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rwasp_decompose.wasp

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Classical Decomposition

Date of computation

Mon, 19 Dec 2016 14:55:34 +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/2016/Dec/19/t1482155749w4w112n5odo102k.htm/, Retrieved Wed, 09 Apr 2025 06:53:32 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 09 Apr 2025 06:53:32 +0200

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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	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

2 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

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

As an alternative you can also use a QR Code:

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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	Big Analytics Cloud Computing Center

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	2312	NA	NA	1.01146	NA
2	1089	NA	NA	0.843244	NA
3	2742	NA	NA	0.890736	NA
4	3145	NA	NA	1.15172	NA
5	2966	NA	NA	1.05472	NA
6	2055	NA	NA	0.977427	NA
7	2450	2470.02	2375.08	1.03997	0.991896
8	2742	2626.98	2454.25	1.07038	1.04378
9	1697	2244.51	2470.96	0.908357	0.756066
10	2409	2761.26	2473.29	1.11643	0.872427
11	2233	2581.59	2486.29	1.03833	0.864972
12	2100	2253.27	2511.37	0.897224	0.93198
13	3434	2554.02	2525.08	1.01146	1.34455
14	1867	2115.95	2509.29	0.843244	0.882348
15	2365	2296.09	2577.75	0.890736	1.03001
16	3578	3107.53	2698.17	1.15172	1.1514
17	2845	2897.5	2747.17	1.05472	0.981882
18	2778	2727.47	2790.46	0.977427	1.01853
19	2056	2956.03	2842.42	1.03997	0.695527
20	2757	3172.51	2963.92	1.07038	0.869027
21	3325	2835.1	3121.12	0.908357	1.1728
22	3671	3613.66	3236.79	1.11643	1.01587
23	2147	3484.54	3355.92	1.03833	0.61615
24	3225	3072.32	3424.25	0.897224	1.0497
25	3556	3493.24	3453.67	1.01146	1.01797
26	4661	2943.24	3490.37	0.843244	1.58363
27	3344	3118.72	3501.29	0.890736	1.07223
28	5375	3989.75	3464.17	1.15172	1.3472
29	3907	3666.34	3476.12	1.05472	1.06564
30	3356	3392.36	3470.71	0.977427	0.989281
31	2184	3561.25	3424.37	1.03997	0.613268
32	3510	3512.4	3281.46	1.07038	0.999315
33	2834	2846.72	3133.92	0.908357	0.995533
34	3271	3339.3	2991.04	1.11643	0.979548
35	2834	2975.24	2865.42	1.03833	0.952527
36	2408	2563.33	2856.96	0.897224	0.939402
37	3261	2854.76	2822.42	1.01146	1.1423
38	1526	2331.43	2764.83	0.843244	0.654534
39	2938	2461.77	2763.75	0.890736	1.19345
40	2352	3188.73	2768.67	1.15172	0.737598
41	3915	2891.65	2741.62	1.05472	1.3539
42	3145	2717.08	2779.83	0.977427	1.15749
43	1566	2899.96	2788.5	1.03997	0.540008
44	2746	2949.79	2755.83	1.07038	0.930915
45	3572	2514.41	2768.08	0.908357	1.42061
46	2651	3233.14	2895.96	1.11643	0.819946
47	2805	3099.8	2985.38	1.03833	0.904898
48	3354	2643.45	2946.25	0.897224	1.2688
49	2523	3072.26	3037.46	1.01146	0.821218
50	1480	2642.38	3133.58	0.843244	0.560102
51	3278	2717.82	3051.21	0.890736	1.20611
52	5081	3417.25	2967.08	1.15172	1.48687
53	3332	3181.44	3016.38	1.05472	1.04733
54	2789	2960.63	3029	0.977427	0.942031
55	4111	3117.66	2997.83	1.03997	1.31862
56	2508	3310.46	3092.79	1.07038	0.757599
57	1833	2870.79	3160.42	0.908357	0.638501
58	2371	3534.11	3165.54	1.11643	0.67089
59	4268	3306.86	3184.79	1.03833	1.29065
60	2194	2870.26	3199.04	0.897224	0.764391
61	2935	3249.69	3212.87	1.01146	0.903163
62	3347	2729.83	3237.29	0.843244	1.22608
63	3034	2959.17	3322.17	0.890736	1.02529
64	5448	3986.15	3461.04	1.15172	1.36673
65	3427	3691.39	3499.88	1.05472	0.928375
66	3036	3368.74	3446.54	0.977427	0.901227
67	4196	3558.78	3422	1.03997	1.17906
68	3009	3620.96	3382.88	1.07038	0.830995
69	3369	3048.41	3355.96	0.908357	1.10517
70	4168	3638.87	3259.38	1.11643	1.14541
71	3403	3278.52	3157.5	1.03833	1.03797
72	1779	2870.3	3199.08	0.897224	0.619797
73	2761	3285.85	3248.63	1.01146	0.840269
74	2582	2801.78	3322.63	0.843244	0.921555
75	3153	3014.25	3384	0.890736	1.04603
76	3011	3901.45	3387.5	1.15172	0.771764
77	3419	3622.49	3434.54	1.05472	0.943827
78	4042	3472.72	3552.92	0.977427	1.16393
79	4379	3814.92	3668.29	1.03997	1.14786
80	4602	3943.63	3684.33	1.07038	1.16694
81	3249	3317.09	3651.75	0.908357	0.979472
82	4372	4038.09	3616.96	1.11643	1.08269
83	4328	3698.05	3561.54	1.03833	1.17035
84	3695	3102.83	3458.25	0.897224	1.19085
85	3614	3362.34	3324.25	1.01146	1.07485
86	2114	2728.32	3235.5	0.843244	0.774837
87	2839	2841.19	3189.71	0.890736	0.99923
88	2490	3584.39	3112.21	1.15172	0.694678
89	2610	3202.93	3036.75	1.05472	0.81488
90	2372	2932.36	3000.08	0.977427	0.808904
91	2833	3064.45	2946.67	1.03997	0.924473
92	4018	3134.25	2928.17	1.07038	1.28197
93	2734	2636.73	2902.75	0.908357	1.03689
94	3027	3193.09	2860.08	1.11643	0.947985
95	3862	2969.75	2860.12	1.03833	1.30045
96	3281	2595.97	2893.33	0.897224	1.26388
97	2746	3017.77	2983.58	1.01146	0.909943
98	2538	2514.06	2981.42	0.843244	1.00952
99	1805	2594.23	2912.46	0.890736	0.695775
100	2500	3393.69	2946.62	1.15172	0.736662
101	2601	3107.3	2946.08	1.05472	0.837062
102	3178	2794.99	2859.54	0.977427	1.13703
103	4193	2915.6	2803.54	1.03997	1.43812
104	2606	3003.22	2805.75	1.07038	0.867736
105	2491	2555.89	2813.75	0.908357	0.974612
106	4090	3106.1	2782.17	1.11643	1.31676
107	2786	2862.8	2757.12	1.03833	0.973173
108	2280	2428.19	2706.33	0.897224	0.938972
109	2403	2630.51	2600.71	1.01146	0.913511
110	2934	2165.07	2567.54	0.843244	1.35516
111	1601	2288.34	2569.04	0.890736	0.699635
112	1946	2883.52	2503.67	1.15172	0.674869
113	2554	2567.15	2433.96	1.05472	0.994878
114	2006	2361.83	2416.38	0.977427	0.849342
115	2830	2537.31	2439.79	1.03997	1.11535
116	3173	2609.58	2438	1.07038	1.2159
117	1960	2215.86	2439.42	0.908357	0.884532
118	3052	2742.98	2456.92	1.11643	1.11266
119	2151	2521.54	2428.46	1.03833	0.853051
120	2493	NA	NA	0.897224	NA
121	2752	NA	NA	1.01146	NA
122	2542	NA	NA	0.843244	NA
123	2027	NA	NA	0.890736	NA
124	1940	NA	NA	1.15172	NA
125	1877	NA	NA	1.05472	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 2312 & NA & NA & 1.01146 & NA \tabularnewline
2 & 1089 & NA & NA & 0.843244 & NA \tabularnewline
3 & 2742 & NA & NA & 0.890736 & NA \tabularnewline
4 & 3145 & NA & NA & 1.15172 & NA \tabularnewline
5 & 2966 & NA & NA & 1.05472 & NA \tabularnewline
6 & 2055 & NA & NA & 0.977427 & NA \tabularnewline
7 & 2450 & 2470.02 & 2375.08 & 1.03997 & 0.991896 \tabularnewline
8 & 2742 & 2626.98 & 2454.25 & 1.07038 & 1.04378 \tabularnewline
9 & 1697 & 2244.51 & 2470.96 & 0.908357 & 0.756066 \tabularnewline
10 & 2409 & 2761.26 & 2473.29 & 1.11643 & 0.872427 \tabularnewline
11 & 2233 & 2581.59 & 2486.29 & 1.03833 & 0.864972 \tabularnewline
12 & 2100 & 2253.27 & 2511.37 & 0.897224 & 0.93198 \tabularnewline
13 & 3434 & 2554.02 & 2525.08 & 1.01146 & 1.34455 \tabularnewline
14 & 1867 & 2115.95 & 2509.29 & 0.843244 & 0.882348 \tabularnewline
15 & 2365 & 2296.09 & 2577.75 & 0.890736 & 1.03001 \tabularnewline
16 & 3578 & 3107.53 & 2698.17 & 1.15172 & 1.1514 \tabularnewline
17 & 2845 & 2897.5 & 2747.17 & 1.05472 & 0.981882 \tabularnewline
18 & 2778 & 2727.47 & 2790.46 & 0.977427 & 1.01853 \tabularnewline
19 & 2056 & 2956.03 & 2842.42 & 1.03997 & 0.695527 \tabularnewline
20 & 2757 & 3172.51 & 2963.92 & 1.07038 & 0.869027 \tabularnewline
21 & 3325 & 2835.1 & 3121.12 & 0.908357 & 1.1728 \tabularnewline
22 & 3671 & 3613.66 & 3236.79 & 1.11643 & 1.01587 \tabularnewline
23 & 2147 & 3484.54 & 3355.92 & 1.03833 & 0.61615 \tabularnewline
24 & 3225 & 3072.32 & 3424.25 & 0.897224 & 1.0497 \tabularnewline
25 & 3556 & 3493.24 & 3453.67 & 1.01146 & 1.01797 \tabularnewline
26 & 4661 & 2943.24 & 3490.37 & 0.843244 & 1.58363 \tabularnewline
27 & 3344 & 3118.72 & 3501.29 & 0.890736 & 1.07223 \tabularnewline
28 & 5375 & 3989.75 & 3464.17 & 1.15172 & 1.3472 \tabularnewline
29 & 3907 & 3666.34 & 3476.12 & 1.05472 & 1.06564 \tabularnewline
30 & 3356 & 3392.36 & 3470.71 & 0.977427 & 0.989281 \tabularnewline
31 & 2184 & 3561.25 & 3424.37 & 1.03997 & 0.613268 \tabularnewline
32 & 3510 & 3512.4 & 3281.46 & 1.07038 & 0.999315 \tabularnewline
33 & 2834 & 2846.72 & 3133.92 & 0.908357 & 0.995533 \tabularnewline
34 & 3271 & 3339.3 & 2991.04 & 1.11643 & 0.979548 \tabularnewline
35 & 2834 & 2975.24 & 2865.42 & 1.03833 & 0.952527 \tabularnewline
36 & 2408 & 2563.33 & 2856.96 & 0.897224 & 0.939402 \tabularnewline
37 & 3261 & 2854.76 & 2822.42 & 1.01146 & 1.1423 \tabularnewline
38 & 1526 & 2331.43 & 2764.83 & 0.843244 & 0.654534 \tabularnewline
39 & 2938 & 2461.77 & 2763.75 & 0.890736 & 1.19345 \tabularnewline
40 & 2352 & 3188.73 & 2768.67 & 1.15172 & 0.737598 \tabularnewline
41 & 3915 & 2891.65 & 2741.62 & 1.05472 & 1.3539 \tabularnewline
42 & 3145 & 2717.08 & 2779.83 & 0.977427 & 1.15749 \tabularnewline
43 & 1566 & 2899.96 & 2788.5 & 1.03997 & 0.540008 \tabularnewline
44 & 2746 & 2949.79 & 2755.83 & 1.07038 & 0.930915 \tabularnewline
45 & 3572 & 2514.41 & 2768.08 & 0.908357 & 1.42061 \tabularnewline
46 & 2651 & 3233.14 & 2895.96 & 1.11643 & 0.819946 \tabularnewline
47 & 2805 & 3099.8 & 2985.38 & 1.03833 & 0.904898 \tabularnewline
48 & 3354 & 2643.45 & 2946.25 & 0.897224 & 1.2688 \tabularnewline
49 & 2523 & 3072.26 & 3037.46 & 1.01146 & 0.821218 \tabularnewline
50 & 1480 & 2642.38 & 3133.58 & 0.843244 & 0.560102 \tabularnewline
51 & 3278 & 2717.82 & 3051.21 & 0.890736 & 1.20611 \tabularnewline
52 & 5081 & 3417.25 & 2967.08 & 1.15172 & 1.48687 \tabularnewline
53 & 3332 & 3181.44 & 3016.38 & 1.05472 & 1.04733 \tabularnewline
54 & 2789 & 2960.63 & 3029 & 0.977427 & 0.942031 \tabularnewline
55 & 4111 & 3117.66 & 2997.83 & 1.03997 & 1.31862 \tabularnewline
56 & 2508 & 3310.46 & 3092.79 & 1.07038 & 0.757599 \tabularnewline
57 & 1833 & 2870.79 & 3160.42 & 0.908357 & 0.638501 \tabularnewline
58 & 2371 & 3534.11 & 3165.54 & 1.11643 & 0.67089 \tabularnewline
59 & 4268 & 3306.86 & 3184.79 & 1.03833 & 1.29065 \tabularnewline
60 & 2194 & 2870.26 & 3199.04 & 0.897224 & 0.764391 \tabularnewline
61 & 2935 & 3249.69 & 3212.87 & 1.01146 & 0.903163 \tabularnewline
62 & 3347 & 2729.83 & 3237.29 & 0.843244 & 1.22608 \tabularnewline
63 & 3034 & 2959.17 & 3322.17 & 0.890736 & 1.02529 \tabularnewline
64 & 5448 & 3986.15 & 3461.04 & 1.15172 & 1.36673 \tabularnewline
65 & 3427 & 3691.39 & 3499.88 & 1.05472 & 0.928375 \tabularnewline
66 & 3036 & 3368.74 & 3446.54 & 0.977427 & 0.901227 \tabularnewline
67 & 4196 & 3558.78 & 3422 & 1.03997 & 1.17906 \tabularnewline
68 & 3009 & 3620.96 & 3382.88 & 1.07038 & 0.830995 \tabularnewline
69 & 3369 & 3048.41 & 3355.96 & 0.908357 & 1.10517 \tabularnewline
70 & 4168 & 3638.87 & 3259.38 & 1.11643 & 1.14541 \tabularnewline
71 & 3403 & 3278.52 & 3157.5 & 1.03833 & 1.03797 \tabularnewline
72 & 1779 & 2870.3 & 3199.08 & 0.897224 & 0.619797 \tabularnewline
73 & 2761 & 3285.85 & 3248.63 & 1.01146 & 0.840269 \tabularnewline
74 & 2582 & 2801.78 & 3322.63 & 0.843244 & 0.921555 \tabularnewline
75 & 3153 & 3014.25 & 3384 & 0.890736 & 1.04603 \tabularnewline
76 & 3011 & 3901.45 & 3387.5 & 1.15172 & 0.771764 \tabularnewline
77 & 3419 & 3622.49 & 3434.54 & 1.05472 & 0.943827 \tabularnewline
78 & 4042 & 3472.72 & 3552.92 & 0.977427 & 1.16393 \tabularnewline
79 & 4379 & 3814.92 & 3668.29 & 1.03997 & 1.14786 \tabularnewline
80 & 4602 & 3943.63 & 3684.33 & 1.07038 & 1.16694 \tabularnewline
81 & 3249 & 3317.09 & 3651.75 & 0.908357 & 0.979472 \tabularnewline
82 & 4372 & 4038.09 & 3616.96 & 1.11643 & 1.08269 \tabularnewline
83 & 4328 & 3698.05 & 3561.54 & 1.03833 & 1.17035 \tabularnewline
84 & 3695 & 3102.83 & 3458.25 & 0.897224 & 1.19085 \tabularnewline
85 & 3614 & 3362.34 & 3324.25 & 1.01146 & 1.07485 \tabularnewline
86 & 2114 & 2728.32 & 3235.5 & 0.843244 & 0.774837 \tabularnewline
87 & 2839 & 2841.19 & 3189.71 & 0.890736 & 0.99923 \tabularnewline
88 & 2490 & 3584.39 & 3112.21 & 1.15172 & 0.694678 \tabularnewline
89 & 2610 & 3202.93 & 3036.75 & 1.05472 & 0.81488 \tabularnewline
90 & 2372 & 2932.36 & 3000.08 & 0.977427 & 0.808904 \tabularnewline
91 & 2833 & 3064.45 & 2946.67 & 1.03997 & 0.924473 \tabularnewline
92 & 4018 & 3134.25 & 2928.17 & 1.07038 & 1.28197 \tabularnewline
93 & 2734 & 2636.73 & 2902.75 & 0.908357 & 1.03689 \tabularnewline
94 & 3027 & 3193.09 & 2860.08 & 1.11643 & 0.947985 \tabularnewline
95 & 3862 & 2969.75 & 2860.12 & 1.03833 & 1.30045 \tabularnewline
96 & 3281 & 2595.97 & 2893.33 & 0.897224 & 1.26388 \tabularnewline
97 & 2746 & 3017.77 & 2983.58 & 1.01146 & 0.909943 \tabularnewline
98 & 2538 & 2514.06 & 2981.42 & 0.843244 & 1.00952 \tabularnewline
99 & 1805 & 2594.23 & 2912.46 & 0.890736 & 0.695775 \tabularnewline
100 & 2500 & 3393.69 & 2946.62 & 1.15172 & 0.736662 \tabularnewline
101 & 2601 & 3107.3 & 2946.08 & 1.05472 & 0.837062 \tabularnewline
102 & 3178 & 2794.99 & 2859.54 & 0.977427 & 1.13703 \tabularnewline
103 & 4193 & 2915.6 & 2803.54 & 1.03997 & 1.43812 \tabularnewline
104 & 2606 & 3003.22 & 2805.75 & 1.07038 & 0.867736 \tabularnewline
105 & 2491 & 2555.89 & 2813.75 & 0.908357 & 0.974612 \tabularnewline
106 & 4090 & 3106.1 & 2782.17 & 1.11643 & 1.31676 \tabularnewline
107 & 2786 & 2862.8 & 2757.12 & 1.03833 & 0.973173 \tabularnewline
108 & 2280 & 2428.19 & 2706.33 & 0.897224 & 0.938972 \tabularnewline
109 & 2403 & 2630.51 & 2600.71 & 1.01146 & 0.913511 \tabularnewline
110 & 2934 & 2165.07 & 2567.54 & 0.843244 & 1.35516 \tabularnewline
111 & 1601 & 2288.34 & 2569.04 & 0.890736 & 0.699635 \tabularnewline
112 & 1946 & 2883.52 & 2503.67 & 1.15172 & 0.674869 \tabularnewline
113 & 2554 & 2567.15 & 2433.96 & 1.05472 & 0.994878 \tabularnewline
114 & 2006 & 2361.83 & 2416.38 & 0.977427 & 0.849342 \tabularnewline
115 & 2830 & 2537.31 & 2439.79 & 1.03997 & 1.11535 \tabularnewline
116 & 3173 & 2609.58 & 2438 & 1.07038 & 1.2159 \tabularnewline
117 & 1960 & 2215.86 & 2439.42 & 0.908357 & 0.884532 \tabularnewline
118 & 3052 & 2742.98 & 2456.92 & 1.11643 & 1.11266 \tabularnewline
119 & 2151 & 2521.54 & 2428.46 & 1.03833 & 0.853051 \tabularnewline
120 & 2493 & NA & NA & 0.897224 & NA \tabularnewline
121 & 2752 & NA & NA & 1.01146 & NA \tabularnewline
122 & 2542 & NA & NA & 0.843244 & NA \tabularnewline
123 & 2027 & NA & NA & 0.890736 & NA \tabularnewline
124 & 1940 & NA & NA & 1.15172 & NA \tabularnewline
125 & 1877 & NA & NA & 1.05472 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]2312[/C][C]NA[/C][C]NA[/C][C]1.01146[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1089[/C][C]NA[/C][C]NA[/C][C]0.843244[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]2742[/C][C]NA[/C][C]NA[/C][C]0.890736[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]3145[/C][C]NA[/C][C]NA[/C][C]1.15172[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]2966[/C][C]NA[/C][C]NA[/C][C]1.05472[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]2055[/C][C]NA[/C][C]NA[/C][C]0.977427[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]2450[/C][C]2470.02[/C][C]2375.08[/C][C]1.03997[/C][C]0.991896[/C][/ROW]
[ROW][C]8[/C][C]2742[/C][C]2626.98[/C][C]2454.25[/C][C]1.07038[/C][C]1.04378[/C][/ROW]
[ROW][C]9[/C][C]1697[/C][C]2244.51[/C][C]2470.96[/C][C]0.908357[/C][C]0.756066[/C][/ROW]
[ROW][C]10[/C][C]2409[/C][C]2761.26[/C][C]2473.29[/C][C]1.11643[/C][C]0.872427[/C][/ROW]
[ROW][C]11[/C][C]2233[/C][C]2581.59[/C][C]2486.29[/C][C]1.03833[/C][C]0.864972[/C][/ROW]
[ROW][C]12[/C][C]2100[/C][C]2253.27[/C][C]2511.37[/C][C]0.897224[/C][C]0.93198[/C][/ROW]
[ROW][C]13[/C][C]3434[/C][C]2554.02[/C][C]2525.08[/C][C]1.01146[/C][C]1.34455[/C][/ROW]
[ROW][C]14[/C][C]1867[/C][C]2115.95[/C][C]2509.29[/C][C]0.843244[/C][C]0.882348[/C][/ROW]
[ROW][C]15[/C][C]2365[/C][C]2296.09[/C][C]2577.75[/C][C]0.890736[/C][C]1.03001[/C][/ROW]
[ROW][C]16[/C][C]3578[/C][C]3107.53[/C][C]2698.17[/C][C]1.15172[/C][C]1.1514[/C][/ROW]
[ROW][C]17[/C][C]2845[/C][C]2897.5[/C][C]2747.17[/C][C]1.05472[/C][C]0.981882[/C][/ROW]
[ROW][C]18[/C][C]2778[/C][C]2727.47[/C][C]2790.46[/C][C]0.977427[/C][C]1.01853[/C][/ROW]
[ROW][C]19[/C][C]2056[/C][C]2956.03[/C][C]2842.42[/C][C]1.03997[/C][C]0.695527[/C][/ROW]
[ROW][C]20[/C][C]2757[/C][C]3172.51[/C][C]2963.92[/C][C]1.07038[/C][C]0.869027[/C][/ROW]
[ROW][C]21[/C][C]3325[/C][C]2835.1[/C][C]3121.12[/C][C]0.908357[/C][C]1.1728[/C][/ROW]
[ROW][C]22[/C][C]3671[/C][C]3613.66[/C][C]3236.79[/C][C]1.11643[/C][C]1.01587[/C][/ROW]
[ROW][C]23[/C][C]2147[/C][C]3484.54[/C][C]3355.92[/C][C]1.03833[/C][C]0.61615[/C][/ROW]
[ROW][C]24[/C][C]3225[/C][C]3072.32[/C][C]3424.25[/C][C]0.897224[/C][C]1.0497[/C][/ROW]
[ROW][C]25[/C][C]3556[/C][C]3493.24[/C][C]3453.67[/C][C]1.01146[/C][C]1.01797[/C][/ROW]
[ROW][C]26[/C][C]4661[/C][C]2943.24[/C][C]3490.37[/C][C]0.843244[/C][C]1.58363[/C][/ROW]
[ROW][C]27[/C][C]3344[/C][C]3118.72[/C][C]3501.29[/C][C]0.890736[/C][C]1.07223[/C][/ROW]
[ROW][C]28[/C][C]5375[/C][C]3989.75[/C][C]3464.17[/C][C]1.15172[/C][C]1.3472[/C][/ROW]
[ROW][C]29[/C][C]3907[/C][C]3666.34[/C][C]3476.12[/C][C]1.05472[/C][C]1.06564[/C][/ROW]
[ROW][C]30[/C][C]3356[/C][C]3392.36[/C][C]3470.71[/C][C]0.977427[/C][C]0.989281[/C][/ROW]
[ROW][C]31[/C][C]2184[/C][C]3561.25[/C][C]3424.37[/C][C]1.03997[/C][C]0.613268[/C][/ROW]
[ROW][C]32[/C][C]3510[/C][C]3512.4[/C][C]3281.46[/C][C]1.07038[/C][C]0.999315[/C][/ROW]
[ROW][C]33[/C][C]2834[/C][C]2846.72[/C][C]3133.92[/C][C]0.908357[/C][C]0.995533[/C][/ROW]
[ROW][C]34[/C][C]3271[/C][C]3339.3[/C][C]2991.04[/C][C]1.11643[/C][C]0.979548[/C][/ROW]
[ROW][C]35[/C][C]2834[/C][C]2975.24[/C][C]2865.42[/C][C]1.03833[/C][C]0.952527[/C][/ROW]
[ROW][C]36[/C][C]2408[/C][C]2563.33[/C][C]2856.96[/C][C]0.897224[/C][C]0.939402[/C][/ROW]
[ROW][C]37[/C][C]3261[/C][C]2854.76[/C][C]2822.42[/C][C]1.01146[/C][C]1.1423[/C][/ROW]
[ROW][C]38[/C][C]1526[/C][C]2331.43[/C][C]2764.83[/C][C]0.843244[/C][C]0.654534[/C][/ROW]
[ROW][C]39[/C][C]2938[/C][C]2461.77[/C][C]2763.75[/C][C]0.890736[/C][C]1.19345[/C][/ROW]
[ROW][C]40[/C][C]2352[/C][C]3188.73[/C][C]2768.67[/C][C]1.15172[/C][C]0.737598[/C][/ROW]
[ROW][C]41[/C][C]3915[/C][C]2891.65[/C][C]2741.62[/C][C]1.05472[/C][C]1.3539[/C][/ROW]
[ROW][C]42[/C][C]3145[/C][C]2717.08[/C][C]2779.83[/C][C]0.977427[/C][C]1.15749[/C][/ROW]
[ROW][C]43[/C][C]1566[/C][C]2899.96[/C][C]2788.5[/C][C]1.03997[/C][C]0.540008[/C][/ROW]
[ROW][C]44[/C][C]2746[/C][C]2949.79[/C][C]2755.83[/C][C]1.07038[/C][C]0.930915[/C][/ROW]
[ROW][C]45[/C][C]3572[/C][C]2514.41[/C][C]2768.08[/C][C]0.908357[/C][C]1.42061[/C][/ROW]
[ROW][C]46[/C][C]2651[/C][C]3233.14[/C][C]2895.96[/C][C]1.11643[/C][C]0.819946[/C][/ROW]
[ROW][C]47[/C][C]2805[/C][C]3099.8[/C][C]2985.38[/C][C]1.03833[/C][C]0.904898[/C][/ROW]
[ROW][C]48[/C][C]3354[/C][C]2643.45[/C][C]2946.25[/C][C]0.897224[/C][C]1.2688[/C][/ROW]
[ROW][C]49[/C][C]2523[/C][C]3072.26[/C][C]3037.46[/C][C]1.01146[/C][C]0.821218[/C][/ROW]
[ROW][C]50[/C][C]1480[/C][C]2642.38[/C][C]3133.58[/C][C]0.843244[/C][C]0.560102[/C][/ROW]
[ROW][C]51[/C][C]3278[/C][C]2717.82[/C][C]3051.21[/C][C]0.890736[/C][C]1.20611[/C][/ROW]
[ROW][C]52[/C][C]5081[/C][C]3417.25[/C][C]2967.08[/C][C]1.15172[/C][C]1.48687[/C][/ROW]
[ROW][C]53[/C][C]3332[/C][C]3181.44[/C][C]3016.38[/C][C]1.05472[/C][C]1.04733[/C][/ROW]
[ROW][C]54[/C][C]2789[/C][C]2960.63[/C][C]3029[/C][C]0.977427[/C][C]0.942031[/C][/ROW]
[ROW][C]55[/C][C]4111[/C][C]3117.66[/C][C]2997.83[/C][C]1.03997[/C][C]1.31862[/C][/ROW]
[ROW][C]56[/C][C]2508[/C][C]3310.46[/C][C]3092.79[/C][C]1.07038[/C][C]0.757599[/C][/ROW]
[ROW][C]57[/C][C]1833[/C][C]2870.79[/C][C]3160.42[/C][C]0.908357[/C][C]0.638501[/C][/ROW]
[ROW][C]58[/C][C]2371[/C][C]3534.11[/C][C]3165.54[/C][C]1.11643[/C][C]0.67089[/C][/ROW]
[ROW][C]59[/C][C]4268[/C][C]3306.86[/C][C]3184.79[/C][C]1.03833[/C][C]1.29065[/C][/ROW]
[ROW][C]60[/C][C]2194[/C][C]2870.26[/C][C]3199.04[/C][C]0.897224[/C][C]0.764391[/C][/ROW]
[ROW][C]61[/C][C]2935[/C][C]3249.69[/C][C]3212.87[/C][C]1.01146[/C][C]0.903163[/C][/ROW]
[ROW][C]62[/C][C]3347[/C][C]2729.83[/C][C]3237.29[/C][C]0.843244[/C][C]1.22608[/C][/ROW]
[ROW][C]63[/C][C]3034[/C][C]2959.17[/C][C]3322.17[/C][C]0.890736[/C][C]1.02529[/C][/ROW]
[ROW][C]64[/C][C]5448[/C][C]3986.15[/C][C]3461.04[/C][C]1.15172[/C][C]1.36673[/C][/ROW]
[ROW][C]65[/C][C]3427[/C][C]3691.39[/C][C]3499.88[/C][C]1.05472[/C][C]0.928375[/C][/ROW]
[ROW][C]66[/C][C]3036[/C][C]3368.74[/C][C]3446.54[/C][C]0.977427[/C][C]0.901227[/C][/ROW]
[ROW][C]67[/C][C]4196[/C][C]3558.78[/C][C]3422[/C][C]1.03997[/C][C]1.17906[/C][/ROW]
[ROW][C]68[/C][C]3009[/C][C]3620.96[/C][C]3382.88[/C][C]1.07038[/C][C]0.830995[/C][/ROW]
[ROW][C]69[/C][C]3369[/C][C]3048.41[/C][C]3355.96[/C][C]0.908357[/C][C]1.10517[/C][/ROW]
[ROW][C]70[/C][C]4168[/C][C]3638.87[/C][C]3259.38[/C][C]1.11643[/C][C]1.14541[/C][/ROW]
[ROW][C]71[/C][C]3403[/C][C]3278.52[/C][C]3157.5[/C][C]1.03833[/C][C]1.03797[/C][/ROW]
[ROW][C]72[/C][C]1779[/C][C]2870.3[/C][C]3199.08[/C][C]0.897224[/C][C]0.619797[/C][/ROW]
[ROW][C]73[/C][C]2761[/C][C]3285.85[/C][C]3248.63[/C][C]1.01146[/C][C]0.840269[/C][/ROW]
[ROW][C]74[/C][C]2582[/C][C]2801.78[/C][C]3322.63[/C][C]0.843244[/C][C]0.921555[/C][/ROW]
[ROW][C]75[/C][C]3153[/C][C]3014.25[/C][C]3384[/C][C]0.890736[/C][C]1.04603[/C][/ROW]
[ROW][C]76[/C][C]3011[/C][C]3901.45[/C][C]3387.5[/C][C]1.15172[/C][C]0.771764[/C][/ROW]
[ROW][C]77[/C][C]3419[/C][C]3622.49[/C][C]3434.54[/C][C]1.05472[/C][C]0.943827[/C][/ROW]
[ROW][C]78[/C][C]4042[/C][C]3472.72[/C][C]3552.92[/C][C]0.977427[/C][C]1.16393[/C][/ROW]
[ROW][C]79[/C][C]4379[/C][C]3814.92[/C][C]3668.29[/C][C]1.03997[/C][C]1.14786[/C][/ROW]
[ROW][C]80[/C][C]4602[/C][C]3943.63[/C][C]3684.33[/C][C]1.07038[/C][C]1.16694[/C][/ROW]
[ROW][C]81[/C][C]3249[/C][C]3317.09[/C][C]3651.75[/C][C]0.908357[/C][C]0.979472[/C][/ROW]
[ROW][C]82[/C][C]4372[/C][C]4038.09[/C][C]3616.96[/C][C]1.11643[/C][C]1.08269[/C][/ROW]
[ROW][C]83[/C][C]4328[/C][C]3698.05[/C][C]3561.54[/C][C]1.03833[/C][C]1.17035[/C][/ROW]
[ROW][C]84[/C][C]3695[/C][C]3102.83[/C][C]3458.25[/C][C]0.897224[/C][C]1.19085[/C][/ROW]
[ROW][C]85[/C][C]3614[/C][C]3362.34[/C][C]3324.25[/C][C]1.01146[/C][C]1.07485[/C][/ROW]
[ROW][C]86[/C][C]2114[/C][C]2728.32[/C][C]3235.5[/C][C]0.843244[/C][C]0.774837[/C][/ROW]
[ROW][C]87[/C][C]2839[/C][C]2841.19[/C][C]3189.71[/C][C]0.890736[/C][C]0.99923[/C][/ROW]
[ROW][C]88[/C][C]2490[/C][C]3584.39[/C][C]3112.21[/C][C]1.15172[/C][C]0.694678[/C][/ROW]
[ROW][C]89[/C][C]2610[/C][C]3202.93[/C][C]3036.75[/C][C]1.05472[/C][C]0.81488[/C][/ROW]
[ROW][C]90[/C][C]2372[/C][C]2932.36[/C][C]3000.08[/C][C]0.977427[/C][C]0.808904[/C][/ROW]
[ROW][C]91[/C][C]2833[/C][C]3064.45[/C][C]2946.67[/C][C]1.03997[/C][C]0.924473[/C][/ROW]
[ROW][C]92[/C][C]4018[/C][C]3134.25[/C][C]2928.17[/C][C]1.07038[/C][C]1.28197[/C][/ROW]
[ROW][C]93[/C][C]2734[/C][C]2636.73[/C][C]2902.75[/C][C]0.908357[/C][C]1.03689[/C][/ROW]
[ROW][C]94[/C][C]3027[/C][C]3193.09[/C][C]2860.08[/C][C]1.11643[/C][C]0.947985[/C][/ROW]
[ROW][C]95[/C][C]3862[/C][C]2969.75[/C][C]2860.12[/C][C]1.03833[/C][C]1.30045[/C][/ROW]
[ROW][C]96[/C][C]3281[/C][C]2595.97[/C][C]2893.33[/C][C]0.897224[/C][C]1.26388[/C][/ROW]
[ROW][C]97[/C][C]2746[/C][C]3017.77[/C][C]2983.58[/C][C]1.01146[/C][C]0.909943[/C][/ROW]
[ROW][C]98[/C][C]2538[/C][C]2514.06[/C][C]2981.42[/C][C]0.843244[/C][C]1.00952[/C][/ROW]
[ROW][C]99[/C][C]1805[/C][C]2594.23[/C][C]2912.46[/C][C]0.890736[/C][C]0.695775[/C][/ROW]
[ROW][C]100[/C][C]2500[/C][C]3393.69[/C][C]2946.62[/C][C]1.15172[/C][C]0.736662[/C][/ROW]
[ROW][C]101[/C][C]2601[/C][C]3107.3[/C][C]2946.08[/C][C]1.05472[/C][C]0.837062[/C][/ROW]
[ROW][C]102[/C][C]3178[/C][C]2794.99[/C][C]2859.54[/C][C]0.977427[/C][C]1.13703[/C][/ROW]
[ROW][C]103[/C][C]4193[/C][C]2915.6[/C][C]2803.54[/C][C]1.03997[/C][C]1.43812[/C][/ROW]
[ROW][C]104[/C][C]2606[/C][C]3003.22[/C][C]2805.75[/C][C]1.07038[/C][C]0.867736[/C][/ROW]
[ROW][C]105[/C][C]2491[/C][C]2555.89[/C][C]2813.75[/C][C]0.908357[/C][C]0.974612[/C][/ROW]
[ROW][C]106[/C][C]4090[/C][C]3106.1[/C][C]2782.17[/C][C]1.11643[/C][C]1.31676[/C][/ROW]
[ROW][C]107[/C][C]2786[/C][C]2862.8[/C][C]2757.12[/C][C]1.03833[/C][C]0.973173[/C][/ROW]
[ROW][C]108[/C][C]2280[/C][C]2428.19[/C][C]2706.33[/C][C]0.897224[/C][C]0.938972[/C][/ROW]
[ROW][C]109[/C][C]2403[/C][C]2630.51[/C][C]2600.71[/C][C]1.01146[/C][C]0.913511[/C][/ROW]
[ROW][C]110[/C][C]2934[/C][C]2165.07[/C][C]2567.54[/C][C]0.843244[/C][C]1.35516[/C][/ROW]
[ROW][C]111[/C][C]1601[/C][C]2288.34[/C][C]2569.04[/C][C]0.890736[/C][C]0.699635[/C][/ROW]
[ROW][C]112[/C][C]1946[/C][C]2883.52[/C][C]2503.67[/C][C]1.15172[/C][C]0.674869[/C][/ROW]
[ROW][C]113[/C][C]2554[/C][C]2567.15[/C][C]2433.96[/C][C]1.05472[/C][C]0.994878[/C][/ROW]
[ROW][C]114[/C][C]2006[/C][C]2361.83[/C][C]2416.38[/C][C]0.977427[/C][C]0.849342[/C][/ROW]
[ROW][C]115[/C][C]2830[/C][C]2537.31[/C][C]2439.79[/C][C]1.03997[/C][C]1.11535[/C][/ROW]
[ROW][C]116[/C][C]3173[/C][C]2609.58[/C][C]2438[/C][C]1.07038[/C][C]1.2159[/C][/ROW]
[ROW][C]117[/C][C]1960[/C][C]2215.86[/C][C]2439.42[/C][C]0.908357[/C][C]0.884532[/C][/ROW]
[ROW][C]118[/C][C]3052[/C][C]2742.98[/C][C]2456.92[/C][C]1.11643[/C][C]1.11266[/C][/ROW]
[ROW][C]119[/C][C]2151[/C][C]2521.54[/C][C]2428.46[/C][C]1.03833[/C][C]0.853051[/C][/ROW]
[ROW][C]120[/C][C]2493[/C][C]NA[/C][C]NA[/C][C]0.897224[/C][C]NA[/C][/ROW]
[ROW][C]121[/C][C]2752[/C][C]NA[/C][C]NA[/C][C]1.01146[/C][C]NA[/C][/ROW]
[ROW][C]122[/C][C]2542[/C][C]NA[/C][C]NA[/C][C]0.843244[/C][C]NA[/C][/ROW]
[ROW][C]123[/C][C]2027[/C][C]NA[/C][C]NA[/C][C]0.890736[/C][C]NA[/C][/ROW]
[ROW][C]124[/C][C]1940[/C][C]NA[/C][C]NA[/C][C]1.15172[/C][C]NA[/C][/ROW]
[ROW][C]125[/C][C]1877[/C][C]NA[/C][C]NA[/C][C]1.05472[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	2312	NA	NA	1.01146	NA
2	1089	NA	NA	0.843244	NA
3	2742	NA	NA	0.890736	NA
4	3145	NA	NA	1.15172	NA
5	2966	NA	NA	1.05472	NA
6	2055	NA	NA	0.977427	NA
7	2450	2470.02	2375.08	1.03997	0.991896
8	2742	2626.98	2454.25	1.07038	1.04378
9	1697	2244.51	2470.96	0.908357	0.756066
10	2409	2761.26	2473.29	1.11643	0.872427
11	2233	2581.59	2486.29	1.03833	0.864972
12	2100	2253.27	2511.37	0.897224	0.93198
13	3434	2554.02	2525.08	1.01146	1.34455
14	1867	2115.95	2509.29	0.843244	0.882348
15	2365	2296.09	2577.75	0.890736	1.03001
16	3578	3107.53	2698.17	1.15172	1.1514
17	2845	2897.5	2747.17	1.05472	0.981882
18	2778	2727.47	2790.46	0.977427	1.01853
19	2056	2956.03	2842.42	1.03997	0.695527
20	2757	3172.51	2963.92	1.07038	0.869027
21	3325	2835.1	3121.12	0.908357	1.1728
22	3671	3613.66	3236.79	1.11643	1.01587
23	2147	3484.54	3355.92	1.03833	0.61615
24	3225	3072.32	3424.25	0.897224	1.0497
25	3556	3493.24	3453.67	1.01146	1.01797
26	4661	2943.24	3490.37	0.843244	1.58363
27	3344	3118.72	3501.29	0.890736	1.07223
28	5375	3989.75	3464.17	1.15172	1.3472
29	3907	3666.34	3476.12	1.05472	1.06564
30	3356	3392.36	3470.71	0.977427	0.989281
31	2184	3561.25	3424.37	1.03997	0.613268
32	3510	3512.4	3281.46	1.07038	0.999315
33	2834	2846.72	3133.92	0.908357	0.995533
34	3271	3339.3	2991.04	1.11643	0.979548
35	2834	2975.24	2865.42	1.03833	0.952527
36	2408	2563.33	2856.96	0.897224	0.939402
37	3261	2854.76	2822.42	1.01146	1.1423
38	1526	2331.43	2764.83	0.843244	0.654534
39	2938	2461.77	2763.75	0.890736	1.19345
40	2352	3188.73	2768.67	1.15172	0.737598
41	3915	2891.65	2741.62	1.05472	1.3539
42	3145	2717.08	2779.83	0.977427	1.15749
43	1566	2899.96	2788.5	1.03997	0.540008
44	2746	2949.79	2755.83	1.07038	0.930915
45	3572	2514.41	2768.08	0.908357	1.42061
46	2651	3233.14	2895.96	1.11643	0.819946
47	2805	3099.8	2985.38	1.03833	0.904898
48	3354	2643.45	2946.25	0.897224	1.2688
49	2523	3072.26	3037.46	1.01146	0.821218
50	1480	2642.38	3133.58	0.843244	0.560102
51	3278	2717.82	3051.21	0.890736	1.20611
52	5081	3417.25	2967.08	1.15172	1.48687
53	3332	3181.44	3016.38	1.05472	1.04733
54	2789	2960.63	3029	0.977427	0.942031
55	4111	3117.66	2997.83	1.03997	1.31862
56	2508	3310.46	3092.79	1.07038	0.757599
57	1833	2870.79	3160.42	0.908357	0.638501
58	2371	3534.11	3165.54	1.11643	0.67089
59	4268	3306.86	3184.79	1.03833	1.29065
60	2194	2870.26	3199.04	0.897224	0.764391
61	2935	3249.69	3212.87	1.01146	0.903163
62	3347	2729.83	3237.29	0.843244	1.22608
63	3034	2959.17	3322.17	0.890736	1.02529
64	5448	3986.15	3461.04	1.15172	1.36673
65	3427	3691.39	3499.88	1.05472	0.928375
66	3036	3368.74	3446.54	0.977427	0.901227
67	4196	3558.78	3422	1.03997	1.17906
68	3009	3620.96	3382.88	1.07038	0.830995
69	3369	3048.41	3355.96	0.908357	1.10517
70	4168	3638.87	3259.38	1.11643	1.14541
71	3403	3278.52	3157.5	1.03833	1.03797
72	1779	2870.3	3199.08	0.897224	0.619797
73	2761	3285.85	3248.63	1.01146	0.840269
74	2582	2801.78	3322.63	0.843244	0.921555
75	3153	3014.25	3384	0.890736	1.04603
76	3011	3901.45	3387.5	1.15172	0.771764
77	3419	3622.49	3434.54	1.05472	0.943827
78	4042	3472.72	3552.92	0.977427	1.16393
79	4379	3814.92	3668.29	1.03997	1.14786
80	4602	3943.63	3684.33	1.07038	1.16694
81	3249	3317.09	3651.75	0.908357	0.979472
82	4372	4038.09	3616.96	1.11643	1.08269
83	4328	3698.05	3561.54	1.03833	1.17035
84	3695	3102.83	3458.25	0.897224	1.19085
85	3614	3362.34	3324.25	1.01146	1.07485
86	2114	2728.32	3235.5	0.843244	0.774837
87	2839	2841.19	3189.71	0.890736	0.99923
88	2490	3584.39	3112.21	1.15172	0.694678
89	2610	3202.93	3036.75	1.05472	0.81488
90	2372	2932.36	3000.08	0.977427	0.808904
91	2833	3064.45	2946.67	1.03997	0.924473
92	4018	3134.25	2928.17	1.07038	1.28197
93	2734	2636.73	2902.75	0.908357	1.03689
94	3027	3193.09	2860.08	1.11643	0.947985
95	3862	2969.75	2860.12	1.03833	1.30045
96	3281	2595.97	2893.33	0.897224	1.26388
97	2746	3017.77	2983.58	1.01146	0.909943
98	2538	2514.06	2981.42	0.843244	1.00952
99	1805	2594.23	2912.46	0.890736	0.695775
100	2500	3393.69	2946.62	1.15172	0.736662
101	2601	3107.3	2946.08	1.05472	0.837062
102	3178	2794.99	2859.54	0.977427	1.13703
103	4193	2915.6	2803.54	1.03997	1.43812
104	2606	3003.22	2805.75	1.07038	0.867736
105	2491	2555.89	2813.75	0.908357	0.974612
106	4090	3106.1	2782.17	1.11643	1.31676
107	2786	2862.8	2757.12	1.03833	0.973173
108	2280	2428.19	2706.33	0.897224	0.938972
109	2403	2630.51	2600.71	1.01146	0.913511
110	2934	2165.07	2567.54	0.843244	1.35516
111	1601	2288.34	2569.04	0.890736	0.699635
112	1946	2883.52	2503.67	1.15172	0.674869
113	2554	2567.15	2433.96	1.05472	0.994878
114	2006	2361.83	2416.38	0.977427	0.849342
115	2830	2537.31	2439.79	1.03997	1.11535
116	3173	2609.58	2438	1.07038	1.2159
117	1960	2215.86	2439.42	0.908357	0.884532
118	3052	2742.98	2456.92	1.11643	1.11266
119	2151	2521.54	2428.46	1.03833	0.853051
120	2493	NA	NA	0.897224	NA
121	2752	NA	NA	1.01146	NA
122	2542	NA	NA	0.843244	NA
123	2027	NA	NA	0.890736	NA
124	1940	NA	NA	1.15172	NA
125	1877	NA	NA	1.05472	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 = 200greygreygrey1251240201010101012additiveadditiveadditivemultiplicativemultiplicative200additivemultiplicative ; par2 = 5nonono11111111216121251212 ; par3 = 000000010 ; par4 = P1 P5 Q1 Q3 P95 P990000001P1 P5 Q1 Q3 P95 P99 ; par5 = 11111112 ; par6 = 0000030 ; par7 = 0000001 ; par8 = 0000000 ; par9 = 0000001 ; par10 = FALSEFALSEFALSETRUEFALSEFALSEFALSE ;

Parameters (R input):

par1 = multiplicative ; par2 = 12 ;

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

par2 <- '12'
par1 <- 'additive'
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