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Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationMon, 31 May 2010 14:58:04 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/31/t1275317956xuacyw0pgxbr92x.htm/, Retrieved Mon, 29 Apr 2024 10:17:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=76745, Retrieved Mon, 29 Apr 2024 10:17:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W52
Estimated Impact132
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [IKO - Opgave 9 - ...] [2010-05-31 14:58:04] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
5221,3
5115,9
5107,4
5202,1
5307,5
5266,1
5329,8
5263,4
5177,1
5204,9
5185,2
5189,8
5253,8
5372,3
5478,4
5590,5
5699,8
5797,9
5854,3
5902,4
5956,9
6007,8
6101,7
6148,6
6207,4
6232
6291,7
6323,4
6365
6435
6493,4
6606,8
6639,1
6723,5
6759,4
6848,6
6918,1
6963,5
7013,1
7030,9
7112,1
7130,3
7130,8
7076,9
7040,8
7086,5
7120,7
7154,1
7228,2
7297,9
7369,5
7450,7
7459,7
7497,5
7536
7637,4
7715,1
7815,7
7859,5
7951,6
7973,7
7988
8053,1
8112
8169,2
8303,1
8372,7
8470,6
8536,1
8665,8
8773,7
8838,4
8936,2
8995,3
9098,9
9237,1
9315,5
9392,6
9502,2
9671,1
9695,6
9847,9
9836,6
9887,7
9875,6
9905,9
9871,1
9910
9977,3
10031,6
10090,7
10095,8
10126
10212,7
10398,7
10467
10543,6
10634,2
10728,7
10796,4
10875,8
10946,1
11050
11086,1
11217,3
11291,7
11314,1
11356,4
11357,8
11491,4
11625,7
11620,7




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=76745&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=76745&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=76745&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
15221.3NANA0.999309258071646NA
25115.9NANA1.00029349348077NA
35107.45173.105490129995172.451.000126727204710.98729863710389
45202.15203.4072515054552021.000270521242880.999748770095773
55307.55244.949589183395248.5750.9993092580716461.01192583641711
65266.15285.588330558395284.03751.000293493480770.996312930682529
75329.85276.068536695725275.41.000126727204711.01018399646073
85263.45252.870628780915251.451.000270521242881.00200449848534
95177.15222.115372636455225.7250.9993092580716460.991379858654152
105204.95199.97571118515198.451.000293493480771.00094698304154
115185.25199.496334144115198.83751.000126727204710.997250438653024
125189.85230.764650261445229.351.000270521242880.99216851588622
135253.85283.273099230445286.9250.9993092580716460.994421431813788
145372.35375.23963491165373.66251.000293493480770.999453115561117
155478.45480.19440171825479.51.000126727204710.999672566046629
165590.55589.961794439765588.451.000270521242881.00009628072249
175699.85684.708119563545688.63750.9993092580716461.00265482063794
185797.95776.307311122715774.61251.000293493480771.00373814752475
195854.35846.478313972835845.73751.000126727204711.00133784572646
205902.45905.709687851595904.11251.000270521242880.999439578301928
215956.95957.157297411055961.2750.9993092580716460.99995680869277
226007.86024.742703897336022.9751.000293493480770.997187812869358
236101.76085.83364296116085.06251.000126727204711.00260709673805
246148.66146.062190724736144.41.000270521242881.00041291630259
256207.46191.895042132086196.1750.9993092580716461.00250407310887
2662326243.606920270926241.7751.000293493480770.998140991190006
276291.76284.121268213526283.3251.000126727204711.00120601297509
286323.46330.111966633426328.41.000270521242880.998939676475108
2963656374.58126587336378.98750.9993092580716460.998496957608087
3064356441.51498795616439.6251.000293493480770.998988593837277
316493.46510.13740697776509.31251.000126727204710.99742902400804
326606.86581.417431714186579.63751.000270521242881.00385670238200
336639.16644.357291455476648.950.9993092580716460.99920875846604
346723.56714.395052977656712.4251.000293493480771.00135603385718
356759.46778.383896798096777.5251.000126727204710.997199347648773
366848.66844.251014552266842.41.000270521242881.00063542167558
376918.16899.343540018186904.11250.9993092580716461.00271858617752
386963.56960.654807403946958.61251.000293493480771.00040875358350
397013.17006.537806441667005.651.000126727204711.00093658148141
407030.97052.657377653227050.751.000270521242880.996915009975934
417112.17081.417686838837086.31250.9993092580716461.00433279246022
427130.37108.860792131797106.7751.000293493480771.00301584297331
437130.87104.512720955457103.61251.000126727204711.00370008191653
447076.97091.142785958037089.2251.000270521242880.997991468175448
457040.87077.595328926717082.48750.9993092580716460.994801153892435
467086.57092.956125585457090.8751.000293493480770.99908978351605
477120.77124.852798269987123.951.000126727204710.99941713907816
487154.17175.740665292157173.81.000270521242880.996984190719597
497228.27226.330020624957231.3250.9993092580716461.00025877303828
507297.97301.642355662877299.51.000293493480770.999487463849833
517369.57366.445910810377365.51251.000126727204711.00041459466704
527450.77421.40710530947419.41.000270521242881.00394708096119
537459.77460.005999259287465.16250.9993092580716460.999958981365524
547497.57511.51643426387509.31251.000293493480770.998134007375679
5575367565.533637444557564.5751.000126727204710.996096291569126
567637.47638.340774603957636.2751.000270521242880.999876835214386
577715.17711.157398544137716.48750.9993092580716461.00051128530415
587815.77798.488133874777796.21.000293493480771.0022070772988
597859.57868.79706430127867.81.000126727204710.998818489760858
607951.67923.805477985157921.66251.000270521242881.00350772392029
617973.77961.896582760037967.40.9993092580716461.00148248813801
6279888014.00136704528011.651.000293493480770.996755507535584
638053.18057.158431786128056.13751.000126727204710.999496294900929
6481128122.159122347628119.96251.000270521242880.998749209145674
658169.28193.636399706858199.30.9993092580716460.997017636795828
668303.18286.50632200678284.0751.000293493480771.00200249385549
678372.78375.823810241728374.76251.000126727204710.999627044418258
688470.68468.252722697658465.96251.000270521242881.00027718555164
698536.18555.511264786048561.4250.9993092580716460.997731139123627
708665.88660.06592714718657.5251.000293493480771.00066212808322
718773.78754.62180817058753.51251.000126727204711.00217921370535
728838.48847.105182618398844.71251.000270521242880.999016041695142
738936.28920.384057639458926.550.9993092580716461.00177301137018
748995.39019.68394172219017.03751.000293493480770.997296585791737
759098.99115.442528177789114.28751.000126727204710.99818521940908
769237.19213.85436923219211.36251.000270521242881.00252289973733
779315.59305.00569970559311.43750.9993092580716461.00112781234458
789392.69418.863563964279416.11.000293493480770.997211599490118
799502.29519.068672109429517.86251.000126727204710.998227907299498
809671.19624.890533173829622.28751.000270521242881.00480103816941
819695.69714.2852977144797210.9993092580716460.998076513388086
829847.99792.748264490049789.8751.000293493480771.00563189556398
839836.69840.696925994379839.451.000126727204710.99958367521882
849887.79871.86982825029869.21.000270521242881.00160356366374
859875.69873.937443057149880.76250.9993092580716461.00016837831437
869905.99890.764523182489887.86251.000293493480771.00153026358903
879871.19904.617525446849903.36251.000126727204710.996615969737274
8899109934.474259498499931.78751.000270521242880.99753643133404
899977.39968.059883801779974.950.9993092580716461.00092697238038
9010031.610028.567455578110025.6251.000293493480771.00030239058921
9110090.710068.713318212910067.43751.000126727204711.00218366350220
9210095.810111.397107943310108.66251.000270521242880.998457472515734
931012610162.775292737010169.80.9993092580716460.996381373032688
9410212.710257.709687597210254.71.000293493480770.995612111380803
9510398.710354.612044768510353.31.000126727204711.00425780850513
961046710461.016661880710458.18751.000270521242881.00057196526042
9710543.610544.836204829310552.1250.9993092580716460.999882766805927
9810634.210637.671171095910634.551.000293493480770.99967369069413
9910728.710718.608167134710717.251.000126727204711.00094152456252
10010796.410800.683524131810797.76251.000270521242880.999603402495572
10110875.810869.399360485210876.91250.9993092580716461.00058886782080
10210946.110956.502218474210953.28751.000293493480770.999050589479488
1031105011033.585578283711032.18751.000126727204711.00148767792662
10411086.111121.082675467411118.0751.000270521242880.996854382213652
10511217.311186.555136265711194.28750.9993092580716461.00274837636429
10611291.711264.392555767611261.08751.000293493480771.00242422696982
10711314.111313.871093582811312.43751.000126727204711.00002023236921
10811356.411358.034258568311354.96251.000270521242880.999856114312467
10911357.811410.987504262911418.8750.9993092580716460.995338921873063
11011491.411494.234993232211490.86251.000293493480770.999753355205124
11111625.7NANA1.00012672720471NA
11211620.7NANA1.00027052124288NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 5221.3 & NA & NA & 0.999309258071646 & NA \tabularnewline
2 & 5115.9 & NA & NA & 1.00029349348077 & NA \tabularnewline
3 & 5107.4 & 5173.10549012999 & 5172.45 & 1.00012672720471 & 0.98729863710389 \tabularnewline
4 & 5202.1 & 5203.40725150545 & 5202 & 1.00027052124288 & 0.999748770095773 \tabularnewline
5 & 5307.5 & 5244.94958918339 & 5248.575 & 0.999309258071646 & 1.01192583641711 \tabularnewline
6 & 5266.1 & 5285.58833055839 & 5284.0375 & 1.00029349348077 & 0.996312930682529 \tabularnewline
7 & 5329.8 & 5276.06853669572 & 5275.4 & 1.00012672720471 & 1.01018399646073 \tabularnewline
8 & 5263.4 & 5252.87062878091 & 5251.45 & 1.00027052124288 & 1.00200449848534 \tabularnewline
9 & 5177.1 & 5222.11537263645 & 5225.725 & 0.999309258071646 & 0.991379858654152 \tabularnewline
10 & 5204.9 & 5199.9757111851 & 5198.45 & 1.00029349348077 & 1.00094698304154 \tabularnewline
11 & 5185.2 & 5199.49633414411 & 5198.8375 & 1.00012672720471 & 0.997250438653024 \tabularnewline
12 & 5189.8 & 5230.76465026144 & 5229.35 & 1.00027052124288 & 0.99216851588622 \tabularnewline
13 & 5253.8 & 5283.27309923044 & 5286.925 & 0.999309258071646 & 0.994421431813788 \tabularnewline
14 & 5372.3 & 5375.2396349116 & 5373.6625 & 1.00029349348077 & 0.999453115561117 \tabularnewline
15 & 5478.4 & 5480.1944017182 & 5479.5 & 1.00012672720471 & 0.999672566046629 \tabularnewline
16 & 5590.5 & 5589.96179443976 & 5588.45 & 1.00027052124288 & 1.00009628072249 \tabularnewline
17 & 5699.8 & 5684.70811956354 & 5688.6375 & 0.999309258071646 & 1.00265482063794 \tabularnewline
18 & 5797.9 & 5776.30731112271 & 5774.6125 & 1.00029349348077 & 1.00373814752475 \tabularnewline
19 & 5854.3 & 5846.47831397283 & 5845.7375 & 1.00012672720471 & 1.00133784572646 \tabularnewline
20 & 5902.4 & 5905.70968785159 & 5904.1125 & 1.00027052124288 & 0.999439578301928 \tabularnewline
21 & 5956.9 & 5957.15729741105 & 5961.275 & 0.999309258071646 & 0.99995680869277 \tabularnewline
22 & 6007.8 & 6024.74270389733 & 6022.975 & 1.00029349348077 & 0.997187812869358 \tabularnewline
23 & 6101.7 & 6085.8336429611 & 6085.0625 & 1.00012672720471 & 1.00260709673805 \tabularnewline
24 & 6148.6 & 6146.06219072473 & 6144.4 & 1.00027052124288 & 1.00041291630259 \tabularnewline
25 & 6207.4 & 6191.89504213208 & 6196.175 & 0.999309258071646 & 1.00250407310887 \tabularnewline
26 & 6232 & 6243.60692027092 & 6241.775 & 1.00029349348077 & 0.998140991190006 \tabularnewline
27 & 6291.7 & 6284.12126821352 & 6283.325 & 1.00012672720471 & 1.00120601297509 \tabularnewline
28 & 6323.4 & 6330.11196663342 & 6328.4 & 1.00027052124288 & 0.998939676475108 \tabularnewline
29 & 6365 & 6374.5812658733 & 6378.9875 & 0.999309258071646 & 0.998496957608087 \tabularnewline
30 & 6435 & 6441.5149879561 & 6439.625 & 1.00029349348077 & 0.998988593837277 \tabularnewline
31 & 6493.4 & 6510.1374069777 & 6509.3125 & 1.00012672720471 & 0.99742902400804 \tabularnewline
32 & 6606.8 & 6581.41743171418 & 6579.6375 & 1.00027052124288 & 1.00385670238200 \tabularnewline
33 & 6639.1 & 6644.35729145547 & 6648.95 & 0.999309258071646 & 0.99920875846604 \tabularnewline
34 & 6723.5 & 6714.39505297765 & 6712.425 & 1.00029349348077 & 1.00135603385718 \tabularnewline
35 & 6759.4 & 6778.38389679809 & 6777.525 & 1.00012672720471 & 0.997199347648773 \tabularnewline
36 & 6848.6 & 6844.25101455226 & 6842.4 & 1.00027052124288 & 1.00063542167558 \tabularnewline
37 & 6918.1 & 6899.34354001818 & 6904.1125 & 0.999309258071646 & 1.00271858617752 \tabularnewline
38 & 6963.5 & 6960.65480740394 & 6958.6125 & 1.00029349348077 & 1.00040875358350 \tabularnewline
39 & 7013.1 & 7006.53780644166 & 7005.65 & 1.00012672720471 & 1.00093658148141 \tabularnewline
40 & 7030.9 & 7052.65737765322 & 7050.75 & 1.00027052124288 & 0.996915009975934 \tabularnewline
41 & 7112.1 & 7081.41768683883 & 7086.3125 & 0.999309258071646 & 1.00433279246022 \tabularnewline
42 & 7130.3 & 7108.86079213179 & 7106.775 & 1.00029349348077 & 1.00301584297331 \tabularnewline
43 & 7130.8 & 7104.51272095545 & 7103.6125 & 1.00012672720471 & 1.00370008191653 \tabularnewline
44 & 7076.9 & 7091.14278595803 & 7089.225 & 1.00027052124288 & 0.997991468175448 \tabularnewline
45 & 7040.8 & 7077.59532892671 & 7082.4875 & 0.999309258071646 & 0.994801153892435 \tabularnewline
46 & 7086.5 & 7092.95612558545 & 7090.875 & 1.00029349348077 & 0.99908978351605 \tabularnewline
47 & 7120.7 & 7124.85279826998 & 7123.95 & 1.00012672720471 & 0.99941713907816 \tabularnewline
48 & 7154.1 & 7175.74066529215 & 7173.8 & 1.00027052124288 & 0.996984190719597 \tabularnewline
49 & 7228.2 & 7226.33002062495 & 7231.325 & 0.999309258071646 & 1.00025877303828 \tabularnewline
50 & 7297.9 & 7301.64235566287 & 7299.5 & 1.00029349348077 & 0.999487463849833 \tabularnewline
51 & 7369.5 & 7366.44591081037 & 7365.5125 & 1.00012672720471 & 1.00041459466704 \tabularnewline
52 & 7450.7 & 7421.4071053094 & 7419.4 & 1.00027052124288 & 1.00394708096119 \tabularnewline
53 & 7459.7 & 7460.00599925928 & 7465.1625 & 0.999309258071646 & 0.999958981365524 \tabularnewline
54 & 7497.5 & 7511.5164342638 & 7509.3125 & 1.00029349348077 & 0.998134007375679 \tabularnewline
55 & 7536 & 7565.53363744455 & 7564.575 & 1.00012672720471 & 0.996096291569126 \tabularnewline
56 & 7637.4 & 7638.34077460395 & 7636.275 & 1.00027052124288 & 0.999876835214386 \tabularnewline
57 & 7715.1 & 7711.15739854413 & 7716.4875 & 0.999309258071646 & 1.00051128530415 \tabularnewline
58 & 7815.7 & 7798.48813387477 & 7796.2 & 1.00029349348077 & 1.0022070772988 \tabularnewline
59 & 7859.5 & 7868.7970643012 & 7867.8 & 1.00012672720471 & 0.998818489760858 \tabularnewline
60 & 7951.6 & 7923.80547798515 & 7921.6625 & 1.00027052124288 & 1.00350772392029 \tabularnewline
61 & 7973.7 & 7961.89658276003 & 7967.4 & 0.999309258071646 & 1.00148248813801 \tabularnewline
62 & 7988 & 8014.0013670452 & 8011.65 & 1.00029349348077 & 0.996755507535584 \tabularnewline
63 & 8053.1 & 8057.15843178612 & 8056.1375 & 1.00012672720471 & 0.999496294900929 \tabularnewline
64 & 8112 & 8122.15912234762 & 8119.9625 & 1.00027052124288 & 0.998749209145674 \tabularnewline
65 & 8169.2 & 8193.63639970685 & 8199.3 & 0.999309258071646 & 0.997017636795828 \tabularnewline
66 & 8303.1 & 8286.5063220067 & 8284.075 & 1.00029349348077 & 1.00200249385549 \tabularnewline
67 & 8372.7 & 8375.82381024172 & 8374.7625 & 1.00012672720471 & 0.999627044418258 \tabularnewline
68 & 8470.6 & 8468.25272269765 & 8465.9625 & 1.00027052124288 & 1.00027718555164 \tabularnewline
69 & 8536.1 & 8555.51126478604 & 8561.425 & 0.999309258071646 & 0.997731139123627 \tabularnewline
70 & 8665.8 & 8660.0659271471 & 8657.525 & 1.00029349348077 & 1.00066212808322 \tabularnewline
71 & 8773.7 & 8754.6218081705 & 8753.5125 & 1.00012672720471 & 1.00217921370535 \tabularnewline
72 & 8838.4 & 8847.10518261839 & 8844.7125 & 1.00027052124288 & 0.999016041695142 \tabularnewline
73 & 8936.2 & 8920.38405763945 & 8926.55 & 0.999309258071646 & 1.00177301137018 \tabularnewline
74 & 8995.3 & 9019.6839417221 & 9017.0375 & 1.00029349348077 & 0.997296585791737 \tabularnewline
75 & 9098.9 & 9115.44252817778 & 9114.2875 & 1.00012672720471 & 0.99818521940908 \tabularnewline
76 & 9237.1 & 9213.8543692321 & 9211.3625 & 1.00027052124288 & 1.00252289973733 \tabularnewline
77 & 9315.5 & 9305.0056997055 & 9311.4375 & 0.999309258071646 & 1.00112781234458 \tabularnewline
78 & 9392.6 & 9418.86356396427 & 9416.1 & 1.00029349348077 & 0.997211599490118 \tabularnewline
79 & 9502.2 & 9519.06867210942 & 9517.8625 & 1.00012672720471 & 0.998227907299498 \tabularnewline
80 & 9671.1 & 9624.89053317382 & 9622.2875 & 1.00027052124288 & 1.00480103816941 \tabularnewline
81 & 9695.6 & 9714.28529771447 & 9721 & 0.999309258071646 & 0.998076513388086 \tabularnewline
82 & 9847.9 & 9792.74826449004 & 9789.875 & 1.00029349348077 & 1.00563189556398 \tabularnewline
83 & 9836.6 & 9840.69692599437 & 9839.45 & 1.00012672720471 & 0.99958367521882 \tabularnewline
84 & 9887.7 & 9871.8698282502 & 9869.2 & 1.00027052124288 & 1.00160356366374 \tabularnewline
85 & 9875.6 & 9873.93744305714 & 9880.7625 & 0.999309258071646 & 1.00016837831437 \tabularnewline
86 & 9905.9 & 9890.76452318248 & 9887.8625 & 1.00029349348077 & 1.00153026358903 \tabularnewline
87 & 9871.1 & 9904.61752544684 & 9903.3625 & 1.00012672720471 & 0.996615969737274 \tabularnewline
88 & 9910 & 9934.47425949849 & 9931.7875 & 1.00027052124288 & 0.99753643133404 \tabularnewline
89 & 9977.3 & 9968.05988380177 & 9974.95 & 0.999309258071646 & 1.00092697238038 \tabularnewline
90 & 10031.6 & 10028.5674555781 & 10025.625 & 1.00029349348077 & 1.00030239058921 \tabularnewline
91 & 10090.7 & 10068.7133182129 & 10067.4375 & 1.00012672720471 & 1.00218366350220 \tabularnewline
92 & 10095.8 & 10111.3971079433 & 10108.6625 & 1.00027052124288 & 0.998457472515734 \tabularnewline
93 & 10126 & 10162.7752927370 & 10169.8 & 0.999309258071646 & 0.996381373032688 \tabularnewline
94 & 10212.7 & 10257.7096875972 & 10254.7 & 1.00029349348077 & 0.995612111380803 \tabularnewline
95 & 10398.7 & 10354.6120447685 & 10353.3 & 1.00012672720471 & 1.00425780850513 \tabularnewline
96 & 10467 & 10461.0166618807 & 10458.1875 & 1.00027052124288 & 1.00057196526042 \tabularnewline
97 & 10543.6 & 10544.8362048293 & 10552.125 & 0.999309258071646 & 0.999882766805927 \tabularnewline
98 & 10634.2 & 10637.6711710959 & 10634.55 & 1.00029349348077 & 0.99967369069413 \tabularnewline
99 & 10728.7 & 10718.6081671347 & 10717.25 & 1.00012672720471 & 1.00094152456252 \tabularnewline
100 & 10796.4 & 10800.6835241318 & 10797.7625 & 1.00027052124288 & 0.999603402495572 \tabularnewline
101 & 10875.8 & 10869.3993604852 & 10876.9125 & 0.999309258071646 & 1.00058886782080 \tabularnewline
102 & 10946.1 & 10956.5022184742 & 10953.2875 & 1.00029349348077 & 0.999050589479488 \tabularnewline
103 & 11050 & 11033.5855782837 & 11032.1875 & 1.00012672720471 & 1.00148767792662 \tabularnewline
104 & 11086.1 & 11121.0826754674 & 11118.075 & 1.00027052124288 & 0.996854382213652 \tabularnewline
105 & 11217.3 & 11186.5551362657 & 11194.2875 & 0.999309258071646 & 1.00274837636429 \tabularnewline
106 & 11291.7 & 11264.3925557676 & 11261.0875 & 1.00029349348077 & 1.00242422696982 \tabularnewline
107 & 11314.1 & 11313.8710935828 & 11312.4375 & 1.00012672720471 & 1.00002023236921 \tabularnewline
108 & 11356.4 & 11358.0342585683 & 11354.9625 & 1.00027052124288 & 0.999856114312467 \tabularnewline
109 & 11357.8 & 11410.9875042629 & 11418.875 & 0.999309258071646 & 0.995338921873063 \tabularnewline
110 & 11491.4 & 11494.2349932322 & 11490.8625 & 1.00029349348077 & 0.999753355205124 \tabularnewline
111 & 11625.7 & NA & NA & 1.00012672720471 & NA \tabularnewline
112 & 11620.7 & NA & NA & 1.00027052124288 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=76745&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]5221.3[/C][C]NA[/C][C]NA[/C][C]0.999309258071646[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]5115.9[/C][C]NA[/C][C]NA[/C][C]1.00029349348077[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]5107.4[/C][C]5173.10549012999[/C][C]5172.45[/C][C]1.00012672720471[/C][C]0.98729863710389[/C][/ROW]
[ROW][C]4[/C][C]5202.1[/C][C]5203.40725150545[/C][C]5202[/C][C]1.00027052124288[/C][C]0.999748770095773[/C][/ROW]
[ROW][C]5[/C][C]5307.5[/C][C]5244.94958918339[/C][C]5248.575[/C][C]0.999309258071646[/C][C]1.01192583641711[/C][/ROW]
[ROW][C]6[/C][C]5266.1[/C][C]5285.58833055839[/C][C]5284.0375[/C][C]1.00029349348077[/C][C]0.996312930682529[/C][/ROW]
[ROW][C]7[/C][C]5329.8[/C][C]5276.06853669572[/C][C]5275.4[/C][C]1.00012672720471[/C][C]1.01018399646073[/C][/ROW]
[ROW][C]8[/C][C]5263.4[/C][C]5252.87062878091[/C][C]5251.45[/C][C]1.00027052124288[/C][C]1.00200449848534[/C][/ROW]
[ROW][C]9[/C][C]5177.1[/C][C]5222.11537263645[/C][C]5225.725[/C][C]0.999309258071646[/C][C]0.991379858654152[/C][/ROW]
[ROW][C]10[/C][C]5204.9[/C][C]5199.9757111851[/C][C]5198.45[/C][C]1.00029349348077[/C][C]1.00094698304154[/C][/ROW]
[ROW][C]11[/C][C]5185.2[/C][C]5199.49633414411[/C][C]5198.8375[/C][C]1.00012672720471[/C][C]0.997250438653024[/C][/ROW]
[ROW][C]12[/C][C]5189.8[/C][C]5230.76465026144[/C][C]5229.35[/C][C]1.00027052124288[/C][C]0.99216851588622[/C][/ROW]
[ROW][C]13[/C][C]5253.8[/C][C]5283.27309923044[/C][C]5286.925[/C][C]0.999309258071646[/C][C]0.994421431813788[/C][/ROW]
[ROW][C]14[/C][C]5372.3[/C][C]5375.2396349116[/C][C]5373.6625[/C][C]1.00029349348077[/C][C]0.999453115561117[/C][/ROW]
[ROW][C]15[/C][C]5478.4[/C][C]5480.1944017182[/C][C]5479.5[/C][C]1.00012672720471[/C][C]0.999672566046629[/C][/ROW]
[ROW][C]16[/C][C]5590.5[/C][C]5589.96179443976[/C][C]5588.45[/C][C]1.00027052124288[/C][C]1.00009628072249[/C][/ROW]
[ROW][C]17[/C][C]5699.8[/C][C]5684.70811956354[/C][C]5688.6375[/C][C]0.999309258071646[/C][C]1.00265482063794[/C][/ROW]
[ROW][C]18[/C][C]5797.9[/C][C]5776.30731112271[/C][C]5774.6125[/C][C]1.00029349348077[/C][C]1.00373814752475[/C][/ROW]
[ROW][C]19[/C][C]5854.3[/C][C]5846.47831397283[/C][C]5845.7375[/C][C]1.00012672720471[/C][C]1.00133784572646[/C][/ROW]
[ROW][C]20[/C][C]5902.4[/C][C]5905.70968785159[/C][C]5904.1125[/C][C]1.00027052124288[/C][C]0.999439578301928[/C][/ROW]
[ROW][C]21[/C][C]5956.9[/C][C]5957.15729741105[/C][C]5961.275[/C][C]0.999309258071646[/C][C]0.99995680869277[/C][/ROW]
[ROW][C]22[/C][C]6007.8[/C][C]6024.74270389733[/C][C]6022.975[/C][C]1.00029349348077[/C][C]0.997187812869358[/C][/ROW]
[ROW][C]23[/C][C]6101.7[/C][C]6085.8336429611[/C][C]6085.0625[/C][C]1.00012672720471[/C][C]1.00260709673805[/C][/ROW]
[ROW][C]24[/C][C]6148.6[/C][C]6146.06219072473[/C][C]6144.4[/C][C]1.00027052124288[/C][C]1.00041291630259[/C][/ROW]
[ROW][C]25[/C][C]6207.4[/C][C]6191.89504213208[/C][C]6196.175[/C][C]0.999309258071646[/C][C]1.00250407310887[/C][/ROW]
[ROW][C]26[/C][C]6232[/C][C]6243.60692027092[/C][C]6241.775[/C][C]1.00029349348077[/C][C]0.998140991190006[/C][/ROW]
[ROW][C]27[/C][C]6291.7[/C][C]6284.12126821352[/C][C]6283.325[/C][C]1.00012672720471[/C][C]1.00120601297509[/C][/ROW]
[ROW][C]28[/C][C]6323.4[/C][C]6330.11196663342[/C][C]6328.4[/C][C]1.00027052124288[/C][C]0.998939676475108[/C][/ROW]
[ROW][C]29[/C][C]6365[/C][C]6374.5812658733[/C][C]6378.9875[/C][C]0.999309258071646[/C][C]0.998496957608087[/C][/ROW]
[ROW][C]30[/C][C]6435[/C][C]6441.5149879561[/C][C]6439.625[/C][C]1.00029349348077[/C][C]0.998988593837277[/C][/ROW]
[ROW][C]31[/C][C]6493.4[/C][C]6510.1374069777[/C][C]6509.3125[/C][C]1.00012672720471[/C][C]0.99742902400804[/C][/ROW]
[ROW][C]32[/C][C]6606.8[/C][C]6581.41743171418[/C][C]6579.6375[/C][C]1.00027052124288[/C][C]1.00385670238200[/C][/ROW]
[ROW][C]33[/C][C]6639.1[/C][C]6644.35729145547[/C][C]6648.95[/C][C]0.999309258071646[/C][C]0.99920875846604[/C][/ROW]
[ROW][C]34[/C][C]6723.5[/C][C]6714.39505297765[/C][C]6712.425[/C][C]1.00029349348077[/C][C]1.00135603385718[/C][/ROW]
[ROW][C]35[/C][C]6759.4[/C][C]6778.38389679809[/C][C]6777.525[/C][C]1.00012672720471[/C][C]0.997199347648773[/C][/ROW]
[ROW][C]36[/C][C]6848.6[/C][C]6844.25101455226[/C][C]6842.4[/C][C]1.00027052124288[/C][C]1.00063542167558[/C][/ROW]
[ROW][C]37[/C][C]6918.1[/C][C]6899.34354001818[/C][C]6904.1125[/C][C]0.999309258071646[/C][C]1.00271858617752[/C][/ROW]
[ROW][C]38[/C][C]6963.5[/C][C]6960.65480740394[/C][C]6958.6125[/C][C]1.00029349348077[/C][C]1.00040875358350[/C][/ROW]
[ROW][C]39[/C][C]7013.1[/C][C]7006.53780644166[/C][C]7005.65[/C][C]1.00012672720471[/C][C]1.00093658148141[/C][/ROW]
[ROW][C]40[/C][C]7030.9[/C][C]7052.65737765322[/C][C]7050.75[/C][C]1.00027052124288[/C][C]0.996915009975934[/C][/ROW]
[ROW][C]41[/C][C]7112.1[/C][C]7081.41768683883[/C][C]7086.3125[/C][C]0.999309258071646[/C][C]1.00433279246022[/C][/ROW]
[ROW][C]42[/C][C]7130.3[/C][C]7108.86079213179[/C][C]7106.775[/C][C]1.00029349348077[/C][C]1.00301584297331[/C][/ROW]
[ROW][C]43[/C][C]7130.8[/C][C]7104.51272095545[/C][C]7103.6125[/C][C]1.00012672720471[/C][C]1.00370008191653[/C][/ROW]
[ROW][C]44[/C][C]7076.9[/C][C]7091.14278595803[/C][C]7089.225[/C][C]1.00027052124288[/C][C]0.997991468175448[/C][/ROW]
[ROW][C]45[/C][C]7040.8[/C][C]7077.59532892671[/C][C]7082.4875[/C][C]0.999309258071646[/C][C]0.994801153892435[/C][/ROW]
[ROW][C]46[/C][C]7086.5[/C][C]7092.95612558545[/C][C]7090.875[/C][C]1.00029349348077[/C][C]0.99908978351605[/C][/ROW]
[ROW][C]47[/C][C]7120.7[/C][C]7124.85279826998[/C][C]7123.95[/C][C]1.00012672720471[/C][C]0.99941713907816[/C][/ROW]
[ROW][C]48[/C][C]7154.1[/C][C]7175.74066529215[/C][C]7173.8[/C][C]1.00027052124288[/C][C]0.996984190719597[/C][/ROW]
[ROW][C]49[/C][C]7228.2[/C][C]7226.33002062495[/C][C]7231.325[/C][C]0.999309258071646[/C][C]1.00025877303828[/C][/ROW]
[ROW][C]50[/C][C]7297.9[/C][C]7301.64235566287[/C][C]7299.5[/C][C]1.00029349348077[/C][C]0.999487463849833[/C][/ROW]
[ROW][C]51[/C][C]7369.5[/C][C]7366.44591081037[/C][C]7365.5125[/C][C]1.00012672720471[/C][C]1.00041459466704[/C][/ROW]
[ROW][C]52[/C][C]7450.7[/C][C]7421.4071053094[/C][C]7419.4[/C][C]1.00027052124288[/C][C]1.00394708096119[/C][/ROW]
[ROW][C]53[/C][C]7459.7[/C][C]7460.00599925928[/C][C]7465.1625[/C][C]0.999309258071646[/C][C]0.999958981365524[/C][/ROW]
[ROW][C]54[/C][C]7497.5[/C][C]7511.5164342638[/C][C]7509.3125[/C][C]1.00029349348077[/C][C]0.998134007375679[/C][/ROW]
[ROW][C]55[/C][C]7536[/C][C]7565.53363744455[/C][C]7564.575[/C][C]1.00012672720471[/C][C]0.996096291569126[/C][/ROW]
[ROW][C]56[/C][C]7637.4[/C][C]7638.34077460395[/C][C]7636.275[/C][C]1.00027052124288[/C][C]0.999876835214386[/C][/ROW]
[ROW][C]57[/C][C]7715.1[/C][C]7711.15739854413[/C][C]7716.4875[/C][C]0.999309258071646[/C][C]1.00051128530415[/C][/ROW]
[ROW][C]58[/C][C]7815.7[/C][C]7798.48813387477[/C][C]7796.2[/C][C]1.00029349348077[/C][C]1.0022070772988[/C][/ROW]
[ROW][C]59[/C][C]7859.5[/C][C]7868.7970643012[/C][C]7867.8[/C][C]1.00012672720471[/C][C]0.998818489760858[/C][/ROW]
[ROW][C]60[/C][C]7951.6[/C][C]7923.80547798515[/C][C]7921.6625[/C][C]1.00027052124288[/C][C]1.00350772392029[/C][/ROW]
[ROW][C]61[/C][C]7973.7[/C][C]7961.89658276003[/C][C]7967.4[/C][C]0.999309258071646[/C][C]1.00148248813801[/C][/ROW]
[ROW][C]62[/C][C]7988[/C][C]8014.0013670452[/C][C]8011.65[/C][C]1.00029349348077[/C][C]0.996755507535584[/C][/ROW]
[ROW][C]63[/C][C]8053.1[/C][C]8057.15843178612[/C][C]8056.1375[/C][C]1.00012672720471[/C][C]0.999496294900929[/C][/ROW]
[ROW][C]64[/C][C]8112[/C][C]8122.15912234762[/C][C]8119.9625[/C][C]1.00027052124288[/C][C]0.998749209145674[/C][/ROW]
[ROW][C]65[/C][C]8169.2[/C][C]8193.63639970685[/C][C]8199.3[/C][C]0.999309258071646[/C][C]0.997017636795828[/C][/ROW]
[ROW][C]66[/C][C]8303.1[/C][C]8286.5063220067[/C][C]8284.075[/C][C]1.00029349348077[/C][C]1.00200249385549[/C][/ROW]
[ROW][C]67[/C][C]8372.7[/C][C]8375.82381024172[/C][C]8374.7625[/C][C]1.00012672720471[/C][C]0.999627044418258[/C][/ROW]
[ROW][C]68[/C][C]8470.6[/C][C]8468.25272269765[/C][C]8465.9625[/C][C]1.00027052124288[/C][C]1.00027718555164[/C][/ROW]
[ROW][C]69[/C][C]8536.1[/C][C]8555.51126478604[/C][C]8561.425[/C][C]0.999309258071646[/C][C]0.997731139123627[/C][/ROW]
[ROW][C]70[/C][C]8665.8[/C][C]8660.0659271471[/C][C]8657.525[/C][C]1.00029349348077[/C][C]1.00066212808322[/C][/ROW]
[ROW][C]71[/C][C]8773.7[/C][C]8754.6218081705[/C][C]8753.5125[/C][C]1.00012672720471[/C][C]1.00217921370535[/C][/ROW]
[ROW][C]72[/C][C]8838.4[/C][C]8847.10518261839[/C][C]8844.7125[/C][C]1.00027052124288[/C][C]0.999016041695142[/C][/ROW]
[ROW][C]73[/C][C]8936.2[/C][C]8920.38405763945[/C][C]8926.55[/C][C]0.999309258071646[/C][C]1.00177301137018[/C][/ROW]
[ROW][C]74[/C][C]8995.3[/C][C]9019.6839417221[/C][C]9017.0375[/C][C]1.00029349348077[/C][C]0.997296585791737[/C][/ROW]
[ROW][C]75[/C][C]9098.9[/C][C]9115.44252817778[/C][C]9114.2875[/C][C]1.00012672720471[/C][C]0.99818521940908[/C][/ROW]
[ROW][C]76[/C][C]9237.1[/C][C]9213.8543692321[/C][C]9211.3625[/C][C]1.00027052124288[/C][C]1.00252289973733[/C][/ROW]
[ROW][C]77[/C][C]9315.5[/C][C]9305.0056997055[/C][C]9311.4375[/C][C]0.999309258071646[/C][C]1.00112781234458[/C][/ROW]
[ROW][C]78[/C][C]9392.6[/C][C]9418.86356396427[/C][C]9416.1[/C][C]1.00029349348077[/C][C]0.997211599490118[/C][/ROW]
[ROW][C]79[/C][C]9502.2[/C][C]9519.06867210942[/C][C]9517.8625[/C][C]1.00012672720471[/C][C]0.998227907299498[/C][/ROW]
[ROW][C]80[/C][C]9671.1[/C][C]9624.89053317382[/C][C]9622.2875[/C][C]1.00027052124288[/C][C]1.00480103816941[/C][/ROW]
[ROW][C]81[/C][C]9695.6[/C][C]9714.28529771447[/C][C]9721[/C][C]0.999309258071646[/C][C]0.998076513388086[/C][/ROW]
[ROW][C]82[/C][C]9847.9[/C][C]9792.74826449004[/C][C]9789.875[/C][C]1.00029349348077[/C][C]1.00563189556398[/C][/ROW]
[ROW][C]83[/C][C]9836.6[/C][C]9840.69692599437[/C][C]9839.45[/C][C]1.00012672720471[/C][C]0.99958367521882[/C][/ROW]
[ROW][C]84[/C][C]9887.7[/C][C]9871.8698282502[/C][C]9869.2[/C][C]1.00027052124288[/C][C]1.00160356366374[/C][/ROW]
[ROW][C]85[/C][C]9875.6[/C][C]9873.93744305714[/C][C]9880.7625[/C][C]0.999309258071646[/C][C]1.00016837831437[/C][/ROW]
[ROW][C]86[/C][C]9905.9[/C][C]9890.76452318248[/C][C]9887.8625[/C][C]1.00029349348077[/C][C]1.00153026358903[/C][/ROW]
[ROW][C]87[/C][C]9871.1[/C][C]9904.61752544684[/C][C]9903.3625[/C][C]1.00012672720471[/C][C]0.996615969737274[/C][/ROW]
[ROW][C]88[/C][C]9910[/C][C]9934.47425949849[/C][C]9931.7875[/C][C]1.00027052124288[/C][C]0.99753643133404[/C][/ROW]
[ROW][C]89[/C][C]9977.3[/C][C]9968.05988380177[/C][C]9974.95[/C][C]0.999309258071646[/C][C]1.00092697238038[/C][/ROW]
[ROW][C]90[/C][C]10031.6[/C][C]10028.5674555781[/C][C]10025.625[/C][C]1.00029349348077[/C][C]1.00030239058921[/C][/ROW]
[ROW][C]91[/C][C]10090.7[/C][C]10068.7133182129[/C][C]10067.4375[/C][C]1.00012672720471[/C][C]1.00218366350220[/C][/ROW]
[ROW][C]92[/C][C]10095.8[/C][C]10111.3971079433[/C][C]10108.6625[/C][C]1.00027052124288[/C][C]0.998457472515734[/C][/ROW]
[ROW][C]93[/C][C]10126[/C][C]10162.7752927370[/C][C]10169.8[/C][C]0.999309258071646[/C][C]0.996381373032688[/C][/ROW]
[ROW][C]94[/C][C]10212.7[/C][C]10257.7096875972[/C][C]10254.7[/C][C]1.00029349348077[/C][C]0.995612111380803[/C][/ROW]
[ROW][C]95[/C][C]10398.7[/C][C]10354.6120447685[/C][C]10353.3[/C][C]1.00012672720471[/C][C]1.00425780850513[/C][/ROW]
[ROW][C]96[/C][C]10467[/C][C]10461.0166618807[/C][C]10458.1875[/C][C]1.00027052124288[/C][C]1.00057196526042[/C][/ROW]
[ROW][C]97[/C][C]10543.6[/C][C]10544.8362048293[/C][C]10552.125[/C][C]0.999309258071646[/C][C]0.999882766805927[/C][/ROW]
[ROW][C]98[/C][C]10634.2[/C][C]10637.6711710959[/C][C]10634.55[/C][C]1.00029349348077[/C][C]0.99967369069413[/C][/ROW]
[ROW][C]99[/C][C]10728.7[/C][C]10718.6081671347[/C][C]10717.25[/C][C]1.00012672720471[/C][C]1.00094152456252[/C][/ROW]
[ROW][C]100[/C][C]10796.4[/C][C]10800.6835241318[/C][C]10797.7625[/C][C]1.00027052124288[/C][C]0.999603402495572[/C][/ROW]
[ROW][C]101[/C][C]10875.8[/C][C]10869.3993604852[/C][C]10876.9125[/C][C]0.999309258071646[/C][C]1.00058886782080[/C][/ROW]
[ROW][C]102[/C][C]10946.1[/C][C]10956.5022184742[/C][C]10953.2875[/C][C]1.00029349348077[/C][C]0.999050589479488[/C][/ROW]
[ROW][C]103[/C][C]11050[/C][C]11033.5855782837[/C][C]11032.1875[/C][C]1.00012672720471[/C][C]1.00148767792662[/C][/ROW]
[ROW][C]104[/C][C]11086.1[/C][C]11121.0826754674[/C][C]11118.075[/C][C]1.00027052124288[/C][C]0.996854382213652[/C][/ROW]
[ROW][C]105[/C][C]11217.3[/C][C]11186.5551362657[/C][C]11194.2875[/C][C]0.999309258071646[/C][C]1.00274837636429[/C][/ROW]
[ROW][C]106[/C][C]11291.7[/C][C]11264.3925557676[/C][C]11261.0875[/C][C]1.00029349348077[/C][C]1.00242422696982[/C][/ROW]
[ROW][C]107[/C][C]11314.1[/C][C]11313.8710935828[/C][C]11312.4375[/C][C]1.00012672720471[/C][C]1.00002023236921[/C][/ROW]
[ROW][C]108[/C][C]11356.4[/C][C]11358.0342585683[/C][C]11354.9625[/C][C]1.00027052124288[/C][C]0.999856114312467[/C][/ROW]
[ROW][C]109[/C][C]11357.8[/C][C]11410.9875042629[/C][C]11418.875[/C][C]0.999309258071646[/C][C]0.995338921873063[/C][/ROW]
[ROW][C]110[/C][C]11491.4[/C][C]11494.2349932322[/C][C]11490.8625[/C][C]1.00029349348077[/C][C]0.999753355205124[/C][/ROW]
[ROW][C]111[/C][C]11625.7[/C][C]NA[/C][C]NA[/C][C]1.00012672720471[/C][C]NA[/C][/ROW]
[ROW][C]112[/C][C]11620.7[/C][C]NA[/C][C]NA[/C][C]1.00027052124288[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=76745&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=76745&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
15221.3NANA0.999309258071646NA
25115.9NANA1.00029349348077NA
35107.45173.105490129995172.451.000126727204710.98729863710389
45202.15203.4072515054552021.000270521242880.999748770095773
55307.55244.949589183395248.5750.9993092580716461.01192583641711
65266.15285.588330558395284.03751.000293493480770.996312930682529
75329.85276.068536695725275.41.000126727204711.01018399646073
85263.45252.870628780915251.451.000270521242881.00200449848534
95177.15222.115372636455225.7250.9993092580716460.991379858654152
105204.95199.97571118515198.451.000293493480771.00094698304154
115185.25199.496334144115198.83751.000126727204710.997250438653024
125189.85230.764650261445229.351.000270521242880.99216851588622
135253.85283.273099230445286.9250.9993092580716460.994421431813788
145372.35375.23963491165373.66251.000293493480770.999453115561117
155478.45480.19440171825479.51.000126727204710.999672566046629
165590.55589.961794439765588.451.000270521242881.00009628072249
175699.85684.708119563545688.63750.9993092580716461.00265482063794
185797.95776.307311122715774.61251.000293493480771.00373814752475
195854.35846.478313972835845.73751.000126727204711.00133784572646
205902.45905.709687851595904.11251.000270521242880.999439578301928
215956.95957.157297411055961.2750.9993092580716460.99995680869277
226007.86024.742703897336022.9751.000293493480770.997187812869358
236101.76085.83364296116085.06251.000126727204711.00260709673805
246148.66146.062190724736144.41.000270521242881.00041291630259
256207.46191.895042132086196.1750.9993092580716461.00250407310887
2662326243.606920270926241.7751.000293493480770.998140991190006
276291.76284.121268213526283.3251.000126727204711.00120601297509
286323.46330.111966633426328.41.000270521242880.998939676475108
2963656374.58126587336378.98750.9993092580716460.998496957608087
3064356441.51498795616439.6251.000293493480770.998988593837277
316493.46510.13740697776509.31251.000126727204710.99742902400804
326606.86581.417431714186579.63751.000270521242881.00385670238200
336639.16644.357291455476648.950.9993092580716460.99920875846604
346723.56714.395052977656712.4251.000293493480771.00135603385718
356759.46778.383896798096777.5251.000126727204710.997199347648773
366848.66844.251014552266842.41.000270521242881.00063542167558
376918.16899.343540018186904.11250.9993092580716461.00271858617752
386963.56960.654807403946958.61251.000293493480771.00040875358350
397013.17006.537806441667005.651.000126727204711.00093658148141
407030.97052.657377653227050.751.000270521242880.996915009975934
417112.17081.417686838837086.31250.9993092580716461.00433279246022
427130.37108.860792131797106.7751.000293493480771.00301584297331
437130.87104.512720955457103.61251.000126727204711.00370008191653
447076.97091.142785958037089.2251.000270521242880.997991468175448
457040.87077.595328926717082.48750.9993092580716460.994801153892435
467086.57092.956125585457090.8751.000293493480770.99908978351605
477120.77124.852798269987123.951.000126727204710.99941713907816
487154.17175.740665292157173.81.000270521242880.996984190719597
497228.27226.330020624957231.3250.9993092580716461.00025877303828
507297.97301.642355662877299.51.000293493480770.999487463849833
517369.57366.445910810377365.51251.000126727204711.00041459466704
527450.77421.40710530947419.41.000270521242881.00394708096119
537459.77460.005999259287465.16250.9993092580716460.999958981365524
547497.57511.51643426387509.31251.000293493480770.998134007375679
5575367565.533637444557564.5751.000126727204710.996096291569126
567637.47638.340774603957636.2751.000270521242880.999876835214386
577715.17711.157398544137716.48750.9993092580716461.00051128530415
587815.77798.488133874777796.21.000293493480771.0022070772988
597859.57868.79706430127867.81.000126727204710.998818489760858
607951.67923.805477985157921.66251.000270521242881.00350772392029
617973.77961.896582760037967.40.9993092580716461.00148248813801
6279888014.00136704528011.651.000293493480770.996755507535584
638053.18057.158431786128056.13751.000126727204710.999496294900929
6481128122.159122347628119.96251.000270521242880.998749209145674
658169.28193.636399706858199.30.9993092580716460.997017636795828
668303.18286.50632200678284.0751.000293493480771.00200249385549
678372.78375.823810241728374.76251.000126727204710.999627044418258
688470.68468.252722697658465.96251.000270521242881.00027718555164
698536.18555.511264786048561.4250.9993092580716460.997731139123627
708665.88660.06592714718657.5251.000293493480771.00066212808322
718773.78754.62180817058753.51251.000126727204711.00217921370535
728838.48847.105182618398844.71251.000270521242880.999016041695142
738936.28920.384057639458926.550.9993092580716461.00177301137018
748995.39019.68394172219017.03751.000293493480770.997296585791737
759098.99115.442528177789114.28751.000126727204710.99818521940908
769237.19213.85436923219211.36251.000270521242881.00252289973733
779315.59305.00569970559311.43750.9993092580716461.00112781234458
789392.69418.863563964279416.11.000293493480770.997211599490118
799502.29519.068672109429517.86251.000126727204710.998227907299498
809671.19624.890533173829622.28751.000270521242881.00480103816941
819695.69714.2852977144797210.9993092580716460.998076513388086
829847.99792.748264490049789.8751.000293493480771.00563189556398
839836.69840.696925994379839.451.000126727204710.99958367521882
849887.79871.86982825029869.21.000270521242881.00160356366374
859875.69873.937443057149880.76250.9993092580716461.00016837831437
869905.99890.764523182489887.86251.000293493480771.00153026358903
879871.19904.617525446849903.36251.000126727204710.996615969737274
8899109934.474259498499931.78751.000270521242880.99753643133404
899977.39968.059883801779974.950.9993092580716461.00092697238038
9010031.610028.567455578110025.6251.000293493480771.00030239058921
9110090.710068.713318212910067.43751.000126727204711.00218366350220
9210095.810111.397107943310108.66251.000270521242880.998457472515734
931012610162.775292737010169.80.9993092580716460.996381373032688
9410212.710257.709687597210254.71.000293493480770.995612111380803
9510398.710354.612044768510353.31.000126727204711.00425780850513
961046710461.016661880710458.18751.000270521242881.00057196526042
9710543.610544.836204829310552.1250.9993092580716460.999882766805927
9810634.210637.671171095910634.551.000293493480770.99967369069413
9910728.710718.608167134710717.251.000126727204711.00094152456252
10010796.410800.683524131810797.76251.000270521242880.999603402495572
10110875.810869.399360485210876.91250.9993092580716461.00058886782080
10210946.110956.502218474210953.28751.000293493480770.999050589479488
1031105011033.585578283711032.18751.000126727204711.00148767792662
10411086.111121.082675467411118.0751.000270521242880.996854382213652
10511217.311186.555136265711194.28750.9993092580716461.00274837636429
10611291.711264.392555767611261.08751.000293493480771.00242422696982
10711314.111313.871093582811312.43751.000126727204711.00002023236921
10811356.411358.034258568311354.96251.000270521242880.999856114312467
10911357.811410.987504262911418.8750.9993092580716460.995338921873063
11011491.411494.234993232211490.86251.000293493480770.999753355205124
11111625.7NANA1.00012672720471NA
11211620.7NANA1.00027052124288NA



Parameters (Session):
par1 = multiplicative ; par2 = 4 ;
Parameters (R input):
par1 = multiplicative ; par2 = 4 ;
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')