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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Thu, 13 Dec 2012 07:33:29 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/13/t1355402071kvki2m9aaqcjfx8.htm/, Retrieved Sun, 28 Apr 2024 23:15:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=199168, Retrieved Sun, 28 Apr 2024 23:15:21 +0000

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-       [Classical Decomposition] [] [2012-12-13 12:33:29] [5af040df2efe5a417a92383fa6aaebd4] [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	6 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 6 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199168&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199168&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199168&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	6 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	99.42	NA	NA	0.973268293614967	NA
2	99.42	NA	NA	0.972917625529058	NA
3	99.42	NA	NA	0.970971583304606	NA
4	99.42	NA	NA	0.973082563817366	NA
5	99.42	NA	NA	0.974919798892322	NA
6	109.26	NA	NA	1.0332470318984	NA
7	110	109.979482557688	103.010416666667	1.06765399186349	1.00018655699986
8	110	109.839389049698	103.062916666667	1.06575083067897	1.00146223455622
9	109.26	106.748079004024	103.115416666667	1.03522909041914	1.02353129929281
10	100.07	101.308005151197	103.167916666667	0.981971996958329	0.987779789471232
11	100.07	100.860302455465	103.220416666667	0.977135199726783	0.992164385429896
12	100.05	100.52708932303	103.22625	0.97385199329657	0.995254121787044
13	100.05	100.500495055593	103.260833333333	0.973268293614967	0.995517484213947
14	100.05	100.582656421258	103.3825	0.972917625529058	0.994704291572624
15	100.05	100.41626285939	103.418333333333	0.970971583304606	0.996352554367582
16	100.05	100.728641593555	103.515	0.973082563817366	0.993262675016576
17	100.05	101.156865899902	103.759166666667	0.974919798892322	0.989057926122416
18	108.77	107.445636768728	103.988333333333	1.0332470318984	1.01232589122369
19	111.32	111.263781338734	104.213333333333	1.06765399186349	1.00050527368916
20	111.6	111.305240504727	104.438333333333	1.06575083067897	1.00264820860128
21	108.52	108.350527366902	104.663333333333	1.03522909041914	1.00156411451995
22	103.13	102.997406140964	104.888333333333	0.981971996958329	1.00128735143926
23	102.87	102.709937960615	105.113333333333	0.977135199726783	1.00155838901827
24	102.75	102.736110261158	105.494583333333	0.97385199329657	1.00013519821616
25	102.75	103.106826440203	105.93875	0.973268293614967	0.996539254940511
26	102.75	103.394388359037	106.2725	0.972917625529058	0.993767666028458
27	102.75	103.481701062181	106.575416666667	0.970971583304606	0.992929174388603
28	102.75	104.041987723353	106.92	0.973082563817366	0.987582054595226
29	102.75	104.618643619135	107.31	0.974919798892322	0.982138521830412
30	115.22	111.25616571845	107.67625	1.0332470318984	1.03562799648858
31	115.53	115.337326173523	108.02875	1.06765399186349	1.00167052447694
32	115.4	115.507407217525	108.38125	1.06575083067897	0.999070127015118
33	111.99	112.564341110362	108.73375	1.03522909041914	0.994897663818787
34	107.93	107.119642753196	109.08625	0.981971996958329	1.00756497338842
35	107.43	106.936454839099	109.43875	0.977135199726783	1.00461531253905
36	106.98	106.687514723959	109.552083333333	0.97385199329657	1.00274151363258
37	106.98	106.693725630629	109.624166666667	0.973268293614967	1.00268314155944
38	106.98	106.913917869388	109.89	0.972917625529058	1.00061808726056
39	106.98	106.995809050758	110.194583333333	0.970971583304606	0.999852246074886
40	106.98	107.502512590928	110.47625	0.973082563817366	0.995139531362243
41	106.98	107.917528488637	110.69375	0.974919798892322	0.991312546703331
42	113.71	114.61292701333	110.925	1.0332470318984	0.992121944383942
43	118.77	118.689314852144	111.168333333333	1.06765399186349	1.00067980127745
44	118.54	118.77348945071	111.445833333333	1.06575083067897	0.998034161901026
45	116.16	115.667440308893	111.73125	1.03522909041914	1.00425841265088
46	110.52	109.970634784365	111.989583333333	0.981971996958329	1.00499556283105
47	110.06	109.777475432305	112.34625	0.977135199726783	1.00257361144973
48	109.9	109.604201443882	112.547083333333	0.97385199329657	1.0026987884791
49	109.9	109.555134413857	112.564166666667	0.973268293614967	1.00314787242047
50	110.72	109.611331986168	112.6625	0.972917625529058	1.0101145382849
51	110.09	109.346369425341	112.615416666667	0.970971583304606	1.00680068829506
52	110.07	109.484762863638	112.513333333333	0.973082563817366	1.00534537520158
53	112.45	109.69310117237	112.515	0.974919798892322	1.02513283696208
54	113.06	116.256650833242	112.515833333333	1.0332470318984	0.972503501431267
55	119.83	120.146662551038	112.533333333333	1.06765399186349	0.997364366647278
56	119.84	119.936934107535	112.5375	1.06575083067897	0.999191791017036
57	113.73	116.508132599404	112.543333333333	1.03522909041914	0.976155032808253
58	110.5	110.635102502306	112.66625	0.981971996958329	0.998778845960725
59	110.12	110.175658026194	112.75375	0.977135199726783	0.999494824653731
60	109.86	109.906501333468	112.8575	0.97385199329657	0.999576900975798
61	110.36	110.082726934688	113.10625	0.973268293614967	1.00251876995631
62	110.36	110.227513149003	113.295833333333	0.972917625529058	1.00120193994414
63	110.59	110.097658687923	113.389166666667	0.970971583304606	1.00447185996455
64	112.52	110.413651261015	113.467916666667	0.973082563817366	1.01907688691506
65	112.1	110.687113150657	113.534583333333	0.974919798892322	1.01276469147244
66	115.9	117.32821410924	113.552916666667	1.0332470318984	0.987827189563202
67	122.96	NA	NA	1.06765399186349	NA
68	121.26	NA	NA	1.06575083067897	NA
69	114.55	NA	NA	1.03522909041914	NA
70	111.57	NA	NA	0.981971996958329	NA
71	110.65	NA	NA	0.977135199726783	NA
72	109.77	NA	NA	0.97385199329657	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 99.42 & NA & NA & 0.973268293614967 & NA \tabularnewline
2 & 99.42 & NA & NA & 0.972917625529058 & NA \tabularnewline
3 & 99.42 & NA & NA & 0.970971583304606 & NA \tabularnewline
4 & 99.42 & NA & NA & 0.973082563817366 & NA \tabularnewline
5 & 99.42 & NA & NA & 0.974919798892322 & NA \tabularnewline
6 & 109.26 & NA & NA & 1.0332470318984 & NA \tabularnewline
7 & 110 & 109.979482557688 & 103.010416666667 & 1.06765399186349 & 1.00018655699986 \tabularnewline
8 & 110 & 109.839389049698 & 103.062916666667 & 1.06575083067897 & 1.00146223455622 \tabularnewline
9 & 109.26 & 106.748079004024 & 103.115416666667 & 1.03522909041914 & 1.02353129929281 \tabularnewline
10 & 100.07 & 101.308005151197 & 103.167916666667 & 0.981971996958329 & 0.987779789471232 \tabularnewline
11 & 100.07 & 100.860302455465 & 103.220416666667 & 0.977135199726783 & 0.992164385429896 \tabularnewline
12 & 100.05 & 100.52708932303 & 103.22625 & 0.97385199329657 & 0.995254121787044 \tabularnewline
13 & 100.05 & 100.500495055593 & 103.260833333333 & 0.973268293614967 & 0.995517484213947 \tabularnewline
14 & 100.05 & 100.582656421258 & 103.3825 & 0.972917625529058 & 0.994704291572624 \tabularnewline
15 & 100.05 & 100.41626285939 & 103.418333333333 & 0.970971583304606 & 0.996352554367582 \tabularnewline
16 & 100.05 & 100.728641593555 & 103.515 & 0.973082563817366 & 0.993262675016576 \tabularnewline
17 & 100.05 & 101.156865899902 & 103.759166666667 & 0.974919798892322 & 0.989057926122416 \tabularnewline
18 & 108.77 & 107.445636768728 & 103.988333333333 & 1.0332470318984 & 1.01232589122369 \tabularnewline
19 & 111.32 & 111.263781338734 & 104.213333333333 & 1.06765399186349 & 1.00050527368916 \tabularnewline
20 & 111.6 & 111.305240504727 & 104.438333333333 & 1.06575083067897 & 1.00264820860128 \tabularnewline
21 & 108.52 & 108.350527366902 & 104.663333333333 & 1.03522909041914 & 1.00156411451995 \tabularnewline
22 & 103.13 & 102.997406140964 & 104.888333333333 & 0.981971996958329 & 1.00128735143926 \tabularnewline
23 & 102.87 & 102.709937960615 & 105.113333333333 & 0.977135199726783 & 1.00155838901827 \tabularnewline
24 & 102.75 & 102.736110261158 & 105.494583333333 & 0.97385199329657 & 1.00013519821616 \tabularnewline
25 & 102.75 & 103.106826440203 & 105.93875 & 0.973268293614967 & 0.996539254940511 \tabularnewline
26 & 102.75 & 103.394388359037 & 106.2725 & 0.972917625529058 & 0.993767666028458 \tabularnewline
27 & 102.75 & 103.481701062181 & 106.575416666667 & 0.970971583304606 & 0.992929174388603 \tabularnewline
28 & 102.75 & 104.041987723353 & 106.92 & 0.973082563817366 & 0.987582054595226 \tabularnewline
29 & 102.75 & 104.618643619135 & 107.31 & 0.974919798892322 & 0.982138521830412 \tabularnewline
30 & 115.22 & 111.25616571845 & 107.67625 & 1.0332470318984 & 1.03562799648858 \tabularnewline
31 & 115.53 & 115.337326173523 & 108.02875 & 1.06765399186349 & 1.00167052447694 \tabularnewline
32 & 115.4 & 115.507407217525 & 108.38125 & 1.06575083067897 & 0.999070127015118 \tabularnewline
33 & 111.99 & 112.564341110362 & 108.73375 & 1.03522909041914 & 0.994897663818787 \tabularnewline
34 & 107.93 & 107.119642753196 & 109.08625 & 0.981971996958329 & 1.00756497338842 \tabularnewline
35 & 107.43 & 106.936454839099 & 109.43875 & 0.977135199726783 & 1.00461531253905 \tabularnewline
36 & 106.98 & 106.687514723959 & 109.552083333333 & 0.97385199329657 & 1.00274151363258 \tabularnewline
37 & 106.98 & 106.693725630629 & 109.624166666667 & 0.973268293614967 & 1.00268314155944 \tabularnewline
38 & 106.98 & 106.913917869388 & 109.89 & 0.972917625529058 & 1.00061808726056 \tabularnewline
39 & 106.98 & 106.995809050758 & 110.194583333333 & 0.970971583304606 & 0.999852246074886 \tabularnewline
40 & 106.98 & 107.502512590928 & 110.47625 & 0.973082563817366 & 0.995139531362243 \tabularnewline
41 & 106.98 & 107.917528488637 & 110.69375 & 0.974919798892322 & 0.991312546703331 \tabularnewline
42 & 113.71 & 114.61292701333 & 110.925 & 1.0332470318984 & 0.992121944383942 \tabularnewline
43 & 118.77 & 118.689314852144 & 111.168333333333 & 1.06765399186349 & 1.00067980127745 \tabularnewline
44 & 118.54 & 118.77348945071 & 111.445833333333 & 1.06575083067897 & 0.998034161901026 \tabularnewline
45 & 116.16 & 115.667440308893 & 111.73125 & 1.03522909041914 & 1.00425841265088 \tabularnewline
46 & 110.52 & 109.970634784365 & 111.989583333333 & 0.981971996958329 & 1.00499556283105 \tabularnewline
47 & 110.06 & 109.777475432305 & 112.34625 & 0.977135199726783 & 1.00257361144973 \tabularnewline
48 & 109.9 & 109.604201443882 & 112.547083333333 & 0.97385199329657 & 1.0026987884791 \tabularnewline
49 & 109.9 & 109.555134413857 & 112.564166666667 & 0.973268293614967 & 1.00314787242047 \tabularnewline
50 & 110.72 & 109.611331986168 & 112.6625 & 0.972917625529058 & 1.0101145382849 \tabularnewline
51 & 110.09 & 109.346369425341 & 112.615416666667 & 0.970971583304606 & 1.00680068829506 \tabularnewline
52 & 110.07 & 109.484762863638 & 112.513333333333 & 0.973082563817366 & 1.00534537520158 \tabularnewline
53 & 112.45 & 109.69310117237 & 112.515 & 0.974919798892322 & 1.02513283696208 \tabularnewline
54 & 113.06 & 116.256650833242 & 112.515833333333 & 1.0332470318984 & 0.972503501431267 \tabularnewline
55 & 119.83 & 120.146662551038 & 112.533333333333 & 1.06765399186349 & 0.997364366647278 \tabularnewline
56 & 119.84 & 119.936934107535 & 112.5375 & 1.06575083067897 & 0.999191791017036 \tabularnewline
57 & 113.73 & 116.508132599404 & 112.543333333333 & 1.03522909041914 & 0.976155032808253 \tabularnewline
58 & 110.5 & 110.635102502306 & 112.66625 & 0.981971996958329 & 0.998778845960725 \tabularnewline
59 & 110.12 & 110.175658026194 & 112.75375 & 0.977135199726783 & 0.999494824653731 \tabularnewline
60 & 109.86 & 109.906501333468 & 112.8575 & 0.97385199329657 & 0.999576900975798 \tabularnewline
61 & 110.36 & 110.082726934688 & 113.10625 & 0.973268293614967 & 1.00251876995631 \tabularnewline
62 & 110.36 & 110.227513149003 & 113.295833333333 & 0.972917625529058 & 1.00120193994414 \tabularnewline
63 & 110.59 & 110.097658687923 & 113.389166666667 & 0.970971583304606 & 1.00447185996455 \tabularnewline
64 & 112.52 & 110.413651261015 & 113.467916666667 & 0.973082563817366 & 1.01907688691506 \tabularnewline
65 & 112.1 & 110.687113150657 & 113.534583333333 & 0.974919798892322 & 1.01276469147244 \tabularnewline
66 & 115.9 & 117.32821410924 & 113.552916666667 & 1.0332470318984 & 0.987827189563202 \tabularnewline
67 & 122.96 & NA & NA & 1.06765399186349 & NA \tabularnewline
68 & 121.26 & NA & NA & 1.06575083067897 & NA \tabularnewline
69 & 114.55 & NA & NA & 1.03522909041914 & NA \tabularnewline
70 & 111.57 & NA & NA & 0.981971996958329 & NA \tabularnewline
71 & 110.65 & NA & NA & 0.977135199726783 & NA \tabularnewline
72 & 109.77 & NA & NA & 0.97385199329657 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199168&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]99.42[/C][C]NA[/C][C]NA[/C][C]0.973268293614967[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]99.42[/C][C]NA[/C][C]NA[/C][C]0.972917625529058[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]99.42[/C][C]NA[/C][C]NA[/C][C]0.970971583304606[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]99.42[/C][C]NA[/C][C]NA[/C][C]0.973082563817366[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]99.42[/C][C]NA[/C][C]NA[/C][C]0.974919798892322[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]109.26[/C][C]NA[/C][C]NA[/C][C]1.0332470318984[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]110[/C][C]109.979482557688[/C][C]103.010416666667[/C][C]1.06765399186349[/C][C]1.00018655699986[/C][/ROW]
[ROW][C]8[/C][C]110[/C][C]109.839389049698[/C][C]103.062916666667[/C][C]1.06575083067897[/C][C]1.00146223455622[/C][/ROW]
[ROW][C]9[/C][C]109.26[/C][C]106.748079004024[/C][C]103.115416666667[/C][C]1.03522909041914[/C][C]1.02353129929281[/C][/ROW]
[ROW][C]10[/C][C]100.07[/C][C]101.308005151197[/C][C]103.167916666667[/C][C]0.981971996958329[/C][C]0.987779789471232[/C][/ROW]
[ROW][C]11[/C][C]100.07[/C][C]100.860302455465[/C][C]103.220416666667[/C][C]0.977135199726783[/C][C]0.992164385429896[/C][/ROW]
[ROW][C]12[/C][C]100.05[/C][C]100.52708932303[/C][C]103.22625[/C][C]0.97385199329657[/C][C]0.995254121787044[/C][/ROW]
[ROW][C]13[/C][C]100.05[/C][C]100.500495055593[/C][C]103.260833333333[/C][C]0.973268293614967[/C][C]0.995517484213947[/C][/ROW]
[ROW][C]14[/C][C]100.05[/C][C]100.582656421258[/C][C]103.3825[/C][C]0.972917625529058[/C][C]0.994704291572624[/C][/ROW]
[ROW][C]15[/C][C]100.05[/C][C]100.41626285939[/C][C]103.418333333333[/C][C]0.970971583304606[/C][C]0.996352554367582[/C][/ROW]
[ROW][C]16[/C][C]100.05[/C][C]100.728641593555[/C][C]103.515[/C][C]0.973082563817366[/C][C]0.993262675016576[/C][/ROW]
[ROW][C]17[/C][C]100.05[/C][C]101.156865899902[/C][C]103.759166666667[/C][C]0.974919798892322[/C][C]0.989057926122416[/C][/ROW]
[ROW][C]18[/C][C]108.77[/C][C]107.445636768728[/C][C]103.988333333333[/C][C]1.0332470318984[/C][C]1.01232589122369[/C][/ROW]
[ROW][C]19[/C][C]111.32[/C][C]111.263781338734[/C][C]104.213333333333[/C][C]1.06765399186349[/C][C]1.00050527368916[/C][/ROW]
[ROW][C]20[/C][C]111.6[/C][C]111.305240504727[/C][C]104.438333333333[/C][C]1.06575083067897[/C][C]1.00264820860128[/C][/ROW]
[ROW][C]21[/C][C]108.52[/C][C]108.350527366902[/C][C]104.663333333333[/C][C]1.03522909041914[/C][C]1.00156411451995[/C][/ROW]
[ROW][C]22[/C][C]103.13[/C][C]102.997406140964[/C][C]104.888333333333[/C][C]0.981971996958329[/C][C]1.00128735143926[/C][/ROW]
[ROW][C]23[/C][C]102.87[/C][C]102.709937960615[/C][C]105.113333333333[/C][C]0.977135199726783[/C][C]1.00155838901827[/C][/ROW]
[ROW][C]24[/C][C]102.75[/C][C]102.736110261158[/C][C]105.494583333333[/C][C]0.97385199329657[/C][C]1.00013519821616[/C][/ROW]
[ROW][C]25[/C][C]102.75[/C][C]103.106826440203[/C][C]105.93875[/C][C]0.973268293614967[/C][C]0.996539254940511[/C][/ROW]
[ROW][C]26[/C][C]102.75[/C][C]103.394388359037[/C][C]106.2725[/C][C]0.972917625529058[/C][C]0.993767666028458[/C][/ROW]
[ROW][C]27[/C][C]102.75[/C][C]103.481701062181[/C][C]106.575416666667[/C][C]0.970971583304606[/C][C]0.992929174388603[/C][/ROW]
[ROW][C]28[/C][C]102.75[/C][C]104.041987723353[/C][C]106.92[/C][C]0.973082563817366[/C][C]0.987582054595226[/C][/ROW]
[ROW][C]29[/C][C]102.75[/C][C]104.618643619135[/C][C]107.31[/C][C]0.974919798892322[/C][C]0.982138521830412[/C][/ROW]
[ROW][C]30[/C][C]115.22[/C][C]111.25616571845[/C][C]107.67625[/C][C]1.0332470318984[/C][C]1.03562799648858[/C][/ROW]
[ROW][C]31[/C][C]115.53[/C][C]115.337326173523[/C][C]108.02875[/C][C]1.06765399186349[/C][C]1.00167052447694[/C][/ROW]
[ROW][C]32[/C][C]115.4[/C][C]115.507407217525[/C][C]108.38125[/C][C]1.06575083067897[/C][C]0.999070127015118[/C][/ROW]
[ROW][C]33[/C][C]111.99[/C][C]112.564341110362[/C][C]108.73375[/C][C]1.03522909041914[/C][C]0.994897663818787[/C][/ROW]
[ROW][C]34[/C][C]107.93[/C][C]107.119642753196[/C][C]109.08625[/C][C]0.981971996958329[/C][C]1.00756497338842[/C][/ROW]
[ROW][C]35[/C][C]107.43[/C][C]106.936454839099[/C][C]109.43875[/C][C]0.977135199726783[/C][C]1.00461531253905[/C][/ROW]
[ROW][C]36[/C][C]106.98[/C][C]106.687514723959[/C][C]109.552083333333[/C][C]0.97385199329657[/C][C]1.00274151363258[/C][/ROW]
[ROW][C]37[/C][C]106.98[/C][C]106.693725630629[/C][C]109.624166666667[/C][C]0.973268293614967[/C][C]1.00268314155944[/C][/ROW]
[ROW][C]38[/C][C]106.98[/C][C]106.913917869388[/C][C]109.89[/C][C]0.972917625529058[/C][C]1.00061808726056[/C][/ROW]
[ROW][C]39[/C][C]106.98[/C][C]106.995809050758[/C][C]110.194583333333[/C][C]0.970971583304606[/C][C]0.999852246074886[/C][/ROW]
[ROW][C]40[/C][C]106.98[/C][C]107.502512590928[/C][C]110.47625[/C][C]0.973082563817366[/C][C]0.995139531362243[/C][/ROW]
[ROW][C]41[/C][C]106.98[/C][C]107.917528488637[/C][C]110.69375[/C][C]0.974919798892322[/C][C]0.991312546703331[/C][/ROW]
[ROW][C]42[/C][C]113.71[/C][C]114.61292701333[/C][C]110.925[/C][C]1.0332470318984[/C][C]0.992121944383942[/C][/ROW]
[ROW][C]43[/C][C]118.77[/C][C]118.689314852144[/C][C]111.168333333333[/C][C]1.06765399186349[/C][C]1.00067980127745[/C][/ROW]
[ROW][C]44[/C][C]118.54[/C][C]118.77348945071[/C][C]111.445833333333[/C][C]1.06575083067897[/C][C]0.998034161901026[/C][/ROW]
[ROW][C]45[/C][C]116.16[/C][C]115.667440308893[/C][C]111.73125[/C][C]1.03522909041914[/C][C]1.00425841265088[/C][/ROW]
[ROW][C]46[/C][C]110.52[/C][C]109.970634784365[/C][C]111.989583333333[/C][C]0.981971996958329[/C][C]1.00499556283105[/C][/ROW]
[ROW][C]47[/C][C]110.06[/C][C]109.777475432305[/C][C]112.34625[/C][C]0.977135199726783[/C][C]1.00257361144973[/C][/ROW]
[ROW][C]48[/C][C]109.9[/C][C]109.604201443882[/C][C]112.547083333333[/C][C]0.97385199329657[/C][C]1.0026987884791[/C][/ROW]
[ROW][C]49[/C][C]109.9[/C][C]109.555134413857[/C][C]112.564166666667[/C][C]0.973268293614967[/C][C]1.00314787242047[/C][/ROW]
[ROW][C]50[/C][C]110.72[/C][C]109.611331986168[/C][C]112.6625[/C][C]0.972917625529058[/C][C]1.0101145382849[/C][/ROW]
[ROW][C]51[/C][C]110.09[/C][C]109.346369425341[/C][C]112.615416666667[/C][C]0.970971583304606[/C][C]1.00680068829506[/C][/ROW]
[ROW][C]52[/C][C]110.07[/C][C]109.484762863638[/C][C]112.513333333333[/C][C]0.973082563817366[/C][C]1.00534537520158[/C][/ROW]
[ROW][C]53[/C][C]112.45[/C][C]109.69310117237[/C][C]112.515[/C][C]0.974919798892322[/C][C]1.02513283696208[/C][/ROW]
[ROW][C]54[/C][C]113.06[/C][C]116.256650833242[/C][C]112.515833333333[/C][C]1.0332470318984[/C][C]0.972503501431267[/C][/ROW]
[ROW][C]55[/C][C]119.83[/C][C]120.146662551038[/C][C]112.533333333333[/C][C]1.06765399186349[/C][C]0.997364366647278[/C][/ROW]
[ROW][C]56[/C][C]119.84[/C][C]119.936934107535[/C][C]112.5375[/C][C]1.06575083067897[/C][C]0.999191791017036[/C][/ROW]
[ROW][C]57[/C][C]113.73[/C][C]116.508132599404[/C][C]112.543333333333[/C][C]1.03522909041914[/C][C]0.976155032808253[/C][/ROW]
[ROW][C]58[/C][C]110.5[/C][C]110.635102502306[/C][C]112.66625[/C][C]0.981971996958329[/C][C]0.998778845960725[/C][/ROW]
[ROW][C]59[/C][C]110.12[/C][C]110.175658026194[/C][C]112.75375[/C][C]0.977135199726783[/C][C]0.999494824653731[/C][/ROW]
[ROW][C]60[/C][C]109.86[/C][C]109.906501333468[/C][C]112.8575[/C][C]0.97385199329657[/C][C]0.999576900975798[/C][/ROW]
[ROW][C]61[/C][C]110.36[/C][C]110.082726934688[/C][C]113.10625[/C][C]0.973268293614967[/C][C]1.00251876995631[/C][/ROW]
[ROW][C]62[/C][C]110.36[/C][C]110.227513149003[/C][C]113.295833333333[/C][C]0.972917625529058[/C][C]1.00120193994414[/C][/ROW]
[ROW][C]63[/C][C]110.59[/C][C]110.097658687923[/C][C]113.389166666667[/C][C]0.970971583304606[/C][C]1.00447185996455[/C][/ROW]
[ROW][C]64[/C][C]112.52[/C][C]110.413651261015[/C][C]113.467916666667[/C][C]0.973082563817366[/C][C]1.01907688691506[/C][/ROW]
[ROW][C]65[/C][C]112.1[/C][C]110.687113150657[/C][C]113.534583333333[/C][C]0.974919798892322[/C][C]1.01276469147244[/C][/ROW]
[ROW][C]66[/C][C]115.9[/C][C]117.32821410924[/C][C]113.552916666667[/C][C]1.0332470318984[/C][C]0.987827189563202[/C][/ROW]
[ROW][C]67[/C][C]122.96[/C][C]NA[/C][C]NA[/C][C]1.06765399186349[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]121.26[/C][C]NA[/C][C]NA[/C][C]1.06575083067897[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]114.55[/C][C]NA[/C][C]NA[/C][C]1.03522909041914[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]111.57[/C][C]NA[/C][C]NA[/C][C]0.981971996958329[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]110.65[/C][C]NA[/C][C]NA[/C][C]0.977135199726783[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]109.77[/C][C]NA[/C][C]NA[/C][C]0.97385199329657[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199168&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199168&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	99.42	NA	NA	0.973268293614967	NA
2	99.42	NA	NA	0.972917625529058	NA
3	99.42	NA	NA	0.970971583304606	NA
4	99.42	NA	NA	0.973082563817366	NA
5	99.42	NA	NA	0.974919798892322	NA
6	109.26	NA	NA	1.0332470318984	NA
7	110	109.979482557688	103.010416666667	1.06765399186349	1.00018655699986
8	110	109.839389049698	103.062916666667	1.06575083067897	1.00146223455622
9	109.26	106.748079004024	103.115416666667	1.03522909041914	1.02353129929281
10	100.07	101.308005151197	103.167916666667	0.981971996958329	0.987779789471232
11	100.07	100.860302455465	103.220416666667	0.977135199726783	0.992164385429896
12	100.05	100.52708932303	103.22625	0.97385199329657	0.995254121787044
13	100.05	100.500495055593	103.260833333333	0.973268293614967	0.995517484213947
14	100.05	100.582656421258	103.3825	0.972917625529058	0.994704291572624
15	100.05	100.41626285939	103.418333333333	0.970971583304606	0.996352554367582
16	100.05	100.728641593555	103.515	0.973082563817366	0.993262675016576
17	100.05	101.156865899902	103.759166666667	0.974919798892322	0.989057926122416
18	108.77	107.445636768728	103.988333333333	1.0332470318984	1.01232589122369
19	111.32	111.263781338734	104.213333333333	1.06765399186349	1.00050527368916
20	111.6	111.305240504727	104.438333333333	1.06575083067897	1.00264820860128
21	108.52	108.350527366902	104.663333333333	1.03522909041914	1.00156411451995
22	103.13	102.997406140964	104.888333333333	0.981971996958329	1.00128735143926
23	102.87	102.709937960615	105.113333333333	0.977135199726783	1.00155838901827
24	102.75	102.736110261158	105.494583333333	0.97385199329657	1.00013519821616
25	102.75	103.106826440203	105.93875	0.973268293614967	0.996539254940511
26	102.75	103.394388359037	106.2725	0.972917625529058	0.993767666028458
27	102.75	103.481701062181	106.575416666667	0.970971583304606	0.992929174388603
28	102.75	104.041987723353	106.92	0.973082563817366	0.987582054595226
29	102.75	104.618643619135	107.31	0.974919798892322	0.982138521830412
30	115.22	111.25616571845	107.67625	1.0332470318984	1.03562799648858
31	115.53	115.337326173523	108.02875	1.06765399186349	1.00167052447694
32	115.4	115.507407217525	108.38125	1.06575083067897	0.999070127015118
33	111.99	112.564341110362	108.73375	1.03522909041914	0.994897663818787
34	107.93	107.119642753196	109.08625	0.981971996958329	1.00756497338842
35	107.43	106.936454839099	109.43875	0.977135199726783	1.00461531253905
36	106.98	106.687514723959	109.552083333333	0.97385199329657	1.00274151363258
37	106.98	106.693725630629	109.624166666667	0.973268293614967	1.00268314155944
38	106.98	106.913917869388	109.89	0.972917625529058	1.00061808726056
39	106.98	106.995809050758	110.194583333333	0.970971583304606	0.999852246074886
40	106.98	107.502512590928	110.47625	0.973082563817366	0.995139531362243
41	106.98	107.917528488637	110.69375	0.974919798892322	0.991312546703331
42	113.71	114.61292701333	110.925	1.0332470318984	0.992121944383942
43	118.77	118.689314852144	111.168333333333	1.06765399186349	1.00067980127745
44	118.54	118.77348945071	111.445833333333	1.06575083067897	0.998034161901026
45	116.16	115.667440308893	111.73125	1.03522909041914	1.00425841265088
46	110.52	109.970634784365	111.989583333333	0.981971996958329	1.00499556283105
47	110.06	109.777475432305	112.34625	0.977135199726783	1.00257361144973
48	109.9	109.604201443882	112.547083333333	0.97385199329657	1.0026987884791
49	109.9	109.555134413857	112.564166666667	0.973268293614967	1.00314787242047
50	110.72	109.611331986168	112.6625	0.972917625529058	1.0101145382849
51	110.09	109.346369425341	112.615416666667	0.970971583304606	1.00680068829506
52	110.07	109.484762863638	112.513333333333	0.973082563817366	1.00534537520158
53	112.45	109.69310117237	112.515	0.974919798892322	1.02513283696208
54	113.06	116.256650833242	112.515833333333	1.0332470318984	0.972503501431267
55	119.83	120.146662551038	112.533333333333	1.06765399186349	0.997364366647278
56	119.84	119.936934107535	112.5375	1.06575083067897	0.999191791017036
57	113.73	116.508132599404	112.543333333333	1.03522909041914	0.976155032808253
58	110.5	110.635102502306	112.66625	0.981971996958329	0.998778845960725
59	110.12	110.175658026194	112.75375	0.977135199726783	0.999494824653731
60	109.86	109.906501333468	112.8575	0.97385199329657	0.999576900975798
61	110.36	110.082726934688	113.10625	0.973268293614967	1.00251876995631
62	110.36	110.227513149003	113.295833333333	0.972917625529058	1.00120193994414
63	110.59	110.097658687923	113.389166666667	0.970971583304606	1.00447185996455
64	112.52	110.413651261015	113.467916666667	0.973082563817366	1.01907688691506
65	112.1	110.687113150657	113.534583333333	0.974919798892322	1.01276469147244
66	115.9	117.32821410924	113.552916666667	1.0332470318984	0.987827189563202
67	122.96	NA	NA	1.06765399186349	NA
68	121.26	NA	NA	1.06575083067897	NA
69	114.55	NA	NA	1.03522909041914	NA
70	111.57	NA	NA	0.981971996958329	NA
71	110.65	NA	NA	0.977135199726783	NA
72	109.77	NA	NA	0.97385199329657	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