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rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Tue, 26 Apr 2016 17:02:21 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Apr/26/t1461686568kx17cx7y2drzp3v.htm/, Retrieved Fri, 03 May 2024 20:34:23 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=294912, Retrieved Fri, 03 May 2024 20:34:23 +0000

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

-       [Classical Decomposition] [] [2016-04-26 16:02:21] [d992272e6b10691b6ed213356daa79d7] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ yule.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294912&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294912&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294912&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	'George Udny Yule' @ yule.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	92.46	NA	NA	-0.515598	NA
2	91.73	NA	NA	0.516161	NA
3	91.73	NA	NA	0.422365	NA
4	91.73	NA	NA	0.328569	NA
5	91.73	NA	NA	0.234772	NA
6	91.73	NA	NA	0.140976	NA
7	91.73	91.8042	91.7604	0.0438002	-0.0742168
8	91.73	91.4809	91.5275	-0.0466165	0.249117
9	91.73	90.9821	91.1225	-0.140413	0.747913
10	91.73	90.4833	90.7175	-0.234209	1.24671
11	91.73	89.9845	90.3125	-0.328005	1.74551
12	91.73	89.4857	89.9075	-0.421802	2.2443
13	91.73	88.9869	89.5025	-0.515598	2.7431
14	86.87	89.6137	89.0975	0.516161	-2.74366
15	86.87	89.1149	88.6925	0.422365	-2.24486
16	86.87	88.6161	88.2875	0.328569	-1.74607
17	86.87	88.1173	87.8825	0.234772	-1.24727
18	86.87	87.6185	87.4775	0.140976	-0.748476
19	86.87	87.1163	87.0725	0.0438002	-0.2463
20	86.87	86.9459	86.9925	-0.0466165	-0.0758835
21	86.87	87.0971	87.2375	-0.140413	-0.227087
22	86.87	87.2483	87.4825	-0.234209	-0.378291
23	86.87	87.3995	87.7275	-0.328005	-0.529495
24	86.87	87.5507	87.9725	-0.421802	-0.680698
25	86.87	87.7019	88.2175	-0.515598	-0.831902
26	89.81	88.9787	88.4625	0.516161	0.831339
27	89.81	89.1299	88.7075	0.422365	0.680135
28	89.81	89.2811	88.9525	0.328569	0.528931
29	89.81	89.4323	89.1975	0.234772	0.377728
30	89.81	89.5835	89.4425	0.140976	0.226524
31	89.81	89.7313	89.6875	0.0438002	0.0786998
32	89.81	89.9717	90.0183	-0.0466165	-0.161717
33	89.81	90.2946	90.435	-0.140413	-0.484587
34	89.81	90.6175	90.8517	-0.234209	-0.807458
35	89.81	90.9403	91.2683	-0.328005	-1.13033
36	89.81	91.2632	91.685	-0.421802	-1.4532
37	89.81	91.5861	92.1017	-0.515598	-1.77607
38	94.81	93.0345	92.5183	0.516161	1.77551
39	94.81	93.3574	92.935	0.422365	1.45264
40	94.81	93.6802	93.3517	0.328569	1.12976
41	94.81	94.0031	93.7683	0.234772	0.806894
42	94.81	94.326	94.185	0.140976	0.484024
43	94.81	94.6455	94.6017	0.0438002	0.164533
44	94.81	94.7717	94.8183	-0.0466165	0.0382832
45	94.81	94.6946	94.835	-0.140413	0.115413
46	94.81	94.6175	94.8517	-0.234209	0.192542
47	94.81	94.5403	94.8683	-0.328005	0.269672
48	94.81	94.4632	94.885	-0.421802	0.346802
49	94.81	94.3861	94.9017	-0.515598	0.423931
50	95.01	95.4345	94.9183	0.516161	-0.424495
51	95.01	95.3574	94.935	0.422365	-0.347365
52	95.01	95.2802	94.9517	0.328569	-0.270235
53	95.01	95.2031	94.9683	0.234772	-0.193106
54	95.01	95.126	94.985	0.140976	-0.115976
55	95.01	95.0455	95.0017	0.0438002	-0.0354668
56	95.01	94.9867	95.0333	-0.0466165	0.0232832
57	95.01	94.9396	95.08	-0.140413	0.0704128
58	95.01	94.8925	95.1267	-0.234209	0.117542
59	95.01	94.8453	95.1733	-0.328005	0.164672
60	95.01	94.7982	95.22	-0.421802	0.211802
61	95.01	94.7511	95.2667	-0.515598	0.258931
62	95.57	95.8295	95.3133	0.516161	-0.259495
63	95.57	95.7824	95.36	0.422365	-0.212365
64	95.57	95.7352	95.4067	0.328569	-0.165235
65	95.57	95.6881	95.4533	0.234772	-0.118106
66	95.57	95.641	95.5	0.140976	-0.0709761
67	95.57	95.5905	95.5467	0.0438002	-0.0204668
68	95.57	95.648	95.6946	-0.0466165	-0.0779668
69	95.57	95.8033	95.9438	-0.140413	-0.233337
70	95.57	95.9587	96.1929	-0.234209	-0.388708
71	95.57	96.1141	96.4421	-0.328005	-0.544078
72	95.57	96.2694	96.6912	-0.421802	-0.699448
73	95.57	96.4248	96.9404	-0.515598	-0.854819
74	98.56	97.7057	97.1896	0.516161	0.854255
75	98.56	97.8611	97.4388	0.422365	0.698885
76	98.56	98.0165	97.6879	0.328569	0.543515
77	98.56	98.1719	97.9371	0.234772	0.388144
78	98.56	98.3272	98.1862	0.140976	0.232774
79	98.56	98.4792	98.4354	0.0438002	0.0807832
80	98.56	98.5788	98.6254	-0.0466165	-0.0188002
81	98.56	98.6158	98.7563	-0.140413	-0.0558372
82	98.56	98.6529	98.8871	-0.234209	-0.0928742
83	98.56	98.6899	99.0179	-0.328005	-0.129911
84	98.56	98.7269	99.1488	-0.421802	-0.166948
85	98.56	98.764	99.2796	-0.515598	-0.203985
86	100.13	99.9266	99.4104	0.516161	0.203422
87	100.13	99.9636	99.5413	0.422365	0.166385
88	100.13	100.001	99.6721	0.328569	0.129348
89	100.13	100.038	99.8029	0.234772	0.092311
90	100.13	100.075	99.9338	0.140976	0.0552739
91	100.13	100.108	100.065	0.0438002	0.0216165
92	100.13	100.155	100.202	-0.0466165	-0.0254668
93	100.13	100.206	100.346	-0.140413	-0.0758372
94	100.13	100.256	100.49	-0.234209	-0.126208
95	100.13	100.307	100.635	-0.328005	-0.176578
96	100.13	100.357	100.779	-0.421802	-0.226948
97	100.13	100.407	100.923	-0.515598	-0.277319
98	101.86	101.583	101.067	0.516161	0.276755
99	101.86	101.634	101.211	0.422365	0.226385
100	101.86	101.684	101.355	0.328569	0.176015
101	101.86	101.734	101.5	0.234772	0.125644
102	101.86	101.785	101.644	0.140976	0.0752739
103	101.86	101.832	101.788	0.0438002	0.0282832
104	101.86	101.813	101.86	-0.0466165	0.0466165
105	101.86	101.72	101.86	-0.140413	0.140413
106	101.86	101.626	101.86	-0.234209	0.234209
107	101.86	101.532	101.86	-0.328005	0.328005
108	101.86	101.438	101.86	-0.421802	0.421802
109	101.86	101.344	101.86	-0.515598	0.515598
110	101.86	102.376	101.86	0.516161	-0.516161
111	101.86	102.282	101.86	0.422365	-0.422365
112	101.86	102.189	101.86	0.328569	-0.328569
113	101.86	102.095	101.86	0.234772	-0.234772
114	101.86	102.001	101.86	0.140976	-0.140976
115	101.86	NA	NA	0.0438002	NA
116	101.86	NA	NA	-0.0466165	NA
117	101.86	NA	NA	-0.140413	NA
118	101.86	NA	NA	-0.234209	NA
119	101.86	NA	NA	-0.328005	NA
120	101.86	NA	NA	-0.421802	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 92.46 & NA & NA & -0.515598 & NA \tabularnewline
2 & 91.73 & NA & NA & 0.516161 & NA \tabularnewline
3 & 91.73 & NA & NA & 0.422365 & NA \tabularnewline
4 & 91.73 & NA & NA & 0.328569 & NA \tabularnewline
5 & 91.73 & NA & NA & 0.234772 & NA \tabularnewline
6 & 91.73 & NA & NA & 0.140976 & NA \tabularnewline
7 & 91.73 & 91.8042 & 91.7604 & 0.0438002 & -0.0742168 \tabularnewline
8 & 91.73 & 91.4809 & 91.5275 & -0.0466165 & 0.249117 \tabularnewline
9 & 91.73 & 90.9821 & 91.1225 & -0.140413 & 0.747913 \tabularnewline
10 & 91.73 & 90.4833 & 90.7175 & -0.234209 & 1.24671 \tabularnewline
11 & 91.73 & 89.9845 & 90.3125 & -0.328005 & 1.74551 \tabularnewline
12 & 91.73 & 89.4857 & 89.9075 & -0.421802 & 2.2443 \tabularnewline
13 & 91.73 & 88.9869 & 89.5025 & -0.515598 & 2.7431 \tabularnewline
14 & 86.87 & 89.6137 & 89.0975 & 0.516161 & -2.74366 \tabularnewline
15 & 86.87 & 89.1149 & 88.6925 & 0.422365 & -2.24486 \tabularnewline
16 & 86.87 & 88.6161 & 88.2875 & 0.328569 & -1.74607 \tabularnewline
17 & 86.87 & 88.1173 & 87.8825 & 0.234772 & -1.24727 \tabularnewline
18 & 86.87 & 87.6185 & 87.4775 & 0.140976 & -0.748476 \tabularnewline
19 & 86.87 & 87.1163 & 87.0725 & 0.0438002 & -0.2463 \tabularnewline
20 & 86.87 & 86.9459 & 86.9925 & -0.0466165 & -0.0758835 \tabularnewline
21 & 86.87 & 87.0971 & 87.2375 & -0.140413 & -0.227087 \tabularnewline
22 & 86.87 & 87.2483 & 87.4825 & -0.234209 & -0.378291 \tabularnewline
23 & 86.87 & 87.3995 & 87.7275 & -0.328005 & -0.529495 \tabularnewline
24 & 86.87 & 87.5507 & 87.9725 & -0.421802 & -0.680698 \tabularnewline
25 & 86.87 & 87.7019 & 88.2175 & -0.515598 & -0.831902 \tabularnewline
26 & 89.81 & 88.9787 & 88.4625 & 0.516161 & 0.831339 \tabularnewline
27 & 89.81 & 89.1299 & 88.7075 & 0.422365 & 0.680135 \tabularnewline
28 & 89.81 & 89.2811 & 88.9525 & 0.328569 & 0.528931 \tabularnewline
29 & 89.81 & 89.4323 & 89.1975 & 0.234772 & 0.377728 \tabularnewline
30 & 89.81 & 89.5835 & 89.4425 & 0.140976 & 0.226524 \tabularnewline
31 & 89.81 & 89.7313 & 89.6875 & 0.0438002 & 0.0786998 \tabularnewline
32 & 89.81 & 89.9717 & 90.0183 & -0.0466165 & -0.161717 \tabularnewline
33 & 89.81 & 90.2946 & 90.435 & -0.140413 & -0.484587 \tabularnewline
34 & 89.81 & 90.6175 & 90.8517 & -0.234209 & -0.807458 \tabularnewline
35 & 89.81 & 90.9403 & 91.2683 & -0.328005 & -1.13033 \tabularnewline
36 & 89.81 & 91.2632 & 91.685 & -0.421802 & -1.4532 \tabularnewline
37 & 89.81 & 91.5861 & 92.1017 & -0.515598 & -1.77607 \tabularnewline
38 & 94.81 & 93.0345 & 92.5183 & 0.516161 & 1.77551 \tabularnewline
39 & 94.81 & 93.3574 & 92.935 & 0.422365 & 1.45264 \tabularnewline
40 & 94.81 & 93.6802 & 93.3517 & 0.328569 & 1.12976 \tabularnewline
41 & 94.81 & 94.0031 & 93.7683 & 0.234772 & 0.806894 \tabularnewline
42 & 94.81 & 94.326 & 94.185 & 0.140976 & 0.484024 \tabularnewline
43 & 94.81 & 94.6455 & 94.6017 & 0.0438002 & 0.164533 \tabularnewline
44 & 94.81 & 94.7717 & 94.8183 & -0.0466165 & 0.0382832 \tabularnewline
45 & 94.81 & 94.6946 & 94.835 & -0.140413 & 0.115413 \tabularnewline
46 & 94.81 & 94.6175 & 94.8517 & -0.234209 & 0.192542 \tabularnewline
47 & 94.81 & 94.5403 & 94.8683 & -0.328005 & 0.269672 \tabularnewline
48 & 94.81 & 94.4632 & 94.885 & -0.421802 & 0.346802 \tabularnewline
49 & 94.81 & 94.3861 & 94.9017 & -0.515598 & 0.423931 \tabularnewline
50 & 95.01 & 95.4345 & 94.9183 & 0.516161 & -0.424495 \tabularnewline
51 & 95.01 & 95.3574 & 94.935 & 0.422365 & -0.347365 \tabularnewline
52 & 95.01 & 95.2802 & 94.9517 & 0.328569 & -0.270235 \tabularnewline
53 & 95.01 & 95.2031 & 94.9683 & 0.234772 & -0.193106 \tabularnewline
54 & 95.01 & 95.126 & 94.985 & 0.140976 & -0.115976 \tabularnewline
55 & 95.01 & 95.0455 & 95.0017 & 0.0438002 & -0.0354668 \tabularnewline
56 & 95.01 & 94.9867 & 95.0333 & -0.0466165 & 0.0232832 \tabularnewline
57 & 95.01 & 94.9396 & 95.08 & -0.140413 & 0.0704128 \tabularnewline
58 & 95.01 & 94.8925 & 95.1267 & -0.234209 & 0.117542 \tabularnewline
59 & 95.01 & 94.8453 & 95.1733 & -0.328005 & 0.164672 \tabularnewline
60 & 95.01 & 94.7982 & 95.22 & -0.421802 & 0.211802 \tabularnewline
61 & 95.01 & 94.7511 & 95.2667 & -0.515598 & 0.258931 \tabularnewline
62 & 95.57 & 95.8295 & 95.3133 & 0.516161 & -0.259495 \tabularnewline
63 & 95.57 & 95.7824 & 95.36 & 0.422365 & -0.212365 \tabularnewline
64 & 95.57 & 95.7352 & 95.4067 & 0.328569 & -0.165235 \tabularnewline
65 & 95.57 & 95.6881 & 95.4533 & 0.234772 & -0.118106 \tabularnewline
66 & 95.57 & 95.641 & 95.5 & 0.140976 & -0.0709761 \tabularnewline
67 & 95.57 & 95.5905 & 95.5467 & 0.0438002 & -0.0204668 \tabularnewline
68 & 95.57 & 95.648 & 95.6946 & -0.0466165 & -0.0779668 \tabularnewline
69 & 95.57 & 95.8033 & 95.9438 & -0.140413 & -0.233337 \tabularnewline
70 & 95.57 & 95.9587 & 96.1929 & -0.234209 & -0.388708 \tabularnewline
71 & 95.57 & 96.1141 & 96.4421 & -0.328005 & -0.544078 \tabularnewline
72 & 95.57 & 96.2694 & 96.6912 & -0.421802 & -0.699448 \tabularnewline
73 & 95.57 & 96.4248 & 96.9404 & -0.515598 & -0.854819 \tabularnewline
74 & 98.56 & 97.7057 & 97.1896 & 0.516161 & 0.854255 \tabularnewline
75 & 98.56 & 97.8611 & 97.4388 & 0.422365 & 0.698885 \tabularnewline
76 & 98.56 & 98.0165 & 97.6879 & 0.328569 & 0.543515 \tabularnewline
77 & 98.56 & 98.1719 & 97.9371 & 0.234772 & 0.388144 \tabularnewline
78 & 98.56 & 98.3272 & 98.1862 & 0.140976 & 0.232774 \tabularnewline
79 & 98.56 & 98.4792 & 98.4354 & 0.0438002 & 0.0807832 \tabularnewline
80 & 98.56 & 98.5788 & 98.6254 & -0.0466165 & -0.0188002 \tabularnewline
81 & 98.56 & 98.6158 & 98.7563 & -0.140413 & -0.0558372 \tabularnewline
82 & 98.56 & 98.6529 & 98.8871 & -0.234209 & -0.0928742 \tabularnewline
83 & 98.56 & 98.6899 & 99.0179 & -0.328005 & -0.129911 \tabularnewline
84 & 98.56 & 98.7269 & 99.1488 & -0.421802 & -0.166948 \tabularnewline
85 & 98.56 & 98.764 & 99.2796 & -0.515598 & -0.203985 \tabularnewline
86 & 100.13 & 99.9266 & 99.4104 & 0.516161 & 0.203422 \tabularnewline
87 & 100.13 & 99.9636 & 99.5413 & 0.422365 & 0.166385 \tabularnewline
88 & 100.13 & 100.001 & 99.6721 & 0.328569 & 0.129348 \tabularnewline
89 & 100.13 & 100.038 & 99.8029 & 0.234772 & 0.092311 \tabularnewline
90 & 100.13 & 100.075 & 99.9338 & 0.140976 & 0.0552739 \tabularnewline
91 & 100.13 & 100.108 & 100.065 & 0.0438002 & 0.0216165 \tabularnewline
92 & 100.13 & 100.155 & 100.202 & -0.0466165 & -0.0254668 \tabularnewline
93 & 100.13 & 100.206 & 100.346 & -0.140413 & -0.0758372 \tabularnewline
94 & 100.13 & 100.256 & 100.49 & -0.234209 & -0.126208 \tabularnewline
95 & 100.13 & 100.307 & 100.635 & -0.328005 & -0.176578 \tabularnewline
96 & 100.13 & 100.357 & 100.779 & -0.421802 & -0.226948 \tabularnewline
97 & 100.13 & 100.407 & 100.923 & -0.515598 & -0.277319 \tabularnewline
98 & 101.86 & 101.583 & 101.067 & 0.516161 & 0.276755 \tabularnewline
99 & 101.86 & 101.634 & 101.211 & 0.422365 & 0.226385 \tabularnewline
100 & 101.86 & 101.684 & 101.355 & 0.328569 & 0.176015 \tabularnewline
101 & 101.86 & 101.734 & 101.5 & 0.234772 & 0.125644 \tabularnewline
102 & 101.86 & 101.785 & 101.644 & 0.140976 & 0.0752739 \tabularnewline
103 & 101.86 & 101.832 & 101.788 & 0.0438002 & 0.0282832 \tabularnewline
104 & 101.86 & 101.813 & 101.86 & -0.0466165 & 0.0466165 \tabularnewline
105 & 101.86 & 101.72 & 101.86 & -0.140413 & 0.140413 \tabularnewline
106 & 101.86 & 101.626 & 101.86 & -0.234209 & 0.234209 \tabularnewline
107 & 101.86 & 101.532 & 101.86 & -0.328005 & 0.328005 \tabularnewline
108 & 101.86 & 101.438 & 101.86 & -0.421802 & 0.421802 \tabularnewline
109 & 101.86 & 101.344 & 101.86 & -0.515598 & 0.515598 \tabularnewline
110 & 101.86 & 102.376 & 101.86 & 0.516161 & -0.516161 \tabularnewline
111 & 101.86 & 102.282 & 101.86 & 0.422365 & -0.422365 \tabularnewline
112 & 101.86 & 102.189 & 101.86 & 0.328569 & -0.328569 \tabularnewline
113 & 101.86 & 102.095 & 101.86 & 0.234772 & -0.234772 \tabularnewline
114 & 101.86 & 102.001 & 101.86 & 0.140976 & -0.140976 \tabularnewline
115 & 101.86 & NA & NA & 0.0438002 & NA \tabularnewline
116 & 101.86 & NA & NA & -0.0466165 & NA \tabularnewline
117 & 101.86 & NA & NA & -0.140413 & NA \tabularnewline
118 & 101.86 & NA & NA & -0.234209 & NA \tabularnewline
119 & 101.86 & NA & NA & -0.328005 & NA \tabularnewline
120 & 101.86 & NA & NA & -0.421802 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294912&T=1

[TABLE]
[ROW][C]Classical Decomposition by Moving Averages[/C][/ROW]
[ROW][C]t[/C][C]Observations[/C][C]Fit[/C][C]Trend[/C][C]Seasonal[/C][C]Random[/C][/ROW]
[ROW][C]1[/C][C]92.46[/C][C]NA[/C][C]NA[/C][C]-0.515598[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]91.73[/C][C]NA[/C][C]NA[/C][C]0.516161[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]91.73[/C][C]NA[/C][C]NA[/C][C]0.422365[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]91.73[/C][C]NA[/C][C]NA[/C][C]0.328569[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]91.73[/C][C]NA[/C][C]NA[/C][C]0.234772[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]91.73[/C][C]NA[/C][C]NA[/C][C]0.140976[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]91.73[/C][C]91.8042[/C][C]91.7604[/C][C]0.0438002[/C][C]-0.0742168[/C][/ROW]
[ROW][C]8[/C][C]91.73[/C][C]91.4809[/C][C]91.5275[/C][C]-0.0466165[/C][C]0.249117[/C][/ROW]
[ROW][C]9[/C][C]91.73[/C][C]90.9821[/C][C]91.1225[/C][C]-0.140413[/C][C]0.747913[/C][/ROW]
[ROW][C]10[/C][C]91.73[/C][C]90.4833[/C][C]90.7175[/C][C]-0.234209[/C][C]1.24671[/C][/ROW]
[ROW][C]11[/C][C]91.73[/C][C]89.9845[/C][C]90.3125[/C][C]-0.328005[/C][C]1.74551[/C][/ROW]
[ROW][C]12[/C][C]91.73[/C][C]89.4857[/C][C]89.9075[/C][C]-0.421802[/C][C]2.2443[/C][/ROW]
[ROW][C]13[/C][C]91.73[/C][C]88.9869[/C][C]89.5025[/C][C]-0.515598[/C][C]2.7431[/C][/ROW]
[ROW][C]14[/C][C]86.87[/C][C]89.6137[/C][C]89.0975[/C][C]0.516161[/C][C]-2.74366[/C][/ROW]
[ROW][C]15[/C][C]86.87[/C][C]89.1149[/C][C]88.6925[/C][C]0.422365[/C][C]-2.24486[/C][/ROW]
[ROW][C]16[/C][C]86.87[/C][C]88.6161[/C][C]88.2875[/C][C]0.328569[/C][C]-1.74607[/C][/ROW]
[ROW][C]17[/C][C]86.87[/C][C]88.1173[/C][C]87.8825[/C][C]0.234772[/C][C]-1.24727[/C][/ROW]
[ROW][C]18[/C][C]86.87[/C][C]87.6185[/C][C]87.4775[/C][C]0.140976[/C][C]-0.748476[/C][/ROW]
[ROW][C]19[/C][C]86.87[/C][C]87.1163[/C][C]87.0725[/C][C]0.0438002[/C][C]-0.2463[/C][/ROW]
[ROW][C]20[/C][C]86.87[/C][C]86.9459[/C][C]86.9925[/C][C]-0.0466165[/C][C]-0.0758835[/C][/ROW]
[ROW][C]21[/C][C]86.87[/C][C]87.0971[/C][C]87.2375[/C][C]-0.140413[/C][C]-0.227087[/C][/ROW]
[ROW][C]22[/C][C]86.87[/C][C]87.2483[/C][C]87.4825[/C][C]-0.234209[/C][C]-0.378291[/C][/ROW]
[ROW][C]23[/C][C]86.87[/C][C]87.3995[/C][C]87.7275[/C][C]-0.328005[/C][C]-0.529495[/C][/ROW]
[ROW][C]24[/C][C]86.87[/C][C]87.5507[/C][C]87.9725[/C][C]-0.421802[/C][C]-0.680698[/C][/ROW]
[ROW][C]25[/C][C]86.87[/C][C]87.7019[/C][C]88.2175[/C][C]-0.515598[/C][C]-0.831902[/C][/ROW]
[ROW][C]26[/C][C]89.81[/C][C]88.9787[/C][C]88.4625[/C][C]0.516161[/C][C]0.831339[/C][/ROW]
[ROW][C]27[/C][C]89.81[/C][C]89.1299[/C][C]88.7075[/C][C]0.422365[/C][C]0.680135[/C][/ROW]
[ROW][C]28[/C][C]89.81[/C][C]89.2811[/C][C]88.9525[/C][C]0.328569[/C][C]0.528931[/C][/ROW]
[ROW][C]29[/C][C]89.81[/C][C]89.4323[/C][C]89.1975[/C][C]0.234772[/C][C]0.377728[/C][/ROW]
[ROW][C]30[/C][C]89.81[/C][C]89.5835[/C][C]89.4425[/C][C]0.140976[/C][C]0.226524[/C][/ROW]
[ROW][C]31[/C][C]89.81[/C][C]89.7313[/C][C]89.6875[/C][C]0.0438002[/C][C]0.0786998[/C][/ROW]
[ROW][C]32[/C][C]89.81[/C][C]89.9717[/C][C]90.0183[/C][C]-0.0466165[/C][C]-0.161717[/C][/ROW]
[ROW][C]33[/C][C]89.81[/C][C]90.2946[/C][C]90.435[/C][C]-0.140413[/C][C]-0.484587[/C][/ROW]
[ROW][C]34[/C][C]89.81[/C][C]90.6175[/C][C]90.8517[/C][C]-0.234209[/C][C]-0.807458[/C][/ROW]
[ROW][C]35[/C][C]89.81[/C][C]90.9403[/C][C]91.2683[/C][C]-0.328005[/C][C]-1.13033[/C][/ROW]
[ROW][C]36[/C][C]89.81[/C][C]91.2632[/C][C]91.685[/C][C]-0.421802[/C][C]-1.4532[/C][/ROW]
[ROW][C]37[/C][C]89.81[/C][C]91.5861[/C][C]92.1017[/C][C]-0.515598[/C][C]-1.77607[/C][/ROW]
[ROW][C]38[/C][C]94.81[/C][C]93.0345[/C][C]92.5183[/C][C]0.516161[/C][C]1.77551[/C][/ROW]
[ROW][C]39[/C][C]94.81[/C][C]93.3574[/C][C]92.935[/C][C]0.422365[/C][C]1.45264[/C][/ROW]
[ROW][C]40[/C][C]94.81[/C][C]93.6802[/C][C]93.3517[/C][C]0.328569[/C][C]1.12976[/C][/ROW]
[ROW][C]41[/C][C]94.81[/C][C]94.0031[/C][C]93.7683[/C][C]0.234772[/C][C]0.806894[/C][/ROW]
[ROW][C]42[/C][C]94.81[/C][C]94.326[/C][C]94.185[/C][C]0.140976[/C][C]0.484024[/C][/ROW]
[ROW][C]43[/C][C]94.81[/C][C]94.6455[/C][C]94.6017[/C][C]0.0438002[/C][C]0.164533[/C][/ROW]
[ROW][C]44[/C][C]94.81[/C][C]94.7717[/C][C]94.8183[/C][C]-0.0466165[/C][C]0.0382832[/C][/ROW]
[ROW][C]45[/C][C]94.81[/C][C]94.6946[/C][C]94.835[/C][C]-0.140413[/C][C]0.115413[/C][/ROW]
[ROW][C]46[/C][C]94.81[/C][C]94.6175[/C][C]94.8517[/C][C]-0.234209[/C][C]0.192542[/C][/ROW]
[ROW][C]47[/C][C]94.81[/C][C]94.5403[/C][C]94.8683[/C][C]-0.328005[/C][C]0.269672[/C][/ROW]
[ROW][C]48[/C][C]94.81[/C][C]94.4632[/C][C]94.885[/C][C]-0.421802[/C][C]0.346802[/C][/ROW]
[ROW][C]49[/C][C]94.81[/C][C]94.3861[/C][C]94.9017[/C][C]-0.515598[/C][C]0.423931[/C][/ROW]
[ROW][C]50[/C][C]95.01[/C][C]95.4345[/C][C]94.9183[/C][C]0.516161[/C][C]-0.424495[/C][/ROW]
[ROW][C]51[/C][C]95.01[/C][C]95.3574[/C][C]94.935[/C][C]0.422365[/C][C]-0.347365[/C][/ROW]
[ROW][C]52[/C][C]95.01[/C][C]95.2802[/C][C]94.9517[/C][C]0.328569[/C][C]-0.270235[/C][/ROW]
[ROW][C]53[/C][C]95.01[/C][C]95.2031[/C][C]94.9683[/C][C]0.234772[/C][C]-0.193106[/C][/ROW]
[ROW][C]54[/C][C]95.01[/C][C]95.126[/C][C]94.985[/C][C]0.140976[/C][C]-0.115976[/C][/ROW]
[ROW][C]55[/C][C]95.01[/C][C]95.0455[/C][C]95.0017[/C][C]0.0438002[/C][C]-0.0354668[/C][/ROW]
[ROW][C]56[/C][C]95.01[/C][C]94.9867[/C][C]95.0333[/C][C]-0.0466165[/C][C]0.0232832[/C][/ROW]
[ROW][C]57[/C][C]95.01[/C][C]94.9396[/C][C]95.08[/C][C]-0.140413[/C][C]0.0704128[/C][/ROW]
[ROW][C]58[/C][C]95.01[/C][C]94.8925[/C][C]95.1267[/C][C]-0.234209[/C][C]0.117542[/C][/ROW]
[ROW][C]59[/C][C]95.01[/C][C]94.8453[/C][C]95.1733[/C][C]-0.328005[/C][C]0.164672[/C][/ROW]
[ROW][C]60[/C][C]95.01[/C][C]94.7982[/C][C]95.22[/C][C]-0.421802[/C][C]0.211802[/C][/ROW]
[ROW][C]61[/C][C]95.01[/C][C]94.7511[/C][C]95.2667[/C][C]-0.515598[/C][C]0.258931[/C][/ROW]
[ROW][C]62[/C][C]95.57[/C][C]95.8295[/C][C]95.3133[/C][C]0.516161[/C][C]-0.259495[/C][/ROW]
[ROW][C]63[/C][C]95.57[/C][C]95.7824[/C][C]95.36[/C][C]0.422365[/C][C]-0.212365[/C][/ROW]
[ROW][C]64[/C][C]95.57[/C][C]95.7352[/C][C]95.4067[/C][C]0.328569[/C][C]-0.165235[/C][/ROW]
[ROW][C]65[/C][C]95.57[/C][C]95.6881[/C][C]95.4533[/C][C]0.234772[/C][C]-0.118106[/C][/ROW]
[ROW][C]66[/C][C]95.57[/C][C]95.641[/C][C]95.5[/C][C]0.140976[/C][C]-0.0709761[/C][/ROW]
[ROW][C]67[/C][C]95.57[/C][C]95.5905[/C][C]95.5467[/C][C]0.0438002[/C][C]-0.0204668[/C][/ROW]
[ROW][C]68[/C][C]95.57[/C][C]95.648[/C][C]95.6946[/C][C]-0.0466165[/C][C]-0.0779668[/C][/ROW]
[ROW][C]69[/C][C]95.57[/C][C]95.8033[/C][C]95.9438[/C][C]-0.140413[/C][C]-0.233337[/C][/ROW]
[ROW][C]70[/C][C]95.57[/C][C]95.9587[/C][C]96.1929[/C][C]-0.234209[/C][C]-0.388708[/C][/ROW]
[ROW][C]71[/C][C]95.57[/C][C]96.1141[/C][C]96.4421[/C][C]-0.328005[/C][C]-0.544078[/C][/ROW]
[ROW][C]72[/C][C]95.57[/C][C]96.2694[/C][C]96.6912[/C][C]-0.421802[/C][C]-0.699448[/C][/ROW]
[ROW][C]73[/C][C]95.57[/C][C]96.4248[/C][C]96.9404[/C][C]-0.515598[/C][C]-0.854819[/C][/ROW]
[ROW][C]74[/C][C]98.56[/C][C]97.7057[/C][C]97.1896[/C][C]0.516161[/C][C]0.854255[/C][/ROW]
[ROW][C]75[/C][C]98.56[/C][C]97.8611[/C][C]97.4388[/C][C]0.422365[/C][C]0.698885[/C][/ROW]
[ROW][C]76[/C][C]98.56[/C][C]98.0165[/C][C]97.6879[/C][C]0.328569[/C][C]0.543515[/C][/ROW]
[ROW][C]77[/C][C]98.56[/C][C]98.1719[/C][C]97.9371[/C][C]0.234772[/C][C]0.388144[/C][/ROW]
[ROW][C]78[/C][C]98.56[/C][C]98.3272[/C][C]98.1862[/C][C]0.140976[/C][C]0.232774[/C][/ROW]
[ROW][C]79[/C][C]98.56[/C][C]98.4792[/C][C]98.4354[/C][C]0.0438002[/C][C]0.0807832[/C][/ROW]
[ROW][C]80[/C][C]98.56[/C][C]98.5788[/C][C]98.6254[/C][C]-0.0466165[/C][C]-0.0188002[/C][/ROW]
[ROW][C]81[/C][C]98.56[/C][C]98.6158[/C][C]98.7563[/C][C]-0.140413[/C][C]-0.0558372[/C][/ROW]
[ROW][C]82[/C][C]98.56[/C][C]98.6529[/C][C]98.8871[/C][C]-0.234209[/C][C]-0.0928742[/C][/ROW]
[ROW][C]83[/C][C]98.56[/C][C]98.6899[/C][C]99.0179[/C][C]-0.328005[/C][C]-0.129911[/C][/ROW]
[ROW][C]84[/C][C]98.56[/C][C]98.7269[/C][C]99.1488[/C][C]-0.421802[/C][C]-0.166948[/C][/ROW]
[ROW][C]85[/C][C]98.56[/C][C]98.764[/C][C]99.2796[/C][C]-0.515598[/C][C]-0.203985[/C][/ROW]
[ROW][C]86[/C][C]100.13[/C][C]99.9266[/C][C]99.4104[/C][C]0.516161[/C][C]0.203422[/C][/ROW]
[ROW][C]87[/C][C]100.13[/C][C]99.9636[/C][C]99.5413[/C][C]0.422365[/C][C]0.166385[/C][/ROW]
[ROW][C]88[/C][C]100.13[/C][C]100.001[/C][C]99.6721[/C][C]0.328569[/C][C]0.129348[/C][/ROW]
[ROW][C]89[/C][C]100.13[/C][C]100.038[/C][C]99.8029[/C][C]0.234772[/C][C]0.092311[/C][/ROW]
[ROW][C]90[/C][C]100.13[/C][C]100.075[/C][C]99.9338[/C][C]0.140976[/C][C]0.0552739[/C][/ROW]
[ROW][C]91[/C][C]100.13[/C][C]100.108[/C][C]100.065[/C][C]0.0438002[/C][C]0.0216165[/C][/ROW]
[ROW][C]92[/C][C]100.13[/C][C]100.155[/C][C]100.202[/C][C]-0.0466165[/C][C]-0.0254668[/C][/ROW]
[ROW][C]93[/C][C]100.13[/C][C]100.206[/C][C]100.346[/C][C]-0.140413[/C][C]-0.0758372[/C][/ROW]
[ROW][C]94[/C][C]100.13[/C][C]100.256[/C][C]100.49[/C][C]-0.234209[/C][C]-0.126208[/C][/ROW]
[ROW][C]95[/C][C]100.13[/C][C]100.307[/C][C]100.635[/C][C]-0.328005[/C][C]-0.176578[/C][/ROW]
[ROW][C]96[/C][C]100.13[/C][C]100.357[/C][C]100.779[/C][C]-0.421802[/C][C]-0.226948[/C][/ROW]
[ROW][C]97[/C][C]100.13[/C][C]100.407[/C][C]100.923[/C][C]-0.515598[/C][C]-0.277319[/C][/ROW]
[ROW][C]98[/C][C]101.86[/C][C]101.583[/C][C]101.067[/C][C]0.516161[/C][C]0.276755[/C][/ROW]
[ROW][C]99[/C][C]101.86[/C][C]101.634[/C][C]101.211[/C][C]0.422365[/C][C]0.226385[/C][/ROW]
[ROW][C]100[/C][C]101.86[/C][C]101.684[/C][C]101.355[/C][C]0.328569[/C][C]0.176015[/C][/ROW]
[ROW][C]101[/C][C]101.86[/C][C]101.734[/C][C]101.5[/C][C]0.234772[/C][C]0.125644[/C][/ROW]
[ROW][C]102[/C][C]101.86[/C][C]101.785[/C][C]101.644[/C][C]0.140976[/C][C]0.0752739[/C][/ROW]
[ROW][C]103[/C][C]101.86[/C][C]101.832[/C][C]101.788[/C][C]0.0438002[/C][C]0.0282832[/C][/ROW]
[ROW][C]104[/C][C]101.86[/C][C]101.813[/C][C]101.86[/C][C]-0.0466165[/C][C]0.0466165[/C][/ROW]
[ROW][C]105[/C][C]101.86[/C][C]101.72[/C][C]101.86[/C][C]-0.140413[/C][C]0.140413[/C][/ROW]
[ROW][C]106[/C][C]101.86[/C][C]101.626[/C][C]101.86[/C][C]-0.234209[/C][C]0.234209[/C][/ROW]
[ROW][C]107[/C][C]101.86[/C][C]101.532[/C][C]101.86[/C][C]-0.328005[/C][C]0.328005[/C][/ROW]
[ROW][C]108[/C][C]101.86[/C][C]101.438[/C][C]101.86[/C][C]-0.421802[/C][C]0.421802[/C][/ROW]
[ROW][C]109[/C][C]101.86[/C][C]101.344[/C][C]101.86[/C][C]-0.515598[/C][C]0.515598[/C][/ROW]
[ROW][C]110[/C][C]101.86[/C][C]102.376[/C][C]101.86[/C][C]0.516161[/C][C]-0.516161[/C][/ROW]
[ROW][C]111[/C][C]101.86[/C][C]102.282[/C][C]101.86[/C][C]0.422365[/C][C]-0.422365[/C][/ROW]
[ROW][C]112[/C][C]101.86[/C][C]102.189[/C][C]101.86[/C][C]0.328569[/C][C]-0.328569[/C][/ROW]
[ROW][C]113[/C][C]101.86[/C][C]102.095[/C][C]101.86[/C][C]0.234772[/C][C]-0.234772[/C][/ROW]
[ROW][C]114[/C][C]101.86[/C][C]102.001[/C][C]101.86[/C][C]0.140976[/C][C]-0.140976[/C][/ROW]
[ROW][C]115[/C][C]101.86[/C][C]NA[/C][C]NA[/C][C]0.0438002[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]101.86[/C][C]NA[/C][C]NA[/C][C]-0.0466165[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]101.86[/C][C]NA[/C][C]NA[/C][C]-0.140413[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]101.86[/C][C]NA[/C][C]NA[/C][C]-0.234209[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]101.86[/C][C]NA[/C][C]NA[/C][C]-0.328005[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]101.86[/C][C]NA[/C][C]NA[/C][C]-0.421802[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294912&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294912&T=1

As an alternative you can also use a QR Code:

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

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	92.46	NA	NA	-0.515598	NA
2	91.73	NA	NA	0.516161	NA
3	91.73	NA	NA	0.422365	NA
4	91.73	NA	NA	0.328569	NA
5	91.73	NA	NA	0.234772	NA
6	91.73	NA	NA	0.140976	NA
7	91.73	91.8042	91.7604	0.0438002	-0.0742168
8	91.73	91.4809	91.5275	-0.0466165	0.249117
9	91.73	90.9821	91.1225	-0.140413	0.747913
10	91.73	90.4833	90.7175	-0.234209	1.24671
11	91.73	89.9845	90.3125	-0.328005	1.74551
12	91.73	89.4857	89.9075	-0.421802	2.2443
13	91.73	88.9869	89.5025	-0.515598	2.7431
14	86.87	89.6137	89.0975	0.516161	-2.74366
15	86.87	89.1149	88.6925	0.422365	-2.24486
16	86.87	88.6161	88.2875	0.328569	-1.74607
17	86.87	88.1173	87.8825	0.234772	-1.24727
18	86.87	87.6185	87.4775	0.140976	-0.748476
19	86.87	87.1163	87.0725	0.0438002	-0.2463
20	86.87	86.9459	86.9925	-0.0466165	-0.0758835
21	86.87	87.0971	87.2375	-0.140413	-0.227087
22	86.87	87.2483	87.4825	-0.234209	-0.378291
23	86.87	87.3995	87.7275	-0.328005	-0.529495
24	86.87	87.5507	87.9725	-0.421802	-0.680698
25	86.87	87.7019	88.2175	-0.515598	-0.831902
26	89.81	88.9787	88.4625	0.516161	0.831339
27	89.81	89.1299	88.7075	0.422365	0.680135
28	89.81	89.2811	88.9525	0.328569	0.528931
29	89.81	89.4323	89.1975	0.234772	0.377728
30	89.81	89.5835	89.4425	0.140976	0.226524
31	89.81	89.7313	89.6875	0.0438002	0.0786998
32	89.81	89.9717	90.0183	-0.0466165	-0.161717
33	89.81	90.2946	90.435	-0.140413	-0.484587
34	89.81	90.6175	90.8517	-0.234209	-0.807458
35	89.81	90.9403	91.2683	-0.328005	-1.13033
36	89.81	91.2632	91.685	-0.421802	-1.4532
37	89.81	91.5861	92.1017	-0.515598	-1.77607
38	94.81	93.0345	92.5183	0.516161	1.77551
39	94.81	93.3574	92.935	0.422365	1.45264
40	94.81	93.6802	93.3517	0.328569	1.12976
41	94.81	94.0031	93.7683	0.234772	0.806894
42	94.81	94.326	94.185	0.140976	0.484024
43	94.81	94.6455	94.6017	0.0438002	0.164533
44	94.81	94.7717	94.8183	-0.0466165	0.0382832
45	94.81	94.6946	94.835	-0.140413	0.115413
46	94.81	94.6175	94.8517	-0.234209	0.192542
47	94.81	94.5403	94.8683	-0.328005	0.269672
48	94.81	94.4632	94.885	-0.421802	0.346802
49	94.81	94.3861	94.9017	-0.515598	0.423931
50	95.01	95.4345	94.9183	0.516161	-0.424495
51	95.01	95.3574	94.935	0.422365	-0.347365
52	95.01	95.2802	94.9517	0.328569	-0.270235
53	95.01	95.2031	94.9683	0.234772	-0.193106
54	95.01	95.126	94.985	0.140976	-0.115976
55	95.01	95.0455	95.0017	0.0438002	-0.0354668
56	95.01	94.9867	95.0333	-0.0466165	0.0232832
57	95.01	94.9396	95.08	-0.140413	0.0704128
58	95.01	94.8925	95.1267	-0.234209	0.117542
59	95.01	94.8453	95.1733	-0.328005	0.164672
60	95.01	94.7982	95.22	-0.421802	0.211802
61	95.01	94.7511	95.2667	-0.515598	0.258931
62	95.57	95.8295	95.3133	0.516161	-0.259495
63	95.57	95.7824	95.36	0.422365	-0.212365
64	95.57	95.7352	95.4067	0.328569	-0.165235
65	95.57	95.6881	95.4533	0.234772	-0.118106
66	95.57	95.641	95.5	0.140976	-0.0709761
67	95.57	95.5905	95.5467	0.0438002	-0.0204668
68	95.57	95.648	95.6946	-0.0466165	-0.0779668
69	95.57	95.8033	95.9438	-0.140413	-0.233337
70	95.57	95.9587	96.1929	-0.234209	-0.388708
71	95.57	96.1141	96.4421	-0.328005	-0.544078
72	95.57	96.2694	96.6912	-0.421802	-0.699448
73	95.57	96.4248	96.9404	-0.515598	-0.854819
74	98.56	97.7057	97.1896	0.516161	0.854255
75	98.56	97.8611	97.4388	0.422365	0.698885
76	98.56	98.0165	97.6879	0.328569	0.543515
77	98.56	98.1719	97.9371	0.234772	0.388144
78	98.56	98.3272	98.1862	0.140976	0.232774
79	98.56	98.4792	98.4354	0.0438002	0.0807832
80	98.56	98.5788	98.6254	-0.0466165	-0.0188002
81	98.56	98.6158	98.7563	-0.140413	-0.0558372
82	98.56	98.6529	98.8871	-0.234209	-0.0928742
83	98.56	98.6899	99.0179	-0.328005	-0.129911
84	98.56	98.7269	99.1488	-0.421802	-0.166948
85	98.56	98.764	99.2796	-0.515598	-0.203985
86	100.13	99.9266	99.4104	0.516161	0.203422
87	100.13	99.9636	99.5413	0.422365	0.166385
88	100.13	100.001	99.6721	0.328569	0.129348
89	100.13	100.038	99.8029	0.234772	0.092311
90	100.13	100.075	99.9338	0.140976	0.0552739
91	100.13	100.108	100.065	0.0438002	0.0216165
92	100.13	100.155	100.202	-0.0466165	-0.0254668
93	100.13	100.206	100.346	-0.140413	-0.0758372
94	100.13	100.256	100.49	-0.234209	-0.126208
95	100.13	100.307	100.635	-0.328005	-0.176578
96	100.13	100.357	100.779	-0.421802	-0.226948
97	100.13	100.407	100.923	-0.515598	-0.277319
98	101.86	101.583	101.067	0.516161	0.276755
99	101.86	101.634	101.211	0.422365	0.226385
100	101.86	101.684	101.355	0.328569	0.176015
101	101.86	101.734	101.5	0.234772	0.125644
102	101.86	101.785	101.644	0.140976	0.0752739
103	101.86	101.832	101.788	0.0438002	0.0282832
104	101.86	101.813	101.86	-0.0466165	0.0466165
105	101.86	101.72	101.86	-0.140413	0.140413
106	101.86	101.626	101.86	-0.234209	0.234209
107	101.86	101.532	101.86	-0.328005	0.328005
108	101.86	101.438	101.86	-0.421802	0.421802
109	101.86	101.344	101.86	-0.515598	0.515598
110	101.86	102.376	101.86	0.516161	-0.516161
111	101.86	102.282	101.86	0.422365	-0.422365
112	101.86	102.189	101.86	0.328569	-0.328569
113	101.86	102.095	101.86	0.234772	-0.234772
114	101.86	102.001	101.86	0.140976	-0.140976
115	101.86	NA	NA	0.0438002	NA
116	101.86	NA	NA	-0.0466165	NA
117	101.86	NA	NA	-0.140413	NA
118	101.86	NA	NA	-0.234209	NA
119	101.86	NA	NA	-0.328005	NA
120	101.86	NA	NA	-0.421802	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