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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Mon, 23 Nov 2015 18:16:11 +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/Nov/23/t144830270732dqfx42emj75v1.htm/, Retrieved Sat, 18 May 2024 23:30:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283950, Retrieved Sat, 18 May 2024 23:30:31 +0000

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-       [Classical Decomposition] [] [2015-11-23 18:16:11] [9f6f73fad9c1c9780dcaf60f96d9a566] [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	'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283950&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283950&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283950&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	1.4718	NA	NA	0.995934	NA
2	1.4748	NA	NA	0.994258	NA
3	1.5527	NA	NA	0.998637	NA
4	1.5751	NA	NA	1.00497	NA
5	1.5557	NA	NA	0.993242	NA
6	1.5553	NA	NA	0.991847	NA
7	1.577	1.46912	1.46443	1.0032	1.07344
8	1.4975	1.45618	1.45009	1.0042	1.02838
9	1.4369	1.43682	1.43159	1.00366	1.00005
10	1.3322	1.42582	1.4106	1.01079	0.934341
11	1.2732	1.38931	1.39198	0.99808	0.916429
12	1.3449	1.37926	1.37763	1.00118	0.975087
13	1.3239	1.35867	1.36422	0.995934	0.974409
14	1.2785	1.34649	1.35426	0.994258	0.949509
15	1.305	1.35028	1.35212	0.998637	0.966468
16	1.319	1.3659	1.35915	1.00497	0.965661
17	1.365	1.36518	1.37447	0.993242	0.99987
18	1.4016	1.37709	1.38841	0.991847	1.0178
19	1.4088	1.40204	1.39757	1.0032	1.00482
20	1.4268	1.41153	1.40563	1.0042	1.01081
21	1.4562	1.41671	1.41155	1.00366	1.02788
22	1.4816	1.42987	1.41461	1.01079	1.03618
23	1.4914	1.40828	1.41099	0.99808	1.05902
24	1.4614	1.40059	1.39894	1.00118	1.04341
25	1.4272	1.38028	1.38592	0.995934	1.03399
26	1.3686	1.36681	1.3747	0.994258	1.00131
27	1.3569	1.36089	1.36275	0.998637	0.99707
28	1.3406	1.35941	1.35269	1.00497	0.986161
29	1.2565	1.33456	1.34365	0.993242	0.941505
30	1.2209	1.32175	1.33262	0.991847	0.923698
31	1.277	1.32724	1.32301	1.0032	0.962146
32	1.2894	1.3246	1.31905	1.0042	0.973429
33	1.3067	1.32552	1.32069	1.00366	0.985801
34	1.3898	1.34112	1.3268	1.01079	1.0363
35	1.3661	1.33598	1.33855	0.99808	1.02255
36	1.322	1.35667	1.35506	1.00118	0.974446
37	1.336	1.3648	1.37037	0.995934	0.978901
38	1.3649	1.37469	1.38263	0.994258	0.992878
39	1.3999	1.3897	1.3916	0.998637	1.00734
40	1.4442	1.40065	1.39372	1.00497	1.03109
41	1.4349	1.38308	1.39249	0.993242	1.03747
42	1.4388	1.38053	1.39188	0.991847	1.04221
43	1.4264	1.39426	1.38981	1.0032	1.02305
44	1.4343	1.39197	1.38615	1.0042	1.03041
45	1.377	1.3861	1.38105	1.00366	0.993435
46	1.3706	1.3872	1.37239	1.01079	0.988033
47	1.3556	1.35795	1.36056	0.99808	0.998273
48	1.3179	1.34789	1.3463	1.00118	0.977747
49	1.2905	1.3249	1.33031	0.995934	0.974036
50	1.3224	1.30643	1.31398	0.994258	1.01222
51	1.3201	1.3003	1.30207	0.998637	1.01523
52	1.3162	1.30165	1.29522	1.00497	1.01118
53	1.2789	1.28042	1.28913	0.993242	0.998812
54	1.2526	1.27537	1.28585	0.991847	0.982149
55	1.2288	1.29131	1.2872	1.0032	0.951588
56	1.24	1.29477	1.28935	1.0042	0.957698
57	1.2856	1.29364	1.28893	1.00366	0.993783
58	1.2974	1.30127	1.28738	1.01079	0.997028
59	1.2828	1.28514	1.28761	0.99808	0.998179
60	1.3119	1.29271	1.29118	1.00118	1.01485
61	1.3288	1.29197	1.29724	0.995934	1.02851
62	1.3359	1.29684	1.30433	0.994258	1.03012
63	1.2964	1.30839	1.31018	0.998637	0.990837
64	1.3026	1.32151	1.31498	1.00497	0.985688
65	1.2982	1.31158	1.3205	0.993242	0.989799
66	1.3189	1.3149	1.32571	0.991847	1.00304
67	1.308	1.33375	1.32949	1.0032	0.980696
68	1.331	1.33768	1.33208	1.0042	0.995009
69	1.3348	1.34179	1.3369	1.00366	0.994788
70	1.3635	1.35826	1.34376	1.01079	1.00386
71	1.3493	1.34757	1.35016	0.99808	1.00129
72	1.3704	1.35657	1.35496	1.00118	1.0102
73	1.361	1.35303	1.35855	0.995934	1.00589
74	1.3658	1.35268	1.36049	0.994258	1.0097
75	1.3823	1.3568	1.35865	0.998637	1.01879
76	1.3812	1.35951	1.35278	1.00497	1.01596
77	1.3732	1.33543	1.34452	0.993242	1.02828
78	1.3592	1.32367	1.33455	0.991847	1.02685
79	1.3539	NA	NA	1.0032	NA
80	1.3316	NA	NA	1.0042	NA
81	1.2901	NA	NA	1.00366	NA
82	1.2673	NA	NA	1.01079	NA
83	1.2472	NA	NA	0.99808	NA
84	1.2331	NA	NA	1.00118	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 1.4718 & NA & NA & 0.995934 & NA \tabularnewline
2 & 1.4748 & NA & NA & 0.994258 & NA \tabularnewline
3 & 1.5527 & NA & NA & 0.998637 & NA \tabularnewline
4 & 1.5751 & NA & NA & 1.00497 & NA \tabularnewline
5 & 1.5557 & NA & NA & 0.993242 & NA \tabularnewline
6 & 1.5553 & NA & NA & 0.991847 & NA \tabularnewline
7 & 1.577 & 1.46912 & 1.46443 & 1.0032 & 1.07344 \tabularnewline
8 & 1.4975 & 1.45618 & 1.45009 & 1.0042 & 1.02838 \tabularnewline
9 & 1.4369 & 1.43682 & 1.43159 & 1.00366 & 1.00005 \tabularnewline
10 & 1.3322 & 1.42582 & 1.4106 & 1.01079 & 0.934341 \tabularnewline
11 & 1.2732 & 1.38931 & 1.39198 & 0.99808 & 0.916429 \tabularnewline
12 & 1.3449 & 1.37926 & 1.37763 & 1.00118 & 0.975087 \tabularnewline
13 & 1.3239 & 1.35867 & 1.36422 & 0.995934 & 0.974409 \tabularnewline
14 & 1.2785 & 1.34649 & 1.35426 & 0.994258 & 0.949509 \tabularnewline
15 & 1.305 & 1.35028 & 1.35212 & 0.998637 & 0.966468 \tabularnewline
16 & 1.319 & 1.3659 & 1.35915 & 1.00497 & 0.965661 \tabularnewline
17 & 1.365 & 1.36518 & 1.37447 & 0.993242 & 0.99987 \tabularnewline
18 & 1.4016 & 1.37709 & 1.38841 & 0.991847 & 1.0178 \tabularnewline
19 & 1.4088 & 1.40204 & 1.39757 & 1.0032 & 1.00482 \tabularnewline
20 & 1.4268 & 1.41153 & 1.40563 & 1.0042 & 1.01081 \tabularnewline
21 & 1.4562 & 1.41671 & 1.41155 & 1.00366 & 1.02788 \tabularnewline
22 & 1.4816 & 1.42987 & 1.41461 & 1.01079 & 1.03618 \tabularnewline
23 & 1.4914 & 1.40828 & 1.41099 & 0.99808 & 1.05902 \tabularnewline
24 & 1.4614 & 1.40059 & 1.39894 & 1.00118 & 1.04341 \tabularnewline
25 & 1.4272 & 1.38028 & 1.38592 & 0.995934 & 1.03399 \tabularnewline
26 & 1.3686 & 1.36681 & 1.3747 & 0.994258 & 1.00131 \tabularnewline
27 & 1.3569 & 1.36089 & 1.36275 & 0.998637 & 0.99707 \tabularnewline
28 & 1.3406 & 1.35941 & 1.35269 & 1.00497 & 0.986161 \tabularnewline
29 & 1.2565 & 1.33456 & 1.34365 & 0.993242 & 0.941505 \tabularnewline
30 & 1.2209 & 1.32175 & 1.33262 & 0.991847 & 0.923698 \tabularnewline
31 & 1.277 & 1.32724 & 1.32301 & 1.0032 & 0.962146 \tabularnewline
32 & 1.2894 & 1.3246 & 1.31905 & 1.0042 & 0.973429 \tabularnewline
33 & 1.3067 & 1.32552 & 1.32069 & 1.00366 & 0.985801 \tabularnewline
34 & 1.3898 & 1.34112 & 1.3268 & 1.01079 & 1.0363 \tabularnewline
35 & 1.3661 & 1.33598 & 1.33855 & 0.99808 & 1.02255 \tabularnewline
36 & 1.322 & 1.35667 & 1.35506 & 1.00118 & 0.974446 \tabularnewline
37 & 1.336 & 1.3648 & 1.37037 & 0.995934 & 0.978901 \tabularnewline
38 & 1.3649 & 1.37469 & 1.38263 & 0.994258 & 0.992878 \tabularnewline
39 & 1.3999 & 1.3897 & 1.3916 & 0.998637 & 1.00734 \tabularnewline
40 & 1.4442 & 1.40065 & 1.39372 & 1.00497 & 1.03109 \tabularnewline
41 & 1.4349 & 1.38308 & 1.39249 & 0.993242 & 1.03747 \tabularnewline
42 & 1.4388 & 1.38053 & 1.39188 & 0.991847 & 1.04221 \tabularnewline
43 & 1.4264 & 1.39426 & 1.38981 & 1.0032 & 1.02305 \tabularnewline
44 & 1.4343 & 1.39197 & 1.38615 & 1.0042 & 1.03041 \tabularnewline
45 & 1.377 & 1.3861 & 1.38105 & 1.00366 & 0.993435 \tabularnewline
46 & 1.3706 & 1.3872 & 1.37239 & 1.01079 & 0.988033 \tabularnewline
47 & 1.3556 & 1.35795 & 1.36056 & 0.99808 & 0.998273 \tabularnewline
48 & 1.3179 & 1.34789 & 1.3463 & 1.00118 & 0.977747 \tabularnewline
49 & 1.2905 & 1.3249 & 1.33031 & 0.995934 & 0.974036 \tabularnewline
50 & 1.3224 & 1.30643 & 1.31398 & 0.994258 & 1.01222 \tabularnewline
51 & 1.3201 & 1.3003 & 1.30207 & 0.998637 & 1.01523 \tabularnewline
52 & 1.3162 & 1.30165 & 1.29522 & 1.00497 & 1.01118 \tabularnewline
53 & 1.2789 & 1.28042 & 1.28913 & 0.993242 & 0.998812 \tabularnewline
54 & 1.2526 & 1.27537 & 1.28585 & 0.991847 & 0.982149 \tabularnewline
55 & 1.2288 & 1.29131 & 1.2872 & 1.0032 & 0.951588 \tabularnewline
56 & 1.24 & 1.29477 & 1.28935 & 1.0042 & 0.957698 \tabularnewline
57 & 1.2856 & 1.29364 & 1.28893 & 1.00366 & 0.993783 \tabularnewline
58 & 1.2974 & 1.30127 & 1.28738 & 1.01079 & 0.997028 \tabularnewline
59 & 1.2828 & 1.28514 & 1.28761 & 0.99808 & 0.998179 \tabularnewline
60 & 1.3119 & 1.29271 & 1.29118 & 1.00118 & 1.01485 \tabularnewline
61 & 1.3288 & 1.29197 & 1.29724 & 0.995934 & 1.02851 \tabularnewline
62 & 1.3359 & 1.29684 & 1.30433 & 0.994258 & 1.03012 \tabularnewline
63 & 1.2964 & 1.30839 & 1.31018 & 0.998637 & 0.990837 \tabularnewline
64 & 1.3026 & 1.32151 & 1.31498 & 1.00497 & 0.985688 \tabularnewline
65 & 1.2982 & 1.31158 & 1.3205 & 0.993242 & 0.989799 \tabularnewline
66 & 1.3189 & 1.3149 & 1.32571 & 0.991847 & 1.00304 \tabularnewline
67 & 1.308 & 1.33375 & 1.32949 & 1.0032 & 0.980696 \tabularnewline
68 & 1.331 & 1.33768 & 1.33208 & 1.0042 & 0.995009 \tabularnewline
69 & 1.3348 & 1.34179 & 1.3369 & 1.00366 & 0.994788 \tabularnewline
70 & 1.3635 & 1.35826 & 1.34376 & 1.01079 & 1.00386 \tabularnewline
71 & 1.3493 & 1.34757 & 1.35016 & 0.99808 & 1.00129 \tabularnewline
72 & 1.3704 & 1.35657 & 1.35496 & 1.00118 & 1.0102 \tabularnewline
73 & 1.361 & 1.35303 & 1.35855 & 0.995934 & 1.00589 \tabularnewline
74 & 1.3658 & 1.35268 & 1.36049 & 0.994258 & 1.0097 \tabularnewline
75 & 1.3823 & 1.3568 & 1.35865 & 0.998637 & 1.01879 \tabularnewline
76 & 1.3812 & 1.35951 & 1.35278 & 1.00497 & 1.01596 \tabularnewline
77 & 1.3732 & 1.33543 & 1.34452 & 0.993242 & 1.02828 \tabularnewline
78 & 1.3592 & 1.32367 & 1.33455 & 0.991847 & 1.02685 \tabularnewline
79 & 1.3539 & NA & NA & 1.0032 & NA \tabularnewline
80 & 1.3316 & NA & NA & 1.0042 & NA \tabularnewline
81 & 1.2901 & NA & NA & 1.00366 & NA \tabularnewline
82 & 1.2673 & NA & NA & 1.01079 & NA \tabularnewline
83 & 1.2472 & NA & NA & 0.99808 & NA \tabularnewline
84 & 1.2331 & NA & NA & 1.00118 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283950&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]1.4718[/C][C]NA[/C][C]NA[/C][C]0.995934[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1.4748[/C][C]NA[/C][C]NA[/C][C]0.994258[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]1.5527[/C][C]NA[/C][C]NA[/C][C]0.998637[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]1.5751[/C][C]NA[/C][C]NA[/C][C]1.00497[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]1.5557[/C][C]NA[/C][C]NA[/C][C]0.993242[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]1.5553[/C][C]NA[/C][C]NA[/C][C]0.991847[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]1.577[/C][C]1.46912[/C][C]1.46443[/C][C]1.0032[/C][C]1.07344[/C][/ROW]
[ROW][C]8[/C][C]1.4975[/C][C]1.45618[/C][C]1.45009[/C][C]1.0042[/C][C]1.02838[/C][/ROW]
[ROW][C]9[/C][C]1.4369[/C][C]1.43682[/C][C]1.43159[/C][C]1.00366[/C][C]1.00005[/C][/ROW]
[ROW][C]10[/C][C]1.3322[/C][C]1.42582[/C][C]1.4106[/C][C]1.01079[/C][C]0.934341[/C][/ROW]
[ROW][C]11[/C][C]1.2732[/C][C]1.38931[/C][C]1.39198[/C][C]0.99808[/C][C]0.916429[/C][/ROW]
[ROW][C]12[/C][C]1.3449[/C][C]1.37926[/C][C]1.37763[/C][C]1.00118[/C][C]0.975087[/C][/ROW]
[ROW][C]13[/C][C]1.3239[/C][C]1.35867[/C][C]1.36422[/C][C]0.995934[/C][C]0.974409[/C][/ROW]
[ROW][C]14[/C][C]1.2785[/C][C]1.34649[/C][C]1.35426[/C][C]0.994258[/C][C]0.949509[/C][/ROW]
[ROW][C]15[/C][C]1.305[/C][C]1.35028[/C][C]1.35212[/C][C]0.998637[/C][C]0.966468[/C][/ROW]
[ROW][C]16[/C][C]1.319[/C][C]1.3659[/C][C]1.35915[/C][C]1.00497[/C][C]0.965661[/C][/ROW]
[ROW][C]17[/C][C]1.365[/C][C]1.36518[/C][C]1.37447[/C][C]0.993242[/C][C]0.99987[/C][/ROW]
[ROW][C]18[/C][C]1.4016[/C][C]1.37709[/C][C]1.38841[/C][C]0.991847[/C][C]1.0178[/C][/ROW]
[ROW][C]19[/C][C]1.4088[/C][C]1.40204[/C][C]1.39757[/C][C]1.0032[/C][C]1.00482[/C][/ROW]
[ROW][C]20[/C][C]1.4268[/C][C]1.41153[/C][C]1.40563[/C][C]1.0042[/C][C]1.01081[/C][/ROW]
[ROW][C]21[/C][C]1.4562[/C][C]1.41671[/C][C]1.41155[/C][C]1.00366[/C][C]1.02788[/C][/ROW]
[ROW][C]22[/C][C]1.4816[/C][C]1.42987[/C][C]1.41461[/C][C]1.01079[/C][C]1.03618[/C][/ROW]
[ROW][C]23[/C][C]1.4914[/C][C]1.40828[/C][C]1.41099[/C][C]0.99808[/C][C]1.05902[/C][/ROW]
[ROW][C]24[/C][C]1.4614[/C][C]1.40059[/C][C]1.39894[/C][C]1.00118[/C][C]1.04341[/C][/ROW]
[ROW][C]25[/C][C]1.4272[/C][C]1.38028[/C][C]1.38592[/C][C]0.995934[/C][C]1.03399[/C][/ROW]
[ROW][C]26[/C][C]1.3686[/C][C]1.36681[/C][C]1.3747[/C][C]0.994258[/C][C]1.00131[/C][/ROW]
[ROW][C]27[/C][C]1.3569[/C][C]1.36089[/C][C]1.36275[/C][C]0.998637[/C][C]0.99707[/C][/ROW]
[ROW][C]28[/C][C]1.3406[/C][C]1.35941[/C][C]1.35269[/C][C]1.00497[/C][C]0.986161[/C][/ROW]
[ROW][C]29[/C][C]1.2565[/C][C]1.33456[/C][C]1.34365[/C][C]0.993242[/C][C]0.941505[/C][/ROW]
[ROW][C]30[/C][C]1.2209[/C][C]1.32175[/C][C]1.33262[/C][C]0.991847[/C][C]0.923698[/C][/ROW]
[ROW][C]31[/C][C]1.277[/C][C]1.32724[/C][C]1.32301[/C][C]1.0032[/C][C]0.962146[/C][/ROW]
[ROW][C]32[/C][C]1.2894[/C][C]1.3246[/C][C]1.31905[/C][C]1.0042[/C][C]0.973429[/C][/ROW]
[ROW][C]33[/C][C]1.3067[/C][C]1.32552[/C][C]1.32069[/C][C]1.00366[/C][C]0.985801[/C][/ROW]
[ROW][C]34[/C][C]1.3898[/C][C]1.34112[/C][C]1.3268[/C][C]1.01079[/C][C]1.0363[/C][/ROW]
[ROW][C]35[/C][C]1.3661[/C][C]1.33598[/C][C]1.33855[/C][C]0.99808[/C][C]1.02255[/C][/ROW]
[ROW][C]36[/C][C]1.322[/C][C]1.35667[/C][C]1.35506[/C][C]1.00118[/C][C]0.974446[/C][/ROW]
[ROW][C]37[/C][C]1.336[/C][C]1.3648[/C][C]1.37037[/C][C]0.995934[/C][C]0.978901[/C][/ROW]
[ROW][C]38[/C][C]1.3649[/C][C]1.37469[/C][C]1.38263[/C][C]0.994258[/C][C]0.992878[/C][/ROW]
[ROW][C]39[/C][C]1.3999[/C][C]1.3897[/C][C]1.3916[/C][C]0.998637[/C][C]1.00734[/C][/ROW]
[ROW][C]40[/C][C]1.4442[/C][C]1.40065[/C][C]1.39372[/C][C]1.00497[/C][C]1.03109[/C][/ROW]
[ROW][C]41[/C][C]1.4349[/C][C]1.38308[/C][C]1.39249[/C][C]0.993242[/C][C]1.03747[/C][/ROW]
[ROW][C]42[/C][C]1.4388[/C][C]1.38053[/C][C]1.39188[/C][C]0.991847[/C][C]1.04221[/C][/ROW]
[ROW][C]43[/C][C]1.4264[/C][C]1.39426[/C][C]1.38981[/C][C]1.0032[/C][C]1.02305[/C][/ROW]
[ROW][C]44[/C][C]1.4343[/C][C]1.39197[/C][C]1.38615[/C][C]1.0042[/C][C]1.03041[/C][/ROW]
[ROW][C]45[/C][C]1.377[/C][C]1.3861[/C][C]1.38105[/C][C]1.00366[/C][C]0.993435[/C][/ROW]
[ROW][C]46[/C][C]1.3706[/C][C]1.3872[/C][C]1.37239[/C][C]1.01079[/C][C]0.988033[/C][/ROW]
[ROW][C]47[/C][C]1.3556[/C][C]1.35795[/C][C]1.36056[/C][C]0.99808[/C][C]0.998273[/C][/ROW]
[ROW][C]48[/C][C]1.3179[/C][C]1.34789[/C][C]1.3463[/C][C]1.00118[/C][C]0.977747[/C][/ROW]
[ROW][C]49[/C][C]1.2905[/C][C]1.3249[/C][C]1.33031[/C][C]0.995934[/C][C]0.974036[/C][/ROW]
[ROW][C]50[/C][C]1.3224[/C][C]1.30643[/C][C]1.31398[/C][C]0.994258[/C][C]1.01222[/C][/ROW]
[ROW][C]51[/C][C]1.3201[/C][C]1.3003[/C][C]1.30207[/C][C]0.998637[/C][C]1.01523[/C][/ROW]
[ROW][C]52[/C][C]1.3162[/C][C]1.30165[/C][C]1.29522[/C][C]1.00497[/C][C]1.01118[/C][/ROW]
[ROW][C]53[/C][C]1.2789[/C][C]1.28042[/C][C]1.28913[/C][C]0.993242[/C][C]0.998812[/C][/ROW]
[ROW][C]54[/C][C]1.2526[/C][C]1.27537[/C][C]1.28585[/C][C]0.991847[/C][C]0.982149[/C][/ROW]
[ROW][C]55[/C][C]1.2288[/C][C]1.29131[/C][C]1.2872[/C][C]1.0032[/C][C]0.951588[/C][/ROW]
[ROW][C]56[/C][C]1.24[/C][C]1.29477[/C][C]1.28935[/C][C]1.0042[/C][C]0.957698[/C][/ROW]
[ROW][C]57[/C][C]1.2856[/C][C]1.29364[/C][C]1.28893[/C][C]1.00366[/C][C]0.993783[/C][/ROW]
[ROW][C]58[/C][C]1.2974[/C][C]1.30127[/C][C]1.28738[/C][C]1.01079[/C][C]0.997028[/C][/ROW]
[ROW][C]59[/C][C]1.2828[/C][C]1.28514[/C][C]1.28761[/C][C]0.99808[/C][C]0.998179[/C][/ROW]
[ROW][C]60[/C][C]1.3119[/C][C]1.29271[/C][C]1.29118[/C][C]1.00118[/C][C]1.01485[/C][/ROW]
[ROW][C]61[/C][C]1.3288[/C][C]1.29197[/C][C]1.29724[/C][C]0.995934[/C][C]1.02851[/C][/ROW]
[ROW][C]62[/C][C]1.3359[/C][C]1.29684[/C][C]1.30433[/C][C]0.994258[/C][C]1.03012[/C][/ROW]
[ROW][C]63[/C][C]1.2964[/C][C]1.30839[/C][C]1.31018[/C][C]0.998637[/C][C]0.990837[/C][/ROW]
[ROW][C]64[/C][C]1.3026[/C][C]1.32151[/C][C]1.31498[/C][C]1.00497[/C][C]0.985688[/C][/ROW]
[ROW][C]65[/C][C]1.2982[/C][C]1.31158[/C][C]1.3205[/C][C]0.993242[/C][C]0.989799[/C][/ROW]
[ROW][C]66[/C][C]1.3189[/C][C]1.3149[/C][C]1.32571[/C][C]0.991847[/C][C]1.00304[/C][/ROW]
[ROW][C]67[/C][C]1.308[/C][C]1.33375[/C][C]1.32949[/C][C]1.0032[/C][C]0.980696[/C][/ROW]
[ROW][C]68[/C][C]1.331[/C][C]1.33768[/C][C]1.33208[/C][C]1.0042[/C][C]0.995009[/C][/ROW]
[ROW][C]69[/C][C]1.3348[/C][C]1.34179[/C][C]1.3369[/C][C]1.00366[/C][C]0.994788[/C][/ROW]
[ROW][C]70[/C][C]1.3635[/C][C]1.35826[/C][C]1.34376[/C][C]1.01079[/C][C]1.00386[/C][/ROW]
[ROW][C]71[/C][C]1.3493[/C][C]1.34757[/C][C]1.35016[/C][C]0.99808[/C][C]1.00129[/C][/ROW]
[ROW][C]72[/C][C]1.3704[/C][C]1.35657[/C][C]1.35496[/C][C]1.00118[/C][C]1.0102[/C][/ROW]
[ROW][C]73[/C][C]1.361[/C][C]1.35303[/C][C]1.35855[/C][C]0.995934[/C][C]1.00589[/C][/ROW]
[ROW][C]74[/C][C]1.3658[/C][C]1.35268[/C][C]1.36049[/C][C]0.994258[/C][C]1.0097[/C][/ROW]
[ROW][C]75[/C][C]1.3823[/C][C]1.3568[/C][C]1.35865[/C][C]0.998637[/C][C]1.01879[/C][/ROW]
[ROW][C]76[/C][C]1.3812[/C][C]1.35951[/C][C]1.35278[/C][C]1.00497[/C][C]1.01596[/C][/ROW]
[ROW][C]77[/C][C]1.3732[/C][C]1.33543[/C][C]1.34452[/C][C]0.993242[/C][C]1.02828[/C][/ROW]
[ROW][C]78[/C][C]1.3592[/C][C]1.32367[/C][C]1.33455[/C][C]0.991847[/C][C]1.02685[/C][/ROW]
[ROW][C]79[/C][C]1.3539[/C][C]NA[/C][C]NA[/C][C]1.0032[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]1.3316[/C][C]NA[/C][C]NA[/C][C]1.0042[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]1.2901[/C][C]NA[/C][C]NA[/C][C]1.00366[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]1.2673[/C][C]NA[/C][C]NA[/C][C]1.01079[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]1.2472[/C][C]NA[/C][C]NA[/C][C]0.99808[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]1.2331[/C][C]NA[/C][C]NA[/C][C]1.00118[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283950&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283950&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	1.4718	NA	NA	0.995934	NA
2	1.4748	NA	NA	0.994258	NA
3	1.5527	NA	NA	0.998637	NA
4	1.5751	NA	NA	1.00497	NA
5	1.5557	NA	NA	0.993242	NA
6	1.5553	NA	NA	0.991847	NA
7	1.577	1.46912	1.46443	1.0032	1.07344
8	1.4975	1.45618	1.45009	1.0042	1.02838
9	1.4369	1.43682	1.43159	1.00366	1.00005
10	1.3322	1.42582	1.4106	1.01079	0.934341
11	1.2732	1.38931	1.39198	0.99808	0.916429
12	1.3449	1.37926	1.37763	1.00118	0.975087
13	1.3239	1.35867	1.36422	0.995934	0.974409
14	1.2785	1.34649	1.35426	0.994258	0.949509
15	1.305	1.35028	1.35212	0.998637	0.966468
16	1.319	1.3659	1.35915	1.00497	0.965661
17	1.365	1.36518	1.37447	0.993242	0.99987
18	1.4016	1.37709	1.38841	0.991847	1.0178
19	1.4088	1.40204	1.39757	1.0032	1.00482
20	1.4268	1.41153	1.40563	1.0042	1.01081
21	1.4562	1.41671	1.41155	1.00366	1.02788
22	1.4816	1.42987	1.41461	1.01079	1.03618
23	1.4914	1.40828	1.41099	0.99808	1.05902
24	1.4614	1.40059	1.39894	1.00118	1.04341
25	1.4272	1.38028	1.38592	0.995934	1.03399
26	1.3686	1.36681	1.3747	0.994258	1.00131
27	1.3569	1.36089	1.36275	0.998637	0.99707
28	1.3406	1.35941	1.35269	1.00497	0.986161
29	1.2565	1.33456	1.34365	0.993242	0.941505
30	1.2209	1.32175	1.33262	0.991847	0.923698
31	1.277	1.32724	1.32301	1.0032	0.962146
32	1.2894	1.3246	1.31905	1.0042	0.973429
33	1.3067	1.32552	1.32069	1.00366	0.985801
34	1.3898	1.34112	1.3268	1.01079	1.0363
35	1.3661	1.33598	1.33855	0.99808	1.02255
36	1.322	1.35667	1.35506	1.00118	0.974446
37	1.336	1.3648	1.37037	0.995934	0.978901
38	1.3649	1.37469	1.38263	0.994258	0.992878
39	1.3999	1.3897	1.3916	0.998637	1.00734
40	1.4442	1.40065	1.39372	1.00497	1.03109
41	1.4349	1.38308	1.39249	0.993242	1.03747
42	1.4388	1.38053	1.39188	0.991847	1.04221
43	1.4264	1.39426	1.38981	1.0032	1.02305
44	1.4343	1.39197	1.38615	1.0042	1.03041
45	1.377	1.3861	1.38105	1.00366	0.993435
46	1.3706	1.3872	1.37239	1.01079	0.988033
47	1.3556	1.35795	1.36056	0.99808	0.998273
48	1.3179	1.34789	1.3463	1.00118	0.977747
49	1.2905	1.3249	1.33031	0.995934	0.974036
50	1.3224	1.30643	1.31398	0.994258	1.01222
51	1.3201	1.3003	1.30207	0.998637	1.01523
52	1.3162	1.30165	1.29522	1.00497	1.01118
53	1.2789	1.28042	1.28913	0.993242	0.998812
54	1.2526	1.27537	1.28585	0.991847	0.982149
55	1.2288	1.29131	1.2872	1.0032	0.951588
56	1.24	1.29477	1.28935	1.0042	0.957698
57	1.2856	1.29364	1.28893	1.00366	0.993783
58	1.2974	1.30127	1.28738	1.01079	0.997028
59	1.2828	1.28514	1.28761	0.99808	0.998179
60	1.3119	1.29271	1.29118	1.00118	1.01485
61	1.3288	1.29197	1.29724	0.995934	1.02851
62	1.3359	1.29684	1.30433	0.994258	1.03012
63	1.2964	1.30839	1.31018	0.998637	0.990837
64	1.3026	1.32151	1.31498	1.00497	0.985688
65	1.2982	1.31158	1.3205	0.993242	0.989799
66	1.3189	1.3149	1.32571	0.991847	1.00304
67	1.308	1.33375	1.32949	1.0032	0.980696
68	1.331	1.33768	1.33208	1.0042	0.995009
69	1.3348	1.34179	1.3369	1.00366	0.994788
70	1.3635	1.35826	1.34376	1.01079	1.00386
71	1.3493	1.34757	1.35016	0.99808	1.00129
72	1.3704	1.35657	1.35496	1.00118	1.0102
73	1.361	1.35303	1.35855	0.995934	1.00589
74	1.3658	1.35268	1.36049	0.994258	1.0097
75	1.3823	1.3568	1.35865	0.998637	1.01879
76	1.3812	1.35951	1.35278	1.00497	1.01596
77	1.3732	1.33543	1.34452	0.993242	1.02828
78	1.3592	1.32367	1.33455	0.991847	1.02685
79	1.3539	NA	NA	1.0032	NA
80	1.3316	NA	NA	1.0042	NA
81	1.2901	NA	NA	1.00366	NA
82	1.2673	NA	NA	1.01079	NA
83	1.2472	NA	NA	0.99808	NA
84	1.2331	NA	NA	1.00118	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