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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationThu, 03 Dec 2009 10:49:36 -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/2009/Dec/03/t12598626335e3kzvm4ujkeaco.htm/, Retrieved Fri, 29 Mar 2024 05:54:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62987, Retrieved Fri, 29 Mar 2024 05:54:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Classical Decomposition] [] [2009-11-27 14:58:37] [b98453cac15ba1066b407e146608df68]
-   PD      [Classical Decomposition] [workshop 9 bereke...] [2009-12-03 17:49:36] [78d370e6d5f4594e9982a5085e7604c6] [Current]
-   PD        [Classical Decomposition] [review workshop 9] [2009-12-04 10:30:04] [eaf42bcf5162b5692bb3c7f9d4636222]
-    D          [Classical Decomposition] [review workshop 9] [2009-12-06 10:41:04] [eaf42bcf5162b5692bb3c7f9d4636222]
-   PD        [Classical Decomposition] [] [2009-12-09 16:07:46] [3425351e86519d261a643e224a0c8ee1]
-   P         [Classical Decomposition] [] [2009-12-12 17:00:06] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
4716.99
4926.65
4920.10
5170.09
5246.24
5283.61
4979.05
4825.20
4695.12
4711.54
4727.22
4384.96
4378.75
4472.93
4564.07
4310.54
4171.38
4049.38
3591.37
3720.46
4107.23
4101.71
4162.34
4136.22
4125.88
4031.48
3761.36
3408.56
3228.47
3090.45
2741.14
2980.44
3104.33
3181.57
2863.86
2898.01
3112.33
3254.33
3513.47
3587.61
3727.45
3793.34
3817.58
3845.13
3931.86
4197.52
4307.13
4229.43
4362.28
4217.34
4361.28
4327.74
4417.65
4557.68
4650.35
4967.18
5123.42
5290.85
5535.66
5514.06
5493.88
5694.83
5850.41
6116.64
6175.00
6513.58
6383.78
6673.66
6936.61
7300.68
7392.93
7497.31
7584.71
7160.79
7196.19
7245.63
7347.51
7425.75
7778.51
7822.33
8181.22
8371.47
8347.71
8672.11
8802.79
9138.46
9123.29
9023.21
8850.41
8864.58
9163.74
8516.66
8553.44
7555.20
7851.22
7442.00
7992.53
8264.04
7517.39
7200.40
7193.69
6193.58
5104.21
4800.46
4461.61
4398.59
4243.63
4293.82




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62987&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62987&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62987&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
14716.99NANA1.01621417709746NA
24926.65NANA1.02316103477131NA
34920.1NANA1.02124609026921NA
45170.09NANA1.00268517095746NA
55246.24NANA1.00029270143372NA
65283.61NANA0.986143298146215NA
74979.054697.62080704794868.13750.964972909464431.05990887824106
84825.24712.678502820784835.139166666670.9746727737041921.02387633637896
94695.124806.532083197384801.399583333331.001068959118060.976820692909373
104711.544784.891235816124750.750416666671.007186405547570.984670239677118
114727.224708.47688689234670.151.008206778560071.00398071681309
124384.964547.179011927974573.937916666670.994149700930310.964325351717528
134378.754537.082968035564464.691666666671.016214177097460.965102474618376
144472.934461.842419506324360.840833333331.023161034771311.00248497805418
154564.074381.466994254124290.314583333331.021246090269211.04167622533397
164310.544251.795807994264240.409583333331.002685170957461.01381632483274
174171.384192.690180660364191.463333333331.000292701433720.994917301364489
184049.384099.952395999024157.56250.9861432981462150.987665126051616
193591.373991.766846025364136.662083333330.964972909464430.899694330488256
203720.464003.69462329624107.732083333330.9746727737041920.929256686649339
214107.234060.227666157674055.892083333331.001068959118061.01157628037317
224101.714013.500177298313984.863333333331.007186405547571.02197827801295
234162.343940.064949148073907.992916666671.008206778560071.05641405756522
244136.223806.350253207883828.749583333330.994149700930311.08666300388781
254125.883814.225688779433753.367916666671.016214177097461.08170840863911
264031.483772.504725013063687.10751.023161034771311.06864809824355
273761.363691.27952562513614.485833333331.021246090269211.01898541518961
283408.563543.849525254253534.359166666671.002685170957460.96182413381546
293228.473442.924120609733441.916666666671.000292701433720.937711633164965
303090.453289.992226820493336.221250.9861432981462150.939348723928953
312741.143128.826151287243242.397916666670.964972909464430.876092140457296
322980.443087.554198562193167.785416666670.9746727737041920.965307751160426
333104.333128.415994527933125.075416666671.001068959118060.992300897780198
343181.573144.644529637663122.207083333331.007186405547571.01174233526693
352863.863176.313447237723150.458333333331.008206778560070.901630159482702
362898.013181.812155754113200.536250.994149700930310.91080486783581
373112.333327.771160386633274.6751.016214177097460.935259622731511
383254.333433.273552349143355.555416666671.023161034771310.947879611216327
393513.473498.855060738963426.064583333331.021246090269211.00417706335568
403587.613512.282071574093502.876251.002685170957461.02144700422428
413727.453606.399039284663605.343751.000292701433721.03356560363862
423793.343669.395657739733720.955833333330.9861432981462151.03377786257496
433817.583694.411248117983828.512916666670.964972909464431.03333920985238
443845.133821.418631203843920.719583333330.9746727737041921.00620486031092
453931.864000.442159470883996.170416666671.001068959118060.98285635518851
464197.524091.528167119094062.334583333331.007186405547571.02590519447787
474307.134155.759447094744121.931666666671.008206778560071.03642428173052
484229.434158.068404754804182.53750.994149700930311.01716219847745
494362.284317.979146424444249.083751.016214177097461.01025962656912
504217.344430.834245396284330.534583333331.023161034771310.95181624191469
514361.284520.990060625914426.9351.021246090269210.964673653672267
524327.744534.281465637134522.138751.002685170957460.954448909446316
534417.654620.234870318544618.882916666671.000292701433720.956152690067773
544557.684658.144428658264723.597916666670.9861432981462150.978432521748323
554650.354655.293878662424824.274166666670.964972909464430.998938009330607
564967.184808.047390932144932.986250.9746727737041921.03309713822039
575123.425062.000710443655056.595416666671.001068959118061.01213340200242
585290.855230.500297561535193.181.007186405547571.01153803632639
595535.665384.772331968775340.940416666671.008206778560071.02802117874797
605514.065463.507916956585495.659166666670.994149700930311.00925267864745
615493.885740.981318078575649.381251.016214177097460.956958348340128
625694.835926.876010364315792.710833333331.023161034771310.960848512781686
635850.416065.552008374155939.363751.021246090269210.964530514604916
646116.646115.032184642066098.656251.002685170957461.00026292835579
6561756261.617664832876259.785416666671.000292701433720.986166886982042
666513.586330.849730620766419.807083333330.9861432981462151.02886346654153
676383.786358.747287362476589.560416666670.964972909464431.00393673651527
686673.666567.111227753166737.760.9746727737041921.01622460295732
696936.616862.24345811696854.915833333331.001068959118061.01083705967837
707300.687008.034484375166958.031251.007186405547571.04175857243244
717392.937111.817100885137053.927083333331.008206778560071.03952757714760
727497.317099.013000219027140.788750.994149700930311.05610596850135
737584.717354.250116955817236.909583333331.016214177097461.03133696561568
747160.797512.953388489637342.884583333331.023161034771310.953125838764131
757196.197600.730832148847442.604583333331.021246090269210.946776061265352
767245.637559.323300876517539.079583333331.002685170957460.958502462668829
777347.517625.70973637147623.478333333331.000292701433720.96351818440656
787425.757605.34502718237712.210833333330.9861432981462150.976385683155674
797778.517538.285541894737811.914166666670.964972909464431.03186725373697
807822.337743.843820287627945.070416666670.9746727737041921.01013529992776
818181.228116.436040444498107.769166666671.001068959118061.00798182345462
828371.478321.505856188758262.130833333331.007186405547571.00600421902895
838347.718467.744735388938398.81751.008206778560070.98582447403176
848672.118471.536905781498521.389583333330.994149700930311.02367611644135
858802.798779.133978527878639.058751.016214177097461.00269457346590
869138.468927.803488494688725.707083333331.023161034771311.02359555872582
879123.298956.477994420848770.146666666671.021246090269211.01862473236501
889023.218775.144245198558751.644583333331.002685170957461.02826913699307
898850.418699.491858636328696.946251.000292701433721.01734792604166
908864.588505.490466334558625.004583333330.9861432981462151.04221855695292
919163.748240.858192953048539.989166666670.964972909464431.11198855573515
928516.668255.277773128598469.794166666670.9746727737041921.03166243875188
938553.448375.390890340898366.44751.001068959118061.02125860297033
947555.28282.68259720398223.584583333331.007186405547570.912168239134324
957851.228144.903482136958078.604166666671.008206778560070.96394266883812
9674427852.07518523817898.28250.994149700930310.947774928848231
977992.537741.360817663287617.843751.016214177097461.03244509437716
988264.047462.78822927197293.8551.023161034771311.10736627465661
997517.397116.574230481976968.520416666671.021246090269211.05632144857019
1007200.46684.402781115386666.502083333331.002685170957461.07719421402050
1017193.696386.529215924416384.660416666671.000292701433721.12638488869087
1026193.586018.600192947036103.170.9861432981462151.02907317340301
1035104.21NANA0.96497290946443NA
1044800.46NANA0.974672773704192NA
1054461.61NANA1.00106895911806NA
1064398.59NANA1.00718640554757NA
1074243.63NANA1.00820677856007NA
1084293.82NANA0.99414970093031NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 4716.99 & NA & NA & 1.01621417709746 & NA \tabularnewline
2 & 4926.65 & NA & NA & 1.02316103477131 & NA \tabularnewline
3 & 4920.1 & NA & NA & 1.02124609026921 & NA \tabularnewline
4 & 5170.09 & NA & NA & 1.00268517095746 & NA \tabularnewline
5 & 5246.24 & NA & NA & 1.00029270143372 & NA \tabularnewline
6 & 5283.61 & NA & NA & 0.986143298146215 & NA \tabularnewline
7 & 4979.05 & 4697.6208070479 & 4868.1375 & 0.96497290946443 & 1.05990887824106 \tabularnewline
8 & 4825.2 & 4712.67850282078 & 4835.13916666667 & 0.974672773704192 & 1.02387633637896 \tabularnewline
9 & 4695.12 & 4806.53208319738 & 4801.39958333333 & 1.00106895911806 & 0.976820692909373 \tabularnewline
10 & 4711.54 & 4784.89123581612 & 4750.75041666667 & 1.00718640554757 & 0.984670239677118 \tabularnewline
11 & 4727.22 & 4708.4768868923 & 4670.15 & 1.00820677856007 & 1.00398071681309 \tabularnewline
12 & 4384.96 & 4547.17901192797 & 4573.93791666667 & 0.99414970093031 & 0.964325351717528 \tabularnewline
13 & 4378.75 & 4537.08296803556 & 4464.69166666667 & 1.01621417709746 & 0.965102474618376 \tabularnewline
14 & 4472.93 & 4461.84241950632 & 4360.84083333333 & 1.02316103477131 & 1.00248497805418 \tabularnewline
15 & 4564.07 & 4381.46699425412 & 4290.31458333333 & 1.02124609026921 & 1.04167622533397 \tabularnewline
16 & 4310.54 & 4251.79580799426 & 4240.40958333333 & 1.00268517095746 & 1.01381632483274 \tabularnewline
17 & 4171.38 & 4192.69018066036 & 4191.46333333333 & 1.00029270143372 & 0.994917301364489 \tabularnewline
18 & 4049.38 & 4099.95239599902 & 4157.5625 & 0.986143298146215 & 0.987665126051616 \tabularnewline
19 & 3591.37 & 3991.76684602536 & 4136.66208333333 & 0.96497290946443 & 0.899694330488256 \tabularnewline
20 & 3720.46 & 4003.6946232962 & 4107.73208333333 & 0.974672773704192 & 0.929256686649339 \tabularnewline
21 & 4107.23 & 4060.22766615767 & 4055.89208333333 & 1.00106895911806 & 1.01157628037317 \tabularnewline
22 & 4101.71 & 4013.50017729831 & 3984.86333333333 & 1.00718640554757 & 1.02197827801295 \tabularnewline
23 & 4162.34 & 3940.06494914807 & 3907.99291666667 & 1.00820677856007 & 1.05641405756522 \tabularnewline
24 & 4136.22 & 3806.35025320788 & 3828.74958333333 & 0.99414970093031 & 1.08666300388781 \tabularnewline
25 & 4125.88 & 3814.22568877943 & 3753.36791666667 & 1.01621417709746 & 1.08170840863911 \tabularnewline
26 & 4031.48 & 3772.50472501306 & 3687.1075 & 1.02316103477131 & 1.06864809824355 \tabularnewline
27 & 3761.36 & 3691.2795256251 & 3614.48583333333 & 1.02124609026921 & 1.01898541518961 \tabularnewline
28 & 3408.56 & 3543.84952525425 & 3534.35916666667 & 1.00268517095746 & 0.96182413381546 \tabularnewline
29 & 3228.47 & 3442.92412060973 & 3441.91666666667 & 1.00029270143372 & 0.937711633164965 \tabularnewline
30 & 3090.45 & 3289.99222682049 & 3336.22125 & 0.986143298146215 & 0.939348723928953 \tabularnewline
31 & 2741.14 & 3128.82615128724 & 3242.39791666667 & 0.96497290946443 & 0.876092140457296 \tabularnewline
32 & 2980.44 & 3087.55419856219 & 3167.78541666667 & 0.974672773704192 & 0.965307751160426 \tabularnewline
33 & 3104.33 & 3128.41599452793 & 3125.07541666667 & 1.00106895911806 & 0.992300897780198 \tabularnewline
34 & 3181.57 & 3144.64452963766 & 3122.20708333333 & 1.00718640554757 & 1.01174233526693 \tabularnewline
35 & 2863.86 & 3176.31344723772 & 3150.45833333333 & 1.00820677856007 & 0.901630159482702 \tabularnewline
36 & 2898.01 & 3181.81215575411 & 3200.53625 & 0.99414970093031 & 0.91080486783581 \tabularnewline
37 & 3112.33 & 3327.77116038663 & 3274.675 & 1.01621417709746 & 0.935259622731511 \tabularnewline
38 & 3254.33 & 3433.27355234914 & 3355.55541666667 & 1.02316103477131 & 0.947879611216327 \tabularnewline
39 & 3513.47 & 3498.85506073896 & 3426.06458333333 & 1.02124609026921 & 1.00417706335568 \tabularnewline
40 & 3587.61 & 3512.28207157409 & 3502.87625 & 1.00268517095746 & 1.02144700422428 \tabularnewline
41 & 3727.45 & 3606.39903928466 & 3605.34375 & 1.00029270143372 & 1.03356560363862 \tabularnewline
42 & 3793.34 & 3669.39565773973 & 3720.95583333333 & 0.986143298146215 & 1.03377786257496 \tabularnewline
43 & 3817.58 & 3694.41124811798 & 3828.51291666667 & 0.96497290946443 & 1.03333920985238 \tabularnewline
44 & 3845.13 & 3821.41863120384 & 3920.71958333333 & 0.974672773704192 & 1.00620486031092 \tabularnewline
45 & 3931.86 & 4000.44215947088 & 3996.17041666667 & 1.00106895911806 & 0.98285635518851 \tabularnewline
46 & 4197.52 & 4091.52816711909 & 4062.33458333333 & 1.00718640554757 & 1.02590519447787 \tabularnewline
47 & 4307.13 & 4155.75944709474 & 4121.93166666667 & 1.00820677856007 & 1.03642428173052 \tabularnewline
48 & 4229.43 & 4158.06840475480 & 4182.5375 & 0.99414970093031 & 1.01716219847745 \tabularnewline
49 & 4362.28 & 4317.97914642444 & 4249.08375 & 1.01621417709746 & 1.01025962656912 \tabularnewline
50 & 4217.34 & 4430.83424539628 & 4330.53458333333 & 1.02316103477131 & 0.95181624191469 \tabularnewline
51 & 4361.28 & 4520.99006062591 & 4426.935 & 1.02124609026921 & 0.964673653672267 \tabularnewline
52 & 4327.74 & 4534.28146563713 & 4522.13875 & 1.00268517095746 & 0.954448909446316 \tabularnewline
53 & 4417.65 & 4620.23487031854 & 4618.88291666667 & 1.00029270143372 & 0.956152690067773 \tabularnewline
54 & 4557.68 & 4658.14442865826 & 4723.59791666667 & 0.986143298146215 & 0.978432521748323 \tabularnewline
55 & 4650.35 & 4655.29387866242 & 4824.27416666667 & 0.96497290946443 & 0.998938009330607 \tabularnewline
56 & 4967.18 & 4808.04739093214 & 4932.98625 & 0.974672773704192 & 1.03309713822039 \tabularnewline
57 & 5123.42 & 5062.00071044365 & 5056.59541666667 & 1.00106895911806 & 1.01213340200242 \tabularnewline
58 & 5290.85 & 5230.50029756153 & 5193.18 & 1.00718640554757 & 1.01153803632639 \tabularnewline
59 & 5535.66 & 5384.77233196877 & 5340.94041666667 & 1.00820677856007 & 1.02802117874797 \tabularnewline
60 & 5514.06 & 5463.50791695658 & 5495.65916666667 & 0.99414970093031 & 1.00925267864745 \tabularnewline
61 & 5493.88 & 5740.98131807857 & 5649.38125 & 1.01621417709746 & 0.956958348340128 \tabularnewline
62 & 5694.83 & 5926.87601036431 & 5792.71083333333 & 1.02316103477131 & 0.960848512781686 \tabularnewline
63 & 5850.41 & 6065.55200837415 & 5939.36375 & 1.02124609026921 & 0.964530514604916 \tabularnewline
64 & 6116.64 & 6115.03218464206 & 6098.65625 & 1.00268517095746 & 1.00026292835579 \tabularnewline
65 & 6175 & 6261.61766483287 & 6259.78541666667 & 1.00029270143372 & 0.986166886982042 \tabularnewline
66 & 6513.58 & 6330.84973062076 & 6419.80708333333 & 0.986143298146215 & 1.02886346654153 \tabularnewline
67 & 6383.78 & 6358.74728736247 & 6589.56041666667 & 0.96497290946443 & 1.00393673651527 \tabularnewline
68 & 6673.66 & 6567.11122775316 & 6737.76 & 0.974672773704192 & 1.01622460295732 \tabularnewline
69 & 6936.61 & 6862.2434581169 & 6854.91583333333 & 1.00106895911806 & 1.01083705967837 \tabularnewline
70 & 7300.68 & 7008.03448437516 & 6958.03125 & 1.00718640554757 & 1.04175857243244 \tabularnewline
71 & 7392.93 & 7111.81710088513 & 7053.92708333333 & 1.00820677856007 & 1.03952757714760 \tabularnewline
72 & 7497.31 & 7099.01300021902 & 7140.78875 & 0.99414970093031 & 1.05610596850135 \tabularnewline
73 & 7584.71 & 7354.25011695581 & 7236.90958333333 & 1.01621417709746 & 1.03133696561568 \tabularnewline
74 & 7160.79 & 7512.95338848963 & 7342.88458333333 & 1.02316103477131 & 0.953125838764131 \tabularnewline
75 & 7196.19 & 7600.73083214884 & 7442.60458333333 & 1.02124609026921 & 0.946776061265352 \tabularnewline
76 & 7245.63 & 7559.32330087651 & 7539.07958333333 & 1.00268517095746 & 0.958502462668829 \tabularnewline
77 & 7347.51 & 7625.7097363714 & 7623.47833333333 & 1.00029270143372 & 0.96351818440656 \tabularnewline
78 & 7425.75 & 7605.3450271823 & 7712.21083333333 & 0.986143298146215 & 0.976385683155674 \tabularnewline
79 & 7778.51 & 7538.28554189473 & 7811.91416666667 & 0.96497290946443 & 1.03186725373697 \tabularnewline
80 & 7822.33 & 7743.84382028762 & 7945.07041666667 & 0.974672773704192 & 1.01013529992776 \tabularnewline
81 & 8181.22 & 8116.43604044449 & 8107.76916666667 & 1.00106895911806 & 1.00798182345462 \tabularnewline
82 & 8371.47 & 8321.50585618875 & 8262.13083333333 & 1.00718640554757 & 1.00600421902895 \tabularnewline
83 & 8347.71 & 8467.74473538893 & 8398.8175 & 1.00820677856007 & 0.98582447403176 \tabularnewline
84 & 8672.11 & 8471.53690578149 & 8521.38958333333 & 0.99414970093031 & 1.02367611644135 \tabularnewline
85 & 8802.79 & 8779.13397852787 & 8639.05875 & 1.01621417709746 & 1.00269457346590 \tabularnewline
86 & 9138.46 & 8927.80348849468 & 8725.70708333333 & 1.02316103477131 & 1.02359555872582 \tabularnewline
87 & 9123.29 & 8956.47799442084 & 8770.14666666667 & 1.02124609026921 & 1.01862473236501 \tabularnewline
88 & 9023.21 & 8775.14424519855 & 8751.64458333333 & 1.00268517095746 & 1.02826913699307 \tabularnewline
89 & 8850.41 & 8699.49185863632 & 8696.94625 & 1.00029270143372 & 1.01734792604166 \tabularnewline
90 & 8864.58 & 8505.49046633455 & 8625.00458333333 & 0.986143298146215 & 1.04221855695292 \tabularnewline
91 & 9163.74 & 8240.85819295304 & 8539.98916666667 & 0.96497290946443 & 1.11198855573515 \tabularnewline
92 & 8516.66 & 8255.27777312859 & 8469.79416666667 & 0.974672773704192 & 1.03166243875188 \tabularnewline
93 & 8553.44 & 8375.39089034089 & 8366.4475 & 1.00106895911806 & 1.02125860297033 \tabularnewline
94 & 7555.2 & 8282.6825972039 & 8223.58458333333 & 1.00718640554757 & 0.912168239134324 \tabularnewline
95 & 7851.22 & 8144.90348213695 & 8078.60416666667 & 1.00820677856007 & 0.96394266883812 \tabularnewline
96 & 7442 & 7852.0751852381 & 7898.2825 & 0.99414970093031 & 0.947774928848231 \tabularnewline
97 & 7992.53 & 7741.36081766328 & 7617.84375 & 1.01621417709746 & 1.03244509437716 \tabularnewline
98 & 8264.04 & 7462.7882292719 & 7293.855 & 1.02316103477131 & 1.10736627465661 \tabularnewline
99 & 7517.39 & 7116.57423048197 & 6968.52041666667 & 1.02124609026921 & 1.05632144857019 \tabularnewline
100 & 7200.4 & 6684.40278111538 & 6666.50208333333 & 1.00268517095746 & 1.07719421402050 \tabularnewline
101 & 7193.69 & 6386.52921592441 & 6384.66041666667 & 1.00029270143372 & 1.12638488869087 \tabularnewline
102 & 6193.58 & 6018.60019294703 & 6103.17 & 0.986143298146215 & 1.02907317340301 \tabularnewline
103 & 5104.21 & NA & NA & 0.96497290946443 & NA \tabularnewline
104 & 4800.46 & NA & NA & 0.974672773704192 & NA \tabularnewline
105 & 4461.61 & NA & NA & 1.00106895911806 & NA \tabularnewline
106 & 4398.59 & NA & NA & 1.00718640554757 & NA \tabularnewline
107 & 4243.63 & NA & NA & 1.00820677856007 & NA \tabularnewline
108 & 4293.82 & NA & NA & 0.99414970093031 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62987&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]4716.99[/C][C]NA[/C][C]NA[/C][C]1.01621417709746[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]4926.65[/C][C]NA[/C][C]NA[/C][C]1.02316103477131[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]4920.1[/C][C]NA[/C][C]NA[/C][C]1.02124609026921[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]5170.09[/C][C]NA[/C][C]NA[/C][C]1.00268517095746[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]5246.24[/C][C]NA[/C][C]NA[/C][C]1.00029270143372[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]5283.61[/C][C]NA[/C][C]NA[/C][C]0.986143298146215[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]4979.05[/C][C]4697.6208070479[/C][C]4868.1375[/C][C]0.96497290946443[/C][C]1.05990887824106[/C][/ROW]
[ROW][C]8[/C][C]4825.2[/C][C]4712.67850282078[/C][C]4835.13916666667[/C][C]0.974672773704192[/C][C]1.02387633637896[/C][/ROW]
[ROW][C]9[/C][C]4695.12[/C][C]4806.53208319738[/C][C]4801.39958333333[/C][C]1.00106895911806[/C][C]0.976820692909373[/C][/ROW]
[ROW][C]10[/C][C]4711.54[/C][C]4784.89123581612[/C][C]4750.75041666667[/C][C]1.00718640554757[/C][C]0.984670239677118[/C][/ROW]
[ROW][C]11[/C][C]4727.22[/C][C]4708.4768868923[/C][C]4670.15[/C][C]1.00820677856007[/C][C]1.00398071681309[/C][/ROW]
[ROW][C]12[/C][C]4384.96[/C][C]4547.17901192797[/C][C]4573.93791666667[/C][C]0.99414970093031[/C][C]0.964325351717528[/C][/ROW]
[ROW][C]13[/C][C]4378.75[/C][C]4537.08296803556[/C][C]4464.69166666667[/C][C]1.01621417709746[/C][C]0.965102474618376[/C][/ROW]
[ROW][C]14[/C][C]4472.93[/C][C]4461.84241950632[/C][C]4360.84083333333[/C][C]1.02316103477131[/C][C]1.00248497805418[/C][/ROW]
[ROW][C]15[/C][C]4564.07[/C][C]4381.46699425412[/C][C]4290.31458333333[/C][C]1.02124609026921[/C][C]1.04167622533397[/C][/ROW]
[ROW][C]16[/C][C]4310.54[/C][C]4251.79580799426[/C][C]4240.40958333333[/C][C]1.00268517095746[/C][C]1.01381632483274[/C][/ROW]
[ROW][C]17[/C][C]4171.38[/C][C]4192.69018066036[/C][C]4191.46333333333[/C][C]1.00029270143372[/C][C]0.994917301364489[/C][/ROW]
[ROW][C]18[/C][C]4049.38[/C][C]4099.95239599902[/C][C]4157.5625[/C][C]0.986143298146215[/C][C]0.987665126051616[/C][/ROW]
[ROW][C]19[/C][C]3591.37[/C][C]3991.76684602536[/C][C]4136.66208333333[/C][C]0.96497290946443[/C][C]0.899694330488256[/C][/ROW]
[ROW][C]20[/C][C]3720.46[/C][C]4003.6946232962[/C][C]4107.73208333333[/C][C]0.974672773704192[/C][C]0.929256686649339[/C][/ROW]
[ROW][C]21[/C][C]4107.23[/C][C]4060.22766615767[/C][C]4055.89208333333[/C][C]1.00106895911806[/C][C]1.01157628037317[/C][/ROW]
[ROW][C]22[/C][C]4101.71[/C][C]4013.50017729831[/C][C]3984.86333333333[/C][C]1.00718640554757[/C][C]1.02197827801295[/C][/ROW]
[ROW][C]23[/C][C]4162.34[/C][C]3940.06494914807[/C][C]3907.99291666667[/C][C]1.00820677856007[/C][C]1.05641405756522[/C][/ROW]
[ROW][C]24[/C][C]4136.22[/C][C]3806.35025320788[/C][C]3828.74958333333[/C][C]0.99414970093031[/C][C]1.08666300388781[/C][/ROW]
[ROW][C]25[/C][C]4125.88[/C][C]3814.22568877943[/C][C]3753.36791666667[/C][C]1.01621417709746[/C][C]1.08170840863911[/C][/ROW]
[ROW][C]26[/C][C]4031.48[/C][C]3772.50472501306[/C][C]3687.1075[/C][C]1.02316103477131[/C][C]1.06864809824355[/C][/ROW]
[ROW][C]27[/C][C]3761.36[/C][C]3691.2795256251[/C][C]3614.48583333333[/C][C]1.02124609026921[/C][C]1.01898541518961[/C][/ROW]
[ROW][C]28[/C][C]3408.56[/C][C]3543.84952525425[/C][C]3534.35916666667[/C][C]1.00268517095746[/C][C]0.96182413381546[/C][/ROW]
[ROW][C]29[/C][C]3228.47[/C][C]3442.92412060973[/C][C]3441.91666666667[/C][C]1.00029270143372[/C][C]0.937711633164965[/C][/ROW]
[ROW][C]30[/C][C]3090.45[/C][C]3289.99222682049[/C][C]3336.22125[/C][C]0.986143298146215[/C][C]0.939348723928953[/C][/ROW]
[ROW][C]31[/C][C]2741.14[/C][C]3128.82615128724[/C][C]3242.39791666667[/C][C]0.96497290946443[/C][C]0.876092140457296[/C][/ROW]
[ROW][C]32[/C][C]2980.44[/C][C]3087.55419856219[/C][C]3167.78541666667[/C][C]0.974672773704192[/C][C]0.965307751160426[/C][/ROW]
[ROW][C]33[/C][C]3104.33[/C][C]3128.41599452793[/C][C]3125.07541666667[/C][C]1.00106895911806[/C][C]0.992300897780198[/C][/ROW]
[ROW][C]34[/C][C]3181.57[/C][C]3144.64452963766[/C][C]3122.20708333333[/C][C]1.00718640554757[/C][C]1.01174233526693[/C][/ROW]
[ROW][C]35[/C][C]2863.86[/C][C]3176.31344723772[/C][C]3150.45833333333[/C][C]1.00820677856007[/C][C]0.901630159482702[/C][/ROW]
[ROW][C]36[/C][C]2898.01[/C][C]3181.81215575411[/C][C]3200.53625[/C][C]0.99414970093031[/C][C]0.91080486783581[/C][/ROW]
[ROW][C]37[/C][C]3112.33[/C][C]3327.77116038663[/C][C]3274.675[/C][C]1.01621417709746[/C][C]0.935259622731511[/C][/ROW]
[ROW][C]38[/C][C]3254.33[/C][C]3433.27355234914[/C][C]3355.55541666667[/C][C]1.02316103477131[/C][C]0.947879611216327[/C][/ROW]
[ROW][C]39[/C][C]3513.47[/C][C]3498.85506073896[/C][C]3426.06458333333[/C][C]1.02124609026921[/C][C]1.00417706335568[/C][/ROW]
[ROW][C]40[/C][C]3587.61[/C][C]3512.28207157409[/C][C]3502.87625[/C][C]1.00268517095746[/C][C]1.02144700422428[/C][/ROW]
[ROW][C]41[/C][C]3727.45[/C][C]3606.39903928466[/C][C]3605.34375[/C][C]1.00029270143372[/C][C]1.03356560363862[/C][/ROW]
[ROW][C]42[/C][C]3793.34[/C][C]3669.39565773973[/C][C]3720.95583333333[/C][C]0.986143298146215[/C][C]1.03377786257496[/C][/ROW]
[ROW][C]43[/C][C]3817.58[/C][C]3694.41124811798[/C][C]3828.51291666667[/C][C]0.96497290946443[/C][C]1.03333920985238[/C][/ROW]
[ROW][C]44[/C][C]3845.13[/C][C]3821.41863120384[/C][C]3920.71958333333[/C][C]0.974672773704192[/C][C]1.00620486031092[/C][/ROW]
[ROW][C]45[/C][C]3931.86[/C][C]4000.44215947088[/C][C]3996.17041666667[/C][C]1.00106895911806[/C][C]0.98285635518851[/C][/ROW]
[ROW][C]46[/C][C]4197.52[/C][C]4091.52816711909[/C][C]4062.33458333333[/C][C]1.00718640554757[/C][C]1.02590519447787[/C][/ROW]
[ROW][C]47[/C][C]4307.13[/C][C]4155.75944709474[/C][C]4121.93166666667[/C][C]1.00820677856007[/C][C]1.03642428173052[/C][/ROW]
[ROW][C]48[/C][C]4229.43[/C][C]4158.06840475480[/C][C]4182.5375[/C][C]0.99414970093031[/C][C]1.01716219847745[/C][/ROW]
[ROW][C]49[/C][C]4362.28[/C][C]4317.97914642444[/C][C]4249.08375[/C][C]1.01621417709746[/C][C]1.01025962656912[/C][/ROW]
[ROW][C]50[/C][C]4217.34[/C][C]4430.83424539628[/C][C]4330.53458333333[/C][C]1.02316103477131[/C][C]0.95181624191469[/C][/ROW]
[ROW][C]51[/C][C]4361.28[/C][C]4520.99006062591[/C][C]4426.935[/C][C]1.02124609026921[/C][C]0.964673653672267[/C][/ROW]
[ROW][C]52[/C][C]4327.74[/C][C]4534.28146563713[/C][C]4522.13875[/C][C]1.00268517095746[/C][C]0.954448909446316[/C][/ROW]
[ROW][C]53[/C][C]4417.65[/C][C]4620.23487031854[/C][C]4618.88291666667[/C][C]1.00029270143372[/C][C]0.956152690067773[/C][/ROW]
[ROW][C]54[/C][C]4557.68[/C][C]4658.14442865826[/C][C]4723.59791666667[/C][C]0.986143298146215[/C][C]0.978432521748323[/C][/ROW]
[ROW][C]55[/C][C]4650.35[/C][C]4655.29387866242[/C][C]4824.27416666667[/C][C]0.96497290946443[/C][C]0.998938009330607[/C][/ROW]
[ROW][C]56[/C][C]4967.18[/C][C]4808.04739093214[/C][C]4932.98625[/C][C]0.974672773704192[/C][C]1.03309713822039[/C][/ROW]
[ROW][C]57[/C][C]5123.42[/C][C]5062.00071044365[/C][C]5056.59541666667[/C][C]1.00106895911806[/C][C]1.01213340200242[/C][/ROW]
[ROW][C]58[/C][C]5290.85[/C][C]5230.50029756153[/C][C]5193.18[/C][C]1.00718640554757[/C][C]1.01153803632639[/C][/ROW]
[ROW][C]59[/C][C]5535.66[/C][C]5384.77233196877[/C][C]5340.94041666667[/C][C]1.00820677856007[/C][C]1.02802117874797[/C][/ROW]
[ROW][C]60[/C][C]5514.06[/C][C]5463.50791695658[/C][C]5495.65916666667[/C][C]0.99414970093031[/C][C]1.00925267864745[/C][/ROW]
[ROW][C]61[/C][C]5493.88[/C][C]5740.98131807857[/C][C]5649.38125[/C][C]1.01621417709746[/C][C]0.956958348340128[/C][/ROW]
[ROW][C]62[/C][C]5694.83[/C][C]5926.87601036431[/C][C]5792.71083333333[/C][C]1.02316103477131[/C][C]0.960848512781686[/C][/ROW]
[ROW][C]63[/C][C]5850.41[/C][C]6065.55200837415[/C][C]5939.36375[/C][C]1.02124609026921[/C][C]0.964530514604916[/C][/ROW]
[ROW][C]64[/C][C]6116.64[/C][C]6115.03218464206[/C][C]6098.65625[/C][C]1.00268517095746[/C][C]1.00026292835579[/C][/ROW]
[ROW][C]65[/C][C]6175[/C][C]6261.61766483287[/C][C]6259.78541666667[/C][C]1.00029270143372[/C][C]0.986166886982042[/C][/ROW]
[ROW][C]66[/C][C]6513.58[/C][C]6330.84973062076[/C][C]6419.80708333333[/C][C]0.986143298146215[/C][C]1.02886346654153[/C][/ROW]
[ROW][C]67[/C][C]6383.78[/C][C]6358.74728736247[/C][C]6589.56041666667[/C][C]0.96497290946443[/C][C]1.00393673651527[/C][/ROW]
[ROW][C]68[/C][C]6673.66[/C][C]6567.11122775316[/C][C]6737.76[/C][C]0.974672773704192[/C][C]1.01622460295732[/C][/ROW]
[ROW][C]69[/C][C]6936.61[/C][C]6862.2434581169[/C][C]6854.91583333333[/C][C]1.00106895911806[/C][C]1.01083705967837[/C][/ROW]
[ROW][C]70[/C][C]7300.68[/C][C]7008.03448437516[/C][C]6958.03125[/C][C]1.00718640554757[/C][C]1.04175857243244[/C][/ROW]
[ROW][C]71[/C][C]7392.93[/C][C]7111.81710088513[/C][C]7053.92708333333[/C][C]1.00820677856007[/C][C]1.03952757714760[/C][/ROW]
[ROW][C]72[/C][C]7497.31[/C][C]7099.01300021902[/C][C]7140.78875[/C][C]0.99414970093031[/C][C]1.05610596850135[/C][/ROW]
[ROW][C]73[/C][C]7584.71[/C][C]7354.25011695581[/C][C]7236.90958333333[/C][C]1.01621417709746[/C][C]1.03133696561568[/C][/ROW]
[ROW][C]74[/C][C]7160.79[/C][C]7512.95338848963[/C][C]7342.88458333333[/C][C]1.02316103477131[/C][C]0.953125838764131[/C][/ROW]
[ROW][C]75[/C][C]7196.19[/C][C]7600.73083214884[/C][C]7442.60458333333[/C][C]1.02124609026921[/C][C]0.946776061265352[/C][/ROW]
[ROW][C]76[/C][C]7245.63[/C][C]7559.32330087651[/C][C]7539.07958333333[/C][C]1.00268517095746[/C][C]0.958502462668829[/C][/ROW]
[ROW][C]77[/C][C]7347.51[/C][C]7625.7097363714[/C][C]7623.47833333333[/C][C]1.00029270143372[/C][C]0.96351818440656[/C][/ROW]
[ROW][C]78[/C][C]7425.75[/C][C]7605.3450271823[/C][C]7712.21083333333[/C][C]0.986143298146215[/C][C]0.976385683155674[/C][/ROW]
[ROW][C]79[/C][C]7778.51[/C][C]7538.28554189473[/C][C]7811.91416666667[/C][C]0.96497290946443[/C][C]1.03186725373697[/C][/ROW]
[ROW][C]80[/C][C]7822.33[/C][C]7743.84382028762[/C][C]7945.07041666667[/C][C]0.974672773704192[/C][C]1.01013529992776[/C][/ROW]
[ROW][C]81[/C][C]8181.22[/C][C]8116.43604044449[/C][C]8107.76916666667[/C][C]1.00106895911806[/C][C]1.00798182345462[/C][/ROW]
[ROW][C]82[/C][C]8371.47[/C][C]8321.50585618875[/C][C]8262.13083333333[/C][C]1.00718640554757[/C][C]1.00600421902895[/C][/ROW]
[ROW][C]83[/C][C]8347.71[/C][C]8467.74473538893[/C][C]8398.8175[/C][C]1.00820677856007[/C][C]0.98582447403176[/C][/ROW]
[ROW][C]84[/C][C]8672.11[/C][C]8471.53690578149[/C][C]8521.38958333333[/C][C]0.99414970093031[/C][C]1.02367611644135[/C][/ROW]
[ROW][C]85[/C][C]8802.79[/C][C]8779.13397852787[/C][C]8639.05875[/C][C]1.01621417709746[/C][C]1.00269457346590[/C][/ROW]
[ROW][C]86[/C][C]9138.46[/C][C]8927.80348849468[/C][C]8725.70708333333[/C][C]1.02316103477131[/C][C]1.02359555872582[/C][/ROW]
[ROW][C]87[/C][C]9123.29[/C][C]8956.47799442084[/C][C]8770.14666666667[/C][C]1.02124609026921[/C][C]1.01862473236501[/C][/ROW]
[ROW][C]88[/C][C]9023.21[/C][C]8775.14424519855[/C][C]8751.64458333333[/C][C]1.00268517095746[/C][C]1.02826913699307[/C][/ROW]
[ROW][C]89[/C][C]8850.41[/C][C]8699.49185863632[/C][C]8696.94625[/C][C]1.00029270143372[/C][C]1.01734792604166[/C][/ROW]
[ROW][C]90[/C][C]8864.58[/C][C]8505.49046633455[/C][C]8625.00458333333[/C][C]0.986143298146215[/C][C]1.04221855695292[/C][/ROW]
[ROW][C]91[/C][C]9163.74[/C][C]8240.85819295304[/C][C]8539.98916666667[/C][C]0.96497290946443[/C][C]1.11198855573515[/C][/ROW]
[ROW][C]92[/C][C]8516.66[/C][C]8255.27777312859[/C][C]8469.79416666667[/C][C]0.974672773704192[/C][C]1.03166243875188[/C][/ROW]
[ROW][C]93[/C][C]8553.44[/C][C]8375.39089034089[/C][C]8366.4475[/C][C]1.00106895911806[/C][C]1.02125860297033[/C][/ROW]
[ROW][C]94[/C][C]7555.2[/C][C]8282.6825972039[/C][C]8223.58458333333[/C][C]1.00718640554757[/C][C]0.912168239134324[/C][/ROW]
[ROW][C]95[/C][C]7851.22[/C][C]8144.90348213695[/C][C]8078.60416666667[/C][C]1.00820677856007[/C][C]0.96394266883812[/C][/ROW]
[ROW][C]96[/C][C]7442[/C][C]7852.0751852381[/C][C]7898.2825[/C][C]0.99414970093031[/C][C]0.947774928848231[/C][/ROW]
[ROW][C]97[/C][C]7992.53[/C][C]7741.36081766328[/C][C]7617.84375[/C][C]1.01621417709746[/C][C]1.03244509437716[/C][/ROW]
[ROW][C]98[/C][C]8264.04[/C][C]7462.7882292719[/C][C]7293.855[/C][C]1.02316103477131[/C][C]1.10736627465661[/C][/ROW]
[ROW][C]99[/C][C]7517.39[/C][C]7116.57423048197[/C][C]6968.52041666667[/C][C]1.02124609026921[/C][C]1.05632144857019[/C][/ROW]
[ROW][C]100[/C][C]7200.4[/C][C]6684.40278111538[/C][C]6666.50208333333[/C][C]1.00268517095746[/C][C]1.07719421402050[/C][/ROW]
[ROW][C]101[/C][C]7193.69[/C][C]6386.52921592441[/C][C]6384.66041666667[/C][C]1.00029270143372[/C][C]1.12638488869087[/C][/ROW]
[ROW][C]102[/C][C]6193.58[/C][C]6018.60019294703[/C][C]6103.17[/C][C]0.986143298146215[/C][C]1.02907317340301[/C][/ROW]
[ROW][C]103[/C][C]5104.21[/C][C]NA[/C][C]NA[/C][C]0.96497290946443[/C][C]NA[/C][/ROW]
[ROW][C]104[/C][C]4800.46[/C][C]NA[/C][C]NA[/C][C]0.974672773704192[/C][C]NA[/C][/ROW]
[ROW][C]105[/C][C]4461.61[/C][C]NA[/C][C]NA[/C][C]1.00106895911806[/C][C]NA[/C][/ROW]
[ROW][C]106[/C][C]4398.59[/C][C]NA[/C][C]NA[/C][C]1.00718640554757[/C][C]NA[/C][/ROW]
[ROW][C]107[/C][C]4243.63[/C][C]NA[/C][C]NA[/C][C]1.00820677856007[/C][C]NA[/C][/ROW]
[ROW][C]108[/C][C]4293.82[/C][C]NA[/C][C]NA[/C][C]0.99414970093031[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62987&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62987&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
14716.99NANA1.01621417709746NA
24926.65NANA1.02316103477131NA
34920.1NANA1.02124609026921NA
45170.09NANA1.00268517095746NA
55246.24NANA1.00029270143372NA
65283.61NANA0.986143298146215NA
74979.054697.62080704794868.13750.964972909464431.05990887824106
84825.24712.678502820784835.139166666670.9746727737041921.02387633637896
94695.124806.532083197384801.399583333331.001068959118060.976820692909373
104711.544784.891235816124750.750416666671.007186405547570.984670239677118
114727.224708.47688689234670.151.008206778560071.00398071681309
124384.964547.179011927974573.937916666670.994149700930310.964325351717528
134378.754537.082968035564464.691666666671.016214177097460.965102474618376
144472.934461.842419506324360.840833333331.023161034771311.00248497805418
154564.074381.466994254124290.314583333331.021246090269211.04167622533397
164310.544251.795807994264240.409583333331.002685170957461.01381632483274
174171.384192.690180660364191.463333333331.000292701433720.994917301364489
184049.384099.952395999024157.56250.9861432981462150.987665126051616
193591.373991.766846025364136.662083333330.964972909464430.899694330488256
203720.464003.69462329624107.732083333330.9746727737041920.929256686649339
214107.234060.227666157674055.892083333331.001068959118061.01157628037317
224101.714013.500177298313984.863333333331.007186405547571.02197827801295
234162.343940.064949148073907.992916666671.008206778560071.05641405756522
244136.223806.350253207883828.749583333330.994149700930311.08666300388781
254125.883814.225688779433753.367916666671.016214177097461.08170840863911
264031.483772.504725013063687.10751.023161034771311.06864809824355
273761.363691.27952562513614.485833333331.021246090269211.01898541518961
283408.563543.849525254253534.359166666671.002685170957460.96182413381546
293228.473442.924120609733441.916666666671.000292701433720.937711633164965
303090.453289.992226820493336.221250.9861432981462150.939348723928953
312741.143128.826151287243242.397916666670.964972909464430.876092140457296
322980.443087.554198562193167.785416666670.9746727737041920.965307751160426
333104.333128.415994527933125.075416666671.001068959118060.992300897780198
343181.573144.644529637663122.207083333331.007186405547571.01174233526693
352863.863176.313447237723150.458333333331.008206778560070.901630159482702
362898.013181.812155754113200.536250.994149700930310.91080486783581
373112.333327.771160386633274.6751.016214177097460.935259622731511
383254.333433.273552349143355.555416666671.023161034771310.947879611216327
393513.473498.855060738963426.064583333331.021246090269211.00417706335568
403587.613512.282071574093502.876251.002685170957461.02144700422428
413727.453606.399039284663605.343751.000292701433721.03356560363862
423793.343669.395657739733720.955833333330.9861432981462151.03377786257496
433817.583694.411248117983828.512916666670.964972909464431.03333920985238
443845.133821.418631203843920.719583333330.9746727737041921.00620486031092
453931.864000.442159470883996.170416666671.001068959118060.98285635518851
464197.524091.528167119094062.334583333331.007186405547571.02590519447787
474307.134155.759447094744121.931666666671.008206778560071.03642428173052
484229.434158.068404754804182.53750.994149700930311.01716219847745
494362.284317.979146424444249.083751.016214177097461.01025962656912
504217.344430.834245396284330.534583333331.023161034771310.95181624191469
514361.284520.990060625914426.9351.021246090269210.964673653672267
524327.744534.281465637134522.138751.002685170957460.954448909446316
534417.654620.234870318544618.882916666671.000292701433720.956152690067773
544557.684658.144428658264723.597916666670.9861432981462150.978432521748323
554650.354655.293878662424824.274166666670.964972909464430.998938009330607
564967.184808.047390932144932.986250.9746727737041921.03309713822039
575123.425062.000710443655056.595416666671.001068959118061.01213340200242
585290.855230.500297561535193.181.007186405547571.01153803632639
595535.665384.772331968775340.940416666671.008206778560071.02802117874797
605514.065463.507916956585495.659166666670.994149700930311.00925267864745
615493.885740.981318078575649.381251.016214177097460.956958348340128
625694.835926.876010364315792.710833333331.023161034771310.960848512781686
635850.416065.552008374155939.363751.021246090269210.964530514604916
646116.646115.032184642066098.656251.002685170957461.00026292835579
6561756261.617664832876259.785416666671.000292701433720.986166886982042
666513.586330.849730620766419.807083333330.9861432981462151.02886346654153
676383.786358.747287362476589.560416666670.964972909464431.00393673651527
686673.666567.111227753166737.760.9746727737041921.01622460295732
696936.616862.24345811696854.915833333331.001068959118061.01083705967837
707300.687008.034484375166958.031251.007186405547571.04175857243244
717392.937111.817100885137053.927083333331.008206778560071.03952757714760
727497.317099.013000219027140.788750.994149700930311.05610596850135
737584.717354.250116955817236.909583333331.016214177097461.03133696561568
747160.797512.953388489637342.884583333331.023161034771310.953125838764131
757196.197600.730832148847442.604583333331.021246090269210.946776061265352
767245.637559.323300876517539.079583333331.002685170957460.958502462668829
777347.517625.70973637147623.478333333331.000292701433720.96351818440656
787425.757605.34502718237712.210833333330.9861432981462150.976385683155674
797778.517538.285541894737811.914166666670.964972909464431.03186725373697
807822.337743.843820287627945.070416666670.9746727737041921.01013529992776
818181.228116.436040444498107.769166666671.001068959118061.00798182345462
828371.478321.505856188758262.130833333331.007186405547571.00600421902895
838347.718467.744735388938398.81751.008206778560070.98582447403176
848672.118471.536905781498521.389583333330.994149700930311.02367611644135
858802.798779.133978527878639.058751.016214177097461.00269457346590
869138.468927.803488494688725.707083333331.023161034771311.02359555872582
879123.298956.477994420848770.146666666671.021246090269211.01862473236501
889023.218775.144245198558751.644583333331.002685170957461.02826913699307
898850.418699.491858636328696.946251.000292701433721.01734792604166
908864.588505.490466334558625.004583333330.9861432981462151.04221855695292
919163.748240.858192953048539.989166666670.964972909464431.11198855573515
928516.668255.277773128598469.794166666670.9746727737041921.03166243875188
938553.448375.390890340898366.44751.001068959118061.02125860297033
947555.28282.68259720398223.584583333331.007186405547570.912168239134324
957851.228144.903482136958078.604166666671.008206778560070.96394266883812
9674427852.07518523817898.28250.994149700930310.947774928848231
977992.537741.360817663287617.843751.016214177097461.03244509437716
988264.047462.78822927197293.8551.023161034771311.10736627465661
997517.397116.574230481976968.520416666671.021246090269211.05632144857019
1007200.46684.402781115386666.502083333331.002685170957461.07719421402050
1017193.696386.529215924416384.660416666671.000292701433721.12638488869087
1026193.586018.600192947036103.170.9861432981462151.02907317340301
1035104.21NANA0.96497290946443NA
1044800.46NANA0.974672773704192NA
1054461.61NANA1.00106895911806NA
1064398.59NANA1.00718640554757NA
1074243.63NANA1.00820677856007NA
1084293.82NANA0.99414970093031NA



Parameters (Session):
par1 = FALSE ; par2 = 0.2 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = 2 ; par7 = 0 ; par8 = 0 ; par9 = 0 ;
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')