Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sun, 27 Nov 2016 13:35:12 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Nov/27/t148025396420kla2iristij65.htm/, Retrieved Mon, 29 Apr 2024 21:06:11 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Mon, 29 Apr 2024 21:06:11 +0200

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Dataseries X:

Download CSV

Histogram

Boxplots

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	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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

As an alternative you can also use a QR Code:

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	2 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	75.99	NA	NA	0.168573	NA
2	76.31	NA	NA	0.252647	NA
3	76.51	NA	NA	0.248804	NA
4	76.75	NA	NA	0.178526	NA
5	77.23	NA	NA	0.00408179	NA
6	77.22	NA	NA	-0.158835	NA
7	77.25	77.0252	77.3554	-0.330224	0.224807
8	77.36	77.2375	77.6267	-0.389159	0.122492
9	77.57	77.6197	77.9217	-0.301937	-0.0497299
10	77.88	78.3089	78.2113	0.0976003	-0.42885
11	78.29	78.6279	78.4808	0.147091	-0.337924
12	78.42	78.822	78.7392	0.0828318	-0.401998
13	78.96	79.1732	79.0046	0.168573	-0.213156
14	79.85	79.5414	79.2888	0.252647	0.308603
15	80.05	79.8842	79.6354	0.248804	0.165779
16	80.16	80.2998	80.1213	0.178526	-0.139776
17	80.29	80.7103	80.7062	0.00408179	-0.420332
18	80.36	81.1649	81.3237	-0.158835	-0.804915
19	80.48	81.6506	81.9808	-0.330224	-1.17061
20	80.95	82.2413	82.6304	-0.389159	-1.29126
21	82.3	82.9526	83.2546	-0.301937	-0.652647
22	84.81	83.9855	83.8879	0.0976003	0.824483
23	85.4	84.6817	84.5346	0.147091	0.718326
24	86.13	85.2632	85.1804	0.0828318	0.866752
25	87.02	85.9911	85.8225	0.168573	1.02893
26	87.38	86.7026	86.45	0.252647	0.677353
27	87.5	87.2655	87.0167	0.248804	0.234529
28	87.91	87.6273	87.4487	0.178526	0.282724
29	88.06	87.7866	87.7825	0.00408179	0.273418
30	88.09	87.9182	88.0771	-0.158835	0.171752
31	88.16	87.9669	88.2971	-0.330224	0.19314
32	88.33	88.0721	88.4613	-0.389159	0.257909
33	88.52	88.3126	88.6146	-0.301937	0.207353
34	88.96	88.8447	88.7471	0.0976003	0.115316
35	89.26	89.0038	88.8567	0.147091	0.256242
36	89.34	89.0495	88.9667	0.0828318	0.290502
37	89.09	89.2523	89.0838	0.168573	-0.162323
38	89.25	89.4497	89.1971	0.252647	-0.19973
39	89.31	89.5492	89.3004	0.248804	-0.239221
40	89.28	89.5677	89.3892	0.178526	-0.287693
41	89.32	89.4649	89.4608	0.00408179	-0.144915
42	89.47	89.3641	89.5229	-0.158835	0.105918
43	89.59	89.2677	89.5979	-0.330224	0.322307
44	89.62	89.3063	89.6954	-0.389159	0.313742
45	89.71	89.5006	89.8025	-0.301937	0.209437
46	89.9	90.0164	89.9187	0.0976003	-0.11635
47	90.04	90.1871	90.04	0.147091	-0.147091
48	90.05	90.2328	90.15	0.0828318	-0.182832
49	90.18	90.4065	90.2379	0.168573	-0.226489
50	90.5	90.5776	90.325	0.252647	-0.0776466
51	90.63	90.6859	90.4371	0.248804	-0.0558873
52	90.75	90.7739	90.5954	0.178526	-0.0239429
53	90.76	90.7978	90.7937	0.00408179	-0.0378318
54	90.67	90.847	91.0058	-0.158835	-0.176998
55	90.5	90.9335	91.2637	-0.330224	-0.433526
56	90.8	91.1733	91.5625	-0.389159	-0.373341
57	91.22	91.591	91.8929	-0.301937	-0.37098
58	92.19	92.3568	92.2592	0.0976003	-0.166767
59	92.51	92.7825	92.6354	0.147091	-0.272508
60	92.67	93.107	93.0242	0.0828318	-0.436998
61	93.75	93.5969	93.4283	0.168573	0.153094
62	94.1	94.0885	93.8358	0.252647	0.0115201
63	94.96	94.4771	94.2283	0.248804	0.482863
64	95.21	94.751	94.5725	0.178526	0.458974
65	95.33	94.8745	94.8704	0.00408179	0.455502
66	95.43	94.9978	95.1567	-0.158835	0.432168
67	95.44	95.0714	95.4017	-0.330224	0.368557
68	95.64	95.2083	95.5975	-0.389159	0.431659
69	95.8	95.4543	95.7562	-0.301937	0.345687
70	95.87	95.9834	95.8858	0.0976003	-0.113434
71	95.98	96.1496	96.0025	0.147091	-0.169591
72	96.07	96.1891	96.1062	0.0828318	-0.119082
73	96.23	96.3844	96.2158	0.168573	-0.154406
74	96.32	96.5851	96.3325	0.252647	-0.265147
75	96.55	96.698	96.4492	0.248804	-0.147971
76	96.73	96.7798	96.6013	0.178526	-0.0497762
77	96.61	96.8016	96.7975	0.00408179	-0.191582
78	96.64	96.8474	97.0062	-0.158835	-0.207415
79	96.86	96.8877	97.2179	-0.330224	-0.0276929
80	97.02	97.0521	97.4412	-0.389159	-0.032091
81	97.22	97.3785	97.6804	-0.301937	-0.15848
82	98.1	98.0205	97.9229	0.0976003	0.079483
83	98.46	98.3183	98.1712	0.147091	0.141659
84	98.6	98.5199	98.4371	0.0828318	0.0800849
85	98.78	98.8794	98.7108	0.168573	-0.0994059
86	99.13	99.2339	98.9812	0.252647	-0.103897
87	99.48	99.5001	99.2512	0.248804	-0.020054
88	99.62	99.6735	99.495	0.178526	-0.0535262
89	99.68	99.7082	99.7042	0.00408179	-0.0282485
90	99.95	99.7441	99.9029	-0.158835	0.205918
91	100.12	99.7598	100.09	-0.330224	0.360224
92	100.25	99.8729	100.262	-0.389159	0.377076
93	100.47	100.114	100.416	-0.301937	0.355687
94	100.7	100.654	100.557	0.0976003	0.045733
95	100.88	100.84	100.693	0.147091	0.040409
96	100.95	100.898	100.815	0.0828318	0.0517515
97	100.92	101.089	100.921	0.168573	-0.169406
98	101.12	101.269	101.016	0.252647	-0.148897
99	101.19	101.352	101.103	0.248804	-0.162137
100	101.28	101.359	101.181	0.178526	-0.0793596
101	101.28	101.257	101.253	0.00408179	0.0230015
102	101.3	101.167	101.325	-0.158835	0.133418
103	101.3	101.078	101.408	-0.330224	0.222307
104	101.36	101.107	101.496	-0.389159	0.253326
105	101.45	101.277	101.579	-0.301937	0.173187
106	101.58	101.76	101.662	0.0976003	-0.1801
107	101.73	101.9	101.753	0.147091	-0.170008
108	101.84	101.929	101.846	0.0828318	-0.0886651
109	102.01	102.107	101.939	0.168573	-0.0973225
110	102.14	102.283	102.03	0.252647	-0.142647
111	102.16	102.358	102.11	0.248804	-0.198387
112	102.32	102.368	102.19	0.178526	-0.0481096
113	102.41	102.279	102.275	0.00408179	0.130502
114	102.4	102.2	102.359	-0.158835	0.199668
115	102.43	NA	NA	-0.330224	NA
116	102.42	NA	NA	-0.389159	NA
117	102.3	NA	NA	-0.301937	NA
118	102.65	NA	NA	0.0976003	NA
119	102.72	NA	NA	0.147091	NA
120	102.86	NA	NA	0.0828318	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 75.99 & NA & NA & 0.168573 & NA \tabularnewline
2 & 76.31 & NA & NA & 0.252647 & NA \tabularnewline
3 & 76.51 & NA & NA & 0.248804 & NA \tabularnewline
4 & 76.75 & NA & NA & 0.178526 & NA \tabularnewline
5 & 77.23 & NA & NA & 0.00408179 & NA \tabularnewline
6 & 77.22 & NA & NA & -0.158835 & NA \tabularnewline
7 & 77.25 & 77.0252 & 77.3554 & -0.330224 & 0.224807 \tabularnewline
8 & 77.36 & 77.2375 & 77.6267 & -0.389159 & 0.122492 \tabularnewline
9 & 77.57 & 77.6197 & 77.9217 & -0.301937 & -0.0497299 \tabularnewline
10 & 77.88 & 78.3089 & 78.2113 & 0.0976003 & -0.42885 \tabularnewline
11 & 78.29 & 78.6279 & 78.4808 & 0.147091 & -0.337924 \tabularnewline
12 & 78.42 & 78.822 & 78.7392 & 0.0828318 & -0.401998 \tabularnewline
13 & 78.96 & 79.1732 & 79.0046 & 0.168573 & -0.213156 \tabularnewline
14 & 79.85 & 79.5414 & 79.2888 & 0.252647 & 0.308603 \tabularnewline
15 & 80.05 & 79.8842 & 79.6354 & 0.248804 & 0.165779 \tabularnewline
16 & 80.16 & 80.2998 & 80.1213 & 0.178526 & -0.139776 \tabularnewline
17 & 80.29 & 80.7103 & 80.7062 & 0.00408179 & -0.420332 \tabularnewline
18 & 80.36 & 81.1649 & 81.3237 & -0.158835 & -0.804915 \tabularnewline
19 & 80.48 & 81.6506 & 81.9808 & -0.330224 & -1.17061 \tabularnewline
20 & 80.95 & 82.2413 & 82.6304 & -0.389159 & -1.29126 \tabularnewline
21 & 82.3 & 82.9526 & 83.2546 & -0.301937 & -0.652647 \tabularnewline
22 & 84.81 & 83.9855 & 83.8879 & 0.0976003 & 0.824483 \tabularnewline
23 & 85.4 & 84.6817 & 84.5346 & 0.147091 & 0.718326 \tabularnewline
24 & 86.13 & 85.2632 & 85.1804 & 0.0828318 & 0.866752 \tabularnewline
25 & 87.02 & 85.9911 & 85.8225 & 0.168573 & 1.02893 \tabularnewline
26 & 87.38 & 86.7026 & 86.45 & 0.252647 & 0.677353 \tabularnewline
27 & 87.5 & 87.2655 & 87.0167 & 0.248804 & 0.234529 \tabularnewline
28 & 87.91 & 87.6273 & 87.4487 & 0.178526 & 0.282724 \tabularnewline
29 & 88.06 & 87.7866 & 87.7825 & 0.00408179 & 0.273418 \tabularnewline
30 & 88.09 & 87.9182 & 88.0771 & -0.158835 & 0.171752 \tabularnewline
31 & 88.16 & 87.9669 & 88.2971 & -0.330224 & 0.19314 \tabularnewline
32 & 88.33 & 88.0721 & 88.4613 & -0.389159 & 0.257909 \tabularnewline
33 & 88.52 & 88.3126 & 88.6146 & -0.301937 & 0.207353 \tabularnewline
34 & 88.96 & 88.8447 & 88.7471 & 0.0976003 & 0.115316 \tabularnewline
35 & 89.26 & 89.0038 & 88.8567 & 0.147091 & 0.256242 \tabularnewline
36 & 89.34 & 89.0495 & 88.9667 & 0.0828318 & 0.290502 \tabularnewline
37 & 89.09 & 89.2523 & 89.0838 & 0.168573 & -0.162323 \tabularnewline
38 & 89.25 & 89.4497 & 89.1971 & 0.252647 & -0.19973 \tabularnewline
39 & 89.31 & 89.5492 & 89.3004 & 0.248804 & -0.239221 \tabularnewline
40 & 89.28 & 89.5677 & 89.3892 & 0.178526 & -0.287693 \tabularnewline
41 & 89.32 & 89.4649 & 89.4608 & 0.00408179 & -0.144915 \tabularnewline
42 & 89.47 & 89.3641 & 89.5229 & -0.158835 & 0.105918 \tabularnewline
43 & 89.59 & 89.2677 & 89.5979 & -0.330224 & 0.322307 \tabularnewline
44 & 89.62 & 89.3063 & 89.6954 & -0.389159 & 0.313742 \tabularnewline
45 & 89.71 & 89.5006 & 89.8025 & -0.301937 & 0.209437 \tabularnewline
46 & 89.9 & 90.0164 & 89.9187 & 0.0976003 & -0.11635 \tabularnewline
47 & 90.04 & 90.1871 & 90.04 & 0.147091 & -0.147091 \tabularnewline
48 & 90.05 & 90.2328 & 90.15 & 0.0828318 & -0.182832 \tabularnewline
49 & 90.18 & 90.4065 & 90.2379 & 0.168573 & -0.226489 \tabularnewline
50 & 90.5 & 90.5776 & 90.325 & 0.252647 & -0.0776466 \tabularnewline
51 & 90.63 & 90.6859 & 90.4371 & 0.248804 & -0.0558873 \tabularnewline
52 & 90.75 & 90.7739 & 90.5954 & 0.178526 & -0.0239429 \tabularnewline
53 & 90.76 & 90.7978 & 90.7937 & 0.00408179 & -0.0378318 \tabularnewline
54 & 90.67 & 90.847 & 91.0058 & -0.158835 & -0.176998 \tabularnewline
55 & 90.5 & 90.9335 & 91.2637 & -0.330224 & -0.433526 \tabularnewline
56 & 90.8 & 91.1733 & 91.5625 & -0.389159 & -0.373341 \tabularnewline
57 & 91.22 & 91.591 & 91.8929 & -0.301937 & -0.37098 \tabularnewline
58 & 92.19 & 92.3568 & 92.2592 & 0.0976003 & -0.166767 \tabularnewline
59 & 92.51 & 92.7825 & 92.6354 & 0.147091 & -0.272508 \tabularnewline
60 & 92.67 & 93.107 & 93.0242 & 0.0828318 & -0.436998 \tabularnewline
61 & 93.75 & 93.5969 & 93.4283 & 0.168573 & 0.153094 \tabularnewline
62 & 94.1 & 94.0885 & 93.8358 & 0.252647 & 0.0115201 \tabularnewline
63 & 94.96 & 94.4771 & 94.2283 & 0.248804 & 0.482863 \tabularnewline
64 & 95.21 & 94.751 & 94.5725 & 0.178526 & 0.458974 \tabularnewline
65 & 95.33 & 94.8745 & 94.8704 & 0.00408179 & 0.455502 \tabularnewline
66 & 95.43 & 94.9978 & 95.1567 & -0.158835 & 0.432168 \tabularnewline
67 & 95.44 & 95.0714 & 95.4017 & -0.330224 & 0.368557 \tabularnewline
68 & 95.64 & 95.2083 & 95.5975 & -0.389159 & 0.431659 \tabularnewline
69 & 95.8 & 95.4543 & 95.7562 & -0.301937 & 0.345687 \tabularnewline
70 & 95.87 & 95.9834 & 95.8858 & 0.0976003 & -0.113434 \tabularnewline
71 & 95.98 & 96.1496 & 96.0025 & 0.147091 & -0.169591 \tabularnewline
72 & 96.07 & 96.1891 & 96.1062 & 0.0828318 & -0.119082 \tabularnewline
73 & 96.23 & 96.3844 & 96.2158 & 0.168573 & -0.154406 \tabularnewline
74 & 96.32 & 96.5851 & 96.3325 & 0.252647 & -0.265147 \tabularnewline
75 & 96.55 & 96.698 & 96.4492 & 0.248804 & -0.147971 \tabularnewline
76 & 96.73 & 96.7798 & 96.6013 & 0.178526 & -0.0497762 \tabularnewline
77 & 96.61 & 96.8016 & 96.7975 & 0.00408179 & -0.191582 \tabularnewline
78 & 96.64 & 96.8474 & 97.0062 & -0.158835 & -0.207415 \tabularnewline
79 & 96.86 & 96.8877 & 97.2179 & -0.330224 & -0.0276929 \tabularnewline
80 & 97.02 & 97.0521 & 97.4412 & -0.389159 & -0.032091 \tabularnewline
81 & 97.22 & 97.3785 & 97.6804 & -0.301937 & -0.15848 \tabularnewline
82 & 98.1 & 98.0205 & 97.9229 & 0.0976003 & 0.079483 \tabularnewline
83 & 98.46 & 98.3183 & 98.1712 & 0.147091 & 0.141659 \tabularnewline
84 & 98.6 & 98.5199 & 98.4371 & 0.0828318 & 0.0800849 \tabularnewline
85 & 98.78 & 98.8794 & 98.7108 & 0.168573 & -0.0994059 \tabularnewline
86 & 99.13 & 99.2339 & 98.9812 & 0.252647 & -0.103897 \tabularnewline
87 & 99.48 & 99.5001 & 99.2512 & 0.248804 & -0.020054 \tabularnewline
88 & 99.62 & 99.6735 & 99.495 & 0.178526 & -0.0535262 \tabularnewline
89 & 99.68 & 99.7082 & 99.7042 & 0.00408179 & -0.0282485 \tabularnewline
90 & 99.95 & 99.7441 & 99.9029 & -0.158835 & 0.205918 \tabularnewline
91 & 100.12 & 99.7598 & 100.09 & -0.330224 & 0.360224 \tabularnewline
92 & 100.25 & 99.8729 & 100.262 & -0.389159 & 0.377076 \tabularnewline
93 & 100.47 & 100.114 & 100.416 & -0.301937 & 0.355687 \tabularnewline
94 & 100.7 & 100.654 & 100.557 & 0.0976003 & 0.045733 \tabularnewline
95 & 100.88 & 100.84 & 100.693 & 0.147091 & 0.040409 \tabularnewline
96 & 100.95 & 100.898 & 100.815 & 0.0828318 & 0.0517515 \tabularnewline
97 & 100.92 & 101.089 & 100.921 & 0.168573 & -0.169406 \tabularnewline
98 & 101.12 & 101.269 & 101.016 & 0.252647 & -0.148897 \tabularnewline
99 & 101.19 & 101.352 & 101.103 & 0.248804 & -0.162137 \tabularnewline
100 & 101.28 & 101.359 & 101.181 & 0.178526 & -0.0793596 \tabularnewline
101 & 101.28 & 101.257 & 101.253 & 0.00408179 & 0.0230015 \tabularnewline
102 & 101.3 & 101.167 & 101.325 & -0.158835 & 0.133418 \tabularnewline
103 & 101.3 & 101.078 & 101.408 & -0.330224 & 0.222307 \tabularnewline
104 & 101.36 & 101.107 & 101.496 & -0.389159 & 0.253326 \tabularnewline
105 & 101.45 & 101.277 & 101.579 & -0.301937 & 0.173187 \tabularnewline
106 & 101.58 & 101.76 & 101.662 & 0.0976003 & -0.1801 \tabularnewline
107 & 101.73 & 101.9 & 101.753 & 0.147091 & -0.170008 \tabularnewline
108 & 101.84 & 101.929 & 101.846 & 0.0828318 & -0.0886651 \tabularnewline
109 & 102.01 & 102.107 & 101.939 & 0.168573 & -0.0973225 \tabularnewline
110 & 102.14 & 102.283 & 102.03 & 0.252647 & -0.142647 \tabularnewline
111 & 102.16 & 102.358 & 102.11 & 0.248804 & -0.198387 \tabularnewline
112 & 102.32 & 102.368 & 102.19 & 0.178526 & -0.0481096 \tabularnewline
113 & 102.41 & 102.279 & 102.275 & 0.00408179 & 0.130502 \tabularnewline
114 & 102.4 & 102.2 & 102.359 & -0.158835 & 0.199668 \tabularnewline
115 & 102.43 & NA & NA & -0.330224 & NA \tabularnewline
116 & 102.42 & NA & NA & -0.389159 & NA \tabularnewline
117 & 102.3 & NA & NA & -0.301937 & NA \tabularnewline
118 & 102.65 & NA & NA & 0.0976003 & NA \tabularnewline
119 & 102.72 & NA & NA & 0.147091 & NA \tabularnewline
120 & 102.86 & NA & NA & 0.0828318 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Classical Decomposition by Moving Averages[/C][/ROW]
[ROW][C]t[/C][C]Observations[/C][C]Fit[/C][C]Trend[/C][C]Seasonal[/C][C]Random[/C][/ROW]
[ROW][C]1[/C][C]75.99[/C][C]NA[/C][C]NA[/C][C]0.168573[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]76.31[/C][C]NA[/C][C]NA[/C][C]0.252647[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]76.51[/C][C]NA[/C][C]NA[/C][C]0.248804[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]76.75[/C][C]NA[/C][C]NA[/C][C]0.178526[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]77.23[/C][C]NA[/C][C]NA[/C][C]0.00408179[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]77.22[/C][C]NA[/C][C]NA[/C][C]-0.158835[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]77.25[/C][C]77.0252[/C][C]77.3554[/C][C]-0.330224[/C][C]0.224807[/C][/ROW]
[ROW][C]8[/C][C]77.36[/C][C]77.2375[/C][C]77.6267[/C][C]-0.389159[/C][C]0.122492[/C][/ROW]
[ROW][C]9[/C][C]77.57[/C][C]77.6197[/C][C]77.9217[/C][C]-0.301937[/C][C]-0.0497299[/C][/ROW]
[ROW][C]10[/C][C]77.88[/C][C]78.3089[/C][C]78.2113[/C][C]0.0976003[/C][C]-0.42885[/C][/ROW]
[ROW][C]11[/C][C]78.29[/C][C]78.6279[/C][C]78.4808[/C][C]0.147091[/C][C]-0.337924[/C][/ROW]
[ROW][C]12[/C][C]78.42[/C][C]78.822[/C][C]78.7392[/C][C]0.0828318[/C][C]-0.401998[/C][/ROW]
[ROW][C]13[/C][C]78.96[/C][C]79.1732[/C][C]79.0046[/C][C]0.168573[/C][C]-0.213156[/C][/ROW]
[ROW][C]14[/C][C]79.85[/C][C]79.5414[/C][C]79.2888[/C][C]0.252647[/C][C]0.308603[/C][/ROW]
[ROW][C]15[/C][C]80.05[/C][C]79.8842[/C][C]79.6354[/C][C]0.248804[/C][C]0.165779[/C][/ROW]
[ROW][C]16[/C][C]80.16[/C][C]80.2998[/C][C]80.1213[/C][C]0.178526[/C][C]-0.139776[/C][/ROW]
[ROW][C]17[/C][C]80.29[/C][C]80.7103[/C][C]80.7062[/C][C]0.00408179[/C][C]-0.420332[/C][/ROW]
[ROW][C]18[/C][C]80.36[/C][C]81.1649[/C][C]81.3237[/C][C]-0.158835[/C][C]-0.804915[/C][/ROW]
[ROW][C]19[/C][C]80.48[/C][C]81.6506[/C][C]81.9808[/C][C]-0.330224[/C][C]-1.17061[/C][/ROW]
[ROW][C]20[/C][C]80.95[/C][C]82.2413[/C][C]82.6304[/C][C]-0.389159[/C][C]-1.29126[/C][/ROW]
[ROW][C]21[/C][C]82.3[/C][C]82.9526[/C][C]83.2546[/C][C]-0.301937[/C][C]-0.652647[/C][/ROW]
[ROW][C]22[/C][C]84.81[/C][C]83.9855[/C][C]83.8879[/C][C]0.0976003[/C][C]0.824483[/C][/ROW]
[ROW][C]23[/C][C]85.4[/C][C]84.6817[/C][C]84.5346[/C][C]0.147091[/C][C]0.718326[/C][/ROW]
[ROW][C]24[/C][C]86.13[/C][C]85.2632[/C][C]85.1804[/C][C]0.0828318[/C][C]0.866752[/C][/ROW]
[ROW][C]25[/C][C]87.02[/C][C]85.9911[/C][C]85.8225[/C][C]0.168573[/C][C]1.02893[/C][/ROW]
[ROW][C]26[/C][C]87.38[/C][C]86.7026[/C][C]86.45[/C][C]0.252647[/C][C]0.677353[/C][/ROW]
[ROW][C]27[/C][C]87.5[/C][C]87.2655[/C][C]87.0167[/C][C]0.248804[/C][C]0.234529[/C][/ROW]
[ROW][C]28[/C][C]87.91[/C][C]87.6273[/C][C]87.4487[/C][C]0.178526[/C][C]0.282724[/C][/ROW]
[ROW][C]29[/C][C]88.06[/C][C]87.7866[/C][C]87.7825[/C][C]0.00408179[/C][C]0.273418[/C][/ROW]
[ROW][C]30[/C][C]88.09[/C][C]87.9182[/C][C]88.0771[/C][C]-0.158835[/C][C]0.171752[/C][/ROW]
[ROW][C]31[/C][C]88.16[/C][C]87.9669[/C][C]88.2971[/C][C]-0.330224[/C][C]0.19314[/C][/ROW]
[ROW][C]32[/C][C]88.33[/C][C]88.0721[/C][C]88.4613[/C][C]-0.389159[/C][C]0.257909[/C][/ROW]
[ROW][C]33[/C][C]88.52[/C][C]88.3126[/C][C]88.6146[/C][C]-0.301937[/C][C]0.207353[/C][/ROW]
[ROW][C]34[/C][C]88.96[/C][C]88.8447[/C][C]88.7471[/C][C]0.0976003[/C][C]0.115316[/C][/ROW]
[ROW][C]35[/C][C]89.26[/C][C]89.0038[/C][C]88.8567[/C][C]0.147091[/C][C]0.256242[/C][/ROW]
[ROW][C]36[/C][C]89.34[/C][C]89.0495[/C][C]88.9667[/C][C]0.0828318[/C][C]0.290502[/C][/ROW]
[ROW][C]37[/C][C]89.09[/C][C]89.2523[/C][C]89.0838[/C][C]0.168573[/C][C]-0.162323[/C][/ROW]
[ROW][C]38[/C][C]89.25[/C][C]89.4497[/C][C]89.1971[/C][C]0.252647[/C][C]-0.19973[/C][/ROW]
[ROW][C]39[/C][C]89.31[/C][C]89.5492[/C][C]89.3004[/C][C]0.248804[/C][C]-0.239221[/C][/ROW]
[ROW][C]40[/C][C]89.28[/C][C]89.5677[/C][C]89.3892[/C][C]0.178526[/C][C]-0.287693[/C][/ROW]
[ROW][C]41[/C][C]89.32[/C][C]89.4649[/C][C]89.4608[/C][C]0.00408179[/C][C]-0.144915[/C][/ROW]
[ROW][C]42[/C][C]89.47[/C][C]89.3641[/C][C]89.5229[/C][C]-0.158835[/C][C]0.105918[/C][/ROW]
[ROW][C]43[/C][C]89.59[/C][C]89.2677[/C][C]89.5979[/C][C]-0.330224[/C][C]0.322307[/C][/ROW]
[ROW][C]44[/C][C]89.62[/C][C]89.3063[/C][C]89.6954[/C][C]-0.389159[/C][C]0.313742[/C][/ROW]
[ROW][C]45[/C][C]89.71[/C][C]89.5006[/C][C]89.8025[/C][C]-0.301937[/C][C]0.209437[/C][/ROW]
[ROW][C]46[/C][C]89.9[/C][C]90.0164[/C][C]89.9187[/C][C]0.0976003[/C][C]-0.11635[/C][/ROW]
[ROW][C]47[/C][C]90.04[/C][C]90.1871[/C][C]90.04[/C][C]0.147091[/C][C]-0.147091[/C][/ROW]
[ROW][C]48[/C][C]90.05[/C][C]90.2328[/C][C]90.15[/C][C]0.0828318[/C][C]-0.182832[/C][/ROW]
[ROW][C]49[/C][C]90.18[/C][C]90.4065[/C][C]90.2379[/C][C]0.168573[/C][C]-0.226489[/C][/ROW]
[ROW][C]50[/C][C]90.5[/C][C]90.5776[/C][C]90.325[/C][C]0.252647[/C][C]-0.0776466[/C][/ROW]
[ROW][C]51[/C][C]90.63[/C][C]90.6859[/C][C]90.4371[/C][C]0.248804[/C][C]-0.0558873[/C][/ROW]
[ROW][C]52[/C][C]90.75[/C][C]90.7739[/C][C]90.5954[/C][C]0.178526[/C][C]-0.0239429[/C][/ROW]
[ROW][C]53[/C][C]90.76[/C][C]90.7978[/C][C]90.7937[/C][C]0.00408179[/C][C]-0.0378318[/C][/ROW]
[ROW][C]54[/C][C]90.67[/C][C]90.847[/C][C]91.0058[/C][C]-0.158835[/C][C]-0.176998[/C][/ROW]
[ROW][C]55[/C][C]90.5[/C][C]90.9335[/C][C]91.2637[/C][C]-0.330224[/C][C]-0.433526[/C][/ROW]
[ROW][C]56[/C][C]90.8[/C][C]91.1733[/C][C]91.5625[/C][C]-0.389159[/C][C]-0.373341[/C][/ROW]
[ROW][C]57[/C][C]91.22[/C][C]91.591[/C][C]91.8929[/C][C]-0.301937[/C][C]-0.37098[/C][/ROW]
[ROW][C]58[/C][C]92.19[/C][C]92.3568[/C][C]92.2592[/C][C]0.0976003[/C][C]-0.166767[/C][/ROW]
[ROW][C]59[/C][C]92.51[/C][C]92.7825[/C][C]92.6354[/C][C]0.147091[/C][C]-0.272508[/C][/ROW]
[ROW][C]60[/C][C]92.67[/C][C]93.107[/C][C]93.0242[/C][C]0.0828318[/C][C]-0.436998[/C][/ROW]
[ROW][C]61[/C][C]93.75[/C][C]93.5969[/C][C]93.4283[/C][C]0.168573[/C][C]0.153094[/C][/ROW]
[ROW][C]62[/C][C]94.1[/C][C]94.0885[/C][C]93.8358[/C][C]0.252647[/C][C]0.0115201[/C][/ROW]
[ROW][C]63[/C][C]94.96[/C][C]94.4771[/C][C]94.2283[/C][C]0.248804[/C][C]0.482863[/C][/ROW]
[ROW][C]64[/C][C]95.21[/C][C]94.751[/C][C]94.5725[/C][C]0.178526[/C][C]0.458974[/C][/ROW]
[ROW][C]65[/C][C]95.33[/C][C]94.8745[/C][C]94.8704[/C][C]0.00408179[/C][C]0.455502[/C][/ROW]
[ROW][C]66[/C][C]95.43[/C][C]94.9978[/C][C]95.1567[/C][C]-0.158835[/C][C]0.432168[/C][/ROW]
[ROW][C]67[/C][C]95.44[/C][C]95.0714[/C][C]95.4017[/C][C]-0.330224[/C][C]0.368557[/C][/ROW]
[ROW][C]68[/C][C]95.64[/C][C]95.2083[/C][C]95.5975[/C][C]-0.389159[/C][C]0.431659[/C][/ROW]
[ROW][C]69[/C][C]95.8[/C][C]95.4543[/C][C]95.7562[/C][C]-0.301937[/C][C]0.345687[/C][/ROW]
[ROW][C]70[/C][C]95.87[/C][C]95.9834[/C][C]95.8858[/C][C]0.0976003[/C][C]-0.113434[/C][/ROW]
[ROW][C]71[/C][C]95.98[/C][C]96.1496[/C][C]96.0025[/C][C]0.147091[/C][C]-0.169591[/C][/ROW]
[ROW][C]72[/C][C]96.07[/C][C]96.1891[/C][C]96.1062[/C][C]0.0828318[/C][C]-0.119082[/C][/ROW]
[ROW][C]73[/C][C]96.23[/C][C]96.3844[/C][C]96.2158[/C][C]0.168573[/C][C]-0.154406[/C][/ROW]
[ROW][C]74[/C][C]96.32[/C][C]96.5851[/C][C]96.3325[/C][C]0.252647[/C][C]-0.265147[/C][/ROW]
[ROW][C]75[/C][C]96.55[/C][C]96.698[/C][C]96.4492[/C][C]0.248804[/C][C]-0.147971[/C][/ROW]
[ROW][C]76[/C][C]96.73[/C][C]96.7798[/C][C]96.6013[/C][C]0.178526[/C][C]-0.0497762[/C][/ROW]
[ROW][C]77[/C][C]96.61[/C][C]96.8016[/C][C]96.7975[/C][C]0.00408179[/C][C]-0.191582[/C][/ROW]
[ROW][C]78[/C][C]96.64[/C][C]96.8474[/C][C]97.0062[/C][C]-0.158835[/C][C]-0.207415[/C][/ROW]
[ROW][C]79[/C][C]96.86[/C][C]96.8877[/C][C]97.2179[/C][C]-0.330224[/C][C]-0.0276929[/C][/ROW]
[ROW][C]80[/C][C]97.02[/C][C]97.0521[/C][C]97.4412[/C][C]-0.389159[/C][C]-0.032091[/C][/ROW]
[ROW][C]81[/C][C]97.22[/C][C]97.3785[/C][C]97.6804[/C][C]-0.301937[/C][C]-0.15848[/C][/ROW]
[ROW][C]82[/C][C]98.1[/C][C]98.0205[/C][C]97.9229[/C][C]0.0976003[/C][C]0.079483[/C][/ROW]
[ROW][C]83[/C][C]98.46[/C][C]98.3183[/C][C]98.1712[/C][C]0.147091[/C][C]0.141659[/C][/ROW]
[ROW][C]84[/C][C]98.6[/C][C]98.5199[/C][C]98.4371[/C][C]0.0828318[/C][C]0.0800849[/C][/ROW]
[ROW][C]85[/C][C]98.78[/C][C]98.8794[/C][C]98.7108[/C][C]0.168573[/C][C]-0.0994059[/C][/ROW]
[ROW][C]86[/C][C]99.13[/C][C]99.2339[/C][C]98.9812[/C][C]0.252647[/C][C]-0.103897[/C][/ROW]
[ROW][C]87[/C][C]99.48[/C][C]99.5001[/C][C]99.2512[/C][C]0.248804[/C][C]-0.020054[/C][/ROW]
[ROW][C]88[/C][C]99.62[/C][C]99.6735[/C][C]99.495[/C][C]0.178526[/C][C]-0.0535262[/C][/ROW]
[ROW][C]89[/C][C]99.68[/C][C]99.7082[/C][C]99.7042[/C][C]0.00408179[/C][C]-0.0282485[/C][/ROW]
[ROW][C]90[/C][C]99.95[/C][C]99.7441[/C][C]99.9029[/C][C]-0.158835[/C][C]0.205918[/C][/ROW]
[ROW][C]91[/C][C]100.12[/C][C]99.7598[/C][C]100.09[/C][C]-0.330224[/C][C]0.360224[/C][/ROW]
[ROW][C]92[/C][C]100.25[/C][C]99.8729[/C][C]100.262[/C][C]-0.389159[/C][C]0.377076[/C][/ROW]
[ROW][C]93[/C][C]100.47[/C][C]100.114[/C][C]100.416[/C][C]-0.301937[/C][C]0.355687[/C][/ROW]
[ROW][C]94[/C][C]100.7[/C][C]100.654[/C][C]100.557[/C][C]0.0976003[/C][C]0.045733[/C][/ROW]
[ROW][C]95[/C][C]100.88[/C][C]100.84[/C][C]100.693[/C][C]0.147091[/C][C]0.040409[/C][/ROW]
[ROW][C]96[/C][C]100.95[/C][C]100.898[/C][C]100.815[/C][C]0.0828318[/C][C]0.0517515[/C][/ROW]
[ROW][C]97[/C][C]100.92[/C][C]101.089[/C][C]100.921[/C][C]0.168573[/C][C]-0.169406[/C][/ROW]
[ROW][C]98[/C][C]101.12[/C][C]101.269[/C][C]101.016[/C][C]0.252647[/C][C]-0.148897[/C][/ROW]
[ROW][C]99[/C][C]101.19[/C][C]101.352[/C][C]101.103[/C][C]0.248804[/C][C]-0.162137[/C][/ROW]
[ROW][C]100[/C][C]101.28[/C][C]101.359[/C][C]101.181[/C][C]0.178526[/C][C]-0.0793596[/C][/ROW]
[ROW][C]101[/C][C]101.28[/C][C]101.257[/C][C]101.253[/C][C]0.00408179[/C][C]0.0230015[/C][/ROW]
[ROW][C]102[/C][C]101.3[/C][C]101.167[/C][C]101.325[/C][C]-0.158835[/C][C]0.133418[/C][/ROW]
[ROW][C]103[/C][C]101.3[/C][C]101.078[/C][C]101.408[/C][C]-0.330224[/C][C]0.222307[/C][/ROW]
[ROW][C]104[/C][C]101.36[/C][C]101.107[/C][C]101.496[/C][C]-0.389159[/C][C]0.253326[/C][/ROW]
[ROW][C]105[/C][C]101.45[/C][C]101.277[/C][C]101.579[/C][C]-0.301937[/C][C]0.173187[/C][/ROW]
[ROW][C]106[/C][C]101.58[/C][C]101.76[/C][C]101.662[/C][C]0.0976003[/C][C]-0.1801[/C][/ROW]
[ROW][C]107[/C][C]101.73[/C][C]101.9[/C][C]101.753[/C][C]0.147091[/C][C]-0.170008[/C][/ROW]
[ROW][C]108[/C][C]101.84[/C][C]101.929[/C][C]101.846[/C][C]0.0828318[/C][C]-0.0886651[/C][/ROW]
[ROW][C]109[/C][C]102.01[/C][C]102.107[/C][C]101.939[/C][C]0.168573[/C][C]-0.0973225[/C][/ROW]
[ROW][C]110[/C][C]102.14[/C][C]102.283[/C][C]102.03[/C][C]0.252647[/C][C]-0.142647[/C][/ROW]
[ROW][C]111[/C][C]102.16[/C][C]102.358[/C][C]102.11[/C][C]0.248804[/C][C]-0.198387[/C][/ROW]
[ROW][C]112[/C][C]102.32[/C][C]102.368[/C][C]102.19[/C][C]0.178526[/C][C]-0.0481096[/C][/ROW]
[ROW][C]113[/C][C]102.41[/C][C]102.279[/C][C]102.275[/C][C]0.00408179[/C][C]0.130502[/C][/ROW]
[ROW][C]114[/C][C]102.4[/C][C]102.2[/C][C]102.359[/C][C]-0.158835[/C][C]0.199668[/C][/ROW]
[ROW][C]115[/C][C]102.43[/C][C]NA[/C][C]NA[/C][C]-0.330224[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]102.42[/C][C]NA[/C][C]NA[/C][C]-0.389159[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]102.3[/C][C]NA[/C][C]NA[/C][C]-0.301937[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]102.65[/C][C]NA[/C][C]NA[/C][C]0.0976003[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]102.72[/C][C]NA[/C][C]NA[/C][C]0.147091[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]102.86[/C][C]NA[/C][C]NA[/C][C]0.0828318[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:

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

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	75.99	NA	NA	0.168573	NA
2	76.31	NA	NA	0.252647	NA
3	76.51	NA	NA	0.248804	NA
4	76.75	NA	NA	0.178526	NA
5	77.23	NA	NA	0.00408179	NA
6	77.22	NA	NA	-0.158835	NA
7	77.25	77.0252	77.3554	-0.330224	0.224807
8	77.36	77.2375	77.6267	-0.389159	0.122492
9	77.57	77.6197	77.9217	-0.301937	-0.0497299
10	77.88	78.3089	78.2113	0.0976003	-0.42885
11	78.29	78.6279	78.4808	0.147091	-0.337924
12	78.42	78.822	78.7392	0.0828318	-0.401998
13	78.96	79.1732	79.0046	0.168573	-0.213156
14	79.85	79.5414	79.2888	0.252647	0.308603
15	80.05	79.8842	79.6354	0.248804	0.165779
16	80.16	80.2998	80.1213	0.178526	-0.139776
17	80.29	80.7103	80.7062	0.00408179	-0.420332
18	80.36	81.1649	81.3237	-0.158835	-0.804915
19	80.48	81.6506	81.9808	-0.330224	-1.17061
20	80.95	82.2413	82.6304	-0.389159	-1.29126
21	82.3	82.9526	83.2546	-0.301937	-0.652647
22	84.81	83.9855	83.8879	0.0976003	0.824483
23	85.4	84.6817	84.5346	0.147091	0.718326
24	86.13	85.2632	85.1804	0.0828318	0.866752
25	87.02	85.9911	85.8225	0.168573	1.02893
26	87.38	86.7026	86.45	0.252647	0.677353
27	87.5	87.2655	87.0167	0.248804	0.234529
28	87.91	87.6273	87.4487	0.178526	0.282724
29	88.06	87.7866	87.7825	0.00408179	0.273418
30	88.09	87.9182	88.0771	-0.158835	0.171752
31	88.16	87.9669	88.2971	-0.330224	0.19314
32	88.33	88.0721	88.4613	-0.389159	0.257909
33	88.52	88.3126	88.6146	-0.301937	0.207353
34	88.96	88.8447	88.7471	0.0976003	0.115316
35	89.26	89.0038	88.8567	0.147091	0.256242
36	89.34	89.0495	88.9667	0.0828318	0.290502
37	89.09	89.2523	89.0838	0.168573	-0.162323
38	89.25	89.4497	89.1971	0.252647	-0.19973
39	89.31	89.5492	89.3004	0.248804	-0.239221
40	89.28	89.5677	89.3892	0.178526	-0.287693
41	89.32	89.4649	89.4608	0.00408179	-0.144915
42	89.47	89.3641	89.5229	-0.158835	0.105918
43	89.59	89.2677	89.5979	-0.330224	0.322307
44	89.62	89.3063	89.6954	-0.389159	0.313742
45	89.71	89.5006	89.8025	-0.301937	0.209437
46	89.9	90.0164	89.9187	0.0976003	-0.11635
47	90.04	90.1871	90.04	0.147091	-0.147091
48	90.05	90.2328	90.15	0.0828318	-0.182832
49	90.18	90.4065	90.2379	0.168573	-0.226489
50	90.5	90.5776	90.325	0.252647	-0.0776466
51	90.63	90.6859	90.4371	0.248804	-0.0558873
52	90.75	90.7739	90.5954	0.178526	-0.0239429
53	90.76	90.7978	90.7937	0.00408179	-0.0378318
54	90.67	90.847	91.0058	-0.158835	-0.176998
55	90.5	90.9335	91.2637	-0.330224	-0.433526
56	90.8	91.1733	91.5625	-0.389159	-0.373341
57	91.22	91.591	91.8929	-0.301937	-0.37098
58	92.19	92.3568	92.2592	0.0976003	-0.166767
59	92.51	92.7825	92.6354	0.147091	-0.272508
60	92.67	93.107	93.0242	0.0828318	-0.436998
61	93.75	93.5969	93.4283	0.168573	0.153094
62	94.1	94.0885	93.8358	0.252647	0.0115201
63	94.96	94.4771	94.2283	0.248804	0.482863
64	95.21	94.751	94.5725	0.178526	0.458974
65	95.33	94.8745	94.8704	0.00408179	0.455502
66	95.43	94.9978	95.1567	-0.158835	0.432168
67	95.44	95.0714	95.4017	-0.330224	0.368557
68	95.64	95.2083	95.5975	-0.389159	0.431659
69	95.8	95.4543	95.7562	-0.301937	0.345687
70	95.87	95.9834	95.8858	0.0976003	-0.113434
71	95.98	96.1496	96.0025	0.147091	-0.169591
72	96.07	96.1891	96.1062	0.0828318	-0.119082
73	96.23	96.3844	96.2158	0.168573	-0.154406
74	96.32	96.5851	96.3325	0.252647	-0.265147
75	96.55	96.698	96.4492	0.248804	-0.147971
76	96.73	96.7798	96.6013	0.178526	-0.0497762
77	96.61	96.8016	96.7975	0.00408179	-0.191582
78	96.64	96.8474	97.0062	-0.158835	-0.207415
79	96.86	96.8877	97.2179	-0.330224	-0.0276929
80	97.02	97.0521	97.4412	-0.389159	-0.032091
81	97.22	97.3785	97.6804	-0.301937	-0.15848
82	98.1	98.0205	97.9229	0.0976003	0.079483
83	98.46	98.3183	98.1712	0.147091	0.141659
84	98.6	98.5199	98.4371	0.0828318	0.0800849
85	98.78	98.8794	98.7108	0.168573	-0.0994059
86	99.13	99.2339	98.9812	0.252647	-0.103897
87	99.48	99.5001	99.2512	0.248804	-0.020054
88	99.62	99.6735	99.495	0.178526	-0.0535262
89	99.68	99.7082	99.7042	0.00408179	-0.0282485
90	99.95	99.7441	99.9029	-0.158835	0.205918
91	100.12	99.7598	100.09	-0.330224	0.360224
92	100.25	99.8729	100.262	-0.389159	0.377076
93	100.47	100.114	100.416	-0.301937	0.355687
94	100.7	100.654	100.557	0.0976003	0.045733
95	100.88	100.84	100.693	0.147091	0.040409
96	100.95	100.898	100.815	0.0828318	0.0517515
97	100.92	101.089	100.921	0.168573	-0.169406
98	101.12	101.269	101.016	0.252647	-0.148897
99	101.19	101.352	101.103	0.248804	-0.162137
100	101.28	101.359	101.181	0.178526	-0.0793596
101	101.28	101.257	101.253	0.00408179	0.0230015
102	101.3	101.167	101.325	-0.158835	0.133418
103	101.3	101.078	101.408	-0.330224	0.222307
104	101.36	101.107	101.496	-0.389159	0.253326
105	101.45	101.277	101.579	-0.301937	0.173187
106	101.58	101.76	101.662	0.0976003	-0.1801
107	101.73	101.9	101.753	0.147091	-0.170008
108	101.84	101.929	101.846	0.0828318	-0.0886651
109	102.01	102.107	101.939	0.168573	-0.0973225
110	102.14	102.283	102.03	0.252647	-0.142647
111	102.16	102.358	102.11	0.248804	-0.198387
112	102.32	102.368	102.19	0.178526	-0.0481096
113	102.41	102.279	102.275	0.00408179	0.130502
114	102.4	102.2	102.359	-0.158835	0.199668
115	102.43	NA	NA	-0.330224	NA
116	102.42	NA	NA	-0.389159	NA
117	102.3	NA	NA	-0.301937	NA
118	102.65	NA	NA	0.0976003	NA
119	102.72	NA	NA	0.147091	NA
120	102.86	NA	NA	0.0828318	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