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*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sun, 24 Apr 2016 12:05:46 +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/24/t14614961154699ugzxempwtuu.htm/, Retrieved Tue, 30 Apr 2024 11:21:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=294626, Retrieved Tue, 30 Apr 2024 11:21:54 +0000

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Estimated Impact

120

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

-       [Classical Decomposition] [Opgave 9 oef 2] [2016-04-24 11:05:46] [3b4b14340a49fc08510bf0d59f03d4db] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294626&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294626&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294626&T=0

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	96.44	NA	NA	0.0574306	NA
2	96.35	NA	NA	0.0959028	NA
3	96.4	NA	NA	0.0866435	NA
4	96.66	NA	NA	0.0603935	NA
5	96.95	NA	NA	-0.116968	NA
6	97.14	NA	NA	-0.0765972	NA
7	97.27	97.0326	97.0504	-0.0178009	0.237384
8	97.34	97.098	97.1404	-0.0423843	0.241968
9	97.42	97.2137	97.2475	-0.0337731	0.206273
10	97.47	97.3398	97.3592	-0.0193287	0.130162
11	97.29	97.4108	97.435	-0.0241898	-0.12081
12	97.36	97.5094	97.4788	0.0306713	-0.149421
13	97.47	97.5749	97.5175	0.0574306	-0.104931
14	97.48	97.6501	97.5542	0.0959028	-0.170069
15	97.84	97.6771	97.5904	0.0866435	0.16294
16	97.9	97.6854	97.625	0.0603935	0.214606
17	97.53	97.5589	97.6758	-0.116968	-0.0288657
18	97.61	97.6697	97.7463	-0.0765972	-0.0596528
19	97.73	97.7984	97.8163	-0.0178009	-0.0684491
20	97.76	97.8443	97.8867	-0.0423843	-0.0842824
21	97.87	97.9112	97.945	-0.0337731	-0.0412269
22	97.85	97.9698	97.9892	-0.0193287	-0.119838
23	98.13	98.0129	98.0371	-0.0241898	0.117106
24	98.21	98.1178	98.0871	0.0306713	0.0922454
25	98.3	98.1887	98.1312	0.0574306	0.111319
26	98.34	98.2697	98.1738	0.0959028	0.0703472
27	98.38	98.3066	98.22	0.0866435	0.0733565
28	98.42	98.3333	98.2729	0.0603935	0.0866898
29	98.16	98.2018	98.3188	-0.116968	-0.0417824
30	98.18	98.283	98.3596	-0.0765972	-0.102986
31	98.22	98.388	98.4058	-0.0178009	-0.168032
32	98.29	98.4193	98.4617	-0.0423843	-0.129282
33	98.45	98.4954	98.5292	-0.0337731	-0.0453935
34	98.54	98.5819	98.6012	-0.0193287	-0.0419213
35	98.54	98.6316	98.6558	-0.0241898	-0.0916435
36	98.78	98.7228	98.6921	0.0306713	0.0572454
37	98.84	98.792	98.7346	0.0574306	0.0479861
38	99.14	98.8755	98.7796	0.0959028	0.264514
39	99.2	98.9071	98.8204	0.0866435	0.29294
40	99.33	98.9141	98.8538	0.0603935	0.415856
41	98.56	98.7664	98.8833	-0.116968	-0.206366
42	98.65	98.8338	98.9104	-0.0765972	-0.183819
43	98.77	98.9151	98.9329	-0.0178009	-0.145116
44	98.82	98.9001	98.9425	-0.0423843	-0.0801157
45	98.9	98.9008	98.9346	-0.0337731	-0.000810185
46	98.89	98.8944	98.9138	-0.0193287	-0.0044213
47	98.9	98.9029	98.9271	-0.0241898	-0.00289352
48	99.07	99.014	98.9833	0.0306713	0.0559954
49	99.09	99.0949	99.0375	0.0574306	-0.00493056
50	99.12	99.1822	99.0862	0.0959028	-0.0621528
51	99.03	99.2179	99.1312	0.0866435	-0.187894
52	99	99.2354	99.175	0.0603935	-0.235394
53	99.21	99.1097	99.2267	-0.116968	0.100301
54	99.35	99.2067	99.2833	-0.0765972	0.143264
55	99.37	99.3218	99.3396	-0.0178009	0.0482176
56	99.39	99.3543	99.3967	-0.0423843	0.0357176
57	99.41	99.4266	99.4604	-0.0337731	-0.0166435
58	99.43	99.5073	99.5267	-0.0193287	-0.077338
59	99.6	99.5725	99.5967	-0.0241898	0.0275231
60	99.73	99.7048	99.6742	0.0306713	0.025162
61	99.78	99.807	99.7496	0.0574306	-0.0270139
62	99.8	99.923	99.8271	0.0959028	-0.122986
63	99.88	99.9941	99.9075	0.0866435	-0.114144
64	99.74	100.054	99.9937	0.0603935	-0.314144
65	100.15	99.9314	100.048	-0.116968	0.218634
66	100.27	99.9838	100.06	-0.0765972	0.286181
67	100.26	100.048	100.066	-0.0178009	0.211968
68	100.36	100.026	100.068	-0.0423843	0.334051
69	100.37	100.027	100.06	-0.0337731	0.343356
70	100.54	100.034	100.053	-0.0193287	0.505995
71	99.8	100.001	100.025	-0.0241898	-0.201227
72	99.82	99.999	99.9683	0.0306713	-0.179005
73	99.82	99.9753	99.9179	0.0574306	-0.155347
74	99.82	99.9638	99.8679	0.0959028	-0.143819
75	99.67	99.9025	99.8158	0.0866435	-0.232477
76	99.78	99.8191	99.7587	0.0603935	-0.0391435
77	99.44	99.6134	99.7304	-0.116968	-0.173449
78	99.61	99.6634	99.74	-0.0765972	-0.0534028
79	99.71	99.7364	99.7542	-0.0178009	-0.0263657
80	99.71	99.7276	99.77	-0.0423843	-0.0176157
81	99.77	99.7591	99.7929	-0.0337731	0.0108565
82	99.77	99.7978	99.8171	-0.0193287	-0.0277546
83	99.89	99.8237	99.8479	-0.0241898	0.0662731
84	99.96	99.9073	99.8767	0.0306713	0.052662
85	100.02	99.9499	99.8925	0.0574306	0.0700694
86	100	100.005	99.9096	0.0959028	-0.00548611
87	100.04	100.014	99.9275	0.0866435	0.0258565
88	99.99	100.011	99.9504	0.0603935	-0.0208102
89	99.97	99.8597	99.9767	-0.116968	0.110301
90	99.77	99.9267	100.003	-0.0765972	-0.156736
91	99.93	100.018	100.036	-0.0178009	-0.0880324
92	99.9	100.043	100.085	-0.0423843	-0.142616
93	100.01	100.11	100.144	-0.0337731	-0.100394
94	100.08	100.191	100.21	-0.0193287	-0.111088
95	100.21	100.267	100.292	-0.0241898	-0.0574769
96	100.28	100.437	100.407	0.0306713	-0.157338
97	100.48	100.599	100.541	0.0574306	-0.118681
98	100.72	100.766	100.67	0.0959028	-0.0459028
99	100.74	100.882	100.795	0.0866435	-0.141644
100	100.88	100.985	100.924	0.0603935	-0.10456
101	101.03	100.968	101.085	-0.116968	0.0619676
102	101.47	101.194	101.271	-0.0765972	0.275764
103	101.46	101.438	101.456	-0.0178009	0.0215509
104	101.46	101.595	101.637	-0.0423843	-0.134699
105	101.45	101.783	101.817	-0.0337731	-0.332894
106	101.74	101.971	101.99	-0.0193287	-0.230671
107	102.41	102.124	102.148	-0.0241898	0.286273
108	102.54	102.314	102.284	0.0306713	0.225579
109	102.67	102.465	102.408	0.0574306	0.204653
110	102.87	102.631	102.535	0.0959028	0.238681
111	102.9	102.756	102.669	0.0866435	0.14419
112	102.88	102.86	102.8	0.0603935	0.0200231
113	102.82	102.838	102.955	-0.116968	-0.0176157
114	102.94	103.065	103.142	-0.0765972	-0.125486
115	102.97	NA	NA	-0.0178009	NA
116	103.01	NA	NA	-0.0423843	NA
117	103.11	NA	NA	-0.0337731	NA
118	103.21	NA	NA	-0.0193287	NA
119	104.66	NA	NA	-0.0241898	NA
120	104.79	NA	NA	0.0306713	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 96.44 & NA & NA & 0.0574306 & NA \tabularnewline
2 & 96.35 & NA & NA & 0.0959028 & NA \tabularnewline
3 & 96.4 & NA & NA & 0.0866435 & NA \tabularnewline
4 & 96.66 & NA & NA & 0.0603935 & NA \tabularnewline
5 & 96.95 & NA & NA & -0.116968 & NA \tabularnewline
6 & 97.14 & NA & NA & -0.0765972 & NA \tabularnewline
7 & 97.27 & 97.0326 & 97.0504 & -0.0178009 & 0.237384 \tabularnewline
8 & 97.34 & 97.098 & 97.1404 & -0.0423843 & 0.241968 \tabularnewline
9 & 97.42 & 97.2137 & 97.2475 & -0.0337731 & 0.206273 \tabularnewline
10 & 97.47 & 97.3398 & 97.3592 & -0.0193287 & 0.130162 \tabularnewline
11 & 97.29 & 97.4108 & 97.435 & -0.0241898 & -0.12081 \tabularnewline
12 & 97.36 & 97.5094 & 97.4788 & 0.0306713 & -0.149421 \tabularnewline
13 & 97.47 & 97.5749 & 97.5175 & 0.0574306 & -0.104931 \tabularnewline
14 & 97.48 & 97.6501 & 97.5542 & 0.0959028 & -0.170069 \tabularnewline
15 & 97.84 & 97.6771 & 97.5904 & 0.0866435 & 0.16294 \tabularnewline
16 & 97.9 & 97.6854 & 97.625 & 0.0603935 & 0.214606 \tabularnewline
17 & 97.53 & 97.5589 & 97.6758 & -0.116968 & -0.0288657 \tabularnewline
18 & 97.61 & 97.6697 & 97.7463 & -0.0765972 & -0.0596528 \tabularnewline
19 & 97.73 & 97.7984 & 97.8163 & -0.0178009 & -0.0684491 \tabularnewline
20 & 97.76 & 97.8443 & 97.8867 & -0.0423843 & -0.0842824 \tabularnewline
21 & 97.87 & 97.9112 & 97.945 & -0.0337731 & -0.0412269 \tabularnewline
22 & 97.85 & 97.9698 & 97.9892 & -0.0193287 & -0.119838 \tabularnewline
23 & 98.13 & 98.0129 & 98.0371 & -0.0241898 & 0.117106 \tabularnewline
24 & 98.21 & 98.1178 & 98.0871 & 0.0306713 & 0.0922454 \tabularnewline
25 & 98.3 & 98.1887 & 98.1312 & 0.0574306 & 0.111319 \tabularnewline
26 & 98.34 & 98.2697 & 98.1738 & 0.0959028 & 0.0703472 \tabularnewline
27 & 98.38 & 98.3066 & 98.22 & 0.0866435 & 0.0733565 \tabularnewline
28 & 98.42 & 98.3333 & 98.2729 & 0.0603935 & 0.0866898 \tabularnewline
29 & 98.16 & 98.2018 & 98.3188 & -0.116968 & -0.0417824 \tabularnewline
30 & 98.18 & 98.283 & 98.3596 & -0.0765972 & -0.102986 \tabularnewline
31 & 98.22 & 98.388 & 98.4058 & -0.0178009 & -0.168032 \tabularnewline
32 & 98.29 & 98.4193 & 98.4617 & -0.0423843 & -0.129282 \tabularnewline
33 & 98.45 & 98.4954 & 98.5292 & -0.0337731 & -0.0453935 \tabularnewline
34 & 98.54 & 98.5819 & 98.6012 & -0.0193287 & -0.0419213 \tabularnewline
35 & 98.54 & 98.6316 & 98.6558 & -0.0241898 & -0.0916435 \tabularnewline
36 & 98.78 & 98.7228 & 98.6921 & 0.0306713 & 0.0572454 \tabularnewline
37 & 98.84 & 98.792 & 98.7346 & 0.0574306 & 0.0479861 \tabularnewline
38 & 99.14 & 98.8755 & 98.7796 & 0.0959028 & 0.264514 \tabularnewline
39 & 99.2 & 98.9071 & 98.8204 & 0.0866435 & 0.29294 \tabularnewline
40 & 99.33 & 98.9141 & 98.8538 & 0.0603935 & 0.415856 \tabularnewline
41 & 98.56 & 98.7664 & 98.8833 & -0.116968 & -0.206366 \tabularnewline
42 & 98.65 & 98.8338 & 98.9104 & -0.0765972 & -0.183819 \tabularnewline
43 & 98.77 & 98.9151 & 98.9329 & -0.0178009 & -0.145116 \tabularnewline
44 & 98.82 & 98.9001 & 98.9425 & -0.0423843 & -0.0801157 \tabularnewline
45 & 98.9 & 98.9008 & 98.9346 & -0.0337731 & -0.000810185 \tabularnewline
46 & 98.89 & 98.8944 & 98.9138 & -0.0193287 & -0.0044213 \tabularnewline
47 & 98.9 & 98.9029 & 98.9271 & -0.0241898 & -0.00289352 \tabularnewline
48 & 99.07 & 99.014 & 98.9833 & 0.0306713 & 0.0559954 \tabularnewline
49 & 99.09 & 99.0949 & 99.0375 & 0.0574306 & -0.00493056 \tabularnewline
50 & 99.12 & 99.1822 & 99.0862 & 0.0959028 & -0.0621528 \tabularnewline
51 & 99.03 & 99.2179 & 99.1312 & 0.0866435 & -0.187894 \tabularnewline
52 & 99 & 99.2354 & 99.175 & 0.0603935 & -0.235394 \tabularnewline
53 & 99.21 & 99.1097 & 99.2267 & -0.116968 & 0.100301 \tabularnewline
54 & 99.35 & 99.2067 & 99.2833 & -0.0765972 & 0.143264 \tabularnewline
55 & 99.37 & 99.3218 & 99.3396 & -0.0178009 & 0.0482176 \tabularnewline
56 & 99.39 & 99.3543 & 99.3967 & -0.0423843 & 0.0357176 \tabularnewline
57 & 99.41 & 99.4266 & 99.4604 & -0.0337731 & -0.0166435 \tabularnewline
58 & 99.43 & 99.5073 & 99.5267 & -0.0193287 & -0.077338 \tabularnewline
59 & 99.6 & 99.5725 & 99.5967 & -0.0241898 & 0.0275231 \tabularnewline
60 & 99.73 & 99.7048 & 99.6742 & 0.0306713 & 0.025162 \tabularnewline
61 & 99.78 & 99.807 & 99.7496 & 0.0574306 & -0.0270139 \tabularnewline
62 & 99.8 & 99.923 & 99.8271 & 0.0959028 & -0.122986 \tabularnewline
63 & 99.88 & 99.9941 & 99.9075 & 0.0866435 & -0.114144 \tabularnewline
64 & 99.74 & 100.054 & 99.9937 & 0.0603935 & -0.314144 \tabularnewline
65 & 100.15 & 99.9314 & 100.048 & -0.116968 & 0.218634 \tabularnewline
66 & 100.27 & 99.9838 & 100.06 & -0.0765972 & 0.286181 \tabularnewline
67 & 100.26 & 100.048 & 100.066 & -0.0178009 & 0.211968 \tabularnewline
68 & 100.36 & 100.026 & 100.068 & -0.0423843 & 0.334051 \tabularnewline
69 & 100.37 & 100.027 & 100.06 & -0.0337731 & 0.343356 \tabularnewline
70 & 100.54 & 100.034 & 100.053 & -0.0193287 & 0.505995 \tabularnewline
71 & 99.8 & 100.001 & 100.025 & -0.0241898 & -0.201227 \tabularnewline
72 & 99.82 & 99.999 & 99.9683 & 0.0306713 & -0.179005 \tabularnewline
73 & 99.82 & 99.9753 & 99.9179 & 0.0574306 & -0.155347 \tabularnewline
74 & 99.82 & 99.9638 & 99.8679 & 0.0959028 & -0.143819 \tabularnewline
75 & 99.67 & 99.9025 & 99.8158 & 0.0866435 & -0.232477 \tabularnewline
76 & 99.78 & 99.8191 & 99.7587 & 0.0603935 & -0.0391435 \tabularnewline
77 & 99.44 & 99.6134 & 99.7304 & -0.116968 & -0.173449 \tabularnewline
78 & 99.61 & 99.6634 & 99.74 & -0.0765972 & -0.0534028 \tabularnewline
79 & 99.71 & 99.7364 & 99.7542 & -0.0178009 & -0.0263657 \tabularnewline
80 & 99.71 & 99.7276 & 99.77 & -0.0423843 & -0.0176157 \tabularnewline
81 & 99.77 & 99.7591 & 99.7929 & -0.0337731 & 0.0108565 \tabularnewline
82 & 99.77 & 99.7978 & 99.8171 & -0.0193287 & -0.0277546 \tabularnewline
83 & 99.89 & 99.8237 & 99.8479 & -0.0241898 & 0.0662731 \tabularnewline
84 & 99.96 & 99.9073 & 99.8767 & 0.0306713 & 0.052662 \tabularnewline
85 & 100.02 & 99.9499 & 99.8925 & 0.0574306 & 0.0700694 \tabularnewline
86 & 100 & 100.005 & 99.9096 & 0.0959028 & -0.00548611 \tabularnewline
87 & 100.04 & 100.014 & 99.9275 & 0.0866435 & 0.0258565 \tabularnewline
88 & 99.99 & 100.011 & 99.9504 & 0.0603935 & -0.0208102 \tabularnewline
89 & 99.97 & 99.8597 & 99.9767 & -0.116968 & 0.110301 \tabularnewline
90 & 99.77 & 99.9267 & 100.003 & -0.0765972 & -0.156736 \tabularnewline
91 & 99.93 & 100.018 & 100.036 & -0.0178009 & -0.0880324 \tabularnewline
92 & 99.9 & 100.043 & 100.085 & -0.0423843 & -0.142616 \tabularnewline
93 & 100.01 & 100.11 & 100.144 & -0.0337731 & -0.100394 \tabularnewline
94 & 100.08 & 100.191 & 100.21 & -0.0193287 & -0.111088 \tabularnewline
95 & 100.21 & 100.267 & 100.292 & -0.0241898 & -0.0574769 \tabularnewline
96 & 100.28 & 100.437 & 100.407 & 0.0306713 & -0.157338 \tabularnewline
97 & 100.48 & 100.599 & 100.541 & 0.0574306 & -0.118681 \tabularnewline
98 & 100.72 & 100.766 & 100.67 & 0.0959028 & -0.0459028 \tabularnewline
99 & 100.74 & 100.882 & 100.795 & 0.0866435 & -0.141644 \tabularnewline
100 & 100.88 & 100.985 & 100.924 & 0.0603935 & -0.10456 \tabularnewline
101 & 101.03 & 100.968 & 101.085 & -0.116968 & 0.0619676 \tabularnewline
102 & 101.47 & 101.194 & 101.271 & -0.0765972 & 0.275764 \tabularnewline
103 & 101.46 & 101.438 & 101.456 & -0.0178009 & 0.0215509 \tabularnewline
104 & 101.46 & 101.595 & 101.637 & -0.0423843 & -0.134699 \tabularnewline
105 & 101.45 & 101.783 & 101.817 & -0.0337731 & -0.332894 \tabularnewline
106 & 101.74 & 101.971 & 101.99 & -0.0193287 & -0.230671 \tabularnewline
107 & 102.41 & 102.124 & 102.148 & -0.0241898 & 0.286273 \tabularnewline
108 & 102.54 & 102.314 & 102.284 & 0.0306713 & 0.225579 \tabularnewline
109 & 102.67 & 102.465 & 102.408 & 0.0574306 & 0.204653 \tabularnewline
110 & 102.87 & 102.631 & 102.535 & 0.0959028 & 0.238681 \tabularnewline
111 & 102.9 & 102.756 & 102.669 & 0.0866435 & 0.14419 \tabularnewline
112 & 102.88 & 102.86 & 102.8 & 0.0603935 & 0.0200231 \tabularnewline
113 & 102.82 & 102.838 & 102.955 & -0.116968 & -0.0176157 \tabularnewline
114 & 102.94 & 103.065 & 103.142 & -0.0765972 & -0.125486 \tabularnewline
115 & 102.97 & NA & NA & -0.0178009 & NA \tabularnewline
116 & 103.01 & NA & NA & -0.0423843 & NA \tabularnewline
117 & 103.11 & NA & NA & -0.0337731 & NA \tabularnewline
118 & 103.21 & NA & NA & -0.0193287 & NA \tabularnewline
119 & 104.66 & NA & NA & -0.0241898 & NA \tabularnewline
120 & 104.79 & NA & NA & 0.0306713 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294626&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]96.44[/C][C]NA[/C][C]NA[/C][C]0.0574306[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]96.35[/C][C]NA[/C][C]NA[/C][C]0.0959028[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]96.4[/C][C]NA[/C][C]NA[/C][C]0.0866435[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]96.66[/C][C]NA[/C][C]NA[/C][C]0.0603935[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]96.95[/C][C]NA[/C][C]NA[/C][C]-0.116968[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]97.14[/C][C]NA[/C][C]NA[/C][C]-0.0765972[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]97.27[/C][C]97.0326[/C][C]97.0504[/C][C]-0.0178009[/C][C]0.237384[/C][/ROW]
[ROW][C]8[/C][C]97.34[/C][C]97.098[/C][C]97.1404[/C][C]-0.0423843[/C][C]0.241968[/C][/ROW]
[ROW][C]9[/C][C]97.42[/C][C]97.2137[/C][C]97.2475[/C][C]-0.0337731[/C][C]0.206273[/C][/ROW]
[ROW][C]10[/C][C]97.47[/C][C]97.3398[/C][C]97.3592[/C][C]-0.0193287[/C][C]0.130162[/C][/ROW]
[ROW][C]11[/C][C]97.29[/C][C]97.4108[/C][C]97.435[/C][C]-0.0241898[/C][C]-0.12081[/C][/ROW]
[ROW][C]12[/C][C]97.36[/C][C]97.5094[/C][C]97.4788[/C][C]0.0306713[/C][C]-0.149421[/C][/ROW]
[ROW][C]13[/C][C]97.47[/C][C]97.5749[/C][C]97.5175[/C][C]0.0574306[/C][C]-0.104931[/C][/ROW]
[ROW][C]14[/C][C]97.48[/C][C]97.6501[/C][C]97.5542[/C][C]0.0959028[/C][C]-0.170069[/C][/ROW]
[ROW][C]15[/C][C]97.84[/C][C]97.6771[/C][C]97.5904[/C][C]0.0866435[/C][C]0.16294[/C][/ROW]
[ROW][C]16[/C][C]97.9[/C][C]97.6854[/C][C]97.625[/C][C]0.0603935[/C][C]0.214606[/C][/ROW]
[ROW][C]17[/C][C]97.53[/C][C]97.5589[/C][C]97.6758[/C][C]-0.116968[/C][C]-0.0288657[/C][/ROW]
[ROW][C]18[/C][C]97.61[/C][C]97.6697[/C][C]97.7463[/C][C]-0.0765972[/C][C]-0.0596528[/C][/ROW]
[ROW][C]19[/C][C]97.73[/C][C]97.7984[/C][C]97.8163[/C][C]-0.0178009[/C][C]-0.0684491[/C][/ROW]
[ROW][C]20[/C][C]97.76[/C][C]97.8443[/C][C]97.8867[/C][C]-0.0423843[/C][C]-0.0842824[/C][/ROW]
[ROW][C]21[/C][C]97.87[/C][C]97.9112[/C][C]97.945[/C][C]-0.0337731[/C][C]-0.0412269[/C][/ROW]
[ROW][C]22[/C][C]97.85[/C][C]97.9698[/C][C]97.9892[/C][C]-0.0193287[/C][C]-0.119838[/C][/ROW]
[ROW][C]23[/C][C]98.13[/C][C]98.0129[/C][C]98.0371[/C][C]-0.0241898[/C][C]0.117106[/C][/ROW]
[ROW][C]24[/C][C]98.21[/C][C]98.1178[/C][C]98.0871[/C][C]0.0306713[/C][C]0.0922454[/C][/ROW]
[ROW][C]25[/C][C]98.3[/C][C]98.1887[/C][C]98.1312[/C][C]0.0574306[/C][C]0.111319[/C][/ROW]
[ROW][C]26[/C][C]98.34[/C][C]98.2697[/C][C]98.1738[/C][C]0.0959028[/C][C]0.0703472[/C][/ROW]
[ROW][C]27[/C][C]98.38[/C][C]98.3066[/C][C]98.22[/C][C]0.0866435[/C][C]0.0733565[/C][/ROW]
[ROW][C]28[/C][C]98.42[/C][C]98.3333[/C][C]98.2729[/C][C]0.0603935[/C][C]0.0866898[/C][/ROW]
[ROW][C]29[/C][C]98.16[/C][C]98.2018[/C][C]98.3188[/C][C]-0.116968[/C][C]-0.0417824[/C][/ROW]
[ROW][C]30[/C][C]98.18[/C][C]98.283[/C][C]98.3596[/C][C]-0.0765972[/C][C]-0.102986[/C][/ROW]
[ROW][C]31[/C][C]98.22[/C][C]98.388[/C][C]98.4058[/C][C]-0.0178009[/C][C]-0.168032[/C][/ROW]
[ROW][C]32[/C][C]98.29[/C][C]98.4193[/C][C]98.4617[/C][C]-0.0423843[/C][C]-0.129282[/C][/ROW]
[ROW][C]33[/C][C]98.45[/C][C]98.4954[/C][C]98.5292[/C][C]-0.0337731[/C][C]-0.0453935[/C][/ROW]
[ROW][C]34[/C][C]98.54[/C][C]98.5819[/C][C]98.6012[/C][C]-0.0193287[/C][C]-0.0419213[/C][/ROW]
[ROW][C]35[/C][C]98.54[/C][C]98.6316[/C][C]98.6558[/C][C]-0.0241898[/C][C]-0.0916435[/C][/ROW]
[ROW][C]36[/C][C]98.78[/C][C]98.7228[/C][C]98.6921[/C][C]0.0306713[/C][C]0.0572454[/C][/ROW]
[ROW][C]37[/C][C]98.84[/C][C]98.792[/C][C]98.7346[/C][C]0.0574306[/C][C]0.0479861[/C][/ROW]
[ROW][C]38[/C][C]99.14[/C][C]98.8755[/C][C]98.7796[/C][C]0.0959028[/C][C]0.264514[/C][/ROW]
[ROW][C]39[/C][C]99.2[/C][C]98.9071[/C][C]98.8204[/C][C]0.0866435[/C][C]0.29294[/C][/ROW]
[ROW][C]40[/C][C]99.33[/C][C]98.9141[/C][C]98.8538[/C][C]0.0603935[/C][C]0.415856[/C][/ROW]
[ROW][C]41[/C][C]98.56[/C][C]98.7664[/C][C]98.8833[/C][C]-0.116968[/C][C]-0.206366[/C][/ROW]
[ROW][C]42[/C][C]98.65[/C][C]98.8338[/C][C]98.9104[/C][C]-0.0765972[/C][C]-0.183819[/C][/ROW]
[ROW][C]43[/C][C]98.77[/C][C]98.9151[/C][C]98.9329[/C][C]-0.0178009[/C][C]-0.145116[/C][/ROW]
[ROW][C]44[/C][C]98.82[/C][C]98.9001[/C][C]98.9425[/C][C]-0.0423843[/C][C]-0.0801157[/C][/ROW]
[ROW][C]45[/C][C]98.9[/C][C]98.9008[/C][C]98.9346[/C][C]-0.0337731[/C][C]-0.000810185[/C][/ROW]
[ROW][C]46[/C][C]98.89[/C][C]98.8944[/C][C]98.9138[/C][C]-0.0193287[/C][C]-0.0044213[/C][/ROW]
[ROW][C]47[/C][C]98.9[/C][C]98.9029[/C][C]98.9271[/C][C]-0.0241898[/C][C]-0.00289352[/C][/ROW]
[ROW][C]48[/C][C]99.07[/C][C]99.014[/C][C]98.9833[/C][C]0.0306713[/C][C]0.0559954[/C][/ROW]
[ROW][C]49[/C][C]99.09[/C][C]99.0949[/C][C]99.0375[/C][C]0.0574306[/C][C]-0.00493056[/C][/ROW]
[ROW][C]50[/C][C]99.12[/C][C]99.1822[/C][C]99.0862[/C][C]0.0959028[/C][C]-0.0621528[/C][/ROW]
[ROW][C]51[/C][C]99.03[/C][C]99.2179[/C][C]99.1312[/C][C]0.0866435[/C][C]-0.187894[/C][/ROW]
[ROW][C]52[/C][C]99[/C][C]99.2354[/C][C]99.175[/C][C]0.0603935[/C][C]-0.235394[/C][/ROW]
[ROW][C]53[/C][C]99.21[/C][C]99.1097[/C][C]99.2267[/C][C]-0.116968[/C][C]0.100301[/C][/ROW]
[ROW][C]54[/C][C]99.35[/C][C]99.2067[/C][C]99.2833[/C][C]-0.0765972[/C][C]0.143264[/C][/ROW]
[ROW][C]55[/C][C]99.37[/C][C]99.3218[/C][C]99.3396[/C][C]-0.0178009[/C][C]0.0482176[/C][/ROW]
[ROW][C]56[/C][C]99.39[/C][C]99.3543[/C][C]99.3967[/C][C]-0.0423843[/C][C]0.0357176[/C][/ROW]
[ROW][C]57[/C][C]99.41[/C][C]99.4266[/C][C]99.4604[/C][C]-0.0337731[/C][C]-0.0166435[/C][/ROW]
[ROW][C]58[/C][C]99.43[/C][C]99.5073[/C][C]99.5267[/C][C]-0.0193287[/C][C]-0.077338[/C][/ROW]
[ROW][C]59[/C][C]99.6[/C][C]99.5725[/C][C]99.5967[/C][C]-0.0241898[/C][C]0.0275231[/C][/ROW]
[ROW][C]60[/C][C]99.73[/C][C]99.7048[/C][C]99.6742[/C][C]0.0306713[/C][C]0.025162[/C][/ROW]
[ROW][C]61[/C][C]99.78[/C][C]99.807[/C][C]99.7496[/C][C]0.0574306[/C][C]-0.0270139[/C][/ROW]
[ROW][C]62[/C][C]99.8[/C][C]99.923[/C][C]99.8271[/C][C]0.0959028[/C][C]-0.122986[/C][/ROW]
[ROW][C]63[/C][C]99.88[/C][C]99.9941[/C][C]99.9075[/C][C]0.0866435[/C][C]-0.114144[/C][/ROW]
[ROW][C]64[/C][C]99.74[/C][C]100.054[/C][C]99.9937[/C][C]0.0603935[/C][C]-0.314144[/C][/ROW]
[ROW][C]65[/C][C]100.15[/C][C]99.9314[/C][C]100.048[/C][C]-0.116968[/C][C]0.218634[/C][/ROW]
[ROW][C]66[/C][C]100.27[/C][C]99.9838[/C][C]100.06[/C][C]-0.0765972[/C][C]0.286181[/C][/ROW]
[ROW][C]67[/C][C]100.26[/C][C]100.048[/C][C]100.066[/C][C]-0.0178009[/C][C]0.211968[/C][/ROW]
[ROW][C]68[/C][C]100.36[/C][C]100.026[/C][C]100.068[/C][C]-0.0423843[/C][C]0.334051[/C][/ROW]
[ROW][C]69[/C][C]100.37[/C][C]100.027[/C][C]100.06[/C][C]-0.0337731[/C][C]0.343356[/C][/ROW]
[ROW][C]70[/C][C]100.54[/C][C]100.034[/C][C]100.053[/C][C]-0.0193287[/C][C]0.505995[/C][/ROW]
[ROW][C]71[/C][C]99.8[/C][C]100.001[/C][C]100.025[/C][C]-0.0241898[/C][C]-0.201227[/C][/ROW]
[ROW][C]72[/C][C]99.82[/C][C]99.999[/C][C]99.9683[/C][C]0.0306713[/C][C]-0.179005[/C][/ROW]
[ROW][C]73[/C][C]99.82[/C][C]99.9753[/C][C]99.9179[/C][C]0.0574306[/C][C]-0.155347[/C][/ROW]
[ROW][C]74[/C][C]99.82[/C][C]99.9638[/C][C]99.8679[/C][C]0.0959028[/C][C]-0.143819[/C][/ROW]
[ROW][C]75[/C][C]99.67[/C][C]99.9025[/C][C]99.8158[/C][C]0.0866435[/C][C]-0.232477[/C][/ROW]
[ROW][C]76[/C][C]99.78[/C][C]99.8191[/C][C]99.7587[/C][C]0.0603935[/C][C]-0.0391435[/C][/ROW]
[ROW][C]77[/C][C]99.44[/C][C]99.6134[/C][C]99.7304[/C][C]-0.116968[/C][C]-0.173449[/C][/ROW]
[ROW][C]78[/C][C]99.61[/C][C]99.6634[/C][C]99.74[/C][C]-0.0765972[/C][C]-0.0534028[/C][/ROW]
[ROW][C]79[/C][C]99.71[/C][C]99.7364[/C][C]99.7542[/C][C]-0.0178009[/C][C]-0.0263657[/C][/ROW]
[ROW][C]80[/C][C]99.71[/C][C]99.7276[/C][C]99.77[/C][C]-0.0423843[/C][C]-0.0176157[/C][/ROW]
[ROW][C]81[/C][C]99.77[/C][C]99.7591[/C][C]99.7929[/C][C]-0.0337731[/C][C]0.0108565[/C][/ROW]
[ROW][C]82[/C][C]99.77[/C][C]99.7978[/C][C]99.8171[/C][C]-0.0193287[/C][C]-0.0277546[/C][/ROW]
[ROW][C]83[/C][C]99.89[/C][C]99.8237[/C][C]99.8479[/C][C]-0.0241898[/C][C]0.0662731[/C][/ROW]
[ROW][C]84[/C][C]99.96[/C][C]99.9073[/C][C]99.8767[/C][C]0.0306713[/C][C]0.052662[/C][/ROW]
[ROW][C]85[/C][C]100.02[/C][C]99.9499[/C][C]99.8925[/C][C]0.0574306[/C][C]0.0700694[/C][/ROW]
[ROW][C]86[/C][C]100[/C][C]100.005[/C][C]99.9096[/C][C]0.0959028[/C][C]-0.00548611[/C][/ROW]
[ROW][C]87[/C][C]100.04[/C][C]100.014[/C][C]99.9275[/C][C]0.0866435[/C][C]0.0258565[/C][/ROW]
[ROW][C]88[/C][C]99.99[/C][C]100.011[/C][C]99.9504[/C][C]0.0603935[/C][C]-0.0208102[/C][/ROW]
[ROW][C]89[/C][C]99.97[/C][C]99.8597[/C][C]99.9767[/C][C]-0.116968[/C][C]0.110301[/C][/ROW]
[ROW][C]90[/C][C]99.77[/C][C]99.9267[/C][C]100.003[/C][C]-0.0765972[/C][C]-0.156736[/C][/ROW]
[ROW][C]91[/C][C]99.93[/C][C]100.018[/C][C]100.036[/C][C]-0.0178009[/C][C]-0.0880324[/C][/ROW]
[ROW][C]92[/C][C]99.9[/C][C]100.043[/C][C]100.085[/C][C]-0.0423843[/C][C]-0.142616[/C][/ROW]
[ROW][C]93[/C][C]100.01[/C][C]100.11[/C][C]100.144[/C][C]-0.0337731[/C][C]-0.100394[/C][/ROW]
[ROW][C]94[/C][C]100.08[/C][C]100.191[/C][C]100.21[/C][C]-0.0193287[/C][C]-0.111088[/C][/ROW]
[ROW][C]95[/C][C]100.21[/C][C]100.267[/C][C]100.292[/C][C]-0.0241898[/C][C]-0.0574769[/C][/ROW]
[ROW][C]96[/C][C]100.28[/C][C]100.437[/C][C]100.407[/C][C]0.0306713[/C][C]-0.157338[/C][/ROW]
[ROW][C]97[/C][C]100.48[/C][C]100.599[/C][C]100.541[/C][C]0.0574306[/C][C]-0.118681[/C][/ROW]
[ROW][C]98[/C][C]100.72[/C][C]100.766[/C][C]100.67[/C][C]0.0959028[/C][C]-0.0459028[/C][/ROW]
[ROW][C]99[/C][C]100.74[/C][C]100.882[/C][C]100.795[/C][C]0.0866435[/C][C]-0.141644[/C][/ROW]
[ROW][C]100[/C][C]100.88[/C][C]100.985[/C][C]100.924[/C][C]0.0603935[/C][C]-0.10456[/C][/ROW]
[ROW][C]101[/C][C]101.03[/C][C]100.968[/C][C]101.085[/C][C]-0.116968[/C][C]0.0619676[/C][/ROW]
[ROW][C]102[/C][C]101.47[/C][C]101.194[/C][C]101.271[/C][C]-0.0765972[/C][C]0.275764[/C][/ROW]
[ROW][C]103[/C][C]101.46[/C][C]101.438[/C][C]101.456[/C][C]-0.0178009[/C][C]0.0215509[/C][/ROW]
[ROW][C]104[/C][C]101.46[/C][C]101.595[/C][C]101.637[/C][C]-0.0423843[/C][C]-0.134699[/C][/ROW]
[ROW][C]105[/C][C]101.45[/C][C]101.783[/C][C]101.817[/C][C]-0.0337731[/C][C]-0.332894[/C][/ROW]
[ROW][C]106[/C][C]101.74[/C][C]101.971[/C][C]101.99[/C][C]-0.0193287[/C][C]-0.230671[/C][/ROW]
[ROW][C]107[/C][C]102.41[/C][C]102.124[/C][C]102.148[/C][C]-0.0241898[/C][C]0.286273[/C][/ROW]
[ROW][C]108[/C][C]102.54[/C][C]102.314[/C][C]102.284[/C][C]0.0306713[/C][C]0.225579[/C][/ROW]
[ROW][C]109[/C][C]102.67[/C][C]102.465[/C][C]102.408[/C][C]0.0574306[/C][C]0.204653[/C][/ROW]
[ROW][C]110[/C][C]102.87[/C][C]102.631[/C][C]102.535[/C][C]0.0959028[/C][C]0.238681[/C][/ROW]
[ROW][C]111[/C][C]102.9[/C][C]102.756[/C][C]102.669[/C][C]0.0866435[/C][C]0.14419[/C][/ROW]
[ROW][C]112[/C][C]102.88[/C][C]102.86[/C][C]102.8[/C][C]0.0603935[/C][C]0.0200231[/C][/ROW]
[ROW][C]113[/C][C]102.82[/C][C]102.838[/C][C]102.955[/C][C]-0.116968[/C][C]-0.0176157[/C][/ROW]
[ROW][C]114[/C][C]102.94[/C][C]103.065[/C][C]103.142[/C][C]-0.0765972[/C][C]-0.125486[/C][/ROW]
[ROW][C]115[/C][C]102.97[/C][C]NA[/C][C]NA[/C][C]-0.0178009[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]103.01[/C][C]NA[/C][C]NA[/C][C]-0.0423843[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]103.11[/C][C]NA[/C][C]NA[/C][C]-0.0337731[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]103.21[/C][C]NA[/C][C]NA[/C][C]-0.0193287[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]104.66[/C][C]NA[/C][C]NA[/C][C]-0.0241898[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]104.79[/C][C]NA[/C][C]NA[/C][C]0.0306713[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294626&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294626&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	96.44	NA	NA	0.0574306	NA
2	96.35	NA	NA	0.0959028	NA
3	96.4	NA	NA	0.0866435	NA
4	96.66	NA	NA	0.0603935	NA
5	96.95	NA	NA	-0.116968	NA
6	97.14	NA	NA	-0.0765972	NA
7	97.27	97.0326	97.0504	-0.0178009	0.237384
8	97.34	97.098	97.1404	-0.0423843	0.241968
9	97.42	97.2137	97.2475	-0.0337731	0.206273
10	97.47	97.3398	97.3592	-0.0193287	0.130162
11	97.29	97.4108	97.435	-0.0241898	-0.12081
12	97.36	97.5094	97.4788	0.0306713	-0.149421
13	97.47	97.5749	97.5175	0.0574306	-0.104931
14	97.48	97.6501	97.5542	0.0959028	-0.170069
15	97.84	97.6771	97.5904	0.0866435	0.16294
16	97.9	97.6854	97.625	0.0603935	0.214606
17	97.53	97.5589	97.6758	-0.116968	-0.0288657
18	97.61	97.6697	97.7463	-0.0765972	-0.0596528
19	97.73	97.7984	97.8163	-0.0178009	-0.0684491
20	97.76	97.8443	97.8867	-0.0423843	-0.0842824
21	97.87	97.9112	97.945	-0.0337731	-0.0412269
22	97.85	97.9698	97.9892	-0.0193287	-0.119838
23	98.13	98.0129	98.0371	-0.0241898	0.117106
24	98.21	98.1178	98.0871	0.0306713	0.0922454
25	98.3	98.1887	98.1312	0.0574306	0.111319
26	98.34	98.2697	98.1738	0.0959028	0.0703472
27	98.38	98.3066	98.22	0.0866435	0.0733565
28	98.42	98.3333	98.2729	0.0603935	0.0866898
29	98.16	98.2018	98.3188	-0.116968	-0.0417824
30	98.18	98.283	98.3596	-0.0765972	-0.102986
31	98.22	98.388	98.4058	-0.0178009	-0.168032
32	98.29	98.4193	98.4617	-0.0423843	-0.129282
33	98.45	98.4954	98.5292	-0.0337731	-0.0453935
34	98.54	98.5819	98.6012	-0.0193287	-0.0419213
35	98.54	98.6316	98.6558	-0.0241898	-0.0916435
36	98.78	98.7228	98.6921	0.0306713	0.0572454
37	98.84	98.792	98.7346	0.0574306	0.0479861
38	99.14	98.8755	98.7796	0.0959028	0.264514
39	99.2	98.9071	98.8204	0.0866435	0.29294
40	99.33	98.9141	98.8538	0.0603935	0.415856
41	98.56	98.7664	98.8833	-0.116968	-0.206366
42	98.65	98.8338	98.9104	-0.0765972	-0.183819
43	98.77	98.9151	98.9329	-0.0178009	-0.145116
44	98.82	98.9001	98.9425	-0.0423843	-0.0801157
45	98.9	98.9008	98.9346	-0.0337731	-0.000810185
46	98.89	98.8944	98.9138	-0.0193287	-0.0044213
47	98.9	98.9029	98.9271	-0.0241898	-0.00289352
48	99.07	99.014	98.9833	0.0306713	0.0559954
49	99.09	99.0949	99.0375	0.0574306	-0.00493056
50	99.12	99.1822	99.0862	0.0959028	-0.0621528
51	99.03	99.2179	99.1312	0.0866435	-0.187894
52	99	99.2354	99.175	0.0603935	-0.235394
53	99.21	99.1097	99.2267	-0.116968	0.100301
54	99.35	99.2067	99.2833	-0.0765972	0.143264
55	99.37	99.3218	99.3396	-0.0178009	0.0482176
56	99.39	99.3543	99.3967	-0.0423843	0.0357176
57	99.41	99.4266	99.4604	-0.0337731	-0.0166435
58	99.43	99.5073	99.5267	-0.0193287	-0.077338
59	99.6	99.5725	99.5967	-0.0241898	0.0275231
60	99.73	99.7048	99.6742	0.0306713	0.025162
61	99.78	99.807	99.7496	0.0574306	-0.0270139
62	99.8	99.923	99.8271	0.0959028	-0.122986
63	99.88	99.9941	99.9075	0.0866435	-0.114144
64	99.74	100.054	99.9937	0.0603935	-0.314144
65	100.15	99.9314	100.048	-0.116968	0.218634
66	100.27	99.9838	100.06	-0.0765972	0.286181
67	100.26	100.048	100.066	-0.0178009	0.211968
68	100.36	100.026	100.068	-0.0423843	0.334051
69	100.37	100.027	100.06	-0.0337731	0.343356
70	100.54	100.034	100.053	-0.0193287	0.505995
71	99.8	100.001	100.025	-0.0241898	-0.201227
72	99.82	99.999	99.9683	0.0306713	-0.179005
73	99.82	99.9753	99.9179	0.0574306	-0.155347
74	99.82	99.9638	99.8679	0.0959028	-0.143819
75	99.67	99.9025	99.8158	0.0866435	-0.232477
76	99.78	99.8191	99.7587	0.0603935	-0.0391435
77	99.44	99.6134	99.7304	-0.116968	-0.173449
78	99.61	99.6634	99.74	-0.0765972	-0.0534028
79	99.71	99.7364	99.7542	-0.0178009	-0.0263657
80	99.71	99.7276	99.77	-0.0423843	-0.0176157
81	99.77	99.7591	99.7929	-0.0337731	0.0108565
82	99.77	99.7978	99.8171	-0.0193287	-0.0277546
83	99.89	99.8237	99.8479	-0.0241898	0.0662731
84	99.96	99.9073	99.8767	0.0306713	0.052662
85	100.02	99.9499	99.8925	0.0574306	0.0700694
86	100	100.005	99.9096	0.0959028	-0.00548611
87	100.04	100.014	99.9275	0.0866435	0.0258565
88	99.99	100.011	99.9504	0.0603935	-0.0208102
89	99.97	99.8597	99.9767	-0.116968	0.110301
90	99.77	99.9267	100.003	-0.0765972	-0.156736
91	99.93	100.018	100.036	-0.0178009	-0.0880324
92	99.9	100.043	100.085	-0.0423843	-0.142616
93	100.01	100.11	100.144	-0.0337731	-0.100394
94	100.08	100.191	100.21	-0.0193287	-0.111088
95	100.21	100.267	100.292	-0.0241898	-0.0574769
96	100.28	100.437	100.407	0.0306713	-0.157338
97	100.48	100.599	100.541	0.0574306	-0.118681
98	100.72	100.766	100.67	0.0959028	-0.0459028
99	100.74	100.882	100.795	0.0866435	-0.141644
100	100.88	100.985	100.924	0.0603935	-0.10456
101	101.03	100.968	101.085	-0.116968	0.0619676
102	101.47	101.194	101.271	-0.0765972	0.275764
103	101.46	101.438	101.456	-0.0178009	0.0215509
104	101.46	101.595	101.637	-0.0423843	-0.134699
105	101.45	101.783	101.817	-0.0337731	-0.332894
106	101.74	101.971	101.99	-0.0193287	-0.230671
107	102.41	102.124	102.148	-0.0241898	0.286273
108	102.54	102.314	102.284	0.0306713	0.225579
109	102.67	102.465	102.408	0.0574306	0.204653
110	102.87	102.631	102.535	0.0959028	0.238681
111	102.9	102.756	102.669	0.0866435	0.14419
112	102.88	102.86	102.8	0.0603935	0.0200231
113	102.82	102.838	102.955	-0.116968	-0.0176157
114	102.94	103.065	103.142	-0.0765972	-0.125486
115	102.97	NA	NA	-0.0178009	NA
116	103.01	NA	NA	-0.0423843	NA
117	103.11	NA	NA	-0.0337731	NA
118	103.21	NA	NA	-0.0193287	NA
119	104.66	NA	NA	-0.0241898	NA
120	104.79	NA	NA	0.0306713	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