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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Tue, 26 Apr 2016 11:47:12 +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/Apr/26/t1461667656xouasilmerwbd0g.htm/, Retrieved Sat, 04 May 2024 05:01:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=294846, Retrieved Sat, 04 May 2024 05:01:25 +0000

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Estimated Impact

100

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-       [Classical Decomposition] [] [2016-04-26 10:47:12] [a8cf284534efea996701e15b66911faf] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294846&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294846&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294846&T=0

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	92.09	NA	NA	-0.226474	NA
2	93.77	NA	NA	0.238804	NA
3	94.44	NA	NA	0.429267	NA
4	94.91	NA	NA	0.380378	NA
5	94.78	NA	NA	0.238202	NA
6	94.51	NA	NA	0.367832	NA
7	94.36	95.7699	95.6312	0.138665	-1.40992
8	96.6	96.1614	96.0912	0.0701929	0.438557
9	96.72	96.3485	96.4467	-0.0981867	0.37152
10	96.71	96.3613	96.8288	-0.467492	0.348742
11	97.44	96.7632	97.2429	-0.479761	0.676844
12	97.83	97.0961	97.6875	-0.591427	0.733927
13	98.92	97.9314	98.1579	-0.226474	0.988557
14	97.98	98.7538	98.515	0.238804	-0.773804
15	98.76	99.2168	98.7875	0.429267	-0.456767
16	99.76	99.5104	99.13	0.380378	0.249622
17	99.87	99.7595	99.5213	0.238202	0.110548
18	100.09	100.269	99.9013	0.367832	-0.179082
19	100.07	100.509	100.37	0.138665	-0.439082
20	99.46	101.189	101.119	0.0701929	-1.72894
21	100.4	101.949	102.047	-0.0981867	-1.5489
22	101.25	102.474	102.942	-0.467492	-1.22417
23	102.29	103.302	103.782	-0.479761	-1.01191
24	102.1	104.042	104.634	-0.591427	-1.94232
25	105.91	105.289	105.516	-0.226474	0.62064
26	108.95	106.654	106.415	0.238804	2.2962
27	110.07	107.728	107.299	0.429267	2.34157
28	109.92	108.486	108.105	0.380378	1.43421
29	109.87	109.051	108.813	0.238202	0.819298
30	110.54	109.847	109.479	0.367832	0.693418
31	110.79	110.138	109.999	0.138665	0.652168
32	110.32	110.344	110.273	0.0701929	-0.0235262
33	110.76	110.295	110.393	-0.0981867	0.464853
34	110.24	109.972	110.439	-0.467492	0.268326
35	110.27	109.924	110.404	-0.479761	0.346011
36	110.11	109.738	110.33	-0.591427	0.371844
37	110.39	110.025	110.252	-0.226474	0.364807
38	111.05	110.418	110.179	0.238804	0.632446
39	110.85	110.467	110.038	0.429267	0.383233
40	110.24	110.062	109.682	0.380378	0.177539
41	108.7	109.408	109.17	0.238202	-0.708202
42	109.93	108.969	108.601	0.367832	0.961335
43	109.53	108.123	107.984	0.138665	1.40717
44	109.83	107.39	107.32	0.0701929	2.43981
45	107.86	106.511	106.61	-0.0981867	1.3486
46	104.61	105.419	105.887	-0.467492	-0.809174
47	103.61	104.786	105.266	-0.479761	-1.17649
48	103.11	104.101	104.692	-0.591427	-0.990656
49	102.59	103.867	104.093	-0.226474	-1.27686
50	102.91	103.718	103.479	0.238804	-0.807971
51	101.94	103.292	102.862	0.429267	-1.35177
52	101.8	102.791	102.41	0.380378	-0.990795
53	102.25	102.389	102.15	0.238202	-0.138619
54	102.6	102.316	101.948	0.367832	0.284252
55	102.49	101.879	101.741	0.138665	0.610502
56	102.13	101.556	101.486	0.0701929	0.573974
57	100.76	101.14	101.238	-0.0981867	-0.380147
58	100.86	100.562	101.03	-0.467492	0.297909
59	101.12	100.322	100.802	-0.479761	0.797677
60	100.74	99.9565	100.548	-0.591427	0.783511
61	99.99	100.057	100.284	-0.226474	-0.0672762
62	99.39	100.273	100.035	0.238804	-0.883387
63	99.52	100.286	99.8567	0.429267	-0.765934
64	99.21	100.11	99.7292	0.380378	-0.899545
65	99.38	99.7903	99.5521	0.238202	-0.410285
66	99.37	99.7249	99.3571	0.367832	-0.354915
67	99.38	99.3737	99.235	0.138665	0.00633488
68	99.26	99.3027	99.2325	0.0701929	-0.0426929
69	99.36	99.186	99.2842	-0.0981867	0.17402
70	99.2	98.8717	99.3392	-0.467492	0.328326
71	98.53	98.9186	99.3983	-0.479761	-0.388573
72	98.65	98.8586	99.45	-0.591427	-0.208573
73	99.15	99.2414	99.4679	-0.226474	-0.0914429
74	100.17	99.6746	99.4358	0.238804	0.495363
75	99.98	99.8134	99.3842	0.429267	0.166566
76	100.07	99.7029	99.3225	0.380378	0.367122
77	99.94	99.5407	99.3025	0.238202	0.399298
78	100.05	99.6916	99.3237	0.367832	0.358418
79	99.13	99.492	99.3533	0.138665	-0.361998
80	98.74	99.4398	99.3696	0.0701929	-0.699776
81	98.64	99.2714	99.3696	-0.0981867	-0.631397
82	98.44	98.9258	99.3933	-0.467492	-0.485841
83	98.81	98.9352	99.415	-0.479761	-0.125239
84	98.88	98.8186	99.41	-0.591427	0.0614275
85	99.63	99.2073	99.4337	-0.226474	0.422724
86	100.08	99.7392	99.5004	0.238804	0.340779
87	100.07	100.028	99.5983	0.429267	0.0423997
88	100.55	100.115	99.735	0.380378	0.434622
89	99.98	100.102	99.8637	0.238202	-0.121952
90	99.89	100.326	99.9583	0.367832	-0.436165
91	99.86	100.069	99.9308	0.138665	-0.209498
92	99.61	99.8281	99.7579	0.0701929	-0.21811
93	100.12	99.4806	99.5788	-0.0981867	0.639437
94	100.24	98.9292	99.3967	-0.467492	1.31083
95	100.1	98.7265	99.2063	-0.479761	1.37351
96	99.86	98.4465	99.0379	-0.591427	1.41351
97	97.99	98.6206	98.8471	-0.226474	-0.63061
98	97.57	98.8592	98.6204	0.238804	-1.28922
99	98.28	98.7897	98.3604	0.429267	-0.509684
100	97.97	98.457	98.0767	0.380378	-0.487045
101	97.99	98.0086	97.7704	0.238202	-0.0186188
102	97.84	97.8282	97.4604	0.367832	0.0117515
103	97.33	97.3866	97.2479	0.138665	-0.0565818
104	96.7	97.2402	97.17	0.0701929	-0.540193
105	96.79	97.0289	97.1271	-0.0981867	-0.238897
106	96.76	96.5958	97.0633	-0.467492	0.164159
107	96.23	96.5227	97.0025	-0.479761	-0.292739
108	96.29	96.3136	96.905	-0.591427	-0.0235725
109	96.46	96.5914	96.8179	-0.226474	-0.131443
110	97.23	97.0413	96.8025	0.238804	0.188696
111	97.59	97.2405	96.8112	0.429267	0.349483
112	97.13	97.2166	96.8362	0.380378	-0.0866281
113	97.37	97.1024	96.8642	0.238202	0.267631
114	96.12	97.2599	96.8921	0.367832	-1.13992
115	96.96	NA	NA	0.138665	NA
116	96.7	NA	NA	0.0701929	NA
117	97	NA	NA	-0.0981867	NA
118	97.15	NA	NA	-0.467492	NA
119	96.51	NA	NA	-0.479761	NA
120	96.68	NA	NA	-0.591427	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 92.09 & NA & NA & -0.226474 & NA \tabularnewline
2 & 93.77 & NA & NA & 0.238804 & NA \tabularnewline
3 & 94.44 & NA & NA & 0.429267 & NA \tabularnewline
4 & 94.91 & NA & NA & 0.380378 & NA \tabularnewline
5 & 94.78 & NA & NA & 0.238202 & NA \tabularnewline
6 & 94.51 & NA & NA & 0.367832 & NA \tabularnewline
7 & 94.36 & 95.7699 & 95.6312 & 0.138665 & -1.40992 \tabularnewline
8 & 96.6 & 96.1614 & 96.0912 & 0.0701929 & 0.438557 \tabularnewline
9 & 96.72 & 96.3485 & 96.4467 & -0.0981867 & 0.37152 \tabularnewline
10 & 96.71 & 96.3613 & 96.8288 & -0.467492 & 0.348742 \tabularnewline
11 & 97.44 & 96.7632 & 97.2429 & -0.479761 & 0.676844 \tabularnewline
12 & 97.83 & 97.0961 & 97.6875 & -0.591427 & 0.733927 \tabularnewline
13 & 98.92 & 97.9314 & 98.1579 & -0.226474 & 0.988557 \tabularnewline
14 & 97.98 & 98.7538 & 98.515 & 0.238804 & -0.773804 \tabularnewline
15 & 98.76 & 99.2168 & 98.7875 & 0.429267 & -0.456767 \tabularnewline
16 & 99.76 & 99.5104 & 99.13 & 0.380378 & 0.249622 \tabularnewline
17 & 99.87 & 99.7595 & 99.5213 & 0.238202 & 0.110548 \tabularnewline
18 & 100.09 & 100.269 & 99.9013 & 0.367832 & -0.179082 \tabularnewline
19 & 100.07 & 100.509 & 100.37 & 0.138665 & -0.439082 \tabularnewline
20 & 99.46 & 101.189 & 101.119 & 0.0701929 & -1.72894 \tabularnewline
21 & 100.4 & 101.949 & 102.047 & -0.0981867 & -1.5489 \tabularnewline
22 & 101.25 & 102.474 & 102.942 & -0.467492 & -1.22417 \tabularnewline
23 & 102.29 & 103.302 & 103.782 & -0.479761 & -1.01191 \tabularnewline
24 & 102.1 & 104.042 & 104.634 & -0.591427 & -1.94232 \tabularnewline
25 & 105.91 & 105.289 & 105.516 & -0.226474 & 0.62064 \tabularnewline
26 & 108.95 & 106.654 & 106.415 & 0.238804 & 2.2962 \tabularnewline
27 & 110.07 & 107.728 & 107.299 & 0.429267 & 2.34157 \tabularnewline
28 & 109.92 & 108.486 & 108.105 & 0.380378 & 1.43421 \tabularnewline
29 & 109.87 & 109.051 & 108.813 & 0.238202 & 0.819298 \tabularnewline
30 & 110.54 & 109.847 & 109.479 & 0.367832 & 0.693418 \tabularnewline
31 & 110.79 & 110.138 & 109.999 & 0.138665 & 0.652168 \tabularnewline
32 & 110.32 & 110.344 & 110.273 & 0.0701929 & -0.0235262 \tabularnewline
33 & 110.76 & 110.295 & 110.393 & -0.0981867 & 0.464853 \tabularnewline
34 & 110.24 & 109.972 & 110.439 & -0.467492 & 0.268326 \tabularnewline
35 & 110.27 & 109.924 & 110.404 & -0.479761 & 0.346011 \tabularnewline
36 & 110.11 & 109.738 & 110.33 & -0.591427 & 0.371844 \tabularnewline
37 & 110.39 & 110.025 & 110.252 & -0.226474 & 0.364807 \tabularnewline
38 & 111.05 & 110.418 & 110.179 & 0.238804 & 0.632446 \tabularnewline
39 & 110.85 & 110.467 & 110.038 & 0.429267 & 0.383233 \tabularnewline
40 & 110.24 & 110.062 & 109.682 & 0.380378 & 0.177539 \tabularnewline
41 & 108.7 & 109.408 & 109.17 & 0.238202 & -0.708202 \tabularnewline
42 & 109.93 & 108.969 & 108.601 & 0.367832 & 0.961335 \tabularnewline
43 & 109.53 & 108.123 & 107.984 & 0.138665 & 1.40717 \tabularnewline
44 & 109.83 & 107.39 & 107.32 & 0.0701929 & 2.43981 \tabularnewline
45 & 107.86 & 106.511 & 106.61 & -0.0981867 & 1.3486 \tabularnewline
46 & 104.61 & 105.419 & 105.887 & -0.467492 & -0.809174 \tabularnewline
47 & 103.61 & 104.786 & 105.266 & -0.479761 & -1.17649 \tabularnewline
48 & 103.11 & 104.101 & 104.692 & -0.591427 & -0.990656 \tabularnewline
49 & 102.59 & 103.867 & 104.093 & -0.226474 & -1.27686 \tabularnewline
50 & 102.91 & 103.718 & 103.479 & 0.238804 & -0.807971 \tabularnewline
51 & 101.94 & 103.292 & 102.862 & 0.429267 & -1.35177 \tabularnewline
52 & 101.8 & 102.791 & 102.41 & 0.380378 & -0.990795 \tabularnewline
53 & 102.25 & 102.389 & 102.15 & 0.238202 & -0.138619 \tabularnewline
54 & 102.6 & 102.316 & 101.948 & 0.367832 & 0.284252 \tabularnewline
55 & 102.49 & 101.879 & 101.741 & 0.138665 & 0.610502 \tabularnewline
56 & 102.13 & 101.556 & 101.486 & 0.0701929 & 0.573974 \tabularnewline
57 & 100.76 & 101.14 & 101.238 & -0.0981867 & -0.380147 \tabularnewline
58 & 100.86 & 100.562 & 101.03 & -0.467492 & 0.297909 \tabularnewline
59 & 101.12 & 100.322 & 100.802 & -0.479761 & 0.797677 \tabularnewline
60 & 100.74 & 99.9565 & 100.548 & -0.591427 & 0.783511 \tabularnewline
61 & 99.99 & 100.057 & 100.284 & -0.226474 & -0.0672762 \tabularnewline
62 & 99.39 & 100.273 & 100.035 & 0.238804 & -0.883387 \tabularnewline
63 & 99.52 & 100.286 & 99.8567 & 0.429267 & -0.765934 \tabularnewline
64 & 99.21 & 100.11 & 99.7292 & 0.380378 & -0.899545 \tabularnewline
65 & 99.38 & 99.7903 & 99.5521 & 0.238202 & -0.410285 \tabularnewline
66 & 99.37 & 99.7249 & 99.3571 & 0.367832 & -0.354915 \tabularnewline
67 & 99.38 & 99.3737 & 99.235 & 0.138665 & 0.00633488 \tabularnewline
68 & 99.26 & 99.3027 & 99.2325 & 0.0701929 & -0.0426929 \tabularnewline
69 & 99.36 & 99.186 & 99.2842 & -0.0981867 & 0.17402 \tabularnewline
70 & 99.2 & 98.8717 & 99.3392 & -0.467492 & 0.328326 \tabularnewline
71 & 98.53 & 98.9186 & 99.3983 & -0.479761 & -0.388573 \tabularnewline
72 & 98.65 & 98.8586 & 99.45 & -0.591427 & -0.208573 \tabularnewline
73 & 99.15 & 99.2414 & 99.4679 & -0.226474 & -0.0914429 \tabularnewline
74 & 100.17 & 99.6746 & 99.4358 & 0.238804 & 0.495363 \tabularnewline
75 & 99.98 & 99.8134 & 99.3842 & 0.429267 & 0.166566 \tabularnewline
76 & 100.07 & 99.7029 & 99.3225 & 0.380378 & 0.367122 \tabularnewline
77 & 99.94 & 99.5407 & 99.3025 & 0.238202 & 0.399298 \tabularnewline
78 & 100.05 & 99.6916 & 99.3237 & 0.367832 & 0.358418 \tabularnewline
79 & 99.13 & 99.492 & 99.3533 & 0.138665 & -0.361998 \tabularnewline
80 & 98.74 & 99.4398 & 99.3696 & 0.0701929 & -0.699776 \tabularnewline
81 & 98.64 & 99.2714 & 99.3696 & -0.0981867 & -0.631397 \tabularnewline
82 & 98.44 & 98.9258 & 99.3933 & -0.467492 & -0.485841 \tabularnewline
83 & 98.81 & 98.9352 & 99.415 & -0.479761 & -0.125239 \tabularnewline
84 & 98.88 & 98.8186 & 99.41 & -0.591427 & 0.0614275 \tabularnewline
85 & 99.63 & 99.2073 & 99.4337 & -0.226474 & 0.422724 \tabularnewline
86 & 100.08 & 99.7392 & 99.5004 & 0.238804 & 0.340779 \tabularnewline
87 & 100.07 & 100.028 & 99.5983 & 0.429267 & 0.0423997 \tabularnewline
88 & 100.55 & 100.115 & 99.735 & 0.380378 & 0.434622 \tabularnewline
89 & 99.98 & 100.102 & 99.8637 & 0.238202 & -0.121952 \tabularnewline
90 & 99.89 & 100.326 & 99.9583 & 0.367832 & -0.436165 \tabularnewline
91 & 99.86 & 100.069 & 99.9308 & 0.138665 & -0.209498 \tabularnewline
92 & 99.61 & 99.8281 & 99.7579 & 0.0701929 & -0.21811 \tabularnewline
93 & 100.12 & 99.4806 & 99.5788 & -0.0981867 & 0.639437 \tabularnewline
94 & 100.24 & 98.9292 & 99.3967 & -0.467492 & 1.31083 \tabularnewline
95 & 100.1 & 98.7265 & 99.2063 & -0.479761 & 1.37351 \tabularnewline
96 & 99.86 & 98.4465 & 99.0379 & -0.591427 & 1.41351 \tabularnewline
97 & 97.99 & 98.6206 & 98.8471 & -0.226474 & -0.63061 \tabularnewline
98 & 97.57 & 98.8592 & 98.6204 & 0.238804 & -1.28922 \tabularnewline
99 & 98.28 & 98.7897 & 98.3604 & 0.429267 & -0.509684 \tabularnewline
100 & 97.97 & 98.457 & 98.0767 & 0.380378 & -0.487045 \tabularnewline
101 & 97.99 & 98.0086 & 97.7704 & 0.238202 & -0.0186188 \tabularnewline
102 & 97.84 & 97.8282 & 97.4604 & 0.367832 & 0.0117515 \tabularnewline
103 & 97.33 & 97.3866 & 97.2479 & 0.138665 & -0.0565818 \tabularnewline
104 & 96.7 & 97.2402 & 97.17 & 0.0701929 & -0.540193 \tabularnewline
105 & 96.79 & 97.0289 & 97.1271 & -0.0981867 & -0.238897 \tabularnewline
106 & 96.76 & 96.5958 & 97.0633 & -0.467492 & 0.164159 \tabularnewline
107 & 96.23 & 96.5227 & 97.0025 & -0.479761 & -0.292739 \tabularnewline
108 & 96.29 & 96.3136 & 96.905 & -0.591427 & -0.0235725 \tabularnewline
109 & 96.46 & 96.5914 & 96.8179 & -0.226474 & -0.131443 \tabularnewline
110 & 97.23 & 97.0413 & 96.8025 & 0.238804 & 0.188696 \tabularnewline
111 & 97.59 & 97.2405 & 96.8112 & 0.429267 & 0.349483 \tabularnewline
112 & 97.13 & 97.2166 & 96.8362 & 0.380378 & -0.0866281 \tabularnewline
113 & 97.37 & 97.1024 & 96.8642 & 0.238202 & 0.267631 \tabularnewline
114 & 96.12 & 97.2599 & 96.8921 & 0.367832 & -1.13992 \tabularnewline
115 & 96.96 & NA & NA & 0.138665 & NA \tabularnewline
116 & 96.7 & NA & NA & 0.0701929 & NA \tabularnewline
117 & 97 & NA & NA & -0.0981867 & NA \tabularnewline
118 & 97.15 & NA & NA & -0.467492 & NA \tabularnewline
119 & 96.51 & NA & NA & -0.479761 & NA \tabularnewline
120 & 96.68 & NA & NA & -0.591427 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294846&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]92.09[/C][C]NA[/C][C]NA[/C][C]-0.226474[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]93.77[/C][C]NA[/C][C]NA[/C][C]0.238804[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]94.44[/C][C]NA[/C][C]NA[/C][C]0.429267[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]94.91[/C][C]NA[/C][C]NA[/C][C]0.380378[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]94.78[/C][C]NA[/C][C]NA[/C][C]0.238202[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]94.51[/C][C]NA[/C][C]NA[/C][C]0.367832[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]94.36[/C][C]95.7699[/C][C]95.6312[/C][C]0.138665[/C][C]-1.40992[/C][/ROW]
[ROW][C]8[/C][C]96.6[/C][C]96.1614[/C][C]96.0912[/C][C]0.0701929[/C][C]0.438557[/C][/ROW]
[ROW][C]9[/C][C]96.72[/C][C]96.3485[/C][C]96.4467[/C][C]-0.0981867[/C][C]0.37152[/C][/ROW]
[ROW][C]10[/C][C]96.71[/C][C]96.3613[/C][C]96.8288[/C][C]-0.467492[/C][C]0.348742[/C][/ROW]
[ROW][C]11[/C][C]97.44[/C][C]96.7632[/C][C]97.2429[/C][C]-0.479761[/C][C]0.676844[/C][/ROW]
[ROW][C]12[/C][C]97.83[/C][C]97.0961[/C][C]97.6875[/C][C]-0.591427[/C][C]0.733927[/C][/ROW]
[ROW][C]13[/C][C]98.92[/C][C]97.9314[/C][C]98.1579[/C][C]-0.226474[/C][C]0.988557[/C][/ROW]
[ROW][C]14[/C][C]97.98[/C][C]98.7538[/C][C]98.515[/C][C]0.238804[/C][C]-0.773804[/C][/ROW]
[ROW][C]15[/C][C]98.76[/C][C]99.2168[/C][C]98.7875[/C][C]0.429267[/C][C]-0.456767[/C][/ROW]
[ROW][C]16[/C][C]99.76[/C][C]99.5104[/C][C]99.13[/C][C]0.380378[/C][C]0.249622[/C][/ROW]
[ROW][C]17[/C][C]99.87[/C][C]99.7595[/C][C]99.5213[/C][C]0.238202[/C][C]0.110548[/C][/ROW]
[ROW][C]18[/C][C]100.09[/C][C]100.269[/C][C]99.9013[/C][C]0.367832[/C][C]-0.179082[/C][/ROW]
[ROW][C]19[/C][C]100.07[/C][C]100.509[/C][C]100.37[/C][C]0.138665[/C][C]-0.439082[/C][/ROW]
[ROW][C]20[/C][C]99.46[/C][C]101.189[/C][C]101.119[/C][C]0.0701929[/C][C]-1.72894[/C][/ROW]
[ROW][C]21[/C][C]100.4[/C][C]101.949[/C][C]102.047[/C][C]-0.0981867[/C][C]-1.5489[/C][/ROW]
[ROW][C]22[/C][C]101.25[/C][C]102.474[/C][C]102.942[/C][C]-0.467492[/C][C]-1.22417[/C][/ROW]
[ROW][C]23[/C][C]102.29[/C][C]103.302[/C][C]103.782[/C][C]-0.479761[/C][C]-1.01191[/C][/ROW]
[ROW][C]24[/C][C]102.1[/C][C]104.042[/C][C]104.634[/C][C]-0.591427[/C][C]-1.94232[/C][/ROW]
[ROW][C]25[/C][C]105.91[/C][C]105.289[/C][C]105.516[/C][C]-0.226474[/C][C]0.62064[/C][/ROW]
[ROW][C]26[/C][C]108.95[/C][C]106.654[/C][C]106.415[/C][C]0.238804[/C][C]2.2962[/C][/ROW]
[ROW][C]27[/C][C]110.07[/C][C]107.728[/C][C]107.299[/C][C]0.429267[/C][C]2.34157[/C][/ROW]
[ROW][C]28[/C][C]109.92[/C][C]108.486[/C][C]108.105[/C][C]0.380378[/C][C]1.43421[/C][/ROW]
[ROW][C]29[/C][C]109.87[/C][C]109.051[/C][C]108.813[/C][C]0.238202[/C][C]0.819298[/C][/ROW]
[ROW][C]30[/C][C]110.54[/C][C]109.847[/C][C]109.479[/C][C]0.367832[/C][C]0.693418[/C][/ROW]
[ROW][C]31[/C][C]110.79[/C][C]110.138[/C][C]109.999[/C][C]0.138665[/C][C]0.652168[/C][/ROW]
[ROW][C]32[/C][C]110.32[/C][C]110.344[/C][C]110.273[/C][C]0.0701929[/C][C]-0.0235262[/C][/ROW]
[ROW][C]33[/C][C]110.76[/C][C]110.295[/C][C]110.393[/C][C]-0.0981867[/C][C]0.464853[/C][/ROW]
[ROW][C]34[/C][C]110.24[/C][C]109.972[/C][C]110.439[/C][C]-0.467492[/C][C]0.268326[/C][/ROW]
[ROW][C]35[/C][C]110.27[/C][C]109.924[/C][C]110.404[/C][C]-0.479761[/C][C]0.346011[/C][/ROW]
[ROW][C]36[/C][C]110.11[/C][C]109.738[/C][C]110.33[/C][C]-0.591427[/C][C]0.371844[/C][/ROW]
[ROW][C]37[/C][C]110.39[/C][C]110.025[/C][C]110.252[/C][C]-0.226474[/C][C]0.364807[/C][/ROW]
[ROW][C]38[/C][C]111.05[/C][C]110.418[/C][C]110.179[/C][C]0.238804[/C][C]0.632446[/C][/ROW]
[ROW][C]39[/C][C]110.85[/C][C]110.467[/C][C]110.038[/C][C]0.429267[/C][C]0.383233[/C][/ROW]
[ROW][C]40[/C][C]110.24[/C][C]110.062[/C][C]109.682[/C][C]0.380378[/C][C]0.177539[/C][/ROW]
[ROW][C]41[/C][C]108.7[/C][C]109.408[/C][C]109.17[/C][C]0.238202[/C][C]-0.708202[/C][/ROW]
[ROW][C]42[/C][C]109.93[/C][C]108.969[/C][C]108.601[/C][C]0.367832[/C][C]0.961335[/C][/ROW]
[ROW][C]43[/C][C]109.53[/C][C]108.123[/C][C]107.984[/C][C]0.138665[/C][C]1.40717[/C][/ROW]
[ROW][C]44[/C][C]109.83[/C][C]107.39[/C][C]107.32[/C][C]0.0701929[/C][C]2.43981[/C][/ROW]
[ROW][C]45[/C][C]107.86[/C][C]106.511[/C][C]106.61[/C][C]-0.0981867[/C][C]1.3486[/C][/ROW]
[ROW][C]46[/C][C]104.61[/C][C]105.419[/C][C]105.887[/C][C]-0.467492[/C][C]-0.809174[/C][/ROW]
[ROW][C]47[/C][C]103.61[/C][C]104.786[/C][C]105.266[/C][C]-0.479761[/C][C]-1.17649[/C][/ROW]
[ROW][C]48[/C][C]103.11[/C][C]104.101[/C][C]104.692[/C][C]-0.591427[/C][C]-0.990656[/C][/ROW]
[ROW][C]49[/C][C]102.59[/C][C]103.867[/C][C]104.093[/C][C]-0.226474[/C][C]-1.27686[/C][/ROW]
[ROW][C]50[/C][C]102.91[/C][C]103.718[/C][C]103.479[/C][C]0.238804[/C][C]-0.807971[/C][/ROW]
[ROW][C]51[/C][C]101.94[/C][C]103.292[/C][C]102.862[/C][C]0.429267[/C][C]-1.35177[/C][/ROW]
[ROW][C]52[/C][C]101.8[/C][C]102.791[/C][C]102.41[/C][C]0.380378[/C][C]-0.990795[/C][/ROW]
[ROW][C]53[/C][C]102.25[/C][C]102.389[/C][C]102.15[/C][C]0.238202[/C][C]-0.138619[/C][/ROW]
[ROW][C]54[/C][C]102.6[/C][C]102.316[/C][C]101.948[/C][C]0.367832[/C][C]0.284252[/C][/ROW]
[ROW][C]55[/C][C]102.49[/C][C]101.879[/C][C]101.741[/C][C]0.138665[/C][C]0.610502[/C][/ROW]
[ROW][C]56[/C][C]102.13[/C][C]101.556[/C][C]101.486[/C][C]0.0701929[/C][C]0.573974[/C][/ROW]
[ROW][C]57[/C][C]100.76[/C][C]101.14[/C][C]101.238[/C][C]-0.0981867[/C][C]-0.380147[/C][/ROW]
[ROW][C]58[/C][C]100.86[/C][C]100.562[/C][C]101.03[/C][C]-0.467492[/C][C]0.297909[/C][/ROW]
[ROW][C]59[/C][C]101.12[/C][C]100.322[/C][C]100.802[/C][C]-0.479761[/C][C]0.797677[/C][/ROW]
[ROW][C]60[/C][C]100.74[/C][C]99.9565[/C][C]100.548[/C][C]-0.591427[/C][C]0.783511[/C][/ROW]
[ROW][C]61[/C][C]99.99[/C][C]100.057[/C][C]100.284[/C][C]-0.226474[/C][C]-0.0672762[/C][/ROW]
[ROW][C]62[/C][C]99.39[/C][C]100.273[/C][C]100.035[/C][C]0.238804[/C][C]-0.883387[/C][/ROW]
[ROW][C]63[/C][C]99.52[/C][C]100.286[/C][C]99.8567[/C][C]0.429267[/C][C]-0.765934[/C][/ROW]
[ROW][C]64[/C][C]99.21[/C][C]100.11[/C][C]99.7292[/C][C]0.380378[/C][C]-0.899545[/C][/ROW]
[ROW][C]65[/C][C]99.38[/C][C]99.7903[/C][C]99.5521[/C][C]0.238202[/C][C]-0.410285[/C][/ROW]
[ROW][C]66[/C][C]99.37[/C][C]99.7249[/C][C]99.3571[/C][C]0.367832[/C][C]-0.354915[/C][/ROW]
[ROW][C]67[/C][C]99.38[/C][C]99.3737[/C][C]99.235[/C][C]0.138665[/C][C]0.00633488[/C][/ROW]
[ROW][C]68[/C][C]99.26[/C][C]99.3027[/C][C]99.2325[/C][C]0.0701929[/C][C]-0.0426929[/C][/ROW]
[ROW][C]69[/C][C]99.36[/C][C]99.186[/C][C]99.2842[/C][C]-0.0981867[/C][C]0.17402[/C][/ROW]
[ROW][C]70[/C][C]99.2[/C][C]98.8717[/C][C]99.3392[/C][C]-0.467492[/C][C]0.328326[/C][/ROW]
[ROW][C]71[/C][C]98.53[/C][C]98.9186[/C][C]99.3983[/C][C]-0.479761[/C][C]-0.388573[/C][/ROW]
[ROW][C]72[/C][C]98.65[/C][C]98.8586[/C][C]99.45[/C][C]-0.591427[/C][C]-0.208573[/C][/ROW]
[ROW][C]73[/C][C]99.15[/C][C]99.2414[/C][C]99.4679[/C][C]-0.226474[/C][C]-0.0914429[/C][/ROW]
[ROW][C]74[/C][C]100.17[/C][C]99.6746[/C][C]99.4358[/C][C]0.238804[/C][C]0.495363[/C][/ROW]
[ROW][C]75[/C][C]99.98[/C][C]99.8134[/C][C]99.3842[/C][C]0.429267[/C][C]0.166566[/C][/ROW]
[ROW][C]76[/C][C]100.07[/C][C]99.7029[/C][C]99.3225[/C][C]0.380378[/C][C]0.367122[/C][/ROW]
[ROW][C]77[/C][C]99.94[/C][C]99.5407[/C][C]99.3025[/C][C]0.238202[/C][C]0.399298[/C][/ROW]
[ROW][C]78[/C][C]100.05[/C][C]99.6916[/C][C]99.3237[/C][C]0.367832[/C][C]0.358418[/C][/ROW]
[ROW][C]79[/C][C]99.13[/C][C]99.492[/C][C]99.3533[/C][C]0.138665[/C][C]-0.361998[/C][/ROW]
[ROW][C]80[/C][C]98.74[/C][C]99.4398[/C][C]99.3696[/C][C]0.0701929[/C][C]-0.699776[/C][/ROW]
[ROW][C]81[/C][C]98.64[/C][C]99.2714[/C][C]99.3696[/C][C]-0.0981867[/C][C]-0.631397[/C][/ROW]
[ROW][C]82[/C][C]98.44[/C][C]98.9258[/C][C]99.3933[/C][C]-0.467492[/C][C]-0.485841[/C][/ROW]
[ROW][C]83[/C][C]98.81[/C][C]98.9352[/C][C]99.415[/C][C]-0.479761[/C][C]-0.125239[/C][/ROW]
[ROW][C]84[/C][C]98.88[/C][C]98.8186[/C][C]99.41[/C][C]-0.591427[/C][C]0.0614275[/C][/ROW]
[ROW][C]85[/C][C]99.63[/C][C]99.2073[/C][C]99.4337[/C][C]-0.226474[/C][C]0.422724[/C][/ROW]
[ROW][C]86[/C][C]100.08[/C][C]99.7392[/C][C]99.5004[/C][C]0.238804[/C][C]0.340779[/C][/ROW]
[ROW][C]87[/C][C]100.07[/C][C]100.028[/C][C]99.5983[/C][C]0.429267[/C][C]0.0423997[/C][/ROW]
[ROW][C]88[/C][C]100.55[/C][C]100.115[/C][C]99.735[/C][C]0.380378[/C][C]0.434622[/C][/ROW]
[ROW][C]89[/C][C]99.98[/C][C]100.102[/C][C]99.8637[/C][C]0.238202[/C][C]-0.121952[/C][/ROW]
[ROW][C]90[/C][C]99.89[/C][C]100.326[/C][C]99.9583[/C][C]0.367832[/C][C]-0.436165[/C][/ROW]
[ROW][C]91[/C][C]99.86[/C][C]100.069[/C][C]99.9308[/C][C]0.138665[/C][C]-0.209498[/C][/ROW]
[ROW][C]92[/C][C]99.61[/C][C]99.8281[/C][C]99.7579[/C][C]0.0701929[/C][C]-0.21811[/C][/ROW]
[ROW][C]93[/C][C]100.12[/C][C]99.4806[/C][C]99.5788[/C][C]-0.0981867[/C][C]0.639437[/C][/ROW]
[ROW][C]94[/C][C]100.24[/C][C]98.9292[/C][C]99.3967[/C][C]-0.467492[/C][C]1.31083[/C][/ROW]
[ROW][C]95[/C][C]100.1[/C][C]98.7265[/C][C]99.2063[/C][C]-0.479761[/C][C]1.37351[/C][/ROW]
[ROW][C]96[/C][C]99.86[/C][C]98.4465[/C][C]99.0379[/C][C]-0.591427[/C][C]1.41351[/C][/ROW]
[ROW][C]97[/C][C]97.99[/C][C]98.6206[/C][C]98.8471[/C][C]-0.226474[/C][C]-0.63061[/C][/ROW]
[ROW][C]98[/C][C]97.57[/C][C]98.8592[/C][C]98.6204[/C][C]0.238804[/C][C]-1.28922[/C][/ROW]
[ROW][C]99[/C][C]98.28[/C][C]98.7897[/C][C]98.3604[/C][C]0.429267[/C][C]-0.509684[/C][/ROW]
[ROW][C]100[/C][C]97.97[/C][C]98.457[/C][C]98.0767[/C][C]0.380378[/C][C]-0.487045[/C][/ROW]
[ROW][C]101[/C][C]97.99[/C][C]98.0086[/C][C]97.7704[/C][C]0.238202[/C][C]-0.0186188[/C][/ROW]
[ROW][C]102[/C][C]97.84[/C][C]97.8282[/C][C]97.4604[/C][C]0.367832[/C][C]0.0117515[/C][/ROW]
[ROW][C]103[/C][C]97.33[/C][C]97.3866[/C][C]97.2479[/C][C]0.138665[/C][C]-0.0565818[/C][/ROW]
[ROW][C]104[/C][C]96.7[/C][C]97.2402[/C][C]97.17[/C][C]0.0701929[/C][C]-0.540193[/C][/ROW]
[ROW][C]105[/C][C]96.79[/C][C]97.0289[/C][C]97.1271[/C][C]-0.0981867[/C][C]-0.238897[/C][/ROW]
[ROW][C]106[/C][C]96.76[/C][C]96.5958[/C][C]97.0633[/C][C]-0.467492[/C][C]0.164159[/C][/ROW]
[ROW][C]107[/C][C]96.23[/C][C]96.5227[/C][C]97.0025[/C][C]-0.479761[/C][C]-0.292739[/C][/ROW]
[ROW][C]108[/C][C]96.29[/C][C]96.3136[/C][C]96.905[/C][C]-0.591427[/C][C]-0.0235725[/C][/ROW]
[ROW][C]109[/C][C]96.46[/C][C]96.5914[/C][C]96.8179[/C][C]-0.226474[/C][C]-0.131443[/C][/ROW]
[ROW][C]110[/C][C]97.23[/C][C]97.0413[/C][C]96.8025[/C][C]0.238804[/C][C]0.188696[/C][/ROW]
[ROW][C]111[/C][C]97.59[/C][C]97.2405[/C][C]96.8112[/C][C]0.429267[/C][C]0.349483[/C][/ROW]
[ROW][C]112[/C][C]97.13[/C][C]97.2166[/C][C]96.8362[/C][C]0.380378[/C][C]-0.0866281[/C][/ROW]
[ROW][C]113[/C][C]97.37[/C][C]97.1024[/C][C]96.8642[/C][C]0.238202[/C][C]0.267631[/C][/ROW]
[ROW][C]114[/C][C]96.12[/C][C]97.2599[/C][C]96.8921[/C][C]0.367832[/C][C]-1.13992[/C][/ROW]
[ROW][C]115[/C][C]96.96[/C][C]NA[/C][C]NA[/C][C]0.138665[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]96.7[/C][C]NA[/C][C]NA[/C][C]0.0701929[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]97[/C][C]NA[/C][C]NA[/C][C]-0.0981867[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]97.15[/C][C]NA[/C][C]NA[/C][C]-0.467492[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]96.51[/C][C]NA[/C][C]NA[/C][C]-0.479761[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]96.68[/C][C]NA[/C][C]NA[/C][C]-0.591427[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294846&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294846&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	92.09	NA	NA	-0.226474	NA
2	93.77	NA	NA	0.238804	NA
3	94.44	NA	NA	0.429267	NA
4	94.91	NA	NA	0.380378	NA
5	94.78	NA	NA	0.238202	NA
6	94.51	NA	NA	0.367832	NA
7	94.36	95.7699	95.6312	0.138665	-1.40992
8	96.6	96.1614	96.0912	0.0701929	0.438557
9	96.72	96.3485	96.4467	-0.0981867	0.37152
10	96.71	96.3613	96.8288	-0.467492	0.348742
11	97.44	96.7632	97.2429	-0.479761	0.676844
12	97.83	97.0961	97.6875	-0.591427	0.733927
13	98.92	97.9314	98.1579	-0.226474	0.988557
14	97.98	98.7538	98.515	0.238804	-0.773804
15	98.76	99.2168	98.7875	0.429267	-0.456767
16	99.76	99.5104	99.13	0.380378	0.249622
17	99.87	99.7595	99.5213	0.238202	0.110548
18	100.09	100.269	99.9013	0.367832	-0.179082
19	100.07	100.509	100.37	0.138665	-0.439082
20	99.46	101.189	101.119	0.0701929	-1.72894
21	100.4	101.949	102.047	-0.0981867	-1.5489
22	101.25	102.474	102.942	-0.467492	-1.22417
23	102.29	103.302	103.782	-0.479761	-1.01191
24	102.1	104.042	104.634	-0.591427	-1.94232
25	105.91	105.289	105.516	-0.226474	0.62064
26	108.95	106.654	106.415	0.238804	2.2962
27	110.07	107.728	107.299	0.429267	2.34157
28	109.92	108.486	108.105	0.380378	1.43421
29	109.87	109.051	108.813	0.238202	0.819298
30	110.54	109.847	109.479	0.367832	0.693418
31	110.79	110.138	109.999	0.138665	0.652168
32	110.32	110.344	110.273	0.0701929	-0.0235262
33	110.76	110.295	110.393	-0.0981867	0.464853
34	110.24	109.972	110.439	-0.467492	0.268326
35	110.27	109.924	110.404	-0.479761	0.346011
36	110.11	109.738	110.33	-0.591427	0.371844
37	110.39	110.025	110.252	-0.226474	0.364807
38	111.05	110.418	110.179	0.238804	0.632446
39	110.85	110.467	110.038	0.429267	0.383233
40	110.24	110.062	109.682	0.380378	0.177539
41	108.7	109.408	109.17	0.238202	-0.708202
42	109.93	108.969	108.601	0.367832	0.961335
43	109.53	108.123	107.984	0.138665	1.40717
44	109.83	107.39	107.32	0.0701929	2.43981
45	107.86	106.511	106.61	-0.0981867	1.3486
46	104.61	105.419	105.887	-0.467492	-0.809174
47	103.61	104.786	105.266	-0.479761	-1.17649
48	103.11	104.101	104.692	-0.591427	-0.990656
49	102.59	103.867	104.093	-0.226474	-1.27686
50	102.91	103.718	103.479	0.238804	-0.807971
51	101.94	103.292	102.862	0.429267	-1.35177
52	101.8	102.791	102.41	0.380378	-0.990795
53	102.25	102.389	102.15	0.238202	-0.138619
54	102.6	102.316	101.948	0.367832	0.284252
55	102.49	101.879	101.741	0.138665	0.610502
56	102.13	101.556	101.486	0.0701929	0.573974
57	100.76	101.14	101.238	-0.0981867	-0.380147
58	100.86	100.562	101.03	-0.467492	0.297909
59	101.12	100.322	100.802	-0.479761	0.797677
60	100.74	99.9565	100.548	-0.591427	0.783511
61	99.99	100.057	100.284	-0.226474	-0.0672762
62	99.39	100.273	100.035	0.238804	-0.883387
63	99.52	100.286	99.8567	0.429267	-0.765934
64	99.21	100.11	99.7292	0.380378	-0.899545
65	99.38	99.7903	99.5521	0.238202	-0.410285
66	99.37	99.7249	99.3571	0.367832	-0.354915
67	99.38	99.3737	99.235	0.138665	0.00633488
68	99.26	99.3027	99.2325	0.0701929	-0.0426929
69	99.36	99.186	99.2842	-0.0981867	0.17402
70	99.2	98.8717	99.3392	-0.467492	0.328326
71	98.53	98.9186	99.3983	-0.479761	-0.388573
72	98.65	98.8586	99.45	-0.591427	-0.208573
73	99.15	99.2414	99.4679	-0.226474	-0.0914429
74	100.17	99.6746	99.4358	0.238804	0.495363
75	99.98	99.8134	99.3842	0.429267	0.166566
76	100.07	99.7029	99.3225	0.380378	0.367122
77	99.94	99.5407	99.3025	0.238202	0.399298
78	100.05	99.6916	99.3237	0.367832	0.358418
79	99.13	99.492	99.3533	0.138665	-0.361998
80	98.74	99.4398	99.3696	0.0701929	-0.699776
81	98.64	99.2714	99.3696	-0.0981867	-0.631397
82	98.44	98.9258	99.3933	-0.467492	-0.485841
83	98.81	98.9352	99.415	-0.479761	-0.125239
84	98.88	98.8186	99.41	-0.591427	0.0614275
85	99.63	99.2073	99.4337	-0.226474	0.422724
86	100.08	99.7392	99.5004	0.238804	0.340779
87	100.07	100.028	99.5983	0.429267	0.0423997
88	100.55	100.115	99.735	0.380378	0.434622
89	99.98	100.102	99.8637	0.238202	-0.121952
90	99.89	100.326	99.9583	0.367832	-0.436165
91	99.86	100.069	99.9308	0.138665	-0.209498
92	99.61	99.8281	99.7579	0.0701929	-0.21811
93	100.12	99.4806	99.5788	-0.0981867	0.639437
94	100.24	98.9292	99.3967	-0.467492	1.31083
95	100.1	98.7265	99.2063	-0.479761	1.37351
96	99.86	98.4465	99.0379	-0.591427	1.41351
97	97.99	98.6206	98.8471	-0.226474	-0.63061
98	97.57	98.8592	98.6204	0.238804	-1.28922
99	98.28	98.7897	98.3604	0.429267	-0.509684
100	97.97	98.457	98.0767	0.380378	-0.487045
101	97.99	98.0086	97.7704	0.238202	-0.0186188
102	97.84	97.8282	97.4604	0.367832	0.0117515
103	97.33	97.3866	97.2479	0.138665	-0.0565818
104	96.7	97.2402	97.17	0.0701929	-0.540193
105	96.79	97.0289	97.1271	-0.0981867	-0.238897
106	96.76	96.5958	97.0633	-0.467492	0.164159
107	96.23	96.5227	97.0025	-0.479761	-0.292739
108	96.29	96.3136	96.905	-0.591427	-0.0235725
109	96.46	96.5914	96.8179	-0.226474	-0.131443
110	97.23	97.0413	96.8025	0.238804	0.188696
111	97.59	97.2405	96.8112	0.429267	0.349483
112	97.13	97.2166	96.8362	0.380378	-0.0866281
113	97.37	97.1024	96.8642	0.238202	0.267631
114	96.12	97.2599	96.8921	0.367832	-1.13992
115	96.96	NA	NA	0.138665	NA
116	96.7	NA	NA	0.0701929	NA
117	97	NA	NA	-0.0981867	NA
118	97.15	NA	NA	-0.467492	NA
119	96.51	NA	NA	-0.479761	NA
120	96.68	NA	NA	-0.591427	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