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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Fri, 04 Dec 2009 07:05:31 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/04/t1259935669xerbhcbvm68fxna.htm/, Retrieved Sun, 28 Apr 2024 07:34:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63554, Retrieved Sun, 28 Apr 2024 07:34:44 +0000

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Estimated Impact

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]
-    D      [Classical Decomposition] [WS 9 Classical De...] [2009-12-04 14:05:31] [eba9f01697e64705b70041e6f338cb22] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=63554&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=63554&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63554&T=0

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	98.8	NA	NA	0.964989564232974	NA
2	100.5	NA	NA	0.971818484774287	NA
3	110.4	NA	NA	1.06541920173552	NA
4	96.4	NA	NA	1.01252753388232	NA
5	101.9	NA	NA	0.995781731101289	NA
6	106.2	NA	NA	1.07618654582335	NA
7	81	83.0234774146545	99.3333333333333	0.835806819610616	0.975627648013966
8	94.7	92.7097339006648	99.0416666666667	0.93606799058307	1.02146771450631
9	101	105.839614235677	98.675	1.07260820102029	0.954274075254087
10	109.4	108.061306039069	98.7708333333333	1.09406089219053	1.01238828226310
11	102.3	101.662155014455	99.0541666666667	1.02632891109532	1.00627416353170
12	90.7	93.888056587243	98.9958333333333	0.948404123950431	0.966044066698936
13	96.2	95.6706737139975	99.1416666666667	0.964989564232974	1.00553279563584
14	96.1	96.4448861264749	99.2416666666667	0.971818484774287	0.996424008152981
15	106	105.880472419141	99.3791666666667	1.06541920173552	1.00112889164667
16	103.1	101.008059234211	99.7583333333333	1.01252753388232	1.02071063221736
17	102	99.4454022126487	99.8666666666667	0.995781731101289	1.02568844542344
18	104.7	107.506551817146	99.8958333333333	1.07618654582335	0.97389413231373
19	86	83.5806819610616	100	0.835806819610616	1.02894589972436
20	92.1	93.6887050074829	100.0875	0.93606799058307	0.983042726363268
21	106.9	107.368080922131	100.1	1.07260820102029	0.995640408973404
22	112.6	109.469909437764	100.058333333333	1.09406089219053	1.02859315932855
23	101.7	102.508876366108	99.8791666666667	1.02632891109532	0.992109206589881
24	92	94.5637945255576	99.7083333333333	0.948404123950431	0.972888201679929
25	97.4	96.265750611941	99.7583333333333	0.964989564232974	1.01178248110931
26	97	96.9145983941158	99.725	0.971818484774287	1.00088120476481
27	105.4	106.280004619792	99.7541666666667	1.06541920173552	0.991719941837228
28	102.7	101.088217663976	99.8375	1.01252753388232	1.01594431451330
29	98.1	99.2503949569747	99.6708333333333	0.995781731101289	0.98840916494616
30	104.5	107.345123835272	99.7458333333333	1.07618654582335	0.97349554657333
31	87.4	83.458793466535	99.8541666666667	0.835806819610616	1.04722338257916
32	89.9	93.3805826272494	99.7583333333333	0.93606799058307	0.962726912498041
33	109.8	107.327858114593	100.0625	1.07260820102029	1.02303355278709
34	111.7	109.816362053624	100.375	1.09406089219053	1.01715261652408
35	98.6	102.996382598879	100.354166666667	1.02632891109532	0.957315174689188
36	96.9	95.4213099209628	100.6125	0.948404123950431	1.01549643449940
37	95.1	97.3674470311071	100.9	0.964989564232974	0.976712473211065
38	97	98.3358829280982	101.1875	0.971818484774287	0.986415102114098
39	112.7	108.304301103089	101.654166666667	1.06541920173552	1.04058655890985
40	102.9	103.049989760873	101.775	1.01252753388232	0.998544495140453
41	97.4	101.507500214138	101.9375	0.995781731101289	0.959535007704135
42	111.4	110.152177075628	102.354166666667	1.07618654582335	1.01132817305568
43	87.4	85.6945767089934	102.529166666667	0.835806819610616	1.01990118110739
44	96.8	95.9118664851177	102.4625	0.93606799058307	1.00925989189273
45	114.1	109.495420520821	102.083333333333	1.07260820102029	1.04205271286486
46	110.3	111.316137193335	101.745833333333	1.09406089219053	0.990871609283651
47	103.9	104.450348556264	101.770833333333	1.02632891109532	0.99473100316207
48	101.6	96.6463319143987	101.904166666667	0.948404123950431	1.05125562437267
49	94.6	98.1756257911522	101.7375	0.964989564232974	0.963579292086627
50	95.9	98.5626405745455	101.420833333333	0.971818484774287	0.972985295858306
51	104.7	107.966918355873	101.3375	1.06541920173552	0.969741487433172
52	102.8	102.383409134401	101.116666666667	1.01252753388232	1.00406892942051
53	98.1	100.710874829257	101.1375	0.995781731101289	0.97407554215289
54	113.9	109.093926972235	101.370833333333	1.07618654582335	1.04405445070273
55	80.9	84.9040427587784	101.583333333333	0.835806819610616	0.952840375691482
56	95.7	95.4477327731203	101.966666666667	0.93606799058307	1.00264298815226
57	113.2	110.067478228032	102.616666666667	1.07260820102029	1.02846001218887
58	105.9	112.665478960370	102.979166666667	1.09406089219053	0.939950737148597
59	108.8	106.105303925405	103.383333333333	1.02632891109532	1.02539643142146
60	102.3	98.5431401622996	103.904166666667	0.948404123950431	1.03812401179334
61	99	100.475517585907	104.120833333333	0.964989564232974	0.985314655536401
62	100.7	101.563130146286	104.508333333333	0.971818484774287	0.991501540519252
63	115.5	111.629296861839	104.775	1.06541920173552	1.03467461721050
64	100.7	106.602273858910	105.283333333333	1.01252753388232	0.944632758333822
65	109.9	105.449136233080	105.895833333333	0.995781731101289	1.04220863181925
66	114.6	114.134067295174	106.054166666667	1.07618654582335	1.00408232805391
67	85.4	88.8741251519288	106.333333333333	0.835806819610616	0.960909599436396
68	100.5	99.9876625274482	106.816666666667	0.93606799058307	1.00512400689846
69	114.8	114.925499538486	107.145833333333	1.07260820102029	0.998907992229832
70	116.5	117.620663084583	107.508333333333	1.09406089219053	0.990472226093662
71	112.9	110.544176465892	107.708333333333	1.02632891109532	1.02131115007071
72	102	102.230061194157	107.791666666667	0.948404123950431	0.99774957393677
73	106	104.407850060157	108.195833333333	0.964989564232974	1.01524933172099
74	105.3	105.584029127040	108.645833333333	0.971818484774287	0.99730992339099
75	118.8	115.815506475324	108.704166666667	1.06541920173552	1.02576937765507
76	106.1	110.217840927815	108.854166666667	1.01252753388232	0.962639071014718
77	109.3	108.656383225336	109.116666666667	0.995781731101289	1.00592341430443
78	117.2	117.358142822037	109.05	1.07618654582335	0.998652476784022
79	92.5	91.2387619457438	109.1625	0.835806819610616	1.01382348935210
80	104.2	102.659356583904	109.670833333333	0.93606799058307	1.01500733559378
81	112.5	117.566797233499	109.608333333333	1.07260820102029	0.956902821606718
82	122.4	120.018479873301	109.7	1.09406089219053	1.01984294526321
83	113.3	113.058682298076	110.158333333333	1.02632891109532	1.00213444643984
84	100	104.415342363093	110.095833333333	0.948404123950431	0.957713662923799
85	110.7	106.329787608921	110.1875	0.964989564232974	1.04110054660461
86	112.8	107.045806097888	110.15	0.971818484774287	1.05375450110442
87	109.8	117.351485824493	110.145833333333	1.06541920173552	0.935650701212366
88	117.3	111.424436239025	110.045833333333	1.01252753388232	1.05273137526468
89	109.1	108.726917764622	109.1875	0.995781731101289	1.00343136955455
90	115.9	116.627232792998	108.370833333333	1.07618654582335	0.99376446842146
91	96	NA	NA	0.835806819610616	NA
92	99.8	NA	NA	0.93606799058307	NA
93	116.8	NA	NA	1.07260820102029	NA
94	115.7	NA	NA	1.09406089219053	NA
95	99.4	NA	NA	1.02632891109532	NA
96	94.3	NA	NA	0.948404123950431	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 98.8 & NA & NA & 0.964989564232974 & NA \tabularnewline
2 & 100.5 & NA & NA & 0.971818484774287 & NA \tabularnewline
3 & 110.4 & NA & NA & 1.06541920173552 & NA \tabularnewline
4 & 96.4 & NA & NA & 1.01252753388232 & NA \tabularnewline
5 & 101.9 & NA & NA & 0.995781731101289 & NA \tabularnewline
6 & 106.2 & NA & NA & 1.07618654582335 & NA \tabularnewline
7 & 81 & 83.0234774146545 & 99.3333333333333 & 0.835806819610616 & 0.975627648013966 \tabularnewline
8 & 94.7 & 92.7097339006648 & 99.0416666666667 & 0.93606799058307 & 1.02146771450631 \tabularnewline
9 & 101 & 105.839614235677 & 98.675 & 1.07260820102029 & 0.954274075254087 \tabularnewline
10 & 109.4 & 108.061306039069 & 98.7708333333333 & 1.09406089219053 & 1.01238828226310 \tabularnewline
11 & 102.3 & 101.662155014455 & 99.0541666666667 & 1.02632891109532 & 1.00627416353170 \tabularnewline
12 & 90.7 & 93.888056587243 & 98.9958333333333 & 0.948404123950431 & 0.966044066698936 \tabularnewline
13 & 96.2 & 95.6706737139975 & 99.1416666666667 & 0.964989564232974 & 1.00553279563584 \tabularnewline
14 & 96.1 & 96.4448861264749 & 99.2416666666667 & 0.971818484774287 & 0.996424008152981 \tabularnewline
15 & 106 & 105.880472419141 & 99.3791666666667 & 1.06541920173552 & 1.00112889164667 \tabularnewline
16 & 103.1 & 101.008059234211 & 99.7583333333333 & 1.01252753388232 & 1.02071063221736 \tabularnewline
17 & 102 & 99.4454022126487 & 99.8666666666667 & 0.995781731101289 & 1.02568844542344 \tabularnewline
18 & 104.7 & 107.506551817146 & 99.8958333333333 & 1.07618654582335 & 0.97389413231373 \tabularnewline
19 & 86 & 83.5806819610616 & 100 & 0.835806819610616 & 1.02894589972436 \tabularnewline
20 & 92.1 & 93.6887050074829 & 100.0875 & 0.93606799058307 & 0.983042726363268 \tabularnewline
21 & 106.9 & 107.368080922131 & 100.1 & 1.07260820102029 & 0.995640408973404 \tabularnewline
22 & 112.6 & 109.469909437764 & 100.058333333333 & 1.09406089219053 & 1.02859315932855 \tabularnewline
23 & 101.7 & 102.508876366108 & 99.8791666666667 & 1.02632891109532 & 0.992109206589881 \tabularnewline
24 & 92 & 94.5637945255576 & 99.7083333333333 & 0.948404123950431 & 0.972888201679929 \tabularnewline
25 & 97.4 & 96.265750611941 & 99.7583333333333 & 0.964989564232974 & 1.01178248110931 \tabularnewline
26 & 97 & 96.9145983941158 & 99.725 & 0.971818484774287 & 1.00088120476481 \tabularnewline
27 & 105.4 & 106.280004619792 & 99.7541666666667 & 1.06541920173552 & 0.991719941837228 \tabularnewline
28 & 102.7 & 101.088217663976 & 99.8375 & 1.01252753388232 & 1.01594431451330 \tabularnewline
29 & 98.1 & 99.2503949569747 & 99.6708333333333 & 0.995781731101289 & 0.98840916494616 \tabularnewline
30 & 104.5 & 107.345123835272 & 99.7458333333333 & 1.07618654582335 & 0.97349554657333 \tabularnewline
31 & 87.4 & 83.458793466535 & 99.8541666666667 & 0.835806819610616 & 1.04722338257916 \tabularnewline
32 & 89.9 & 93.3805826272494 & 99.7583333333333 & 0.93606799058307 & 0.962726912498041 \tabularnewline
33 & 109.8 & 107.327858114593 & 100.0625 & 1.07260820102029 & 1.02303355278709 \tabularnewline
34 & 111.7 & 109.816362053624 & 100.375 & 1.09406089219053 & 1.01715261652408 \tabularnewline
35 & 98.6 & 102.996382598879 & 100.354166666667 & 1.02632891109532 & 0.957315174689188 \tabularnewline
36 & 96.9 & 95.4213099209628 & 100.6125 & 0.948404123950431 & 1.01549643449940 \tabularnewline
37 & 95.1 & 97.3674470311071 & 100.9 & 0.964989564232974 & 0.976712473211065 \tabularnewline
38 & 97 & 98.3358829280982 & 101.1875 & 0.971818484774287 & 0.986415102114098 \tabularnewline
39 & 112.7 & 108.304301103089 & 101.654166666667 & 1.06541920173552 & 1.04058655890985 \tabularnewline
40 & 102.9 & 103.049989760873 & 101.775 & 1.01252753388232 & 0.998544495140453 \tabularnewline
41 & 97.4 & 101.507500214138 & 101.9375 & 0.995781731101289 & 0.959535007704135 \tabularnewline
42 & 111.4 & 110.152177075628 & 102.354166666667 & 1.07618654582335 & 1.01132817305568 \tabularnewline
43 & 87.4 & 85.6945767089934 & 102.529166666667 & 0.835806819610616 & 1.01990118110739 \tabularnewline
44 & 96.8 & 95.9118664851177 & 102.4625 & 0.93606799058307 & 1.00925989189273 \tabularnewline
45 & 114.1 & 109.495420520821 & 102.083333333333 & 1.07260820102029 & 1.04205271286486 \tabularnewline
46 & 110.3 & 111.316137193335 & 101.745833333333 & 1.09406089219053 & 0.990871609283651 \tabularnewline
47 & 103.9 & 104.450348556264 & 101.770833333333 & 1.02632891109532 & 0.99473100316207 \tabularnewline
48 & 101.6 & 96.6463319143987 & 101.904166666667 & 0.948404123950431 & 1.05125562437267 \tabularnewline
49 & 94.6 & 98.1756257911522 & 101.7375 & 0.964989564232974 & 0.963579292086627 \tabularnewline
50 & 95.9 & 98.5626405745455 & 101.420833333333 & 0.971818484774287 & 0.972985295858306 \tabularnewline
51 & 104.7 & 107.966918355873 & 101.3375 & 1.06541920173552 & 0.969741487433172 \tabularnewline
52 & 102.8 & 102.383409134401 & 101.116666666667 & 1.01252753388232 & 1.00406892942051 \tabularnewline
53 & 98.1 & 100.710874829257 & 101.1375 & 0.995781731101289 & 0.97407554215289 \tabularnewline
54 & 113.9 & 109.093926972235 & 101.370833333333 & 1.07618654582335 & 1.04405445070273 \tabularnewline
55 & 80.9 & 84.9040427587784 & 101.583333333333 & 0.835806819610616 & 0.952840375691482 \tabularnewline
56 & 95.7 & 95.4477327731203 & 101.966666666667 & 0.93606799058307 & 1.00264298815226 \tabularnewline
57 & 113.2 & 110.067478228032 & 102.616666666667 & 1.07260820102029 & 1.02846001218887 \tabularnewline
58 & 105.9 & 112.665478960370 & 102.979166666667 & 1.09406089219053 & 0.939950737148597 \tabularnewline
59 & 108.8 & 106.105303925405 & 103.383333333333 & 1.02632891109532 & 1.02539643142146 \tabularnewline
60 & 102.3 & 98.5431401622996 & 103.904166666667 & 0.948404123950431 & 1.03812401179334 \tabularnewline
61 & 99 & 100.475517585907 & 104.120833333333 & 0.964989564232974 & 0.985314655536401 \tabularnewline
62 & 100.7 & 101.563130146286 & 104.508333333333 & 0.971818484774287 & 0.991501540519252 \tabularnewline
63 & 115.5 & 111.629296861839 & 104.775 & 1.06541920173552 & 1.03467461721050 \tabularnewline
64 & 100.7 & 106.602273858910 & 105.283333333333 & 1.01252753388232 & 0.944632758333822 \tabularnewline
65 & 109.9 & 105.449136233080 & 105.895833333333 & 0.995781731101289 & 1.04220863181925 \tabularnewline
66 & 114.6 & 114.134067295174 & 106.054166666667 & 1.07618654582335 & 1.00408232805391 \tabularnewline
67 & 85.4 & 88.8741251519288 & 106.333333333333 & 0.835806819610616 & 0.960909599436396 \tabularnewline
68 & 100.5 & 99.9876625274482 & 106.816666666667 & 0.93606799058307 & 1.00512400689846 \tabularnewline
69 & 114.8 & 114.925499538486 & 107.145833333333 & 1.07260820102029 & 0.998907992229832 \tabularnewline
70 & 116.5 & 117.620663084583 & 107.508333333333 & 1.09406089219053 & 0.990472226093662 \tabularnewline
71 & 112.9 & 110.544176465892 & 107.708333333333 & 1.02632891109532 & 1.02131115007071 \tabularnewline
72 & 102 & 102.230061194157 & 107.791666666667 & 0.948404123950431 & 0.99774957393677 \tabularnewline
73 & 106 & 104.407850060157 & 108.195833333333 & 0.964989564232974 & 1.01524933172099 \tabularnewline
74 & 105.3 & 105.584029127040 & 108.645833333333 & 0.971818484774287 & 0.99730992339099 \tabularnewline
75 & 118.8 & 115.815506475324 & 108.704166666667 & 1.06541920173552 & 1.02576937765507 \tabularnewline
76 & 106.1 & 110.217840927815 & 108.854166666667 & 1.01252753388232 & 0.962639071014718 \tabularnewline
77 & 109.3 & 108.656383225336 & 109.116666666667 & 0.995781731101289 & 1.00592341430443 \tabularnewline
78 & 117.2 & 117.358142822037 & 109.05 & 1.07618654582335 & 0.998652476784022 \tabularnewline
79 & 92.5 & 91.2387619457438 & 109.1625 & 0.835806819610616 & 1.01382348935210 \tabularnewline
80 & 104.2 & 102.659356583904 & 109.670833333333 & 0.93606799058307 & 1.01500733559378 \tabularnewline
81 & 112.5 & 117.566797233499 & 109.608333333333 & 1.07260820102029 & 0.956902821606718 \tabularnewline
82 & 122.4 & 120.018479873301 & 109.7 & 1.09406089219053 & 1.01984294526321 \tabularnewline
83 & 113.3 & 113.058682298076 & 110.158333333333 & 1.02632891109532 & 1.00213444643984 \tabularnewline
84 & 100 & 104.415342363093 & 110.095833333333 & 0.948404123950431 & 0.957713662923799 \tabularnewline
85 & 110.7 & 106.329787608921 & 110.1875 & 0.964989564232974 & 1.04110054660461 \tabularnewline
86 & 112.8 & 107.045806097888 & 110.15 & 0.971818484774287 & 1.05375450110442 \tabularnewline
87 & 109.8 & 117.351485824493 & 110.145833333333 & 1.06541920173552 & 0.935650701212366 \tabularnewline
88 & 117.3 & 111.424436239025 & 110.045833333333 & 1.01252753388232 & 1.05273137526468 \tabularnewline
89 & 109.1 & 108.726917764622 & 109.1875 & 0.995781731101289 & 1.00343136955455 \tabularnewline
90 & 115.9 & 116.627232792998 & 108.370833333333 & 1.07618654582335 & 0.99376446842146 \tabularnewline
91 & 96 & NA & NA & 0.835806819610616 & NA \tabularnewline
92 & 99.8 & NA & NA & 0.93606799058307 & NA \tabularnewline
93 & 116.8 & NA & NA & 1.07260820102029 & NA \tabularnewline
94 & 115.7 & NA & NA & 1.09406089219053 & NA \tabularnewline
95 & 99.4 & NA & NA & 1.02632891109532 & NA \tabularnewline
96 & 94.3 & NA & NA & 0.948404123950431 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63554&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]98.8[/C][C]NA[/C][C]NA[/C][C]0.964989564232974[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]100.5[/C][C]NA[/C][C]NA[/C][C]0.971818484774287[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]110.4[/C][C]NA[/C][C]NA[/C][C]1.06541920173552[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]96.4[/C][C]NA[/C][C]NA[/C][C]1.01252753388232[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]101.9[/C][C]NA[/C][C]NA[/C][C]0.995781731101289[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]106.2[/C][C]NA[/C][C]NA[/C][C]1.07618654582335[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]81[/C][C]83.0234774146545[/C][C]99.3333333333333[/C][C]0.835806819610616[/C][C]0.975627648013966[/C][/ROW]
[ROW][C]8[/C][C]94.7[/C][C]92.7097339006648[/C][C]99.0416666666667[/C][C]0.93606799058307[/C][C]1.02146771450631[/C][/ROW]
[ROW][C]9[/C][C]101[/C][C]105.839614235677[/C][C]98.675[/C][C]1.07260820102029[/C][C]0.954274075254087[/C][/ROW]
[ROW][C]10[/C][C]109.4[/C][C]108.061306039069[/C][C]98.7708333333333[/C][C]1.09406089219053[/C][C]1.01238828226310[/C][/ROW]
[ROW][C]11[/C][C]102.3[/C][C]101.662155014455[/C][C]99.0541666666667[/C][C]1.02632891109532[/C][C]1.00627416353170[/C][/ROW]
[ROW][C]12[/C][C]90.7[/C][C]93.888056587243[/C][C]98.9958333333333[/C][C]0.948404123950431[/C][C]0.966044066698936[/C][/ROW]
[ROW][C]13[/C][C]96.2[/C][C]95.6706737139975[/C][C]99.1416666666667[/C][C]0.964989564232974[/C][C]1.00553279563584[/C][/ROW]
[ROW][C]14[/C][C]96.1[/C][C]96.4448861264749[/C][C]99.2416666666667[/C][C]0.971818484774287[/C][C]0.996424008152981[/C][/ROW]
[ROW][C]15[/C][C]106[/C][C]105.880472419141[/C][C]99.3791666666667[/C][C]1.06541920173552[/C][C]1.00112889164667[/C][/ROW]
[ROW][C]16[/C][C]103.1[/C][C]101.008059234211[/C][C]99.7583333333333[/C][C]1.01252753388232[/C][C]1.02071063221736[/C][/ROW]
[ROW][C]17[/C][C]102[/C][C]99.4454022126487[/C][C]99.8666666666667[/C][C]0.995781731101289[/C][C]1.02568844542344[/C][/ROW]
[ROW][C]18[/C][C]104.7[/C][C]107.506551817146[/C][C]99.8958333333333[/C][C]1.07618654582335[/C][C]0.97389413231373[/C][/ROW]
[ROW][C]19[/C][C]86[/C][C]83.5806819610616[/C][C]100[/C][C]0.835806819610616[/C][C]1.02894589972436[/C][/ROW]
[ROW][C]20[/C][C]92.1[/C][C]93.6887050074829[/C][C]100.0875[/C][C]0.93606799058307[/C][C]0.983042726363268[/C][/ROW]
[ROW][C]21[/C][C]106.9[/C][C]107.368080922131[/C][C]100.1[/C][C]1.07260820102029[/C][C]0.995640408973404[/C][/ROW]
[ROW][C]22[/C][C]112.6[/C][C]109.469909437764[/C][C]100.058333333333[/C][C]1.09406089219053[/C][C]1.02859315932855[/C][/ROW]
[ROW][C]23[/C][C]101.7[/C][C]102.508876366108[/C][C]99.8791666666667[/C][C]1.02632891109532[/C][C]0.992109206589881[/C][/ROW]
[ROW][C]24[/C][C]92[/C][C]94.5637945255576[/C][C]99.7083333333333[/C][C]0.948404123950431[/C][C]0.972888201679929[/C][/ROW]
[ROW][C]25[/C][C]97.4[/C][C]96.265750611941[/C][C]99.7583333333333[/C][C]0.964989564232974[/C][C]1.01178248110931[/C][/ROW]
[ROW][C]26[/C][C]97[/C][C]96.9145983941158[/C][C]99.725[/C][C]0.971818484774287[/C][C]1.00088120476481[/C][/ROW]
[ROW][C]27[/C][C]105.4[/C][C]106.280004619792[/C][C]99.7541666666667[/C][C]1.06541920173552[/C][C]0.991719941837228[/C][/ROW]
[ROW][C]28[/C][C]102.7[/C][C]101.088217663976[/C][C]99.8375[/C][C]1.01252753388232[/C][C]1.01594431451330[/C][/ROW]
[ROW][C]29[/C][C]98.1[/C][C]99.2503949569747[/C][C]99.6708333333333[/C][C]0.995781731101289[/C][C]0.98840916494616[/C][/ROW]
[ROW][C]30[/C][C]104.5[/C][C]107.345123835272[/C][C]99.7458333333333[/C][C]1.07618654582335[/C][C]0.97349554657333[/C][/ROW]
[ROW][C]31[/C][C]87.4[/C][C]83.458793466535[/C][C]99.8541666666667[/C][C]0.835806819610616[/C][C]1.04722338257916[/C][/ROW]
[ROW][C]32[/C][C]89.9[/C][C]93.3805826272494[/C][C]99.7583333333333[/C][C]0.93606799058307[/C][C]0.962726912498041[/C][/ROW]
[ROW][C]33[/C][C]109.8[/C][C]107.327858114593[/C][C]100.0625[/C][C]1.07260820102029[/C][C]1.02303355278709[/C][/ROW]
[ROW][C]34[/C][C]111.7[/C][C]109.816362053624[/C][C]100.375[/C][C]1.09406089219053[/C][C]1.01715261652408[/C][/ROW]
[ROW][C]35[/C][C]98.6[/C][C]102.996382598879[/C][C]100.354166666667[/C][C]1.02632891109532[/C][C]0.957315174689188[/C][/ROW]
[ROW][C]36[/C][C]96.9[/C][C]95.4213099209628[/C][C]100.6125[/C][C]0.948404123950431[/C][C]1.01549643449940[/C][/ROW]
[ROW][C]37[/C][C]95.1[/C][C]97.3674470311071[/C][C]100.9[/C][C]0.964989564232974[/C][C]0.976712473211065[/C][/ROW]
[ROW][C]38[/C][C]97[/C][C]98.3358829280982[/C][C]101.1875[/C][C]0.971818484774287[/C][C]0.986415102114098[/C][/ROW]
[ROW][C]39[/C][C]112.7[/C][C]108.304301103089[/C][C]101.654166666667[/C][C]1.06541920173552[/C][C]1.04058655890985[/C][/ROW]
[ROW][C]40[/C][C]102.9[/C][C]103.049989760873[/C][C]101.775[/C][C]1.01252753388232[/C][C]0.998544495140453[/C][/ROW]
[ROW][C]41[/C][C]97.4[/C][C]101.507500214138[/C][C]101.9375[/C][C]0.995781731101289[/C][C]0.959535007704135[/C][/ROW]
[ROW][C]42[/C][C]111.4[/C][C]110.152177075628[/C][C]102.354166666667[/C][C]1.07618654582335[/C][C]1.01132817305568[/C][/ROW]
[ROW][C]43[/C][C]87.4[/C][C]85.6945767089934[/C][C]102.529166666667[/C][C]0.835806819610616[/C][C]1.01990118110739[/C][/ROW]
[ROW][C]44[/C][C]96.8[/C][C]95.9118664851177[/C][C]102.4625[/C][C]0.93606799058307[/C][C]1.00925989189273[/C][/ROW]
[ROW][C]45[/C][C]114.1[/C][C]109.495420520821[/C][C]102.083333333333[/C][C]1.07260820102029[/C][C]1.04205271286486[/C][/ROW]
[ROW][C]46[/C][C]110.3[/C][C]111.316137193335[/C][C]101.745833333333[/C][C]1.09406089219053[/C][C]0.990871609283651[/C][/ROW]
[ROW][C]47[/C][C]103.9[/C][C]104.450348556264[/C][C]101.770833333333[/C][C]1.02632891109532[/C][C]0.99473100316207[/C][/ROW]
[ROW][C]48[/C][C]101.6[/C][C]96.6463319143987[/C][C]101.904166666667[/C][C]0.948404123950431[/C][C]1.05125562437267[/C][/ROW]
[ROW][C]49[/C][C]94.6[/C][C]98.1756257911522[/C][C]101.7375[/C][C]0.964989564232974[/C][C]0.963579292086627[/C][/ROW]
[ROW][C]50[/C][C]95.9[/C][C]98.5626405745455[/C][C]101.420833333333[/C][C]0.971818484774287[/C][C]0.972985295858306[/C][/ROW]
[ROW][C]51[/C][C]104.7[/C][C]107.966918355873[/C][C]101.3375[/C][C]1.06541920173552[/C][C]0.969741487433172[/C][/ROW]
[ROW][C]52[/C][C]102.8[/C][C]102.383409134401[/C][C]101.116666666667[/C][C]1.01252753388232[/C][C]1.00406892942051[/C][/ROW]
[ROW][C]53[/C][C]98.1[/C][C]100.710874829257[/C][C]101.1375[/C][C]0.995781731101289[/C][C]0.97407554215289[/C][/ROW]
[ROW][C]54[/C][C]113.9[/C][C]109.093926972235[/C][C]101.370833333333[/C][C]1.07618654582335[/C][C]1.04405445070273[/C][/ROW]
[ROW][C]55[/C][C]80.9[/C][C]84.9040427587784[/C][C]101.583333333333[/C][C]0.835806819610616[/C][C]0.952840375691482[/C][/ROW]
[ROW][C]56[/C][C]95.7[/C][C]95.4477327731203[/C][C]101.966666666667[/C][C]0.93606799058307[/C][C]1.00264298815226[/C][/ROW]
[ROW][C]57[/C][C]113.2[/C][C]110.067478228032[/C][C]102.616666666667[/C][C]1.07260820102029[/C][C]1.02846001218887[/C][/ROW]
[ROW][C]58[/C][C]105.9[/C][C]112.665478960370[/C][C]102.979166666667[/C][C]1.09406089219053[/C][C]0.939950737148597[/C][/ROW]
[ROW][C]59[/C][C]108.8[/C][C]106.105303925405[/C][C]103.383333333333[/C][C]1.02632891109532[/C][C]1.02539643142146[/C][/ROW]
[ROW][C]60[/C][C]102.3[/C][C]98.5431401622996[/C][C]103.904166666667[/C][C]0.948404123950431[/C][C]1.03812401179334[/C][/ROW]
[ROW][C]61[/C][C]99[/C][C]100.475517585907[/C][C]104.120833333333[/C][C]0.964989564232974[/C][C]0.985314655536401[/C][/ROW]
[ROW][C]62[/C][C]100.7[/C][C]101.563130146286[/C][C]104.508333333333[/C][C]0.971818484774287[/C][C]0.991501540519252[/C][/ROW]
[ROW][C]63[/C][C]115.5[/C][C]111.629296861839[/C][C]104.775[/C][C]1.06541920173552[/C][C]1.03467461721050[/C][/ROW]
[ROW][C]64[/C][C]100.7[/C][C]106.602273858910[/C][C]105.283333333333[/C][C]1.01252753388232[/C][C]0.944632758333822[/C][/ROW]
[ROW][C]65[/C][C]109.9[/C][C]105.449136233080[/C][C]105.895833333333[/C][C]0.995781731101289[/C][C]1.04220863181925[/C][/ROW]
[ROW][C]66[/C][C]114.6[/C][C]114.134067295174[/C][C]106.054166666667[/C][C]1.07618654582335[/C][C]1.00408232805391[/C][/ROW]
[ROW][C]67[/C][C]85.4[/C][C]88.8741251519288[/C][C]106.333333333333[/C][C]0.835806819610616[/C][C]0.960909599436396[/C][/ROW]
[ROW][C]68[/C][C]100.5[/C][C]99.9876625274482[/C][C]106.816666666667[/C][C]0.93606799058307[/C][C]1.00512400689846[/C][/ROW]
[ROW][C]69[/C][C]114.8[/C][C]114.925499538486[/C][C]107.145833333333[/C][C]1.07260820102029[/C][C]0.998907992229832[/C][/ROW]
[ROW][C]70[/C][C]116.5[/C][C]117.620663084583[/C][C]107.508333333333[/C][C]1.09406089219053[/C][C]0.990472226093662[/C][/ROW]
[ROW][C]71[/C][C]112.9[/C][C]110.544176465892[/C][C]107.708333333333[/C][C]1.02632891109532[/C][C]1.02131115007071[/C][/ROW]
[ROW][C]72[/C][C]102[/C][C]102.230061194157[/C][C]107.791666666667[/C][C]0.948404123950431[/C][C]0.99774957393677[/C][/ROW]
[ROW][C]73[/C][C]106[/C][C]104.407850060157[/C][C]108.195833333333[/C][C]0.964989564232974[/C][C]1.01524933172099[/C][/ROW]
[ROW][C]74[/C][C]105.3[/C][C]105.584029127040[/C][C]108.645833333333[/C][C]0.971818484774287[/C][C]0.99730992339099[/C][/ROW]
[ROW][C]75[/C][C]118.8[/C][C]115.815506475324[/C][C]108.704166666667[/C][C]1.06541920173552[/C][C]1.02576937765507[/C][/ROW]
[ROW][C]76[/C][C]106.1[/C][C]110.217840927815[/C][C]108.854166666667[/C][C]1.01252753388232[/C][C]0.962639071014718[/C][/ROW]
[ROW][C]77[/C][C]109.3[/C][C]108.656383225336[/C][C]109.116666666667[/C][C]0.995781731101289[/C][C]1.00592341430443[/C][/ROW]
[ROW][C]78[/C][C]117.2[/C][C]117.358142822037[/C][C]109.05[/C][C]1.07618654582335[/C][C]0.998652476784022[/C][/ROW]
[ROW][C]79[/C][C]92.5[/C][C]91.2387619457438[/C][C]109.1625[/C][C]0.835806819610616[/C][C]1.01382348935210[/C][/ROW]
[ROW][C]80[/C][C]104.2[/C][C]102.659356583904[/C][C]109.670833333333[/C][C]0.93606799058307[/C][C]1.01500733559378[/C][/ROW]
[ROW][C]81[/C][C]112.5[/C][C]117.566797233499[/C][C]109.608333333333[/C][C]1.07260820102029[/C][C]0.956902821606718[/C][/ROW]
[ROW][C]82[/C][C]122.4[/C][C]120.018479873301[/C][C]109.7[/C][C]1.09406089219053[/C][C]1.01984294526321[/C][/ROW]
[ROW][C]83[/C][C]113.3[/C][C]113.058682298076[/C][C]110.158333333333[/C][C]1.02632891109532[/C][C]1.00213444643984[/C][/ROW]
[ROW][C]84[/C][C]100[/C][C]104.415342363093[/C][C]110.095833333333[/C][C]0.948404123950431[/C][C]0.957713662923799[/C][/ROW]
[ROW][C]85[/C][C]110.7[/C][C]106.329787608921[/C][C]110.1875[/C][C]0.964989564232974[/C][C]1.04110054660461[/C][/ROW]
[ROW][C]86[/C][C]112.8[/C][C]107.045806097888[/C][C]110.15[/C][C]0.971818484774287[/C][C]1.05375450110442[/C][/ROW]
[ROW][C]87[/C][C]109.8[/C][C]117.351485824493[/C][C]110.145833333333[/C][C]1.06541920173552[/C][C]0.935650701212366[/C][/ROW]
[ROW][C]88[/C][C]117.3[/C][C]111.424436239025[/C][C]110.045833333333[/C][C]1.01252753388232[/C][C]1.05273137526468[/C][/ROW]
[ROW][C]89[/C][C]109.1[/C][C]108.726917764622[/C][C]109.1875[/C][C]0.995781731101289[/C][C]1.00343136955455[/C][/ROW]
[ROW][C]90[/C][C]115.9[/C][C]116.627232792998[/C][C]108.370833333333[/C][C]1.07618654582335[/C][C]0.99376446842146[/C][/ROW]
[ROW][C]91[/C][C]96[/C][C]NA[/C][C]NA[/C][C]0.835806819610616[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]99.8[/C][C]NA[/C][C]NA[/C][C]0.93606799058307[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]116.8[/C][C]NA[/C][C]NA[/C][C]1.07260820102029[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]115.7[/C][C]NA[/C][C]NA[/C][C]1.09406089219053[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]99.4[/C][C]NA[/C][C]NA[/C][C]1.02632891109532[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]94.3[/C][C]NA[/C][C]NA[/C][C]0.948404123950431[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63554&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63554&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
t	Observations	Fit	Trend	Seasonal	Random
1	98.8	NA	NA	0.964989564232974	NA
2	100.5	NA	NA	0.971818484774287	NA
3	110.4	NA	NA	1.06541920173552	NA
4	96.4	NA	NA	1.01252753388232	NA
5	101.9	NA	NA	0.995781731101289	NA
6	106.2	NA	NA	1.07618654582335	NA
7	81	83.0234774146545	99.3333333333333	0.835806819610616	0.975627648013966
8	94.7	92.7097339006648	99.0416666666667	0.93606799058307	1.02146771450631
9	101	105.839614235677	98.675	1.07260820102029	0.954274075254087
10	109.4	108.061306039069	98.7708333333333	1.09406089219053	1.01238828226310
11	102.3	101.662155014455	99.0541666666667	1.02632891109532	1.00627416353170
12	90.7	93.888056587243	98.9958333333333	0.948404123950431	0.966044066698936
13	96.2	95.6706737139975	99.1416666666667	0.964989564232974	1.00553279563584
14	96.1	96.4448861264749	99.2416666666667	0.971818484774287	0.996424008152981
15	106	105.880472419141	99.3791666666667	1.06541920173552	1.00112889164667
16	103.1	101.008059234211	99.7583333333333	1.01252753388232	1.02071063221736
17	102	99.4454022126487	99.8666666666667	0.995781731101289	1.02568844542344
18	104.7	107.506551817146	99.8958333333333	1.07618654582335	0.97389413231373
19	86	83.5806819610616	100	0.835806819610616	1.02894589972436
20	92.1	93.6887050074829	100.0875	0.93606799058307	0.983042726363268
21	106.9	107.368080922131	100.1	1.07260820102029	0.995640408973404
22	112.6	109.469909437764	100.058333333333	1.09406089219053	1.02859315932855
23	101.7	102.508876366108	99.8791666666667	1.02632891109532	0.992109206589881
24	92	94.5637945255576	99.7083333333333	0.948404123950431	0.972888201679929
25	97.4	96.265750611941	99.7583333333333	0.964989564232974	1.01178248110931
26	97	96.9145983941158	99.725	0.971818484774287	1.00088120476481
27	105.4	106.280004619792	99.7541666666667	1.06541920173552	0.991719941837228
28	102.7	101.088217663976	99.8375	1.01252753388232	1.01594431451330
29	98.1	99.2503949569747	99.6708333333333	0.995781731101289	0.98840916494616
30	104.5	107.345123835272	99.7458333333333	1.07618654582335	0.97349554657333
31	87.4	83.458793466535	99.8541666666667	0.835806819610616	1.04722338257916
32	89.9	93.3805826272494	99.7583333333333	0.93606799058307	0.962726912498041
33	109.8	107.327858114593	100.0625	1.07260820102029	1.02303355278709
34	111.7	109.816362053624	100.375	1.09406089219053	1.01715261652408
35	98.6	102.996382598879	100.354166666667	1.02632891109532	0.957315174689188
36	96.9	95.4213099209628	100.6125	0.948404123950431	1.01549643449940
37	95.1	97.3674470311071	100.9	0.964989564232974	0.976712473211065
38	97	98.3358829280982	101.1875	0.971818484774287	0.986415102114098
39	112.7	108.304301103089	101.654166666667	1.06541920173552	1.04058655890985
40	102.9	103.049989760873	101.775	1.01252753388232	0.998544495140453
41	97.4	101.507500214138	101.9375	0.995781731101289	0.959535007704135
42	111.4	110.152177075628	102.354166666667	1.07618654582335	1.01132817305568
43	87.4	85.6945767089934	102.529166666667	0.835806819610616	1.01990118110739
44	96.8	95.9118664851177	102.4625	0.93606799058307	1.00925989189273
45	114.1	109.495420520821	102.083333333333	1.07260820102029	1.04205271286486
46	110.3	111.316137193335	101.745833333333	1.09406089219053	0.990871609283651
47	103.9	104.450348556264	101.770833333333	1.02632891109532	0.99473100316207
48	101.6	96.6463319143987	101.904166666667	0.948404123950431	1.05125562437267
49	94.6	98.1756257911522	101.7375	0.964989564232974	0.963579292086627
50	95.9	98.5626405745455	101.420833333333	0.971818484774287	0.972985295858306
51	104.7	107.966918355873	101.3375	1.06541920173552	0.969741487433172
52	102.8	102.383409134401	101.116666666667	1.01252753388232	1.00406892942051
53	98.1	100.710874829257	101.1375	0.995781731101289	0.97407554215289
54	113.9	109.093926972235	101.370833333333	1.07618654582335	1.04405445070273
55	80.9	84.9040427587784	101.583333333333	0.835806819610616	0.952840375691482
56	95.7	95.4477327731203	101.966666666667	0.93606799058307	1.00264298815226
57	113.2	110.067478228032	102.616666666667	1.07260820102029	1.02846001218887
58	105.9	112.665478960370	102.979166666667	1.09406089219053	0.939950737148597
59	108.8	106.105303925405	103.383333333333	1.02632891109532	1.02539643142146
60	102.3	98.5431401622996	103.904166666667	0.948404123950431	1.03812401179334
61	99	100.475517585907	104.120833333333	0.964989564232974	0.985314655536401
62	100.7	101.563130146286	104.508333333333	0.971818484774287	0.991501540519252
63	115.5	111.629296861839	104.775	1.06541920173552	1.03467461721050
64	100.7	106.602273858910	105.283333333333	1.01252753388232	0.944632758333822
65	109.9	105.449136233080	105.895833333333	0.995781731101289	1.04220863181925
66	114.6	114.134067295174	106.054166666667	1.07618654582335	1.00408232805391
67	85.4	88.8741251519288	106.333333333333	0.835806819610616	0.960909599436396
68	100.5	99.9876625274482	106.816666666667	0.93606799058307	1.00512400689846
69	114.8	114.925499538486	107.145833333333	1.07260820102029	0.998907992229832
70	116.5	117.620663084583	107.508333333333	1.09406089219053	0.990472226093662
71	112.9	110.544176465892	107.708333333333	1.02632891109532	1.02131115007071
72	102	102.230061194157	107.791666666667	0.948404123950431	0.99774957393677
73	106	104.407850060157	108.195833333333	0.964989564232974	1.01524933172099
74	105.3	105.584029127040	108.645833333333	0.971818484774287	0.99730992339099
75	118.8	115.815506475324	108.704166666667	1.06541920173552	1.02576937765507
76	106.1	110.217840927815	108.854166666667	1.01252753388232	0.962639071014718
77	109.3	108.656383225336	109.116666666667	0.995781731101289	1.00592341430443
78	117.2	117.358142822037	109.05	1.07618654582335	0.998652476784022
79	92.5	91.2387619457438	109.1625	0.835806819610616	1.01382348935210
80	104.2	102.659356583904	109.670833333333	0.93606799058307	1.01500733559378
81	112.5	117.566797233499	109.608333333333	1.07260820102029	0.956902821606718
82	122.4	120.018479873301	109.7	1.09406089219053	1.01984294526321
83	113.3	113.058682298076	110.158333333333	1.02632891109532	1.00213444643984
84	100	104.415342363093	110.095833333333	0.948404123950431	0.957713662923799
85	110.7	106.329787608921	110.1875	0.964989564232974	1.04110054660461
86	112.8	107.045806097888	110.15	0.971818484774287	1.05375450110442
87	109.8	117.351485824493	110.145833333333	1.06541920173552	0.935650701212366
88	117.3	111.424436239025	110.045833333333	1.01252753388232	1.05273137526468
89	109.1	108.726917764622	109.1875	0.995781731101289	1.00343136955455
90	115.9	116.627232792998	108.370833333333	1.07618654582335	0.99376446842146
91	96	NA	NA	0.835806819610616	NA
92	99.8	NA	NA	0.93606799058307	NA
93	116.8	NA	NA	1.07260820102029	NA
94	115.7	NA	NA	1.09406089219053	NA
95	99.4	NA	NA	1.02632891109532	NA
96	94.3	NA	NA	0.948404123950431	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code