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*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Thu, 15 Jan 2009 09:48:00 -0700

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/2009/Jan/15/t1232038134w2atfw8cyculixg.htm/, Retrieved Tue, 07 May 2024 11:23:18 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36885, Retrieved Tue, 07 May 2024 11:23:18 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

197

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

-     [Standard Deviation Plot] [standard deviatio...] [2009-01-08 21:49:18] [65364f12da24daf6c8f7985fc762862c]
- RMPD    [Classical Decomposition] [decompositie - te...] [2009-01-15 16:48:00] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D      [Classical Decomposition] [Opgave 9- oefenin...] [2009-01-15 19:15:06] [ca4e42c3236d1c0cb4de680f9dd82ba0] 
- RMPD      [Exponential Smoothing] [opg 10 oef 1 - Vo...] [2009-01-26 21:41:37] [65364f12da24daf6c8f7985fc762862c] 
- RMP       [Exponential Smoothing] [opg10 oef2 - volk...] [2009-01-26 21:46:42] [65364f12da24daf6c8f7985fc762862c] 

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Dataseries X:

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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	5 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 5 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36885&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36885&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36885&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	5 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	93.89	NA	NA	0.27686921296297	NA
2	93.36	NA	NA	0.468049768518513	NA
3	92.25	NA	NA	0.125063657407403	NA
4	91.07	NA	NA	-0.434450231481486	NA
5	90.93	NA	NA	-0.393061342592602	NA
6	90.68	NA	NA	-0.270422453703708	NA
7	90.65	90.7346469907407	90.7741666666667	-0.0395196759259296	-0.0846469907407226
8	90.6	90.6857581018519	90.3941666666667	0.291591435185195	-0.0857581018518658
9	90.02	90.2249247685185	90.045	0.179924768518526	-0.204924768518538
10	89.74	89.6465914351852	89.72375	-0.0771585648148104	0.0934085648148084
11	89.31	89.2740914351852	89.4108333333333	-0.136741898148144	0.0359085648148181
12	89.16	89.106105324074	89.09625	0.00985532407407281	0.0538946759259318
13	89.15	89.061869212963	88.785	0.27686921296297	0.0881307870370449
14	88.98	88.9451331018519	88.4770833333333	0.468049768518513	0.0348668981481524
15	88.25	88.3225636574074	88.1975	0.125063657407403	-0.0725636574074002
16	87.36	87.4872164351852	87.9216666666667	-0.434450231481486	-0.127216435185176
17	87.13	87.2365219907407	87.6295833333333	-0.393061342592602	-0.106521990740731
18	86.93	87.0808275462963	87.35125	-0.270422453703708	-0.150827546296284
19	86.93	87.0413136574074	87.0808333333333	-0.0395196759259296	-0.111313657407393
20	86.93	87.0965914351852	86.805	0.291591435185195	-0.166591435185182
21	86.98	86.7045081018519	86.5245833333333	0.179924768518526	0.275491898148147
22	86.16	86.1540914351852	86.23125	-0.0771585648148104	0.00590856481480273
23	85.88	85.7857581018519	85.9225	-0.136741898148144	0.094241898148141
24	85.91	85.627355324074	85.6175	0.00985532407407281	0.282644675925923
25	85.91	85.5939525462963	85.3170833333333	0.27686921296297	0.316047453703703
26	85.6	85.4834664351852	85.0154166666667	0.468049768518513	0.116533564814802
27	84.9	84.8121469907407	84.6870833333333	0.125063657407403	0.0878530092592626
28	83.67	83.9105497685185	84.345	-0.434450231481486	-0.240549768518520
29	83.41	83.6127719907407	84.0058333333333	-0.393061342592602	-0.202771990740743
30	83.33	83.3783275462963	83.64875	-0.270422453703708	-0.0483275462962922
31	83.32	83.2433969907407	83.2829166666667	-0.0395196759259296	0.0766030092592445
32	83.3	83.2228414351852	82.93125	0.291591435185195	0.077158564814809
33	82.73	82.8170081018519	82.6370833333333	0.179924768518526	-0.0870081018518505
34	82.2	82.3565914351852	82.43375	-0.0771585648148104	-0.156591435185177
35	81.7	82.1536747685185	82.2904166666666	-0.136741898148144	-0.453674768518496
36	81.52	82.169855324074	82.16	0.00985532407407281	-0.649855324074068
37	81.52	82.3072858796296	82.0304166666667	0.27686921296297	-0.787285879629621
38	81.55	82.4205497685185	81.9525	0.468049768518513	-0.870549768518515
39	81.89	82.0808969907408	81.9558333333333	0.125063657407403	-0.190896990740754
40	81.8	81.5647164351852	81.9991666666667	-0.434450231481486	0.235283564814821
41	81.84	81.678605324074	82.0716666666667	-0.393061342592602	0.161394675925933
42	81.77	81.9004108796296	82.1708333333333	-0.270422453703708	-0.130410879629636
43	81.77	82.237980324074	82.2775	-0.0395196759259296	-0.467980324074063
44	82.98	82.6820081018518	82.3904166666667	0.291591435185195	0.297991898148155
45	83.13	82.6307581018519	82.4508333333333	0.179924768518526	0.499241898148142
46	82.84	82.3678414351852	82.445	-0.0771585648148104	0.472158564814819
47	82.8	82.2832581018519	82.42	-0.136741898148144	0.51674189814814
48	82.8	82.3881886574074	82.3783333333333	0.00985532407407281	0.4118113425926
49	82.8	82.6085358796296	82.3316666666667	0.27686921296297	0.191464120370370
50	82.98	82.7034664351852	82.2354166666667	0.468049768518513	0.276533564814827
51	81.91	82.1992303240741	82.0741666666667	0.125063657407403	-0.289230324074097
52	81.64	81.4559664351852	81.8904166666667	-0.434450231481486	0.184033564814811
53	81.4	81.3061053240741	81.6991666666667	-0.393061342592602	0.0938946759259238
54	81.21	81.238744212963	81.5091666666667	-0.270422453703708	-0.0287442129629767
55	81.21	81.2813136574074	81.3208333333333	-0.0395196759259296	-0.0713136574074156
56	81.23	81.4240914351852	81.1325	0.291591435185195	-0.194091435185172
57	81.01	81.1649247685185	80.985	0.179924768518526	-0.154924768518512
58	80.55	80.8011747685185	80.8783333333333	-0.0771585648148104	-0.251174768518524
59	80.5	80.6249247685185	80.7616666666667	-0.136741898148144	-0.124924768518511
60	80.54	80.643605324074	80.63375	0.00985532407407281	-0.103605324074067
61	80.54	80.7814525462963	80.5045833333333	0.27686921296297	-0.241452546296287
62	80.72	80.8205497685185	80.3525	0.468049768518513	-0.100549768518519
63	80.63	80.2983969907407	80.1733333333333	0.125063657407403	0.331603009259254
64	80.36	79.5688831018518	80.0033333333333	-0.434450231481486	0.791116898148161
65	79.88	79.4456886574074	79.83875	-0.393061342592602	0.434311342592594
66	79.66	79.3816608796296	79.6520833333334	-0.270422453703708	0.278339120370347
67	79.66	79.411730324074	79.45125	-0.0395196759259296	0.248269675925926
68	79.13	79.5320081018519	79.2404166666667	0.291591435185195	-0.402008101851862
69	78.81	79.1561747685185	78.97625	0.179924768518526	-0.346174768518537
70	78.67	78.5207581018519	78.5979166666667	-0.0771585648148104	0.149241898148148
71	78.43	78.0332581018519	78.17	-0.136741898148144	0.39674189814815
72	78.13	77.7865219907407	77.7766666666667	0.00985532407407281	0.343478009259272
73	78.13	77.6735358796296	77.3966666666666	0.27686921296297	0.456464120370384
74	78.07	77.5034664351852	77.0354166666667	0.468049768518513	0.566533564814819
75	76.94	76.7833969907407	76.6583333333333	0.125063657407403	0.156603009259257
76	74.97	75.7892997685185	76.22375	-0.434450231481486	-0.819299768518505
77	75	75.3569386574074	75.75	-0.393061342592602	-0.356938657407412
78	75.1	74.9966608796296	75.2670833333333	-0.270422453703708	0.103339120370364
79	75.1	74.7508969907407	74.7904166666667	-0.0395196759259296	0.349103009259267
80	75.02	74.6090914351852	74.3175	0.291591435185195	0.410908564814804
81	73.87	74.0332581018519	73.8533333333333	0.179924768518526	-0.163258101851866
82	73.18	73.3761747685185	73.4533333333333	-0.0771585648148104	-0.196174768518517
83	72.55	72.9557581018519	73.0925	-0.136741898148144	-0.405758101851859
84	72.42	72.681105324074	72.67125	0.00985532407407281	-0.261105324074066
85	72.4	72.4872858796296	72.2104166666667	0.27686921296297	-0.0872858796296327
86	72.45	72.2155497685185	71.7475	0.468049768518513	0.234450231481489
87	71.42	71.4058969907407	71.2808333333333	0.125063657407403	0.0141030092592587
88	70.89	70.3488831018518	70.7833333333333	-0.434450231481486	0.541116898148161
89	70.42	69.874855324074	70.2679166666667	-0.393061342592602	0.54514467592594
90	69.57	69.4970775462963	69.7675	-0.270422453703708	0.072922453703697
91	69.57	NA	NA	-0.0395196759259296	NA
92	69.44	NA	NA	0.291591435185195	NA
93	68.25	NA	NA	0.179924768518526	NA
94	66.86	NA	NA	-0.0771585648148104	NA
95	66.5	NA	NA	-0.136741898148144	NA
96	66.46	NA	NA	0.00985532407407281	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 93.89 & NA & NA & 0.27686921296297 & NA \tabularnewline
2 & 93.36 & NA & NA & 0.468049768518513 & NA \tabularnewline
3 & 92.25 & NA & NA & 0.125063657407403 & NA \tabularnewline
4 & 91.07 & NA & NA & -0.434450231481486 & NA \tabularnewline
5 & 90.93 & NA & NA & -0.393061342592602 & NA \tabularnewline
6 & 90.68 & NA & NA & -0.270422453703708 & NA \tabularnewline
7 & 90.65 & 90.7346469907407 & 90.7741666666667 & -0.0395196759259296 & -0.0846469907407226 \tabularnewline
8 & 90.6 & 90.6857581018519 & 90.3941666666667 & 0.291591435185195 & -0.0857581018518658 \tabularnewline
9 & 90.02 & 90.2249247685185 & 90.045 & 0.179924768518526 & -0.204924768518538 \tabularnewline
10 & 89.74 & 89.6465914351852 & 89.72375 & -0.0771585648148104 & 0.0934085648148084 \tabularnewline
11 & 89.31 & 89.2740914351852 & 89.4108333333333 & -0.136741898148144 & 0.0359085648148181 \tabularnewline
12 & 89.16 & 89.106105324074 & 89.09625 & 0.00985532407407281 & 0.0538946759259318 \tabularnewline
13 & 89.15 & 89.061869212963 & 88.785 & 0.27686921296297 & 0.0881307870370449 \tabularnewline
14 & 88.98 & 88.9451331018519 & 88.4770833333333 & 0.468049768518513 & 0.0348668981481524 \tabularnewline
15 & 88.25 & 88.3225636574074 & 88.1975 & 0.125063657407403 & -0.0725636574074002 \tabularnewline
16 & 87.36 & 87.4872164351852 & 87.9216666666667 & -0.434450231481486 & -0.127216435185176 \tabularnewline
17 & 87.13 & 87.2365219907407 & 87.6295833333333 & -0.393061342592602 & -0.106521990740731 \tabularnewline
18 & 86.93 & 87.0808275462963 & 87.35125 & -0.270422453703708 & -0.150827546296284 \tabularnewline
19 & 86.93 & 87.0413136574074 & 87.0808333333333 & -0.0395196759259296 & -0.111313657407393 \tabularnewline
20 & 86.93 & 87.0965914351852 & 86.805 & 0.291591435185195 & -0.166591435185182 \tabularnewline
21 & 86.98 & 86.7045081018519 & 86.5245833333333 & 0.179924768518526 & 0.275491898148147 \tabularnewline
22 & 86.16 & 86.1540914351852 & 86.23125 & -0.0771585648148104 & 0.00590856481480273 \tabularnewline
23 & 85.88 & 85.7857581018519 & 85.9225 & -0.136741898148144 & 0.094241898148141 \tabularnewline
24 & 85.91 & 85.627355324074 & 85.6175 & 0.00985532407407281 & 0.282644675925923 \tabularnewline
25 & 85.91 & 85.5939525462963 & 85.3170833333333 & 0.27686921296297 & 0.316047453703703 \tabularnewline
26 & 85.6 & 85.4834664351852 & 85.0154166666667 & 0.468049768518513 & 0.116533564814802 \tabularnewline
27 & 84.9 & 84.8121469907407 & 84.6870833333333 & 0.125063657407403 & 0.0878530092592626 \tabularnewline
28 & 83.67 & 83.9105497685185 & 84.345 & -0.434450231481486 & -0.240549768518520 \tabularnewline
29 & 83.41 & 83.6127719907407 & 84.0058333333333 & -0.393061342592602 & -0.202771990740743 \tabularnewline
30 & 83.33 & 83.3783275462963 & 83.64875 & -0.270422453703708 & -0.0483275462962922 \tabularnewline
31 & 83.32 & 83.2433969907407 & 83.2829166666667 & -0.0395196759259296 & 0.0766030092592445 \tabularnewline
32 & 83.3 & 83.2228414351852 & 82.93125 & 0.291591435185195 & 0.077158564814809 \tabularnewline
33 & 82.73 & 82.8170081018519 & 82.6370833333333 & 0.179924768518526 & -0.0870081018518505 \tabularnewline
34 & 82.2 & 82.3565914351852 & 82.43375 & -0.0771585648148104 & -0.156591435185177 \tabularnewline
35 & 81.7 & 82.1536747685185 & 82.2904166666666 & -0.136741898148144 & -0.453674768518496 \tabularnewline
36 & 81.52 & 82.169855324074 & 82.16 & 0.00985532407407281 & -0.649855324074068 \tabularnewline
37 & 81.52 & 82.3072858796296 & 82.0304166666667 & 0.27686921296297 & -0.787285879629621 \tabularnewline
38 & 81.55 & 82.4205497685185 & 81.9525 & 0.468049768518513 & -0.870549768518515 \tabularnewline
39 & 81.89 & 82.0808969907408 & 81.9558333333333 & 0.125063657407403 & -0.190896990740754 \tabularnewline
40 & 81.8 & 81.5647164351852 & 81.9991666666667 & -0.434450231481486 & 0.235283564814821 \tabularnewline
41 & 81.84 & 81.678605324074 & 82.0716666666667 & -0.393061342592602 & 0.161394675925933 \tabularnewline
42 & 81.77 & 81.9004108796296 & 82.1708333333333 & -0.270422453703708 & -0.130410879629636 \tabularnewline
43 & 81.77 & 82.237980324074 & 82.2775 & -0.0395196759259296 & -0.467980324074063 \tabularnewline
44 & 82.98 & 82.6820081018518 & 82.3904166666667 & 0.291591435185195 & 0.297991898148155 \tabularnewline
45 & 83.13 & 82.6307581018519 & 82.4508333333333 & 0.179924768518526 & 0.499241898148142 \tabularnewline
46 & 82.84 & 82.3678414351852 & 82.445 & -0.0771585648148104 & 0.472158564814819 \tabularnewline
47 & 82.8 & 82.2832581018519 & 82.42 & -0.136741898148144 & 0.51674189814814 \tabularnewline
48 & 82.8 & 82.3881886574074 & 82.3783333333333 & 0.00985532407407281 & 0.4118113425926 \tabularnewline
49 & 82.8 & 82.6085358796296 & 82.3316666666667 & 0.27686921296297 & 0.191464120370370 \tabularnewline
50 & 82.98 & 82.7034664351852 & 82.2354166666667 & 0.468049768518513 & 0.276533564814827 \tabularnewline
51 & 81.91 & 82.1992303240741 & 82.0741666666667 & 0.125063657407403 & -0.289230324074097 \tabularnewline
52 & 81.64 & 81.4559664351852 & 81.8904166666667 & -0.434450231481486 & 0.184033564814811 \tabularnewline
53 & 81.4 & 81.3061053240741 & 81.6991666666667 & -0.393061342592602 & 0.0938946759259238 \tabularnewline
54 & 81.21 & 81.238744212963 & 81.5091666666667 & -0.270422453703708 & -0.0287442129629767 \tabularnewline
55 & 81.21 & 81.2813136574074 & 81.3208333333333 & -0.0395196759259296 & -0.0713136574074156 \tabularnewline
56 & 81.23 & 81.4240914351852 & 81.1325 & 0.291591435185195 & -0.194091435185172 \tabularnewline
57 & 81.01 & 81.1649247685185 & 80.985 & 0.179924768518526 & -0.154924768518512 \tabularnewline
58 & 80.55 & 80.8011747685185 & 80.8783333333333 & -0.0771585648148104 & -0.251174768518524 \tabularnewline
59 & 80.5 & 80.6249247685185 & 80.7616666666667 & -0.136741898148144 & -0.124924768518511 \tabularnewline
60 & 80.54 & 80.643605324074 & 80.63375 & 0.00985532407407281 & -0.103605324074067 \tabularnewline
61 & 80.54 & 80.7814525462963 & 80.5045833333333 & 0.27686921296297 & -0.241452546296287 \tabularnewline
62 & 80.72 & 80.8205497685185 & 80.3525 & 0.468049768518513 & -0.100549768518519 \tabularnewline
63 & 80.63 & 80.2983969907407 & 80.1733333333333 & 0.125063657407403 & 0.331603009259254 \tabularnewline
64 & 80.36 & 79.5688831018518 & 80.0033333333333 & -0.434450231481486 & 0.791116898148161 \tabularnewline
65 & 79.88 & 79.4456886574074 & 79.83875 & -0.393061342592602 & 0.434311342592594 \tabularnewline
66 & 79.66 & 79.3816608796296 & 79.6520833333334 & -0.270422453703708 & 0.278339120370347 \tabularnewline
67 & 79.66 & 79.411730324074 & 79.45125 & -0.0395196759259296 & 0.248269675925926 \tabularnewline
68 & 79.13 & 79.5320081018519 & 79.2404166666667 & 0.291591435185195 & -0.402008101851862 \tabularnewline
69 & 78.81 & 79.1561747685185 & 78.97625 & 0.179924768518526 & -0.346174768518537 \tabularnewline
70 & 78.67 & 78.5207581018519 & 78.5979166666667 & -0.0771585648148104 & 0.149241898148148 \tabularnewline
71 & 78.43 & 78.0332581018519 & 78.17 & -0.136741898148144 & 0.39674189814815 \tabularnewline
72 & 78.13 & 77.7865219907407 & 77.7766666666667 & 0.00985532407407281 & 0.343478009259272 \tabularnewline
73 & 78.13 & 77.6735358796296 & 77.3966666666666 & 0.27686921296297 & 0.456464120370384 \tabularnewline
74 & 78.07 & 77.5034664351852 & 77.0354166666667 & 0.468049768518513 & 0.566533564814819 \tabularnewline
75 & 76.94 & 76.7833969907407 & 76.6583333333333 & 0.125063657407403 & 0.156603009259257 \tabularnewline
76 & 74.97 & 75.7892997685185 & 76.22375 & -0.434450231481486 & -0.819299768518505 \tabularnewline
77 & 75 & 75.3569386574074 & 75.75 & -0.393061342592602 & -0.356938657407412 \tabularnewline
78 & 75.1 & 74.9966608796296 & 75.2670833333333 & -0.270422453703708 & 0.103339120370364 \tabularnewline
79 & 75.1 & 74.7508969907407 & 74.7904166666667 & -0.0395196759259296 & 0.349103009259267 \tabularnewline
80 & 75.02 & 74.6090914351852 & 74.3175 & 0.291591435185195 & 0.410908564814804 \tabularnewline
81 & 73.87 & 74.0332581018519 & 73.8533333333333 & 0.179924768518526 & -0.163258101851866 \tabularnewline
82 & 73.18 & 73.3761747685185 & 73.4533333333333 & -0.0771585648148104 & -0.196174768518517 \tabularnewline
83 & 72.55 & 72.9557581018519 & 73.0925 & -0.136741898148144 & -0.405758101851859 \tabularnewline
84 & 72.42 & 72.681105324074 & 72.67125 & 0.00985532407407281 & -0.261105324074066 \tabularnewline
85 & 72.4 & 72.4872858796296 & 72.2104166666667 & 0.27686921296297 & -0.0872858796296327 \tabularnewline
86 & 72.45 & 72.2155497685185 & 71.7475 & 0.468049768518513 & 0.234450231481489 \tabularnewline
87 & 71.42 & 71.4058969907407 & 71.2808333333333 & 0.125063657407403 & 0.0141030092592587 \tabularnewline
88 & 70.89 & 70.3488831018518 & 70.7833333333333 & -0.434450231481486 & 0.541116898148161 \tabularnewline
89 & 70.42 & 69.874855324074 & 70.2679166666667 & -0.393061342592602 & 0.54514467592594 \tabularnewline
90 & 69.57 & 69.4970775462963 & 69.7675 & -0.270422453703708 & 0.072922453703697 \tabularnewline
91 & 69.57 & NA & NA & -0.0395196759259296 & NA \tabularnewline
92 & 69.44 & NA & NA & 0.291591435185195 & NA \tabularnewline
93 & 68.25 & NA & NA & 0.179924768518526 & NA \tabularnewline
94 & 66.86 & NA & NA & -0.0771585648148104 & NA \tabularnewline
95 & 66.5 & NA & NA & -0.136741898148144 & NA \tabularnewline
96 & 66.46 & NA & NA & 0.00985532407407281 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36885&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]93.89[/C][C]NA[/C][C]NA[/C][C]0.27686921296297[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]93.36[/C][C]NA[/C][C]NA[/C][C]0.468049768518513[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]92.25[/C][C]NA[/C][C]NA[/C][C]0.125063657407403[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]91.07[/C][C]NA[/C][C]NA[/C][C]-0.434450231481486[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]90.93[/C][C]NA[/C][C]NA[/C][C]-0.393061342592602[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]90.68[/C][C]NA[/C][C]NA[/C][C]-0.270422453703708[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]90.65[/C][C]90.7346469907407[/C][C]90.7741666666667[/C][C]-0.0395196759259296[/C][C]-0.0846469907407226[/C][/ROW]
[ROW][C]8[/C][C]90.6[/C][C]90.6857581018519[/C][C]90.3941666666667[/C][C]0.291591435185195[/C][C]-0.0857581018518658[/C][/ROW]
[ROW][C]9[/C][C]90.02[/C][C]90.2249247685185[/C][C]90.045[/C][C]0.179924768518526[/C][C]-0.204924768518538[/C][/ROW]
[ROW][C]10[/C][C]89.74[/C][C]89.6465914351852[/C][C]89.72375[/C][C]-0.0771585648148104[/C][C]0.0934085648148084[/C][/ROW]
[ROW][C]11[/C][C]89.31[/C][C]89.2740914351852[/C][C]89.4108333333333[/C][C]-0.136741898148144[/C][C]0.0359085648148181[/C][/ROW]
[ROW][C]12[/C][C]89.16[/C][C]89.106105324074[/C][C]89.09625[/C][C]0.00985532407407281[/C][C]0.0538946759259318[/C][/ROW]
[ROW][C]13[/C][C]89.15[/C][C]89.061869212963[/C][C]88.785[/C][C]0.27686921296297[/C][C]0.0881307870370449[/C][/ROW]
[ROW][C]14[/C][C]88.98[/C][C]88.9451331018519[/C][C]88.4770833333333[/C][C]0.468049768518513[/C][C]0.0348668981481524[/C][/ROW]
[ROW][C]15[/C][C]88.25[/C][C]88.3225636574074[/C][C]88.1975[/C][C]0.125063657407403[/C][C]-0.0725636574074002[/C][/ROW]
[ROW][C]16[/C][C]87.36[/C][C]87.4872164351852[/C][C]87.9216666666667[/C][C]-0.434450231481486[/C][C]-0.127216435185176[/C][/ROW]
[ROW][C]17[/C][C]87.13[/C][C]87.2365219907407[/C][C]87.6295833333333[/C][C]-0.393061342592602[/C][C]-0.106521990740731[/C][/ROW]
[ROW][C]18[/C][C]86.93[/C][C]87.0808275462963[/C][C]87.35125[/C][C]-0.270422453703708[/C][C]-0.150827546296284[/C][/ROW]
[ROW][C]19[/C][C]86.93[/C][C]87.0413136574074[/C][C]87.0808333333333[/C][C]-0.0395196759259296[/C][C]-0.111313657407393[/C][/ROW]
[ROW][C]20[/C][C]86.93[/C][C]87.0965914351852[/C][C]86.805[/C][C]0.291591435185195[/C][C]-0.166591435185182[/C][/ROW]
[ROW][C]21[/C][C]86.98[/C][C]86.7045081018519[/C][C]86.5245833333333[/C][C]0.179924768518526[/C][C]0.275491898148147[/C][/ROW]
[ROW][C]22[/C][C]86.16[/C][C]86.1540914351852[/C][C]86.23125[/C][C]-0.0771585648148104[/C][C]0.00590856481480273[/C][/ROW]
[ROW][C]23[/C][C]85.88[/C][C]85.7857581018519[/C][C]85.9225[/C][C]-0.136741898148144[/C][C]0.094241898148141[/C][/ROW]
[ROW][C]24[/C][C]85.91[/C][C]85.627355324074[/C][C]85.6175[/C][C]0.00985532407407281[/C][C]0.282644675925923[/C][/ROW]
[ROW][C]25[/C][C]85.91[/C][C]85.5939525462963[/C][C]85.3170833333333[/C][C]0.27686921296297[/C][C]0.316047453703703[/C][/ROW]
[ROW][C]26[/C][C]85.6[/C][C]85.4834664351852[/C][C]85.0154166666667[/C][C]0.468049768518513[/C][C]0.116533564814802[/C][/ROW]
[ROW][C]27[/C][C]84.9[/C][C]84.8121469907407[/C][C]84.6870833333333[/C][C]0.125063657407403[/C][C]0.0878530092592626[/C][/ROW]
[ROW][C]28[/C][C]83.67[/C][C]83.9105497685185[/C][C]84.345[/C][C]-0.434450231481486[/C][C]-0.240549768518520[/C][/ROW]
[ROW][C]29[/C][C]83.41[/C][C]83.6127719907407[/C][C]84.0058333333333[/C][C]-0.393061342592602[/C][C]-0.202771990740743[/C][/ROW]
[ROW][C]30[/C][C]83.33[/C][C]83.3783275462963[/C][C]83.64875[/C][C]-0.270422453703708[/C][C]-0.0483275462962922[/C][/ROW]
[ROW][C]31[/C][C]83.32[/C][C]83.2433969907407[/C][C]83.2829166666667[/C][C]-0.0395196759259296[/C][C]0.0766030092592445[/C][/ROW]
[ROW][C]32[/C][C]83.3[/C][C]83.2228414351852[/C][C]82.93125[/C][C]0.291591435185195[/C][C]0.077158564814809[/C][/ROW]
[ROW][C]33[/C][C]82.73[/C][C]82.8170081018519[/C][C]82.6370833333333[/C][C]0.179924768518526[/C][C]-0.0870081018518505[/C][/ROW]
[ROW][C]34[/C][C]82.2[/C][C]82.3565914351852[/C][C]82.43375[/C][C]-0.0771585648148104[/C][C]-0.156591435185177[/C][/ROW]
[ROW][C]35[/C][C]81.7[/C][C]82.1536747685185[/C][C]82.2904166666666[/C][C]-0.136741898148144[/C][C]-0.453674768518496[/C][/ROW]
[ROW][C]36[/C][C]81.52[/C][C]82.169855324074[/C][C]82.16[/C][C]0.00985532407407281[/C][C]-0.649855324074068[/C][/ROW]
[ROW][C]37[/C][C]81.52[/C][C]82.3072858796296[/C][C]82.0304166666667[/C][C]0.27686921296297[/C][C]-0.787285879629621[/C][/ROW]
[ROW][C]38[/C][C]81.55[/C][C]82.4205497685185[/C][C]81.9525[/C][C]0.468049768518513[/C][C]-0.870549768518515[/C][/ROW]
[ROW][C]39[/C][C]81.89[/C][C]82.0808969907408[/C][C]81.9558333333333[/C][C]0.125063657407403[/C][C]-0.190896990740754[/C][/ROW]
[ROW][C]40[/C][C]81.8[/C][C]81.5647164351852[/C][C]81.9991666666667[/C][C]-0.434450231481486[/C][C]0.235283564814821[/C][/ROW]
[ROW][C]41[/C][C]81.84[/C][C]81.678605324074[/C][C]82.0716666666667[/C][C]-0.393061342592602[/C][C]0.161394675925933[/C][/ROW]
[ROW][C]42[/C][C]81.77[/C][C]81.9004108796296[/C][C]82.1708333333333[/C][C]-0.270422453703708[/C][C]-0.130410879629636[/C][/ROW]
[ROW][C]43[/C][C]81.77[/C][C]82.237980324074[/C][C]82.2775[/C][C]-0.0395196759259296[/C][C]-0.467980324074063[/C][/ROW]
[ROW][C]44[/C][C]82.98[/C][C]82.6820081018518[/C][C]82.3904166666667[/C][C]0.291591435185195[/C][C]0.297991898148155[/C][/ROW]
[ROW][C]45[/C][C]83.13[/C][C]82.6307581018519[/C][C]82.4508333333333[/C][C]0.179924768518526[/C][C]0.499241898148142[/C][/ROW]
[ROW][C]46[/C][C]82.84[/C][C]82.3678414351852[/C][C]82.445[/C][C]-0.0771585648148104[/C][C]0.472158564814819[/C][/ROW]
[ROW][C]47[/C][C]82.8[/C][C]82.2832581018519[/C][C]82.42[/C][C]-0.136741898148144[/C][C]0.51674189814814[/C][/ROW]
[ROW][C]48[/C][C]82.8[/C][C]82.3881886574074[/C][C]82.3783333333333[/C][C]0.00985532407407281[/C][C]0.4118113425926[/C][/ROW]
[ROW][C]49[/C][C]82.8[/C][C]82.6085358796296[/C][C]82.3316666666667[/C][C]0.27686921296297[/C][C]0.191464120370370[/C][/ROW]
[ROW][C]50[/C][C]82.98[/C][C]82.7034664351852[/C][C]82.2354166666667[/C][C]0.468049768518513[/C][C]0.276533564814827[/C][/ROW]
[ROW][C]51[/C][C]81.91[/C][C]82.1992303240741[/C][C]82.0741666666667[/C][C]0.125063657407403[/C][C]-0.289230324074097[/C][/ROW]
[ROW][C]52[/C][C]81.64[/C][C]81.4559664351852[/C][C]81.8904166666667[/C][C]-0.434450231481486[/C][C]0.184033564814811[/C][/ROW]
[ROW][C]53[/C][C]81.4[/C][C]81.3061053240741[/C][C]81.6991666666667[/C][C]-0.393061342592602[/C][C]0.0938946759259238[/C][/ROW]
[ROW][C]54[/C][C]81.21[/C][C]81.238744212963[/C][C]81.5091666666667[/C][C]-0.270422453703708[/C][C]-0.0287442129629767[/C][/ROW]
[ROW][C]55[/C][C]81.21[/C][C]81.2813136574074[/C][C]81.3208333333333[/C][C]-0.0395196759259296[/C][C]-0.0713136574074156[/C][/ROW]
[ROW][C]56[/C][C]81.23[/C][C]81.4240914351852[/C][C]81.1325[/C][C]0.291591435185195[/C][C]-0.194091435185172[/C][/ROW]
[ROW][C]57[/C][C]81.01[/C][C]81.1649247685185[/C][C]80.985[/C][C]0.179924768518526[/C][C]-0.154924768518512[/C][/ROW]
[ROW][C]58[/C][C]80.55[/C][C]80.8011747685185[/C][C]80.8783333333333[/C][C]-0.0771585648148104[/C][C]-0.251174768518524[/C][/ROW]
[ROW][C]59[/C][C]80.5[/C][C]80.6249247685185[/C][C]80.7616666666667[/C][C]-0.136741898148144[/C][C]-0.124924768518511[/C][/ROW]
[ROW][C]60[/C][C]80.54[/C][C]80.643605324074[/C][C]80.63375[/C][C]0.00985532407407281[/C][C]-0.103605324074067[/C][/ROW]
[ROW][C]61[/C][C]80.54[/C][C]80.7814525462963[/C][C]80.5045833333333[/C][C]0.27686921296297[/C][C]-0.241452546296287[/C][/ROW]
[ROW][C]62[/C][C]80.72[/C][C]80.8205497685185[/C][C]80.3525[/C][C]0.468049768518513[/C][C]-0.100549768518519[/C][/ROW]
[ROW][C]63[/C][C]80.63[/C][C]80.2983969907407[/C][C]80.1733333333333[/C][C]0.125063657407403[/C][C]0.331603009259254[/C][/ROW]
[ROW][C]64[/C][C]80.36[/C][C]79.5688831018518[/C][C]80.0033333333333[/C][C]-0.434450231481486[/C][C]0.791116898148161[/C][/ROW]
[ROW][C]65[/C][C]79.88[/C][C]79.4456886574074[/C][C]79.83875[/C][C]-0.393061342592602[/C][C]0.434311342592594[/C][/ROW]
[ROW][C]66[/C][C]79.66[/C][C]79.3816608796296[/C][C]79.6520833333334[/C][C]-0.270422453703708[/C][C]0.278339120370347[/C][/ROW]
[ROW][C]67[/C][C]79.66[/C][C]79.411730324074[/C][C]79.45125[/C][C]-0.0395196759259296[/C][C]0.248269675925926[/C][/ROW]
[ROW][C]68[/C][C]79.13[/C][C]79.5320081018519[/C][C]79.2404166666667[/C][C]0.291591435185195[/C][C]-0.402008101851862[/C][/ROW]
[ROW][C]69[/C][C]78.81[/C][C]79.1561747685185[/C][C]78.97625[/C][C]0.179924768518526[/C][C]-0.346174768518537[/C][/ROW]
[ROW][C]70[/C][C]78.67[/C][C]78.5207581018519[/C][C]78.5979166666667[/C][C]-0.0771585648148104[/C][C]0.149241898148148[/C][/ROW]
[ROW][C]71[/C][C]78.43[/C][C]78.0332581018519[/C][C]78.17[/C][C]-0.136741898148144[/C][C]0.39674189814815[/C][/ROW]
[ROW][C]72[/C][C]78.13[/C][C]77.7865219907407[/C][C]77.7766666666667[/C][C]0.00985532407407281[/C][C]0.343478009259272[/C][/ROW]
[ROW][C]73[/C][C]78.13[/C][C]77.6735358796296[/C][C]77.3966666666666[/C][C]0.27686921296297[/C][C]0.456464120370384[/C][/ROW]
[ROW][C]74[/C][C]78.07[/C][C]77.5034664351852[/C][C]77.0354166666667[/C][C]0.468049768518513[/C][C]0.566533564814819[/C][/ROW]
[ROW][C]75[/C][C]76.94[/C][C]76.7833969907407[/C][C]76.6583333333333[/C][C]0.125063657407403[/C][C]0.156603009259257[/C][/ROW]
[ROW][C]76[/C][C]74.97[/C][C]75.7892997685185[/C][C]76.22375[/C][C]-0.434450231481486[/C][C]-0.819299768518505[/C][/ROW]
[ROW][C]77[/C][C]75[/C][C]75.3569386574074[/C][C]75.75[/C][C]-0.393061342592602[/C][C]-0.356938657407412[/C][/ROW]
[ROW][C]78[/C][C]75.1[/C][C]74.9966608796296[/C][C]75.2670833333333[/C][C]-0.270422453703708[/C][C]0.103339120370364[/C][/ROW]
[ROW][C]79[/C][C]75.1[/C][C]74.7508969907407[/C][C]74.7904166666667[/C][C]-0.0395196759259296[/C][C]0.349103009259267[/C][/ROW]
[ROW][C]80[/C][C]75.02[/C][C]74.6090914351852[/C][C]74.3175[/C][C]0.291591435185195[/C][C]0.410908564814804[/C][/ROW]
[ROW][C]81[/C][C]73.87[/C][C]74.0332581018519[/C][C]73.8533333333333[/C][C]0.179924768518526[/C][C]-0.163258101851866[/C][/ROW]
[ROW][C]82[/C][C]73.18[/C][C]73.3761747685185[/C][C]73.4533333333333[/C][C]-0.0771585648148104[/C][C]-0.196174768518517[/C][/ROW]
[ROW][C]83[/C][C]72.55[/C][C]72.9557581018519[/C][C]73.0925[/C][C]-0.136741898148144[/C][C]-0.405758101851859[/C][/ROW]
[ROW][C]84[/C][C]72.42[/C][C]72.681105324074[/C][C]72.67125[/C][C]0.00985532407407281[/C][C]-0.261105324074066[/C][/ROW]
[ROW][C]85[/C][C]72.4[/C][C]72.4872858796296[/C][C]72.2104166666667[/C][C]0.27686921296297[/C][C]-0.0872858796296327[/C][/ROW]
[ROW][C]86[/C][C]72.45[/C][C]72.2155497685185[/C][C]71.7475[/C][C]0.468049768518513[/C][C]0.234450231481489[/C][/ROW]
[ROW][C]87[/C][C]71.42[/C][C]71.4058969907407[/C][C]71.2808333333333[/C][C]0.125063657407403[/C][C]0.0141030092592587[/C][/ROW]
[ROW][C]88[/C][C]70.89[/C][C]70.3488831018518[/C][C]70.7833333333333[/C][C]-0.434450231481486[/C][C]0.541116898148161[/C][/ROW]
[ROW][C]89[/C][C]70.42[/C][C]69.874855324074[/C][C]70.2679166666667[/C][C]-0.393061342592602[/C][C]0.54514467592594[/C][/ROW]
[ROW][C]90[/C][C]69.57[/C][C]69.4970775462963[/C][C]69.7675[/C][C]-0.270422453703708[/C][C]0.072922453703697[/C][/ROW]
[ROW][C]91[/C][C]69.57[/C][C]NA[/C][C]NA[/C][C]-0.0395196759259296[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]69.44[/C][C]NA[/C][C]NA[/C][C]0.291591435185195[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]68.25[/C][C]NA[/C][C]NA[/C][C]0.179924768518526[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]66.86[/C][C]NA[/C][C]NA[/C][C]-0.0771585648148104[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]66.5[/C][C]NA[/C][C]NA[/C][C]-0.136741898148144[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]66.46[/C][C]NA[/C][C]NA[/C][C]0.00985532407407281[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36885&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36885&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	93.89	NA	NA	0.27686921296297	NA
2	93.36	NA	NA	0.468049768518513	NA
3	92.25	NA	NA	0.125063657407403	NA
4	91.07	NA	NA	-0.434450231481486	NA
5	90.93	NA	NA	-0.393061342592602	NA
6	90.68	NA	NA	-0.270422453703708	NA
7	90.65	90.7346469907407	90.7741666666667	-0.0395196759259296	-0.0846469907407226
8	90.6	90.6857581018519	90.3941666666667	0.291591435185195	-0.0857581018518658
9	90.02	90.2249247685185	90.045	0.179924768518526	-0.204924768518538
10	89.74	89.6465914351852	89.72375	-0.0771585648148104	0.0934085648148084
11	89.31	89.2740914351852	89.4108333333333	-0.136741898148144	0.0359085648148181
12	89.16	89.106105324074	89.09625	0.00985532407407281	0.0538946759259318
13	89.15	89.061869212963	88.785	0.27686921296297	0.0881307870370449
14	88.98	88.9451331018519	88.4770833333333	0.468049768518513	0.0348668981481524
15	88.25	88.3225636574074	88.1975	0.125063657407403	-0.0725636574074002
16	87.36	87.4872164351852	87.9216666666667	-0.434450231481486	-0.127216435185176
17	87.13	87.2365219907407	87.6295833333333	-0.393061342592602	-0.106521990740731
18	86.93	87.0808275462963	87.35125	-0.270422453703708	-0.150827546296284
19	86.93	87.0413136574074	87.0808333333333	-0.0395196759259296	-0.111313657407393
20	86.93	87.0965914351852	86.805	0.291591435185195	-0.166591435185182
21	86.98	86.7045081018519	86.5245833333333	0.179924768518526	0.275491898148147
22	86.16	86.1540914351852	86.23125	-0.0771585648148104	0.00590856481480273
23	85.88	85.7857581018519	85.9225	-0.136741898148144	0.094241898148141
24	85.91	85.627355324074	85.6175	0.00985532407407281	0.282644675925923
25	85.91	85.5939525462963	85.3170833333333	0.27686921296297	0.316047453703703
26	85.6	85.4834664351852	85.0154166666667	0.468049768518513	0.116533564814802
27	84.9	84.8121469907407	84.6870833333333	0.125063657407403	0.0878530092592626
28	83.67	83.9105497685185	84.345	-0.434450231481486	-0.240549768518520
29	83.41	83.6127719907407	84.0058333333333	-0.393061342592602	-0.202771990740743
30	83.33	83.3783275462963	83.64875	-0.270422453703708	-0.0483275462962922
31	83.32	83.2433969907407	83.2829166666667	-0.0395196759259296	0.0766030092592445
32	83.3	83.2228414351852	82.93125	0.291591435185195	0.077158564814809
33	82.73	82.8170081018519	82.6370833333333	0.179924768518526	-0.0870081018518505
34	82.2	82.3565914351852	82.43375	-0.0771585648148104	-0.156591435185177
35	81.7	82.1536747685185	82.2904166666666	-0.136741898148144	-0.453674768518496
36	81.52	82.169855324074	82.16	0.00985532407407281	-0.649855324074068
37	81.52	82.3072858796296	82.0304166666667	0.27686921296297	-0.787285879629621
38	81.55	82.4205497685185	81.9525	0.468049768518513	-0.870549768518515
39	81.89	82.0808969907408	81.9558333333333	0.125063657407403	-0.190896990740754
40	81.8	81.5647164351852	81.9991666666667	-0.434450231481486	0.235283564814821
41	81.84	81.678605324074	82.0716666666667	-0.393061342592602	0.161394675925933
42	81.77	81.9004108796296	82.1708333333333	-0.270422453703708	-0.130410879629636
43	81.77	82.237980324074	82.2775	-0.0395196759259296	-0.467980324074063
44	82.98	82.6820081018518	82.3904166666667	0.291591435185195	0.297991898148155
45	83.13	82.6307581018519	82.4508333333333	0.179924768518526	0.499241898148142
46	82.84	82.3678414351852	82.445	-0.0771585648148104	0.472158564814819
47	82.8	82.2832581018519	82.42	-0.136741898148144	0.51674189814814
48	82.8	82.3881886574074	82.3783333333333	0.00985532407407281	0.4118113425926
49	82.8	82.6085358796296	82.3316666666667	0.27686921296297	0.191464120370370
50	82.98	82.7034664351852	82.2354166666667	0.468049768518513	0.276533564814827
51	81.91	82.1992303240741	82.0741666666667	0.125063657407403	-0.289230324074097
52	81.64	81.4559664351852	81.8904166666667	-0.434450231481486	0.184033564814811
53	81.4	81.3061053240741	81.6991666666667	-0.393061342592602	0.0938946759259238
54	81.21	81.238744212963	81.5091666666667	-0.270422453703708	-0.0287442129629767
55	81.21	81.2813136574074	81.3208333333333	-0.0395196759259296	-0.0713136574074156
56	81.23	81.4240914351852	81.1325	0.291591435185195	-0.194091435185172
57	81.01	81.1649247685185	80.985	0.179924768518526	-0.154924768518512
58	80.55	80.8011747685185	80.8783333333333	-0.0771585648148104	-0.251174768518524
59	80.5	80.6249247685185	80.7616666666667	-0.136741898148144	-0.124924768518511
60	80.54	80.643605324074	80.63375	0.00985532407407281	-0.103605324074067
61	80.54	80.7814525462963	80.5045833333333	0.27686921296297	-0.241452546296287
62	80.72	80.8205497685185	80.3525	0.468049768518513	-0.100549768518519
63	80.63	80.2983969907407	80.1733333333333	0.125063657407403	0.331603009259254
64	80.36	79.5688831018518	80.0033333333333	-0.434450231481486	0.791116898148161
65	79.88	79.4456886574074	79.83875	-0.393061342592602	0.434311342592594
66	79.66	79.3816608796296	79.6520833333334	-0.270422453703708	0.278339120370347
67	79.66	79.411730324074	79.45125	-0.0395196759259296	0.248269675925926
68	79.13	79.5320081018519	79.2404166666667	0.291591435185195	-0.402008101851862
69	78.81	79.1561747685185	78.97625	0.179924768518526	-0.346174768518537
70	78.67	78.5207581018519	78.5979166666667	-0.0771585648148104	0.149241898148148
71	78.43	78.0332581018519	78.17	-0.136741898148144	0.39674189814815
72	78.13	77.7865219907407	77.7766666666667	0.00985532407407281	0.343478009259272
73	78.13	77.6735358796296	77.3966666666666	0.27686921296297	0.456464120370384
74	78.07	77.5034664351852	77.0354166666667	0.468049768518513	0.566533564814819
75	76.94	76.7833969907407	76.6583333333333	0.125063657407403	0.156603009259257
76	74.97	75.7892997685185	76.22375	-0.434450231481486	-0.819299768518505
77	75	75.3569386574074	75.75	-0.393061342592602	-0.356938657407412
78	75.1	74.9966608796296	75.2670833333333	-0.270422453703708	0.103339120370364
79	75.1	74.7508969907407	74.7904166666667	-0.0395196759259296	0.349103009259267
80	75.02	74.6090914351852	74.3175	0.291591435185195	0.410908564814804
81	73.87	74.0332581018519	73.8533333333333	0.179924768518526	-0.163258101851866
82	73.18	73.3761747685185	73.4533333333333	-0.0771585648148104	-0.196174768518517
83	72.55	72.9557581018519	73.0925	-0.136741898148144	-0.405758101851859
84	72.42	72.681105324074	72.67125	0.00985532407407281	-0.261105324074066
85	72.4	72.4872858796296	72.2104166666667	0.27686921296297	-0.0872858796296327
86	72.45	72.2155497685185	71.7475	0.468049768518513	0.234450231481489
87	71.42	71.4058969907407	71.2808333333333	0.125063657407403	0.0141030092592587
88	70.89	70.3488831018518	70.7833333333333	-0.434450231481486	0.541116898148161
89	70.42	69.874855324074	70.2679166666667	-0.393061342592602	0.54514467592594
90	69.57	69.4970775462963	69.7675	-0.270422453703708	0.072922453703697
91	69.57	NA	NA	-0.0395196759259296	NA
92	69.44	NA	NA	0.291591435185195	NA
93	68.25	NA	NA	0.179924768518526	NA
94	66.86	NA	NA	-0.0771585648148104	NA
95	66.5	NA	NA	-0.136741898148144	NA
96	66.46	NA	NA	0.00985532407407281	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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
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