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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Tue, 26 May 2015 21:23:00 +0100

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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/May/26/t1432672062zx5c9kwul9yzt0i.htm/, Retrieved Tue, 30 Apr 2024 16:44:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279434, Retrieved Tue, 30 Apr 2024 16:44:28 +0000

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-     [Classical Decomposition] [] [2015-04-02 18:52:13] [1f4ce71c1a7ae502d60225fda197c28f]
-   PD    [Classical Decomposition] [] [2015-05-26 20:23:00] [c6da619eabbd864125b02146bc2bbd84] [Current]
- RM D      [Exponential Smoothing] [] [2015-05-26 20:43:05] [1f4ce71c1a7ae502d60225fda197c28f] 

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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	'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279434&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279434&T=0

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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	'Gertrude Mary Cox' @ cox.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	1.5469	NA	NA	-0.00486037	NA
2	1.5501	NA	NA	-0.000738498	NA
3	1.5494	NA	NA	-0.00363225	NA
4	1.5475	NA	NA	0.00561567	NA
5	1.5449	NA	NA	0.00656306	NA
6	1.5391	NA	NA	-0.00212079	NA
7	1.5578	1.54549	1.54843	-0.00294319	0.012314
8	1.5528	1.54046	1.54886	-0.00840569	0.0123432
9	1.5496	1.54901	1.55001	-0.00100621	0.000593707
10	1.549	1.55668	1.55197	0.00470629	-0.00767713
11	1.5449	1.55724	1.55359	0.00365369	-0.0123412
12	1.5479	1.55811	1.55494	0.00316827	-0.0102099
13	1.5494	1.55141	1.55627	-0.00486037	-0.00201046
14	1.558	1.55702	1.55775	-0.000738498	0.000984332
15	1.5691	1.55659	1.56022	-0.00363225	0.0125114
16	1.5748	1.56897	1.56336	0.00561567	0.005826
17	1.5564	1.57359	1.56703	0.00656306	-0.0171922
18	1.5601	1.56892	1.57104	-0.00212079	-0.00882088
19	1.5687	1.57289	1.57584	-0.00294319	-0.00419431
20	1.5775	1.57282	1.58122	-0.00840569	0.00468069
21	1.5841	1.58466	1.58566	-0.00100621	-0.000556293
22	1.5898	1.59479	1.59008	0.00470629	-0.00498546
23	1.5922	1.60027	1.59662	0.00365369	-0.00807036
24	1.5969	1.60763	1.60447	0.00316827	-0.0107349
25	1.6155	1.6072	1.61206	-0.00486037	0.00830204
26	1.6212	1.61752	1.61826	-0.000738498	0.00368016
27	1.6124	1.6198	1.62343	-0.00363225	-0.00740109
28	1.6375	1.63506	1.62944	0.00561567	0.00244266
29	1.6506	1.64172	1.63515	0.00656306	0.00888277
30	1.6543	1.63798	1.6401	-0.00212079	0.016325
31	1.6567	1.63995	1.64289	-0.00294319	0.0167515
32	1.6383	1.63414	1.64254	-0.00840569	0.00416402
33	1.6475	1.6393	1.64031	-0.00100621	0.00819787
34	1.6706	1.64162	1.63691	0.00470629	0.0289812
35	1.6485	1.63777	1.63412	0.00365369	0.0107255
36	1.6592	1.63453	1.63136	0.00316827	0.0246734
37	1.6203	1.62326	1.62812	-0.00486037	-0.00295629
38	1.608	1.62511	1.62585	-0.000738498	-0.0171073
39	1.572	1.61928	1.62291	-0.00363225	-0.0472803
40	1.5964	1.62001	1.61439	0.00561567	-0.0236073
41	1.6247	1.60914	1.60258	0.00656306	0.0155578
42	1.6139	1.58995	1.59207	-0.00212079	0.02395
43	1.6193	1.57885	1.58179	-0.00294319	0.0404515
44	1.6212	1.5632	1.57161	-0.00840569	0.0579974
45	1.5942	1.56305	1.56405	-0.00100621	0.031152
46	1.5194	1.5627	1.558	0.00470629	-0.0433021
47	1.5162	1.55354	1.54989	0.00365369	-0.0373412
48	1.5393	1.54422	1.54105	0.00316827	-0.00492244
49	1.4935	1.52794	1.5328	-0.00486037	-0.0344355
50	1.4904	1.52386	1.5246	-0.000738498	-0.0334615
51	1.5083	1.51359	1.51722	-0.00363225	-0.00529275
52	1.5147	1.5193	1.51368	0.00561567	-0.004599
53	1.5118	1.51978	1.51321	0.00656306	-0.00797556
54	1.5148	1.5093	1.51142	-0.00212079	0.00549996
55	1.5202	1.50622	1.50916	-0.00294319	0.0139849
56	1.5236	1.49907	1.50748	-0.00840569	0.0245265
57	1.5148	1.503	1.504	-0.00100621	0.011802
58	1.5138	1.50283	1.49812	0.00470629	0.0109687
59	1.5105	1.4945	1.49085	0.00365369	0.0160005
60	1.502	1.48436	1.48119	0.00316827	0.0176442
61	1.4765	1.46331	1.46818	-0.00486037	0.0131854
62	1.4671	1.45258	1.45332	-0.000738498	0.0145177
63	1.4482	1.43351	1.43715	-0.00363225	0.0146864
64	1.4337	1.42716	1.42154	0.00561567	0.00654266
65	1.4181	1.41415	1.40759	0.00656306	0.00394944
66	1.3767	1.38933	1.39145	-0.00212079	-0.0126334
67	1.346	1.37103	1.37397	-0.00294319	-0.0250318
68	1.3413	1.35022	1.35863	-0.00840569	-0.00892348
69	1.3089	1.34382	1.34483	-0.00100621	-0.034923
70	1.3452	1.33714	1.33243	0.00470629	0.00806037
71	1.3442	1.32357	1.31992	0.00365369	0.0206296
72	1.2811	1.30926	1.30609	0.00316827	-0.0281558
73	1.2779	1.28719	1.29205	-0.00486037	-0.00928963
74	1.2974	1.27504	1.27578	-0.000738498	0.0223552
75	1.2867	1.25843	1.26206	-0.00363225	0.0282739
76	1.2977	1.25834	1.25272	0.00561567	0.0393635
77	1.2537	1.24973	1.24317	0.00656306	0.0039661
78	1.2092	1.23409	1.23621	-0.00212079	-0.0248917
79	1.1766	1.22824	1.23119	-0.00294319	-0.0516443
80	1.1203	1.21622	1.22463	-0.00840569	-0.0959235
81	1.2005	1.2165	1.21751	-0.00100621	-0.0160021
82	1.2295	1.21488	1.21018	0.00470629	0.0146187
83	1.2307	1.20767	1.20401	0.00365369	0.0230338
84	1.2276	1.20466	1.20149	0.00316827	0.0229442
85	1.2108	1.19731	1.20217	-0.00486037	0.0134895
86	1.2071	1.20582	1.20656	-0.000738498	0.00128016
87	1.2061	1.20664	1.21028	-0.00363225	-0.000542752
88	1.2023	1.21542	1.2098	0.00561567	-0.0131198
89	1.2012	1.21448	1.20792	0.00656306	-0.0132839
90	1.2011	1.20397	1.20609	-0.00212079	-0.00286671
91	1.2011	1.20312	1.20607	-0.00294319	-0.00202348
92	1.2011	1.19936	1.20776	-0.00840569	0.00174319
93	1.2089	1.20856	1.20956	-0.00100621	0.000343707
94	1.2098	1.21586	1.21115	0.00470629	-0.00605629
95	1.2052	1.21723	1.21357	0.00365369	-0.0120287
96	1.2091	1.21973	1.21656	0.00316827	-0.0106308
97	1.2288	1.21448	1.21934	-0.00486037	0.0143229
98	1.2298	1.22144	1.22218	-0.000738498	0.00835933
99	1.2266	1.22095	1.22458	-0.00363225	0.00565308
100	1.2199	1.23214	1.22653	0.00561567	-0.0122407
101	1.2418	1.2351	1.22853	0.00656306	0.0067036
102	1.2322	1.22815	1.23028	-0.00212079	0.00404579
103	1.2366	NA	NA	-0.00294319	NA
104	1.2338	NA	NA	-0.00840569	NA
105	1.2338	NA	NA	-0.00100621	NA
106	1.2316	NA	NA	0.00470629	NA
107	1.2316	NA	NA	0.00365369	NA
108	1.2245	NA	NA	0.00316827	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 1.5469 & NA & NA & -0.00486037 & NA \tabularnewline
2 & 1.5501 & NA & NA & -0.000738498 & NA \tabularnewline
3 & 1.5494 & NA & NA & -0.00363225 & NA \tabularnewline
4 & 1.5475 & NA & NA & 0.00561567 & NA \tabularnewline
5 & 1.5449 & NA & NA & 0.00656306 & NA \tabularnewline
6 & 1.5391 & NA & NA & -0.00212079 & NA \tabularnewline
7 & 1.5578 & 1.54549 & 1.54843 & -0.00294319 & 0.012314 \tabularnewline
8 & 1.5528 & 1.54046 & 1.54886 & -0.00840569 & 0.0123432 \tabularnewline
9 & 1.5496 & 1.54901 & 1.55001 & -0.00100621 & 0.000593707 \tabularnewline
10 & 1.549 & 1.55668 & 1.55197 & 0.00470629 & -0.00767713 \tabularnewline
11 & 1.5449 & 1.55724 & 1.55359 & 0.00365369 & -0.0123412 \tabularnewline
12 & 1.5479 & 1.55811 & 1.55494 & 0.00316827 & -0.0102099 \tabularnewline
13 & 1.5494 & 1.55141 & 1.55627 & -0.00486037 & -0.00201046 \tabularnewline
14 & 1.558 & 1.55702 & 1.55775 & -0.000738498 & 0.000984332 \tabularnewline
15 & 1.5691 & 1.55659 & 1.56022 & -0.00363225 & 0.0125114 \tabularnewline
16 & 1.5748 & 1.56897 & 1.56336 & 0.00561567 & 0.005826 \tabularnewline
17 & 1.5564 & 1.57359 & 1.56703 & 0.00656306 & -0.0171922 \tabularnewline
18 & 1.5601 & 1.56892 & 1.57104 & -0.00212079 & -0.00882088 \tabularnewline
19 & 1.5687 & 1.57289 & 1.57584 & -0.00294319 & -0.00419431 \tabularnewline
20 & 1.5775 & 1.57282 & 1.58122 & -0.00840569 & 0.00468069 \tabularnewline
21 & 1.5841 & 1.58466 & 1.58566 & -0.00100621 & -0.000556293 \tabularnewline
22 & 1.5898 & 1.59479 & 1.59008 & 0.00470629 & -0.00498546 \tabularnewline
23 & 1.5922 & 1.60027 & 1.59662 & 0.00365369 & -0.00807036 \tabularnewline
24 & 1.5969 & 1.60763 & 1.60447 & 0.00316827 & -0.0107349 \tabularnewline
25 & 1.6155 & 1.6072 & 1.61206 & -0.00486037 & 0.00830204 \tabularnewline
26 & 1.6212 & 1.61752 & 1.61826 & -0.000738498 & 0.00368016 \tabularnewline
27 & 1.6124 & 1.6198 & 1.62343 & -0.00363225 & -0.00740109 \tabularnewline
28 & 1.6375 & 1.63506 & 1.62944 & 0.00561567 & 0.00244266 \tabularnewline
29 & 1.6506 & 1.64172 & 1.63515 & 0.00656306 & 0.00888277 \tabularnewline
30 & 1.6543 & 1.63798 & 1.6401 & -0.00212079 & 0.016325 \tabularnewline
31 & 1.6567 & 1.63995 & 1.64289 & -0.00294319 & 0.0167515 \tabularnewline
32 & 1.6383 & 1.63414 & 1.64254 & -0.00840569 & 0.00416402 \tabularnewline
33 & 1.6475 & 1.6393 & 1.64031 & -0.00100621 & 0.00819787 \tabularnewline
34 & 1.6706 & 1.64162 & 1.63691 & 0.00470629 & 0.0289812 \tabularnewline
35 & 1.6485 & 1.63777 & 1.63412 & 0.00365369 & 0.0107255 \tabularnewline
36 & 1.6592 & 1.63453 & 1.63136 & 0.00316827 & 0.0246734 \tabularnewline
37 & 1.6203 & 1.62326 & 1.62812 & -0.00486037 & -0.00295629 \tabularnewline
38 & 1.608 & 1.62511 & 1.62585 & -0.000738498 & -0.0171073 \tabularnewline
39 & 1.572 & 1.61928 & 1.62291 & -0.00363225 & -0.0472803 \tabularnewline
40 & 1.5964 & 1.62001 & 1.61439 & 0.00561567 & -0.0236073 \tabularnewline
41 & 1.6247 & 1.60914 & 1.60258 & 0.00656306 & 0.0155578 \tabularnewline
42 & 1.6139 & 1.58995 & 1.59207 & -0.00212079 & 0.02395 \tabularnewline
43 & 1.6193 & 1.57885 & 1.58179 & -0.00294319 & 0.0404515 \tabularnewline
44 & 1.6212 & 1.5632 & 1.57161 & -0.00840569 & 0.0579974 \tabularnewline
45 & 1.5942 & 1.56305 & 1.56405 & -0.00100621 & 0.031152 \tabularnewline
46 & 1.5194 & 1.5627 & 1.558 & 0.00470629 & -0.0433021 \tabularnewline
47 & 1.5162 & 1.55354 & 1.54989 & 0.00365369 & -0.0373412 \tabularnewline
48 & 1.5393 & 1.54422 & 1.54105 & 0.00316827 & -0.00492244 \tabularnewline
49 & 1.4935 & 1.52794 & 1.5328 & -0.00486037 & -0.0344355 \tabularnewline
50 & 1.4904 & 1.52386 & 1.5246 & -0.000738498 & -0.0334615 \tabularnewline
51 & 1.5083 & 1.51359 & 1.51722 & -0.00363225 & -0.00529275 \tabularnewline
52 & 1.5147 & 1.5193 & 1.51368 & 0.00561567 & -0.004599 \tabularnewline
53 & 1.5118 & 1.51978 & 1.51321 & 0.00656306 & -0.00797556 \tabularnewline
54 & 1.5148 & 1.5093 & 1.51142 & -0.00212079 & 0.00549996 \tabularnewline
55 & 1.5202 & 1.50622 & 1.50916 & -0.00294319 & 0.0139849 \tabularnewline
56 & 1.5236 & 1.49907 & 1.50748 & -0.00840569 & 0.0245265 \tabularnewline
57 & 1.5148 & 1.503 & 1.504 & -0.00100621 & 0.011802 \tabularnewline
58 & 1.5138 & 1.50283 & 1.49812 & 0.00470629 & 0.0109687 \tabularnewline
59 & 1.5105 & 1.4945 & 1.49085 & 0.00365369 & 0.0160005 \tabularnewline
60 & 1.502 & 1.48436 & 1.48119 & 0.00316827 & 0.0176442 \tabularnewline
61 & 1.4765 & 1.46331 & 1.46818 & -0.00486037 & 0.0131854 \tabularnewline
62 & 1.4671 & 1.45258 & 1.45332 & -0.000738498 & 0.0145177 \tabularnewline
63 & 1.4482 & 1.43351 & 1.43715 & -0.00363225 & 0.0146864 \tabularnewline
64 & 1.4337 & 1.42716 & 1.42154 & 0.00561567 & 0.00654266 \tabularnewline
65 & 1.4181 & 1.41415 & 1.40759 & 0.00656306 & 0.00394944 \tabularnewline
66 & 1.3767 & 1.38933 & 1.39145 & -0.00212079 & -0.0126334 \tabularnewline
67 & 1.346 & 1.37103 & 1.37397 & -0.00294319 & -0.0250318 \tabularnewline
68 & 1.3413 & 1.35022 & 1.35863 & -0.00840569 & -0.00892348 \tabularnewline
69 & 1.3089 & 1.34382 & 1.34483 & -0.00100621 & -0.034923 \tabularnewline
70 & 1.3452 & 1.33714 & 1.33243 & 0.00470629 & 0.00806037 \tabularnewline
71 & 1.3442 & 1.32357 & 1.31992 & 0.00365369 & 0.0206296 \tabularnewline
72 & 1.2811 & 1.30926 & 1.30609 & 0.00316827 & -0.0281558 \tabularnewline
73 & 1.2779 & 1.28719 & 1.29205 & -0.00486037 & -0.00928963 \tabularnewline
74 & 1.2974 & 1.27504 & 1.27578 & -0.000738498 & 0.0223552 \tabularnewline
75 & 1.2867 & 1.25843 & 1.26206 & -0.00363225 & 0.0282739 \tabularnewline
76 & 1.2977 & 1.25834 & 1.25272 & 0.00561567 & 0.0393635 \tabularnewline
77 & 1.2537 & 1.24973 & 1.24317 & 0.00656306 & 0.0039661 \tabularnewline
78 & 1.2092 & 1.23409 & 1.23621 & -0.00212079 & -0.0248917 \tabularnewline
79 & 1.1766 & 1.22824 & 1.23119 & -0.00294319 & -0.0516443 \tabularnewline
80 & 1.1203 & 1.21622 & 1.22463 & -0.00840569 & -0.0959235 \tabularnewline
81 & 1.2005 & 1.2165 & 1.21751 & -0.00100621 & -0.0160021 \tabularnewline
82 & 1.2295 & 1.21488 & 1.21018 & 0.00470629 & 0.0146187 \tabularnewline
83 & 1.2307 & 1.20767 & 1.20401 & 0.00365369 & 0.0230338 \tabularnewline
84 & 1.2276 & 1.20466 & 1.20149 & 0.00316827 & 0.0229442 \tabularnewline
85 & 1.2108 & 1.19731 & 1.20217 & -0.00486037 & 0.0134895 \tabularnewline
86 & 1.2071 & 1.20582 & 1.20656 & -0.000738498 & 0.00128016 \tabularnewline
87 & 1.2061 & 1.20664 & 1.21028 & -0.00363225 & -0.000542752 \tabularnewline
88 & 1.2023 & 1.21542 & 1.2098 & 0.00561567 & -0.0131198 \tabularnewline
89 & 1.2012 & 1.21448 & 1.20792 & 0.00656306 & -0.0132839 \tabularnewline
90 & 1.2011 & 1.20397 & 1.20609 & -0.00212079 & -0.00286671 \tabularnewline
91 & 1.2011 & 1.20312 & 1.20607 & -0.00294319 & -0.00202348 \tabularnewline
92 & 1.2011 & 1.19936 & 1.20776 & -0.00840569 & 0.00174319 \tabularnewline
93 & 1.2089 & 1.20856 & 1.20956 & -0.00100621 & 0.000343707 \tabularnewline
94 & 1.2098 & 1.21586 & 1.21115 & 0.00470629 & -0.00605629 \tabularnewline
95 & 1.2052 & 1.21723 & 1.21357 & 0.00365369 & -0.0120287 \tabularnewline
96 & 1.2091 & 1.21973 & 1.21656 & 0.00316827 & -0.0106308 \tabularnewline
97 & 1.2288 & 1.21448 & 1.21934 & -0.00486037 & 0.0143229 \tabularnewline
98 & 1.2298 & 1.22144 & 1.22218 & -0.000738498 & 0.00835933 \tabularnewline
99 & 1.2266 & 1.22095 & 1.22458 & -0.00363225 & 0.00565308 \tabularnewline
100 & 1.2199 & 1.23214 & 1.22653 & 0.00561567 & -0.0122407 \tabularnewline
101 & 1.2418 & 1.2351 & 1.22853 & 0.00656306 & 0.0067036 \tabularnewline
102 & 1.2322 & 1.22815 & 1.23028 & -0.00212079 & 0.00404579 \tabularnewline
103 & 1.2366 & NA & NA & -0.00294319 & NA \tabularnewline
104 & 1.2338 & NA & NA & -0.00840569 & NA \tabularnewline
105 & 1.2338 & NA & NA & -0.00100621 & NA \tabularnewline
106 & 1.2316 & NA & NA & 0.00470629 & NA \tabularnewline
107 & 1.2316 & NA & NA & 0.00365369 & NA \tabularnewline
108 & 1.2245 & NA & NA & 0.00316827 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279434&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]1.5469[/C][C]NA[/C][C]NA[/C][C]-0.00486037[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1.5501[/C][C]NA[/C][C]NA[/C][C]-0.000738498[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]1.5494[/C][C]NA[/C][C]NA[/C][C]-0.00363225[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]1.5475[/C][C]NA[/C][C]NA[/C][C]0.00561567[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]1.5449[/C][C]NA[/C][C]NA[/C][C]0.00656306[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]1.5391[/C][C]NA[/C][C]NA[/C][C]-0.00212079[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]1.5578[/C][C]1.54549[/C][C]1.54843[/C][C]-0.00294319[/C][C]0.012314[/C][/ROW]
[ROW][C]8[/C][C]1.5528[/C][C]1.54046[/C][C]1.54886[/C][C]-0.00840569[/C][C]0.0123432[/C][/ROW]
[ROW][C]9[/C][C]1.5496[/C][C]1.54901[/C][C]1.55001[/C][C]-0.00100621[/C][C]0.000593707[/C][/ROW]
[ROW][C]10[/C][C]1.549[/C][C]1.55668[/C][C]1.55197[/C][C]0.00470629[/C][C]-0.00767713[/C][/ROW]
[ROW][C]11[/C][C]1.5449[/C][C]1.55724[/C][C]1.55359[/C][C]0.00365369[/C][C]-0.0123412[/C][/ROW]
[ROW][C]12[/C][C]1.5479[/C][C]1.55811[/C][C]1.55494[/C][C]0.00316827[/C][C]-0.0102099[/C][/ROW]
[ROW][C]13[/C][C]1.5494[/C][C]1.55141[/C][C]1.55627[/C][C]-0.00486037[/C][C]-0.00201046[/C][/ROW]
[ROW][C]14[/C][C]1.558[/C][C]1.55702[/C][C]1.55775[/C][C]-0.000738498[/C][C]0.000984332[/C][/ROW]
[ROW][C]15[/C][C]1.5691[/C][C]1.55659[/C][C]1.56022[/C][C]-0.00363225[/C][C]0.0125114[/C][/ROW]
[ROW][C]16[/C][C]1.5748[/C][C]1.56897[/C][C]1.56336[/C][C]0.00561567[/C][C]0.005826[/C][/ROW]
[ROW][C]17[/C][C]1.5564[/C][C]1.57359[/C][C]1.56703[/C][C]0.00656306[/C][C]-0.0171922[/C][/ROW]
[ROW][C]18[/C][C]1.5601[/C][C]1.56892[/C][C]1.57104[/C][C]-0.00212079[/C][C]-0.00882088[/C][/ROW]
[ROW][C]19[/C][C]1.5687[/C][C]1.57289[/C][C]1.57584[/C][C]-0.00294319[/C][C]-0.00419431[/C][/ROW]
[ROW][C]20[/C][C]1.5775[/C][C]1.57282[/C][C]1.58122[/C][C]-0.00840569[/C][C]0.00468069[/C][/ROW]
[ROW][C]21[/C][C]1.5841[/C][C]1.58466[/C][C]1.58566[/C][C]-0.00100621[/C][C]-0.000556293[/C][/ROW]
[ROW][C]22[/C][C]1.5898[/C][C]1.59479[/C][C]1.59008[/C][C]0.00470629[/C][C]-0.00498546[/C][/ROW]
[ROW][C]23[/C][C]1.5922[/C][C]1.60027[/C][C]1.59662[/C][C]0.00365369[/C][C]-0.00807036[/C][/ROW]
[ROW][C]24[/C][C]1.5969[/C][C]1.60763[/C][C]1.60447[/C][C]0.00316827[/C][C]-0.0107349[/C][/ROW]
[ROW][C]25[/C][C]1.6155[/C][C]1.6072[/C][C]1.61206[/C][C]-0.00486037[/C][C]0.00830204[/C][/ROW]
[ROW][C]26[/C][C]1.6212[/C][C]1.61752[/C][C]1.61826[/C][C]-0.000738498[/C][C]0.00368016[/C][/ROW]
[ROW][C]27[/C][C]1.6124[/C][C]1.6198[/C][C]1.62343[/C][C]-0.00363225[/C][C]-0.00740109[/C][/ROW]
[ROW][C]28[/C][C]1.6375[/C][C]1.63506[/C][C]1.62944[/C][C]0.00561567[/C][C]0.00244266[/C][/ROW]
[ROW][C]29[/C][C]1.6506[/C][C]1.64172[/C][C]1.63515[/C][C]0.00656306[/C][C]0.00888277[/C][/ROW]
[ROW][C]30[/C][C]1.6543[/C][C]1.63798[/C][C]1.6401[/C][C]-0.00212079[/C][C]0.016325[/C][/ROW]
[ROW][C]31[/C][C]1.6567[/C][C]1.63995[/C][C]1.64289[/C][C]-0.00294319[/C][C]0.0167515[/C][/ROW]
[ROW][C]32[/C][C]1.6383[/C][C]1.63414[/C][C]1.64254[/C][C]-0.00840569[/C][C]0.00416402[/C][/ROW]
[ROW][C]33[/C][C]1.6475[/C][C]1.6393[/C][C]1.64031[/C][C]-0.00100621[/C][C]0.00819787[/C][/ROW]
[ROW][C]34[/C][C]1.6706[/C][C]1.64162[/C][C]1.63691[/C][C]0.00470629[/C][C]0.0289812[/C][/ROW]
[ROW][C]35[/C][C]1.6485[/C][C]1.63777[/C][C]1.63412[/C][C]0.00365369[/C][C]0.0107255[/C][/ROW]
[ROW][C]36[/C][C]1.6592[/C][C]1.63453[/C][C]1.63136[/C][C]0.00316827[/C][C]0.0246734[/C][/ROW]
[ROW][C]37[/C][C]1.6203[/C][C]1.62326[/C][C]1.62812[/C][C]-0.00486037[/C][C]-0.00295629[/C][/ROW]
[ROW][C]38[/C][C]1.608[/C][C]1.62511[/C][C]1.62585[/C][C]-0.000738498[/C][C]-0.0171073[/C][/ROW]
[ROW][C]39[/C][C]1.572[/C][C]1.61928[/C][C]1.62291[/C][C]-0.00363225[/C][C]-0.0472803[/C][/ROW]
[ROW][C]40[/C][C]1.5964[/C][C]1.62001[/C][C]1.61439[/C][C]0.00561567[/C][C]-0.0236073[/C][/ROW]
[ROW][C]41[/C][C]1.6247[/C][C]1.60914[/C][C]1.60258[/C][C]0.00656306[/C][C]0.0155578[/C][/ROW]
[ROW][C]42[/C][C]1.6139[/C][C]1.58995[/C][C]1.59207[/C][C]-0.00212079[/C][C]0.02395[/C][/ROW]
[ROW][C]43[/C][C]1.6193[/C][C]1.57885[/C][C]1.58179[/C][C]-0.00294319[/C][C]0.0404515[/C][/ROW]
[ROW][C]44[/C][C]1.6212[/C][C]1.5632[/C][C]1.57161[/C][C]-0.00840569[/C][C]0.0579974[/C][/ROW]
[ROW][C]45[/C][C]1.5942[/C][C]1.56305[/C][C]1.56405[/C][C]-0.00100621[/C][C]0.031152[/C][/ROW]
[ROW][C]46[/C][C]1.5194[/C][C]1.5627[/C][C]1.558[/C][C]0.00470629[/C][C]-0.0433021[/C][/ROW]
[ROW][C]47[/C][C]1.5162[/C][C]1.55354[/C][C]1.54989[/C][C]0.00365369[/C][C]-0.0373412[/C][/ROW]
[ROW][C]48[/C][C]1.5393[/C][C]1.54422[/C][C]1.54105[/C][C]0.00316827[/C][C]-0.00492244[/C][/ROW]
[ROW][C]49[/C][C]1.4935[/C][C]1.52794[/C][C]1.5328[/C][C]-0.00486037[/C][C]-0.0344355[/C][/ROW]
[ROW][C]50[/C][C]1.4904[/C][C]1.52386[/C][C]1.5246[/C][C]-0.000738498[/C][C]-0.0334615[/C][/ROW]
[ROW][C]51[/C][C]1.5083[/C][C]1.51359[/C][C]1.51722[/C][C]-0.00363225[/C][C]-0.00529275[/C][/ROW]
[ROW][C]52[/C][C]1.5147[/C][C]1.5193[/C][C]1.51368[/C][C]0.00561567[/C][C]-0.004599[/C][/ROW]
[ROW][C]53[/C][C]1.5118[/C][C]1.51978[/C][C]1.51321[/C][C]0.00656306[/C][C]-0.00797556[/C][/ROW]
[ROW][C]54[/C][C]1.5148[/C][C]1.5093[/C][C]1.51142[/C][C]-0.00212079[/C][C]0.00549996[/C][/ROW]
[ROW][C]55[/C][C]1.5202[/C][C]1.50622[/C][C]1.50916[/C][C]-0.00294319[/C][C]0.0139849[/C][/ROW]
[ROW][C]56[/C][C]1.5236[/C][C]1.49907[/C][C]1.50748[/C][C]-0.00840569[/C][C]0.0245265[/C][/ROW]
[ROW][C]57[/C][C]1.5148[/C][C]1.503[/C][C]1.504[/C][C]-0.00100621[/C][C]0.011802[/C][/ROW]
[ROW][C]58[/C][C]1.5138[/C][C]1.50283[/C][C]1.49812[/C][C]0.00470629[/C][C]0.0109687[/C][/ROW]
[ROW][C]59[/C][C]1.5105[/C][C]1.4945[/C][C]1.49085[/C][C]0.00365369[/C][C]0.0160005[/C][/ROW]
[ROW][C]60[/C][C]1.502[/C][C]1.48436[/C][C]1.48119[/C][C]0.00316827[/C][C]0.0176442[/C][/ROW]
[ROW][C]61[/C][C]1.4765[/C][C]1.46331[/C][C]1.46818[/C][C]-0.00486037[/C][C]0.0131854[/C][/ROW]
[ROW][C]62[/C][C]1.4671[/C][C]1.45258[/C][C]1.45332[/C][C]-0.000738498[/C][C]0.0145177[/C][/ROW]
[ROW][C]63[/C][C]1.4482[/C][C]1.43351[/C][C]1.43715[/C][C]-0.00363225[/C][C]0.0146864[/C][/ROW]
[ROW][C]64[/C][C]1.4337[/C][C]1.42716[/C][C]1.42154[/C][C]0.00561567[/C][C]0.00654266[/C][/ROW]
[ROW][C]65[/C][C]1.4181[/C][C]1.41415[/C][C]1.40759[/C][C]0.00656306[/C][C]0.00394944[/C][/ROW]
[ROW][C]66[/C][C]1.3767[/C][C]1.38933[/C][C]1.39145[/C][C]-0.00212079[/C][C]-0.0126334[/C][/ROW]
[ROW][C]67[/C][C]1.346[/C][C]1.37103[/C][C]1.37397[/C][C]-0.00294319[/C][C]-0.0250318[/C][/ROW]
[ROW][C]68[/C][C]1.3413[/C][C]1.35022[/C][C]1.35863[/C][C]-0.00840569[/C][C]-0.00892348[/C][/ROW]
[ROW][C]69[/C][C]1.3089[/C][C]1.34382[/C][C]1.34483[/C][C]-0.00100621[/C][C]-0.034923[/C][/ROW]
[ROW][C]70[/C][C]1.3452[/C][C]1.33714[/C][C]1.33243[/C][C]0.00470629[/C][C]0.00806037[/C][/ROW]
[ROW][C]71[/C][C]1.3442[/C][C]1.32357[/C][C]1.31992[/C][C]0.00365369[/C][C]0.0206296[/C][/ROW]
[ROW][C]72[/C][C]1.2811[/C][C]1.30926[/C][C]1.30609[/C][C]0.00316827[/C][C]-0.0281558[/C][/ROW]
[ROW][C]73[/C][C]1.2779[/C][C]1.28719[/C][C]1.29205[/C][C]-0.00486037[/C][C]-0.00928963[/C][/ROW]
[ROW][C]74[/C][C]1.2974[/C][C]1.27504[/C][C]1.27578[/C][C]-0.000738498[/C][C]0.0223552[/C][/ROW]
[ROW][C]75[/C][C]1.2867[/C][C]1.25843[/C][C]1.26206[/C][C]-0.00363225[/C][C]0.0282739[/C][/ROW]
[ROW][C]76[/C][C]1.2977[/C][C]1.25834[/C][C]1.25272[/C][C]0.00561567[/C][C]0.0393635[/C][/ROW]
[ROW][C]77[/C][C]1.2537[/C][C]1.24973[/C][C]1.24317[/C][C]0.00656306[/C][C]0.0039661[/C][/ROW]
[ROW][C]78[/C][C]1.2092[/C][C]1.23409[/C][C]1.23621[/C][C]-0.00212079[/C][C]-0.0248917[/C][/ROW]
[ROW][C]79[/C][C]1.1766[/C][C]1.22824[/C][C]1.23119[/C][C]-0.00294319[/C][C]-0.0516443[/C][/ROW]
[ROW][C]80[/C][C]1.1203[/C][C]1.21622[/C][C]1.22463[/C][C]-0.00840569[/C][C]-0.0959235[/C][/ROW]
[ROW][C]81[/C][C]1.2005[/C][C]1.2165[/C][C]1.21751[/C][C]-0.00100621[/C][C]-0.0160021[/C][/ROW]
[ROW][C]82[/C][C]1.2295[/C][C]1.21488[/C][C]1.21018[/C][C]0.00470629[/C][C]0.0146187[/C][/ROW]
[ROW][C]83[/C][C]1.2307[/C][C]1.20767[/C][C]1.20401[/C][C]0.00365369[/C][C]0.0230338[/C][/ROW]
[ROW][C]84[/C][C]1.2276[/C][C]1.20466[/C][C]1.20149[/C][C]0.00316827[/C][C]0.0229442[/C][/ROW]
[ROW][C]85[/C][C]1.2108[/C][C]1.19731[/C][C]1.20217[/C][C]-0.00486037[/C][C]0.0134895[/C][/ROW]
[ROW][C]86[/C][C]1.2071[/C][C]1.20582[/C][C]1.20656[/C][C]-0.000738498[/C][C]0.00128016[/C][/ROW]
[ROW][C]87[/C][C]1.2061[/C][C]1.20664[/C][C]1.21028[/C][C]-0.00363225[/C][C]-0.000542752[/C][/ROW]
[ROW][C]88[/C][C]1.2023[/C][C]1.21542[/C][C]1.2098[/C][C]0.00561567[/C][C]-0.0131198[/C][/ROW]
[ROW][C]89[/C][C]1.2012[/C][C]1.21448[/C][C]1.20792[/C][C]0.00656306[/C][C]-0.0132839[/C][/ROW]
[ROW][C]90[/C][C]1.2011[/C][C]1.20397[/C][C]1.20609[/C][C]-0.00212079[/C][C]-0.00286671[/C][/ROW]
[ROW][C]91[/C][C]1.2011[/C][C]1.20312[/C][C]1.20607[/C][C]-0.00294319[/C][C]-0.00202348[/C][/ROW]
[ROW][C]92[/C][C]1.2011[/C][C]1.19936[/C][C]1.20776[/C][C]-0.00840569[/C][C]0.00174319[/C][/ROW]
[ROW][C]93[/C][C]1.2089[/C][C]1.20856[/C][C]1.20956[/C][C]-0.00100621[/C][C]0.000343707[/C][/ROW]
[ROW][C]94[/C][C]1.2098[/C][C]1.21586[/C][C]1.21115[/C][C]0.00470629[/C][C]-0.00605629[/C][/ROW]
[ROW][C]95[/C][C]1.2052[/C][C]1.21723[/C][C]1.21357[/C][C]0.00365369[/C][C]-0.0120287[/C][/ROW]
[ROW][C]96[/C][C]1.2091[/C][C]1.21973[/C][C]1.21656[/C][C]0.00316827[/C][C]-0.0106308[/C][/ROW]
[ROW][C]97[/C][C]1.2288[/C][C]1.21448[/C][C]1.21934[/C][C]-0.00486037[/C][C]0.0143229[/C][/ROW]
[ROW][C]98[/C][C]1.2298[/C][C]1.22144[/C][C]1.22218[/C][C]-0.000738498[/C][C]0.00835933[/C][/ROW]
[ROW][C]99[/C][C]1.2266[/C][C]1.22095[/C][C]1.22458[/C][C]-0.00363225[/C][C]0.00565308[/C][/ROW]
[ROW][C]100[/C][C]1.2199[/C][C]1.23214[/C][C]1.22653[/C][C]0.00561567[/C][C]-0.0122407[/C][/ROW]
[ROW][C]101[/C][C]1.2418[/C][C]1.2351[/C][C]1.22853[/C][C]0.00656306[/C][C]0.0067036[/C][/ROW]
[ROW][C]102[/C][C]1.2322[/C][C]1.22815[/C][C]1.23028[/C][C]-0.00212079[/C][C]0.00404579[/C][/ROW]
[ROW][C]103[/C][C]1.2366[/C][C]NA[/C][C]NA[/C][C]-0.00294319[/C][C]NA[/C][/ROW]
[ROW][C]104[/C][C]1.2338[/C][C]NA[/C][C]NA[/C][C]-0.00840569[/C][C]NA[/C][/ROW]
[ROW][C]105[/C][C]1.2338[/C][C]NA[/C][C]NA[/C][C]-0.00100621[/C][C]NA[/C][/ROW]
[ROW][C]106[/C][C]1.2316[/C][C]NA[/C][C]NA[/C][C]0.00470629[/C][C]NA[/C][/ROW]
[ROW][C]107[/C][C]1.2316[/C][C]NA[/C][C]NA[/C][C]0.00365369[/C][C]NA[/C][/ROW]
[ROW][C]108[/C][C]1.2245[/C][C]NA[/C][C]NA[/C][C]0.00316827[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279434&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279434&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	1.5469	NA	NA	-0.00486037	NA
2	1.5501	NA	NA	-0.000738498	NA
3	1.5494	NA	NA	-0.00363225	NA
4	1.5475	NA	NA	0.00561567	NA
5	1.5449	NA	NA	0.00656306	NA
6	1.5391	NA	NA	-0.00212079	NA
7	1.5578	1.54549	1.54843	-0.00294319	0.012314
8	1.5528	1.54046	1.54886	-0.00840569	0.0123432
9	1.5496	1.54901	1.55001	-0.00100621	0.000593707
10	1.549	1.55668	1.55197	0.00470629	-0.00767713
11	1.5449	1.55724	1.55359	0.00365369	-0.0123412
12	1.5479	1.55811	1.55494	0.00316827	-0.0102099
13	1.5494	1.55141	1.55627	-0.00486037	-0.00201046
14	1.558	1.55702	1.55775	-0.000738498	0.000984332
15	1.5691	1.55659	1.56022	-0.00363225	0.0125114
16	1.5748	1.56897	1.56336	0.00561567	0.005826
17	1.5564	1.57359	1.56703	0.00656306	-0.0171922
18	1.5601	1.56892	1.57104	-0.00212079	-0.00882088
19	1.5687	1.57289	1.57584	-0.00294319	-0.00419431
20	1.5775	1.57282	1.58122	-0.00840569	0.00468069
21	1.5841	1.58466	1.58566	-0.00100621	-0.000556293
22	1.5898	1.59479	1.59008	0.00470629	-0.00498546
23	1.5922	1.60027	1.59662	0.00365369	-0.00807036
24	1.5969	1.60763	1.60447	0.00316827	-0.0107349
25	1.6155	1.6072	1.61206	-0.00486037	0.00830204
26	1.6212	1.61752	1.61826	-0.000738498	0.00368016
27	1.6124	1.6198	1.62343	-0.00363225	-0.00740109
28	1.6375	1.63506	1.62944	0.00561567	0.00244266
29	1.6506	1.64172	1.63515	0.00656306	0.00888277
30	1.6543	1.63798	1.6401	-0.00212079	0.016325
31	1.6567	1.63995	1.64289	-0.00294319	0.0167515
32	1.6383	1.63414	1.64254	-0.00840569	0.00416402
33	1.6475	1.6393	1.64031	-0.00100621	0.00819787
34	1.6706	1.64162	1.63691	0.00470629	0.0289812
35	1.6485	1.63777	1.63412	0.00365369	0.0107255
36	1.6592	1.63453	1.63136	0.00316827	0.0246734
37	1.6203	1.62326	1.62812	-0.00486037	-0.00295629
38	1.608	1.62511	1.62585	-0.000738498	-0.0171073
39	1.572	1.61928	1.62291	-0.00363225	-0.0472803
40	1.5964	1.62001	1.61439	0.00561567	-0.0236073
41	1.6247	1.60914	1.60258	0.00656306	0.0155578
42	1.6139	1.58995	1.59207	-0.00212079	0.02395
43	1.6193	1.57885	1.58179	-0.00294319	0.0404515
44	1.6212	1.5632	1.57161	-0.00840569	0.0579974
45	1.5942	1.56305	1.56405	-0.00100621	0.031152
46	1.5194	1.5627	1.558	0.00470629	-0.0433021
47	1.5162	1.55354	1.54989	0.00365369	-0.0373412
48	1.5393	1.54422	1.54105	0.00316827	-0.00492244
49	1.4935	1.52794	1.5328	-0.00486037	-0.0344355
50	1.4904	1.52386	1.5246	-0.000738498	-0.0334615
51	1.5083	1.51359	1.51722	-0.00363225	-0.00529275
52	1.5147	1.5193	1.51368	0.00561567	-0.004599
53	1.5118	1.51978	1.51321	0.00656306	-0.00797556
54	1.5148	1.5093	1.51142	-0.00212079	0.00549996
55	1.5202	1.50622	1.50916	-0.00294319	0.0139849
56	1.5236	1.49907	1.50748	-0.00840569	0.0245265
57	1.5148	1.503	1.504	-0.00100621	0.011802
58	1.5138	1.50283	1.49812	0.00470629	0.0109687
59	1.5105	1.4945	1.49085	0.00365369	0.0160005
60	1.502	1.48436	1.48119	0.00316827	0.0176442
61	1.4765	1.46331	1.46818	-0.00486037	0.0131854
62	1.4671	1.45258	1.45332	-0.000738498	0.0145177
63	1.4482	1.43351	1.43715	-0.00363225	0.0146864
64	1.4337	1.42716	1.42154	0.00561567	0.00654266
65	1.4181	1.41415	1.40759	0.00656306	0.00394944
66	1.3767	1.38933	1.39145	-0.00212079	-0.0126334
67	1.346	1.37103	1.37397	-0.00294319	-0.0250318
68	1.3413	1.35022	1.35863	-0.00840569	-0.00892348
69	1.3089	1.34382	1.34483	-0.00100621	-0.034923
70	1.3452	1.33714	1.33243	0.00470629	0.00806037
71	1.3442	1.32357	1.31992	0.00365369	0.0206296
72	1.2811	1.30926	1.30609	0.00316827	-0.0281558
73	1.2779	1.28719	1.29205	-0.00486037	-0.00928963
74	1.2974	1.27504	1.27578	-0.000738498	0.0223552
75	1.2867	1.25843	1.26206	-0.00363225	0.0282739
76	1.2977	1.25834	1.25272	0.00561567	0.0393635
77	1.2537	1.24973	1.24317	0.00656306	0.0039661
78	1.2092	1.23409	1.23621	-0.00212079	-0.0248917
79	1.1766	1.22824	1.23119	-0.00294319	-0.0516443
80	1.1203	1.21622	1.22463	-0.00840569	-0.0959235
81	1.2005	1.2165	1.21751	-0.00100621	-0.0160021
82	1.2295	1.21488	1.21018	0.00470629	0.0146187
83	1.2307	1.20767	1.20401	0.00365369	0.0230338
84	1.2276	1.20466	1.20149	0.00316827	0.0229442
85	1.2108	1.19731	1.20217	-0.00486037	0.0134895
86	1.2071	1.20582	1.20656	-0.000738498	0.00128016
87	1.2061	1.20664	1.21028	-0.00363225	-0.000542752
88	1.2023	1.21542	1.2098	0.00561567	-0.0131198
89	1.2012	1.21448	1.20792	0.00656306	-0.0132839
90	1.2011	1.20397	1.20609	-0.00212079	-0.00286671
91	1.2011	1.20312	1.20607	-0.00294319	-0.00202348
92	1.2011	1.19936	1.20776	-0.00840569	0.00174319
93	1.2089	1.20856	1.20956	-0.00100621	0.000343707
94	1.2098	1.21586	1.21115	0.00470629	-0.00605629
95	1.2052	1.21723	1.21357	0.00365369	-0.0120287
96	1.2091	1.21973	1.21656	0.00316827	-0.0106308
97	1.2288	1.21448	1.21934	-0.00486037	0.0143229
98	1.2298	1.22144	1.22218	-0.000738498	0.00835933
99	1.2266	1.22095	1.22458	-0.00363225	0.00565308
100	1.2199	1.23214	1.22653	0.00561567	-0.0122407
101	1.2418	1.2351	1.22853	0.00656306	0.0067036
102	1.2322	1.22815	1.23028	-0.00212079	0.00404579
103	1.2366	NA	NA	-0.00294319	NA
104	1.2338	NA	NA	-0.00840569	NA
105	1.2338	NA	NA	-0.00100621	NA
106	1.2316	NA	NA	0.00470629	NA
107	1.2316	NA	NA	0.00365369	NA
108	1.2245	NA	NA	0.00316827	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 = 12 ;

Parameters (R input):

par1 = additive ; par2 = 12 ;

R code (references can be found in the software module):

par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code