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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_spectrum.wasp
Title produced by softwareSpectral Analysis
Date of computationTue, 09 Dec 2008 04:08:44 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/09/t1228820988tupajqrc3k9c633.htm/, Retrieved Sat, 18 May 2024 04:26:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31293, Retrieved Sat, 18 May 2024 04:26:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Spectral Analysis] [] [2008-12-04 19:46:17] [03c8f0b5f6fe0fafd3d60ad5379ae7bd]
F   PD    [Spectral Analysis] [] [2008-12-09 11:08:44] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum
2008-12-13 13:32:24 [Ken Wright] [reply] 
correct, je zou ook nog gebruik kunnen gemaakt hebben van de tabel die je krijgt zo zal je zien dat bij heel waarden zoals bij 12;24;36 een veel kleinere waarde staat als daarvoor wanneer er nog niet gedifferentieerd was.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41130
43144
46195
40033
31710
42297
33889
23495
27060
31160
22214
16905
34388
29982
36374
37630
31023
39875
28866
20205
26082
28209
22813
15296
27796
31813
42513
41222
29094
28948
23230
21308
20649
23666
19206
16361
30472
25051
39393
32091
31007
32998
22809
20439
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29161
22149
15485
36181
39545
37955
31854
29788
31435
22504
19540
21893
29556
21811
13729
31332
31434
38812
36154
32820
32301
30358
20724
21056
30077
22411
16758
37243
41795
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42557
21507
43211
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21440
25307
34050
21970
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28764
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39457
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49419
37128
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35685
44559
37584
34670
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28309
17417
45465
44651
47947
43458
37744
39730
29903
24284
37981
32001
32273
23314
43522
33000
43685
45838
39741
42522
37318
26920
28651
35646
26312
20442
46402
45329
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50472
33020
29567
22870
25730
32609
23536
15135
36776
29982
38062
34226
24906
30233
27405
20784
22886
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20838
15655
37158
36364
43213
31635
30113
29985
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19429
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20109
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35466
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33504
28115
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28618
21434
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21484
25642
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12941
36190
37785
38407
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30304
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19426
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28628
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33614
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22916
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37863
35953
29133
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21725
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13253
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32609
30212
29965
28352
25814
22414
20506
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22228
13971
36845
35338
35022
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22780
17351
21382
24561
17409
11514
31514
27071
29462
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18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
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22405
27044
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18730
19684
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31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31293&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31293&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31293&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Raw Periodogram
ParameterValue
Box-Cox transformation parameter (lambda)0
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0031 (324)0.04817
0.0062 (162)0.156233
0.0093 (108)0.167133
0.0123 (81)0.044453
0.0154 (64.8)0.018724
0.0185 (54)0.067104
0.0216 (46.2857)0.051454
0.0247 (40.5)0.01871
0.0278 (36)0.014016
0.0309 (32.4)0.020084
0.034 (29.4545)0.069846
0.037 (27)0.026307
0.0401 (24.9231)0.351729
0.0432 (23.1429)0.175454
0.0463 (21.6)0.044484
0.0494 (20.25)0.040058
0.0525 (19.0588)0.015664
0.0556 (18)0.022751
0.0586 (17.0526)0.002298
0.0617 (16.2)0.006381
0.0648 (15.4286)0.007416
0.0679 (14.7273)0.007554
0.071 (14.087)0.008153
0.0741 (13.5)0.000257
0.0772 (12.96)0.003882
0.0802 (12.4615)0.000171
0.0833 (12)0.000702
0.0864 (11.5714)0.000129
0.0895 (11.1724)0.003464
0.0926 (10.8)0.009435
0.0957 (10.4516)0.005406
0.0988 (10.125)0.004688
0.1019 (9.8182)0.005203
0.1049 (9.5294)0.008887
0.108 (9.2571)0.020926
0.1111 (9)0.012417
0.1142 (8.7568)0.008075
0.1173 (8.5263)0.005701
0.1204 (8.3077)0.026296
0.1235 (8.1)0.25651
0.1265 (7.9024)0.07143
0.1296 (7.7143)0.008218
0.1327 (7.5349)0.084581
0.1358 (7.3636)0.056701
0.1389 (7.2)0.007591
0.142 (7.0435)0.022886
0.1451 (6.8936)0.000185
0.1481 (6.75)0.019903
0.1512 (6.6122)0.000519
0.1543 (6.48)0.007894
0.1574 (6.3529)0.001613
0.1605 (6.2308)0.002867
0.1636 (6.1132)0.000149
0.1667 (6)0.000681
0.1698 (5.8909)0.000609
0.1728 (5.7857)0.002173
0.1759 (5.6842)0.002226
0.179 (5.5862)0.000364
0.1821 (5.4915)0.00476
0.1852 (5.4)0.003591
0.1883 (5.3115)0.008929
0.1914 (5.2258)0.013494
0.1944 (5.1429)0.026403
0.1975 (5.0625)0.044428
0.2006 (4.9846)0.021895
0.2037 (4.9091)0.005489
0.2068 (4.8358)0.03239
0.2099 (4.7647)0.02802
0.213 (4.6957)0.03915
0.216 (4.6286)0.028232
0.2191 (4.5634)0.047976
0.2222 (4.5)0.039059
0.2253 (4.4384)0.001694
0.2284 (4.3784)0.006357
0.2315 (4.32)0.011967
0.2346 (4.2632)0.024202
0.2377 (4.2078)0.00645
0.2407 (4.1538)0.007866
0.2438 (4.1013)0.005217
0.2469 (4.05)1.8e-05
0.25 (4)0.000701
0.2531 (3.9512)0.000824
0.2562 (3.9036)0.001852
0.2593 (3.8571)0.005246
0.2623 (3.8118)0.001674
0.2654 (3.7674)0.002481
0.2685 (3.7241)0.007344
0.2716 (3.6818)0.000665
0.2747 (3.6404)0.005365
0.2778 (3.6)0.010654
0.2809 (3.5604)0.059948
0.284 (3.5217)0.040404
0.287 (3.4839)0.001912
0.2901 (3.4468)0.056758
0.2932 (3.4105)0.040576
0.2963 (3.375)0.02225
0.2994 (3.3402)0.004361
0.3025 (3.3061)0.014407
0.3056 (3.2727)0.003714
0.3086 (3.24)0.013097
0.3117 (3.2079)0.015207
0.3148 (3.1765)0.026974
0.3179 (3.1456)0.009058
0.321 (3.1154)0.009898
0.3241 (3.0857)0.000158
0.3272 (3.0566)0.001274
0.3302 (3.028)0.000286
0.3333 (3)0.000958
0.3364 (2.9725)0.001248
0.3395 (2.9455)0.004497
0.3426 (2.9189)0.017473
0.3457 (2.8929)0.002736
0.3488 (2.8673)0.117131
0.3519 (2.8421)0.014142
0.3549 (2.8174)0.018316
0.358 (2.7931)0.031542
0.3611 (2.7692)0.007178
0.3642 (2.7458)0.024278
0.3673 (2.7227)0.006743
0.3704 (2.7)0.035876
0.3735 (2.6777)0.102814
0.3765 (2.6557)0.003119
0.3796 (2.6341)0.029359
0.3827 (2.6129)0.011296
0.3858 (2.592)0.00011
0.3889 (2.5714)0.079691
0.392 (2.5512)0.015271
0.3951 (2.5312)0.009578
0.3981 (2.5116)0.021434
0.4012 (2.4923)0.066343
0.4043 (2.4733)0.002448
0.4074 (2.4545)0.001097
0.4105 (2.4361)0.000387
0.4136 (2.4179)0.00054
0.4167 (2.4)0.000764
0.4198 (2.3824)0.000659
0.4228 (2.365)6e-04
0.4259 (2.3478)0.011126
0.429 (2.3309)0.007395
0.4321 (2.3143)0.02544
0.4352 (2.2979)0.000623
0.4383 (2.2817)0.019802
0.4414 (2.2657)0.004003
0.4444 (2.25)0.000195
0.4475 (2.2345)0.006694
0.4506 (2.2192)0.02514
0.4537 (2.2041)0.057691
0.4568 (2.1892)0.060392
0.4599 (2.1745)0.003836
0.463 (2.16)0.017574
0.466 (2.1457)0.048154
0.4691 (2.1316)0.054053
0.4722 (2.1176)0.073963
0.4753 (2.1039)0.004742
0.4784 (2.0903)0.026994
0.4815 (2.0769)0.006097
0.4846 (2.0637)0.004084
0.4877 (2.0506)0.002628
0.4907 (2.0377)0.004712
0.4938 (2.025)0.001128
0.4969 (2.0124)0.000539
0.5 (2)0.00075

\begin{tabular}{lllllllll}
\hline
Raw Periodogram \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) & 0 \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
0.0031 (324) & 0.04817 \tabularnewline
0.0062 (162) & 0.156233 \tabularnewline
0.0093 (108) & 0.167133 \tabularnewline
0.0123 (81) & 0.044453 \tabularnewline
0.0154 (64.8) & 0.018724 \tabularnewline
0.0185 (54) & 0.067104 \tabularnewline
0.0216 (46.2857) & 0.051454 \tabularnewline
0.0247 (40.5) & 0.01871 \tabularnewline
0.0278 (36) & 0.014016 \tabularnewline
0.0309 (32.4) & 0.020084 \tabularnewline
0.034 (29.4545) & 0.069846 \tabularnewline
0.037 (27) & 0.026307 \tabularnewline
0.0401 (24.9231) & 0.351729 \tabularnewline
0.0432 (23.1429) & 0.175454 \tabularnewline
0.0463 (21.6) & 0.044484 \tabularnewline
0.0494 (20.25) & 0.040058 \tabularnewline
0.0525 (19.0588) & 0.015664 \tabularnewline
0.0556 (18) & 0.022751 \tabularnewline
0.0586 (17.0526) & 0.002298 \tabularnewline
0.0617 (16.2) & 0.006381 \tabularnewline
0.0648 (15.4286) & 0.007416 \tabularnewline
0.0679 (14.7273) & 0.007554 \tabularnewline
0.071 (14.087) & 0.008153 \tabularnewline
0.0741 (13.5) & 0.000257 \tabularnewline
0.0772 (12.96) & 0.003882 \tabularnewline
0.0802 (12.4615) & 0.000171 \tabularnewline
0.0833 (12) & 0.000702 \tabularnewline
0.0864 (11.5714) & 0.000129 \tabularnewline
0.0895 (11.1724) & 0.003464 \tabularnewline
0.0926 (10.8) & 0.009435 \tabularnewline
0.0957 (10.4516) & 0.005406 \tabularnewline
0.0988 (10.125) & 0.004688 \tabularnewline
0.1019 (9.8182) & 0.005203 \tabularnewline
0.1049 (9.5294) & 0.008887 \tabularnewline
0.108 (9.2571) & 0.020926 \tabularnewline
0.1111 (9) & 0.012417 \tabularnewline
0.1142 (8.7568) & 0.008075 \tabularnewline
0.1173 (8.5263) & 0.005701 \tabularnewline
0.1204 (8.3077) & 0.026296 \tabularnewline
0.1235 (8.1) & 0.25651 \tabularnewline
0.1265 (7.9024) & 0.07143 \tabularnewline
0.1296 (7.7143) & 0.008218 \tabularnewline
0.1327 (7.5349) & 0.084581 \tabularnewline
0.1358 (7.3636) & 0.056701 \tabularnewline
0.1389 (7.2) & 0.007591 \tabularnewline
0.142 (7.0435) & 0.022886 \tabularnewline
0.1451 (6.8936) & 0.000185 \tabularnewline
0.1481 (6.75) & 0.019903 \tabularnewline
0.1512 (6.6122) & 0.000519 \tabularnewline
0.1543 (6.48) & 0.007894 \tabularnewline
0.1574 (6.3529) & 0.001613 \tabularnewline
0.1605 (6.2308) & 0.002867 \tabularnewline
0.1636 (6.1132) & 0.000149 \tabularnewline
0.1667 (6) & 0.000681 \tabularnewline
0.1698 (5.8909) & 0.000609 \tabularnewline
0.1728 (5.7857) & 0.002173 \tabularnewline
0.1759 (5.6842) & 0.002226 \tabularnewline
0.179 (5.5862) & 0.000364 \tabularnewline
0.1821 (5.4915) & 0.00476 \tabularnewline
0.1852 (5.4) & 0.003591 \tabularnewline
0.1883 (5.3115) & 0.008929 \tabularnewline
0.1914 (5.2258) & 0.013494 \tabularnewline
0.1944 (5.1429) & 0.026403 \tabularnewline
0.1975 (5.0625) & 0.044428 \tabularnewline
0.2006 (4.9846) & 0.021895 \tabularnewline
0.2037 (4.9091) & 0.005489 \tabularnewline
0.2068 (4.8358) & 0.03239 \tabularnewline
0.2099 (4.7647) & 0.02802 \tabularnewline
0.213 (4.6957) & 0.03915 \tabularnewline
0.216 (4.6286) & 0.028232 \tabularnewline
0.2191 (4.5634) & 0.047976 \tabularnewline
0.2222 (4.5) & 0.039059 \tabularnewline
0.2253 (4.4384) & 0.001694 \tabularnewline
0.2284 (4.3784) & 0.006357 \tabularnewline
0.2315 (4.32) & 0.011967 \tabularnewline
0.2346 (4.2632) & 0.024202 \tabularnewline
0.2377 (4.2078) & 0.00645 \tabularnewline
0.2407 (4.1538) & 0.007866 \tabularnewline
0.2438 (4.1013) & 0.005217 \tabularnewline
0.2469 (4.05) & 1.8e-05 \tabularnewline
0.25 (4) & 0.000701 \tabularnewline
0.2531 (3.9512) & 0.000824 \tabularnewline
0.2562 (3.9036) & 0.001852 \tabularnewline
0.2593 (3.8571) & 0.005246 \tabularnewline
0.2623 (3.8118) & 0.001674 \tabularnewline
0.2654 (3.7674) & 0.002481 \tabularnewline
0.2685 (3.7241) & 0.007344 \tabularnewline
0.2716 (3.6818) & 0.000665 \tabularnewline
0.2747 (3.6404) & 0.005365 \tabularnewline
0.2778 (3.6) & 0.010654 \tabularnewline
0.2809 (3.5604) & 0.059948 \tabularnewline
0.284 (3.5217) & 0.040404 \tabularnewline
0.287 (3.4839) & 0.001912 \tabularnewline
0.2901 (3.4468) & 0.056758 \tabularnewline
0.2932 (3.4105) & 0.040576 \tabularnewline
0.2963 (3.375) & 0.02225 \tabularnewline
0.2994 (3.3402) & 0.004361 \tabularnewline
0.3025 (3.3061) & 0.014407 \tabularnewline
0.3056 (3.2727) & 0.003714 \tabularnewline
0.3086 (3.24) & 0.013097 \tabularnewline
0.3117 (3.2079) & 0.015207 \tabularnewline
0.3148 (3.1765) & 0.026974 \tabularnewline
0.3179 (3.1456) & 0.009058 \tabularnewline
0.321 (3.1154) & 0.009898 \tabularnewline
0.3241 (3.0857) & 0.000158 \tabularnewline
0.3272 (3.0566) & 0.001274 \tabularnewline
0.3302 (3.028) & 0.000286 \tabularnewline
0.3333 (3) & 0.000958 \tabularnewline
0.3364 (2.9725) & 0.001248 \tabularnewline
0.3395 (2.9455) & 0.004497 \tabularnewline
0.3426 (2.9189) & 0.017473 \tabularnewline
0.3457 (2.8929) & 0.002736 \tabularnewline
0.3488 (2.8673) & 0.117131 \tabularnewline
0.3519 (2.8421) & 0.014142 \tabularnewline
0.3549 (2.8174) & 0.018316 \tabularnewline
0.358 (2.7931) & 0.031542 \tabularnewline
0.3611 (2.7692) & 0.007178 \tabularnewline
0.3642 (2.7458) & 0.024278 \tabularnewline
0.3673 (2.7227) & 0.006743 \tabularnewline
0.3704 (2.7) & 0.035876 \tabularnewline
0.3735 (2.6777) & 0.102814 \tabularnewline
0.3765 (2.6557) & 0.003119 \tabularnewline
0.3796 (2.6341) & 0.029359 \tabularnewline
0.3827 (2.6129) & 0.011296 \tabularnewline
0.3858 (2.592) & 0.00011 \tabularnewline
0.3889 (2.5714) & 0.079691 \tabularnewline
0.392 (2.5512) & 0.015271 \tabularnewline
0.3951 (2.5312) & 0.009578 \tabularnewline
0.3981 (2.5116) & 0.021434 \tabularnewline
0.4012 (2.4923) & 0.066343 \tabularnewline
0.4043 (2.4733) & 0.002448 \tabularnewline
0.4074 (2.4545) & 0.001097 \tabularnewline
0.4105 (2.4361) & 0.000387 \tabularnewline
0.4136 (2.4179) & 0.00054 \tabularnewline
0.4167 (2.4) & 0.000764 \tabularnewline
0.4198 (2.3824) & 0.000659 \tabularnewline
0.4228 (2.365) & 6e-04 \tabularnewline
0.4259 (2.3478) & 0.011126 \tabularnewline
0.429 (2.3309) & 0.007395 \tabularnewline
0.4321 (2.3143) & 0.02544 \tabularnewline
0.4352 (2.2979) & 0.000623 \tabularnewline
0.4383 (2.2817) & 0.019802 \tabularnewline
0.4414 (2.2657) & 0.004003 \tabularnewline
0.4444 (2.25) & 0.000195 \tabularnewline
0.4475 (2.2345) & 0.006694 \tabularnewline
0.4506 (2.2192) & 0.02514 \tabularnewline
0.4537 (2.2041) & 0.057691 \tabularnewline
0.4568 (2.1892) & 0.060392 \tabularnewline
0.4599 (2.1745) & 0.003836 \tabularnewline
0.463 (2.16) & 0.017574 \tabularnewline
0.466 (2.1457) & 0.048154 \tabularnewline
0.4691 (2.1316) & 0.054053 \tabularnewline
0.4722 (2.1176) & 0.073963 \tabularnewline
0.4753 (2.1039) & 0.004742 \tabularnewline
0.4784 (2.0903) & 0.026994 \tabularnewline
0.4815 (2.0769) & 0.006097 \tabularnewline
0.4846 (2.0637) & 0.004084 \tabularnewline
0.4877 (2.0506) & 0.002628 \tabularnewline
0.4907 (2.0377) & 0.004712 \tabularnewline
0.4938 (2.025) & 0.001128 \tabularnewline
0.4969 (2.0124) & 0.000539 \tabularnewline
0.5 (2) & 0.00075 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31293&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]0[/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]0.0031 (324)[/C][C]0.04817[/C][/ROW]
[ROW][C]0.0062 (162)[/C][C]0.156233[/C][/ROW]
[ROW][C]0.0093 (108)[/C][C]0.167133[/C][/ROW]
[ROW][C]0.0123 (81)[/C][C]0.044453[/C][/ROW]
[ROW][C]0.0154 (64.8)[/C][C]0.018724[/C][/ROW]
[ROW][C]0.0185 (54)[/C][C]0.067104[/C][/ROW]
[ROW][C]0.0216 (46.2857)[/C][C]0.051454[/C][/ROW]
[ROW][C]0.0247 (40.5)[/C][C]0.01871[/C][/ROW]
[ROW][C]0.0278 (36)[/C][C]0.014016[/C][/ROW]
[ROW][C]0.0309 (32.4)[/C][C]0.020084[/C][/ROW]
[ROW][C]0.034 (29.4545)[/C][C]0.069846[/C][/ROW]
[ROW][C]0.037 (27)[/C][C]0.026307[/C][/ROW]
[ROW][C]0.0401 (24.9231)[/C][C]0.351729[/C][/ROW]
[ROW][C]0.0432 (23.1429)[/C][C]0.175454[/C][/ROW]
[ROW][C]0.0463 (21.6)[/C][C]0.044484[/C][/ROW]
[ROW][C]0.0494 (20.25)[/C][C]0.040058[/C][/ROW]
[ROW][C]0.0525 (19.0588)[/C][C]0.015664[/C][/ROW]
[ROW][C]0.0556 (18)[/C][C]0.022751[/C][/ROW]
[ROW][C]0.0586 (17.0526)[/C][C]0.002298[/C][/ROW]
[ROW][C]0.0617 (16.2)[/C][C]0.006381[/C][/ROW]
[ROW][C]0.0648 (15.4286)[/C][C]0.007416[/C][/ROW]
[ROW][C]0.0679 (14.7273)[/C][C]0.007554[/C][/ROW]
[ROW][C]0.071 (14.087)[/C][C]0.008153[/C][/ROW]
[ROW][C]0.0741 (13.5)[/C][C]0.000257[/C][/ROW]
[ROW][C]0.0772 (12.96)[/C][C]0.003882[/C][/ROW]
[ROW][C]0.0802 (12.4615)[/C][C]0.000171[/C][/ROW]
[ROW][C]0.0833 (12)[/C][C]0.000702[/C][/ROW]
[ROW][C]0.0864 (11.5714)[/C][C]0.000129[/C][/ROW]
[ROW][C]0.0895 (11.1724)[/C][C]0.003464[/C][/ROW]
[ROW][C]0.0926 (10.8)[/C][C]0.009435[/C][/ROW]
[ROW][C]0.0957 (10.4516)[/C][C]0.005406[/C][/ROW]
[ROW][C]0.0988 (10.125)[/C][C]0.004688[/C][/ROW]
[ROW][C]0.1019 (9.8182)[/C][C]0.005203[/C][/ROW]
[ROW][C]0.1049 (9.5294)[/C][C]0.008887[/C][/ROW]
[ROW][C]0.108 (9.2571)[/C][C]0.020926[/C][/ROW]
[ROW][C]0.1111 (9)[/C][C]0.012417[/C][/ROW]
[ROW][C]0.1142 (8.7568)[/C][C]0.008075[/C][/ROW]
[ROW][C]0.1173 (8.5263)[/C][C]0.005701[/C][/ROW]
[ROW][C]0.1204 (8.3077)[/C][C]0.026296[/C][/ROW]
[ROW][C]0.1235 (8.1)[/C][C]0.25651[/C][/ROW]
[ROW][C]0.1265 (7.9024)[/C][C]0.07143[/C][/ROW]
[ROW][C]0.1296 (7.7143)[/C][C]0.008218[/C][/ROW]
[ROW][C]0.1327 (7.5349)[/C][C]0.084581[/C][/ROW]
[ROW][C]0.1358 (7.3636)[/C][C]0.056701[/C][/ROW]
[ROW][C]0.1389 (7.2)[/C][C]0.007591[/C][/ROW]
[ROW][C]0.142 (7.0435)[/C][C]0.022886[/C][/ROW]
[ROW][C]0.1451 (6.8936)[/C][C]0.000185[/C][/ROW]
[ROW][C]0.1481 (6.75)[/C][C]0.019903[/C][/ROW]
[ROW][C]0.1512 (6.6122)[/C][C]0.000519[/C][/ROW]
[ROW][C]0.1543 (6.48)[/C][C]0.007894[/C][/ROW]
[ROW][C]0.1574 (6.3529)[/C][C]0.001613[/C][/ROW]
[ROW][C]0.1605 (6.2308)[/C][C]0.002867[/C][/ROW]
[ROW][C]0.1636 (6.1132)[/C][C]0.000149[/C][/ROW]
[ROW][C]0.1667 (6)[/C][C]0.000681[/C][/ROW]
[ROW][C]0.1698 (5.8909)[/C][C]0.000609[/C][/ROW]
[ROW][C]0.1728 (5.7857)[/C][C]0.002173[/C][/ROW]
[ROW][C]0.1759 (5.6842)[/C][C]0.002226[/C][/ROW]
[ROW][C]0.179 (5.5862)[/C][C]0.000364[/C][/ROW]
[ROW][C]0.1821 (5.4915)[/C][C]0.00476[/C][/ROW]
[ROW][C]0.1852 (5.4)[/C][C]0.003591[/C][/ROW]
[ROW][C]0.1883 (5.3115)[/C][C]0.008929[/C][/ROW]
[ROW][C]0.1914 (5.2258)[/C][C]0.013494[/C][/ROW]
[ROW][C]0.1944 (5.1429)[/C][C]0.026403[/C][/ROW]
[ROW][C]0.1975 (5.0625)[/C][C]0.044428[/C][/ROW]
[ROW][C]0.2006 (4.9846)[/C][C]0.021895[/C][/ROW]
[ROW][C]0.2037 (4.9091)[/C][C]0.005489[/C][/ROW]
[ROW][C]0.2068 (4.8358)[/C][C]0.03239[/C][/ROW]
[ROW][C]0.2099 (4.7647)[/C][C]0.02802[/C][/ROW]
[ROW][C]0.213 (4.6957)[/C][C]0.03915[/C][/ROW]
[ROW][C]0.216 (4.6286)[/C][C]0.028232[/C][/ROW]
[ROW][C]0.2191 (4.5634)[/C][C]0.047976[/C][/ROW]
[ROW][C]0.2222 (4.5)[/C][C]0.039059[/C][/ROW]
[ROW][C]0.2253 (4.4384)[/C][C]0.001694[/C][/ROW]
[ROW][C]0.2284 (4.3784)[/C][C]0.006357[/C][/ROW]
[ROW][C]0.2315 (4.32)[/C][C]0.011967[/C][/ROW]
[ROW][C]0.2346 (4.2632)[/C][C]0.024202[/C][/ROW]
[ROW][C]0.2377 (4.2078)[/C][C]0.00645[/C][/ROW]
[ROW][C]0.2407 (4.1538)[/C][C]0.007866[/C][/ROW]
[ROW][C]0.2438 (4.1013)[/C][C]0.005217[/C][/ROW]
[ROW][C]0.2469 (4.05)[/C][C]1.8e-05[/C][/ROW]
[ROW][C]0.25 (4)[/C][C]0.000701[/C][/ROW]
[ROW][C]0.2531 (3.9512)[/C][C]0.000824[/C][/ROW]
[ROW][C]0.2562 (3.9036)[/C][C]0.001852[/C][/ROW]
[ROW][C]0.2593 (3.8571)[/C][C]0.005246[/C][/ROW]
[ROW][C]0.2623 (3.8118)[/C][C]0.001674[/C][/ROW]
[ROW][C]0.2654 (3.7674)[/C][C]0.002481[/C][/ROW]
[ROW][C]0.2685 (3.7241)[/C][C]0.007344[/C][/ROW]
[ROW][C]0.2716 (3.6818)[/C][C]0.000665[/C][/ROW]
[ROW][C]0.2747 (3.6404)[/C][C]0.005365[/C][/ROW]
[ROW][C]0.2778 (3.6)[/C][C]0.010654[/C][/ROW]
[ROW][C]0.2809 (3.5604)[/C][C]0.059948[/C][/ROW]
[ROW][C]0.284 (3.5217)[/C][C]0.040404[/C][/ROW]
[ROW][C]0.287 (3.4839)[/C][C]0.001912[/C][/ROW]
[ROW][C]0.2901 (3.4468)[/C][C]0.056758[/C][/ROW]
[ROW][C]0.2932 (3.4105)[/C][C]0.040576[/C][/ROW]
[ROW][C]0.2963 (3.375)[/C][C]0.02225[/C][/ROW]
[ROW][C]0.2994 (3.3402)[/C][C]0.004361[/C][/ROW]
[ROW][C]0.3025 (3.3061)[/C][C]0.014407[/C][/ROW]
[ROW][C]0.3056 (3.2727)[/C][C]0.003714[/C][/ROW]
[ROW][C]0.3086 (3.24)[/C][C]0.013097[/C][/ROW]
[ROW][C]0.3117 (3.2079)[/C][C]0.015207[/C][/ROW]
[ROW][C]0.3148 (3.1765)[/C][C]0.026974[/C][/ROW]
[ROW][C]0.3179 (3.1456)[/C][C]0.009058[/C][/ROW]
[ROW][C]0.321 (3.1154)[/C][C]0.009898[/C][/ROW]
[ROW][C]0.3241 (3.0857)[/C][C]0.000158[/C][/ROW]
[ROW][C]0.3272 (3.0566)[/C][C]0.001274[/C][/ROW]
[ROW][C]0.3302 (3.028)[/C][C]0.000286[/C][/ROW]
[ROW][C]0.3333 (3)[/C][C]0.000958[/C][/ROW]
[ROW][C]0.3364 (2.9725)[/C][C]0.001248[/C][/ROW]
[ROW][C]0.3395 (2.9455)[/C][C]0.004497[/C][/ROW]
[ROW][C]0.3426 (2.9189)[/C][C]0.017473[/C][/ROW]
[ROW][C]0.3457 (2.8929)[/C][C]0.002736[/C][/ROW]
[ROW][C]0.3488 (2.8673)[/C][C]0.117131[/C][/ROW]
[ROW][C]0.3519 (2.8421)[/C][C]0.014142[/C][/ROW]
[ROW][C]0.3549 (2.8174)[/C][C]0.018316[/C][/ROW]
[ROW][C]0.358 (2.7931)[/C][C]0.031542[/C][/ROW]
[ROW][C]0.3611 (2.7692)[/C][C]0.007178[/C][/ROW]
[ROW][C]0.3642 (2.7458)[/C][C]0.024278[/C][/ROW]
[ROW][C]0.3673 (2.7227)[/C][C]0.006743[/C][/ROW]
[ROW][C]0.3704 (2.7)[/C][C]0.035876[/C][/ROW]
[ROW][C]0.3735 (2.6777)[/C][C]0.102814[/C][/ROW]
[ROW][C]0.3765 (2.6557)[/C][C]0.003119[/C][/ROW]
[ROW][C]0.3796 (2.6341)[/C][C]0.029359[/C][/ROW]
[ROW][C]0.3827 (2.6129)[/C][C]0.011296[/C][/ROW]
[ROW][C]0.3858 (2.592)[/C][C]0.00011[/C][/ROW]
[ROW][C]0.3889 (2.5714)[/C][C]0.079691[/C][/ROW]
[ROW][C]0.392 (2.5512)[/C][C]0.015271[/C][/ROW]
[ROW][C]0.3951 (2.5312)[/C][C]0.009578[/C][/ROW]
[ROW][C]0.3981 (2.5116)[/C][C]0.021434[/C][/ROW]
[ROW][C]0.4012 (2.4923)[/C][C]0.066343[/C][/ROW]
[ROW][C]0.4043 (2.4733)[/C][C]0.002448[/C][/ROW]
[ROW][C]0.4074 (2.4545)[/C][C]0.001097[/C][/ROW]
[ROW][C]0.4105 (2.4361)[/C][C]0.000387[/C][/ROW]
[ROW][C]0.4136 (2.4179)[/C][C]0.00054[/C][/ROW]
[ROW][C]0.4167 (2.4)[/C][C]0.000764[/C][/ROW]
[ROW][C]0.4198 (2.3824)[/C][C]0.000659[/C][/ROW]
[ROW][C]0.4228 (2.365)[/C][C]6e-04[/C][/ROW]
[ROW][C]0.4259 (2.3478)[/C][C]0.011126[/C][/ROW]
[ROW][C]0.429 (2.3309)[/C][C]0.007395[/C][/ROW]
[ROW][C]0.4321 (2.3143)[/C][C]0.02544[/C][/ROW]
[ROW][C]0.4352 (2.2979)[/C][C]0.000623[/C][/ROW]
[ROW][C]0.4383 (2.2817)[/C][C]0.019802[/C][/ROW]
[ROW][C]0.4414 (2.2657)[/C][C]0.004003[/C][/ROW]
[ROW][C]0.4444 (2.25)[/C][C]0.000195[/C][/ROW]
[ROW][C]0.4475 (2.2345)[/C][C]0.006694[/C][/ROW]
[ROW][C]0.4506 (2.2192)[/C][C]0.02514[/C][/ROW]
[ROW][C]0.4537 (2.2041)[/C][C]0.057691[/C][/ROW]
[ROW][C]0.4568 (2.1892)[/C][C]0.060392[/C][/ROW]
[ROW][C]0.4599 (2.1745)[/C][C]0.003836[/C][/ROW]
[ROW][C]0.463 (2.16)[/C][C]0.017574[/C][/ROW]
[ROW][C]0.466 (2.1457)[/C][C]0.048154[/C][/ROW]
[ROW][C]0.4691 (2.1316)[/C][C]0.054053[/C][/ROW]
[ROW][C]0.4722 (2.1176)[/C][C]0.073963[/C][/ROW]
[ROW][C]0.4753 (2.1039)[/C][C]0.004742[/C][/ROW]
[ROW][C]0.4784 (2.0903)[/C][C]0.026994[/C][/ROW]
[ROW][C]0.4815 (2.0769)[/C][C]0.006097[/C][/ROW]
[ROW][C]0.4846 (2.0637)[/C][C]0.004084[/C][/ROW]
[ROW][C]0.4877 (2.0506)[/C][C]0.002628[/C][/ROW]
[ROW][C]0.4907 (2.0377)[/C][C]0.004712[/C][/ROW]
[ROW][C]0.4938 (2.025)[/C][C]0.001128[/C][/ROW]
[ROW][C]0.4969 (2.0124)[/C][C]0.000539[/C][/ROW]
[ROW][C]0.5 (2)[/C][C]0.00075[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31293&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31293&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)0
Degree of non-seasonal differencing (d)0
Degree of seasonal differencing (D)1
Seasonal Period (s)12
Frequency (Period)Spectrum
0.0031 (324)0.04817
0.0062 (162)0.156233
0.0093 (108)0.167133
0.0123 (81)0.044453
0.0154 (64.8)0.018724
0.0185 (54)0.067104
0.0216 (46.2857)0.051454
0.0247 (40.5)0.01871
0.0278 (36)0.014016
0.0309 (32.4)0.020084
0.034 (29.4545)0.069846
0.037 (27)0.026307
0.0401 (24.9231)0.351729
0.0432 (23.1429)0.175454
0.0463 (21.6)0.044484
0.0494 (20.25)0.040058
0.0525 (19.0588)0.015664
0.0556 (18)0.022751
0.0586 (17.0526)0.002298
0.0617 (16.2)0.006381
0.0648 (15.4286)0.007416
0.0679 (14.7273)0.007554
0.071 (14.087)0.008153
0.0741 (13.5)0.000257
0.0772 (12.96)0.003882
0.0802 (12.4615)0.000171
0.0833 (12)0.000702
0.0864 (11.5714)0.000129
0.0895 (11.1724)0.003464
0.0926 (10.8)0.009435
0.0957 (10.4516)0.005406
0.0988 (10.125)0.004688
0.1019 (9.8182)0.005203
0.1049 (9.5294)0.008887
0.108 (9.2571)0.020926
0.1111 (9)0.012417
0.1142 (8.7568)0.008075
0.1173 (8.5263)0.005701
0.1204 (8.3077)0.026296
0.1235 (8.1)0.25651
0.1265 (7.9024)0.07143
0.1296 (7.7143)0.008218
0.1327 (7.5349)0.084581
0.1358 (7.3636)0.056701
0.1389 (7.2)0.007591
0.142 (7.0435)0.022886
0.1451 (6.8936)0.000185
0.1481 (6.75)0.019903
0.1512 (6.6122)0.000519
0.1543 (6.48)0.007894
0.1574 (6.3529)0.001613
0.1605 (6.2308)0.002867
0.1636 (6.1132)0.000149
0.1667 (6)0.000681
0.1698 (5.8909)0.000609
0.1728 (5.7857)0.002173
0.1759 (5.6842)0.002226
0.179 (5.5862)0.000364
0.1821 (5.4915)0.00476
0.1852 (5.4)0.003591
0.1883 (5.3115)0.008929
0.1914 (5.2258)0.013494
0.1944 (5.1429)0.026403
0.1975 (5.0625)0.044428
0.2006 (4.9846)0.021895
0.2037 (4.9091)0.005489
0.2068 (4.8358)0.03239
0.2099 (4.7647)0.02802
0.213 (4.6957)0.03915
0.216 (4.6286)0.028232
0.2191 (4.5634)0.047976
0.2222 (4.5)0.039059
0.2253 (4.4384)0.001694
0.2284 (4.3784)0.006357
0.2315 (4.32)0.011967
0.2346 (4.2632)0.024202
0.2377 (4.2078)0.00645
0.2407 (4.1538)0.007866
0.2438 (4.1013)0.005217
0.2469 (4.05)1.8e-05
0.25 (4)0.000701
0.2531 (3.9512)0.000824
0.2562 (3.9036)0.001852
0.2593 (3.8571)0.005246
0.2623 (3.8118)0.001674
0.2654 (3.7674)0.002481
0.2685 (3.7241)0.007344
0.2716 (3.6818)0.000665
0.2747 (3.6404)0.005365
0.2778 (3.6)0.010654
0.2809 (3.5604)0.059948
0.284 (3.5217)0.040404
0.287 (3.4839)0.001912
0.2901 (3.4468)0.056758
0.2932 (3.4105)0.040576
0.2963 (3.375)0.02225
0.2994 (3.3402)0.004361
0.3025 (3.3061)0.014407
0.3056 (3.2727)0.003714
0.3086 (3.24)0.013097
0.3117 (3.2079)0.015207
0.3148 (3.1765)0.026974
0.3179 (3.1456)0.009058
0.321 (3.1154)0.009898
0.3241 (3.0857)0.000158
0.3272 (3.0566)0.001274
0.3302 (3.028)0.000286
0.3333 (3)0.000958
0.3364 (2.9725)0.001248
0.3395 (2.9455)0.004497
0.3426 (2.9189)0.017473
0.3457 (2.8929)0.002736
0.3488 (2.8673)0.117131
0.3519 (2.8421)0.014142
0.3549 (2.8174)0.018316
0.358 (2.7931)0.031542
0.3611 (2.7692)0.007178
0.3642 (2.7458)0.024278
0.3673 (2.7227)0.006743
0.3704 (2.7)0.035876
0.3735 (2.6777)0.102814
0.3765 (2.6557)0.003119
0.3796 (2.6341)0.029359
0.3827 (2.6129)0.011296
0.3858 (2.592)0.00011
0.3889 (2.5714)0.079691
0.392 (2.5512)0.015271
0.3951 (2.5312)0.009578
0.3981 (2.5116)0.021434
0.4012 (2.4923)0.066343
0.4043 (2.4733)0.002448
0.4074 (2.4545)0.001097
0.4105 (2.4361)0.000387
0.4136 (2.4179)0.00054
0.4167 (2.4)0.000764
0.4198 (2.3824)0.000659
0.4228 (2.365)6e-04
0.4259 (2.3478)0.011126
0.429 (2.3309)0.007395
0.4321 (2.3143)0.02544
0.4352 (2.2979)0.000623
0.4383 (2.2817)0.019802
0.4414 (2.2657)0.004003
0.4444 (2.25)0.000195
0.4475 (2.2345)0.006694
0.4506 (2.2192)0.02514
0.4537 (2.2041)0.057691
0.4568 (2.1892)0.060392
0.4599 (2.1745)0.003836
0.463 (2.16)0.017574
0.466 (2.1457)0.048154
0.4691 (2.1316)0.054053
0.4722 (2.1176)0.073963
0.4753 (2.1039)0.004742
0.4784 (2.0903)0.026994
0.4815 (2.0769)0.006097
0.4846 (2.0637)0.004084
0.4877 (2.0506)0.002628
0.4907 (2.0377)0.004712
0.4938 (2.025)0.001128
0.4969 (2.0124)0.000539
0.5 (2)0.00075


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.0 ; par2 = 0 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 0.0 ; 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')