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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sat, 03 Jan 2015 12:44:22 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/03/t1420289329ozitkdhx5c8alsr.htm/, Retrieved Tue, 14 May 2024 08:35:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271897, Retrieved Tue, 14 May 2024 08:35:00 +0000

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Estimated Impact

120

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-     [Blocked Bootstrap Plot - Central Tendency] [] [2014-11-15 20:15:41] [e0fdc24fab02fa85c96022445b7a1857]
- RMP     [Classical Decomposition] [] [2015-01-03 12:44:22] [e5757b82694375e1f239be852782e5f7] [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	2 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=271897&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=271897&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271897&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	2 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	220.05	NA	NA	0.995554	NA
2	220.05	NA	NA	0.995742	NA
3	220.62	NA	NA	0.998655	NA
4	221.53	NA	NA	0.998688	NA
5	221.61	NA	NA	0.999655	NA
6	221.5	NA	NA	0.998697	NA
7	221.5	221	221.319	0.998559	1.00226
8	221.87	221.278	221.456	0.999195	1.00268
9	222.27	221.706	221.57	1.00061	1.00255
10	220.86	222.363	221.562	1.00362	0.993241
11	221.49	222.698	221.474	1.00552	0.994578
12	221.67	222.576	221.359	1.0055	0.995927
13	221.67	220.216	221.2	0.995554	1.0066
14	221.72	220.084	221.025	0.995742	1.00743
15	221.67	220.531	220.828	0.998655	1.00517
16	220.29	220.467	220.756	0.998688	0.999199
17	220.75	220.686	220.762	0.999655	1.00029
18	219.59	220.422	220.71	0.998697	0.996223
19	219.59	220.337	220.655	0.998559	0.996609
20	219.59	220.365	220.543	0.999195	0.996481
21	219.82	220.566	220.43	1.00061	0.996619
22	221.59	221.18	220.383	1.00362	1.00185
23	220.9	221.467	220.25	1.00552	0.99744
24	221.01	221.281	220.07	1.0055	0.998777
25	221.01	218.957	219.935	0.995554	1.00938
26	219.69	218.846	219.782	0.995742	1.00386
27	221	219.283	219.578	0.998655	1.00783
28	219.82	218.989	219.277	0.998688	1.00379
29	218.04	218.884	218.959	0.999655	0.996146
30	217.97	218.403	218.687	0.998697	0.998019
31	217.97	218.098	218.412	0.998559	0.999414
32	217.53	218.05	218.225	0.999195	0.997616
33	217	218.218	218.084	1.00061	0.994419
34	217.18	218.744	217.956	1.00362	0.99285
35	217.68	219.205	218.001	1.00552	0.993043
36	217.71	219.363	218.162	1.0055	0.992466
37	217.71	217.352	218.322	0.995554	1.00165
38	218.5	217.578	218.509	0.995742	1.00424
39	218.8	218.452	218.747	0.998655	1.00159
40	218.94	218.75	219.037	0.998688	1.00087
41	220	219.308	219.383	0.999655	1.00316
42	219.89	219.442	219.728	0.998697	1.00204
43	219.89	219.727	220.044	0.998559	1.00074
44	220.08	220.153	220.331	0.999195	0.999666
45	220.16	220.722	220.587	1.00061	0.997452
46	221	221.687	220.888	1.00362	0.996902
47	222.16	222.4	221.178	1.00552	0.998922
48	221.5	222.619	221.401	1.0055	0.994974
49	221.5	220.629	221.614	0.995554	1.00395
50	221.6	220.873	221.817	0.995742	1.00329
51	221.85	221.74	222.039	0.998655	1.0005
52	223.11	222.013	222.305	0.998688	1.00494
53	222.79	222.457	222.533	0.999655	1.0015
54	222.45	222.431	222.721	0.998697	1.00009
55	222.45	222.123	222.443	0.998559	1.00147
56	222.4	221.501	221.679	0.999195	1.00406
57	223.15	221.058	220.922	1.00061	1.00946
58	224.4	220.942	220.146	1.00362	1.01565
59	224.24	220.596	219.385	1.00552	1.01652
60	223.92	219.884	218.681	1.0055	1.01835
61	212.42	216.993	217.962	0.995554	0.978925
62	212.34	216.303	217.228	0.995742	0.981679
63	212.95	216.102	216.393	0.998655	0.985415
64	213.37	215.156	215.438	0.998688	0.9917
65	214.26	214.387	214.461	0.999655	0.999408
66	214.1	213.22	213.498	0.998697	1.00413
67	213.54	NA	NA	0.998559	NA
68	213.69	NA	NA	0.999195	NA
69	211.82	NA	NA	1.00061	NA
70	212.82	NA	NA	1.00362	NA
71	212.36	NA	NA	1.00552	NA
72	212.7	NA	NA	1.0055	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 220.05 & NA & NA & 0.995554 & NA \tabularnewline
2 & 220.05 & NA & NA & 0.995742 & NA \tabularnewline
3 & 220.62 & NA & NA & 0.998655 & NA \tabularnewline
4 & 221.53 & NA & NA & 0.998688 & NA \tabularnewline
5 & 221.61 & NA & NA & 0.999655 & NA \tabularnewline
6 & 221.5 & NA & NA & 0.998697 & NA \tabularnewline
7 & 221.5 & 221 & 221.319 & 0.998559 & 1.00226 \tabularnewline
8 & 221.87 & 221.278 & 221.456 & 0.999195 & 1.00268 \tabularnewline
9 & 222.27 & 221.706 & 221.57 & 1.00061 & 1.00255 \tabularnewline
10 & 220.86 & 222.363 & 221.562 & 1.00362 & 0.993241 \tabularnewline
11 & 221.49 & 222.698 & 221.474 & 1.00552 & 0.994578 \tabularnewline
12 & 221.67 & 222.576 & 221.359 & 1.0055 & 0.995927 \tabularnewline
13 & 221.67 & 220.216 & 221.2 & 0.995554 & 1.0066 \tabularnewline
14 & 221.72 & 220.084 & 221.025 & 0.995742 & 1.00743 \tabularnewline
15 & 221.67 & 220.531 & 220.828 & 0.998655 & 1.00517 \tabularnewline
16 & 220.29 & 220.467 & 220.756 & 0.998688 & 0.999199 \tabularnewline
17 & 220.75 & 220.686 & 220.762 & 0.999655 & 1.00029 \tabularnewline
18 & 219.59 & 220.422 & 220.71 & 0.998697 & 0.996223 \tabularnewline
19 & 219.59 & 220.337 & 220.655 & 0.998559 & 0.996609 \tabularnewline
20 & 219.59 & 220.365 & 220.543 & 0.999195 & 0.996481 \tabularnewline
21 & 219.82 & 220.566 & 220.43 & 1.00061 & 0.996619 \tabularnewline
22 & 221.59 & 221.18 & 220.383 & 1.00362 & 1.00185 \tabularnewline
23 & 220.9 & 221.467 & 220.25 & 1.00552 & 0.99744 \tabularnewline
24 & 221.01 & 221.281 & 220.07 & 1.0055 & 0.998777 \tabularnewline
25 & 221.01 & 218.957 & 219.935 & 0.995554 & 1.00938 \tabularnewline
26 & 219.69 & 218.846 & 219.782 & 0.995742 & 1.00386 \tabularnewline
27 & 221 & 219.283 & 219.578 & 0.998655 & 1.00783 \tabularnewline
28 & 219.82 & 218.989 & 219.277 & 0.998688 & 1.00379 \tabularnewline
29 & 218.04 & 218.884 & 218.959 & 0.999655 & 0.996146 \tabularnewline
30 & 217.97 & 218.403 & 218.687 & 0.998697 & 0.998019 \tabularnewline
31 & 217.97 & 218.098 & 218.412 & 0.998559 & 0.999414 \tabularnewline
32 & 217.53 & 218.05 & 218.225 & 0.999195 & 0.997616 \tabularnewline
33 & 217 & 218.218 & 218.084 & 1.00061 & 0.994419 \tabularnewline
34 & 217.18 & 218.744 & 217.956 & 1.00362 & 0.99285 \tabularnewline
35 & 217.68 & 219.205 & 218.001 & 1.00552 & 0.993043 \tabularnewline
36 & 217.71 & 219.363 & 218.162 & 1.0055 & 0.992466 \tabularnewline
37 & 217.71 & 217.352 & 218.322 & 0.995554 & 1.00165 \tabularnewline
38 & 218.5 & 217.578 & 218.509 & 0.995742 & 1.00424 \tabularnewline
39 & 218.8 & 218.452 & 218.747 & 0.998655 & 1.00159 \tabularnewline
40 & 218.94 & 218.75 & 219.037 & 0.998688 & 1.00087 \tabularnewline
41 & 220 & 219.308 & 219.383 & 0.999655 & 1.00316 \tabularnewline
42 & 219.89 & 219.442 & 219.728 & 0.998697 & 1.00204 \tabularnewline
43 & 219.89 & 219.727 & 220.044 & 0.998559 & 1.00074 \tabularnewline
44 & 220.08 & 220.153 & 220.331 & 0.999195 & 0.999666 \tabularnewline
45 & 220.16 & 220.722 & 220.587 & 1.00061 & 0.997452 \tabularnewline
46 & 221 & 221.687 & 220.888 & 1.00362 & 0.996902 \tabularnewline
47 & 222.16 & 222.4 & 221.178 & 1.00552 & 0.998922 \tabularnewline
48 & 221.5 & 222.619 & 221.401 & 1.0055 & 0.994974 \tabularnewline
49 & 221.5 & 220.629 & 221.614 & 0.995554 & 1.00395 \tabularnewline
50 & 221.6 & 220.873 & 221.817 & 0.995742 & 1.00329 \tabularnewline
51 & 221.85 & 221.74 & 222.039 & 0.998655 & 1.0005 \tabularnewline
52 & 223.11 & 222.013 & 222.305 & 0.998688 & 1.00494 \tabularnewline
53 & 222.79 & 222.457 & 222.533 & 0.999655 & 1.0015 \tabularnewline
54 & 222.45 & 222.431 & 222.721 & 0.998697 & 1.00009 \tabularnewline
55 & 222.45 & 222.123 & 222.443 & 0.998559 & 1.00147 \tabularnewline
56 & 222.4 & 221.501 & 221.679 & 0.999195 & 1.00406 \tabularnewline
57 & 223.15 & 221.058 & 220.922 & 1.00061 & 1.00946 \tabularnewline
58 & 224.4 & 220.942 & 220.146 & 1.00362 & 1.01565 \tabularnewline
59 & 224.24 & 220.596 & 219.385 & 1.00552 & 1.01652 \tabularnewline
60 & 223.92 & 219.884 & 218.681 & 1.0055 & 1.01835 \tabularnewline
61 & 212.42 & 216.993 & 217.962 & 0.995554 & 0.978925 \tabularnewline
62 & 212.34 & 216.303 & 217.228 & 0.995742 & 0.981679 \tabularnewline
63 & 212.95 & 216.102 & 216.393 & 0.998655 & 0.985415 \tabularnewline
64 & 213.37 & 215.156 & 215.438 & 0.998688 & 0.9917 \tabularnewline
65 & 214.26 & 214.387 & 214.461 & 0.999655 & 0.999408 \tabularnewline
66 & 214.1 & 213.22 & 213.498 & 0.998697 & 1.00413 \tabularnewline
67 & 213.54 & NA & NA & 0.998559 & NA \tabularnewline
68 & 213.69 & NA & NA & 0.999195 & NA \tabularnewline
69 & 211.82 & NA & NA & 1.00061 & NA \tabularnewline
70 & 212.82 & NA & NA & 1.00362 & NA \tabularnewline
71 & 212.36 & NA & NA & 1.00552 & NA \tabularnewline
72 & 212.7 & NA & NA & 1.0055 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271897&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]220.05[/C][C]NA[/C][C]NA[/C][C]0.995554[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]220.05[/C][C]NA[/C][C]NA[/C][C]0.995742[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]220.62[/C][C]NA[/C][C]NA[/C][C]0.998655[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]221.53[/C][C]NA[/C][C]NA[/C][C]0.998688[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]221.61[/C][C]NA[/C][C]NA[/C][C]0.999655[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]221.5[/C][C]NA[/C][C]NA[/C][C]0.998697[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]221.5[/C][C]221[/C][C]221.319[/C][C]0.998559[/C][C]1.00226[/C][/ROW]
[ROW][C]8[/C][C]221.87[/C][C]221.278[/C][C]221.456[/C][C]0.999195[/C][C]1.00268[/C][/ROW]
[ROW][C]9[/C][C]222.27[/C][C]221.706[/C][C]221.57[/C][C]1.00061[/C][C]1.00255[/C][/ROW]
[ROW][C]10[/C][C]220.86[/C][C]222.363[/C][C]221.562[/C][C]1.00362[/C][C]0.993241[/C][/ROW]
[ROW][C]11[/C][C]221.49[/C][C]222.698[/C][C]221.474[/C][C]1.00552[/C][C]0.994578[/C][/ROW]
[ROW][C]12[/C][C]221.67[/C][C]222.576[/C][C]221.359[/C][C]1.0055[/C][C]0.995927[/C][/ROW]
[ROW][C]13[/C][C]221.67[/C][C]220.216[/C][C]221.2[/C][C]0.995554[/C][C]1.0066[/C][/ROW]
[ROW][C]14[/C][C]221.72[/C][C]220.084[/C][C]221.025[/C][C]0.995742[/C][C]1.00743[/C][/ROW]
[ROW][C]15[/C][C]221.67[/C][C]220.531[/C][C]220.828[/C][C]0.998655[/C][C]1.00517[/C][/ROW]
[ROW][C]16[/C][C]220.29[/C][C]220.467[/C][C]220.756[/C][C]0.998688[/C][C]0.999199[/C][/ROW]
[ROW][C]17[/C][C]220.75[/C][C]220.686[/C][C]220.762[/C][C]0.999655[/C][C]1.00029[/C][/ROW]
[ROW][C]18[/C][C]219.59[/C][C]220.422[/C][C]220.71[/C][C]0.998697[/C][C]0.996223[/C][/ROW]
[ROW][C]19[/C][C]219.59[/C][C]220.337[/C][C]220.655[/C][C]0.998559[/C][C]0.996609[/C][/ROW]
[ROW][C]20[/C][C]219.59[/C][C]220.365[/C][C]220.543[/C][C]0.999195[/C][C]0.996481[/C][/ROW]
[ROW][C]21[/C][C]219.82[/C][C]220.566[/C][C]220.43[/C][C]1.00061[/C][C]0.996619[/C][/ROW]
[ROW][C]22[/C][C]221.59[/C][C]221.18[/C][C]220.383[/C][C]1.00362[/C][C]1.00185[/C][/ROW]
[ROW][C]23[/C][C]220.9[/C][C]221.467[/C][C]220.25[/C][C]1.00552[/C][C]0.99744[/C][/ROW]
[ROW][C]24[/C][C]221.01[/C][C]221.281[/C][C]220.07[/C][C]1.0055[/C][C]0.998777[/C][/ROW]
[ROW][C]25[/C][C]221.01[/C][C]218.957[/C][C]219.935[/C][C]0.995554[/C][C]1.00938[/C][/ROW]
[ROW][C]26[/C][C]219.69[/C][C]218.846[/C][C]219.782[/C][C]0.995742[/C][C]1.00386[/C][/ROW]
[ROW][C]27[/C][C]221[/C][C]219.283[/C][C]219.578[/C][C]0.998655[/C][C]1.00783[/C][/ROW]
[ROW][C]28[/C][C]219.82[/C][C]218.989[/C][C]219.277[/C][C]0.998688[/C][C]1.00379[/C][/ROW]
[ROW][C]29[/C][C]218.04[/C][C]218.884[/C][C]218.959[/C][C]0.999655[/C][C]0.996146[/C][/ROW]
[ROW][C]30[/C][C]217.97[/C][C]218.403[/C][C]218.687[/C][C]0.998697[/C][C]0.998019[/C][/ROW]
[ROW][C]31[/C][C]217.97[/C][C]218.098[/C][C]218.412[/C][C]0.998559[/C][C]0.999414[/C][/ROW]
[ROW][C]32[/C][C]217.53[/C][C]218.05[/C][C]218.225[/C][C]0.999195[/C][C]0.997616[/C][/ROW]
[ROW][C]33[/C][C]217[/C][C]218.218[/C][C]218.084[/C][C]1.00061[/C][C]0.994419[/C][/ROW]
[ROW][C]34[/C][C]217.18[/C][C]218.744[/C][C]217.956[/C][C]1.00362[/C][C]0.99285[/C][/ROW]
[ROW][C]35[/C][C]217.68[/C][C]219.205[/C][C]218.001[/C][C]1.00552[/C][C]0.993043[/C][/ROW]
[ROW][C]36[/C][C]217.71[/C][C]219.363[/C][C]218.162[/C][C]1.0055[/C][C]0.992466[/C][/ROW]
[ROW][C]37[/C][C]217.71[/C][C]217.352[/C][C]218.322[/C][C]0.995554[/C][C]1.00165[/C][/ROW]
[ROW][C]38[/C][C]218.5[/C][C]217.578[/C][C]218.509[/C][C]0.995742[/C][C]1.00424[/C][/ROW]
[ROW][C]39[/C][C]218.8[/C][C]218.452[/C][C]218.747[/C][C]0.998655[/C][C]1.00159[/C][/ROW]
[ROW][C]40[/C][C]218.94[/C][C]218.75[/C][C]219.037[/C][C]0.998688[/C][C]1.00087[/C][/ROW]
[ROW][C]41[/C][C]220[/C][C]219.308[/C][C]219.383[/C][C]0.999655[/C][C]1.00316[/C][/ROW]
[ROW][C]42[/C][C]219.89[/C][C]219.442[/C][C]219.728[/C][C]0.998697[/C][C]1.00204[/C][/ROW]
[ROW][C]43[/C][C]219.89[/C][C]219.727[/C][C]220.044[/C][C]0.998559[/C][C]1.00074[/C][/ROW]
[ROW][C]44[/C][C]220.08[/C][C]220.153[/C][C]220.331[/C][C]0.999195[/C][C]0.999666[/C][/ROW]
[ROW][C]45[/C][C]220.16[/C][C]220.722[/C][C]220.587[/C][C]1.00061[/C][C]0.997452[/C][/ROW]
[ROW][C]46[/C][C]221[/C][C]221.687[/C][C]220.888[/C][C]1.00362[/C][C]0.996902[/C][/ROW]
[ROW][C]47[/C][C]222.16[/C][C]222.4[/C][C]221.178[/C][C]1.00552[/C][C]0.998922[/C][/ROW]
[ROW][C]48[/C][C]221.5[/C][C]222.619[/C][C]221.401[/C][C]1.0055[/C][C]0.994974[/C][/ROW]
[ROW][C]49[/C][C]221.5[/C][C]220.629[/C][C]221.614[/C][C]0.995554[/C][C]1.00395[/C][/ROW]
[ROW][C]50[/C][C]221.6[/C][C]220.873[/C][C]221.817[/C][C]0.995742[/C][C]1.00329[/C][/ROW]
[ROW][C]51[/C][C]221.85[/C][C]221.74[/C][C]222.039[/C][C]0.998655[/C][C]1.0005[/C][/ROW]
[ROW][C]52[/C][C]223.11[/C][C]222.013[/C][C]222.305[/C][C]0.998688[/C][C]1.00494[/C][/ROW]
[ROW][C]53[/C][C]222.79[/C][C]222.457[/C][C]222.533[/C][C]0.999655[/C][C]1.0015[/C][/ROW]
[ROW][C]54[/C][C]222.45[/C][C]222.431[/C][C]222.721[/C][C]0.998697[/C][C]1.00009[/C][/ROW]
[ROW][C]55[/C][C]222.45[/C][C]222.123[/C][C]222.443[/C][C]0.998559[/C][C]1.00147[/C][/ROW]
[ROW][C]56[/C][C]222.4[/C][C]221.501[/C][C]221.679[/C][C]0.999195[/C][C]1.00406[/C][/ROW]
[ROW][C]57[/C][C]223.15[/C][C]221.058[/C][C]220.922[/C][C]1.00061[/C][C]1.00946[/C][/ROW]
[ROW][C]58[/C][C]224.4[/C][C]220.942[/C][C]220.146[/C][C]1.00362[/C][C]1.01565[/C][/ROW]
[ROW][C]59[/C][C]224.24[/C][C]220.596[/C][C]219.385[/C][C]1.00552[/C][C]1.01652[/C][/ROW]
[ROW][C]60[/C][C]223.92[/C][C]219.884[/C][C]218.681[/C][C]1.0055[/C][C]1.01835[/C][/ROW]
[ROW][C]61[/C][C]212.42[/C][C]216.993[/C][C]217.962[/C][C]0.995554[/C][C]0.978925[/C][/ROW]
[ROW][C]62[/C][C]212.34[/C][C]216.303[/C][C]217.228[/C][C]0.995742[/C][C]0.981679[/C][/ROW]
[ROW][C]63[/C][C]212.95[/C][C]216.102[/C][C]216.393[/C][C]0.998655[/C][C]0.985415[/C][/ROW]
[ROW][C]64[/C][C]213.37[/C][C]215.156[/C][C]215.438[/C][C]0.998688[/C][C]0.9917[/C][/ROW]
[ROW][C]65[/C][C]214.26[/C][C]214.387[/C][C]214.461[/C][C]0.999655[/C][C]0.999408[/C][/ROW]
[ROW][C]66[/C][C]214.1[/C][C]213.22[/C][C]213.498[/C][C]0.998697[/C][C]1.00413[/C][/ROW]
[ROW][C]67[/C][C]213.54[/C][C]NA[/C][C]NA[/C][C]0.998559[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]213.69[/C][C]NA[/C][C]NA[/C][C]0.999195[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]211.82[/C][C]NA[/C][C]NA[/C][C]1.00061[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]212.82[/C][C]NA[/C][C]NA[/C][C]1.00362[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]212.36[/C][C]NA[/C][C]NA[/C][C]1.00552[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]212.7[/C][C]NA[/C][C]NA[/C][C]1.0055[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271897&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271897&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	220.05	NA	NA	0.995554	NA
2	220.05	NA	NA	0.995742	NA
3	220.62	NA	NA	0.998655	NA
4	221.53	NA	NA	0.998688	NA
5	221.61	NA	NA	0.999655	NA
6	221.5	NA	NA	0.998697	NA
7	221.5	221	221.319	0.998559	1.00226
8	221.87	221.278	221.456	0.999195	1.00268
9	222.27	221.706	221.57	1.00061	1.00255
10	220.86	222.363	221.562	1.00362	0.993241
11	221.49	222.698	221.474	1.00552	0.994578
12	221.67	222.576	221.359	1.0055	0.995927
13	221.67	220.216	221.2	0.995554	1.0066
14	221.72	220.084	221.025	0.995742	1.00743
15	221.67	220.531	220.828	0.998655	1.00517
16	220.29	220.467	220.756	0.998688	0.999199
17	220.75	220.686	220.762	0.999655	1.00029
18	219.59	220.422	220.71	0.998697	0.996223
19	219.59	220.337	220.655	0.998559	0.996609
20	219.59	220.365	220.543	0.999195	0.996481
21	219.82	220.566	220.43	1.00061	0.996619
22	221.59	221.18	220.383	1.00362	1.00185
23	220.9	221.467	220.25	1.00552	0.99744
24	221.01	221.281	220.07	1.0055	0.998777
25	221.01	218.957	219.935	0.995554	1.00938
26	219.69	218.846	219.782	0.995742	1.00386
27	221	219.283	219.578	0.998655	1.00783
28	219.82	218.989	219.277	0.998688	1.00379
29	218.04	218.884	218.959	0.999655	0.996146
30	217.97	218.403	218.687	0.998697	0.998019
31	217.97	218.098	218.412	0.998559	0.999414
32	217.53	218.05	218.225	0.999195	0.997616
33	217	218.218	218.084	1.00061	0.994419
34	217.18	218.744	217.956	1.00362	0.99285
35	217.68	219.205	218.001	1.00552	0.993043
36	217.71	219.363	218.162	1.0055	0.992466
37	217.71	217.352	218.322	0.995554	1.00165
38	218.5	217.578	218.509	0.995742	1.00424
39	218.8	218.452	218.747	0.998655	1.00159
40	218.94	218.75	219.037	0.998688	1.00087
41	220	219.308	219.383	0.999655	1.00316
42	219.89	219.442	219.728	0.998697	1.00204
43	219.89	219.727	220.044	0.998559	1.00074
44	220.08	220.153	220.331	0.999195	0.999666
45	220.16	220.722	220.587	1.00061	0.997452
46	221	221.687	220.888	1.00362	0.996902
47	222.16	222.4	221.178	1.00552	0.998922
48	221.5	222.619	221.401	1.0055	0.994974
49	221.5	220.629	221.614	0.995554	1.00395
50	221.6	220.873	221.817	0.995742	1.00329
51	221.85	221.74	222.039	0.998655	1.0005
52	223.11	222.013	222.305	0.998688	1.00494
53	222.79	222.457	222.533	0.999655	1.0015
54	222.45	222.431	222.721	0.998697	1.00009
55	222.45	222.123	222.443	0.998559	1.00147
56	222.4	221.501	221.679	0.999195	1.00406
57	223.15	221.058	220.922	1.00061	1.00946
58	224.4	220.942	220.146	1.00362	1.01565
59	224.24	220.596	219.385	1.00552	1.01652
60	223.92	219.884	218.681	1.0055	1.01835
61	212.42	216.993	217.962	0.995554	0.978925
62	212.34	216.303	217.228	0.995742	0.981679
63	212.95	216.102	216.393	0.998655	0.985415
64	213.37	215.156	215.438	0.998688	0.9917
65	214.26	214.387	214.461	0.999655	0.999408
66	214.1	213.22	213.498	0.998697	1.00413
67	213.54	NA	NA	0.998559	NA
68	213.69	NA	NA	0.999195	NA
69	211.82	NA	NA	1.00061	NA
70	212.82	NA	NA	1.00362	NA
71	212.36	NA	NA	1.00552	NA
72	212.7	NA	NA	1.0055	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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code