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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 25 Apr 2016 09:56:34 +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/Apr/25/t1461574729gw6fnyatb590mz2.htm/, Retrieved Mon, 06 May 2024 09:27:12 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=294666, Retrieved Mon, 06 May 2024 09:27:12 +0000

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Estimated Impact

113

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

-       [Classical Decomposition] [consumptieprijsin...] [2016-04-25 08:56:34] [567a9be58124adae7ccc8a0c8709ba48] [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	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294666&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294666&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294666&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	'George Udny Yule' @ yule.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	84.97	NA	NA	-0.437407	NA
2	85.57	NA	NA	-0.126852	NA
3	85.74	NA	NA	0.233565	NA
4	85.88	NA	NA	0.340741	NA
5	85.88	NA	NA	0.341389	NA
6	85.96	NA	NA	0.225602	NA
7	85.96	86.0131	85.9504	0.0626852	-0.0531019
8	85.99	86.026	86.0567	-0.0306481	-0.0360185
9	86.02	86.0963	86.1787	-0.0824537	-0.0762963
10	86.14	86.2235	86.3137	-0.0902315	-0.0835185
11	86.3	86.2825	86.4358	-0.153333	0.0175
12	86.32	86.2682	86.5512	-0.283056	0.0518056
13	86.32	86.2263	86.6637	-0.437407	0.0936574
14	86.77	86.6511	86.7779	-0.126852	0.118935
15	87.47	87.1269	86.8933	0.233565	0.343102
16	87.39	87.3407	87	0.340741	0.0492593
17	87.3	87.4351	87.0937	0.341389	-0.135139
18	87.31	87.4089	87.1833	0.225602	-0.0989352
19	87.31	87.336	87.2733	0.0626852	-0.0260185
20	87.38	87.3344	87.365	-0.0306481	0.0456481
21	87.4	87.3388	87.4212	-0.0824537	0.0612037
22	87.32	87.3614	87.4517	-0.0902315	-0.0414352
23	87.37	87.3492	87.5025	-0.153333	0.0208333
24	87.4	87.2815	87.5646	-0.283056	0.118472
25	87.4	87.1913	87.6288	-0.437407	0.208657
26	87.89	87.5661	87.6929	-0.126852	0.323935
27	87.7	87.9923	87.7588	0.233565	-0.292315
28	87.89	88.1787	87.8379	0.340741	-0.288657
29	88.02	88.2672	87.9258	0.341389	-0.247222
30	88.08	88.236	88.0104	0.225602	-0.156019
31	88.08	88.1573	88.0946	0.0626852	-0.0772685
32	88.15	88.1564	88.1871	-0.0306481	-0.00643519
33	88.21	88.2655	88.3479	-0.0824537	-0.055463
34	88.41	88.4814	88.5717	-0.0902315	-0.0714352
35	88.39	88.6633	88.8167	-0.153333	-0.273333
36	88.41	88.7961	89.0792	-0.283056	-0.386111
37	88.41	88.9034	89.3408	-0.437407	-0.493426
38	89.1	89.4802	89.6071	-0.126852	-0.380231
39	90.35	90.114	89.8804	0.233565	0.236019
40	90.61	90.4953	90.1546	0.340741	0.114676
41	91.18	90.7706	90.4292	0.341389	0.409444
42	91.22	90.9331	90.7075	0.225602	0.286898
43	91.22	91.0502	90.9875	0.0626852	0.169815
44	91.4	91.2244	91.255	-0.0306481	0.175648
45	91.52	91.4371	91.5196	-0.0824537	0.0828704
46	91.68	91.6985	91.7887	-0.0902315	-0.0185185
47	91.71	91.8833	92.0367	-0.153333	-0.173333
48	91.77	91.9778	92.2608	-0.283056	-0.207778
49	91.77	92.0401	92.4775	-0.437407	-0.270093
50	92.16	92.5627	92.6896	-0.126852	-0.402731
51	93.64	93.1323	92.8987	0.233565	0.507685
52	93.78	93.4607	93.12	0.340741	0.319259
53	93.96	93.6985	93.3571	0.341389	0.261528
54	93.82	93.8269	93.6012	0.225602	-0.00685185
55	93.82	93.9098	93.8471	0.0626852	-0.0897685
56	93.89	94.0894	94.12	-0.0306481	-0.199352
57	94.05	94.2917	94.3742	-0.0824537	-0.241713
58	94.46	94.5269	94.6171	-0.0902315	-0.0668519
59	94.62	94.7371	94.8904	-0.153333	-0.117083
60	94.72	94.8924	95.1754	-0.283056	-0.172361
61	94.72	95.0388	95.4763	-0.437407	-0.318843
62	95.76	95.6527	95.7796	-0.126852	0.107269
63	96.14	96.3165	96.0829	0.233565	-0.176481
64	97.11	96.7112	96.3704	0.340741	0.398843
65	97.19	96.9822	96.6408	0.341389	0.207778
66	97.43	97.1289	96.9033	0.225602	0.301065
67	97.43	97.2244	97.1617	0.0626852	0.205648
68	97.56	97.3681	97.3987	-0.0306481	0.191898
69	97.66	97.5096	97.5921	-0.0824537	0.15037
70	97.75	97.6323	97.7225	-0.0902315	0.117731
71	97.82	97.6567	97.81	-0.153333	0.163333
72	97.82	97.6024	97.8854	-0.283056	0.217639
73	97.82	97.5155	97.9529	-0.437407	0.304491
74	98.35	97.8886	98.0154	-0.126852	0.461435
75	98.19	98.3019	98.0683	0.233565	-0.111898
76	98.19	98.4653	98.1246	0.340741	-0.275324
77	98.21	98.526	98.1846	0.341389	-0.315972
78	98.22	98.4677	98.2421	0.225602	-0.247685
79	98.26	98.3623	98.2996	0.0626852	-0.102269
80	98.23	98.3202	98.3508	-0.0306481	-0.0901852
81	98.26	98.3475	98.43	-0.0824537	-0.0875463
82	98.5	98.4677	98.5579	-0.0902315	0.0323148
83	98.51	98.5554	98.7088	-0.153333	-0.0454167
84	98.51	98.5832	98.8663	-0.283056	-0.0731944
85	98.51	98.583	99.0204	-0.437407	-0.0730093
86	98.89	99.0473	99.1742	-0.126852	-0.157315
87	99.55	99.5769	99.3433	0.233565	-0.0268981
88	99.9	99.8678	99.5271	0.340741	0.0321759
89	100.12	100.056	99.7142	0.341389	0.0644444
90	100.09	100.13	99.9042	0.225602	-0.0397685
91	100.09	100.163	100.1	0.0626852	-0.0726852
92	100.09	100.264	100.295	-0.0306481	-0.174352
93	100.46	100.389	100.472	-0.0824537	0.070787
94	100.71	100.548	100.638	-0.0902315	0.162315
95	100.79	100.654	100.808	-0.153333	0.135833
96	100.79	100.7	100.983	-0.283056	0.0901389
97	100.93	100.723	101.16	-0.437407	0.206991
98	101.15	101.214	101.341	-0.126852	-0.0643981
99	101.53	101.75	101.516	0.233565	-0.219815
100	101.91	102.012	101.671	0.340741	-0.101574
101	102.18	102.17	101.829	0.341389	0.00986111
102	102.24	102.23	102.005	0.225602	0.00981481
103	102.2	102.242	102.18	0.0626852	-0.0422685
104	102.32	102.315	102.345	-0.0306481	0.00523148
105	102.43	102.422	102.505	-0.0824537	0.00787037
106	102.45	102.569	102.659	-0.0902315	-0.118519
107	102.84	102.656	102.81	-0.153333	0.18375
108	102.96	102.687	102.97	-0.283056	0.273472
109	102.96	102.706	103.144	-0.437407	0.253657
110	103.1	103.195	103.322	-0.126852	-0.0948148
111	103.4	103.747	103.514	0.233565	-0.347315
112	103.74	104.077	103.736	0.340741	-0.336574
113	103.97	104.313	103.971	0.341389	-0.342639
114	104.29	104.426	104.201	0.225602	-0.136435
115	104.33	NA	NA	0.0626852	NA
116	104.46	NA	NA	-0.0306481	NA
117	104.9	NA	NA	-0.0824537	NA
118	105.31	NA	NA	-0.0902315	NA
119	105.63	NA	NA	-0.153333	NA
120	105.68	NA	NA	-0.283056	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 84.97 & NA & NA & -0.437407 & NA \tabularnewline
2 & 85.57 & NA & NA & -0.126852 & NA \tabularnewline
3 & 85.74 & NA & NA & 0.233565 & NA \tabularnewline
4 & 85.88 & NA & NA & 0.340741 & NA \tabularnewline
5 & 85.88 & NA & NA & 0.341389 & NA \tabularnewline
6 & 85.96 & NA & NA & 0.225602 & NA \tabularnewline
7 & 85.96 & 86.0131 & 85.9504 & 0.0626852 & -0.0531019 \tabularnewline
8 & 85.99 & 86.026 & 86.0567 & -0.0306481 & -0.0360185 \tabularnewline
9 & 86.02 & 86.0963 & 86.1787 & -0.0824537 & -0.0762963 \tabularnewline
10 & 86.14 & 86.2235 & 86.3137 & -0.0902315 & -0.0835185 \tabularnewline
11 & 86.3 & 86.2825 & 86.4358 & -0.153333 & 0.0175 \tabularnewline
12 & 86.32 & 86.2682 & 86.5512 & -0.283056 & 0.0518056 \tabularnewline
13 & 86.32 & 86.2263 & 86.6637 & -0.437407 & 0.0936574 \tabularnewline
14 & 86.77 & 86.6511 & 86.7779 & -0.126852 & 0.118935 \tabularnewline
15 & 87.47 & 87.1269 & 86.8933 & 0.233565 & 0.343102 \tabularnewline
16 & 87.39 & 87.3407 & 87 & 0.340741 & 0.0492593 \tabularnewline
17 & 87.3 & 87.4351 & 87.0937 & 0.341389 & -0.135139 \tabularnewline
18 & 87.31 & 87.4089 & 87.1833 & 0.225602 & -0.0989352 \tabularnewline
19 & 87.31 & 87.336 & 87.2733 & 0.0626852 & -0.0260185 \tabularnewline
20 & 87.38 & 87.3344 & 87.365 & -0.0306481 & 0.0456481 \tabularnewline
21 & 87.4 & 87.3388 & 87.4212 & -0.0824537 & 0.0612037 \tabularnewline
22 & 87.32 & 87.3614 & 87.4517 & -0.0902315 & -0.0414352 \tabularnewline
23 & 87.37 & 87.3492 & 87.5025 & -0.153333 & 0.0208333 \tabularnewline
24 & 87.4 & 87.2815 & 87.5646 & -0.283056 & 0.118472 \tabularnewline
25 & 87.4 & 87.1913 & 87.6288 & -0.437407 & 0.208657 \tabularnewline
26 & 87.89 & 87.5661 & 87.6929 & -0.126852 & 0.323935 \tabularnewline
27 & 87.7 & 87.9923 & 87.7588 & 0.233565 & -0.292315 \tabularnewline
28 & 87.89 & 88.1787 & 87.8379 & 0.340741 & -0.288657 \tabularnewline
29 & 88.02 & 88.2672 & 87.9258 & 0.341389 & -0.247222 \tabularnewline
30 & 88.08 & 88.236 & 88.0104 & 0.225602 & -0.156019 \tabularnewline
31 & 88.08 & 88.1573 & 88.0946 & 0.0626852 & -0.0772685 \tabularnewline
32 & 88.15 & 88.1564 & 88.1871 & -0.0306481 & -0.00643519 \tabularnewline
33 & 88.21 & 88.2655 & 88.3479 & -0.0824537 & -0.055463 \tabularnewline
34 & 88.41 & 88.4814 & 88.5717 & -0.0902315 & -0.0714352 \tabularnewline
35 & 88.39 & 88.6633 & 88.8167 & -0.153333 & -0.273333 \tabularnewline
36 & 88.41 & 88.7961 & 89.0792 & -0.283056 & -0.386111 \tabularnewline
37 & 88.41 & 88.9034 & 89.3408 & -0.437407 & -0.493426 \tabularnewline
38 & 89.1 & 89.4802 & 89.6071 & -0.126852 & -0.380231 \tabularnewline
39 & 90.35 & 90.114 & 89.8804 & 0.233565 & 0.236019 \tabularnewline
40 & 90.61 & 90.4953 & 90.1546 & 0.340741 & 0.114676 \tabularnewline
41 & 91.18 & 90.7706 & 90.4292 & 0.341389 & 0.409444 \tabularnewline
42 & 91.22 & 90.9331 & 90.7075 & 0.225602 & 0.286898 \tabularnewline
43 & 91.22 & 91.0502 & 90.9875 & 0.0626852 & 0.169815 \tabularnewline
44 & 91.4 & 91.2244 & 91.255 & -0.0306481 & 0.175648 \tabularnewline
45 & 91.52 & 91.4371 & 91.5196 & -0.0824537 & 0.0828704 \tabularnewline
46 & 91.68 & 91.6985 & 91.7887 & -0.0902315 & -0.0185185 \tabularnewline
47 & 91.71 & 91.8833 & 92.0367 & -0.153333 & -0.173333 \tabularnewline
48 & 91.77 & 91.9778 & 92.2608 & -0.283056 & -0.207778 \tabularnewline
49 & 91.77 & 92.0401 & 92.4775 & -0.437407 & -0.270093 \tabularnewline
50 & 92.16 & 92.5627 & 92.6896 & -0.126852 & -0.402731 \tabularnewline
51 & 93.64 & 93.1323 & 92.8987 & 0.233565 & 0.507685 \tabularnewline
52 & 93.78 & 93.4607 & 93.12 & 0.340741 & 0.319259 \tabularnewline
53 & 93.96 & 93.6985 & 93.3571 & 0.341389 & 0.261528 \tabularnewline
54 & 93.82 & 93.8269 & 93.6012 & 0.225602 & -0.00685185 \tabularnewline
55 & 93.82 & 93.9098 & 93.8471 & 0.0626852 & -0.0897685 \tabularnewline
56 & 93.89 & 94.0894 & 94.12 & -0.0306481 & -0.199352 \tabularnewline
57 & 94.05 & 94.2917 & 94.3742 & -0.0824537 & -0.241713 \tabularnewline
58 & 94.46 & 94.5269 & 94.6171 & -0.0902315 & -0.0668519 \tabularnewline
59 & 94.62 & 94.7371 & 94.8904 & -0.153333 & -0.117083 \tabularnewline
60 & 94.72 & 94.8924 & 95.1754 & -0.283056 & -0.172361 \tabularnewline
61 & 94.72 & 95.0388 & 95.4763 & -0.437407 & -0.318843 \tabularnewline
62 & 95.76 & 95.6527 & 95.7796 & -0.126852 & 0.107269 \tabularnewline
63 & 96.14 & 96.3165 & 96.0829 & 0.233565 & -0.176481 \tabularnewline
64 & 97.11 & 96.7112 & 96.3704 & 0.340741 & 0.398843 \tabularnewline
65 & 97.19 & 96.9822 & 96.6408 & 0.341389 & 0.207778 \tabularnewline
66 & 97.43 & 97.1289 & 96.9033 & 0.225602 & 0.301065 \tabularnewline
67 & 97.43 & 97.2244 & 97.1617 & 0.0626852 & 0.205648 \tabularnewline
68 & 97.56 & 97.3681 & 97.3987 & -0.0306481 & 0.191898 \tabularnewline
69 & 97.66 & 97.5096 & 97.5921 & -0.0824537 & 0.15037 \tabularnewline
70 & 97.75 & 97.6323 & 97.7225 & -0.0902315 & 0.117731 \tabularnewline
71 & 97.82 & 97.6567 & 97.81 & -0.153333 & 0.163333 \tabularnewline
72 & 97.82 & 97.6024 & 97.8854 & -0.283056 & 0.217639 \tabularnewline
73 & 97.82 & 97.5155 & 97.9529 & -0.437407 & 0.304491 \tabularnewline
74 & 98.35 & 97.8886 & 98.0154 & -0.126852 & 0.461435 \tabularnewline
75 & 98.19 & 98.3019 & 98.0683 & 0.233565 & -0.111898 \tabularnewline
76 & 98.19 & 98.4653 & 98.1246 & 0.340741 & -0.275324 \tabularnewline
77 & 98.21 & 98.526 & 98.1846 & 0.341389 & -0.315972 \tabularnewline
78 & 98.22 & 98.4677 & 98.2421 & 0.225602 & -0.247685 \tabularnewline
79 & 98.26 & 98.3623 & 98.2996 & 0.0626852 & -0.102269 \tabularnewline
80 & 98.23 & 98.3202 & 98.3508 & -0.0306481 & -0.0901852 \tabularnewline
81 & 98.26 & 98.3475 & 98.43 & -0.0824537 & -0.0875463 \tabularnewline
82 & 98.5 & 98.4677 & 98.5579 & -0.0902315 & 0.0323148 \tabularnewline
83 & 98.51 & 98.5554 & 98.7088 & -0.153333 & -0.0454167 \tabularnewline
84 & 98.51 & 98.5832 & 98.8663 & -0.283056 & -0.0731944 \tabularnewline
85 & 98.51 & 98.583 & 99.0204 & -0.437407 & -0.0730093 \tabularnewline
86 & 98.89 & 99.0473 & 99.1742 & -0.126852 & -0.157315 \tabularnewline
87 & 99.55 & 99.5769 & 99.3433 & 0.233565 & -0.0268981 \tabularnewline
88 & 99.9 & 99.8678 & 99.5271 & 0.340741 & 0.0321759 \tabularnewline
89 & 100.12 & 100.056 & 99.7142 & 0.341389 & 0.0644444 \tabularnewline
90 & 100.09 & 100.13 & 99.9042 & 0.225602 & -0.0397685 \tabularnewline
91 & 100.09 & 100.163 & 100.1 & 0.0626852 & -0.0726852 \tabularnewline
92 & 100.09 & 100.264 & 100.295 & -0.0306481 & -0.174352 \tabularnewline
93 & 100.46 & 100.389 & 100.472 & -0.0824537 & 0.070787 \tabularnewline
94 & 100.71 & 100.548 & 100.638 & -0.0902315 & 0.162315 \tabularnewline
95 & 100.79 & 100.654 & 100.808 & -0.153333 & 0.135833 \tabularnewline
96 & 100.79 & 100.7 & 100.983 & -0.283056 & 0.0901389 \tabularnewline
97 & 100.93 & 100.723 & 101.16 & -0.437407 & 0.206991 \tabularnewline
98 & 101.15 & 101.214 & 101.341 & -0.126852 & -0.0643981 \tabularnewline
99 & 101.53 & 101.75 & 101.516 & 0.233565 & -0.219815 \tabularnewline
100 & 101.91 & 102.012 & 101.671 & 0.340741 & -0.101574 \tabularnewline
101 & 102.18 & 102.17 & 101.829 & 0.341389 & 0.00986111 \tabularnewline
102 & 102.24 & 102.23 & 102.005 & 0.225602 & 0.00981481 \tabularnewline
103 & 102.2 & 102.242 & 102.18 & 0.0626852 & -0.0422685 \tabularnewline
104 & 102.32 & 102.315 & 102.345 & -0.0306481 & 0.00523148 \tabularnewline
105 & 102.43 & 102.422 & 102.505 & -0.0824537 & 0.00787037 \tabularnewline
106 & 102.45 & 102.569 & 102.659 & -0.0902315 & -0.118519 \tabularnewline
107 & 102.84 & 102.656 & 102.81 & -0.153333 & 0.18375 \tabularnewline
108 & 102.96 & 102.687 & 102.97 & -0.283056 & 0.273472 \tabularnewline
109 & 102.96 & 102.706 & 103.144 & -0.437407 & 0.253657 \tabularnewline
110 & 103.1 & 103.195 & 103.322 & -0.126852 & -0.0948148 \tabularnewline
111 & 103.4 & 103.747 & 103.514 & 0.233565 & -0.347315 \tabularnewline
112 & 103.74 & 104.077 & 103.736 & 0.340741 & -0.336574 \tabularnewline
113 & 103.97 & 104.313 & 103.971 & 0.341389 & -0.342639 \tabularnewline
114 & 104.29 & 104.426 & 104.201 & 0.225602 & -0.136435 \tabularnewline
115 & 104.33 & NA & NA & 0.0626852 & NA \tabularnewline
116 & 104.46 & NA & NA & -0.0306481 & NA \tabularnewline
117 & 104.9 & NA & NA & -0.0824537 & NA \tabularnewline
118 & 105.31 & NA & NA & -0.0902315 & NA \tabularnewline
119 & 105.63 & NA & NA & -0.153333 & NA \tabularnewline
120 & 105.68 & NA & NA & -0.283056 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294666&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]84.97[/C][C]NA[/C][C]NA[/C][C]-0.437407[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]85.57[/C][C]NA[/C][C]NA[/C][C]-0.126852[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]85.74[/C][C]NA[/C][C]NA[/C][C]0.233565[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]85.88[/C][C]NA[/C][C]NA[/C][C]0.340741[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]85.88[/C][C]NA[/C][C]NA[/C][C]0.341389[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]85.96[/C][C]NA[/C][C]NA[/C][C]0.225602[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]85.96[/C][C]86.0131[/C][C]85.9504[/C][C]0.0626852[/C][C]-0.0531019[/C][/ROW]
[ROW][C]8[/C][C]85.99[/C][C]86.026[/C][C]86.0567[/C][C]-0.0306481[/C][C]-0.0360185[/C][/ROW]
[ROW][C]9[/C][C]86.02[/C][C]86.0963[/C][C]86.1787[/C][C]-0.0824537[/C][C]-0.0762963[/C][/ROW]
[ROW][C]10[/C][C]86.14[/C][C]86.2235[/C][C]86.3137[/C][C]-0.0902315[/C][C]-0.0835185[/C][/ROW]
[ROW][C]11[/C][C]86.3[/C][C]86.2825[/C][C]86.4358[/C][C]-0.153333[/C][C]0.0175[/C][/ROW]
[ROW][C]12[/C][C]86.32[/C][C]86.2682[/C][C]86.5512[/C][C]-0.283056[/C][C]0.0518056[/C][/ROW]
[ROW][C]13[/C][C]86.32[/C][C]86.2263[/C][C]86.6637[/C][C]-0.437407[/C][C]0.0936574[/C][/ROW]
[ROW][C]14[/C][C]86.77[/C][C]86.6511[/C][C]86.7779[/C][C]-0.126852[/C][C]0.118935[/C][/ROW]
[ROW][C]15[/C][C]87.47[/C][C]87.1269[/C][C]86.8933[/C][C]0.233565[/C][C]0.343102[/C][/ROW]
[ROW][C]16[/C][C]87.39[/C][C]87.3407[/C][C]87[/C][C]0.340741[/C][C]0.0492593[/C][/ROW]
[ROW][C]17[/C][C]87.3[/C][C]87.4351[/C][C]87.0937[/C][C]0.341389[/C][C]-0.135139[/C][/ROW]
[ROW][C]18[/C][C]87.31[/C][C]87.4089[/C][C]87.1833[/C][C]0.225602[/C][C]-0.0989352[/C][/ROW]
[ROW][C]19[/C][C]87.31[/C][C]87.336[/C][C]87.2733[/C][C]0.0626852[/C][C]-0.0260185[/C][/ROW]
[ROW][C]20[/C][C]87.38[/C][C]87.3344[/C][C]87.365[/C][C]-0.0306481[/C][C]0.0456481[/C][/ROW]
[ROW][C]21[/C][C]87.4[/C][C]87.3388[/C][C]87.4212[/C][C]-0.0824537[/C][C]0.0612037[/C][/ROW]
[ROW][C]22[/C][C]87.32[/C][C]87.3614[/C][C]87.4517[/C][C]-0.0902315[/C][C]-0.0414352[/C][/ROW]
[ROW][C]23[/C][C]87.37[/C][C]87.3492[/C][C]87.5025[/C][C]-0.153333[/C][C]0.0208333[/C][/ROW]
[ROW][C]24[/C][C]87.4[/C][C]87.2815[/C][C]87.5646[/C][C]-0.283056[/C][C]0.118472[/C][/ROW]
[ROW][C]25[/C][C]87.4[/C][C]87.1913[/C][C]87.6288[/C][C]-0.437407[/C][C]0.208657[/C][/ROW]
[ROW][C]26[/C][C]87.89[/C][C]87.5661[/C][C]87.6929[/C][C]-0.126852[/C][C]0.323935[/C][/ROW]
[ROW][C]27[/C][C]87.7[/C][C]87.9923[/C][C]87.7588[/C][C]0.233565[/C][C]-0.292315[/C][/ROW]
[ROW][C]28[/C][C]87.89[/C][C]88.1787[/C][C]87.8379[/C][C]0.340741[/C][C]-0.288657[/C][/ROW]
[ROW][C]29[/C][C]88.02[/C][C]88.2672[/C][C]87.9258[/C][C]0.341389[/C][C]-0.247222[/C][/ROW]
[ROW][C]30[/C][C]88.08[/C][C]88.236[/C][C]88.0104[/C][C]0.225602[/C][C]-0.156019[/C][/ROW]
[ROW][C]31[/C][C]88.08[/C][C]88.1573[/C][C]88.0946[/C][C]0.0626852[/C][C]-0.0772685[/C][/ROW]
[ROW][C]32[/C][C]88.15[/C][C]88.1564[/C][C]88.1871[/C][C]-0.0306481[/C][C]-0.00643519[/C][/ROW]
[ROW][C]33[/C][C]88.21[/C][C]88.2655[/C][C]88.3479[/C][C]-0.0824537[/C][C]-0.055463[/C][/ROW]
[ROW][C]34[/C][C]88.41[/C][C]88.4814[/C][C]88.5717[/C][C]-0.0902315[/C][C]-0.0714352[/C][/ROW]
[ROW][C]35[/C][C]88.39[/C][C]88.6633[/C][C]88.8167[/C][C]-0.153333[/C][C]-0.273333[/C][/ROW]
[ROW][C]36[/C][C]88.41[/C][C]88.7961[/C][C]89.0792[/C][C]-0.283056[/C][C]-0.386111[/C][/ROW]
[ROW][C]37[/C][C]88.41[/C][C]88.9034[/C][C]89.3408[/C][C]-0.437407[/C][C]-0.493426[/C][/ROW]
[ROW][C]38[/C][C]89.1[/C][C]89.4802[/C][C]89.6071[/C][C]-0.126852[/C][C]-0.380231[/C][/ROW]
[ROW][C]39[/C][C]90.35[/C][C]90.114[/C][C]89.8804[/C][C]0.233565[/C][C]0.236019[/C][/ROW]
[ROW][C]40[/C][C]90.61[/C][C]90.4953[/C][C]90.1546[/C][C]0.340741[/C][C]0.114676[/C][/ROW]
[ROW][C]41[/C][C]91.18[/C][C]90.7706[/C][C]90.4292[/C][C]0.341389[/C][C]0.409444[/C][/ROW]
[ROW][C]42[/C][C]91.22[/C][C]90.9331[/C][C]90.7075[/C][C]0.225602[/C][C]0.286898[/C][/ROW]
[ROW][C]43[/C][C]91.22[/C][C]91.0502[/C][C]90.9875[/C][C]0.0626852[/C][C]0.169815[/C][/ROW]
[ROW][C]44[/C][C]91.4[/C][C]91.2244[/C][C]91.255[/C][C]-0.0306481[/C][C]0.175648[/C][/ROW]
[ROW][C]45[/C][C]91.52[/C][C]91.4371[/C][C]91.5196[/C][C]-0.0824537[/C][C]0.0828704[/C][/ROW]
[ROW][C]46[/C][C]91.68[/C][C]91.6985[/C][C]91.7887[/C][C]-0.0902315[/C][C]-0.0185185[/C][/ROW]
[ROW][C]47[/C][C]91.71[/C][C]91.8833[/C][C]92.0367[/C][C]-0.153333[/C][C]-0.173333[/C][/ROW]
[ROW][C]48[/C][C]91.77[/C][C]91.9778[/C][C]92.2608[/C][C]-0.283056[/C][C]-0.207778[/C][/ROW]
[ROW][C]49[/C][C]91.77[/C][C]92.0401[/C][C]92.4775[/C][C]-0.437407[/C][C]-0.270093[/C][/ROW]
[ROW][C]50[/C][C]92.16[/C][C]92.5627[/C][C]92.6896[/C][C]-0.126852[/C][C]-0.402731[/C][/ROW]
[ROW][C]51[/C][C]93.64[/C][C]93.1323[/C][C]92.8987[/C][C]0.233565[/C][C]0.507685[/C][/ROW]
[ROW][C]52[/C][C]93.78[/C][C]93.4607[/C][C]93.12[/C][C]0.340741[/C][C]0.319259[/C][/ROW]
[ROW][C]53[/C][C]93.96[/C][C]93.6985[/C][C]93.3571[/C][C]0.341389[/C][C]0.261528[/C][/ROW]
[ROW][C]54[/C][C]93.82[/C][C]93.8269[/C][C]93.6012[/C][C]0.225602[/C][C]-0.00685185[/C][/ROW]
[ROW][C]55[/C][C]93.82[/C][C]93.9098[/C][C]93.8471[/C][C]0.0626852[/C][C]-0.0897685[/C][/ROW]
[ROW][C]56[/C][C]93.89[/C][C]94.0894[/C][C]94.12[/C][C]-0.0306481[/C][C]-0.199352[/C][/ROW]
[ROW][C]57[/C][C]94.05[/C][C]94.2917[/C][C]94.3742[/C][C]-0.0824537[/C][C]-0.241713[/C][/ROW]
[ROW][C]58[/C][C]94.46[/C][C]94.5269[/C][C]94.6171[/C][C]-0.0902315[/C][C]-0.0668519[/C][/ROW]
[ROW][C]59[/C][C]94.62[/C][C]94.7371[/C][C]94.8904[/C][C]-0.153333[/C][C]-0.117083[/C][/ROW]
[ROW][C]60[/C][C]94.72[/C][C]94.8924[/C][C]95.1754[/C][C]-0.283056[/C][C]-0.172361[/C][/ROW]
[ROW][C]61[/C][C]94.72[/C][C]95.0388[/C][C]95.4763[/C][C]-0.437407[/C][C]-0.318843[/C][/ROW]
[ROW][C]62[/C][C]95.76[/C][C]95.6527[/C][C]95.7796[/C][C]-0.126852[/C][C]0.107269[/C][/ROW]
[ROW][C]63[/C][C]96.14[/C][C]96.3165[/C][C]96.0829[/C][C]0.233565[/C][C]-0.176481[/C][/ROW]
[ROW][C]64[/C][C]97.11[/C][C]96.7112[/C][C]96.3704[/C][C]0.340741[/C][C]0.398843[/C][/ROW]
[ROW][C]65[/C][C]97.19[/C][C]96.9822[/C][C]96.6408[/C][C]0.341389[/C][C]0.207778[/C][/ROW]
[ROW][C]66[/C][C]97.43[/C][C]97.1289[/C][C]96.9033[/C][C]0.225602[/C][C]0.301065[/C][/ROW]
[ROW][C]67[/C][C]97.43[/C][C]97.2244[/C][C]97.1617[/C][C]0.0626852[/C][C]0.205648[/C][/ROW]
[ROW][C]68[/C][C]97.56[/C][C]97.3681[/C][C]97.3987[/C][C]-0.0306481[/C][C]0.191898[/C][/ROW]
[ROW][C]69[/C][C]97.66[/C][C]97.5096[/C][C]97.5921[/C][C]-0.0824537[/C][C]0.15037[/C][/ROW]
[ROW][C]70[/C][C]97.75[/C][C]97.6323[/C][C]97.7225[/C][C]-0.0902315[/C][C]0.117731[/C][/ROW]
[ROW][C]71[/C][C]97.82[/C][C]97.6567[/C][C]97.81[/C][C]-0.153333[/C][C]0.163333[/C][/ROW]
[ROW][C]72[/C][C]97.82[/C][C]97.6024[/C][C]97.8854[/C][C]-0.283056[/C][C]0.217639[/C][/ROW]
[ROW][C]73[/C][C]97.82[/C][C]97.5155[/C][C]97.9529[/C][C]-0.437407[/C][C]0.304491[/C][/ROW]
[ROW][C]74[/C][C]98.35[/C][C]97.8886[/C][C]98.0154[/C][C]-0.126852[/C][C]0.461435[/C][/ROW]
[ROW][C]75[/C][C]98.19[/C][C]98.3019[/C][C]98.0683[/C][C]0.233565[/C][C]-0.111898[/C][/ROW]
[ROW][C]76[/C][C]98.19[/C][C]98.4653[/C][C]98.1246[/C][C]0.340741[/C][C]-0.275324[/C][/ROW]
[ROW][C]77[/C][C]98.21[/C][C]98.526[/C][C]98.1846[/C][C]0.341389[/C][C]-0.315972[/C][/ROW]
[ROW][C]78[/C][C]98.22[/C][C]98.4677[/C][C]98.2421[/C][C]0.225602[/C][C]-0.247685[/C][/ROW]
[ROW][C]79[/C][C]98.26[/C][C]98.3623[/C][C]98.2996[/C][C]0.0626852[/C][C]-0.102269[/C][/ROW]
[ROW][C]80[/C][C]98.23[/C][C]98.3202[/C][C]98.3508[/C][C]-0.0306481[/C][C]-0.0901852[/C][/ROW]
[ROW][C]81[/C][C]98.26[/C][C]98.3475[/C][C]98.43[/C][C]-0.0824537[/C][C]-0.0875463[/C][/ROW]
[ROW][C]82[/C][C]98.5[/C][C]98.4677[/C][C]98.5579[/C][C]-0.0902315[/C][C]0.0323148[/C][/ROW]
[ROW][C]83[/C][C]98.51[/C][C]98.5554[/C][C]98.7088[/C][C]-0.153333[/C][C]-0.0454167[/C][/ROW]
[ROW][C]84[/C][C]98.51[/C][C]98.5832[/C][C]98.8663[/C][C]-0.283056[/C][C]-0.0731944[/C][/ROW]
[ROW][C]85[/C][C]98.51[/C][C]98.583[/C][C]99.0204[/C][C]-0.437407[/C][C]-0.0730093[/C][/ROW]
[ROW][C]86[/C][C]98.89[/C][C]99.0473[/C][C]99.1742[/C][C]-0.126852[/C][C]-0.157315[/C][/ROW]
[ROW][C]87[/C][C]99.55[/C][C]99.5769[/C][C]99.3433[/C][C]0.233565[/C][C]-0.0268981[/C][/ROW]
[ROW][C]88[/C][C]99.9[/C][C]99.8678[/C][C]99.5271[/C][C]0.340741[/C][C]0.0321759[/C][/ROW]
[ROW][C]89[/C][C]100.12[/C][C]100.056[/C][C]99.7142[/C][C]0.341389[/C][C]0.0644444[/C][/ROW]
[ROW][C]90[/C][C]100.09[/C][C]100.13[/C][C]99.9042[/C][C]0.225602[/C][C]-0.0397685[/C][/ROW]
[ROW][C]91[/C][C]100.09[/C][C]100.163[/C][C]100.1[/C][C]0.0626852[/C][C]-0.0726852[/C][/ROW]
[ROW][C]92[/C][C]100.09[/C][C]100.264[/C][C]100.295[/C][C]-0.0306481[/C][C]-0.174352[/C][/ROW]
[ROW][C]93[/C][C]100.46[/C][C]100.389[/C][C]100.472[/C][C]-0.0824537[/C][C]0.070787[/C][/ROW]
[ROW][C]94[/C][C]100.71[/C][C]100.548[/C][C]100.638[/C][C]-0.0902315[/C][C]0.162315[/C][/ROW]
[ROW][C]95[/C][C]100.79[/C][C]100.654[/C][C]100.808[/C][C]-0.153333[/C][C]0.135833[/C][/ROW]
[ROW][C]96[/C][C]100.79[/C][C]100.7[/C][C]100.983[/C][C]-0.283056[/C][C]0.0901389[/C][/ROW]
[ROW][C]97[/C][C]100.93[/C][C]100.723[/C][C]101.16[/C][C]-0.437407[/C][C]0.206991[/C][/ROW]
[ROW][C]98[/C][C]101.15[/C][C]101.214[/C][C]101.341[/C][C]-0.126852[/C][C]-0.0643981[/C][/ROW]
[ROW][C]99[/C][C]101.53[/C][C]101.75[/C][C]101.516[/C][C]0.233565[/C][C]-0.219815[/C][/ROW]
[ROW][C]100[/C][C]101.91[/C][C]102.012[/C][C]101.671[/C][C]0.340741[/C][C]-0.101574[/C][/ROW]
[ROW][C]101[/C][C]102.18[/C][C]102.17[/C][C]101.829[/C][C]0.341389[/C][C]0.00986111[/C][/ROW]
[ROW][C]102[/C][C]102.24[/C][C]102.23[/C][C]102.005[/C][C]0.225602[/C][C]0.00981481[/C][/ROW]
[ROW][C]103[/C][C]102.2[/C][C]102.242[/C][C]102.18[/C][C]0.0626852[/C][C]-0.0422685[/C][/ROW]
[ROW][C]104[/C][C]102.32[/C][C]102.315[/C][C]102.345[/C][C]-0.0306481[/C][C]0.00523148[/C][/ROW]
[ROW][C]105[/C][C]102.43[/C][C]102.422[/C][C]102.505[/C][C]-0.0824537[/C][C]0.00787037[/C][/ROW]
[ROW][C]106[/C][C]102.45[/C][C]102.569[/C][C]102.659[/C][C]-0.0902315[/C][C]-0.118519[/C][/ROW]
[ROW][C]107[/C][C]102.84[/C][C]102.656[/C][C]102.81[/C][C]-0.153333[/C][C]0.18375[/C][/ROW]
[ROW][C]108[/C][C]102.96[/C][C]102.687[/C][C]102.97[/C][C]-0.283056[/C][C]0.273472[/C][/ROW]
[ROW][C]109[/C][C]102.96[/C][C]102.706[/C][C]103.144[/C][C]-0.437407[/C][C]0.253657[/C][/ROW]
[ROW][C]110[/C][C]103.1[/C][C]103.195[/C][C]103.322[/C][C]-0.126852[/C][C]-0.0948148[/C][/ROW]
[ROW][C]111[/C][C]103.4[/C][C]103.747[/C][C]103.514[/C][C]0.233565[/C][C]-0.347315[/C][/ROW]
[ROW][C]112[/C][C]103.74[/C][C]104.077[/C][C]103.736[/C][C]0.340741[/C][C]-0.336574[/C][/ROW]
[ROW][C]113[/C][C]103.97[/C][C]104.313[/C][C]103.971[/C][C]0.341389[/C][C]-0.342639[/C][/ROW]
[ROW][C]114[/C][C]104.29[/C][C]104.426[/C][C]104.201[/C][C]0.225602[/C][C]-0.136435[/C][/ROW]
[ROW][C]115[/C][C]104.33[/C][C]NA[/C][C]NA[/C][C]0.0626852[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]104.46[/C][C]NA[/C][C]NA[/C][C]-0.0306481[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]104.9[/C][C]NA[/C][C]NA[/C][C]-0.0824537[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]105.31[/C][C]NA[/C][C]NA[/C][C]-0.0902315[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]105.63[/C][C]NA[/C][C]NA[/C][C]-0.153333[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]105.68[/C][C]NA[/C][C]NA[/C][C]-0.283056[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294666&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294666&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	84.97	NA	NA	-0.437407	NA
2	85.57	NA	NA	-0.126852	NA
3	85.74	NA	NA	0.233565	NA
4	85.88	NA	NA	0.340741	NA
5	85.88	NA	NA	0.341389	NA
6	85.96	NA	NA	0.225602	NA
7	85.96	86.0131	85.9504	0.0626852	-0.0531019
8	85.99	86.026	86.0567	-0.0306481	-0.0360185
9	86.02	86.0963	86.1787	-0.0824537	-0.0762963
10	86.14	86.2235	86.3137	-0.0902315	-0.0835185
11	86.3	86.2825	86.4358	-0.153333	0.0175
12	86.32	86.2682	86.5512	-0.283056	0.0518056
13	86.32	86.2263	86.6637	-0.437407	0.0936574
14	86.77	86.6511	86.7779	-0.126852	0.118935
15	87.47	87.1269	86.8933	0.233565	0.343102
16	87.39	87.3407	87	0.340741	0.0492593
17	87.3	87.4351	87.0937	0.341389	-0.135139
18	87.31	87.4089	87.1833	0.225602	-0.0989352
19	87.31	87.336	87.2733	0.0626852	-0.0260185
20	87.38	87.3344	87.365	-0.0306481	0.0456481
21	87.4	87.3388	87.4212	-0.0824537	0.0612037
22	87.32	87.3614	87.4517	-0.0902315	-0.0414352
23	87.37	87.3492	87.5025	-0.153333	0.0208333
24	87.4	87.2815	87.5646	-0.283056	0.118472
25	87.4	87.1913	87.6288	-0.437407	0.208657
26	87.89	87.5661	87.6929	-0.126852	0.323935
27	87.7	87.9923	87.7588	0.233565	-0.292315
28	87.89	88.1787	87.8379	0.340741	-0.288657
29	88.02	88.2672	87.9258	0.341389	-0.247222
30	88.08	88.236	88.0104	0.225602	-0.156019
31	88.08	88.1573	88.0946	0.0626852	-0.0772685
32	88.15	88.1564	88.1871	-0.0306481	-0.00643519
33	88.21	88.2655	88.3479	-0.0824537	-0.055463
34	88.41	88.4814	88.5717	-0.0902315	-0.0714352
35	88.39	88.6633	88.8167	-0.153333	-0.273333
36	88.41	88.7961	89.0792	-0.283056	-0.386111
37	88.41	88.9034	89.3408	-0.437407	-0.493426
38	89.1	89.4802	89.6071	-0.126852	-0.380231
39	90.35	90.114	89.8804	0.233565	0.236019
40	90.61	90.4953	90.1546	0.340741	0.114676
41	91.18	90.7706	90.4292	0.341389	0.409444
42	91.22	90.9331	90.7075	0.225602	0.286898
43	91.22	91.0502	90.9875	0.0626852	0.169815
44	91.4	91.2244	91.255	-0.0306481	0.175648
45	91.52	91.4371	91.5196	-0.0824537	0.0828704
46	91.68	91.6985	91.7887	-0.0902315	-0.0185185
47	91.71	91.8833	92.0367	-0.153333	-0.173333
48	91.77	91.9778	92.2608	-0.283056	-0.207778
49	91.77	92.0401	92.4775	-0.437407	-0.270093
50	92.16	92.5627	92.6896	-0.126852	-0.402731
51	93.64	93.1323	92.8987	0.233565	0.507685
52	93.78	93.4607	93.12	0.340741	0.319259
53	93.96	93.6985	93.3571	0.341389	0.261528
54	93.82	93.8269	93.6012	0.225602	-0.00685185
55	93.82	93.9098	93.8471	0.0626852	-0.0897685
56	93.89	94.0894	94.12	-0.0306481	-0.199352
57	94.05	94.2917	94.3742	-0.0824537	-0.241713
58	94.46	94.5269	94.6171	-0.0902315	-0.0668519
59	94.62	94.7371	94.8904	-0.153333	-0.117083
60	94.72	94.8924	95.1754	-0.283056	-0.172361
61	94.72	95.0388	95.4763	-0.437407	-0.318843
62	95.76	95.6527	95.7796	-0.126852	0.107269
63	96.14	96.3165	96.0829	0.233565	-0.176481
64	97.11	96.7112	96.3704	0.340741	0.398843
65	97.19	96.9822	96.6408	0.341389	0.207778
66	97.43	97.1289	96.9033	0.225602	0.301065
67	97.43	97.2244	97.1617	0.0626852	0.205648
68	97.56	97.3681	97.3987	-0.0306481	0.191898
69	97.66	97.5096	97.5921	-0.0824537	0.15037
70	97.75	97.6323	97.7225	-0.0902315	0.117731
71	97.82	97.6567	97.81	-0.153333	0.163333
72	97.82	97.6024	97.8854	-0.283056	0.217639
73	97.82	97.5155	97.9529	-0.437407	0.304491
74	98.35	97.8886	98.0154	-0.126852	0.461435
75	98.19	98.3019	98.0683	0.233565	-0.111898
76	98.19	98.4653	98.1246	0.340741	-0.275324
77	98.21	98.526	98.1846	0.341389	-0.315972
78	98.22	98.4677	98.2421	0.225602	-0.247685
79	98.26	98.3623	98.2996	0.0626852	-0.102269
80	98.23	98.3202	98.3508	-0.0306481	-0.0901852
81	98.26	98.3475	98.43	-0.0824537	-0.0875463
82	98.5	98.4677	98.5579	-0.0902315	0.0323148
83	98.51	98.5554	98.7088	-0.153333	-0.0454167
84	98.51	98.5832	98.8663	-0.283056	-0.0731944
85	98.51	98.583	99.0204	-0.437407	-0.0730093
86	98.89	99.0473	99.1742	-0.126852	-0.157315
87	99.55	99.5769	99.3433	0.233565	-0.0268981
88	99.9	99.8678	99.5271	0.340741	0.0321759
89	100.12	100.056	99.7142	0.341389	0.0644444
90	100.09	100.13	99.9042	0.225602	-0.0397685
91	100.09	100.163	100.1	0.0626852	-0.0726852
92	100.09	100.264	100.295	-0.0306481	-0.174352
93	100.46	100.389	100.472	-0.0824537	0.070787
94	100.71	100.548	100.638	-0.0902315	0.162315
95	100.79	100.654	100.808	-0.153333	0.135833
96	100.79	100.7	100.983	-0.283056	0.0901389
97	100.93	100.723	101.16	-0.437407	0.206991
98	101.15	101.214	101.341	-0.126852	-0.0643981
99	101.53	101.75	101.516	0.233565	-0.219815
100	101.91	102.012	101.671	0.340741	-0.101574
101	102.18	102.17	101.829	0.341389	0.00986111
102	102.24	102.23	102.005	0.225602	0.00981481
103	102.2	102.242	102.18	0.0626852	-0.0422685
104	102.32	102.315	102.345	-0.0306481	0.00523148
105	102.43	102.422	102.505	-0.0824537	0.00787037
106	102.45	102.569	102.659	-0.0902315	-0.118519
107	102.84	102.656	102.81	-0.153333	0.18375
108	102.96	102.687	102.97	-0.283056	0.273472
109	102.96	102.706	103.144	-0.437407	0.253657
110	103.1	103.195	103.322	-0.126852	-0.0948148
111	103.4	103.747	103.514	0.233565	-0.347315
112	103.74	104.077	103.736	0.340741	-0.336574
113	103.97	104.313	103.971	0.341389	-0.342639
114	104.29	104.426	104.201	0.225602	-0.136435
115	104.33	NA	NA	0.0626852	NA
116	104.46	NA	NA	-0.0306481	NA
117	104.9	NA	NA	-0.0824537	NA
118	105.31	NA	NA	-0.0902315	NA
119	105.63	NA	NA	-0.153333	NA
120	105.68	NA	NA	-0.283056	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