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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sun, 18 Aug 2013 10:25:18 -0400

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Aug/18/t13768359943qxhyxlvz7cbw0y.htm/, Retrieved Wed, 08 May 2024 11:27:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211188, Retrieved Wed, 08 May 2024 11:27:54 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Jespers Eva

Estimated Impact

158

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

-     [Histogram] [Tijdreeks A - Stap 3] [2013-08-18 09:07:17] [b1b8dc218b2120b615e99c976a670bd0]
- RMPD  [Harrell-Davis Quantiles] [Tijdreeks A - Sta...] [2013-08-18 11:01:33] [b1b8dc218b2120b615e99c976a670bd0]
- RMP     [Mean Plot] [Tijdreeks A - Sta...] [2013-08-18 13:01:51] [b1b8dc218b2120b615e99c976a670bd0]
- RMP         [Classical Decomposition] [Tijdreeks A - Sta...] [2013-08-18 14:25:18] [987ccabfb1247e6edeac48c68eb55107] [Current]

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Dataseries X:

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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	4 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211188&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211188&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211188&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	2443.6	NA	NA	-0.662907	NA
2	2460.2	NA	NA	0.665009	NA
3	2448.2	NA	NA	-0.322907	NA
4	2470.4	NA	NA	5.11043	NA
5	2484.7	NA	NA	0.837093	NA
6	2466.8	NA	NA	-8.80874	NA
7	2487.9	2488.38	2493.84	-5.46188	-0.479782
8	2508.4	2503.48	2502.36	1.11804	4.91946
9	2510.5	2508.37	2509.88	-1.51166	2.13249
10	2497.4	2516.77	2517.44	-0.669157	-19.3683
11	2532.5	2533.52	2525.41	8.10668	-1.01501
12	2556.8	2536.05	2534.45	1.60001	20.7542
13	2561	2542.34	2543	-0.662907	18.6587
14	2547.3	2550.86	2550.2	0.665009	-3.56084
15	2541.5	2556.76	2557.09	-0.322907	-15.2646
16	2558.5	2569.81	2564.7	5.11043	-11.3104
17	2587.9	2571.97	2571.14	0.837093	15.9254
18	2580.5	2566.13	2574.94	-8.80874	14.3712
19	2579.6	2572.63	2578.09	-5.46188	6.97438
20	2589.3	2582.49	2581.37	1.11804	6.81113
21	2595	2582.77	2584.28	-1.51166	12.2283
22	2595.6	2586.56	2587.23	-0.669157	9.03999
23	2588.8	2597.49	2589.38	8.10668	-8.68584
24	2591.7	2591.1	2589.5	1.60001	0.604157
25	2601.7	2588	2588.66	-0.662907	13.7046
26	2585.4	2588.72	2588.05	0.665009	-3.31501
27	2573.3	2588.12	2588.44	-0.322907	-14.8188
28	2597.4	2595.03	2589.92	5.11043	2.37291
29	2600.6	2593	2592.16	0.837093	7.60457
30	2570.6	2582.56	2591.37	-8.80874	-11.9579
31	2569.4	2581.8	2587.27	-5.46188	-12.4048
32	2584.9	2587.11	2585.99	1.11804	-2.20554
33	2608.8	2587.23	2588.75	-1.51166	21.5658
34	2617.2	2591.95	2592.62	-0.669157	25.2483
35	2621	2604.2	2596.1	8.10668	16.7975
36	2540.5	2601.42	2599.82	1.60001	-60.9167
37	2554.5	2603.49	2604.15	-0.662907	-48.9871
38	2601.9	2609.32	2608.65	0.665009	-7.41918
39	2623	2612.09	2612.41	-0.322907	10.9104
40	2640.7	2621.66	2616.55	5.11043	19.0396
41	2640.7	2621.99	2621.15	0.837093	18.7129
42	2619.8	2619.51	2628.32	-8.80874	0.287907
43	2624.2	2632.56	2638.02	-5.46188	-8.36312
44	2638.2	2646.41	2645.29	1.11804	-8.20554
45	2645.7	2647.76	2649.27	-1.51166	-2.06334
46	2679.6	2649.45	2650.12	-0.669157	30.1483
47	2669	2657.23	2649.12	8.10668	11.7725
48	2664.6	2651.05	2649.45	1.60001	13.5458
49	2663.3	2649.78	2650.44	-0.662907	13.5212
50	2667.4	2649.83	2649.17	0.665009	17.5683
51	2653.2	2645.36	2645.69	-0.322907	7.83541
52	2630.8	2644.66	2639.55	5.11043	-13.8604
53	2626.6	2633.04	2632.2	0.837093	-6.44126
54	2641.9	2617.37	2626.18	-8.80874	24.5296
55	2625.8	2614.55	2620.01	-5.46188	11.2536
56	2606	2613.85	2612.73	1.11804	-7.85137
57	2594.4	2605.13	2606.64	-1.51166	-10.73
58	2583.6	2602.2	2602.87	-0.669157	-18.5975
59	2588.7	2608.36	2600.25	8.10668	-19.6567
60	2600.3	2599.86	2598.26	1.60001	0.441657
61	2579.5	2597.58	2598.24	-0.662907	-18.0788
62	2576.6	2601.32	2600.66	0.665009	-24.7233
63	2597.8	2603.23	2603.55	-0.322907	-5.42709
64	2595.6	2611.67	2606.56	5.11043	-16.0688
65	2599	2609.42	2608.58	0.837093	-10.4163
66	2621.7	2600.05	2608.86	-8.80874	21.6504
67	2645.6	2603.55	2609.02	-5.46188	42.0452
68	2644.2	2610.08	2608.97	1.11804	34.1153
69	2625.6	2605.43	2606.94	-1.51166	20.17
70	2624.6	2603.61	2604.28	-0.669157	20.99
71	2596.2	2610.58	2602.47	8.10668	-14.3775
72	2599.5	2601.36	2599.76	1.60001	-1.86251
73	2584.1	2594.95	2595.61	-0.662907	-10.8496
74	2570.8	2592.11	2591.45	0.665009	-21.3108
75	2555	2587.25	2587.57	-0.322907	-32.2479
76	2574.5	2587.89	2582.78	5.11043	-13.3896
77	2576.7	2579.44	2578.6	0.837093	-2.74126
78	2579	2565.37	2574.18	-8.80874	13.6337
79	2588.7	2562.85	2568.32	-5.46188	25.8452
80	2601.1	2566.03	2564.91	1.11804	35.0695
81	2575.7	2562.82	2564.33	-1.51166	12.8825
82	2559.5	2563.7	2564.37	-0.669157	-4.19751
83	2561.1	2572.14	2564.03	8.10668	-11.0358
84	2528.3	2563.95	2562.35	1.60001	-35.6542
85	2514.7	2557.92	2558.59	-0.662907	-43.2246
86	2558.5	2554.21	2553.54	0.665009	4.29332
87	2553.3	2548.98	2549.3	-0.322907	4.31874
88	2577.1	2551.79	2546.68	5.11043	25.3104
89	2566	2546.53	2545.7	0.837093	19.4671
90	2549.5	2537.91	2546.72	-8.80874	11.5921
91	2527.8	2544.9	2550.36	-5.46188	-17.0964
92	2540.9	2553.51	2552.39	1.11804	-12.6097
93	2534.2	2550.73	2552.24	-1.51166	-16.5258
94	2538	2550.64	2551.31	-0.669157	-12.6433
95	2559	2555.52	2547.41	8.10668	3.48082
96	2554.9	2542.78	2541.18	1.60001	12.1167
97	2575.5	2534.62	2535.28	-0.662907	40.8796
98	2546.5	2530.42	2529.76	0.665009	16.0767
99	2561.6	2522.55	2522.87	-0.322907	39.0521
100	2546.6	2520.91	2515.8	5.11043	25.6896
101	2502.9	2509.58	2508.75	0.837093	-6.68293
102	2463.1	2491.82	2500.62	-8.80874	-28.7163
103	2472.6	2484.57	2490.03	-5.46188	-11.9673
104	2463.5	2479.76	2478.65	1.11804	-16.2639
105	2446.3	2465.76	2467.27	-1.51166	-19.4592
106	2456.2	2455.22	2455.89	-0.669157	0.977491
107	2471.5	2455.44	2447.33	8.10668	16.0642
108	2447.5	2443.3	2441.7	1.60001	4.20416
109	2428.6	2435.2	2435.86	-0.662907	-6.59959
110	2420.2	2430.79	2430.12	0.665009	-10.5858
111	2414.9	2425.29	2425.61	-0.322907	-10.3896
112	2420.2	2425.29	2420.18	5.11043	-5.09376
113	2423.8	2415.85	2415.01	0.837093	7.95457
114	2407	2404.36	2413.17	-8.80874	2.63791
115	2388.7	2408.39	2413.85	-5.46188	-19.6881
116	2409.6	2416.01	2414.89	1.11804	-6.40554
117	2392	2413.85	2415.36	-1.51166	-21.8508
118	2380.2	2413.45	2414.12	-0.669157	-33.2475
119	2423.3	2418.29	2410.19	8.10668	5.00582
120	2451.6	2406.48	2404.88	1.60001	45.1167
121	2440.8	2401.47	2402.14	-0.662907	39.3254
122	2432.9	2401.57	2400.91	0.665009	31.3267
123	2413.6	2399.22	2399.54	-0.322907	14.3812
124	2391.6	2405.94	2400.83	5.11043	-14.3396
125	2358.1	2403.13	2402.3	0.837093	-45.0329
126	2345.4	2395.08	2403.89	-8.80874	-49.6788
127	2384.4	2402.33	2407.8	-5.46188	-17.9339
128	2384.4	2413.59	2412.47	1.11804	-29.1889
129	2384.4	NA	NA	-1.51166	NA
130	2418.7	NA	NA	-0.669157	NA
131	2420	NA	NA	8.10668	NA
132	2493.1	NA	NA	1.60001	NA
133	2493.1	NA	NA	-0.662907	NA
134	2492.8	NA	NA	0.665009	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 2443.6 & NA & NA & -0.662907 & NA \tabularnewline
2 & 2460.2 & NA & NA & 0.665009 & NA \tabularnewline
3 & 2448.2 & NA & NA & -0.322907 & NA \tabularnewline
4 & 2470.4 & NA & NA & 5.11043 & NA \tabularnewline
5 & 2484.7 & NA & NA & 0.837093 & NA \tabularnewline
6 & 2466.8 & NA & NA & -8.80874 & NA \tabularnewline
7 & 2487.9 & 2488.38 & 2493.84 & -5.46188 & -0.479782 \tabularnewline
8 & 2508.4 & 2503.48 & 2502.36 & 1.11804 & 4.91946 \tabularnewline
9 & 2510.5 & 2508.37 & 2509.88 & -1.51166 & 2.13249 \tabularnewline
10 & 2497.4 & 2516.77 & 2517.44 & -0.669157 & -19.3683 \tabularnewline
11 & 2532.5 & 2533.52 & 2525.41 & 8.10668 & -1.01501 \tabularnewline
12 & 2556.8 & 2536.05 & 2534.45 & 1.60001 & 20.7542 \tabularnewline
13 & 2561 & 2542.34 & 2543 & -0.662907 & 18.6587 \tabularnewline
14 & 2547.3 & 2550.86 & 2550.2 & 0.665009 & -3.56084 \tabularnewline
15 & 2541.5 & 2556.76 & 2557.09 & -0.322907 & -15.2646 \tabularnewline
16 & 2558.5 & 2569.81 & 2564.7 & 5.11043 & -11.3104 \tabularnewline
17 & 2587.9 & 2571.97 & 2571.14 & 0.837093 & 15.9254 \tabularnewline
18 & 2580.5 & 2566.13 & 2574.94 & -8.80874 & 14.3712 \tabularnewline
19 & 2579.6 & 2572.63 & 2578.09 & -5.46188 & 6.97438 \tabularnewline
20 & 2589.3 & 2582.49 & 2581.37 & 1.11804 & 6.81113 \tabularnewline
21 & 2595 & 2582.77 & 2584.28 & -1.51166 & 12.2283 \tabularnewline
22 & 2595.6 & 2586.56 & 2587.23 & -0.669157 & 9.03999 \tabularnewline
23 & 2588.8 & 2597.49 & 2589.38 & 8.10668 & -8.68584 \tabularnewline
24 & 2591.7 & 2591.1 & 2589.5 & 1.60001 & 0.604157 \tabularnewline
25 & 2601.7 & 2588 & 2588.66 & -0.662907 & 13.7046 \tabularnewline
26 & 2585.4 & 2588.72 & 2588.05 & 0.665009 & -3.31501 \tabularnewline
27 & 2573.3 & 2588.12 & 2588.44 & -0.322907 & -14.8188 \tabularnewline
28 & 2597.4 & 2595.03 & 2589.92 & 5.11043 & 2.37291 \tabularnewline
29 & 2600.6 & 2593 & 2592.16 & 0.837093 & 7.60457 \tabularnewline
30 & 2570.6 & 2582.56 & 2591.37 & -8.80874 & -11.9579 \tabularnewline
31 & 2569.4 & 2581.8 & 2587.27 & -5.46188 & -12.4048 \tabularnewline
32 & 2584.9 & 2587.11 & 2585.99 & 1.11804 & -2.20554 \tabularnewline
33 & 2608.8 & 2587.23 & 2588.75 & -1.51166 & 21.5658 \tabularnewline
34 & 2617.2 & 2591.95 & 2592.62 & -0.669157 & 25.2483 \tabularnewline
35 & 2621 & 2604.2 & 2596.1 & 8.10668 & 16.7975 \tabularnewline
36 & 2540.5 & 2601.42 & 2599.82 & 1.60001 & -60.9167 \tabularnewline
37 & 2554.5 & 2603.49 & 2604.15 & -0.662907 & -48.9871 \tabularnewline
38 & 2601.9 & 2609.32 & 2608.65 & 0.665009 & -7.41918 \tabularnewline
39 & 2623 & 2612.09 & 2612.41 & -0.322907 & 10.9104 \tabularnewline
40 & 2640.7 & 2621.66 & 2616.55 & 5.11043 & 19.0396 \tabularnewline
41 & 2640.7 & 2621.99 & 2621.15 & 0.837093 & 18.7129 \tabularnewline
42 & 2619.8 & 2619.51 & 2628.32 & -8.80874 & 0.287907 \tabularnewline
43 & 2624.2 & 2632.56 & 2638.02 & -5.46188 & -8.36312 \tabularnewline
44 & 2638.2 & 2646.41 & 2645.29 & 1.11804 & -8.20554 \tabularnewline
45 & 2645.7 & 2647.76 & 2649.27 & -1.51166 & -2.06334 \tabularnewline
46 & 2679.6 & 2649.45 & 2650.12 & -0.669157 & 30.1483 \tabularnewline
47 & 2669 & 2657.23 & 2649.12 & 8.10668 & 11.7725 \tabularnewline
48 & 2664.6 & 2651.05 & 2649.45 & 1.60001 & 13.5458 \tabularnewline
49 & 2663.3 & 2649.78 & 2650.44 & -0.662907 & 13.5212 \tabularnewline
50 & 2667.4 & 2649.83 & 2649.17 & 0.665009 & 17.5683 \tabularnewline
51 & 2653.2 & 2645.36 & 2645.69 & -0.322907 & 7.83541 \tabularnewline
52 & 2630.8 & 2644.66 & 2639.55 & 5.11043 & -13.8604 \tabularnewline
53 & 2626.6 & 2633.04 & 2632.2 & 0.837093 & -6.44126 \tabularnewline
54 & 2641.9 & 2617.37 & 2626.18 & -8.80874 & 24.5296 \tabularnewline
55 & 2625.8 & 2614.55 & 2620.01 & -5.46188 & 11.2536 \tabularnewline
56 & 2606 & 2613.85 & 2612.73 & 1.11804 & -7.85137 \tabularnewline
57 & 2594.4 & 2605.13 & 2606.64 & -1.51166 & -10.73 \tabularnewline
58 & 2583.6 & 2602.2 & 2602.87 & -0.669157 & -18.5975 \tabularnewline
59 & 2588.7 & 2608.36 & 2600.25 & 8.10668 & -19.6567 \tabularnewline
60 & 2600.3 & 2599.86 & 2598.26 & 1.60001 & 0.441657 \tabularnewline
61 & 2579.5 & 2597.58 & 2598.24 & -0.662907 & -18.0788 \tabularnewline
62 & 2576.6 & 2601.32 & 2600.66 & 0.665009 & -24.7233 \tabularnewline
63 & 2597.8 & 2603.23 & 2603.55 & -0.322907 & -5.42709 \tabularnewline
64 & 2595.6 & 2611.67 & 2606.56 & 5.11043 & -16.0688 \tabularnewline
65 & 2599 & 2609.42 & 2608.58 & 0.837093 & -10.4163 \tabularnewline
66 & 2621.7 & 2600.05 & 2608.86 & -8.80874 & 21.6504 \tabularnewline
67 & 2645.6 & 2603.55 & 2609.02 & -5.46188 & 42.0452 \tabularnewline
68 & 2644.2 & 2610.08 & 2608.97 & 1.11804 & 34.1153 \tabularnewline
69 & 2625.6 & 2605.43 & 2606.94 & -1.51166 & 20.17 \tabularnewline
70 & 2624.6 & 2603.61 & 2604.28 & -0.669157 & 20.99 \tabularnewline
71 & 2596.2 & 2610.58 & 2602.47 & 8.10668 & -14.3775 \tabularnewline
72 & 2599.5 & 2601.36 & 2599.76 & 1.60001 & -1.86251 \tabularnewline
73 & 2584.1 & 2594.95 & 2595.61 & -0.662907 & -10.8496 \tabularnewline
74 & 2570.8 & 2592.11 & 2591.45 & 0.665009 & -21.3108 \tabularnewline
75 & 2555 & 2587.25 & 2587.57 & -0.322907 & -32.2479 \tabularnewline
76 & 2574.5 & 2587.89 & 2582.78 & 5.11043 & -13.3896 \tabularnewline
77 & 2576.7 & 2579.44 & 2578.6 & 0.837093 & -2.74126 \tabularnewline
78 & 2579 & 2565.37 & 2574.18 & -8.80874 & 13.6337 \tabularnewline
79 & 2588.7 & 2562.85 & 2568.32 & -5.46188 & 25.8452 \tabularnewline
80 & 2601.1 & 2566.03 & 2564.91 & 1.11804 & 35.0695 \tabularnewline
81 & 2575.7 & 2562.82 & 2564.33 & -1.51166 & 12.8825 \tabularnewline
82 & 2559.5 & 2563.7 & 2564.37 & -0.669157 & -4.19751 \tabularnewline
83 & 2561.1 & 2572.14 & 2564.03 & 8.10668 & -11.0358 \tabularnewline
84 & 2528.3 & 2563.95 & 2562.35 & 1.60001 & -35.6542 \tabularnewline
85 & 2514.7 & 2557.92 & 2558.59 & -0.662907 & -43.2246 \tabularnewline
86 & 2558.5 & 2554.21 & 2553.54 & 0.665009 & 4.29332 \tabularnewline
87 & 2553.3 & 2548.98 & 2549.3 & -0.322907 & 4.31874 \tabularnewline
88 & 2577.1 & 2551.79 & 2546.68 & 5.11043 & 25.3104 \tabularnewline
89 & 2566 & 2546.53 & 2545.7 & 0.837093 & 19.4671 \tabularnewline
90 & 2549.5 & 2537.91 & 2546.72 & -8.80874 & 11.5921 \tabularnewline
91 & 2527.8 & 2544.9 & 2550.36 & -5.46188 & -17.0964 \tabularnewline
92 & 2540.9 & 2553.51 & 2552.39 & 1.11804 & -12.6097 \tabularnewline
93 & 2534.2 & 2550.73 & 2552.24 & -1.51166 & -16.5258 \tabularnewline
94 & 2538 & 2550.64 & 2551.31 & -0.669157 & -12.6433 \tabularnewline
95 & 2559 & 2555.52 & 2547.41 & 8.10668 & 3.48082 \tabularnewline
96 & 2554.9 & 2542.78 & 2541.18 & 1.60001 & 12.1167 \tabularnewline
97 & 2575.5 & 2534.62 & 2535.28 & -0.662907 & 40.8796 \tabularnewline
98 & 2546.5 & 2530.42 & 2529.76 & 0.665009 & 16.0767 \tabularnewline
99 & 2561.6 & 2522.55 & 2522.87 & -0.322907 & 39.0521 \tabularnewline
100 & 2546.6 & 2520.91 & 2515.8 & 5.11043 & 25.6896 \tabularnewline
101 & 2502.9 & 2509.58 & 2508.75 & 0.837093 & -6.68293 \tabularnewline
102 & 2463.1 & 2491.82 & 2500.62 & -8.80874 & -28.7163 \tabularnewline
103 & 2472.6 & 2484.57 & 2490.03 & -5.46188 & -11.9673 \tabularnewline
104 & 2463.5 & 2479.76 & 2478.65 & 1.11804 & -16.2639 \tabularnewline
105 & 2446.3 & 2465.76 & 2467.27 & -1.51166 & -19.4592 \tabularnewline
106 & 2456.2 & 2455.22 & 2455.89 & -0.669157 & 0.977491 \tabularnewline
107 & 2471.5 & 2455.44 & 2447.33 & 8.10668 & 16.0642 \tabularnewline
108 & 2447.5 & 2443.3 & 2441.7 & 1.60001 & 4.20416 \tabularnewline
109 & 2428.6 & 2435.2 & 2435.86 & -0.662907 & -6.59959 \tabularnewline
110 & 2420.2 & 2430.79 & 2430.12 & 0.665009 & -10.5858 \tabularnewline
111 & 2414.9 & 2425.29 & 2425.61 & -0.322907 & -10.3896 \tabularnewline
112 & 2420.2 & 2425.29 & 2420.18 & 5.11043 & -5.09376 \tabularnewline
113 & 2423.8 & 2415.85 & 2415.01 & 0.837093 & 7.95457 \tabularnewline
114 & 2407 & 2404.36 & 2413.17 & -8.80874 & 2.63791 \tabularnewline
115 & 2388.7 & 2408.39 & 2413.85 & -5.46188 & -19.6881 \tabularnewline
116 & 2409.6 & 2416.01 & 2414.89 & 1.11804 & -6.40554 \tabularnewline
117 & 2392 & 2413.85 & 2415.36 & -1.51166 & -21.8508 \tabularnewline
118 & 2380.2 & 2413.45 & 2414.12 & -0.669157 & -33.2475 \tabularnewline
119 & 2423.3 & 2418.29 & 2410.19 & 8.10668 & 5.00582 \tabularnewline
120 & 2451.6 & 2406.48 & 2404.88 & 1.60001 & 45.1167 \tabularnewline
121 & 2440.8 & 2401.47 & 2402.14 & -0.662907 & 39.3254 \tabularnewline
122 & 2432.9 & 2401.57 & 2400.91 & 0.665009 & 31.3267 \tabularnewline
123 & 2413.6 & 2399.22 & 2399.54 & -0.322907 & 14.3812 \tabularnewline
124 & 2391.6 & 2405.94 & 2400.83 & 5.11043 & -14.3396 \tabularnewline
125 & 2358.1 & 2403.13 & 2402.3 & 0.837093 & -45.0329 \tabularnewline
126 & 2345.4 & 2395.08 & 2403.89 & -8.80874 & -49.6788 \tabularnewline
127 & 2384.4 & 2402.33 & 2407.8 & -5.46188 & -17.9339 \tabularnewline
128 & 2384.4 & 2413.59 & 2412.47 & 1.11804 & -29.1889 \tabularnewline
129 & 2384.4 & NA & NA & -1.51166 & NA \tabularnewline
130 & 2418.7 & NA & NA & -0.669157 & NA \tabularnewline
131 & 2420 & NA & NA & 8.10668 & NA \tabularnewline
132 & 2493.1 & NA & NA & 1.60001 & NA \tabularnewline
133 & 2493.1 & NA & NA & -0.662907 & NA \tabularnewline
134 & 2492.8 & NA & NA & 0.665009 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211188&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]2443.6[/C][C]NA[/C][C]NA[/C][C]-0.662907[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]2460.2[/C][C]NA[/C][C]NA[/C][C]0.665009[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]2448.2[/C][C]NA[/C][C]NA[/C][C]-0.322907[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]2470.4[/C][C]NA[/C][C]NA[/C][C]5.11043[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]2484.7[/C][C]NA[/C][C]NA[/C][C]0.837093[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]2466.8[/C][C]NA[/C][C]NA[/C][C]-8.80874[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]2487.9[/C][C]2488.38[/C][C]2493.84[/C][C]-5.46188[/C][C]-0.479782[/C][/ROW]
[ROW][C]8[/C][C]2508.4[/C][C]2503.48[/C][C]2502.36[/C][C]1.11804[/C][C]4.91946[/C][/ROW]
[ROW][C]9[/C][C]2510.5[/C][C]2508.37[/C][C]2509.88[/C][C]-1.51166[/C][C]2.13249[/C][/ROW]
[ROW][C]10[/C][C]2497.4[/C][C]2516.77[/C][C]2517.44[/C][C]-0.669157[/C][C]-19.3683[/C][/ROW]
[ROW][C]11[/C][C]2532.5[/C][C]2533.52[/C][C]2525.41[/C][C]8.10668[/C][C]-1.01501[/C][/ROW]
[ROW][C]12[/C][C]2556.8[/C][C]2536.05[/C][C]2534.45[/C][C]1.60001[/C][C]20.7542[/C][/ROW]
[ROW][C]13[/C][C]2561[/C][C]2542.34[/C][C]2543[/C][C]-0.662907[/C][C]18.6587[/C][/ROW]
[ROW][C]14[/C][C]2547.3[/C][C]2550.86[/C][C]2550.2[/C][C]0.665009[/C][C]-3.56084[/C][/ROW]
[ROW][C]15[/C][C]2541.5[/C][C]2556.76[/C][C]2557.09[/C][C]-0.322907[/C][C]-15.2646[/C][/ROW]
[ROW][C]16[/C][C]2558.5[/C][C]2569.81[/C][C]2564.7[/C][C]5.11043[/C][C]-11.3104[/C][/ROW]
[ROW][C]17[/C][C]2587.9[/C][C]2571.97[/C][C]2571.14[/C][C]0.837093[/C][C]15.9254[/C][/ROW]
[ROW][C]18[/C][C]2580.5[/C][C]2566.13[/C][C]2574.94[/C][C]-8.80874[/C][C]14.3712[/C][/ROW]
[ROW][C]19[/C][C]2579.6[/C][C]2572.63[/C][C]2578.09[/C][C]-5.46188[/C][C]6.97438[/C][/ROW]
[ROW][C]20[/C][C]2589.3[/C][C]2582.49[/C][C]2581.37[/C][C]1.11804[/C][C]6.81113[/C][/ROW]
[ROW][C]21[/C][C]2595[/C][C]2582.77[/C][C]2584.28[/C][C]-1.51166[/C][C]12.2283[/C][/ROW]
[ROW][C]22[/C][C]2595.6[/C][C]2586.56[/C][C]2587.23[/C][C]-0.669157[/C][C]9.03999[/C][/ROW]
[ROW][C]23[/C][C]2588.8[/C][C]2597.49[/C][C]2589.38[/C][C]8.10668[/C][C]-8.68584[/C][/ROW]
[ROW][C]24[/C][C]2591.7[/C][C]2591.1[/C][C]2589.5[/C][C]1.60001[/C][C]0.604157[/C][/ROW]
[ROW][C]25[/C][C]2601.7[/C][C]2588[/C][C]2588.66[/C][C]-0.662907[/C][C]13.7046[/C][/ROW]
[ROW][C]26[/C][C]2585.4[/C][C]2588.72[/C][C]2588.05[/C][C]0.665009[/C][C]-3.31501[/C][/ROW]
[ROW][C]27[/C][C]2573.3[/C][C]2588.12[/C][C]2588.44[/C][C]-0.322907[/C][C]-14.8188[/C][/ROW]
[ROW][C]28[/C][C]2597.4[/C][C]2595.03[/C][C]2589.92[/C][C]5.11043[/C][C]2.37291[/C][/ROW]
[ROW][C]29[/C][C]2600.6[/C][C]2593[/C][C]2592.16[/C][C]0.837093[/C][C]7.60457[/C][/ROW]
[ROW][C]30[/C][C]2570.6[/C][C]2582.56[/C][C]2591.37[/C][C]-8.80874[/C][C]-11.9579[/C][/ROW]
[ROW][C]31[/C][C]2569.4[/C][C]2581.8[/C][C]2587.27[/C][C]-5.46188[/C][C]-12.4048[/C][/ROW]
[ROW][C]32[/C][C]2584.9[/C][C]2587.11[/C][C]2585.99[/C][C]1.11804[/C][C]-2.20554[/C][/ROW]
[ROW][C]33[/C][C]2608.8[/C][C]2587.23[/C][C]2588.75[/C][C]-1.51166[/C][C]21.5658[/C][/ROW]
[ROW][C]34[/C][C]2617.2[/C][C]2591.95[/C][C]2592.62[/C][C]-0.669157[/C][C]25.2483[/C][/ROW]
[ROW][C]35[/C][C]2621[/C][C]2604.2[/C][C]2596.1[/C][C]8.10668[/C][C]16.7975[/C][/ROW]
[ROW][C]36[/C][C]2540.5[/C][C]2601.42[/C][C]2599.82[/C][C]1.60001[/C][C]-60.9167[/C][/ROW]
[ROW][C]37[/C][C]2554.5[/C][C]2603.49[/C][C]2604.15[/C][C]-0.662907[/C][C]-48.9871[/C][/ROW]
[ROW][C]38[/C][C]2601.9[/C][C]2609.32[/C][C]2608.65[/C][C]0.665009[/C][C]-7.41918[/C][/ROW]
[ROW][C]39[/C][C]2623[/C][C]2612.09[/C][C]2612.41[/C][C]-0.322907[/C][C]10.9104[/C][/ROW]
[ROW][C]40[/C][C]2640.7[/C][C]2621.66[/C][C]2616.55[/C][C]5.11043[/C][C]19.0396[/C][/ROW]
[ROW][C]41[/C][C]2640.7[/C][C]2621.99[/C][C]2621.15[/C][C]0.837093[/C][C]18.7129[/C][/ROW]
[ROW][C]42[/C][C]2619.8[/C][C]2619.51[/C][C]2628.32[/C][C]-8.80874[/C][C]0.287907[/C][/ROW]
[ROW][C]43[/C][C]2624.2[/C][C]2632.56[/C][C]2638.02[/C][C]-5.46188[/C][C]-8.36312[/C][/ROW]
[ROW][C]44[/C][C]2638.2[/C][C]2646.41[/C][C]2645.29[/C][C]1.11804[/C][C]-8.20554[/C][/ROW]
[ROW][C]45[/C][C]2645.7[/C][C]2647.76[/C][C]2649.27[/C][C]-1.51166[/C][C]-2.06334[/C][/ROW]
[ROW][C]46[/C][C]2679.6[/C][C]2649.45[/C][C]2650.12[/C][C]-0.669157[/C][C]30.1483[/C][/ROW]
[ROW][C]47[/C][C]2669[/C][C]2657.23[/C][C]2649.12[/C][C]8.10668[/C][C]11.7725[/C][/ROW]
[ROW][C]48[/C][C]2664.6[/C][C]2651.05[/C][C]2649.45[/C][C]1.60001[/C][C]13.5458[/C][/ROW]
[ROW][C]49[/C][C]2663.3[/C][C]2649.78[/C][C]2650.44[/C][C]-0.662907[/C][C]13.5212[/C][/ROW]
[ROW][C]50[/C][C]2667.4[/C][C]2649.83[/C][C]2649.17[/C][C]0.665009[/C][C]17.5683[/C][/ROW]
[ROW][C]51[/C][C]2653.2[/C][C]2645.36[/C][C]2645.69[/C][C]-0.322907[/C][C]7.83541[/C][/ROW]
[ROW][C]52[/C][C]2630.8[/C][C]2644.66[/C][C]2639.55[/C][C]5.11043[/C][C]-13.8604[/C][/ROW]
[ROW][C]53[/C][C]2626.6[/C][C]2633.04[/C][C]2632.2[/C][C]0.837093[/C][C]-6.44126[/C][/ROW]
[ROW][C]54[/C][C]2641.9[/C][C]2617.37[/C][C]2626.18[/C][C]-8.80874[/C][C]24.5296[/C][/ROW]
[ROW][C]55[/C][C]2625.8[/C][C]2614.55[/C][C]2620.01[/C][C]-5.46188[/C][C]11.2536[/C][/ROW]
[ROW][C]56[/C][C]2606[/C][C]2613.85[/C][C]2612.73[/C][C]1.11804[/C][C]-7.85137[/C][/ROW]
[ROW][C]57[/C][C]2594.4[/C][C]2605.13[/C][C]2606.64[/C][C]-1.51166[/C][C]-10.73[/C][/ROW]
[ROW][C]58[/C][C]2583.6[/C][C]2602.2[/C][C]2602.87[/C][C]-0.669157[/C][C]-18.5975[/C][/ROW]
[ROW][C]59[/C][C]2588.7[/C][C]2608.36[/C][C]2600.25[/C][C]8.10668[/C][C]-19.6567[/C][/ROW]
[ROW][C]60[/C][C]2600.3[/C][C]2599.86[/C][C]2598.26[/C][C]1.60001[/C][C]0.441657[/C][/ROW]
[ROW][C]61[/C][C]2579.5[/C][C]2597.58[/C][C]2598.24[/C][C]-0.662907[/C][C]-18.0788[/C][/ROW]
[ROW][C]62[/C][C]2576.6[/C][C]2601.32[/C][C]2600.66[/C][C]0.665009[/C][C]-24.7233[/C][/ROW]
[ROW][C]63[/C][C]2597.8[/C][C]2603.23[/C][C]2603.55[/C][C]-0.322907[/C][C]-5.42709[/C][/ROW]
[ROW][C]64[/C][C]2595.6[/C][C]2611.67[/C][C]2606.56[/C][C]5.11043[/C][C]-16.0688[/C][/ROW]
[ROW][C]65[/C][C]2599[/C][C]2609.42[/C][C]2608.58[/C][C]0.837093[/C][C]-10.4163[/C][/ROW]
[ROW][C]66[/C][C]2621.7[/C][C]2600.05[/C][C]2608.86[/C][C]-8.80874[/C][C]21.6504[/C][/ROW]
[ROW][C]67[/C][C]2645.6[/C][C]2603.55[/C][C]2609.02[/C][C]-5.46188[/C][C]42.0452[/C][/ROW]
[ROW][C]68[/C][C]2644.2[/C][C]2610.08[/C][C]2608.97[/C][C]1.11804[/C][C]34.1153[/C][/ROW]
[ROW][C]69[/C][C]2625.6[/C][C]2605.43[/C][C]2606.94[/C][C]-1.51166[/C][C]20.17[/C][/ROW]
[ROW][C]70[/C][C]2624.6[/C][C]2603.61[/C][C]2604.28[/C][C]-0.669157[/C][C]20.99[/C][/ROW]
[ROW][C]71[/C][C]2596.2[/C][C]2610.58[/C][C]2602.47[/C][C]8.10668[/C][C]-14.3775[/C][/ROW]
[ROW][C]72[/C][C]2599.5[/C][C]2601.36[/C][C]2599.76[/C][C]1.60001[/C][C]-1.86251[/C][/ROW]
[ROW][C]73[/C][C]2584.1[/C][C]2594.95[/C][C]2595.61[/C][C]-0.662907[/C][C]-10.8496[/C][/ROW]
[ROW][C]74[/C][C]2570.8[/C][C]2592.11[/C][C]2591.45[/C][C]0.665009[/C][C]-21.3108[/C][/ROW]
[ROW][C]75[/C][C]2555[/C][C]2587.25[/C][C]2587.57[/C][C]-0.322907[/C][C]-32.2479[/C][/ROW]
[ROW][C]76[/C][C]2574.5[/C][C]2587.89[/C][C]2582.78[/C][C]5.11043[/C][C]-13.3896[/C][/ROW]
[ROW][C]77[/C][C]2576.7[/C][C]2579.44[/C][C]2578.6[/C][C]0.837093[/C][C]-2.74126[/C][/ROW]
[ROW][C]78[/C][C]2579[/C][C]2565.37[/C][C]2574.18[/C][C]-8.80874[/C][C]13.6337[/C][/ROW]
[ROW][C]79[/C][C]2588.7[/C][C]2562.85[/C][C]2568.32[/C][C]-5.46188[/C][C]25.8452[/C][/ROW]
[ROW][C]80[/C][C]2601.1[/C][C]2566.03[/C][C]2564.91[/C][C]1.11804[/C][C]35.0695[/C][/ROW]
[ROW][C]81[/C][C]2575.7[/C][C]2562.82[/C][C]2564.33[/C][C]-1.51166[/C][C]12.8825[/C][/ROW]
[ROW][C]82[/C][C]2559.5[/C][C]2563.7[/C][C]2564.37[/C][C]-0.669157[/C][C]-4.19751[/C][/ROW]
[ROW][C]83[/C][C]2561.1[/C][C]2572.14[/C][C]2564.03[/C][C]8.10668[/C][C]-11.0358[/C][/ROW]
[ROW][C]84[/C][C]2528.3[/C][C]2563.95[/C][C]2562.35[/C][C]1.60001[/C][C]-35.6542[/C][/ROW]
[ROW][C]85[/C][C]2514.7[/C][C]2557.92[/C][C]2558.59[/C][C]-0.662907[/C][C]-43.2246[/C][/ROW]
[ROW][C]86[/C][C]2558.5[/C][C]2554.21[/C][C]2553.54[/C][C]0.665009[/C][C]4.29332[/C][/ROW]
[ROW][C]87[/C][C]2553.3[/C][C]2548.98[/C][C]2549.3[/C][C]-0.322907[/C][C]4.31874[/C][/ROW]
[ROW][C]88[/C][C]2577.1[/C][C]2551.79[/C][C]2546.68[/C][C]5.11043[/C][C]25.3104[/C][/ROW]
[ROW][C]89[/C][C]2566[/C][C]2546.53[/C][C]2545.7[/C][C]0.837093[/C][C]19.4671[/C][/ROW]
[ROW][C]90[/C][C]2549.5[/C][C]2537.91[/C][C]2546.72[/C][C]-8.80874[/C][C]11.5921[/C][/ROW]
[ROW][C]91[/C][C]2527.8[/C][C]2544.9[/C][C]2550.36[/C][C]-5.46188[/C][C]-17.0964[/C][/ROW]
[ROW][C]92[/C][C]2540.9[/C][C]2553.51[/C][C]2552.39[/C][C]1.11804[/C][C]-12.6097[/C][/ROW]
[ROW][C]93[/C][C]2534.2[/C][C]2550.73[/C][C]2552.24[/C][C]-1.51166[/C][C]-16.5258[/C][/ROW]
[ROW][C]94[/C][C]2538[/C][C]2550.64[/C][C]2551.31[/C][C]-0.669157[/C][C]-12.6433[/C][/ROW]
[ROW][C]95[/C][C]2559[/C][C]2555.52[/C][C]2547.41[/C][C]8.10668[/C][C]3.48082[/C][/ROW]
[ROW][C]96[/C][C]2554.9[/C][C]2542.78[/C][C]2541.18[/C][C]1.60001[/C][C]12.1167[/C][/ROW]
[ROW][C]97[/C][C]2575.5[/C][C]2534.62[/C][C]2535.28[/C][C]-0.662907[/C][C]40.8796[/C][/ROW]
[ROW][C]98[/C][C]2546.5[/C][C]2530.42[/C][C]2529.76[/C][C]0.665009[/C][C]16.0767[/C][/ROW]
[ROW][C]99[/C][C]2561.6[/C][C]2522.55[/C][C]2522.87[/C][C]-0.322907[/C][C]39.0521[/C][/ROW]
[ROW][C]100[/C][C]2546.6[/C][C]2520.91[/C][C]2515.8[/C][C]5.11043[/C][C]25.6896[/C][/ROW]
[ROW][C]101[/C][C]2502.9[/C][C]2509.58[/C][C]2508.75[/C][C]0.837093[/C][C]-6.68293[/C][/ROW]
[ROW][C]102[/C][C]2463.1[/C][C]2491.82[/C][C]2500.62[/C][C]-8.80874[/C][C]-28.7163[/C][/ROW]
[ROW][C]103[/C][C]2472.6[/C][C]2484.57[/C][C]2490.03[/C][C]-5.46188[/C][C]-11.9673[/C][/ROW]
[ROW][C]104[/C][C]2463.5[/C][C]2479.76[/C][C]2478.65[/C][C]1.11804[/C][C]-16.2639[/C][/ROW]
[ROW][C]105[/C][C]2446.3[/C][C]2465.76[/C][C]2467.27[/C][C]-1.51166[/C][C]-19.4592[/C][/ROW]
[ROW][C]106[/C][C]2456.2[/C][C]2455.22[/C][C]2455.89[/C][C]-0.669157[/C][C]0.977491[/C][/ROW]
[ROW][C]107[/C][C]2471.5[/C][C]2455.44[/C][C]2447.33[/C][C]8.10668[/C][C]16.0642[/C][/ROW]
[ROW][C]108[/C][C]2447.5[/C][C]2443.3[/C][C]2441.7[/C][C]1.60001[/C][C]4.20416[/C][/ROW]
[ROW][C]109[/C][C]2428.6[/C][C]2435.2[/C][C]2435.86[/C][C]-0.662907[/C][C]-6.59959[/C][/ROW]
[ROW][C]110[/C][C]2420.2[/C][C]2430.79[/C][C]2430.12[/C][C]0.665009[/C][C]-10.5858[/C][/ROW]
[ROW][C]111[/C][C]2414.9[/C][C]2425.29[/C][C]2425.61[/C][C]-0.322907[/C][C]-10.3896[/C][/ROW]
[ROW][C]112[/C][C]2420.2[/C][C]2425.29[/C][C]2420.18[/C][C]5.11043[/C][C]-5.09376[/C][/ROW]
[ROW][C]113[/C][C]2423.8[/C][C]2415.85[/C][C]2415.01[/C][C]0.837093[/C][C]7.95457[/C][/ROW]
[ROW][C]114[/C][C]2407[/C][C]2404.36[/C][C]2413.17[/C][C]-8.80874[/C][C]2.63791[/C][/ROW]
[ROW][C]115[/C][C]2388.7[/C][C]2408.39[/C][C]2413.85[/C][C]-5.46188[/C][C]-19.6881[/C][/ROW]
[ROW][C]116[/C][C]2409.6[/C][C]2416.01[/C][C]2414.89[/C][C]1.11804[/C][C]-6.40554[/C][/ROW]
[ROW][C]117[/C][C]2392[/C][C]2413.85[/C][C]2415.36[/C][C]-1.51166[/C][C]-21.8508[/C][/ROW]
[ROW][C]118[/C][C]2380.2[/C][C]2413.45[/C][C]2414.12[/C][C]-0.669157[/C][C]-33.2475[/C][/ROW]
[ROW][C]119[/C][C]2423.3[/C][C]2418.29[/C][C]2410.19[/C][C]8.10668[/C][C]5.00582[/C][/ROW]
[ROW][C]120[/C][C]2451.6[/C][C]2406.48[/C][C]2404.88[/C][C]1.60001[/C][C]45.1167[/C][/ROW]
[ROW][C]121[/C][C]2440.8[/C][C]2401.47[/C][C]2402.14[/C][C]-0.662907[/C][C]39.3254[/C][/ROW]
[ROW][C]122[/C][C]2432.9[/C][C]2401.57[/C][C]2400.91[/C][C]0.665009[/C][C]31.3267[/C][/ROW]
[ROW][C]123[/C][C]2413.6[/C][C]2399.22[/C][C]2399.54[/C][C]-0.322907[/C][C]14.3812[/C][/ROW]
[ROW][C]124[/C][C]2391.6[/C][C]2405.94[/C][C]2400.83[/C][C]5.11043[/C][C]-14.3396[/C][/ROW]
[ROW][C]125[/C][C]2358.1[/C][C]2403.13[/C][C]2402.3[/C][C]0.837093[/C][C]-45.0329[/C][/ROW]
[ROW][C]126[/C][C]2345.4[/C][C]2395.08[/C][C]2403.89[/C][C]-8.80874[/C][C]-49.6788[/C][/ROW]
[ROW][C]127[/C][C]2384.4[/C][C]2402.33[/C][C]2407.8[/C][C]-5.46188[/C][C]-17.9339[/C][/ROW]
[ROW][C]128[/C][C]2384.4[/C][C]2413.59[/C][C]2412.47[/C][C]1.11804[/C][C]-29.1889[/C][/ROW]
[ROW][C]129[/C][C]2384.4[/C][C]NA[/C][C]NA[/C][C]-1.51166[/C][C]NA[/C][/ROW]
[ROW][C]130[/C][C]2418.7[/C][C]NA[/C][C]NA[/C][C]-0.669157[/C][C]NA[/C][/ROW]
[ROW][C]131[/C][C]2420[/C][C]NA[/C][C]NA[/C][C]8.10668[/C][C]NA[/C][/ROW]
[ROW][C]132[/C][C]2493.1[/C][C]NA[/C][C]NA[/C][C]1.60001[/C][C]NA[/C][/ROW]
[ROW][C]133[/C][C]2493.1[/C][C]NA[/C][C]NA[/C][C]-0.662907[/C][C]NA[/C][/ROW]
[ROW][C]134[/C][C]2492.8[/C][C]NA[/C][C]NA[/C][C]0.665009[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211188&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211188&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	2443.6	NA	NA	-0.662907	NA
2	2460.2	NA	NA	0.665009	NA
3	2448.2	NA	NA	-0.322907	NA
4	2470.4	NA	NA	5.11043	NA
5	2484.7	NA	NA	0.837093	NA
6	2466.8	NA	NA	-8.80874	NA
7	2487.9	2488.38	2493.84	-5.46188	-0.479782
8	2508.4	2503.48	2502.36	1.11804	4.91946
9	2510.5	2508.37	2509.88	-1.51166	2.13249
10	2497.4	2516.77	2517.44	-0.669157	-19.3683
11	2532.5	2533.52	2525.41	8.10668	-1.01501
12	2556.8	2536.05	2534.45	1.60001	20.7542
13	2561	2542.34	2543	-0.662907	18.6587
14	2547.3	2550.86	2550.2	0.665009	-3.56084
15	2541.5	2556.76	2557.09	-0.322907	-15.2646
16	2558.5	2569.81	2564.7	5.11043	-11.3104
17	2587.9	2571.97	2571.14	0.837093	15.9254
18	2580.5	2566.13	2574.94	-8.80874	14.3712
19	2579.6	2572.63	2578.09	-5.46188	6.97438
20	2589.3	2582.49	2581.37	1.11804	6.81113
21	2595	2582.77	2584.28	-1.51166	12.2283
22	2595.6	2586.56	2587.23	-0.669157	9.03999
23	2588.8	2597.49	2589.38	8.10668	-8.68584
24	2591.7	2591.1	2589.5	1.60001	0.604157
25	2601.7	2588	2588.66	-0.662907	13.7046
26	2585.4	2588.72	2588.05	0.665009	-3.31501
27	2573.3	2588.12	2588.44	-0.322907	-14.8188
28	2597.4	2595.03	2589.92	5.11043	2.37291
29	2600.6	2593	2592.16	0.837093	7.60457
30	2570.6	2582.56	2591.37	-8.80874	-11.9579
31	2569.4	2581.8	2587.27	-5.46188	-12.4048
32	2584.9	2587.11	2585.99	1.11804	-2.20554
33	2608.8	2587.23	2588.75	-1.51166	21.5658
34	2617.2	2591.95	2592.62	-0.669157	25.2483
35	2621	2604.2	2596.1	8.10668	16.7975
36	2540.5	2601.42	2599.82	1.60001	-60.9167
37	2554.5	2603.49	2604.15	-0.662907	-48.9871
38	2601.9	2609.32	2608.65	0.665009	-7.41918
39	2623	2612.09	2612.41	-0.322907	10.9104
40	2640.7	2621.66	2616.55	5.11043	19.0396
41	2640.7	2621.99	2621.15	0.837093	18.7129
42	2619.8	2619.51	2628.32	-8.80874	0.287907
43	2624.2	2632.56	2638.02	-5.46188	-8.36312
44	2638.2	2646.41	2645.29	1.11804	-8.20554
45	2645.7	2647.76	2649.27	-1.51166	-2.06334
46	2679.6	2649.45	2650.12	-0.669157	30.1483
47	2669	2657.23	2649.12	8.10668	11.7725
48	2664.6	2651.05	2649.45	1.60001	13.5458
49	2663.3	2649.78	2650.44	-0.662907	13.5212
50	2667.4	2649.83	2649.17	0.665009	17.5683
51	2653.2	2645.36	2645.69	-0.322907	7.83541
52	2630.8	2644.66	2639.55	5.11043	-13.8604
53	2626.6	2633.04	2632.2	0.837093	-6.44126
54	2641.9	2617.37	2626.18	-8.80874	24.5296
55	2625.8	2614.55	2620.01	-5.46188	11.2536
56	2606	2613.85	2612.73	1.11804	-7.85137
57	2594.4	2605.13	2606.64	-1.51166	-10.73
58	2583.6	2602.2	2602.87	-0.669157	-18.5975
59	2588.7	2608.36	2600.25	8.10668	-19.6567
60	2600.3	2599.86	2598.26	1.60001	0.441657
61	2579.5	2597.58	2598.24	-0.662907	-18.0788
62	2576.6	2601.32	2600.66	0.665009	-24.7233
63	2597.8	2603.23	2603.55	-0.322907	-5.42709
64	2595.6	2611.67	2606.56	5.11043	-16.0688
65	2599	2609.42	2608.58	0.837093	-10.4163
66	2621.7	2600.05	2608.86	-8.80874	21.6504
67	2645.6	2603.55	2609.02	-5.46188	42.0452
68	2644.2	2610.08	2608.97	1.11804	34.1153
69	2625.6	2605.43	2606.94	-1.51166	20.17
70	2624.6	2603.61	2604.28	-0.669157	20.99
71	2596.2	2610.58	2602.47	8.10668	-14.3775
72	2599.5	2601.36	2599.76	1.60001	-1.86251
73	2584.1	2594.95	2595.61	-0.662907	-10.8496
74	2570.8	2592.11	2591.45	0.665009	-21.3108
75	2555	2587.25	2587.57	-0.322907	-32.2479
76	2574.5	2587.89	2582.78	5.11043	-13.3896
77	2576.7	2579.44	2578.6	0.837093	-2.74126
78	2579	2565.37	2574.18	-8.80874	13.6337
79	2588.7	2562.85	2568.32	-5.46188	25.8452
80	2601.1	2566.03	2564.91	1.11804	35.0695
81	2575.7	2562.82	2564.33	-1.51166	12.8825
82	2559.5	2563.7	2564.37	-0.669157	-4.19751
83	2561.1	2572.14	2564.03	8.10668	-11.0358
84	2528.3	2563.95	2562.35	1.60001	-35.6542
85	2514.7	2557.92	2558.59	-0.662907	-43.2246
86	2558.5	2554.21	2553.54	0.665009	4.29332
87	2553.3	2548.98	2549.3	-0.322907	4.31874
88	2577.1	2551.79	2546.68	5.11043	25.3104
89	2566	2546.53	2545.7	0.837093	19.4671
90	2549.5	2537.91	2546.72	-8.80874	11.5921
91	2527.8	2544.9	2550.36	-5.46188	-17.0964
92	2540.9	2553.51	2552.39	1.11804	-12.6097
93	2534.2	2550.73	2552.24	-1.51166	-16.5258
94	2538	2550.64	2551.31	-0.669157	-12.6433
95	2559	2555.52	2547.41	8.10668	3.48082
96	2554.9	2542.78	2541.18	1.60001	12.1167
97	2575.5	2534.62	2535.28	-0.662907	40.8796
98	2546.5	2530.42	2529.76	0.665009	16.0767
99	2561.6	2522.55	2522.87	-0.322907	39.0521
100	2546.6	2520.91	2515.8	5.11043	25.6896
101	2502.9	2509.58	2508.75	0.837093	-6.68293
102	2463.1	2491.82	2500.62	-8.80874	-28.7163
103	2472.6	2484.57	2490.03	-5.46188	-11.9673
104	2463.5	2479.76	2478.65	1.11804	-16.2639
105	2446.3	2465.76	2467.27	-1.51166	-19.4592
106	2456.2	2455.22	2455.89	-0.669157	0.977491
107	2471.5	2455.44	2447.33	8.10668	16.0642
108	2447.5	2443.3	2441.7	1.60001	4.20416
109	2428.6	2435.2	2435.86	-0.662907	-6.59959
110	2420.2	2430.79	2430.12	0.665009	-10.5858
111	2414.9	2425.29	2425.61	-0.322907	-10.3896
112	2420.2	2425.29	2420.18	5.11043	-5.09376
113	2423.8	2415.85	2415.01	0.837093	7.95457
114	2407	2404.36	2413.17	-8.80874	2.63791
115	2388.7	2408.39	2413.85	-5.46188	-19.6881
116	2409.6	2416.01	2414.89	1.11804	-6.40554
117	2392	2413.85	2415.36	-1.51166	-21.8508
118	2380.2	2413.45	2414.12	-0.669157	-33.2475
119	2423.3	2418.29	2410.19	8.10668	5.00582
120	2451.6	2406.48	2404.88	1.60001	45.1167
121	2440.8	2401.47	2402.14	-0.662907	39.3254
122	2432.9	2401.57	2400.91	0.665009	31.3267
123	2413.6	2399.22	2399.54	-0.322907	14.3812
124	2391.6	2405.94	2400.83	5.11043	-14.3396
125	2358.1	2403.13	2402.3	0.837093	-45.0329
126	2345.4	2395.08	2403.89	-8.80874	-49.6788
127	2384.4	2402.33	2407.8	-5.46188	-17.9339
128	2384.4	2413.59	2412.47	1.11804	-29.1889
129	2384.4	NA	NA	-1.51166	NA
130	2418.7	NA	NA	-0.669157	NA
131	2420	NA	NA	8.10668	NA
132	2493.1	NA	NA	1.60001	NA
133	2493.1	NA	NA	-0.662907	NA
134	2492.8	NA	NA	0.665009	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