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Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationThu, 14 Jan 2010 11:52:42 -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/2010/Jan/14/t12634952278nvev6xg3300u0n.htm/, Retrieved Mon, 29 Apr 2024 18:27:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72180, Retrieved Mon, 29 Apr 2024 18:27:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W52
Estimated Impact215
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Studio 100 maximu...] [2009-10-04 02:02:56] [6797cdeb32c30e9f935f3913baaaa461]
- RMPD    [Classical Decomposition] [decompositie niet...] [2010-01-14 18:52:42] [4cbcf6936bc3ba2d1882311a9e44fae8] [Current]
- R PD      [Classical Decomposition] [Sarah Geerts - de...] [2011-05-20 00:38:57] [38950998a23e7419c15b25db858fbdfd]
-   P         [Classical Decomposition] [Sarah Geerts - de...] [2011-05-20 03:58:10] [38950998a23e7419c15b25db858fbdfd]
-               [Classical Decomposition] [Sarah Geerts - de...] [2011-05-20 04:04:52] [38950998a23e7419c15b25db858fbdfd]
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Dataseries X:
492865
480961
461935
456608
441977
439148
488180
520564
501492
485025
464196
460170
467037
460070
447988
442867
436087
431328
484015
509673
512927
502831
470984
471067
476049
474605
470439
461251
454724
455626
516847
525192
522975
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590
517945
506174
501866
516141




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72180&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72180&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72180&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ 72.249.127.135







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1492865NANA1.00043707930492NA
2480961NANA0.990879206650221NA
3461935NANA0.972587540115597NA
4456608NANA0.960199229979201NA
5441977NANA0.942551498912698NA
6439148NANA0.942851863426956NA
7488180493019.281124421473350.5833333331.041552072572890.990184397832507
8520564504329.211647849471403.9583333331.069845093008821.03219085465842
9501492497017.679469886469952.3751.057591589934801.00900233676775
10485025483676.227716955468798.7083333331.031735410356641.0027885850198
11464196465471.621530716467980.750.9946383938457220.99725950740773
12460170465133.693376809467409.50.995131021891530.989328458790475
13467037467114.201752897466910.1251.000437079304920.999834726170588
14460070462029.922681317466282.7916666670.9908792066502210.995758017857495
15447988453522.878662893466305.4583333330.9725875401155970.987795811582404
16442867448916.024763591467523.8333333330.9601992299792010.9865252643481
17436087441631.169534254468548.5833333330.9425514989126980.987446154355225
18431328442466.668868757469285.4583333330.9428518634269560.97482597073982
19484015489649.2525976054701151.041552072572890.988493288680182
20509673503999.877666718471096.1251.069845093008821.01125619783788
21512927499857.136623596472637.2083333331.057591589934801.02614719770670
22502831489391.998901355474338.6666666671.031735410356641.02746060648481
23470984473329.720718028475881.2083333330.9946383938457220.995044214180192
24471067475344.401082098477670.1666666670.995131021891530.991001469519026
25476049480260.403508625480050.5833333331.000437079304920.991230999936997
26474605477668.391187007482065.2083333330.9908792066502210.993586782706316
27470439469886.704549818483130.50.9725875401155971.00117538003275
28461251464933.828268297484205.5833333330.9601992299792010.992078811984893
29454724458509.792682096486455.9583333330.9425514989126980.991743267553893
30455626461776.196460752489765.3750.9428518634269560.98668143462593
31516847513773.985488560493277.2916666671.041552072572891.00598125751447
32525192531542.460086804496840.5833333331.069845093008820.988052769884522
33522975529063.3656396555002531.057591589934800.988492180644008
34518585519884.681020593503893.4166666671.031735410356640.997500059016854
35509239505087.778654726507810.4583333330.9946383938457221.00821881170107
36512238509379.747901454511872.0416666670.995131021891531.00561124016085
37519164516423.536093286516197.9166666671.000437079304921.00530662085513
38517009515907.369364212520656.1666666670.9908792066502211.00213532641944
39509933510822.71149088525220.2916666670.9725875401155970.998258277341892
40509127508392.805491866529465.9583333330.9601992299792011.00144414810792
41500857502386.507507981533006.9583333330.9425514989126980.996955516350214
42506971505715.175427646536367.5833333330.9428518634269561.00248326455952
43569323562374.454318926539938.8751.041552072572891.01235572780327
44579714581529.411866881543564.1251.069845093008820.99687821143723
45577992578801.501517442547282.6251.057591589934800.998601417730742
46565464568084.436142126550610.5833333331.031735410356640.995387241798206
47547344550570.934674635553538.7916666670.9946383938457220.994138930206074
48554788553810.606549623556520.2916666670.995131021891531.00176485144708
49562325559262.877102297559018.5416666671.000437079304921.00547528366905
50560854556201.183296208561320.8750.9908792066502211.00836534844500
51555332548594.931688426564057.1250.9725875401155971.01228058795738
52543599544827.125182114567410.50.9601992299792010.997745844277296
53536662538453.554797709571272.2916666670.9425514989126980.996672777472178
54542722542062.193333744574917.6666666670.9428518634269561.00121721579990
55593530601810.089472708577801.251.041552072572890.986241358166723
56610763620701.611639883580178.9583333331.069845093008820.983988100798344
57612613616131.532198952582579.8333333331.057591589934800.994289316460733
58611324603587.268403031585021.3751.031735410356641.01281791714633
59594167584383.542543621587533.6666666670.9946383938457221.01674150064835
60595454587040.560661928589912.8333333330.995131021891531.01433195574865
61590865592401.271547437592142.4583333331.000437079304920.997406704507193
62589379588613.007292271594031.0416666670.9908792066502211.00130135198889
63584428579114.485550368595436.8750.9725875401155971.00917524009882
64573100572394.645116323596120.7083333330.9601992299792011.00123228770516
65567456561954.191320099596205.2916666670.9425514989126981.00979049318411
66569028562248.14101829596327.1250.9428518634269561.01205848181095
67620735621289.326527975596503.3751.041552072572890.999107780378149
68628884638310.459486989596638.2083333331.069845093008820.985232171356608
69628232630826.106346352596474.2083333331.057591589934800.995887763172363
70612117615252.068952523596327.3751.031735410356640.994904415424623
71595404593396.334019655596595.0416666670.9946383938457221.00338334746146
72597141594073.068666051596979.750.995131021891531.00516423230704
73593408597355.144170007597094.1666666671.000437079304920.993392299022566
74590072591473.014975733596917.3750.9908792066502210.997631312096647
75579799580092.787042282596442.750.9725875401155970.999493551637179
76574205571391.276929296595075.750.9601992299792011.00492433676241
77572775558762.75121776592819.3333333330.9425514989126981.02507727788172
78572942556209.331975017589922.2916666670.9428518634269561.03008340037296
79619567611279.794120534586893.1666666671.041552072572891.01355714021496
80625809624583.856598018583807.751.069845093008821.00196153549126
81619916613493.105579962580085.0833333331.057591589934801.01046938321168
82587625594349.668395378576067.9166666671.031735410356640.988685669811958
83565742568419.554879131571483.6250.9946383938457220.995289474374786
84557274563061.303065334565816.250.995131021891530.989721717628564
85560576560290.826201283560046.0416666671.000437079304921.00050897459923
86548854549759.684006943554820.0833333330.9908792066502210.998352581985748
87531673533958.867042034549008.5416666670.9725875401155970.995719020353202
88525919521603.86663074543224.6250.9601992299792011.00827281706543
89511038507443.806848376538372.50.9425514989126981.00708293825467
90498662503719.708029692534251.1666666670.9428518634269560.989959281026595
91555362552689.104994073530639.9166666671.041552072572891.00483616373432
92564591563915.838870615527100.4583333331.069845093008821.00119727286032
93541657553916.547671541523752.7916666671.057591589934800.977867518630603
94527070537161.864268573520639.1666666671.031735410356640.981212619621994
95509846514641.777746812517415.9583333330.9946383938457220.990681328344915
96514258512294.279345612514800.8333333330.995131021891531.00383318872289
97516922513022.258448041512798.1251.000437079304921.00760150556383
98507561505727.035108454510382.1250.9908792066502211.00362639282504
99492622494174.079552623508102.4166666670.9725875401155970.996859245320943
100490243486094.858931783506243.750.9601992299792011.00853360407335
101469357476026.758832577505040.5833333330.9425514989126980.985988689272566
102477580475938.931443265504786.5416666670.9428518634269561.00344806538889
103528379NANA1.04155207257289NA
104533590NANA1.06984509300882NA
105517945NANA1.05759158993480NA
106506174NANA1.03173541035664NA
107501866NANA0.994638393845722NA
108516141NANA0.99513102189153NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 492865 & NA & NA & 1.00043707930492 & NA \tabularnewline
2 & 480961 & NA & NA & 0.990879206650221 & NA \tabularnewline
3 & 461935 & NA & NA & 0.972587540115597 & NA \tabularnewline
4 & 456608 & NA & NA & 0.960199229979201 & NA \tabularnewline
5 & 441977 & NA & NA & 0.942551498912698 & NA \tabularnewline
6 & 439148 & NA & NA & 0.942851863426956 & NA \tabularnewline
7 & 488180 & 493019.281124421 & 473350.583333333 & 1.04155207257289 & 0.990184397832507 \tabularnewline
8 & 520564 & 504329.211647849 & 471403.958333333 & 1.06984509300882 & 1.03219085465842 \tabularnewline
9 & 501492 & 497017.679469886 & 469952.375 & 1.05759158993480 & 1.00900233676775 \tabularnewline
10 & 485025 & 483676.227716955 & 468798.708333333 & 1.03173541035664 & 1.0027885850198 \tabularnewline
11 & 464196 & 465471.621530716 & 467980.75 & 0.994638393845722 & 0.99725950740773 \tabularnewline
12 & 460170 & 465133.693376809 & 467409.5 & 0.99513102189153 & 0.989328458790475 \tabularnewline
13 & 467037 & 467114.201752897 & 466910.125 & 1.00043707930492 & 0.999834726170588 \tabularnewline
14 & 460070 & 462029.922681317 & 466282.791666667 & 0.990879206650221 & 0.995758017857495 \tabularnewline
15 & 447988 & 453522.878662893 & 466305.458333333 & 0.972587540115597 & 0.987795811582404 \tabularnewline
16 & 442867 & 448916.024763591 & 467523.833333333 & 0.960199229979201 & 0.9865252643481 \tabularnewline
17 & 436087 & 441631.169534254 & 468548.583333333 & 0.942551498912698 & 0.987446154355225 \tabularnewline
18 & 431328 & 442466.668868757 & 469285.458333333 & 0.942851863426956 & 0.97482597073982 \tabularnewline
19 & 484015 & 489649.252597605 & 470115 & 1.04155207257289 & 0.988493288680182 \tabularnewline
20 & 509673 & 503999.877666718 & 471096.125 & 1.06984509300882 & 1.01125619783788 \tabularnewline
21 & 512927 & 499857.136623596 & 472637.208333333 & 1.05759158993480 & 1.02614719770670 \tabularnewline
22 & 502831 & 489391.998901355 & 474338.666666667 & 1.03173541035664 & 1.02746060648481 \tabularnewline
23 & 470984 & 473329.720718028 & 475881.208333333 & 0.994638393845722 & 0.995044214180192 \tabularnewline
24 & 471067 & 475344.401082098 & 477670.166666667 & 0.99513102189153 & 0.991001469519026 \tabularnewline
25 & 476049 & 480260.403508625 & 480050.583333333 & 1.00043707930492 & 0.991230999936997 \tabularnewline
26 & 474605 & 477668.391187007 & 482065.208333333 & 0.990879206650221 & 0.993586782706316 \tabularnewline
27 & 470439 & 469886.704549818 & 483130.5 & 0.972587540115597 & 1.00117538003275 \tabularnewline
28 & 461251 & 464933.828268297 & 484205.583333333 & 0.960199229979201 & 0.992078811984893 \tabularnewline
29 & 454724 & 458509.792682096 & 486455.958333333 & 0.942551498912698 & 0.991743267553893 \tabularnewline
30 & 455626 & 461776.196460752 & 489765.375 & 0.942851863426956 & 0.98668143462593 \tabularnewline
31 & 516847 & 513773.985488560 & 493277.291666667 & 1.04155207257289 & 1.00598125751447 \tabularnewline
32 & 525192 & 531542.460086804 & 496840.583333333 & 1.06984509300882 & 0.988052769884522 \tabularnewline
33 & 522975 & 529063.365639655 & 500253 & 1.05759158993480 & 0.988492180644008 \tabularnewline
34 & 518585 & 519884.681020593 & 503893.416666667 & 1.03173541035664 & 0.997500059016854 \tabularnewline
35 & 509239 & 505087.778654726 & 507810.458333333 & 0.994638393845722 & 1.00821881170107 \tabularnewline
36 & 512238 & 509379.747901454 & 511872.041666667 & 0.99513102189153 & 1.00561124016085 \tabularnewline
37 & 519164 & 516423.536093286 & 516197.916666667 & 1.00043707930492 & 1.00530662085513 \tabularnewline
38 & 517009 & 515907.369364212 & 520656.166666667 & 0.990879206650221 & 1.00213532641944 \tabularnewline
39 & 509933 & 510822.71149088 & 525220.291666667 & 0.972587540115597 & 0.998258277341892 \tabularnewline
40 & 509127 & 508392.805491866 & 529465.958333333 & 0.960199229979201 & 1.00144414810792 \tabularnewline
41 & 500857 & 502386.507507981 & 533006.958333333 & 0.942551498912698 & 0.996955516350214 \tabularnewline
42 & 506971 & 505715.175427646 & 536367.583333333 & 0.942851863426956 & 1.00248326455952 \tabularnewline
43 & 569323 & 562374.454318926 & 539938.875 & 1.04155207257289 & 1.01235572780327 \tabularnewline
44 & 579714 & 581529.411866881 & 543564.125 & 1.06984509300882 & 0.99687821143723 \tabularnewline
45 & 577992 & 578801.501517442 & 547282.625 & 1.05759158993480 & 0.998601417730742 \tabularnewline
46 & 565464 & 568084.436142126 & 550610.583333333 & 1.03173541035664 & 0.995387241798206 \tabularnewline
47 & 547344 & 550570.934674635 & 553538.791666667 & 0.994638393845722 & 0.994138930206074 \tabularnewline
48 & 554788 & 553810.606549623 & 556520.291666667 & 0.99513102189153 & 1.00176485144708 \tabularnewline
49 & 562325 & 559262.877102297 & 559018.541666667 & 1.00043707930492 & 1.00547528366905 \tabularnewline
50 & 560854 & 556201.183296208 & 561320.875 & 0.990879206650221 & 1.00836534844500 \tabularnewline
51 & 555332 & 548594.931688426 & 564057.125 & 0.972587540115597 & 1.01228058795738 \tabularnewline
52 & 543599 & 544827.125182114 & 567410.5 & 0.960199229979201 & 0.997745844277296 \tabularnewline
53 & 536662 & 538453.554797709 & 571272.291666667 & 0.942551498912698 & 0.996672777472178 \tabularnewline
54 & 542722 & 542062.193333744 & 574917.666666667 & 0.942851863426956 & 1.00121721579990 \tabularnewline
55 & 593530 & 601810.089472708 & 577801.25 & 1.04155207257289 & 0.986241358166723 \tabularnewline
56 & 610763 & 620701.611639883 & 580178.958333333 & 1.06984509300882 & 0.983988100798344 \tabularnewline
57 & 612613 & 616131.532198952 & 582579.833333333 & 1.05759158993480 & 0.994289316460733 \tabularnewline
58 & 611324 & 603587.268403031 & 585021.375 & 1.03173541035664 & 1.01281791714633 \tabularnewline
59 & 594167 & 584383.542543621 & 587533.666666667 & 0.994638393845722 & 1.01674150064835 \tabularnewline
60 & 595454 & 587040.560661928 & 589912.833333333 & 0.99513102189153 & 1.01433195574865 \tabularnewline
61 & 590865 & 592401.271547437 & 592142.458333333 & 1.00043707930492 & 0.997406704507193 \tabularnewline
62 & 589379 & 588613.007292271 & 594031.041666667 & 0.990879206650221 & 1.00130135198889 \tabularnewline
63 & 584428 & 579114.485550368 & 595436.875 & 0.972587540115597 & 1.00917524009882 \tabularnewline
64 & 573100 & 572394.645116323 & 596120.708333333 & 0.960199229979201 & 1.00123228770516 \tabularnewline
65 & 567456 & 561954.191320099 & 596205.291666667 & 0.942551498912698 & 1.00979049318411 \tabularnewline
66 & 569028 & 562248.14101829 & 596327.125 & 0.942851863426956 & 1.01205848181095 \tabularnewline
67 & 620735 & 621289.326527975 & 596503.375 & 1.04155207257289 & 0.999107780378149 \tabularnewline
68 & 628884 & 638310.459486989 & 596638.208333333 & 1.06984509300882 & 0.985232171356608 \tabularnewline
69 & 628232 & 630826.106346352 & 596474.208333333 & 1.05759158993480 & 0.995887763172363 \tabularnewline
70 & 612117 & 615252.068952523 & 596327.375 & 1.03173541035664 & 0.994904415424623 \tabularnewline
71 & 595404 & 593396.334019655 & 596595.041666667 & 0.994638393845722 & 1.00338334746146 \tabularnewline
72 & 597141 & 594073.068666051 & 596979.75 & 0.99513102189153 & 1.00516423230704 \tabularnewline
73 & 593408 & 597355.144170007 & 597094.166666667 & 1.00043707930492 & 0.993392299022566 \tabularnewline
74 & 590072 & 591473.014975733 & 596917.375 & 0.990879206650221 & 0.997631312096647 \tabularnewline
75 & 579799 & 580092.787042282 & 596442.75 & 0.972587540115597 & 0.999493551637179 \tabularnewline
76 & 574205 & 571391.276929296 & 595075.75 & 0.960199229979201 & 1.00492433676241 \tabularnewline
77 & 572775 & 558762.75121776 & 592819.333333333 & 0.942551498912698 & 1.02507727788172 \tabularnewline
78 & 572942 & 556209.331975017 & 589922.291666667 & 0.942851863426956 & 1.03008340037296 \tabularnewline
79 & 619567 & 611279.794120534 & 586893.166666667 & 1.04155207257289 & 1.01355714021496 \tabularnewline
80 & 625809 & 624583.856598018 & 583807.75 & 1.06984509300882 & 1.00196153549126 \tabularnewline
81 & 619916 & 613493.105579962 & 580085.083333333 & 1.05759158993480 & 1.01046938321168 \tabularnewline
82 & 587625 & 594349.668395378 & 576067.916666667 & 1.03173541035664 & 0.988685669811958 \tabularnewline
83 & 565742 & 568419.554879131 & 571483.625 & 0.994638393845722 & 0.995289474374786 \tabularnewline
84 & 557274 & 563061.303065334 & 565816.25 & 0.99513102189153 & 0.989721717628564 \tabularnewline
85 & 560576 & 560290.826201283 & 560046.041666667 & 1.00043707930492 & 1.00050897459923 \tabularnewline
86 & 548854 & 549759.684006943 & 554820.083333333 & 0.990879206650221 & 0.998352581985748 \tabularnewline
87 & 531673 & 533958.867042034 & 549008.541666667 & 0.972587540115597 & 0.995719020353202 \tabularnewline
88 & 525919 & 521603.86663074 & 543224.625 & 0.960199229979201 & 1.00827281706543 \tabularnewline
89 & 511038 & 507443.806848376 & 538372.5 & 0.942551498912698 & 1.00708293825467 \tabularnewline
90 & 498662 & 503719.708029692 & 534251.166666667 & 0.942851863426956 & 0.989959281026595 \tabularnewline
91 & 555362 & 552689.104994073 & 530639.916666667 & 1.04155207257289 & 1.00483616373432 \tabularnewline
92 & 564591 & 563915.838870615 & 527100.458333333 & 1.06984509300882 & 1.00119727286032 \tabularnewline
93 & 541657 & 553916.547671541 & 523752.791666667 & 1.05759158993480 & 0.977867518630603 \tabularnewline
94 & 527070 & 537161.864268573 & 520639.166666667 & 1.03173541035664 & 0.981212619621994 \tabularnewline
95 & 509846 & 514641.777746812 & 517415.958333333 & 0.994638393845722 & 0.990681328344915 \tabularnewline
96 & 514258 & 512294.279345612 & 514800.833333333 & 0.99513102189153 & 1.00383318872289 \tabularnewline
97 & 516922 & 513022.258448041 & 512798.125 & 1.00043707930492 & 1.00760150556383 \tabularnewline
98 & 507561 & 505727.035108454 & 510382.125 & 0.990879206650221 & 1.00362639282504 \tabularnewline
99 & 492622 & 494174.079552623 & 508102.416666667 & 0.972587540115597 & 0.996859245320943 \tabularnewline
100 & 490243 & 486094.858931783 & 506243.75 & 0.960199229979201 & 1.00853360407335 \tabularnewline
101 & 469357 & 476026.758832577 & 505040.583333333 & 0.942551498912698 & 0.985988689272566 \tabularnewline
102 & 477580 & 475938.931443265 & 504786.541666667 & 0.942851863426956 & 1.00344806538889 \tabularnewline
103 & 528379 & NA & NA & 1.04155207257289 & NA \tabularnewline
104 & 533590 & NA & NA & 1.06984509300882 & NA \tabularnewline
105 & 517945 & NA & NA & 1.05759158993480 & NA \tabularnewline
106 & 506174 & NA & NA & 1.03173541035664 & NA \tabularnewline
107 & 501866 & NA & NA & 0.994638393845722 & NA \tabularnewline
108 & 516141 & NA & NA & 0.99513102189153 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72180&T=1

[TABLE]
[ROW][C]Classical Decomposition by Moving Averages[/C][/ROW]
[ROW][C]t[/C][C]Observations[/C][C]Fit[/C][C]Trend[/C][C]Seasonal[/C][C]Random[/C][/ROW]
[ROW][C]1[/C][C]492865[/C][C]NA[/C][C]NA[/C][C]1.00043707930492[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]480961[/C][C]NA[/C][C]NA[/C][C]0.990879206650221[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]461935[/C][C]NA[/C][C]NA[/C][C]0.972587540115597[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]456608[/C][C]NA[/C][C]NA[/C][C]0.960199229979201[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]441977[/C][C]NA[/C][C]NA[/C][C]0.942551498912698[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]439148[/C][C]NA[/C][C]NA[/C][C]0.942851863426956[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]488180[/C][C]493019.281124421[/C][C]473350.583333333[/C][C]1.04155207257289[/C][C]0.990184397832507[/C][/ROW]
[ROW][C]8[/C][C]520564[/C][C]504329.211647849[/C][C]471403.958333333[/C][C]1.06984509300882[/C][C]1.03219085465842[/C][/ROW]
[ROW][C]9[/C][C]501492[/C][C]497017.679469886[/C][C]469952.375[/C][C]1.05759158993480[/C][C]1.00900233676775[/C][/ROW]
[ROW][C]10[/C][C]485025[/C][C]483676.227716955[/C][C]468798.708333333[/C][C]1.03173541035664[/C][C]1.0027885850198[/C][/ROW]
[ROW][C]11[/C][C]464196[/C][C]465471.621530716[/C][C]467980.75[/C][C]0.994638393845722[/C][C]0.99725950740773[/C][/ROW]
[ROW][C]12[/C][C]460170[/C][C]465133.693376809[/C][C]467409.5[/C][C]0.99513102189153[/C][C]0.989328458790475[/C][/ROW]
[ROW][C]13[/C][C]467037[/C][C]467114.201752897[/C][C]466910.125[/C][C]1.00043707930492[/C][C]0.999834726170588[/C][/ROW]
[ROW][C]14[/C][C]460070[/C][C]462029.922681317[/C][C]466282.791666667[/C][C]0.990879206650221[/C][C]0.995758017857495[/C][/ROW]
[ROW][C]15[/C][C]447988[/C][C]453522.878662893[/C][C]466305.458333333[/C][C]0.972587540115597[/C][C]0.987795811582404[/C][/ROW]
[ROW][C]16[/C][C]442867[/C][C]448916.024763591[/C][C]467523.833333333[/C][C]0.960199229979201[/C][C]0.9865252643481[/C][/ROW]
[ROW][C]17[/C][C]436087[/C][C]441631.169534254[/C][C]468548.583333333[/C][C]0.942551498912698[/C][C]0.987446154355225[/C][/ROW]
[ROW][C]18[/C][C]431328[/C][C]442466.668868757[/C][C]469285.458333333[/C][C]0.942851863426956[/C][C]0.97482597073982[/C][/ROW]
[ROW][C]19[/C][C]484015[/C][C]489649.252597605[/C][C]470115[/C][C]1.04155207257289[/C][C]0.988493288680182[/C][/ROW]
[ROW][C]20[/C][C]509673[/C][C]503999.877666718[/C][C]471096.125[/C][C]1.06984509300882[/C][C]1.01125619783788[/C][/ROW]
[ROW][C]21[/C][C]512927[/C][C]499857.136623596[/C][C]472637.208333333[/C][C]1.05759158993480[/C][C]1.02614719770670[/C][/ROW]
[ROW][C]22[/C][C]502831[/C][C]489391.998901355[/C][C]474338.666666667[/C][C]1.03173541035664[/C][C]1.02746060648481[/C][/ROW]
[ROW][C]23[/C][C]470984[/C][C]473329.720718028[/C][C]475881.208333333[/C][C]0.994638393845722[/C][C]0.995044214180192[/C][/ROW]
[ROW][C]24[/C][C]471067[/C][C]475344.401082098[/C][C]477670.166666667[/C][C]0.99513102189153[/C][C]0.991001469519026[/C][/ROW]
[ROW][C]25[/C][C]476049[/C][C]480260.403508625[/C][C]480050.583333333[/C][C]1.00043707930492[/C][C]0.991230999936997[/C][/ROW]
[ROW][C]26[/C][C]474605[/C][C]477668.391187007[/C][C]482065.208333333[/C][C]0.990879206650221[/C][C]0.993586782706316[/C][/ROW]
[ROW][C]27[/C][C]470439[/C][C]469886.704549818[/C][C]483130.5[/C][C]0.972587540115597[/C][C]1.00117538003275[/C][/ROW]
[ROW][C]28[/C][C]461251[/C][C]464933.828268297[/C][C]484205.583333333[/C][C]0.960199229979201[/C][C]0.992078811984893[/C][/ROW]
[ROW][C]29[/C][C]454724[/C][C]458509.792682096[/C][C]486455.958333333[/C][C]0.942551498912698[/C][C]0.991743267553893[/C][/ROW]
[ROW][C]30[/C][C]455626[/C][C]461776.196460752[/C][C]489765.375[/C][C]0.942851863426956[/C][C]0.98668143462593[/C][/ROW]
[ROW][C]31[/C][C]516847[/C][C]513773.985488560[/C][C]493277.291666667[/C][C]1.04155207257289[/C][C]1.00598125751447[/C][/ROW]
[ROW][C]32[/C][C]525192[/C][C]531542.460086804[/C][C]496840.583333333[/C][C]1.06984509300882[/C][C]0.988052769884522[/C][/ROW]
[ROW][C]33[/C][C]522975[/C][C]529063.365639655[/C][C]500253[/C][C]1.05759158993480[/C][C]0.988492180644008[/C][/ROW]
[ROW][C]34[/C][C]518585[/C][C]519884.681020593[/C][C]503893.416666667[/C][C]1.03173541035664[/C][C]0.997500059016854[/C][/ROW]
[ROW][C]35[/C][C]509239[/C][C]505087.778654726[/C][C]507810.458333333[/C][C]0.994638393845722[/C][C]1.00821881170107[/C][/ROW]
[ROW][C]36[/C][C]512238[/C][C]509379.747901454[/C][C]511872.041666667[/C][C]0.99513102189153[/C][C]1.00561124016085[/C][/ROW]
[ROW][C]37[/C][C]519164[/C][C]516423.536093286[/C][C]516197.916666667[/C][C]1.00043707930492[/C][C]1.00530662085513[/C][/ROW]
[ROW][C]38[/C][C]517009[/C][C]515907.369364212[/C][C]520656.166666667[/C][C]0.990879206650221[/C][C]1.00213532641944[/C][/ROW]
[ROW][C]39[/C][C]509933[/C][C]510822.71149088[/C][C]525220.291666667[/C][C]0.972587540115597[/C][C]0.998258277341892[/C][/ROW]
[ROW][C]40[/C][C]509127[/C][C]508392.805491866[/C][C]529465.958333333[/C][C]0.960199229979201[/C][C]1.00144414810792[/C][/ROW]
[ROW][C]41[/C][C]500857[/C][C]502386.507507981[/C][C]533006.958333333[/C][C]0.942551498912698[/C][C]0.996955516350214[/C][/ROW]
[ROW][C]42[/C][C]506971[/C][C]505715.175427646[/C][C]536367.583333333[/C][C]0.942851863426956[/C][C]1.00248326455952[/C][/ROW]
[ROW][C]43[/C][C]569323[/C][C]562374.454318926[/C][C]539938.875[/C][C]1.04155207257289[/C][C]1.01235572780327[/C][/ROW]
[ROW][C]44[/C][C]579714[/C][C]581529.411866881[/C][C]543564.125[/C][C]1.06984509300882[/C][C]0.99687821143723[/C][/ROW]
[ROW][C]45[/C][C]577992[/C][C]578801.501517442[/C][C]547282.625[/C][C]1.05759158993480[/C][C]0.998601417730742[/C][/ROW]
[ROW][C]46[/C][C]565464[/C][C]568084.436142126[/C][C]550610.583333333[/C][C]1.03173541035664[/C][C]0.995387241798206[/C][/ROW]
[ROW][C]47[/C][C]547344[/C][C]550570.934674635[/C][C]553538.791666667[/C][C]0.994638393845722[/C][C]0.994138930206074[/C][/ROW]
[ROW][C]48[/C][C]554788[/C][C]553810.606549623[/C][C]556520.291666667[/C][C]0.99513102189153[/C][C]1.00176485144708[/C][/ROW]
[ROW][C]49[/C][C]562325[/C][C]559262.877102297[/C][C]559018.541666667[/C][C]1.00043707930492[/C][C]1.00547528366905[/C][/ROW]
[ROW][C]50[/C][C]560854[/C][C]556201.183296208[/C][C]561320.875[/C][C]0.990879206650221[/C][C]1.00836534844500[/C][/ROW]
[ROW][C]51[/C][C]555332[/C][C]548594.931688426[/C][C]564057.125[/C][C]0.972587540115597[/C][C]1.01228058795738[/C][/ROW]
[ROW][C]52[/C][C]543599[/C][C]544827.125182114[/C][C]567410.5[/C][C]0.960199229979201[/C][C]0.997745844277296[/C][/ROW]
[ROW][C]53[/C][C]536662[/C][C]538453.554797709[/C][C]571272.291666667[/C][C]0.942551498912698[/C][C]0.996672777472178[/C][/ROW]
[ROW][C]54[/C][C]542722[/C][C]542062.193333744[/C][C]574917.666666667[/C][C]0.942851863426956[/C][C]1.00121721579990[/C][/ROW]
[ROW][C]55[/C][C]593530[/C][C]601810.089472708[/C][C]577801.25[/C][C]1.04155207257289[/C][C]0.986241358166723[/C][/ROW]
[ROW][C]56[/C][C]610763[/C][C]620701.611639883[/C][C]580178.958333333[/C][C]1.06984509300882[/C][C]0.983988100798344[/C][/ROW]
[ROW][C]57[/C][C]612613[/C][C]616131.532198952[/C][C]582579.833333333[/C][C]1.05759158993480[/C][C]0.994289316460733[/C][/ROW]
[ROW][C]58[/C][C]611324[/C][C]603587.268403031[/C][C]585021.375[/C][C]1.03173541035664[/C][C]1.01281791714633[/C][/ROW]
[ROW][C]59[/C][C]594167[/C][C]584383.542543621[/C][C]587533.666666667[/C][C]0.994638393845722[/C][C]1.01674150064835[/C][/ROW]
[ROW][C]60[/C][C]595454[/C][C]587040.560661928[/C][C]589912.833333333[/C][C]0.99513102189153[/C][C]1.01433195574865[/C][/ROW]
[ROW][C]61[/C][C]590865[/C][C]592401.271547437[/C][C]592142.458333333[/C][C]1.00043707930492[/C][C]0.997406704507193[/C][/ROW]
[ROW][C]62[/C][C]589379[/C][C]588613.007292271[/C][C]594031.041666667[/C][C]0.990879206650221[/C][C]1.00130135198889[/C][/ROW]
[ROW][C]63[/C][C]584428[/C][C]579114.485550368[/C][C]595436.875[/C][C]0.972587540115597[/C][C]1.00917524009882[/C][/ROW]
[ROW][C]64[/C][C]573100[/C][C]572394.645116323[/C][C]596120.708333333[/C][C]0.960199229979201[/C][C]1.00123228770516[/C][/ROW]
[ROW][C]65[/C][C]567456[/C][C]561954.191320099[/C][C]596205.291666667[/C][C]0.942551498912698[/C][C]1.00979049318411[/C][/ROW]
[ROW][C]66[/C][C]569028[/C][C]562248.14101829[/C][C]596327.125[/C][C]0.942851863426956[/C][C]1.01205848181095[/C][/ROW]
[ROW][C]67[/C][C]620735[/C][C]621289.326527975[/C][C]596503.375[/C][C]1.04155207257289[/C][C]0.999107780378149[/C][/ROW]
[ROW][C]68[/C][C]628884[/C][C]638310.459486989[/C][C]596638.208333333[/C][C]1.06984509300882[/C][C]0.985232171356608[/C][/ROW]
[ROW][C]69[/C][C]628232[/C][C]630826.106346352[/C][C]596474.208333333[/C][C]1.05759158993480[/C][C]0.995887763172363[/C][/ROW]
[ROW][C]70[/C][C]612117[/C][C]615252.068952523[/C][C]596327.375[/C][C]1.03173541035664[/C][C]0.994904415424623[/C][/ROW]
[ROW][C]71[/C][C]595404[/C][C]593396.334019655[/C][C]596595.041666667[/C][C]0.994638393845722[/C][C]1.00338334746146[/C][/ROW]
[ROW][C]72[/C][C]597141[/C][C]594073.068666051[/C][C]596979.75[/C][C]0.99513102189153[/C][C]1.00516423230704[/C][/ROW]
[ROW][C]73[/C][C]593408[/C][C]597355.144170007[/C][C]597094.166666667[/C][C]1.00043707930492[/C][C]0.993392299022566[/C][/ROW]
[ROW][C]74[/C][C]590072[/C][C]591473.014975733[/C][C]596917.375[/C][C]0.990879206650221[/C][C]0.997631312096647[/C][/ROW]
[ROW][C]75[/C][C]579799[/C][C]580092.787042282[/C][C]596442.75[/C][C]0.972587540115597[/C][C]0.999493551637179[/C][/ROW]
[ROW][C]76[/C][C]574205[/C][C]571391.276929296[/C][C]595075.75[/C][C]0.960199229979201[/C][C]1.00492433676241[/C][/ROW]
[ROW][C]77[/C][C]572775[/C][C]558762.75121776[/C][C]592819.333333333[/C][C]0.942551498912698[/C][C]1.02507727788172[/C][/ROW]
[ROW][C]78[/C][C]572942[/C][C]556209.331975017[/C][C]589922.291666667[/C][C]0.942851863426956[/C][C]1.03008340037296[/C][/ROW]
[ROW][C]79[/C][C]619567[/C][C]611279.794120534[/C][C]586893.166666667[/C][C]1.04155207257289[/C][C]1.01355714021496[/C][/ROW]
[ROW][C]80[/C][C]625809[/C][C]624583.856598018[/C][C]583807.75[/C][C]1.06984509300882[/C][C]1.00196153549126[/C][/ROW]
[ROW][C]81[/C][C]619916[/C][C]613493.105579962[/C][C]580085.083333333[/C][C]1.05759158993480[/C][C]1.01046938321168[/C][/ROW]
[ROW][C]82[/C][C]587625[/C][C]594349.668395378[/C][C]576067.916666667[/C][C]1.03173541035664[/C][C]0.988685669811958[/C][/ROW]
[ROW][C]83[/C][C]565742[/C][C]568419.554879131[/C][C]571483.625[/C][C]0.994638393845722[/C][C]0.995289474374786[/C][/ROW]
[ROW][C]84[/C][C]557274[/C][C]563061.303065334[/C][C]565816.25[/C][C]0.99513102189153[/C][C]0.989721717628564[/C][/ROW]
[ROW][C]85[/C][C]560576[/C][C]560290.826201283[/C][C]560046.041666667[/C][C]1.00043707930492[/C][C]1.00050897459923[/C][/ROW]
[ROW][C]86[/C][C]548854[/C][C]549759.684006943[/C][C]554820.083333333[/C][C]0.990879206650221[/C][C]0.998352581985748[/C][/ROW]
[ROW][C]87[/C][C]531673[/C][C]533958.867042034[/C][C]549008.541666667[/C][C]0.972587540115597[/C][C]0.995719020353202[/C][/ROW]
[ROW][C]88[/C][C]525919[/C][C]521603.86663074[/C][C]543224.625[/C][C]0.960199229979201[/C][C]1.00827281706543[/C][/ROW]
[ROW][C]89[/C][C]511038[/C][C]507443.806848376[/C][C]538372.5[/C][C]0.942551498912698[/C][C]1.00708293825467[/C][/ROW]
[ROW][C]90[/C][C]498662[/C][C]503719.708029692[/C][C]534251.166666667[/C][C]0.942851863426956[/C][C]0.989959281026595[/C][/ROW]
[ROW][C]91[/C][C]555362[/C][C]552689.104994073[/C][C]530639.916666667[/C][C]1.04155207257289[/C][C]1.00483616373432[/C][/ROW]
[ROW][C]92[/C][C]564591[/C][C]563915.838870615[/C][C]527100.458333333[/C][C]1.06984509300882[/C][C]1.00119727286032[/C][/ROW]
[ROW][C]93[/C][C]541657[/C][C]553916.547671541[/C][C]523752.791666667[/C][C]1.05759158993480[/C][C]0.977867518630603[/C][/ROW]
[ROW][C]94[/C][C]527070[/C][C]537161.864268573[/C][C]520639.166666667[/C][C]1.03173541035664[/C][C]0.981212619621994[/C][/ROW]
[ROW][C]95[/C][C]509846[/C][C]514641.777746812[/C][C]517415.958333333[/C][C]0.994638393845722[/C][C]0.990681328344915[/C][/ROW]
[ROW][C]96[/C][C]514258[/C][C]512294.279345612[/C][C]514800.833333333[/C][C]0.99513102189153[/C][C]1.00383318872289[/C][/ROW]
[ROW][C]97[/C][C]516922[/C][C]513022.258448041[/C][C]512798.125[/C][C]1.00043707930492[/C][C]1.00760150556383[/C][/ROW]
[ROW][C]98[/C][C]507561[/C][C]505727.035108454[/C][C]510382.125[/C][C]0.990879206650221[/C][C]1.00362639282504[/C][/ROW]
[ROW][C]99[/C][C]492622[/C][C]494174.079552623[/C][C]508102.416666667[/C][C]0.972587540115597[/C][C]0.996859245320943[/C][/ROW]
[ROW][C]100[/C][C]490243[/C][C]486094.858931783[/C][C]506243.75[/C][C]0.960199229979201[/C][C]1.00853360407335[/C][/ROW]
[ROW][C]101[/C][C]469357[/C][C]476026.758832577[/C][C]505040.583333333[/C][C]0.942551498912698[/C][C]0.985988689272566[/C][/ROW]
[ROW][C]102[/C][C]477580[/C][C]475938.931443265[/C][C]504786.541666667[/C][C]0.942851863426956[/C][C]1.00344806538889[/C][/ROW]
[ROW][C]103[/C][C]528379[/C][C]NA[/C][C]NA[/C][C]1.04155207257289[/C][C]NA[/C][/ROW]
[ROW][C]104[/C][C]533590[/C][C]NA[/C][C]NA[/C][C]1.06984509300882[/C][C]NA[/C][/ROW]
[ROW][C]105[/C][C]517945[/C][C]NA[/C][C]NA[/C][C]1.05759158993480[/C][C]NA[/C][/ROW]
[ROW][C]106[/C][C]506174[/C][C]NA[/C][C]NA[/C][C]1.03173541035664[/C][C]NA[/C][/ROW]
[ROW][C]107[/C][C]501866[/C][C]NA[/C][C]NA[/C][C]0.994638393845722[/C][C]NA[/C][/ROW]
[ROW][C]108[/C][C]516141[/C][C]NA[/C][C]NA[/C][C]0.99513102189153[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72180&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72180&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1492865NANA1.00043707930492NA
2480961NANA0.990879206650221NA
3461935NANA0.972587540115597NA
4456608NANA0.960199229979201NA
5441977NANA0.942551498912698NA
6439148NANA0.942851863426956NA
7488180493019.281124421473350.5833333331.041552072572890.990184397832507
8520564504329.211647849471403.9583333331.069845093008821.03219085465842
9501492497017.679469886469952.3751.057591589934801.00900233676775
10485025483676.227716955468798.7083333331.031735410356641.0027885850198
11464196465471.621530716467980.750.9946383938457220.99725950740773
12460170465133.693376809467409.50.995131021891530.989328458790475
13467037467114.201752897466910.1251.000437079304920.999834726170588
14460070462029.922681317466282.7916666670.9908792066502210.995758017857495
15447988453522.878662893466305.4583333330.9725875401155970.987795811582404
16442867448916.024763591467523.8333333330.9601992299792010.9865252643481
17436087441631.169534254468548.5833333330.9425514989126980.987446154355225
18431328442466.668868757469285.4583333330.9428518634269560.97482597073982
19484015489649.2525976054701151.041552072572890.988493288680182
20509673503999.877666718471096.1251.069845093008821.01125619783788
21512927499857.136623596472637.2083333331.057591589934801.02614719770670
22502831489391.998901355474338.6666666671.031735410356641.02746060648481
23470984473329.720718028475881.2083333330.9946383938457220.995044214180192
24471067475344.401082098477670.1666666670.995131021891530.991001469519026
25476049480260.403508625480050.5833333331.000437079304920.991230999936997
26474605477668.391187007482065.2083333330.9908792066502210.993586782706316
27470439469886.704549818483130.50.9725875401155971.00117538003275
28461251464933.828268297484205.5833333330.9601992299792010.992078811984893
29454724458509.792682096486455.9583333330.9425514989126980.991743267553893
30455626461776.196460752489765.3750.9428518634269560.98668143462593
31516847513773.985488560493277.2916666671.041552072572891.00598125751447
32525192531542.460086804496840.5833333331.069845093008820.988052769884522
33522975529063.3656396555002531.057591589934800.988492180644008
34518585519884.681020593503893.4166666671.031735410356640.997500059016854
35509239505087.778654726507810.4583333330.9946383938457221.00821881170107
36512238509379.747901454511872.0416666670.995131021891531.00561124016085
37519164516423.536093286516197.9166666671.000437079304921.00530662085513
38517009515907.369364212520656.1666666670.9908792066502211.00213532641944
39509933510822.71149088525220.2916666670.9725875401155970.998258277341892
40509127508392.805491866529465.9583333330.9601992299792011.00144414810792
41500857502386.507507981533006.9583333330.9425514989126980.996955516350214
42506971505715.175427646536367.5833333330.9428518634269561.00248326455952
43569323562374.454318926539938.8751.041552072572891.01235572780327
44579714581529.411866881543564.1251.069845093008820.99687821143723
45577992578801.501517442547282.6251.057591589934800.998601417730742
46565464568084.436142126550610.5833333331.031735410356640.995387241798206
47547344550570.934674635553538.7916666670.9946383938457220.994138930206074
48554788553810.606549623556520.2916666670.995131021891531.00176485144708
49562325559262.877102297559018.5416666671.000437079304921.00547528366905
50560854556201.183296208561320.8750.9908792066502211.00836534844500
51555332548594.931688426564057.1250.9725875401155971.01228058795738
52543599544827.125182114567410.50.9601992299792010.997745844277296
53536662538453.554797709571272.2916666670.9425514989126980.996672777472178
54542722542062.193333744574917.6666666670.9428518634269561.00121721579990
55593530601810.089472708577801.251.041552072572890.986241358166723
56610763620701.611639883580178.9583333331.069845093008820.983988100798344
57612613616131.532198952582579.8333333331.057591589934800.994289316460733
58611324603587.268403031585021.3751.031735410356641.01281791714633
59594167584383.542543621587533.6666666670.9946383938457221.01674150064835
60595454587040.560661928589912.8333333330.995131021891531.01433195574865
61590865592401.271547437592142.4583333331.000437079304920.997406704507193
62589379588613.007292271594031.0416666670.9908792066502211.00130135198889
63584428579114.485550368595436.8750.9725875401155971.00917524009882
64573100572394.645116323596120.7083333330.9601992299792011.00123228770516
65567456561954.191320099596205.2916666670.9425514989126981.00979049318411
66569028562248.14101829596327.1250.9428518634269561.01205848181095
67620735621289.326527975596503.3751.041552072572890.999107780378149
68628884638310.459486989596638.2083333331.069845093008820.985232171356608
69628232630826.106346352596474.2083333331.057591589934800.995887763172363
70612117615252.068952523596327.3751.031735410356640.994904415424623
71595404593396.334019655596595.0416666670.9946383938457221.00338334746146
72597141594073.068666051596979.750.995131021891531.00516423230704
73593408597355.144170007597094.1666666671.000437079304920.993392299022566
74590072591473.014975733596917.3750.9908792066502210.997631312096647
75579799580092.787042282596442.750.9725875401155970.999493551637179
76574205571391.276929296595075.750.9601992299792011.00492433676241
77572775558762.75121776592819.3333333330.9425514989126981.02507727788172
78572942556209.331975017589922.2916666670.9428518634269561.03008340037296
79619567611279.794120534586893.1666666671.041552072572891.01355714021496
80625809624583.856598018583807.751.069845093008821.00196153549126
81619916613493.105579962580085.0833333331.057591589934801.01046938321168
82587625594349.668395378576067.9166666671.031735410356640.988685669811958
83565742568419.554879131571483.6250.9946383938457220.995289474374786
84557274563061.303065334565816.250.995131021891530.989721717628564
85560576560290.826201283560046.0416666671.000437079304921.00050897459923
86548854549759.684006943554820.0833333330.9908792066502210.998352581985748
87531673533958.867042034549008.5416666670.9725875401155970.995719020353202
88525919521603.86663074543224.6250.9601992299792011.00827281706543
89511038507443.806848376538372.50.9425514989126981.00708293825467
90498662503719.708029692534251.1666666670.9428518634269560.989959281026595
91555362552689.104994073530639.9166666671.041552072572891.00483616373432
92564591563915.838870615527100.4583333331.069845093008821.00119727286032
93541657553916.547671541523752.7916666671.057591589934800.977867518630603
94527070537161.864268573520639.1666666671.031735410356640.981212619621994
95509846514641.777746812517415.9583333330.9946383938457220.990681328344915
96514258512294.279345612514800.8333333330.995131021891531.00383318872289
97516922513022.258448041512798.1251.000437079304921.00760150556383
98507561505727.035108454510382.1250.9908792066502211.00362639282504
99492622494174.079552623508102.4166666670.9725875401155970.996859245320943
100490243486094.858931783506243.750.9601992299792011.00853360407335
101469357476026.758832577505040.5833333330.9425514989126980.985988689272566
102477580475938.931443265504786.5416666670.9428518634269561.00344806538889
103528379NANA1.04155207257289NA
104533590NANA1.06984509300882NA
105517945NANA1.05759158993480NA
106506174NANA1.03173541035664NA
107501866NANA0.994638393845722NA
108516141NANA0.99513102189153NA



Parameters (Session):
par1 = multiplicative ; par2 = 12 ;
Parameters (R input):
par1 = multiplicative ; par2 = 12 ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')