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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 computationFri, 04 Dec 2009 12:29:39 -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/04/t1259955053xbdu7475jskltyp.htm/, Retrieved Sun, 28 Apr 2024 10:53:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64071, Retrieved Sun, 28 Apr 2024 10:53:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
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] [BBWS9-populartheory1] [2009-12-01 20:46:35] [408e92805dcb18620260f240a7fb9d53]
-   PD      [Classical Decomposition] [shw-ws9] [2009-12-04 13:37:30] [2663058f2a5dda519058ac6b2228468f]
-   PD          [Classical Decomposition] [ws 9 theorie 1] [2009-12-04 19:29:39] [4f297b039e1043ebee7ff7a83b1eaaaa] [Current]
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Dataseries X:
100.01
103.84
104.48
95.43
104.80
108.64
105.65
108.42
115.35
113.64
115.24
100.33
101.29
104.48
99.26
100.11
103.52
101.18
96.39
97.56
96.39
85.10
79.77
79.13
80.84
82.75
92.55
96.60
96.92
95.32
98.52
100.22
104.91
103.10
97.13
103.42
111.72
118.11
111.62
100.22
102.03
105.76
107.68
110.77
105.44
112.26
114.07
117.90
124.72
126.42
134.73
135.79
143.36
140.37
144.74
151.98
150.92
163.38
154.43
146.66
157.95
162.10
180.42
179.57
171.58
185.43
190.64
203.00
202.36
193.41
186.17
192.24
209.60
206.41
209.82
230.37
235.80
232.07
244.64
242.19
217.48
209.39
211.73
221.00
203.11
214.71
224.19
238.04
238.36
246.24
259.87
249.97
266.48
282.98
306.31
301.73
314.62
332.62
355.51
370.32
408.13
433.58
440.51
386.29
342.84
254.97
203.42
170.09
174.03
167.85
177.01
188.19
211.20
240.91
230.26
251.25
241.66




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64071&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]4 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=64071&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64071&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1100.01NANA0.968135585721935NA
2103.84NANA0.984258820657727NA
3104.48NANA1.00868890710222NA
495.43NANA1.01658961190774NA
5104.8NANA1.03358629223341NA
6108.64NANA1.04472135573966NA
7105.65113.034908955795106.37251.06263281351660.934667006644092
8108.42111.944093194936106.45251.051587263755530.968519167967183
9115.35108.258636648268106.2616666666671.018792948052151.06550390408824
10113.64103.181426965820106.2391666666670.9712183388030431.10136100402687
11115.2498.5703076835196106.3808333333330.926579578246581.16911474366096
12100.3396.8153194733246106.0166666666670.9132084842633991.03630293785937
13101.29101.964039888234105.320.9681355857219350.99338943524626
14104.48102.837002013687104.4816666666670.9842588206577271.01597671999515
1599.26104.136202195144103.2391666666671.008688907102220.953174764468494
16100.11102.939864101778101.261.016589611907740.972509541114413
17103.52101.90428717797798.59291666666671.033586292233411.01585519968557
18101.18100.53527726508796.23166666666671.044721355739661.00641290055045
1996.39100.41481600426894.496251.06263281351660.959918106068163
2097.5697.522888356608392.738751.051587263755531.00038054290656
2196.3993.274314867729591.553751.018792948052151.03340346307222
2285.188.505103843582291.12791666666670.9712183388030430.961526469144648
2379.7784.04694494415390.70666666666670.926579578246580.94911242821503
2479.1382.359990174505390.18750.9132084842633990.96078204759785
2580.8487.163263731682790.03208333333330.9681355857219350.927454945340874
2682.7588.811313819314590.23166666666670.9842588206577270.93175065699798
2792.5591.485562151903890.69751.008688907102221.01163503642606
2896.693.325467847160491.80251.016589611907741.03508722997459
2996.9296.408622729981293.27583333333331.033586292233411.00530426901182
3095.3299.260281910520195.011251.044721355739660.960303538991838
3198.52103.40479908330097.311.06263281351660.952760421889459
32100.22105.232337484016100.071.051587263755530.952368847790943
33104.91104.261147818349102.3379166666671.018792948052151.00622333625927
34103.1100.310667426041103.2833333333330.9712183388030431.02780693863906
3597.1396.037270761488103.6470833333330.926579578246581.01137817880337
36103.4295.2430788662512104.2950.9132084842633991.08585317937098
37111.72101.762344974542105.1116666666670.9681355857219351.0978520594032
38118.11104.265407627167105.9329166666670.9842588206577271.13278222075666
39111.62107.319035984096106.3945833333331.008688907102221.04007643170165
40100.22108.570076235727106.7983333333331.016589611907740.923090445127834
41102.03111.509318459511107.8858333333331.033586292233410.914990795473715
42105.76114.078348439993109.1951.044721355739660.92708214526468
43107.68117.250904643422110.341.06263281351660.918372445206045
44110.77116.965860540728111.2279166666671.051587263755530.947028470426455
45105.44114.651986894357112.5370833333331.018792948052150.91965261881728
46112.26111.672707967113114.9820833333330.9712183388030431.00525904711704
47114.07109.508965679545118.186250.926579578246581.04164987124253
48117.9110.818230068899121.3504166666670.9132084842633991.06390437680424
49124.72120.374751610046124.3366666666670.9681355857219351.03609767274146
50126.42125.589374976716127.5979166666670.9842588206577271.00661381604485
51134.73132.350071500883131.211.008688907102221.01798207188049
52135.79137.478496166343135.2351.016589611907740.98771810709727
53143.36143.716728647414139.0466666666671.033586292233410.997517834905012
54140.37148.273819615611141.9266666666671.044721355739660.946694435766871
55144.74153.560625117612144.5095833333331.06263281351660.942559330486862
56151.98154.98380725501147.3808333333331.051587263755530.980618573590287
57150.92153.604686269008150.771251.018792948052150.982522107012373
58163.38150.052423996455154.4991666666670.9712183388030431.08881946488156
59154.43145.935511424188157.4991666666670.926579578246581.05820713884451
60146.66146.617905169699160.55250.9132084842633991.00028710565911
61157.95159.105822496507164.34250.9681355857219350.992735511005372
62162.1165.730320438032168.3808333333330.9842588206577270.978095013462613
63180.42174.150139811199172.651.008688907102221.03600261358158
64179.57178.965094649293176.0445833333331.016589611907741.00338001861141
65171.58184.617460874911178.6183333333331.033586292233410.929381214468417
66185.43189.972131327700181.841.044721355739660.9760905386703
67190.64197.534141995618185.891251.06263281351660.965098985289486
68203199.685467353178189.8895833333331.051587263755531.01659876750550
69202.36196.587136250266192.9608333333331.018792948052151.02936541962941
70193.41190.652587952884196.30250.9712183388030431.01446301923684
71186.17186.330520287496201.0950.926579578246580.999138518546246
72192.24187.859922333175205.7141666666670.9132084842633991.02331565781794
73209.6203.218920459927209.90750.9681355857219351.03140002675750
74206.41210.425103376257213.7904166666670.9842588206577270.980919085642182
75209.82217.930600675792216.0533333333331.008688907102220.962783562057639
76230.37220.954904990138217.3491666666671.016589611907741.0426109346171
77235.8226.438084902495219.081.033586292233411.04134426018281
78232.07231.242107283936221.3433333333331.044721355739661.00358019880457
79244.64236.192723751352222.271251.06263281351661.03576433733641
80242.19233.816922805163222.3466666666671.051587263755531.03581039855620
81217.48227.487550861750223.291251.018792948052150.95600835815481
82209.39217.756459068723224.2095833333330.9712183388030430.961578824782037
83211.73208.142975709069224.6358333333330.926579578246581.01723346309772
84221205.775931283817225.3329166666670.9132084842633991.07398371919010
85203.11219.338781352025226.5579166666670.9681355857219350.926010433485638
86214.71223.935286013311227.5166666666670.9842588206577270.958803785783174
87224.19231.879927686927229.88251.008688907102220.96683659614855
88238.04238.888816481205234.9904166666671.016589611907740.996446813652862
89238.36250.125298754754241.99751.033586292233410.952962380001834
90246.24260.451210488723249.3020833333331.044721355739660.945436189518736
91259.87273.428263064318257.3120833333331.06263281351660.950413820018567
92249.97280.638407562518266.871251.051587263755530.890719136311781
93266.48282.466287806322277.2558333333331.018792948052150.943404616775778
94282.98279.943164627974288.2391666666670.9712183388030431.01084804258772
95306.31278.737915551203300.8245833333330.926579578246581.09891759574320
96301.73288.303723517306315.7041666666670.9132084842633991.04656990315246
97314.62320.48837717877331.0366666666670.9681355857219350.981689266767085
98332.62338.824537285951344.2433333333330.9842588206577270.981688052064792
99355.51356.17309654233353.1051.008688907102220.99813827448292
100370.32361.010879401672355.1195833333331.016589611907741.02578626055192
101408.13361.409381534749349.6654166666671.033586292233411.12927339701822
102433.58355.093824006873339.8933333333331.044721355739661.22102940317995
103440.51349.128453644551328.5504166666671.06263281351661.26174190445241
104386.29332.11973838239315.8270833333331.051587263755531.16310461365967
105342.84307.190694667301301.5241666666671.018792948052151.11604943102625
106254.97278.252030695533286.4979166666670.9712183388030430.916327544358488
107203.42250.828566504768270.703750.926579578246580.810992156254792
108170.09232.384543494042254.4704166666670.9132084842633990.731933361154722
109174.03NA237.682083333333NANA
110167.85NA223.295NANA
111177.01NA213.4525NANA
112188.19NANANANA
113211.2NANANANA
114240.91NANANANA
115230.26NANANANA
116251.25NANANANA
117241.66NANANANA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 100.01 & NA & NA & 0.968135585721935 & NA \tabularnewline
2 & 103.84 & NA & NA & 0.984258820657727 & NA \tabularnewline
3 & 104.48 & NA & NA & 1.00868890710222 & NA \tabularnewline
4 & 95.43 & NA & NA & 1.01658961190774 & NA \tabularnewline
5 & 104.8 & NA & NA & 1.03358629223341 & NA \tabularnewline
6 & 108.64 & NA & NA & 1.04472135573966 & NA \tabularnewline
7 & 105.65 & 113.034908955795 & 106.3725 & 1.0626328135166 & 0.934667006644092 \tabularnewline
8 & 108.42 & 111.944093194936 & 106.4525 & 1.05158726375553 & 0.968519167967183 \tabularnewline
9 & 115.35 & 108.258636648268 & 106.261666666667 & 1.01879294805215 & 1.06550390408824 \tabularnewline
10 & 113.64 & 103.181426965820 & 106.239166666667 & 0.971218338803043 & 1.10136100402687 \tabularnewline
11 & 115.24 & 98.5703076835196 & 106.380833333333 & 0.92657957824658 & 1.16911474366096 \tabularnewline
12 & 100.33 & 96.8153194733246 & 106.016666666667 & 0.913208484263399 & 1.03630293785937 \tabularnewline
13 & 101.29 & 101.964039888234 & 105.32 & 0.968135585721935 & 0.99338943524626 \tabularnewline
14 & 104.48 & 102.837002013687 & 104.481666666667 & 0.984258820657727 & 1.01597671999515 \tabularnewline
15 & 99.26 & 104.136202195144 & 103.239166666667 & 1.00868890710222 & 0.953174764468494 \tabularnewline
16 & 100.11 & 102.939864101778 & 101.26 & 1.01658961190774 & 0.972509541114413 \tabularnewline
17 & 103.52 & 101.904287177977 & 98.5929166666667 & 1.03358629223341 & 1.01585519968557 \tabularnewline
18 & 101.18 & 100.535277265087 & 96.2316666666667 & 1.04472135573966 & 1.00641290055045 \tabularnewline
19 & 96.39 & 100.414816004268 & 94.49625 & 1.0626328135166 & 0.959918106068163 \tabularnewline
20 & 97.56 & 97.5228883566083 & 92.73875 & 1.05158726375553 & 1.00038054290656 \tabularnewline
21 & 96.39 & 93.2743148677295 & 91.55375 & 1.01879294805215 & 1.03340346307222 \tabularnewline
22 & 85.1 & 88.5051038435822 & 91.1279166666667 & 0.971218338803043 & 0.961526469144648 \tabularnewline
23 & 79.77 & 84.046944944153 & 90.7066666666667 & 0.92657957824658 & 0.94911242821503 \tabularnewline
24 & 79.13 & 82.3599901745053 & 90.1875 & 0.913208484263399 & 0.96078204759785 \tabularnewline
25 & 80.84 & 87.1632637316827 & 90.0320833333333 & 0.968135585721935 & 0.927454945340874 \tabularnewline
26 & 82.75 & 88.8113138193145 & 90.2316666666667 & 0.984258820657727 & 0.93175065699798 \tabularnewline
27 & 92.55 & 91.4855621519038 & 90.6975 & 1.00868890710222 & 1.01163503642606 \tabularnewline
28 & 96.6 & 93.3254678471604 & 91.8025 & 1.01658961190774 & 1.03508722997459 \tabularnewline
29 & 96.92 & 96.4086227299812 & 93.2758333333333 & 1.03358629223341 & 1.00530426901182 \tabularnewline
30 & 95.32 & 99.2602819105201 & 95.01125 & 1.04472135573966 & 0.960303538991838 \tabularnewline
31 & 98.52 & 103.404799083300 & 97.31 & 1.0626328135166 & 0.952760421889459 \tabularnewline
32 & 100.22 & 105.232337484016 & 100.07 & 1.05158726375553 & 0.952368847790943 \tabularnewline
33 & 104.91 & 104.261147818349 & 102.337916666667 & 1.01879294805215 & 1.00622333625927 \tabularnewline
34 & 103.1 & 100.310667426041 & 103.283333333333 & 0.971218338803043 & 1.02780693863906 \tabularnewline
35 & 97.13 & 96.037270761488 & 103.647083333333 & 0.92657957824658 & 1.01137817880337 \tabularnewline
36 & 103.42 & 95.2430788662512 & 104.295 & 0.913208484263399 & 1.08585317937098 \tabularnewline
37 & 111.72 & 101.762344974542 & 105.111666666667 & 0.968135585721935 & 1.0978520594032 \tabularnewline
38 & 118.11 & 104.265407627167 & 105.932916666667 & 0.984258820657727 & 1.13278222075666 \tabularnewline
39 & 111.62 & 107.319035984096 & 106.394583333333 & 1.00868890710222 & 1.04007643170165 \tabularnewline
40 & 100.22 & 108.570076235727 & 106.798333333333 & 1.01658961190774 & 0.923090445127834 \tabularnewline
41 & 102.03 & 111.509318459511 & 107.885833333333 & 1.03358629223341 & 0.914990795473715 \tabularnewline
42 & 105.76 & 114.078348439993 & 109.195 & 1.04472135573966 & 0.92708214526468 \tabularnewline
43 & 107.68 & 117.250904643422 & 110.34 & 1.0626328135166 & 0.918372445206045 \tabularnewline
44 & 110.77 & 116.965860540728 & 111.227916666667 & 1.05158726375553 & 0.947028470426455 \tabularnewline
45 & 105.44 & 114.651986894357 & 112.537083333333 & 1.01879294805215 & 0.91965261881728 \tabularnewline
46 & 112.26 & 111.672707967113 & 114.982083333333 & 0.971218338803043 & 1.00525904711704 \tabularnewline
47 & 114.07 & 109.508965679545 & 118.18625 & 0.92657957824658 & 1.04164987124253 \tabularnewline
48 & 117.9 & 110.818230068899 & 121.350416666667 & 0.913208484263399 & 1.06390437680424 \tabularnewline
49 & 124.72 & 120.374751610046 & 124.336666666667 & 0.968135585721935 & 1.03609767274146 \tabularnewline
50 & 126.42 & 125.589374976716 & 127.597916666667 & 0.984258820657727 & 1.00661381604485 \tabularnewline
51 & 134.73 & 132.350071500883 & 131.21 & 1.00868890710222 & 1.01798207188049 \tabularnewline
52 & 135.79 & 137.478496166343 & 135.235 & 1.01658961190774 & 0.98771810709727 \tabularnewline
53 & 143.36 & 143.716728647414 & 139.046666666667 & 1.03358629223341 & 0.997517834905012 \tabularnewline
54 & 140.37 & 148.273819615611 & 141.926666666667 & 1.04472135573966 & 0.946694435766871 \tabularnewline
55 & 144.74 & 153.560625117612 & 144.509583333333 & 1.0626328135166 & 0.942559330486862 \tabularnewline
56 & 151.98 & 154.98380725501 & 147.380833333333 & 1.05158726375553 & 0.980618573590287 \tabularnewline
57 & 150.92 & 153.604686269008 & 150.77125 & 1.01879294805215 & 0.982522107012373 \tabularnewline
58 & 163.38 & 150.052423996455 & 154.499166666667 & 0.971218338803043 & 1.08881946488156 \tabularnewline
59 & 154.43 & 145.935511424188 & 157.499166666667 & 0.92657957824658 & 1.05820713884451 \tabularnewline
60 & 146.66 & 146.617905169699 & 160.5525 & 0.913208484263399 & 1.00028710565911 \tabularnewline
61 & 157.95 & 159.105822496507 & 164.3425 & 0.968135585721935 & 0.992735511005372 \tabularnewline
62 & 162.1 & 165.730320438032 & 168.380833333333 & 0.984258820657727 & 0.978095013462613 \tabularnewline
63 & 180.42 & 174.150139811199 & 172.65 & 1.00868890710222 & 1.03600261358158 \tabularnewline
64 & 179.57 & 178.965094649293 & 176.044583333333 & 1.01658961190774 & 1.00338001861141 \tabularnewline
65 & 171.58 & 184.617460874911 & 178.618333333333 & 1.03358629223341 & 0.929381214468417 \tabularnewline
66 & 185.43 & 189.972131327700 & 181.84 & 1.04472135573966 & 0.9760905386703 \tabularnewline
67 & 190.64 & 197.534141995618 & 185.89125 & 1.0626328135166 & 0.965098985289486 \tabularnewline
68 & 203 & 199.685467353178 & 189.889583333333 & 1.05158726375553 & 1.01659876750550 \tabularnewline
69 & 202.36 & 196.587136250266 & 192.960833333333 & 1.01879294805215 & 1.02936541962941 \tabularnewline
70 & 193.41 & 190.652587952884 & 196.3025 & 0.971218338803043 & 1.01446301923684 \tabularnewline
71 & 186.17 & 186.330520287496 & 201.095 & 0.92657957824658 & 0.999138518546246 \tabularnewline
72 & 192.24 & 187.859922333175 & 205.714166666667 & 0.913208484263399 & 1.02331565781794 \tabularnewline
73 & 209.6 & 203.218920459927 & 209.9075 & 0.968135585721935 & 1.03140002675750 \tabularnewline
74 & 206.41 & 210.425103376257 & 213.790416666667 & 0.984258820657727 & 0.980919085642182 \tabularnewline
75 & 209.82 & 217.930600675792 & 216.053333333333 & 1.00868890710222 & 0.962783562057639 \tabularnewline
76 & 230.37 & 220.954904990138 & 217.349166666667 & 1.01658961190774 & 1.0426109346171 \tabularnewline
77 & 235.8 & 226.438084902495 & 219.08 & 1.03358629223341 & 1.04134426018281 \tabularnewline
78 & 232.07 & 231.242107283936 & 221.343333333333 & 1.04472135573966 & 1.00358019880457 \tabularnewline
79 & 244.64 & 236.192723751352 & 222.27125 & 1.0626328135166 & 1.03576433733641 \tabularnewline
80 & 242.19 & 233.816922805163 & 222.346666666667 & 1.05158726375553 & 1.03581039855620 \tabularnewline
81 & 217.48 & 227.487550861750 & 223.29125 & 1.01879294805215 & 0.95600835815481 \tabularnewline
82 & 209.39 & 217.756459068723 & 224.209583333333 & 0.971218338803043 & 0.961578824782037 \tabularnewline
83 & 211.73 & 208.142975709069 & 224.635833333333 & 0.92657957824658 & 1.01723346309772 \tabularnewline
84 & 221 & 205.775931283817 & 225.332916666667 & 0.913208484263399 & 1.07398371919010 \tabularnewline
85 & 203.11 & 219.338781352025 & 226.557916666667 & 0.968135585721935 & 0.926010433485638 \tabularnewline
86 & 214.71 & 223.935286013311 & 227.516666666667 & 0.984258820657727 & 0.958803785783174 \tabularnewline
87 & 224.19 & 231.879927686927 & 229.8825 & 1.00868890710222 & 0.96683659614855 \tabularnewline
88 & 238.04 & 238.888816481205 & 234.990416666667 & 1.01658961190774 & 0.996446813652862 \tabularnewline
89 & 238.36 & 250.125298754754 & 241.9975 & 1.03358629223341 & 0.952962380001834 \tabularnewline
90 & 246.24 & 260.451210488723 & 249.302083333333 & 1.04472135573966 & 0.945436189518736 \tabularnewline
91 & 259.87 & 273.428263064318 & 257.312083333333 & 1.0626328135166 & 0.950413820018567 \tabularnewline
92 & 249.97 & 280.638407562518 & 266.87125 & 1.05158726375553 & 0.890719136311781 \tabularnewline
93 & 266.48 & 282.466287806322 & 277.255833333333 & 1.01879294805215 & 0.943404616775778 \tabularnewline
94 & 282.98 & 279.943164627974 & 288.239166666667 & 0.971218338803043 & 1.01084804258772 \tabularnewline
95 & 306.31 & 278.737915551203 & 300.824583333333 & 0.92657957824658 & 1.09891759574320 \tabularnewline
96 & 301.73 & 288.303723517306 & 315.704166666667 & 0.913208484263399 & 1.04656990315246 \tabularnewline
97 & 314.62 & 320.48837717877 & 331.036666666667 & 0.968135585721935 & 0.981689266767085 \tabularnewline
98 & 332.62 & 338.824537285951 & 344.243333333333 & 0.984258820657727 & 0.981688052064792 \tabularnewline
99 & 355.51 & 356.17309654233 & 353.105 & 1.00868890710222 & 0.99813827448292 \tabularnewline
100 & 370.32 & 361.010879401672 & 355.119583333333 & 1.01658961190774 & 1.02578626055192 \tabularnewline
101 & 408.13 & 361.409381534749 & 349.665416666667 & 1.03358629223341 & 1.12927339701822 \tabularnewline
102 & 433.58 & 355.093824006873 & 339.893333333333 & 1.04472135573966 & 1.22102940317995 \tabularnewline
103 & 440.51 & 349.128453644551 & 328.550416666667 & 1.0626328135166 & 1.26174190445241 \tabularnewline
104 & 386.29 & 332.11973838239 & 315.827083333333 & 1.05158726375553 & 1.16310461365967 \tabularnewline
105 & 342.84 & 307.190694667301 & 301.524166666667 & 1.01879294805215 & 1.11604943102625 \tabularnewline
106 & 254.97 & 278.252030695533 & 286.497916666667 & 0.971218338803043 & 0.916327544358488 \tabularnewline
107 & 203.42 & 250.828566504768 & 270.70375 & 0.92657957824658 & 0.810992156254792 \tabularnewline
108 & 170.09 & 232.384543494042 & 254.470416666667 & 0.913208484263399 & 0.731933361154722 \tabularnewline
109 & 174.03 & NA & 237.682083333333 & NA & NA \tabularnewline
110 & 167.85 & NA & 223.295 & NA & NA \tabularnewline
111 & 177.01 & NA & 213.4525 & NA & NA \tabularnewline
112 & 188.19 & NA & NA & NA & NA \tabularnewline
113 & 211.2 & NA & NA & NA & NA \tabularnewline
114 & 240.91 & NA & NA & NA & NA \tabularnewline
115 & 230.26 & NA & NA & NA & NA \tabularnewline
116 & 251.25 & NA & NA & NA & NA \tabularnewline
117 & 241.66 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64071&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]100.01[/C][C]NA[/C][C]NA[/C][C]0.968135585721935[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]103.84[/C][C]NA[/C][C]NA[/C][C]0.984258820657727[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]104.48[/C][C]NA[/C][C]NA[/C][C]1.00868890710222[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]95.43[/C][C]NA[/C][C]NA[/C][C]1.01658961190774[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]104.8[/C][C]NA[/C][C]NA[/C][C]1.03358629223341[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]108.64[/C][C]NA[/C][C]NA[/C][C]1.04472135573966[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]105.65[/C][C]113.034908955795[/C][C]106.3725[/C][C]1.0626328135166[/C][C]0.934667006644092[/C][/ROW]
[ROW][C]8[/C][C]108.42[/C][C]111.944093194936[/C][C]106.4525[/C][C]1.05158726375553[/C][C]0.968519167967183[/C][/ROW]
[ROW][C]9[/C][C]115.35[/C][C]108.258636648268[/C][C]106.261666666667[/C][C]1.01879294805215[/C][C]1.06550390408824[/C][/ROW]
[ROW][C]10[/C][C]113.64[/C][C]103.181426965820[/C][C]106.239166666667[/C][C]0.971218338803043[/C][C]1.10136100402687[/C][/ROW]
[ROW][C]11[/C][C]115.24[/C][C]98.5703076835196[/C][C]106.380833333333[/C][C]0.92657957824658[/C][C]1.16911474366096[/C][/ROW]
[ROW][C]12[/C][C]100.33[/C][C]96.8153194733246[/C][C]106.016666666667[/C][C]0.913208484263399[/C][C]1.03630293785937[/C][/ROW]
[ROW][C]13[/C][C]101.29[/C][C]101.964039888234[/C][C]105.32[/C][C]0.968135585721935[/C][C]0.99338943524626[/C][/ROW]
[ROW][C]14[/C][C]104.48[/C][C]102.837002013687[/C][C]104.481666666667[/C][C]0.984258820657727[/C][C]1.01597671999515[/C][/ROW]
[ROW][C]15[/C][C]99.26[/C][C]104.136202195144[/C][C]103.239166666667[/C][C]1.00868890710222[/C][C]0.953174764468494[/C][/ROW]
[ROW][C]16[/C][C]100.11[/C][C]102.939864101778[/C][C]101.26[/C][C]1.01658961190774[/C][C]0.972509541114413[/C][/ROW]
[ROW][C]17[/C][C]103.52[/C][C]101.904287177977[/C][C]98.5929166666667[/C][C]1.03358629223341[/C][C]1.01585519968557[/C][/ROW]
[ROW][C]18[/C][C]101.18[/C][C]100.535277265087[/C][C]96.2316666666667[/C][C]1.04472135573966[/C][C]1.00641290055045[/C][/ROW]
[ROW][C]19[/C][C]96.39[/C][C]100.414816004268[/C][C]94.49625[/C][C]1.0626328135166[/C][C]0.959918106068163[/C][/ROW]
[ROW][C]20[/C][C]97.56[/C][C]97.5228883566083[/C][C]92.73875[/C][C]1.05158726375553[/C][C]1.00038054290656[/C][/ROW]
[ROW][C]21[/C][C]96.39[/C][C]93.2743148677295[/C][C]91.55375[/C][C]1.01879294805215[/C][C]1.03340346307222[/C][/ROW]
[ROW][C]22[/C][C]85.1[/C][C]88.5051038435822[/C][C]91.1279166666667[/C][C]0.971218338803043[/C][C]0.961526469144648[/C][/ROW]
[ROW][C]23[/C][C]79.77[/C][C]84.046944944153[/C][C]90.7066666666667[/C][C]0.92657957824658[/C][C]0.94911242821503[/C][/ROW]
[ROW][C]24[/C][C]79.13[/C][C]82.3599901745053[/C][C]90.1875[/C][C]0.913208484263399[/C][C]0.96078204759785[/C][/ROW]
[ROW][C]25[/C][C]80.84[/C][C]87.1632637316827[/C][C]90.0320833333333[/C][C]0.968135585721935[/C][C]0.927454945340874[/C][/ROW]
[ROW][C]26[/C][C]82.75[/C][C]88.8113138193145[/C][C]90.2316666666667[/C][C]0.984258820657727[/C][C]0.93175065699798[/C][/ROW]
[ROW][C]27[/C][C]92.55[/C][C]91.4855621519038[/C][C]90.6975[/C][C]1.00868890710222[/C][C]1.01163503642606[/C][/ROW]
[ROW][C]28[/C][C]96.6[/C][C]93.3254678471604[/C][C]91.8025[/C][C]1.01658961190774[/C][C]1.03508722997459[/C][/ROW]
[ROW][C]29[/C][C]96.92[/C][C]96.4086227299812[/C][C]93.2758333333333[/C][C]1.03358629223341[/C][C]1.00530426901182[/C][/ROW]
[ROW][C]30[/C][C]95.32[/C][C]99.2602819105201[/C][C]95.01125[/C][C]1.04472135573966[/C][C]0.960303538991838[/C][/ROW]
[ROW][C]31[/C][C]98.52[/C][C]103.404799083300[/C][C]97.31[/C][C]1.0626328135166[/C][C]0.952760421889459[/C][/ROW]
[ROW][C]32[/C][C]100.22[/C][C]105.232337484016[/C][C]100.07[/C][C]1.05158726375553[/C][C]0.952368847790943[/C][/ROW]
[ROW][C]33[/C][C]104.91[/C][C]104.261147818349[/C][C]102.337916666667[/C][C]1.01879294805215[/C][C]1.00622333625927[/C][/ROW]
[ROW][C]34[/C][C]103.1[/C][C]100.310667426041[/C][C]103.283333333333[/C][C]0.971218338803043[/C][C]1.02780693863906[/C][/ROW]
[ROW][C]35[/C][C]97.13[/C][C]96.037270761488[/C][C]103.647083333333[/C][C]0.92657957824658[/C][C]1.01137817880337[/C][/ROW]
[ROW][C]36[/C][C]103.42[/C][C]95.2430788662512[/C][C]104.295[/C][C]0.913208484263399[/C][C]1.08585317937098[/C][/ROW]
[ROW][C]37[/C][C]111.72[/C][C]101.762344974542[/C][C]105.111666666667[/C][C]0.968135585721935[/C][C]1.0978520594032[/C][/ROW]
[ROW][C]38[/C][C]118.11[/C][C]104.265407627167[/C][C]105.932916666667[/C][C]0.984258820657727[/C][C]1.13278222075666[/C][/ROW]
[ROW][C]39[/C][C]111.62[/C][C]107.319035984096[/C][C]106.394583333333[/C][C]1.00868890710222[/C][C]1.04007643170165[/C][/ROW]
[ROW][C]40[/C][C]100.22[/C][C]108.570076235727[/C][C]106.798333333333[/C][C]1.01658961190774[/C][C]0.923090445127834[/C][/ROW]
[ROW][C]41[/C][C]102.03[/C][C]111.509318459511[/C][C]107.885833333333[/C][C]1.03358629223341[/C][C]0.914990795473715[/C][/ROW]
[ROW][C]42[/C][C]105.76[/C][C]114.078348439993[/C][C]109.195[/C][C]1.04472135573966[/C][C]0.92708214526468[/C][/ROW]
[ROW][C]43[/C][C]107.68[/C][C]117.250904643422[/C][C]110.34[/C][C]1.0626328135166[/C][C]0.918372445206045[/C][/ROW]
[ROW][C]44[/C][C]110.77[/C][C]116.965860540728[/C][C]111.227916666667[/C][C]1.05158726375553[/C][C]0.947028470426455[/C][/ROW]
[ROW][C]45[/C][C]105.44[/C][C]114.651986894357[/C][C]112.537083333333[/C][C]1.01879294805215[/C][C]0.91965261881728[/C][/ROW]
[ROW][C]46[/C][C]112.26[/C][C]111.672707967113[/C][C]114.982083333333[/C][C]0.971218338803043[/C][C]1.00525904711704[/C][/ROW]
[ROW][C]47[/C][C]114.07[/C][C]109.508965679545[/C][C]118.18625[/C][C]0.92657957824658[/C][C]1.04164987124253[/C][/ROW]
[ROW][C]48[/C][C]117.9[/C][C]110.818230068899[/C][C]121.350416666667[/C][C]0.913208484263399[/C][C]1.06390437680424[/C][/ROW]
[ROW][C]49[/C][C]124.72[/C][C]120.374751610046[/C][C]124.336666666667[/C][C]0.968135585721935[/C][C]1.03609767274146[/C][/ROW]
[ROW][C]50[/C][C]126.42[/C][C]125.589374976716[/C][C]127.597916666667[/C][C]0.984258820657727[/C][C]1.00661381604485[/C][/ROW]
[ROW][C]51[/C][C]134.73[/C][C]132.350071500883[/C][C]131.21[/C][C]1.00868890710222[/C][C]1.01798207188049[/C][/ROW]
[ROW][C]52[/C][C]135.79[/C][C]137.478496166343[/C][C]135.235[/C][C]1.01658961190774[/C][C]0.98771810709727[/C][/ROW]
[ROW][C]53[/C][C]143.36[/C][C]143.716728647414[/C][C]139.046666666667[/C][C]1.03358629223341[/C][C]0.997517834905012[/C][/ROW]
[ROW][C]54[/C][C]140.37[/C][C]148.273819615611[/C][C]141.926666666667[/C][C]1.04472135573966[/C][C]0.946694435766871[/C][/ROW]
[ROW][C]55[/C][C]144.74[/C][C]153.560625117612[/C][C]144.509583333333[/C][C]1.0626328135166[/C][C]0.942559330486862[/C][/ROW]
[ROW][C]56[/C][C]151.98[/C][C]154.98380725501[/C][C]147.380833333333[/C][C]1.05158726375553[/C][C]0.980618573590287[/C][/ROW]
[ROW][C]57[/C][C]150.92[/C][C]153.604686269008[/C][C]150.77125[/C][C]1.01879294805215[/C][C]0.982522107012373[/C][/ROW]
[ROW][C]58[/C][C]163.38[/C][C]150.052423996455[/C][C]154.499166666667[/C][C]0.971218338803043[/C][C]1.08881946488156[/C][/ROW]
[ROW][C]59[/C][C]154.43[/C][C]145.935511424188[/C][C]157.499166666667[/C][C]0.92657957824658[/C][C]1.05820713884451[/C][/ROW]
[ROW][C]60[/C][C]146.66[/C][C]146.617905169699[/C][C]160.5525[/C][C]0.913208484263399[/C][C]1.00028710565911[/C][/ROW]
[ROW][C]61[/C][C]157.95[/C][C]159.105822496507[/C][C]164.3425[/C][C]0.968135585721935[/C][C]0.992735511005372[/C][/ROW]
[ROW][C]62[/C][C]162.1[/C][C]165.730320438032[/C][C]168.380833333333[/C][C]0.984258820657727[/C][C]0.978095013462613[/C][/ROW]
[ROW][C]63[/C][C]180.42[/C][C]174.150139811199[/C][C]172.65[/C][C]1.00868890710222[/C][C]1.03600261358158[/C][/ROW]
[ROW][C]64[/C][C]179.57[/C][C]178.965094649293[/C][C]176.044583333333[/C][C]1.01658961190774[/C][C]1.00338001861141[/C][/ROW]
[ROW][C]65[/C][C]171.58[/C][C]184.617460874911[/C][C]178.618333333333[/C][C]1.03358629223341[/C][C]0.929381214468417[/C][/ROW]
[ROW][C]66[/C][C]185.43[/C][C]189.972131327700[/C][C]181.84[/C][C]1.04472135573966[/C][C]0.9760905386703[/C][/ROW]
[ROW][C]67[/C][C]190.64[/C][C]197.534141995618[/C][C]185.89125[/C][C]1.0626328135166[/C][C]0.965098985289486[/C][/ROW]
[ROW][C]68[/C][C]203[/C][C]199.685467353178[/C][C]189.889583333333[/C][C]1.05158726375553[/C][C]1.01659876750550[/C][/ROW]
[ROW][C]69[/C][C]202.36[/C][C]196.587136250266[/C][C]192.960833333333[/C][C]1.01879294805215[/C][C]1.02936541962941[/C][/ROW]
[ROW][C]70[/C][C]193.41[/C][C]190.652587952884[/C][C]196.3025[/C][C]0.971218338803043[/C][C]1.01446301923684[/C][/ROW]
[ROW][C]71[/C][C]186.17[/C][C]186.330520287496[/C][C]201.095[/C][C]0.92657957824658[/C][C]0.999138518546246[/C][/ROW]
[ROW][C]72[/C][C]192.24[/C][C]187.859922333175[/C][C]205.714166666667[/C][C]0.913208484263399[/C][C]1.02331565781794[/C][/ROW]
[ROW][C]73[/C][C]209.6[/C][C]203.218920459927[/C][C]209.9075[/C][C]0.968135585721935[/C][C]1.03140002675750[/C][/ROW]
[ROW][C]74[/C][C]206.41[/C][C]210.425103376257[/C][C]213.790416666667[/C][C]0.984258820657727[/C][C]0.980919085642182[/C][/ROW]
[ROW][C]75[/C][C]209.82[/C][C]217.930600675792[/C][C]216.053333333333[/C][C]1.00868890710222[/C][C]0.962783562057639[/C][/ROW]
[ROW][C]76[/C][C]230.37[/C][C]220.954904990138[/C][C]217.349166666667[/C][C]1.01658961190774[/C][C]1.0426109346171[/C][/ROW]
[ROW][C]77[/C][C]235.8[/C][C]226.438084902495[/C][C]219.08[/C][C]1.03358629223341[/C][C]1.04134426018281[/C][/ROW]
[ROW][C]78[/C][C]232.07[/C][C]231.242107283936[/C][C]221.343333333333[/C][C]1.04472135573966[/C][C]1.00358019880457[/C][/ROW]
[ROW][C]79[/C][C]244.64[/C][C]236.192723751352[/C][C]222.27125[/C][C]1.0626328135166[/C][C]1.03576433733641[/C][/ROW]
[ROW][C]80[/C][C]242.19[/C][C]233.816922805163[/C][C]222.346666666667[/C][C]1.05158726375553[/C][C]1.03581039855620[/C][/ROW]
[ROW][C]81[/C][C]217.48[/C][C]227.487550861750[/C][C]223.29125[/C][C]1.01879294805215[/C][C]0.95600835815481[/C][/ROW]
[ROW][C]82[/C][C]209.39[/C][C]217.756459068723[/C][C]224.209583333333[/C][C]0.971218338803043[/C][C]0.961578824782037[/C][/ROW]
[ROW][C]83[/C][C]211.73[/C][C]208.142975709069[/C][C]224.635833333333[/C][C]0.92657957824658[/C][C]1.01723346309772[/C][/ROW]
[ROW][C]84[/C][C]221[/C][C]205.775931283817[/C][C]225.332916666667[/C][C]0.913208484263399[/C][C]1.07398371919010[/C][/ROW]
[ROW][C]85[/C][C]203.11[/C][C]219.338781352025[/C][C]226.557916666667[/C][C]0.968135585721935[/C][C]0.926010433485638[/C][/ROW]
[ROW][C]86[/C][C]214.71[/C][C]223.935286013311[/C][C]227.516666666667[/C][C]0.984258820657727[/C][C]0.958803785783174[/C][/ROW]
[ROW][C]87[/C][C]224.19[/C][C]231.879927686927[/C][C]229.8825[/C][C]1.00868890710222[/C][C]0.96683659614855[/C][/ROW]
[ROW][C]88[/C][C]238.04[/C][C]238.888816481205[/C][C]234.990416666667[/C][C]1.01658961190774[/C][C]0.996446813652862[/C][/ROW]
[ROW][C]89[/C][C]238.36[/C][C]250.125298754754[/C][C]241.9975[/C][C]1.03358629223341[/C][C]0.952962380001834[/C][/ROW]
[ROW][C]90[/C][C]246.24[/C][C]260.451210488723[/C][C]249.302083333333[/C][C]1.04472135573966[/C][C]0.945436189518736[/C][/ROW]
[ROW][C]91[/C][C]259.87[/C][C]273.428263064318[/C][C]257.312083333333[/C][C]1.0626328135166[/C][C]0.950413820018567[/C][/ROW]
[ROW][C]92[/C][C]249.97[/C][C]280.638407562518[/C][C]266.87125[/C][C]1.05158726375553[/C][C]0.890719136311781[/C][/ROW]
[ROW][C]93[/C][C]266.48[/C][C]282.466287806322[/C][C]277.255833333333[/C][C]1.01879294805215[/C][C]0.943404616775778[/C][/ROW]
[ROW][C]94[/C][C]282.98[/C][C]279.943164627974[/C][C]288.239166666667[/C][C]0.971218338803043[/C][C]1.01084804258772[/C][/ROW]
[ROW][C]95[/C][C]306.31[/C][C]278.737915551203[/C][C]300.824583333333[/C][C]0.92657957824658[/C][C]1.09891759574320[/C][/ROW]
[ROW][C]96[/C][C]301.73[/C][C]288.303723517306[/C][C]315.704166666667[/C][C]0.913208484263399[/C][C]1.04656990315246[/C][/ROW]
[ROW][C]97[/C][C]314.62[/C][C]320.48837717877[/C][C]331.036666666667[/C][C]0.968135585721935[/C][C]0.981689266767085[/C][/ROW]
[ROW][C]98[/C][C]332.62[/C][C]338.824537285951[/C][C]344.243333333333[/C][C]0.984258820657727[/C][C]0.981688052064792[/C][/ROW]
[ROW][C]99[/C][C]355.51[/C][C]356.17309654233[/C][C]353.105[/C][C]1.00868890710222[/C][C]0.99813827448292[/C][/ROW]
[ROW][C]100[/C][C]370.32[/C][C]361.010879401672[/C][C]355.119583333333[/C][C]1.01658961190774[/C][C]1.02578626055192[/C][/ROW]
[ROW][C]101[/C][C]408.13[/C][C]361.409381534749[/C][C]349.665416666667[/C][C]1.03358629223341[/C][C]1.12927339701822[/C][/ROW]
[ROW][C]102[/C][C]433.58[/C][C]355.093824006873[/C][C]339.893333333333[/C][C]1.04472135573966[/C][C]1.22102940317995[/C][/ROW]
[ROW][C]103[/C][C]440.51[/C][C]349.128453644551[/C][C]328.550416666667[/C][C]1.0626328135166[/C][C]1.26174190445241[/C][/ROW]
[ROW][C]104[/C][C]386.29[/C][C]332.11973838239[/C][C]315.827083333333[/C][C]1.05158726375553[/C][C]1.16310461365967[/C][/ROW]
[ROW][C]105[/C][C]342.84[/C][C]307.190694667301[/C][C]301.524166666667[/C][C]1.01879294805215[/C][C]1.11604943102625[/C][/ROW]
[ROW][C]106[/C][C]254.97[/C][C]278.252030695533[/C][C]286.497916666667[/C][C]0.971218338803043[/C][C]0.916327544358488[/C][/ROW]
[ROW][C]107[/C][C]203.42[/C][C]250.828566504768[/C][C]270.70375[/C][C]0.92657957824658[/C][C]0.810992156254792[/C][/ROW]
[ROW][C]108[/C][C]170.09[/C][C]232.384543494042[/C][C]254.470416666667[/C][C]0.913208484263399[/C][C]0.731933361154722[/C][/ROW]
[ROW][C]109[/C][C]174.03[/C][C]NA[/C][C]237.682083333333[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]110[/C][C]167.85[/C][C]NA[/C][C]223.295[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]111[/C][C]177.01[/C][C]NA[/C][C]213.4525[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]112[/C][C]188.19[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]113[/C][C]211.2[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]114[/C][C]240.91[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]115[/C][C]230.26[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]251.25[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]241.66[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64071&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64071&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
1100.01NANA0.968135585721935NA
2103.84NANA0.984258820657727NA
3104.48NANA1.00868890710222NA
495.43NANA1.01658961190774NA
5104.8NANA1.03358629223341NA
6108.64NANA1.04472135573966NA
7105.65113.034908955795106.37251.06263281351660.934667006644092
8108.42111.944093194936106.45251.051587263755530.968519167967183
9115.35108.258636648268106.2616666666671.018792948052151.06550390408824
10113.64103.181426965820106.2391666666670.9712183388030431.10136100402687
11115.2498.5703076835196106.3808333333330.926579578246581.16911474366096
12100.3396.8153194733246106.0166666666670.9132084842633991.03630293785937
13101.29101.964039888234105.320.9681355857219350.99338943524626
14104.48102.837002013687104.4816666666670.9842588206577271.01597671999515
1599.26104.136202195144103.2391666666671.008688907102220.953174764468494
16100.11102.939864101778101.261.016589611907740.972509541114413
17103.52101.90428717797798.59291666666671.033586292233411.01585519968557
18101.18100.53527726508796.23166666666671.044721355739661.00641290055045
1996.39100.41481600426894.496251.06263281351660.959918106068163
2097.5697.522888356608392.738751.051587263755531.00038054290656
2196.3993.274314867729591.553751.018792948052151.03340346307222
2285.188.505103843582291.12791666666670.9712183388030430.961526469144648
2379.7784.04694494415390.70666666666670.926579578246580.94911242821503
2479.1382.359990174505390.18750.9132084842633990.96078204759785
2580.8487.163263731682790.03208333333330.9681355857219350.927454945340874
2682.7588.811313819314590.23166666666670.9842588206577270.93175065699798
2792.5591.485562151903890.69751.008688907102221.01163503642606
2896.693.325467847160491.80251.016589611907741.03508722997459
2996.9296.408622729981293.27583333333331.033586292233411.00530426901182
3095.3299.260281910520195.011251.044721355739660.960303538991838
3198.52103.40479908330097.311.06263281351660.952760421889459
32100.22105.232337484016100.071.051587263755530.952368847790943
33104.91104.261147818349102.3379166666671.018792948052151.00622333625927
34103.1100.310667426041103.2833333333330.9712183388030431.02780693863906
3597.1396.037270761488103.6470833333330.926579578246581.01137817880337
36103.4295.2430788662512104.2950.9132084842633991.08585317937098
37111.72101.762344974542105.1116666666670.9681355857219351.0978520594032
38118.11104.265407627167105.9329166666670.9842588206577271.13278222075666
39111.62107.319035984096106.3945833333331.008688907102221.04007643170165
40100.22108.570076235727106.7983333333331.016589611907740.923090445127834
41102.03111.509318459511107.8858333333331.033586292233410.914990795473715
42105.76114.078348439993109.1951.044721355739660.92708214526468
43107.68117.250904643422110.341.06263281351660.918372445206045
44110.77116.965860540728111.2279166666671.051587263755530.947028470426455
45105.44114.651986894357112.5370833333331.018792948052150.91965261881728
46112.26111.672707967113114.9820833333330.9712183388030431.00525904711704
47114.07109.508965679545118.186250.926579578246581.04164987124253
48117.9110.818230068899121.3504166666670.9132084842633991.06390437680424
49124.72120.374751610046124.3366666666670.9681355857219351.03609767274146
50126.42125.589374976716127.5979166666670.9842588206577271.00661381604485
51134.73132.350071500883131.211.008688907102221.01798207188049
52135.79137.478496166343135.2351.016589611907740.98771810709727
53143.36143.716728647414139.0466666666671.033586292233410.997517834905012
54140.37148.273819615611141.9266666666671.044721355739660.946694435766871
55144.74153.560625117612144.5095833333331.06263281351660.942559330486862
56151.98154.98380725501147.3808333333331.051587263755530.980618573590287
57150.92153.604686269008150.771251.018792948052150.982522107012373
58163.38150.052423996455154.4991666666670.9712183388030431.08881946488156
59154.43145.935511424188157.4991666666670.926579578246581.05820713884451
60146.66146.617905169699160.55250.9132084842633991.00028710565911
61157.95159.105822496507164.34250.9681355857219350.992735511005372
62162.1165.730320438032168.3808333333330.9842588206577270.978095013462613
63180.42174.150139811199172.651.008688907102221.03600261358158
64179.57178.965094649293176.0445833333331.016589611907741.00338001861141
65171.58184.617460874911178.6183333333331.033586292233410.929381214468417
66185.43189.972131327700181.841.044721355739660.9760905386703
67190.64197.534141995618185.891251.06263281351660.965098985289486
68203199.685467353178189.8895833333331.051587263755531.01659876750550
69202.36196.587136250266192.9608333333331.018792948052151.02936541962941
70193.41190.652587952884196.30250.9712183388030431.01446301923684
71186.17186.330520287496201.0950.926579578246580.999138518546246
72192.24187.859922333175205.7141666666670.9132084842633991.02331565781794
73209.6203.218920459927209.90750.9681355857219351.03140002675750
74206.41210.425103376257213.7904166666670.9842588206577270.980919085642182
75209.82217.930600675792216.0533333333331.008688907102220.962783562057639
76230.37220.954904990138217.3491666666671.016589611907741.0426109346171
77235.8226.438084902495219.081.033586292233411.04134426018281
78232.07231.242107283936221.3433333333331.044721355739661.00358019880457
79244.64236.192723751352222.271251.06263281351661.03576433733641
80242.19233.816922805163222.3466666666671.051587263755531.03581039855620
81217.48227.487550861750223.291251.018792948052150.95600835815481
82209.39217.756459068723224.2095833333330.9712183388030430.961578824782037
83211.73208.142975709069224.6358333333330.926579578246581.01723346309772
84221205.775931283817225.3329166666670.9132084842633991.07398371919010
85203.11219.338781352025226.5579166666670.9681355857219350.926010433485638
86214.71223.935286013311227.5166666666670.9842588206577270.958803785783174
87224.19231.879927686927229.88251.008688907102220.96683659614855
88238.04238.888816481205234.9904166666671.016589611907740.996446813652862
89238.36250.125298754754241.99751.033586292233410.952962380001834
90246.24260.451210488723249.3020833333331.044721355739660.945436189518736
91259.87273.428263064318257.3120833333331.06263281351660.950413820018567
92249.97280.638407562518266.871251.051587263755530.890719136311781
93266.48282.466287806322277.2558333333331.018792948052150.943404616775778
94282.98279.943164627974288.2391666666670.9712183388030431.01084804258772
95306.31278.737915551203300.8245833333330.926579578246581.09891759574320
96301.73288.303723517306315.7041666666670.9132084842633991.04656990315246
97314.62320.48837717877331.0366666666670.9681355857219350.981689266767085
98332.62338.824537285951344.2433333333330.9842588206577270.981688052064792
99355.51356.17309654233353.1051.008688907102220.99813827448292
100370.32361.010879401672355.1195833333331.016589611907741.02578626055192
101408.13361.409381534749349.6654166666671.033586292233411.12927339701822
102433.58355.093824006873339.8933333333331.044721355739661.22102940317995
103440.51349.128453644551328.5504166666671.06263281351661.26174190445241
104386.29332.11973838239315.8270833333331.051587263755531.16310461365967
105342.84307.190694667301301.5241666666671.018792948052151.11604943102625
106254.97278.252030695533286.4979166666670.9712183388030430.916327544358488
107203.42250.828566504768270.703750.926579578246580.810992156254792
108170.09232.384543494042254.4704166666670.9132084842633990.731933361154722
109174.03NA237.682083333333NANA
110167.85NA223.295NANA
111177.01NA213.4525NANA
112188.19NANANANA
113211.2NANANANA
114240.91NANANANA
115230.26NANANANA
116251.25NANANANA
117241.66NANANANA



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')