889 (11.25) & 1081194932.53512 \tabularnewline
0.0963 (10.3846) & 351371713.759338 \tabularnewline
0.1037 (9.6429) & 921059627.50807 \tabularnewline
0.1111 (9) & 1390285671.67231 \tabularnewline
0.1185 (8.4375) & 358574499.349877 \tabularnewline
0.1259 (7.9412) & 1113907349.04197 \tabularnewline
0.1333 (7.5) & 1047867078.3015 \tabularnewline
0.1407 (7.1053) & 662246110.029469 \tabularnewline
0.1481 (6.75) & 377367557.819684 \tabularnewline
0.1556 (6.4286) & 1836489326.75355 \tabularnewline
0.163 (6.1364) & 26879184.309803 \tabularnewline
0.1704 (5.8696) & 249574043.244944 \tabularnewline
0.1778 (5.625) & 469050956.270647 \tabularnewline
0.1852 (5.4) & 57586733.625105 \tabularnewline
0.1926 (5.1923) & 328953901.37378 \tabularnewline
0.2 (5) & 39542037.590892 \tabularnewline
0.2074 (4.8214) & 54948562.609852 \tabularnewline
0.2148 (4.6552) & 261468899.224999 \tabularnewline
0.2222 (4.5) & 190976989.784905 \tabularnewline
0.2296 (4.3548) & 525107697.717918 \tabularnewline
0.237 (4.2188) & 842628111.992024 \tabularnewline
0.2444 (4.0909) & 279882895.192702 \tabularnewline
0.2519 (3.9706) & 62908106.731338 \tabularnewline
0.2593 (3.8571) & 423043631.199603 \tabularnewline
0.2667 (3.75) & 967503118.112617 \tabularnewline
0.2741 (3.6486) & 304184865.26257 \tabularnewline
0.2815 (3.5526) & 1005540527.87987 \tabularnewline
0.2889 (3.4615) & 138645121.048261 \tabularnewline
0.2963 (3.375) & 608369248.102739 \tabularnewline
0.3037 (3.2927) & 392730020.145703 \tabularnewline
0.3111 (3.2143) & 46747062.246128 \tabularnewline
0.3185 (3.1395) & 465870246.458539 \tabularnewline
0.3259 (3.0682) & 93347184.995998 \tabularnewline
0.3333 (3) & 91875554.269252 \tabularnewline
0.3407 (2.9348) & 2735240.615657 \tabularnewline
0.3481 (2.8723) & 149783236.794039 \tabularnewline
0.3556 (2.8125) & 86553478.765263 \tabularnewline
0.363 (2.7551) & 17181740.378312 \tabularnewline
0.3704 (2.7) & 245955724.104847 \tabularnewline
0.3778 (2.6471) & 76520120.559443 \tabularnewline
0.3852 (2.5962) & 296248163.505387 \tabularnewline
0.3926 (2.5472) & 166501378.170031 \tabularnewline
0.4 (2.5) & 127328168.644942 \tabularnewline
0.4074 (2.4545) & 164893330.862934 \tabularnewline
0.4148 (2.4107) & 27893773.261966 \tabularnewline
0.4222 (2.3684) & 184744956.194489 \tabularnewline
0.4296 (2.3276) & 159789359.9789 \tabularnewline
0.437 (2.2881) & 71611826.781054 \tabularnewline
0.4444 (2.25) & 151516547.593099 \tabularnewline
0.4519 (2.2131) & 100239069.832518 \tabularnewline
0.4593 (2.1774) & 15792306.041233 \tabularnewline
0.4667 (2.1429) & 77805014.294434 \tabularnewline
0.4741 (2.1094) & 16214203.479625 \tabularnewline
0.4815 (2.0769) & 69160040.103704 \tabularnewline
0.4889 (2.0455) & 36130515.097687 \tabularnewline
0.4963 (2.0149) & 73736799.968135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=196002&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]4[/C][/ROW]
[ROW][C]Frequency (Period)[/C][C]Spectrum[/C][/ROW]
[ROW][C]0.0074 (135)[/C][C]3525259410.90359[/C][/ROW]
[ROW][C]0.0148 (67.5)[/C][C]35712179876.5681[/C][/ROW]
[ROW][C]0.0222 (45)[/C][C]62291699777.5373[/C][/ROW]
[ROW][C]0.0296 (33.75)[/C][C]1956307003.49345[/C][/ROW]
[ROW][C]0.037 (27)[/C][C]8572085310.09423[/C][/ROW]
[ROW][C]0.0444 (22.5)[/C][C]1233001309.87145[/C][/ROW]
[ROW][C]0.0519 (19.2857)[/C][C]185676625.096624[/C][/ROW]
[ROW][C]0.0593 (16.875)[/C][C]1811783134.89712[/C][/ROW]
[ROW][C]0.0667 (15)[/C][C]1681770317.90052[/C][/ROW]
[ROW][C]0.0741 (13.5)[/C][C]25725079.398328[/C][/ROW]
[ROW][C]0.0815 (12.2727)[/C][C]1340896819.35017[/C][/ROW]
[ROW][C]0.0889 (11.25)[/C][C]1081194932.53512[/C][/ROW]
[ROW][C]0.0963 (10.3846)[/C][C]351371713.759338[/C][/ROW]
[ROW][C]0.1037 (9.6429)[/C][C]921059627.50807[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]1390285671.67231[/C][/ROW]
[ROW][C]0.1185 (8.4375)[/C][C]358574499.349877[/C][/ROW]
[ROW][C]0.1259 (7.9412)[/C][C]1113907349.04197[/C][/ROW]
[ROW][C]0.1333 (7.5)[/C][C]1047867078.3015[/C][/ROW]
[ROW][C]0.1407 (7.1053)[/C][C]662246110.029469[/C][/ROW]
[ROW][C]0.1481 (6.75)[/C][C]377367557.819684[/C][/ROW]
[ROW][C]0.1556 (6.4286)[/C][C]1836489326.75355[/C][/ROW]
[ROW][C]0.163 (6.1364)[/C][C]26879184.309803[/C][/ROW]
[ROW][C]0.1704 (5.8696)[/C][C]249574043.244944[/C][/ROW]
[ROW][C]0.1778 (5.625)[/C][C]469050956.270647[/C][/ROW]
[ROW][C]0.1852 (5.4)[/C][C]57586733.625105[/C][/ROW]
[ROW][C]0.1926 (5.1923)[/C][C]328953901.37378[/C][/ROW]
[ROW][C]0.2 (5)[/C][C]39542037.590892[/C][/ROW]
[ROW][C]0.2074 (4.8214)[/C][C]54948562.609852[/C][/ROW]
[ROW][C]0.2148 (4.6552)[/C][C]261468899.224999[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]190976989.784905[/C][/ROW]
[ROW][C]0.2296 (4.3548)[/C][C]525107697.717918[/C][/ROW]
[ROW][C]0.237 (4.2188)[/C][C]842628111.992024[/C][/ROW]
[ROW][C]0.2444 (4.0909)[/C][C]279882895.192702[/C][/ROW]
[ROW][C]0.2519 (3.9706)[/C][C]62908106.731338[/C][/ROW]
[ROW][C]0.2593 (3.8571)[/C][C]423043631.199603[/C][/ROW]
[ROW][C]0.2667 (3.75)[/C][C]967503118.112617[/C][/ROW]
[ROW][C]0.2741 (3.6486)[/C][C]304184865.26257[/C][/ROW]
[ROW][C]0.2815 (3.5526)[/C][C]1005540527.87987[/C][/ROW]
[ROW][C]0.2889 (3.4615)[/C][C]138645121.048261[/C][/ROW]
[ROW][C]0.2963 (3.375)[/C][C]608369248.102739[/C][/ROW]
[ROW][C]0.3037 (3.2927)[/C][C]392730020.145703[/C][/ROW]
[ROW][C]0.3111 (3.2143)[/C][C]46747062.246128[/C][/ROW]
[ROW][C]0.3185 (3.1395)[/C][C]465870246.458539[/C][/ROW]
[ROW][C]0.3259 (3.0682)[/C][C]93347184.995998[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]91875554.269252[/C][/ROW]
[ROW][C]0.3407 (2.9348)[/C][C]2735240.615657[/C][/ROW]
[ROW][C]0.3481 (2.8723)[/C][C]149783236.794039[/C][/ROW]
[ROW][C]0.3556 (2.8125)[/C][C]86553478.765263[/C][/ROW]
[ROW][C]0.363 (2.7551)[/C][C]17181740.378312[/C][/ROW]
[ROW][C]0.3704 (2.7)[/C][C]245955724.104847[/C][/ROW]
[ROW][C]0.3778 (2.6471)[/C][C]76520120.559443[/C][/ROW]
[ROW][C]0.3852 (2.5962)[/C][C]296248163.505387[/C][/ROW]
[ROW][C]0.3926 (2.5472)[/C][C]166501378.170031[/C][/ROW]
[ROW][C]0.4 (2.5)[/C][C]127328168.644942[/C][/ROW]
[ROW][C]0.4074 (2.4545)[/C][C]164893330.862934[/C][/ROW]
[ROW][C]0.4148 (2.4107)[/C][C]27893773.261966[/C][/ROW]
[ROW][C]0.4222 (2.3684)[/C][C]184744956.194489[/C][/ROW]
[ROW][C]0.4296 (2.3276)[/C][C]159789359.9789[/C][/ROW]
[ROW][C]0.437 (2.2881)[/C][C]71611826.781054[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]151516547.593099[/C][/ROW]
[ROW][C]0.4519 (2.2131)[/C][C]100239069.832518[/C][/ROW]
[ROW][C]0.4593 (2.1774)[/C][C]15792306.041233[/C][/ROW]
[ROW][C]0.4667 (2.1429)[/C][C]77805014.294434[/C][/ROW]
[ROW][C]0.4741 (2.1094)[/C][C]16214203.479625[/C][/ROW]
[ROW][C]0.4815 (2.0769)[/C][C]69160040.103704[/C][/ROW]
[ROW][C]0.4889 (2.0455)[/C][C]36130515.097687[/C][/ROW]
[ROW][C]0.4963 (2.0149)[/C][C]73736799.968135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=196002&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=196002&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)4
Frequency (Period)Spectrum
0.0074 (135)3525259410.90359
0.0148 (67.5)35712179876.5681
0.0222 (45)62291699777.5373
0.0296 (33.75)1956307003.49345
0.037 (27)8572085310.09423
0.0444 (22.5)1233001309.87145
0.0519 (19.2857)185676625.096624
0.0593 (16.875)1811783134.89712
0.0667 (15)1681770317.90052
0.0741 (13.5)25725079.398328
0.0815 (12.2727)1340896819.35017
0.0889 (11.25)1081194932.53512
0.0963 (10.3846)351371713.759338
0.1037 (9.6429)921059627.50807
0.1111 (9)1390285671.67231
0.1185 (8.4375)358574499.349877
0.1259 (7.9412)1113907349.04197
0.1333 (7.5)1047867078.3015
0.1407 (7.1053)662246110.029469
0.1481 (6.75)377367557.819684
0.1556 (6.4286)1836489326.75355
0.163 (6.1364)26879184.309803
0.1704 (5.8696)249574043.244944
0.1778 (5.625)469050956.270647
0.1852 (5.4)57586733.625105
0.1926 (5.1923)328953901.37378
0.2 (5)39542037.590892
0.2074 (4.8214)54948562.609852
0.2148 (4.6552)261468899.224999
0.2222 (4.5)190976989.784905
0.2296 (4.3548)525107697.717918
0.237 (4.2188)842628111.992024
0.2444 (4.0909)279882895.192702
0.2519 (3.9706)62908106.731338
0.2593 (3.8571)423043631.199603
0.2667 (3.75)967503118.112617
0.2741 (3.6486)304184865.26257
0.2815 (3.5526)1005540527.87987
0.2889 (3.4615)138645121.048261
0.2963 (3.375)608369248.102739
0.3037 (3.2927)392730020.145703
0.3111 (3.2143)46747062.246128
0.3185 (3.1395)465870246.458539
0.3259 (3.0682)93347184.995998
0.3333 (3)91875554.269252
0.3407 (2.9348)2735240.615657
0.3481 (2.8723)149783236.794039
0.3556 (2.8125)86553478.765263
0.363 (2.7551)17181740.378312
0.3704 (2.7)245955724.104847
0.3778 (2.6471)76520120.559443
0.3852 (2.5962)296248163.505387
0.3926 (2.5472)166501378.170031
0.4 (2.5)127328168.644942
0.4074 (2.4545)164893330.862934
0.4148 (2.4107)27893773.261966
0.4222 (2.3684)184744956.194489
0.4296 (2.3276)159789359.9789
0.437 (2.2881)71611826.781054
0.4444 (2.25)151516547.593099
0.4519 (2.2131)100239069.832518
0.4593 (2.1774)15792306.041233
0.4667 (2.1429)77805014.294434
0.4741 (2.1094)16214203.479625
0.4815 (2.0769)69160040.103704
0.4889 (2.0455)36130515.097687
0.4963 (2.0149)73736799.968135


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 4 ;
Parameters (R input):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 4 ;
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')