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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Wed, 10 Dec 2014 15:38:17 +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/2014/Dec/10/t1418225937mzqbsk59arxv4cn.htm/, Retrieved Sun, 12 May 2024 11:13:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265403, Retrieved Sun, 12 May 2024 11:13:28 +0000

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Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [Classical Decomposition] [Births] [2010-11-30 13:45:46] [b98453cac15ba1066b407e146608df68]
- RM            [Classical Decomposition] [WS8 Q1] [2014-11-19 13:14:43] [bcf5edf18529a33bd1494456d2c6cb9a]
- RM D              [Classical Decomposition] [Cssical decomposi...] [2014-12-10 15:38:17] [0ce3062f3159e08d115eba7e96d082ef] [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	3 seconds
R Server	'Sir Maurice George Kendall' @ kendall.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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265403&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265403&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265403&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	3 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	2132	NA	NA	-262.524	NA
2	1964	NA	NA	-170.528	NA
3	2209	NA	NA	-31.4656	NA
4	1965	NA	NA	-487.691	NA
5	2631	NA	NA	117.439	NA
6	2583	NA	NA	109.23	NA
7	2714	2569.07	2423.62	145.447	144.928
8	2248	2548.18	2445.83	102.351	-300.184
9	2364	2553.88	2463.75	90.126	-189.876
10	3042	3093.61	2493.21	600.401	-51.6094
11	2316	2245.86	2508.79	-262.932	70.1406
12	2735	2563.52	2513.38	50.1469	171.478
13	2493	2270.39	2532.92	-262.524	222.607
14	2136	2387.76	2558.29	-170.528	-251.764
15	2467	2567.08	2598.54	-31.4656	-100.076
16	2414	2155.35	2643.04	-487.691	258.649
17	2556	2787.61	2670.17	117.439	-231.605
18	2768	2807.56	2698.33	109.23	-39.5635
19	2998	2870.78	2725.33	145.447	127.22
20	2573	2836.6	2734.25	102.351	-263.601
21	3005	2850.04	2759.92	90.126	154.957
22	3469	3384.53	2784.12	600.401	84.474
23	2540	2530.11	2793.04	-262.932	9.89062
24	3187	2886.61	2836.46	50.1469	300.395
25	2689	2604.27	2866.79	-262.524	84.7323
26	2154	2711.64	2882.17	-170.528	-557.639
27	3065	2879.53	2911	-31.4656	185.466
28	2397	2427.43	2915.12	-487.691	-30.4344
29	2787	3039.19	2921.75	117.439	-252.189
30	3579	3049.94	2940.71	109.23	529.061
31	2915	3074.78	2929.33	145.447	-159.78
32	3025	3032.02	2929.67	102.351	-7.01771
33	3245	3019.58	2929.46	90.126	225.416
34	3328	3489.11	2888.71	600.401	-161.109
35	2840	2594.65	2857.58	-262.932	245.349
36	3342	2860.11	2809.96	50.1469	481.895
37	2261	2497.06	2759.58	-262.524	-236.059
38	2590	2568.47	2739	-170.528	21.5281
39	2624	2661.16	2692.63	-31.4656	-37.1594
40	1860	2156.18	2643.88	-487.691	-296.184
41	2577	2723.31	2605.88	117.439	-146.314
42	2646	2652.27	2543.04	109.23	-6.27187
43	2639	2639.95	2494.5	145.447	-0.946875
44	2807	2579.73	2477.38	102.351	227.274
45	2350	2553.17	2463.04	90.126	-203.168
46	3053	3055.82	2455.42	600.401	-2.81771
47	2203	2200.78	2463.71	-262.932	2.22396
48	2471	2505.77	2455.62	50.1469	-34.7719
49	1967	2182.52	2445.04	-262.524	-215.518
50	2473	2274.81	2445.33	-170.528	198.195
51	2397	2407.95	2439.42	-31.4656	-10.951
52	1904	1957.39	2445.08	-487.691	-53.3927
53	2732	2568.9	2451.46	117.439	163.103
54	2297	2550.4	2441.17	109.23	-253.397
55	2734	2596.24	2450.79	145.447	137.761
56	2719	2574.14	2471.79	102.351	144.857
57	2296	2561.5	2471.37	90.126	-265.501
58	3243	3080.15	2479.75	600.401	162.849
59	2166	2231.19	2494.12	-262.932	-65.1927
60	2261	2560.02	2509.88	50.1469	-299.022
61	2408	2262.14	2524.67	-262.524	145.857
62	2536	2353.51	2524.04	-170.528	182.486
63	2324	2510.99	2542.46	-31.4656	-186.993
64	2178	2070.77	2558.46	-487.691	107.232
65	2803	2680.31	2562.87	117.439	122.686
66	2604	2680.4	2571.17	109.23	-76.3969
67	2782	2717.24	2571.79	145.447	64.7615
68	2656	2678.43	2576.08	102.351	-22.4344
69	2801	2674.67	2584.54	90.126	126.332
70	3122	3192.23	2591.83	600.401	-70.2344
71	2393	2336.28	2599.21	-262.932	56.724
72	2233	2651.36	2601.21	50.1469	-418.355
73	2451	2344.52	2607.04	-262.524	106.482
74	2596	2435.76	2606.29	-170.528	160.236
75	2467	2564.91	2596.37	-31.4656	-97.9094
76	2210	2117.02	2604.71	-487.691	92.9823
77	2948	2717.61	2600.17	117.439	230.395
78	2507	2711.77	2602.54	109.23	-204.772
79	3019	2760.7	2615.25	145.447	258.303
80	2401	2708.27	2605.92	102.351	-307.268
81	2818	2688.38	2598.25	90.126	129.624
82	3305	3199.23	2598.83	600.401	105.766
83	2101	2322.82	2585.75	-262.932	-221.818
84	2582	2639.86	2589.71	50.1469	-57.8552
85	2407	2330.35	2592.88	-262.524	76.649
86	2416	2424.68	2595.21	-170.528	-8.68021
87	2463	2574.28	2605.75	-31.4656	-111.284
88	2228	2103.6	2591.29	-487.691	124.399
89	2616	2709.86	2592.42	117.439	-93.8552
90	2934	2716.48	2607.25	109.23	217.52
91	2668	2753.78	2608.33	145.447	-85.7802
92	2808	2711.02	2608.67	102.351	96.9823
93	2664	2711.38	2621.25	90.126	-47.376
94	3112	3222.48	2622.08	600.401	-110.484
95	2321	2353.4	2616.33	-262.932	-32.401
96	2718	2657.9	2607.75	50.1469	60.1031
97	2297	2322.23	2584.75	-262.524	-25.226
98	2534	2397.81	2568.33	-170.528	136.195
99	2647	2535.66	2567.12	-31.4656	111.341
100	2064	2085.23	2572.92	-487.691	-21.226
101	2642	2689.81	2572.38	117.439	-47.8135
102	2702	2669.36	2560.12	109.23	32.6448
103	2348	2690.36	2544.92	145.447	-342.364
104	2734	2632.98	2530.63	102.351	101.024
105	2709	2615.33	2525.21	90.126	93.6656
106	3206	3117.73	2517.33	600.401	88.2656
107	2214	2244.23	2507.17	-262.932	-30.2344
108	2531	2550.98	2500.83	50.1469	-19.9802
109	2119	2236.93	2499.46	-262.524	-117.934
110	2369	2338.76	2509.29	-170.528	30.2365
111	2682	2474.2	2505.67	-31.4656	207.799
112	1840	1998.27	2485.96	-487.691	-158.268
113	2622	2588.36	2470.92	117.439	33.6448
114	2570	2563.77	2454.54	109.23	6.22812
115	2447	2585.45	2440	145.447	-138.447
116	2871	2534.98	2432.63	102.351	336.024
117	2485	2503.42	2413.29	90.126	-18.4177
118	2957	2996.44	2396.04	600.401	-39.4427
119	2102	2131.03	2393.96	-262.932	-29.026
120	2250	2428.23	2378.08	50.1469	-178.23
121	2051	2086.93	2349.46	-262.524	-35.9344
122	2260	2165.14	2335.67	-170.528	94.8615
123	2327	2281.58	2313.04	-31.4656	45.424
124	1781	1799.1	2286.79	-487.691	-18.101
125	2631	2403.4	2285.96	117.439	227.603
126	2180	2379.4	2270.17	109.23	-199.397
127	2150	NA	NA	145.447	NA
128	2837	NA	NA	102.351	NA
129	1976	NA	NA	90.126	NA
130	2836	NA	NA	600.401	NA
131	2203	NA	NA	-262.932	NA
132	1770	NA	NA	50.1469	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 2132 & NA & NA & -262.524 & NA \tabularnewline
2 & 1964 & NA & NA & -170.528 & NA \tabularnewline
3 & 2209 & NA & NA & -31.4656 & NA \tabularnewline
4 & 1965 & NA & NA & -487.691 & NA \tabularnewline
5 & 2631 & NA & NA & 117.439 & NA \tabularnewline
6 & 2583 & NA & NA & 109.23 & NA \tabularnewline
7 & 2714 & 2569.07 & 2423.62 & 145.447 & 144.928 \tabularnewline
8 & 2248 & 2548.18 & 2445.83 & 102.351 & -300.184 \tabularnewline
9 & 2364 & 2553.88 & 2463.75 & 90.126 & -189.876 \tabularnewline
10 & 3042 & 3093.61 & 2493.21 & 600.401 & -51.6094 \tabularnewline
11 & 2316 & 2245.86 & 2508.79 & -262.932 & 70.1406 \tabularnewline
12 & 2735 & 2563.52 & 2513.38 & 50.1469 & 171.478 \tabularnewline
13 & 2493 & 2270.39 & 2532.92 & -262.524 & 222.607 \tabularnewline
14 & 2136 & 2387.76 & 2558.29 & -170.528 & -251.764 \tabularnewline
15 & 2467 & 2567.08 & 2598.54 & -31.4656 & -100.076 \tabularnewline
16 & 2414 & 2155.35 & 2643.04 & -487.691 & 258.649 \tabularnewline
17 & 2556 & 2787.61 & 2670.17 & 117.439 & -231.605 \tabularnewline
18 & 2768 & 2807.56 & 2698.33 & 109.23 & -39.5635 \tabularnewline
19 & 2998 & 2870.78 & 2725.33 & 145.447 & 127.22 \tabularnewline
20 & 2573 & 2836.6 & 2734.25 & 102.351 & -263.601 \tabularnewline
21 & 3005 & 2850.04 & 2759.92 & 90.126 & 154.957 \tabularnewline
22 & 3469 & 3384.53 & 2784.12 & 600.401 & 84.474 \tabularnewline
23 & 2540 & 2530.11 & 2793.04 & -262.932 & 9.89062 \tabularnewline
24 & 3187 & 2886.61 & 2836.46 & 50.1469 & 300.395 \tabularnewline
25 & 2689 & 2604.27 & 2866.79 & -262.524 & 84.7323 \tabularnewline
26 & 2154 & 2711.64 & 2882.17 & -170.528 & -557.639 \tabularnewline
27 & 3065 & 2879.53 & 2911 & -31.4656 & 185.466 \tabularnewline
28 & 2397 & 2427.43 & 2915.12 & -487.691 & -30.4344 \tabularnewline
29 & 2787 & 3039.19 & 2921.75 & 117.439 & -252.189 \tabularnewline
30 & 3579 & 3049.94 & 2940.71 & 109.23 & 529.061 \tabularnewline
31 & 2915 & 3074.78 & 2929.33 & 145.447 & -159.78 \tabularnewline
32 & 3025 & 3032.02 & 2929.67 & 102.351 & -7.01771 \tabularnewline
33 & 3245 & 3019.58 & 2929.46 & 90.126 & 225.416 \tabularnewline
34 & 3328 & 3489.11 & 2888.71 & 600.401 & -161.109 \tabularnewline
35 & 2840 & 2594.65 & 2857.58 & -262.932 & 245.349 \tabularnewline
36 & 3342 & 2860.11 & 2809.96 & 50.1469 & 481.895 \tabularnewline
37 & 2261 & 2497.06 & 2759.58 & -262.524 & -236.059 \tabularnewline
38 & 2590 & 2568.47 & 2739 & -170.528 & 21.5281 \tabularnewline
39 & 2624 & 2661.16 & 2692.63 & -31.4656 & -37.1594 \tabularnewline
40 & 1860 & 2156.18 & 2643.88 & -487.691 & -296.184 \tabularnewline
41 & 2577 & 2723.31 & 2605.88 & 117.439 & -146.314 \tabularnewline
42 & 2646 & 2652.27 & 2543.04 & 109.23 & -6.27187 \tabularnewline
43 & 2639 & 2639.95 & 2494.5 & 145.447 & -0.946875 \tabularnewline
44 & 2807 & 2579.73 & 2477.38 & 102.351 & 227.274 \tabularnewline
45 & 2350 & 2553.17 & 2463.04 & 90.126 & -203.168 \tabularnewline
46 & 3053 & 3055.82 & 2455.42 & 600.401 & -2.81771 \tabularnewline
47 & 2203 & 2200.78 & 2463.71 & -262.932 & 2.22396 \tabularnewline
48 & 2471 & 2505.77 & 2455.62 & 50.1469 & -34.7719 \tabularnewline
49 & 1967 & 2182.52 & 2445.04 & -262.524 & -215.518 \tabularnewline
50 & 2473 & 2274.81 & 2445.33 & -170.528 & 198.195 \tabularnewline
51 & 2397 & 2407.95 & 2439.42 & -31.4656 & -10.951 \tabularnewline
52 & 1904 & 1957.39 & 2445.08 & -487.691 & -53.3927 \tabularnewline
53 & 2732 & 2568.9 & 2451.46 & 117.439 & 163.103 \tabularnewline
54 & 2297 & 2550.4 & 2441.17 & 109.23 & -253.397 \tabularnewline
55 & 2734 & 2596.24 & 2450.79 & 145.447 & 137.761 \tabularnewline
56 & 2719 & 2574.14 & 2471.79 & 102.351 & 144.857 \tabularnewline
57 & 2296 & 2561.5 & 2471.37 & 90.126 & -265.501 \tabularnewline
58 & 3243 & 3080.15 & 2479.75 & 600.401 & 162.849 \tabularnewline
59 & 2166 & 2231.19 & 2494.12 & -262.932 & -65.1927 \tabularnewline
60 & 2261 & 2560.02 & 2509.88 & 50.1469 & -299.022 \tabularnewline
61 & 2408 & 2262.14 & 2524.67 & -262.524 & 145.857 \tabularnewline
62 & 2536 & 2353.51 & 2524.04 & -170.528 & 182.486 \tabularnewline
63 & 2324 & 2510.99 & 2542.46 & -31.4656 & -186.993 \tabularnewline
64 & 2178 & 2070.77 & 2558.46 & -487.691 & 107.232 \tabularnewline
65 & 2803 & 2680.31 & 2562.87 & 117.439 & 122.686 \tabularnewline
66 & 2604 & 2680.4 & 2571.17 & 109.23 & -76.3969 \tabularnewline
67 & 2782 & 2717.24 & 2571.79 & 145.447 & 64.7615 \tabularnewline
68 & 2656 & 2678.43 & 2576.08 & 102.351 & -22.4344 \tabularnewline
69 & 2801 & 2674.67 & 2584.54 & 90.126 & 126.332 \tabularnewline
70 & 3122 & 3192.23 & 2591.83 & 600.401 & -70.2344 \tabularnewline
71 & 2393 & 2336.28 & 2599.21 & -262.932 & 56.724 \tabularnewline
72 & 2233 & 2651.36 & 2601.21 & 50.1469 & -418.355 \tabularnewline
73 & 2451 & 2344.52 & 2607.04 & -262.524 & 106.482 \tabularnewline
74 & 2596 & 2435.76 & 2606.29 & -170.528 & 160.236 \tabularnewline
75 & 2467 & 2564.91 & 2596.37 & -31.4656 & -97.9094 \tabularnewline
76 & 2210 & 2117.02 & 2604.71 & -487.691 & 92.9823 \tabularnewline
77 & 2948 & 2717.61 & 2600.17 & 117.439 & 230.395 \tabularnewline
78 & 2507 & 2711.77 & 2602.54 & 109.23 & -204.772 \tabularnewline
79 & 3019 & 2760.7 & 2615.25 & 145.447 & 258.303 \tabularnewline
80 & 2401 & 2708.27 & 2605.92 & 102.351 & -307.268 \tabularnewline
81 & 2818 & 2688.38 & 2598.25 & 90.126 & 129.624 \tabularnewline
82 & 3305 & 3199.23 & 2598.83 & 600.401 & 105.766 \tabularnewline
83 & 2101 & 2322.82 & 2585.75 & -262.932 & -221.818 \tabularnewline
84 & 2582 & 2639.86 & 2589.71 & 50.1469 & -57.8552 \tabularnewline
85 & 2407 & 2330.35 & 2592.88 & -262.524 & 76.649 \tabularnewline
86 & 2416 & 2424.68 & 2595.21 & -170.528 & -8.68021 \tabularnewline
87 & 2463 & 2574.28 & 2605.75 & -31.4656 & -111.284 \tabularnewline
88 & 2228 & 2103.6 & 2591.29 & -487.691 & 124.399 \tabularnewline
89 & 2616 & 2709.86 & 2592.42 & 117.439 & -93.8552 \tabularnewline
90 & 2934 & 2716.48 & 2607.25 & 109.23 & 217.52 \tabularnewline
91 & 2668 & 2753.78 & 2608.33 & 145.447 & -85.7802 \tabularnewline
92 & 2808 & 2711.02 & 2608.67 & 102.351 & 96.9823 \tabularnewline
93 & 2664 & 2711.38 & 2621.25 & 90.126 & -47.376 \tabularnewline
94 & 3112 & 3222.48 & 2622.08 & 600.401 & -110.484 \tabularnewline
95 & 2321 & 2353.4 & 2616.33 & -262.932 & -32.401 \tabularnewline
96 & 2718 & 2657.9 & 2607.75 & 50.1469 & 60.1031 \tabularnewline
97 & 2297 & 2322.23 & 2584.75 & -262.524 & -25.226 \tabularnewline
98 & 2534 & 2397.81 & 2568.33 & -170.528 & 136.195 \tabularnewline
99 & 2647 & 2535.66 & 2567.12 & -31.4656 & 111.341 \tabularnewline
100 & 2064 & 2085.23 & 2572.92 & -487.691 & -21.226 \tabularnewline
101 & 2642 & 2689.81 & 2572.38 & 117.439 & -47.8135 \tabularnewline
102 & 2702 & 2669.36 & 2560.12 & 109.23 & 32.6448 \tabularnewline
103 & 2348 & 2690.36 & 2544.92 & 145.447 & -342.364 \tabularnewline
104 & 2734 & 2632.98 & 2530.63 & 102.351 & 101.024 \tabularnewline
105 & 2709 & 2615.33 & 2525.21 & 90.126 & 93.6656 \tabularnewline
106 & 3206 & 3117.73 & 2517.33 & 600.401 & 88.2656 \tabularnewline
107 & 2214 & 2244.23 & 2507.17 & -262.932 & -30.2344 \tabularnewline
108 & 2531 & 2550.98 & 2500.83 & 50.1469 & -19.9802 \tabularnewline
109 & 2119 & 2236.93 & 2499.46 & -262.524 & -117.934 \tabularnewline
110 & 2369 & 2338.76 & 2509.29 & -170.528 & 30.2365 \tabularnewline
111 & 2682 & 2474.2 & 2505.67 & -31.4656 & 207.799 \tabularnewline
112 & 1840 & 1998.27 & 2485.96 & -487.691 & -158.268 \tabularnewline
113 & 2622 & 2588.36 & 2470.92 & 117.439 & 33.6448 \tabularnewline
114 & 2570 & 2563.77 & 2454.54 & 109.23 & 6.22812 \tabularnewline
115 & 2447 & 2585.45 & 2440 & 145.447 & -138.447 \tabularnewline
116 & 2871 & 2534.98 & 2432.63 & 102.351 & 336.024 \tabularnewline
117 & 2485 & 2503.42 & 2413.29 & 90.126 & -18.4177 \tabularnewline
118 & 2957 & 2996.44 & 2396.04 & 600.401 & -39.4427 \tabularnewline
119 & 2102 & 2131.03 & 2393.96 & -262.932 & -29.026 \tabularnewline
120 & 2250 & 2428.23 & 2378.08 & 50.1469 & -178.23 \tabularnewline
121 & 2051 & 2086.93 & 2349.46 & -262.524 & -35.9344 \tabularnewline
122 & 2260 & 2165.14 & 2335.67 & -170.528 & 94.8615 \tabularnewline
123 & 2327 & 2281.58 & 2313.04 & -31.4656 & 45.424 \tabularnewline
124 & 1781 & 1799.1 & 2286.79 & -487.691 & -18.101 \tabularnewline
125 & 2631 & 2403.4 & 2285.96 & 117.439 & 227.603 \tabularnewline
126 & 2180 & 2379.4 & 2270.17 & 109.23 & -199.397 \tabularnewline
127 & 2150 & NA & NA & 145.447 & NA \tabularnewline
128 & 2837 & NA & NA & 102.351 & NA \tabularnewline
129 & 1976 & NA & NA & 90.126 & NA \tabularnewline
130 & 2836 & NA & NA & 600.401 & NA \tabularnewline
131 & 2203 & NA & NA & -262.932 & NA \tabularnewline
132 & 1770 & NA & NA & 50.1469 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265403&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]2132[/C][C]NA[/C][C]NA[/C][C]-262.524[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1964[/C][C]NA[/C][C]NA[/C][C]-170.528[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]2209[/C][C]NA[/C][C]NA[/C][C]-31.4656[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]1965[/C][C]NA[/C][C]NA[/C][C]-487.691[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]2631[/C][C]NA[/C][C]NA[/C][C]117.439[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]2583[/C][C]NA[/C][C]NA[/C][C]109.23[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]2714[/C][C]2569.07[/C][C]2423.62[/C][C]145.447[/C][C]144.928[/C][/ROW]
[ROW][C]8[/C][C]2248[/C][C]2548.18[/C][C]2445.83[/C][C]102.351[/C][C]-300.184[/C][/ROW]
[ROW][C]9[/C][C]2364[/C][C]2553.88[/C][C]2463.75[/C][C]90.126[/C][C]-189.876[/C][/ROW]
[ROW][C]10[/C][C]3042[/C][C]3093.61[/C][C]2493.21[/C][C]600.401[/C][C]-51.6094[/C][/ROW]
[ROW][C]11[/C][C]2316[/C][C]2245.86[/C][C]2508.79[/C][C]-262.932[/C][C]70.1406[/C][/ROW]
[ROW][C]12[/C][C]2735[/C][C]2563.52[/C][C]2513.38[/C][C]50.1469[/C][C]171.478[/C][/ROW]
[ROW][C]13[/C][C]2493[/C][C]2270.39[/C][C]2532.92[/C][C]-262.524[/C][C]222.607[/C][/ROW]
[ROW][C]14[/C][C]2136[/C][C]2387.76[/C][C]2558.29[/C][C]-170.528[/C][C]-251.764[/C][/ROW]
[ROW][C]15[/C][C]2467[/C][C]2567.08[/C][C]2598.54[/C][C]-31.4656[/C][C]-100.076[/C][/ROW]
[ROW][C]16[/C][C]2414[/C][C]2155.35[/C][C]2643.04[/C][C]-487.691[/C][C]258.649[/C][/ROW]
[ROW][C]17[/C][C]2556[/C][C]2787.61[/C][C]2670.17[/C][C]117.439[/C][C]-231.605[/C][/ROW]
[ROW][C]18[/C][C]2768[/C][C]2807.56[/C][C]2698.33[/C][C]109.23[/C][C]-39.5635[/C][/ROW]
[ROW][C]19[/C][C]2998[/C][C]2870.78[/C][C]2725.33[/C][C]145.447[/C][C]127.22[/C][/ROW]
[ROW][C]20[/C][C]2573[/C][C]2836.6[/C][C]2734.25[/C][C]102.351[/C][C]-263.601[/C][/ROW]
[ROW][C]21[/C][C]3005[/C][C]2850.04[/C][C]2759.92[/C][C]90.126[/C][C]154.957[/C][/ROW]
[ROW][C]22[/C][C]3469[/C][C]3384.53[/C][C]2784.12[/C][C]600.401[/C][C]84.474[/C][/ROW]
[ROW][C]23[/C][C]2540[/C][C]2530.11[/C][C]2793.04[/C][C]-262.932[/C][C]9.89062[/C][/ROW]
[ROW][C]24[/C][C]3187[/C][C]2886.61[/C][C]2836.46[/C][C]50.1469[/C][C]300.395[/C][/ROW]
[ROW][C]25[/C][C]2689[/C][C]2604.27[/C][C]2866.79[/C][C]-262.524[/C][C]84.7323[/C][/ROW]
[ROW][C]26[/C][C]2154[/C][C]2711.64[/C][C]2882.17[/C][C]-170.528[/C][C]-557.639[/C][/ROW]
[ROW][C]27[/C][C]3065[/C][C]2879.53[/C][C]2911[/C][C]-31.4656[/C][C]185.466[/C][/ROW]
[ROW][C]28[/C][C]2397[/C][C]2427.43[/C][C]2915.12[/C][C]-487.691[/C][C]-30.4344[/C][/ROW]
[ROW][C]29[/C][C]2787[/C][C]3039.19[/C][C]2921.75[/C][C]117.439[/C][C]-252.189[/C][/ROW]
[ROW][C]30[/C][C]3579[/C][C]3049.94[/C][C]2940.71[/C][C]109.23[/C][C]529.061[/C][/ROW]
[ROW][C]31[/C][C]2915[/C][C]3074.78[/C][C]2929.33[/C][C]145.447[/C][C]-159.78[/C][/ROW]
[ROW][C]32[/C][C]3025[/C][C]3032.02[/C][C]2929.67[/C][C]102.351[/C][C]-7.01771[/C][/ROW]
[ROW][C]33[/C][C]3245[/C][C]3019.58[/C][C]2929.46[/C][C]90.126[/C][C]225.416[/C][/ROW]
[ROW][C]34[/C][C]3328[/C][C]3489.11[/C][C]2888.71[/C][C]600.401[/C][C]-161.109[/C][/ROW]
[ROW][C]35[/C][C]2840[/C][C]2594.65[/C][C]2857.58[/C][C]-262.932[/C][C]245.349[/C][/ROW]
[ROW][C]36[/C][C]3342[/C][C]2860.11[/C][C]2809.96[/C][C]50.1469[/C][C]481.895[/C][/ROW]
[ROW][C]37[/C][C]2261[/C][C]2497.06[/C][C]2759.58[/C][C]-262.524[/C][C]-236.059[/C][/ROW]
[ROW][C]38[/C][C]2590[/C][C]2568.47[/C][C]2739[/C][C]-170.528[/C][C]21.5281[/C][/ROW]
[ROW][C]39[/C][C]2624[/C][C]2661.16[/C][C]2692.63[/C][C]-31.4656[/C][C]-37.1594[/C][/ROW]
[ROW][C]40[/C][C]1860[/C][C]2156.18[/C][C]2643.88[/C][C]-487.691[/C][C]-296.184[/C][/ROW]
[ROW][C]41[/C][C]2577[/C][C]2723.31[/C][C]2605.88[/C][C]117.439[/C][C]-146.314[/C][/ROW]
[ROW][C]42[/C][C]2646[/C][C]2652.27[/C][C]2543.04[/C][C]109.23[/C][C]-6.27187[/C][/ROW]
[ROW][C]43[/C][C]2639[/C][C]2639.95[/C][C]2494.5[/C][C]145.447[/C][C]-0.946875[/C][/ROW]
[ROW][C]44[/C][C]2807[/C][C]2579.73[/C][C]2477.38[/C][C]102.351[/C][C]227.274[/C][/ROW]
[ROW][C]45[/C][C]2350[/C][C]2553.17[/C][C]2463.04[/C][C]90.126[/C][C]-203.168[/C][/ROW]
[ROW][C]46[/C][C]3053[/C][C]3055.82[/C][C]2455.42[/C][C]600.401[/C][C]-2.81771[/C][/ROW]
[ROW][C]47[/C][C]2203[/C][C]2200.78[/C][C]2463.71[/C][C]-262.932[/C][C]2.22396[/C][/ROW]
[ROW][C]48[/C][C]2471[/C][C]2505.77[/C][C]2455.62[/C][C]50.1469[/C][C]-34.7719[/C][/ROW]
[ROW][C]49[/C][C]1967[/C][C]2182.52[/C][C]2445.04[/C][C]-262.524[/C][C]-215.518[/C][/ROW]
[ROW][C]50[/C][C]2473[/C][C]2274.81[/C][C]2445.33[/C][C]-170.528[/C][C]198.195[/C][/ROW]
[ROW][C]51[/C][C]2397[/C][C]2407.95[/C][C]2439.42[/C][C]-31.4656[/C][C]-10.951[/C][/ROW]
[ROW][C]52[/C][C]1904[/C][C]1957.39[/C][C]2445.08[/C][C]-487.691[/C][C]-53.3927[/C][/ROW]
[ROW][C]53[/C][C]2732[/C][C]2568.9[/C][C]2451.46[/C][C]117.439[/C][C]163.103[/C][/ROW]
[ROW][C]54[/C][C]2297[/C][C]2550.4[/C][C]2441.17[/C][C]109.23[/C][C]-253.397[/C][/ROW]
[ROW][C]55[/C][C]2734[/C][C]2596.24[/C][C]2450.79[/C][C]145.447[/C][C]137.761[/C][/ROW]
[ROW][C]56[/C][C]2719[/C][C]2574.14[/C][C]2471.79[/C][C]102.351[/C][C]144.857[/C][/ROW]
[ROW][C]57[/C][C]2296[/C][C]2561.5[/C][C]2471.37[/C][C]90.126[/C][C]-265.501[/C][/ROW]
[ROW][C]58[/C][C]3243[/C][C]3080.15[/C][C]2479.75[/C][C]600.401[/C][C]162.849[/C][/ROW]
[ROW][C]59[/C][C]2166[/C][C]2231.19[/C][C]2494.12[/C][C]-262.932[/C][C]-65.1927[/C][/ROW]
[ROW][C]60[/C][C]2261[/C][C]2560.02[/C][C]2509.88[/C][C]50.1469[/C][C]-299.022[/C][/ROW]
[ROW][C]61[/C][C]2408[/C][C]2262.14[/C][C]2524.67[/C][C]-262.524[/C][C]145.857[/C][/ROW]
[ROW][C]62[/C][C]2536[/C][C]2353.51[/C][C]2524.04[/C][C]-170.528[/C][C]182.486[/C][/ROW]
[ROW][C]63[/C][C]2324[/C][C]2510.99[/C][C]2542.46[/C][C]-31.4656[/C][C]-186.993[/C][/ROW]
[ROW][C]64[/C][C]2178[/C][C]2070.77[/C][C]2558.46[/C][C]-487.691[/C][C]107.232[/C][/ROW]
[ROW][C]65[/C][C]2803[/C][C]2680.31[/C][C]2562.87[/C][C]117.439[/C][C]122.686[/C][/ROW]
[ROW][C]66[/C][C]2604[/C][C]2680.4[/C][C]2571.17[/C][C]109.23[/C][C]-76.3969[/C][/ROW]
[ROW][C]67[/C][C]2782[/C][C]2717.24[/C][C]2571.79[/C][C]145.447[/C][C]64.7615[/C][/ROW]
[ROW][C]68[/C][C]2656[/C][C]2678.43[/C][C]2576.08[/C][C]102.351[/C][C]-22.4344[/C][/ROW]
[ROW][C]69[/C][C]2801[/C][C]2674.67[/C][C]2584.54[/C][C]90.126[/C][C]126.332[/C][/ROW]
[ROW][C]70[/C][C]3122[/C][C]3192.23[/C][C]2591.83[/C][C]600.401[/C][C]-70.2344[/C][/ROW]
[ROW][C]71[/C][C]2393[/C][C]2336.28[/C][C]2599.21[/C][C]-262.932[/C][C]56.724[/C][/ROW]
[ROW][C]72[/C][C]2233[/C][C]2651.36[/C][C]2601.21[/C][C]50.1469[/C][C]-418.355[/C][/ROW]
[ROW][C]73[/C][C]2451[/C][C]2344.52[/C][C]2607.04[/C][C]-262.524[/C][C]106.482[/C][/ROW]
[ROW][C]74[/C][C]2596[/C][C]2435.76[/C][C]2606.29[/C][C]-170.528[/C][C]160.236[/C][/ROW]
[ROW][C]75[/C][C]2467[/C][C]2564.91[/C][C]2596.37[/C][C]-31.4656[/C][C]-97.9094[/C][/ROW]
[ROW][C]76[/C][C]2210[/C][C]2117.02[/C][C]2604.71[/C][C]-487.691[/C][C]92.9823[/C][/ROW]
[ROW][C]77[/C][C]2948[/C][C]2717.61[/C][C]2600.17[/C][C]117.439[/C][C]230.395[/C][/ROW]
[ROW][C]78[/C][C]2507[/C][C]2711.77[/C][C]2602.54[/C][C]109.23[/C][C]-204.772[/C][/ROW]
[ROW][C]79[/C][C]3019[/C][C]2760.7[/C][C]2615.25[/C][C]145.447[/C][C]258.303[/C][/ROW]
[ROW][C]80[/C][C]2401[/C][C]2708.27[/C][C]2605.92[/C][C]102.351[/C][C]-307.268[/C][/ROW]
[ROW][C]81[/C][C]2818[/C][C]2688.38[/C][C]2598.25[/C][C]90.126[/C][C]129.624[/C][/ROW]
[ROW][C]82[/C][C]3305[/C][C]3199.23[/C][C]2598.83[/C][C]600.401[/C][C]105.766[/C][/ROW]
[ROW][C]83[/C][C]2101[/C][C]2322.82[/C][C]2585.75[/C][C]-262.932[/C][C]-221.818[/C][/ROW]
[ROW][C]84[/C][C]2582[/C][C]2639.86[/C][C]2589.71[/C][C]50.1469[/C][C]-57.8552[/C][/ROW]
[ROW][C]85[/C][C]2407[/C][C]2330.35[/C][C]2592.88[/C][C]-262.524[/C][C]76.649[/C][/ROW]
[ROW][C]86[/C][C]2416[/C][C]2424.68[/C][C]2595.21[/C][C]-170.528[/C][C]-8.68021[/C][/ROW]
[ROW][C]87[/C][C]2463[/C][C]2574.28[/C][C]2605.75[/C][C]-31.4656[/C][C]-111.284[/C][/ROW]
[ROW][C]88[/C][C]2228[/C][C]2103.6[/C][C]2591.29[/C][C]-487.691[/C][C]124.399[/C][/ROW]
[ROW][C]89[/C][C]2616[/C][C]2709.86[/C][C]2592.42[/C][C]117.439[/C][C]-93.8552[/C][/ROW]
[ROW][C]90[/C][C]2934[/C][C]2716.48[/C][C]2607.25[/C][C]109.23[/C][C]217.52[/C][/ROW]
[ROW][C]91[/C][C]2668[/C][C]2753.78[/C][C]2608.33[/C][C]145.447[/C][C]-85.7802[/C][/ROW]
[ROW][C]92[/C][C]2808[/C][C]2711.02[/C][C]2608.67[/C][C]102.351[/C][C]96.9823[/C][/ROW]
[ROW][C]93[/C][C]2664[/C][C]2711.38[/C][C]2621.25[/C][C]90.126[/C][C]-47.376[/C][/ROW]
[ROW][C]94[/C][C]3112[/C][C]3222.48[/C][C]2622.08[/C][C]600.401[/C][C]-110.484[/C][/ROW]
[ROW][C]95[/C][C]2321[/C][C]2353.4[/C][C]2616.33[/C][C]-262.932[/C][C]-32.401[/C][/ROW]
[ROW][C]96[/C][C]2718[/C][C]2657.9[/C][C]2607.75[/C][C]50.1469[/C][C]60.1031[/C][/ROW]
[ROW][C]97[/C][C]2297[/C][C]2322.23[/C][C]2584.75[/C][C]-262.524[/C][C]-25.226[/C][/ROW]
[ROW][C]98[/C][C]2534[/C][C]2397.81[/C][C]2568.33[/C][C]-170.528[/C][C]136.195[/C][/ROW]
[ROW][C]99[/C][C]2647[/C][C]2535.66[/C][C]2567.12[/C][C]-31.4656[/C][C]111.341[/C][/ROW]
[ROW][C]100[/C][C]2064[/C][C]2085.23[/C][C]2572.92[/C][C]-487.691[/C][C]-21.226[/C][/ROW]
[ROW][C]101[/C][C]2642[/C][C]2689.81[/C][C]2572.38[/C][C]117.439[/C][C]-47.8135[/C][/ROW]
[ROW][C]102[/C][C]2702[/C][C]2669.36[/C][C]2560.12[/C][C]109.23[/C][C]32.6448[/C][/ROW]
[ROW][C]103[/C][C]2348[/C][C]2690.36[/C][C]2544.92[/C][C]145.447[/C][C]-342.364[/C][/ROW]
[ROW][C]104[/C][C]2734[/C][C]2632.98[/C][C]2530.63[/C][C]102.351[/C][C]101.024[/C][/ROW]
[ROW][C]105[/C][C]2709[/C][C]2615.33[/C][C]2525.21[/C][C]90.126[/C][C]93.6656[/C][/ROW]
[ROW][C]106[/C][C]3206[/C][C]3117.73[/C][C]2517.33[/C][C]600.401[/C][C]88.2656[/C][/ROW]
[ROW][C]107[/C][C]2214[/C][C]2244.23[/C][C]2507.17[/C][C]-262.932[/C][C]-30.2344[/C][/ROW]
[ROW][C]108[/C][C]2531[/C][C]2550.98[/C][C]2500.83[/C][C]50.1469[/C][C]-19.9802[/C][/ROW]
[ROW][C]109[/C][C]2119[/C][C]2236.93[/C][C]2499.46[/C][C]-262.524[/C][C]-117.934[/C][/ROW]
[ROW][C]110[/C][C]2369[/C][C]2338.76[/C][C]2509.29[/C][C]-170.528[/C][C]30.2365[/C][/ROW]
[ROW][C]111[/C][C]2682[/C][C]2474.2[/C][C]2505.67[/C][C]-31.4656[/C][C]207.799[/C][/ROW]
[ROW][C]112[/C][C]1840[/C][C]1998.27[/C][C]2485.96[/C][C]-487.691[/C][C]-158.268[/C][/ROW]
[ROW][C]113[/C][C]2622[/C][C]2588.36[/C][C]2470.92[/C][C]117.439[/C][C]33.6448[/C][/ROW]
[ROW][C]114[/C][C]2570[/C][C]2563.77[/C][C]2454.54[/C][C]109.23[/C][C]6.22812[/C][/ROW]
[ROW][C]115[/C][C]2447[/C][C]2585.45[/C][C]2440[/C][C]145.447[/C][C]-138.447[/C][/ROW]
[ROW][C]116[/C][C]2871[/C][C]2534.98[/C][C]2432.63[/C][C]102.351[/C][C]336.024[/C][/ROW]
[ROW][C]117[/C][C]2485[/C][C]2503.42[/C][C]2413.29[/C][C]90.126[/C][C]-18.4177[/C][/ROW]
[ROW][C]118[/C][C]2957[/C][C]2996.44[/C][C]2396.04[/C][C]600.401[/C][C]-39.4427[/C][/ROW]
[ROW][C]119[/C][C]2102[/C][C]2131.03[/C][C]2393.96[/C][C]-262.932[/C][C]-29.026[/C][/ROW]
[ROW][C]120[/C][C]2250[/C][C]2428.23[/C][C]2378.08[/C][C]50.1469[/C][C]-178.23[/C][/ROW]
[ROW][C]121[/C][C]2051[/C][C]2086.93[/C][C]2349.46[/C][C]-262.524[/C][C]-35.9344[/C][/ROW]
[ROW][C]122[/C][C]2260[/C][C]2165.14[/C][C]2335.67[/C][C]-170.528[/C][C]94.8615[/C][/ROW]
[ROW][C]123[/C][C]2327[/C][C]2281.58[/C][C]2313.04[/C][C]-31.4656[/C][C]45.424[/C][/ROW]
[ROW][C]124[/C][C]1781[/C][C]1799.1[/C][C]2286.79[/C][C]-487.691[/C][C]-18.101[/C][/ROW]
[ROW][C]125[/C][C]2631[/C][C]2403.4[/C][C]2285.96[/C][C]117.439[/C][C]227.603[/C][/ROW]
[ROW][C]126[/C][C]2180[/C][C]2379.4[/C][C]2270.17[/C][C]109.23[/C][C]-199.397[/C][/ROW]
[ROW][C]127[/C][C]2150[/C][C]NA[/C][C]NA[/C][C]145.447[/C][C]NA[/C][/ROW]
[ROW][C]128[/C][C]2837[/C][C]NA[/C][C]NA[/C][C]102.351[/C][C]NA[/C][/ROW]
[ROW][C]129[/C][C]1976[/C][C]NA[/C][C]NA[/C][C]90.126[/C][C]NA[/C][/ROW]
[ROW][C]130[/C][C]2836[/C][C]NA[/C][C]NA[/C][C]600.401[/C][C]NA[/C][/ROW]
[ROW][C]131[/C][C]2203[/C][C]NA[/C][C]NA[/C][C]-262.932[/C][C]NA[/C][/ROW]
[ROW][C]132[/C][C]1770[/C][C]NA[/C][C]NA[/C][C]50.1469[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265403&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265403&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	2132	NA	NA	-262.524	NA
2	1964	NA	NA	-170.528	NA
3	2209	NA	NA	-31.4656	NA
4	1965	NA	NA	-487.691	NA
5	2631	NA	NA	117.439	NA
6	2583	NA	NA	109.23	NA
7	2714	2569.07	2423.62	145.447	144.928
8	2248	2548.18	2445.83	102.351	-300.184
9	2364	2553.88	2463.75	90.126	-189.876
10	3042	3093.61	2493.21	600.401	-51.6094
11	2316	2245.86	2508.79	-262.932	70.1406
12	2735	2563.52	2513.38	50.1469	171.478
13	2493	2270.39	2532.92	-262.524	222.607
14	2136	2387.76	2558.29	-170.528	-251.764
15	2467	2567.08	2598.54	-31.4656	-100.076
16	2414	2155.35	2643.04	-487.691	258.649
17	2556	2787.61	2670.17	117.439	-231.605
18	2768	2807.56	2698.33	109.23	-39.5635
19	2998	2870.78	2725.33	145.447	127.22
20	2573	2836.6	2734.25	102.351	-263.601
21	3005	2850.04	2759.92	90.126	154.957
22	3469	3384.53	2784.12	600.401	84.474
23	2540	2530.11	2793.04	-262.932	9.89062
24	3187	2886.61	2836.46	50.1469	300.395
25	2689	2604.27	2866.79	-262.524	84.7323
26	2154	2711.64	2882.17	-170.528	-557.639
27	3065	2879.53	2911	-31.4656	185.466
28	2397	2427.43	2915.12	-487.691	-30.4344
29	2787	3039.19	2921.75	117.439	-252.189
30	3579	3049.94	2940.71	109.23	529.061
31	2915	3074.78	2929.33	145.447	-159.78
32	3025	3032.02	2929.67	102.351	-7.01771
33	3245	3019.58	2929.46	90.126	225.416
34	3328	3489.11	2888.71	600.401	-161.109
35	2840	2594.65	2857.58	-262.932	245.349
36	3342	2860.11	2809.96	50.1469	481.895
37	2261	2497.06	2759.58	-262.524	-236.059
38	2590	2568.47	2739	-170.528	21.5281
39	2624	2661.16	2692.63	-31.4656	-37.1594
40	1860	2156.18	2643.88	-487.691	-296.184
41	2577	2723.31	2605.88	117.439	-146.314
42	2646	2652.27	2543.04	109.23	-6.27187
43	2639	2639.95	2494.5	145.447	-0.946875
44	2807	2579.73	2477.38	102.351	227.274
45	2350	2553.17	2463.04	90.126	-203.168
46	3053	3055.82	2455.42	600.401	-2.81771
47	2203	2200.78	2463.71	-262.932	2.22396
48	2471	2505.77	2455.62	50.1469	-34.7719
49	1967	2182.52	2445.04	-262.524	-215.518
50	2473	2274.81	2445.33	-170.528	198.195
51	2397	2407.95	2439.42	-31.4656	-10.951
52	1904	1957.39	2445.08	-487.691	-53.3927
53	2732	2568.9	2451.46	117.439	163.103
54	2297	2550.4	2441.17	109.23	-253.397
55	2734	2596.24	2450.79	145.447	137.761
56	2719	2574.14	2471.79	102.351	144.857
57	2296	2561.5	2471.37	90.126	-265.501
58	3243	3080.15	2479.75	600.401	162.849
59	2166	2231.19	2494.12	-262.932	-65.1927
60	2261	2560.02	2509.88	50.1469	-299.022
61	2408	2262.14	2524.67	-262.524	145.857
62	2536	2353.51	2524.04	-170.528	182.486
63	2324	2510.99	2542.46	-31.4656	-186.993
64	2178	2070.77	2558.46	-487.691	107.232
65	2803	2680.31	2562.87	117.439	122.686
66	2604	2680.4	2571.17	109.23	-76.3969
67	2782	2717.24	2571.79	145.447	64.7615
68	2656	2678.43	2576.08	102.351	-22.4344
69	2801	2674.67	2584.54	90.126	126.332
70	3122	3192.23	2591.83	600.401	-70.2344
71	2393	2336.28	2599.21	-262.932	56.724
72	2233	2651.36	2601.21	50.1469	-418.355
73	2451	2344.52	2607.04	-262.524	106.482
74	2596	2435.76	2606.29	-170.528	160.236
75	2467	2564.91	2596.37	-31.4656	-97.9094
76	2210	2117.02	2604.71	-487.691	92.9823
77	2948	2717.61	2600.17	117.439	230.395
78	2507	2711.77	2602.54	109.23	-204.772
79	3019	2760.7	2615.25	145.447	258.303
80	2401	2708.27	2605.92	102.351	-307.268
81	2818	2688.38	2598.25	90.126	129.624
82	3305	3199.23	2598.83	600.401	105.766
83	2101	2322.82	2585.75	-262.932	-221.818
84	2582	2639.86	2589.71	50.1469	-57.8552
85	2407	2330.35	2592.88	-262.524	76.649
86	2416	2424.68	2595.21	-170.528	-8.68021
87	2463	2574.28	2605.75	-31.4656	-111.284
88	2228	2103.6	2591.29	-487.691	124.399
89	2616	2709.86	2592.42	117.439	-93.8552
90	2934	2716.48	2607.25	109.23	217.52
91	2668	2753.78	2608.33	145.447	-85.7802
92	2808	2711.02	2608.67	102.351	96.9823
93	2664	2711.38	2621.25	90.126	-47.376
94	3112	3222.48	2622.08	600.401	-110.484
95	2321	2353.4	2616.33	-262.932	-32.401
96	2718	2657.9	2607.75	50.1469	60.1031
97	2297	2322.23	2584.75	-262.524	-25.226
98	2534	2397.81	2568.33	-170.528	136.195
99	2647	2535.66	2567.12	-31.4656	111.341
100	2064	2085.23	2572.92	-487.691	-21.226
101	2642	2689.81	2572.38	117.439	-47.8135
102	2702	2669.36	2560.12	109.23	32.6448
103	2348	2690.36	2544.92	145.447	-342.364
104	2734	2632.98	2530.63	102.351	101.024
105	2709	2615.33	2525.21	90.126	93.6656
106	3206	3117.73	2517.33	600.401	88.2656
107	2214	2244.23	2507.17	-262.932	-30.2344
108	2531	2550.98	2500.83	50.1469	-19.9802
109	2119	2236.93	2499.46	-262.524	-117.934
110	2369	2338.76	2509.29	-170.528	30.2365
111	2682	2474.2	2505.67	-31.4656	207.799
112	1840	1998.27	2485.96	-487.691	-158.268
113	2622	2588.36	2470.92	117.439	33.6448
114	2570	2563.77	2454.54	109.23	6.22812
115	2447	2585.45	2440	145.447	-138.447
116	2871	2534.98	2432.63	102.351	336.024
117	2485	2503.42	2413.29	90.126	-18.4177
118	2957	2996.44	2396.04	600.401	-39.4427
119	2102	2131.03	2393.96	-262.932	-29.026
120	2250	2428.23	2378.08	50.1469	-178.23
121	2051	2086.93	2349.46	-262.524	-35.9344
122	2260	2165.14	2335.67	-170.528	94.8615
123	2327	2281.58	2313.04	-31.4656	45.424
124	1781	1799.1	2286.79	-487.691	-18.101
125	2631	2403.4	2285.96	117.439	227.603
126	2180	2379.4	2270.17	109.23	-199.397
127	2150	NA	NA	145.447	NA
128	2837	NA	NA	102.351	NA
129	1976	NA	NA	90.126	NA
130	2836	NA	NA	600.401	NA
131	2203	NA	NA	-262.932	NA
132	1770	NA	NA	50.1469	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 = additive ; par2 = 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