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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationMon, 10 Aug 2015 07:43:53 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/10/t143918904152al3c6nkw3jhxv.htm/, Retrieved Sun, 19 May 2024 12:39:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279961, Retrieved Sun, 19 May 2024 12:39:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2014-10-04 09:51:16] [3d50c3f1d1505d45371c80c331b9aa00]
-    D  [Notched Boxplots] [] [2015-08-03 11:42:45] [74be16979710d4c4e7c6647856088456]
- RMP     [Harrell-Davis Quantiles] [] [2015-08-07 13:17:48] [74be16979710d4c4e7c6647856088456]
- R         [Harrell-Davis Quantiles] [] [2015-08-07 13:20:06] [74be16979710d4c4e7c6647856088456]
- RMP         [Mean Plot] [] [2015-08-07 14:32:20] [74be16979710d4c4e7c6647856088456]
- RM            [Standard Deviation-Mean Plot] [] [2015-08-07 16:54:54] [74be16979710d4c4e7c6647856088456]
- RMP               [Classical Decomposition] [] [2015-08-10 06:43:53] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3469648.00
3456726.00
3443622.00
3416504.00
3684772.00
3670576.00
3469648.00
3336060.00
3348982.00
3348982.00
3363360.00
3389204.00
3429426.00
3429426.00
3403582.00
3336060.00
3684772.00
3737916.00
3657654.00
3469648.00
3550092.00
3429426.00
3483844.00
3509870.00
3536988.00
3469648.00
3483844.00
3389204.00
3684772.00
3778138.00
3697876.00
3550092.00
3710798.00
3536988.00
3697876.00
3684772.00
3724994.00
3577210.00
3737916.00
3724994.00
3966144.00
3911726.00
3697876.00
3590132.00
3737916.00
3536988.00
3684772.00
3710798.00
3765216.00
3644732.00
3710798.00
3751020.00
3898804.00
3778138.00
3617432.00
3443622.00
3604510.00
3162250.00
3376282.00
3496766.00
3617432.00
3443622.00
3443622.00
3443622.00
3536988.00
3403582.00
3228498.00
3081988.00
3188276.00
2773316.00
3027570.00
3175354.00
3202472.00
3054688.00
3067610.00
3027570.00
3162250.00
3067610.00
2881060.00
2746198.00
2974244.00
2479022.00
2800616.00
2947126.00
2947126.00
2773316.00
2612610.00
2599688.00
2746198.00
2612610.00
2358538.00
2183454.00
2371460.00
1929382.00
2331238.00
2545088.00
2612610.00
2464826.00
2278094.00
2411682.00
2464826.00
2424604.00
2022566.00
1836016.00
1969422.00
1567566.00
1982526.00
2130310.00
2250794.00
2049866.00
1861860.00
1969422.00
2022566.00
1916278.00
1514422.00
1339338.00
1500044.00
1057966.00
1540266.00
1836016.00

Tables (Output of Computation)





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

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279961&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279961&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279961&T=0

As an alternative you can also use a QR Code:  
QR Code


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

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






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
13469648NANA120398NA
23456726NANA7613.6NA
33443622NANA-8737.76NA
43416504NANA16353.8NA
53684772NANA203629NA
63670576NANA159625NA
7346964834305103448160-17659.139142.7
8333606032849703445350-16038551094
9334898234313803442550-11161.1-82402.1
10334898231413003437530-296225207682
11336336033728103434170-61367.8-9445.39
1233892043484900343698047916.5-95691.5
13342942635680203447620120398-138590
143429426346863034610207613.6-39205.8
15340358234662303474960-8737.76-62644.2
1633360603503050348670016353.8-166989
17368477236987003495070203629-13924.6
1837379163664740350512015962573175.9
19365765434969703514620-17659.1160688
20346964833604003520780-160385109251
21355009235146403525800-11161.135450.5
22342942632351403531360-296225194290
23348384434722103533580-61367.811636.3
2435098703583170353525047916.5-73297.9
25353698836590003538600120398-122013
263469648355124035436307613.6-81596.6
27348384435449403553680-8737.76-61097.2
2833892043581210356486016353.8-192007
29368477237818903578260203629-97113.8
3037781383754090359446015962524051
31369787635919203609580-17659.1105952
32355009234615103621900-16038588578.5
33371079836258103636970-11161.184992.4
34353698833653203661540-296225171669
35369787636258903687260-61367.871984.4
3636847723752470370455047916.5-67693.8
37372499438305103710120120398-105519
383577210371940037117807613.6-142187
39373791637058403714580-8737.7632071.7
4037249943732070371571016353.8-7071.81
4139661443918800371517020362947348.7
4239117263875330371570015962536396.7
43369787637008103718460-17659.1-2929.62
44359013235625703722950-16038527563
45373791637134803724640-11161.124439.5
46353698834283703724590-296225108621
47368477236615003722870-61367.823269.1
4837107983762420371450047916.5-51617.2
49376521638259803705580120398-60762.7
503644732370374036961207613.6-59005.8
51371079836757203684460-8737.7635074.7
5237510203679640366329016353.871377.8
5338988043838450363482020362960354.1
543778138377267036130501596255464.28
55361743235803103597970-17659.137118
56344362234230503583440-16038520571.1
57360451035527603563920-11161.151747.1
58316225032437603539980-296225-81508.1
59337628234507303512100-61367.8-74449.7
6034967663529330348142047916.5-32567.8
6136174323570000344961012039847428.8
623443622342595034183307613.617676.8
63344362233771803385920-8737.7666439.3
6434436223368730335237016353.874896.4
6535369883525270332164020362911722.2
66340358234533403293710159625-49757.6
67322849832453703263030-17659.1-16875.4
68308198830691503229540-16038512836.1
69318827631865003197660-11161.11772.89
70277331628684403164660-296225-95120.2
71302757030703403131710-61367.8-42774.1
7231753543150020310210047916.525338.5
733202472319402030736201203988450.43
743054688305277030451607613.61918.65
75306761030135103022250-8737.7654101.3
7630275703017420300107016353.810149.9
77316225031829802979350203629-20726.9
78306761031200102960380159625-52396.6
79288106029225702940230-17659.1-41513.6
80274619827574802917870-160385-11286.5
81297424428760302887190-11161.198217.7
82247902225541802850400-296225-75153.3
83280061627538702815240-61367.846747.1
8429471262826860277894047916.5120267
8529471262858610273821012039888515.3
862773316270061026929907613.672709.1
87261261026356902644430-8737.76-23081.9
8825996882612770259641016353.8-13077.8
89274619827575802553950203629-11384.2
90261261026772702517640159625-64658.8
91235853824693002486950-17659.1-110757
92218345422997802460160-160385-116323
93237146024222102433370-11161.1-50749.3
94192938221153702411600-296225-185991
95233123823306702392040-61367.8564.607
9625450882420400237248047916.5124688
97261261024710502350650120398141561
982464826232979023221807613.6135036
99227809422822102290950-8737.76-4115.99
10024116822275470225912016353.8136208
10124648262433140222952020362931681.6
10224246042357330219770015962567276
103202256621476902165340-17659.1-125120
104183601619725902132980-160385-136578
105196942220871902098350-11161.1-117763
106156756617663502062580-296225-198784
107198252619643502025720-61367.818173.1
10821303102034030198611047916.596280.6
109225079420641601943760120398186636
1102049866190951019018907613.6140360
111186186018529001861640-8737.768957.67
11219694221837200182085016353.8132219
11320225661984820178119020362937748.2
1141916278191012017505001596256154.37
1151514422NANA-17659.1NA
1161339338NANA-160385NA
1171500044NANA-11161.1NA
1181057966NANA-296225NA
1191540266NANA-61367.8NA
1201836016NANA47916.5NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 3469648 & NA & NA & 120398 & NA \tabularnewline
2 & 3456726 & NA & NA & 7613.6 & NA \tabularnewline
3 & 3443622 & NA & NA & -8737.76 & NA \tabularnewline
4 & 3416504 & NA & NA & 16353.8 & NA \tabularnewline
5 & 3684772 & NA & NA & 203629 & NA \tabularnewline
6 & 3670576 & NA & NA & 159625 & NA \tabularnewline
7 & 3469648 & 3430510 & 3448160 & -17659.1 & 39142.7 \tabularnewline
8 & 3336060 & 3284970 & 3445350 & -160385 & 51094 \tabularnewline
9 & 3348982 & 3431380 & 3442550 & -11161.1 & -82402.1 \tabularnewline
10 & 3348982 & 3141300 & 3437530 & -296225 & 207682 \tabularnewline
11 & 3363360 & 3372810 & 3434170 & -61367.8 & -9445.39 \tabularnewline
12 & 3389204 & 3484900 & 3436980 & 47916.5 & -95691.5 \tabularnewline
13 & 3429426 & 3568020 & 3447620 & 120398 & -138590 \tabularnewline
14 & 3429426 & 3468630 & 3461020 & 7613.6 & -39205.8 \tabularnewline
15 & 3403582 & 3466230 & 3474960 & -8737.76 & -62644.2 \tabularnewline
16 & 3336060 & 3503050 & 3486700 & 16353.8 & -166989 \tabularnewline
17 & 3684772 & 3698700 & 3495070 & 203629 & -13924.6 \tabularnewline
18 & 3737916 & 3664740 & 3505120 & 159625 & 73175.9 \tabularnewline
19 & 3657654 & 3496970 & 3514620 & -17659.1 & 160688 \tabularnewline
20 & 3469648 & 3360400 & 3520780 & -160385 & 109251 \tabularnewline
21 & 3550092 & 3514640 & 3525800 & -11161.1 & 35450.5 \tabularnewline
22 & 3429426 & 3235140 & 3531360 & -296225 & 194290 \tabularnewline
23 & 3483844 & 3472210 & 3533580 & -61367.8 & 11636.3 \tabularnewline
24 & 3509870 & 3583170 & 3535250 & 47916.5 & -73297.9 \tabularnewline
25 & 3536988 & 3659000 & 3538600 & 120398 & -122013 \tabularnewline
26 & 3469648 & 3551240 & 3543630 & 7613.6 & -81596.6 \tabularnewline
27 & 3483844 & 3544940 & 3553680 & -8737.76 & -61097.2 \tabularnewline
28 & 3389204 & 3581210 & 3564860 & 16353.8 & -192007 \tabularnewline
29 & 3684772 & 3781890 & 3578260 & 203629 & -97113.8 \tabularnewline
30 & 3778138 & 3754090 & 3594460 & 159625 & 24051 \tabularnewline
31 & 3697876 & 3591920 & 3609580 & -17659.1 & 105952 \tabularnewline
32 & 3550092 & 3461510 & 3621900 & -160385 & 88578.5 \tabularnewline
33 & 3710798 & 3625810 & 3636970 & -11161.1 & 84992.4 \tabularnewline
34 & 3536988 & 3365320 & 3661540 & -296225 & 171669 \tabularnewline
35 & 3697876 & 3625890 & 3687260 & -61367.8 & 71984.4 \tabularnewline
36 & 3684772 & 3752470 & 3704550 & 47916.5 & -67693.8 \tabularnewline
37 & 3724994 & 3830510 & 3710120 & 120398 & -105519 \tabularnewline
38 & 3577210 & 3719400 & 3711780 & 7613.6 & -142187 \tabularnewline
39 & 3737916 & 3705840 & 3714580 & -8737.76 & 32071.7 \tabularnewline
40 & 3724994 & 3732070 & 3715710 & 16353.8 & -7071.81 \tabularnewline
41 & 3966144 & 3918800 & 3715170 & 203629 & 47348.7 \tabularnewline
42 & 3911726 & 3875330 & 3715700 & 159625 & 36396.7 \tabularnewline
43 & 3697876 & 3700810 & 3718460 & -17659.1 & -2929.62 \tabularnewline
44 & 3590132 & 3562570 & 3722950 & -160385 & 27563 \tabularnewline
45 & 3737916 & 3713480 & 3724640 & -11161.1 & 24439.5 \tabularnewline
46 & 3536988 & 3428370 & 3724590 & -296225 & 108621 \tabularnewline
47 & 3684772 & 3661500 & 3722870 & -61367.8 & 23269.1 \tabularnewline
48 & 3710798 & 3762420 & 3714500 & 47916.5 & -51617.2 \tabularnewline
49 & 3765216 & 3825980 & 3705580 & 120398 & -60762.7 \tabularnewline
50 & 3644732 & 3703740 & 3696120 & 7613.6 & -59005.8 \tabularnewline
51 & 3710798 & 3675720 & 3684460 & -8737.76 & 35074.7 \tabularnewline
52 & 3751020 & 3679640 & 3663290 & 16353.8 & 71377.8 \tabularnewline
53 & 3898804 & 3838450 & 3634820 & 203629 & 60354.1 \tabularnewline
54 & 3778138 & 3772670 & 3613050 & 159625 & 5464.28 \tabularnewline
55 & 3617432 & 3580310 & 3597970 & -17659.1 & 37118 \tabularnewline
56 & 3443622 & 3423050 & 3583440 & -160385 & 20571.1 \tabularnewline
57 & 3604510 & 3552760 & 3563920 & -11161.1 & 51747.1 \tabularnewline
58 & 3162250 & 3243760 & 3539980 & -296225 & -81508.1 \tabularnewline
59 & 3376282 & 3450730 & 3512100 & -61367.8 & -74449.7 \tabularnewline
60 & 3496766 & 3529330 & 3481420 & 47916.5 & -32567.8 \tabularnewline
61 & 3617432 & 3570000 & 3449610 & 120398 & 47428.8 \tabularnewline
62 & 3443622 & 3425950 & 3418330 & 7613.6 & 17676.8 \tabularnewline
63 & 3443622 & 3377180 & 3385920 & -8737.76 & 66439.3 \tabularnewline
64 & 3443622 & 3368730 & 3352370 & 16353.8 & 74896.4 \tabularnewline
65 & 3536988 & 3525270 & 3321640 & 203629 & 11722.2 \tabularnewline
66 & 3403582 & 3453340 & 3293710 & 159625 & -49757.6 \tabularnewline
67 & 3228498 & 3245370 & 3263030 & -17659.1 & -16875.4 \tabularnewline
68 & 3081988 & 3069150 & 3229540 & -160385 & 12836.1 \tabularnewline
69 & 3188276 & 3186500 & 3197660 & -11161.1 & 1772.89 \tabularnewline
70 & 2773316 & 2868440 & 3164660 & -296225 & -95120.2 \tabularnewline
71 & 3027570 & 3070340 & 3131710 & -61367.8 & -42774.1 \tabularnewline
72 & 3175354 & 3150020 & 3102100 & 47916.5 & 25338.5 \tabularnewline
73 & 3202472 & 3194020 & 3073620 & 120398 & 8450.43 \tabularnewline
74 & 3054688 & 3052770 & 3045160 & 7613.6 & 1918.65 \tabularnewline
75 & 3067610 & 3013510 & 3022250 & -8737.76 & 54101.3 \tabularnewline
76 & 3027570 & 3017420 & 3001070 & 16353.8 & 10149.9 \tabularnewline
77 & 3162250 & 3182980 & 2979350 & 203629 & -20726.9 \tabularnewline
78 & 3067610 & 3120010 & 2960380 & 159625 & -52396.6 \tabularnewline
79 & 2881060 & 2922570 & 2940230 & -17659.1 & -41513.6 \tabularnewline
80 & 2746198 & 2757480 & 2917870 & -160385 & -11286.5 \tabularnewline
81 & 2974244 & 2876030 & 2887190 & -11161.1 & 98217.7 \tabularnewline
82 & 2479022 & 2554180 & 2850400 & -296225 & -75153.3 \tabularnewline
83 & 2800616 & 2753870 & 2815240 & -61367.8 & 46747.1 \tabularnewline
84 & 2947126 & 2826860 & 2778940 & 47916.5 & 120267 \tabularnewline
85 & 2947126 & 2858610 & 2738210 & 120398 & 88515.3 \tabularnewline
86 & 2773316 & 2700610 & 2692990 & 7613.6 & 72709.1 \tabularnewline
87 & 2612610 & 2635690 & 2644430 & -8737.76 & -23081.9 \tabularnewline
88 & 2599688 & 2612770 & 2596410 & 16353.8 & -13077.8 \tabularnewline
89 & 2746198 & 2757580 & 2553950 & 203629 & -11384.2 \tabularnewline
90 & 2612610 & 2677270 & 2517640 & 159625 & -64658.8 \tabularnewline
91 & 2358538 & 2469300 & 2486950 & -17659.1 & -110757 \tabularnewline
92 & 2183454 & 2299780 & 2460160 & -160385 & -116323 \tabularnewline
93 & 2371460 & 2422210 & 2433370 & -11161.1 & -50749.3 \tabularnewline
94 & 1929382 & 2115370 & 2411600 & -296225 & -185991 \tabularnewline
95 & 2331238 & 2330670 & 2392040 & -61367.8 & 564.607 \tabularnewline
96 & 2545088 & 2420400 & 2372480 & 47916.5 & 124688 \tabularnewline
97 & 2612610 & 2471050 & 2350650 & 120398 & 141561 \tabularnewline
98 & 2464826 & 2329790 & 2322180 & 7613.6 & 135036 \tabularnewline
99 & 2278094 & 2282210 & 2290950 & -8737.76 & -4115.99 \tabularnewline
100 & 2411682 & 2275470 & 2259120 & 16353.8 & 136208 \tabularnewline
101 & 2464826 & 2433140 & 2229520 & 203629 & 31681.6 \tabularnewline
102 & 2424604 & 2357330 & 2197700 & 159625 & 67276 \tabularnewline
103 & 2022566 & 2147690 & 2165340 & -17659.1 & -125120 \tabularnewline
104 & 1836016 & 1972590 & 2132980 & -160385 & -136578 \tabularnewline
105 & 1969422 & 2087190 & 2098350 & -11161.1 & -117763 \tabularnewline
106 & 1567566 & 1766350 & 2062580 & -296225 & -198784 \tabularnewline
107 & 1982526 & 1964350 & 2025720 & -61367.8 & 18173.1 \tabularnewline
108 & 2130310 & 2034030 & 1986110 & 47916.5 & 96280.6 \tabularnewline
109 & 2250794 & 2064160 & 1943760 & 120398 & 186636 \tabularnewline
110 & 2049866 & 1909510 & 1901890 & 7613.6 & 140360 \tabularnewline
111 & 1861860 & 1852900 & 1861640 & -8737.76 & 8957.67 \tabularnewline
112 & 1969422 & 1837200 & 1820850 & 16353.8 & 132219 \tabularnewline
113 & 2022566 & 1984820 & 1781190 & 203629 & 37748.2 \tabularnewline
114 & 1916278 & 1910120 & 1750500 & 159625 & 6154.37 \tabularnewline
115 & 1514422 & NA & NA & -17659.1 & NA \tabularnewline
116 & 1339338 & NA & NA & -160385 & NA \tabularnewline
117 & 1500044 & NA & NA & -11161.1 & NA \tabularnewline
118 & 1057966 & NA & NA & -296225 & NA \tabularnewline
119 & 1540266 & NA & NA & -61367.8 & NA \tabularnewline
120 & 1836016 & NA & NA & 47916.5 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279961&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]3469648[/C][C]NA[/C][C]NA[/C][C]120398[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]3456726[/C][C]NA[/C][C]NA[/C][C]7613.6[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]3443622[/C][C]NA[/C][C]NA[/C][C]-8737.76[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]3416504[/C][C]NA[/C][C]NA[/C][C]16353.8[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]3684772[/C][C]NA[/C][C]NA[/C][C]203629[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]3670576[/C][C]NA[/C][C]NA[/C][C]159625[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]3469648[/C][C]3430510[/C][C]3448160[/C][C]-17659.1[/C][C]39142.7[/C][/ROW]
[ROW][C]8[/C][C]3336060[/C][C]3284970[/C][C]3445350[/C][C]-160385[/C][C]51094[/C][/ROW]
[ROW][C]9[/C][C]3348982[/C][C]3431380[/C][C]3442550[/C][C]-11161.1[/C][C]-82402.1[/C][/ROW]
[ROW][C]10[/C][C]3348982[/C][C]3141300[/C][C]3437530[/C][C]-296225[/C][C]207682[/C][/ROW]
[ROW][C]11[/C][C]3363360[/C][C]3372810[/C][C]3434170[/C][C]-61367.8[/C][C]-9445.39[/C][/ROW]
[ROW][C]12[/C][C]3389204[/C][C]3484900[/C][C]3436980[/C][C]47916.5[/C][C]-95691.5[/C][/ROW]
[ROW][C]13[/C][C]3429426[/C][C]3568020[/C][C]3447620[/C][C]120398[/C][C]-138590[/C][/ROW]
[ROW][C]14[/C][C]3429426[/C][C]3468630[/C][C]3461020[/C][C]7613.6[/C][C]-39205.8[/C][/ROW]
[ROW][C]15[/C][C]3403582[/C][C]3466230[/C][C]3474960[/C][C]-8737.76[/C][C]-62644.2[/C][/ROW]
[ROW][C]16[/C][C]3336060[/C][C]3503050[/C][C]3486700[/C][C]16353.8[/C][C]-166989[/C][/ROW]
[ROW][C]17[/C][C]3684772[/C][C]3698700[/C][C]3495070[/C][C]203629[/C][C]-13924.6[/C][/ROW]
[ROW][C]18[/C][C]3737916[/C][C]3664740[/C][C]3505120[/C][C]159625[/C][C]73175.9[/C][/ROW]
[ROW][C]19[/C][C]3657654[/C][C]3496970[/C][C]3514620[/C][C]-17659.1[/C][C]160688[/C][/ROW]
[ROW][C]20[/C][C]3469648[/C][C]3360400[/C][C]3520780[/C][C]-160385[/C][C]109251[/C][/ROW]
[ROW][C]21[/C][C]3550092[/C][C]3514640[/C][C]3525800[/C][C]-11161.1[/C][C]35450.5[/C][/ROW]
[ROW][C]22[/C][C]3429426[/C][C]3235140[/C][C]3531360[/C][C]-296225[/C][C]194290[/C][/ROW]
[ROW][C]23[/C][C]3483844[/C][C]3472210[/C][C]3533580[/C][C]-61367.8[/C][C]11636.3[/C][/ROW]
[ROW][C]24[/C][C]3509870[/C][C]3583170[/C][C]3535250[/C][C]47916.5[/C][C]-73297.9[/C][/ROW]
[ROW][C]25[/C][C]3536988[/C][C]3659000[/C][C]3538600[/C][C]120398[/C][C]-122013[/C][/ROW]
[ROW][C]26[/C][C]3469648[/C][C]3551240[/C][C]3543630[/C][C]7613.6[/C][C]-81596.6[/C][/ROW]
[ROW][C]27[/C][C]3483844[/C][C]3544940[/C][C]3553680[/C][C]-8737.76[/C][C]-61097.2[/C][/ROW]
[ROW][C]28[/C][C]3389204[/C][C]3581210[/C][C]3564860[/C][C]16353.8[/C][C]-192007[/C][/ROW]
[ROW][C]29[/C][C]3684772[/C][C]3781890[/C][C]3578260[/C][C]203629[/C][C]-97113.8[/C][/ROW]
[ROW][C]30[/C][C]3778138[/C][C]3754090[/C][C]3594460[/C][C]159625[/C][C]24051[/C][/ROW]
[ROW][C]31[/C][C]3697876[/C][C]3591920[/C][C]3609580[/C][C]-17659.1[/C][C]105952[/C][/ROW]
[ROW][C]32[/C][C]3550092[/C][C]3461510[/C][C]3621900[/C][C]-160385[/C][C]88578.5[/C][/ROW]
[ROW][C]33[/C][C]3710798[/C][C]3625810[/C][C]3636970[/C][C]-11161.1[/C][C]84992.4[/C][/ROW]
[ROW][C]34[/C][C]3536988[/C][C]3365320[/C][C]3661540[/C][C]-296225[/C][C]171669[/C][/ROW]
[ROW][C]35[/C][C]3697876[/C][C]3625890[/C][C]3687260[/C][C]-61367.8[/C][C]71984.4[/C][/ROW]
[ROW][C]36[/C][C]3684772[/C][C]3752470[/C][C]3704550[/C][C]47916.5[/C][C]-67693.8[/C][/ROW]
[ROW][C]37[/C][C]3724994[/C][C]3830510[/C][C]3710120[/C][C]120398[/C][C]-105519[/C][/ROW]
[ROW][C]38[/C][C]3577210[/C][C]3719400[/C][C]3711780[/C][C]7613.6[/C][C]-142187[/C][/ROW]
[ROW][C]39[/C][C]3737916[/C][C]3705840[/C][C]3714580[/C][C]-8737.76[/C][C]32071.7[/C][/ROW]
[ROW][C]40[/C][C]3724994[/C][C]3732070[/C][C]3715710[/C][C]16353.8[/C][C]-7071.81[/C][/ROW]
[ROW][C]41[/C][C]3966144[/C][C]3918800[/C][C]3715170[/C][C]203629[/C][C]47348.7[/C][/ROW]
[ROW][C]42[/C][C]3911726[/C][C]3875330[/C][C]3715700[/C][C]159625[/C][C]36396.7[/C][/ROW]
[ROW][C]43[/C][C]3697876[/C][C]3700810[/C][C]3718460[/C][C]-17659.1[/C][C]-2929.62[/C][/ROW]
[ROW][C]44[/C][C]3590132[/C][C]3562570[/C][C]3722950[/C][C]-160385[/C][C]27563[/C][/ROW]
[ROW][C]45[/C][C]3737916[/C][C]3713480[/C][C]3724640[/C][C]-11161.1[/C][C]24439.5[/C][/ROW]
[ROW][C]46[/C][C]3536988[/C][C]3428370[/C][C]3724590[/C][C]-296225[/C][C]108621[/C][/ROW]
[ROW][C]47[/C][C]3684772[/C][C]3661500[/C][C]3722870[/C][C]-61367.8[/C][C]23269.1[/C][/ROW]
[ROW][C]48[/C][C]3710798[/C][C]3762420[/C][C]3714500[/C][C]47916.5[/C][C]-51617.2[/C][/ROW]
[ROW][C]49[/C][C]3765216[/C][C]3825980[/C][C]3705580[/C][C]120398[/C][C]-60762.7[/C][/ROW]
[ROW][C]50[/C][C]3644732[/C][C]3703740[/C][C]3696120[/C][C]7613.6[/C][C]-59005.8[/C][/ROW]
[ROW][C]51[/C][C]3710798[/C][C]3675720[/C][C]3684460[/C][C]-8737.76[/C][C]35074.7[/C][/ROW]
[ROW][C]52[/C][C]3751020[/C][C]3679640[/C][C]3663290[/C][C]16353.8[/C][C]71377.8[/C][/ROW]
[ROW][C]53[/C][C]3898804[/C][C]3838450[/C][C]3634820[/C][C]203629[/C][C]60354.1[/C][/ROW]
[ROW][C]54[/C][C]3778138[/C][C]3772670[/C][C]3613050[/C][C]159625[/C][C]5464.28[/C][/ROW]
[ROW][C]55[/C][C]3617432[/C][C]3580310[/C][C]3597970[/C][C]-17659.1[/C][C]37118[/C][/ROW]
[ROW][C]56[/C][C]3443622[/C][C]3423050[/C][C]3583440[/C][C]-160385[/C][C]20571.1[/C][/ROW]
[ROW][C]57[/C][C]3604510[/C][C]3552760[/C][C]3563920[/C][C]-11161.1[/C][C]51747.1[/C][/ROW]
[ROW][C]58[/C][C]3162250[/C][C]3243760[/C][C]3539980[/C][C]-296225[/C][C]-81508.1[/C][/ROW]
[ROW][C]59[/C][C]3376282[/C][C]3450730[/C][C]3512100[/C][C]-61367.8[/C][C]-74449.7[/C][/ROW]
[ROW][C]60[/C][C]3496766[/C][C]3529330[/C][C]3481420[/C][C]47916.5[/C][C]-32567.8[/C][/ROW]
[ROW][C]61[/C][C]3617432[/C][C]3570000[/C][C]3449610[/C][C]120398[/C][C]47428.8[/C][/ROW]
[ROW][C]62[/C][C]3443622[/C][C]3425950[/C][C]3418330[/C][C]7613.6[/C][C]17676.8[/C][/ROW]
[ROW][C]63[/C][C]3443622[/C][C]3377180[/C][C]3385920[/C][C]-8737.76[/C][C]66439.3[/C][/ROW]
[ROW][C]64[/C][C]3443622[/C][C]3368730[/C][C]3352370[/C][C]16353.8[/C][C]74896.4[/C][/ROW]
[ROW][C]65[/C][C]3536988[/C][C]3525270[/C][C]3321640[/C][C]203629[/C][C]11722.2[/C][/ROW]
[ROW][C]66[/C][C]3403582[/C][C]3453340[/C][C]3293710[/C][C]159625[/C][C]-49757.6[/C][/ROW]
[ROW][C]67[/C][C]3228498[/C][C]3245370[/C][C]3263030[/C][C]-17659.1[/C][C]-16875.4[/C][/ROW]
[ROW][C]68[/C][C]3081988[/C][C]3069150[/C][C]3229540[/C][C]-160385[/C][C]12836.1[/C][/ROW]
[ROW][C]69[/C][C]3188276[/C][C]3186500[/C][C]3197660[/C][C]-11161.1[/C][C]1772.89[/C][/ROW]
[ROW][C]70[/C][C]2773316[/C][C]2868440[/C][C]3164660[/C][C]-296225[/C][C]-95120.2[/C][/ROW]
[ROW][C]71[/C][C]3027570[/C][C]3070340[/C][C]3131710[/C][C]-61367.8[/C][C]-42774.1[/C][/ROW]
[ROW][C]72[/C][C]3175354[/C][C]3150020[/C][C]3102100[/C][C]47916.5[/C][C]25338.5[/C][/ROW]
[ROW][C]73[/C][C]3202472[/C][C]3194020[/C][C]3073620[/C][C]120398[/C][C]8450.43[/C][/ROW]
[ROW][C]74[/C][C]3054688[/C][C]3052770[/C][C]3045160[/C][C]7613.6[/C][C]1918.65[/C][/ROW]
[ROW][C]75[/C][C]3067610[/C][C]3013510[/C][C]3022250[/C][C]-8737.76[/C][C]54101.3[/C][/ROW]
[ROW][C]76[/C][C]3027570[/C][C]3017420[/C][C]3001070[/C][C]16353.8[/C][C]10149.9[/C][/ROW]
[ROW][C]77[/C][C]3162250[/C][C]3182980[/C][C]2979350[/C][C]203629[/C][C]-20726.9[/C][/ROW]
[ROW][C]78[/C][C]3067610[/C][C]3120010[/C][C]2960380[/C][C]159625[/C][C]-52396.6[/C][/ROW]
[ROW][C]79[/C][C]2881060[/C][C]2922570[/C][C]2940230[/C][C]-17659.1[/C][C]-41513.6[/C][/ROW]
[ROW][C]80[/C][C]2746198[/C][C]2757480[/C][C]2917870[/C][C]-160385[/C][C]-11286.5[/C][/ROW]
[ROW][C]81[/C][C]2974244[/C][C]2876030[/C][C]2887190[/C][C]-11161.1[/C][C]98217.7[/C][/ROW]
[ROW][C]82[/C][C]2479022[/C][C]2554180[/C][C]2850400[/C][C]-296225[/C][C]-75153.3[/C][/ROW]
[ROW][C]83[/C][C]2800616[/C][C]2753870[/C][C]2815240[/C][C]-61367.8[/C][C]46747.1[/C][/ROW]
[ROW][C]84[/C][C]2947126[/C][C]2826860[/C][C]2778940[/C][C]47916.5[/C][C]120267[/C][/ROW]
[ROW][C]85[/C][C]2947126[/C][C]2858610[/C][C]2738210[/C][C]120398[/C][C]88515.3[/C][/ROW]
[ROW][C]86[/C][C]2773316[/C][C]2700610[/C][C]2692990[/C][C]7613.6[/C][C]72709.1[/C][/ROW]
[ROW][C]87[/C][C]2612610[/C][C]2635690[/C][C]2644430[/C][C]-8737.76[/C][C]-23081.9[/C][/ROW]
[ROW][C]88[/C][C]2599688[/C][C]2612770[/C][C]2596410[/C][C]16353.8[/C][C]-13077.8[/C][/ROW]
[ROW][C]89[/C][C]2746198[/C][C]2757580[/C][C]2553950[/C][C]203629[/C][C]-11384.2[/C][/ROW]
[ROW][C]90[/C][C]2612610[/C][C]2677270[/C][C]2517640[/C][C]159625[/C][C]-64658.8[/C][/ROW]
[ROW][C]91[/C][C]2358538[/C][C]2469300[/C][C]2486950[/C][C]-17659.1[/C][C]-110757[/C][/ROW]
[ROW][C]92[/C][C]2183454[/C][C]2299780[/C][C]2460160[/C][C]-160385[/C][C]-116323[/C][/ROW]
[ROW][C]93[/C][C]2371460[/C][C]2422210[/C][C]2433370[/C][C]-11161.1[/C][C]-50749.3[/C][/ROW]
[ROW][C]94[/C][C]1929382[/C][C]2115370[/C][C]2411600[/C][C]-296225[/C][C]-185991[/C][/ROW]
[ROW][C]95[/C][C]2331238[/C][C]2330670[/C][C]2392040[/C][C]-61367.8[/C][C]564.607[/C][/ROW]
[ROW][C]96[/C][C]2545088[/C][C]2420400[/C][C]2372480[/C][C]47916.5[/C][C]124688[/C][/ROW]
[ROW][C]97[/C][C]2612610[/C][C]2471050[/C][C]2350650[/C][C]120398[/C][C]141561[/C][/ROW]
[ROW][C]98[/C][C]2464826[/C][C]2329790[/C][C]2322180[/C][C]7613.6[/C][C]135036[/C][/ROW]
[ROW][C]99[/C][C]2278094[/C][C]2282210[/C][C]2290950[/C][C]-8737.76[/C][C]-4115.99[/C][/ROW]
[ROW][C]100[/C][C]2411682[/C][C]2275470[/C][C]2259120[/C][C]16353.8[/C][C]136208[/C][/ROW]
[ROW][C]101[/C][C]2464826[/C][C]2433140[/C][C]2229520[/C][C]203629[/C][C]31681.6[/C][/ROW]
[ROW][C]102[/C][C]2424604[/C][C]2357330[/C][C]2197700[/C][C]159625[/C][C]67276[/C][/ROW]
[ROW][C]103[/C][C]2022566[/C][C]2147690[/C][C]2165340[/C][C]-17659.1[/C][C]-125120[/C][/ROW]
[ROW][C]104[/C][C]1836016[/C][C]1972590[/C][C]2132980[/C][C]-160385[/C][C]-136578[/C][/ROW]
[ROW][C]105[/C][C]1969422[/C][C]2087190[/C][C]2098350[/C][C]-11161.1[/C][C]-117763[/C][/ROW]
[ROW][C]106[/C][C]1567566[/C][C]1766350[/C][C]2062580[/C][C]-296225[/C][C]-198784[/C][/ROW]
[ROW][C]107[/C][C]1982526[/C][C]1964350[/C][C]2025720[/C][C]-61367.8[/C][C]18173.1[/C][/ROW]
[ROW][C]108[/C][C]2130310[/C][C]2034030[/C][C]1986110[/C][C]47916.5[/C][C]96280.6[/C][/ROW]
[ROW][C]109[/C][C]2250794[/C][C]2064160[/C][C]1943760[/C][C]120398[/C][C]186636[/C][/ROW]
[ROW][C]110[/C][C]2049866[/C][C]1909510[/C][C]1901890[/C][C]7613.6[/C][C]140360[/C][/ROW]
[ROW][C]111[/C][C]1861860[/C][C]1852900[/C][C]1861640[/C][C]-8737.76[/C][C]8957.67[/C][/ROW]
[ROW][C]112[/C][C]1969422[/C][C]1837200[/C][C]1820850[/C][C]16353.8[/C][C]132219[/C][/ROW]
[ROW][C]113[/C][C]2022566[/C][C]1984820[/C][C]1781190[/C][C]203629[/C][C]37748.2[/C][/ROW]
[ROW][C]114[/C][C]1916278[/C][C]1910120[/C][C]1750500[/C][C]159625[/C][C]6154.37[/C][/ROW]
[ROW][C]115[/C][C]1514422[/C][C]NA[/C][C]NA[/C][C]-17659.1[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]1339338[/C][C]NA[/C][C]NA[/C][C]-160385[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]1500044[/C][C]NA[/C][C]NA[/C][C]-11161.1[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]1057966[/C][C]NA[/C][C]NA[/C][C]-296225[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]1540266[/C][C]NA[/C][C]NA[/C][C]-61367.8[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]1836016[/C][C]NA[/C][C]NA[/C][C]47916.5[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279961&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279961&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
13469648NANA120398NA
23456726NANA7613.6NA
33443622NANA-8737.76NA
43416504NANA16353.8NA
53684772NANA203629NA
63670576NANA159625NA
7346964834305103448160-17659.139142.7
8333606032849703445350-16038551094
9334898234313803442550-11161.1-82402.1
10334898231413003437530-296225207682
11336336033728103434170-61367.8-9445.39
1233892043484900343698047916.5-95691.5
13342942635680203447620120398-138590
143429426346863034610207613.6-39205.8
15340358234662303474960-8737.76-62644.2
1633360603503050348670016353.8-166989
17368477236987003495070203629-13924.6
1837379163664740350512015962573175.9
19365765434969703514620-17659.1160688
20346964833604003520780-160385109251
21355009235146403525800-11161.135450.5
22342942632351403531360-296225194290
23348384434722103533580-61367.811636.3
2435098703583170353525047916.5-73297.9
25353698836590003538600120398-122013
263469648355124035436307613.6-81596.6
27348384435449403553680-8737.76-61097.2
2833892043581210356486016353.8-192007
29368477237818903578260203629-97113.8
3037781383754090359446015962524051
31369787635919203609580-17659.1105952
32355009234615103621900-16038588578.5
33371079836258103636970-11161.184992.4
34353698833653203661540-296225171669
35369787636258903687260-61367.871984.4
3636847723752470370455047916.5-67693.8
37372499438305103710120120398-105519
383577210371940037117807613.6-142187
39373791637058403714580-8737.7632071.7
4037249943732070371571016353.8-7071.81
4139661443918800371517020362947348.7
4239117263875330371570015962536396.7
43369787637008103718460-17659.1-2929.62
44359013235625703722950-16038527563
45373791637134803724640-11161.124439.5
46353698834283703724590-296225108621
47368477236615003722870-61367.823269.1
4837107983762420371450047916.5-51617.2
49376521638259803705580120398-60762.7
503644732370374036961207613.6-59005.8
51371079836757203684460-8737.7635074.7
5237510203679640366329016353.871377.8
5338988043838450363482020362960354.1
543778138377267036130501596255464.28
55361743235803103597970-17659.137118
56344362234230503583440-16038520571.1
57360451035527603563920-11161.151747.1
58316225032437603539980-296225-81508.1
59337628234507303512100-61367.8-74449.7
6034967663529330348142047916.5-32567.8
6136174323570000344961012039847428.8
623443622342595034183307613.617676.8
63344362233771803385920-8737.7666439.3
6434436223368730335237016353.874896.4
6535369883525270332164020362911722.2
66340358234533403293710159625-49757.6
67322849832453703263030-17659.1-16875.4
68308198830691503229540-16038512836.1
69318827631865003197660-11161.11772.89
70277331628684403164660-296225-95120.2
71302757030703403131710-61367.8-42774.1
7231753543150020310210047916.525338.5
733202472319402030736201203988450.43
743054688305277030451607613.61918.65
75306761030135103022250-8737.7654101.3
7630275703017420300107016353.810149.9
77316225031829802979350203629-20726.9
78306761031200102960380159625-52396.6
79288106029225702940230-17659.1-41513.6
80274619827574802917870-160385-11286.5
81297424428760302887190-11161.198217.7
82247902225541802850400-296225-75153.3
83280061627538702815240-61367.846747.1
8429471262826860277894047916.5120267
8529471262858610273821012039888515.3
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Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = additive ; par2 = 12 ;
Parameters (R input):
par1 = additive ; 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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')