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Author

*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 11 Aug 2008 10:50:19 -0600

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/2008/Aug/11/t1218473474669mblsw89g2cw1.htm/, Retrieved Tue, 14 May 2024 14:19:02 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13974, Retrieved Tue, 14 May 2024 14:19:02 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

180

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

-       [Classical Decomposition] [jan-pieter onzea-...] [2008-08-11 16:50:19] [1140c1f194cb83f4b6ccae47f83794fa] [Current]

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Dataseries X:

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Boxplots

0,31
0,32
0,31
0,32
0,31
0,91
0,68
0,48
0,43
0,39
0,44
0,5
0,56
0,59
0,6
0,59
0,59
0,78
0,64
0,47
0,4
0,36
0,36
0,36
0,36
0,35
0,35
0,35
0,33
0,78
0,71
0,62
0,52
0,46
0,43
0,43
0,42
0,42
0,42
0,42
0,43
0,99
1,03
0,83
0,64
0,6
0,58
0,58
0,58
0,57
0,57
0,56
0,56
0,88
0,84
0,69
0,59
0,54
0,52
0,52
0,51
0,52
0,51
0,51
0,53
0,95
0,98
0,88
0,81
0,77
0,76
0,75
0,73
0,74
0,73
0,75
0,77
1,09
1,03
0,9
0,76
0,66
0,63
0,61
0,61
0,61
0,61
0,61
0,62
0,76
0,83
0,81
0,77
0,75
0,76
0,76

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=13974&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=13974&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13974&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	0.31	NA	NA	-0.0768171296296297	NA
2	0.32	NA	NA	-0.0771643518518519	NA
3	0.31	NA	NA	-0.0840393518518519	NA
4	0.32	NA	NA	-0.0882060185185185	NA
5	0.31	NA	NA	-0.086400462962963	NA
6	0.91	NA	NA	0.288182870370370	NA
7	0.68	0.707488425925926	0.460416666666667	0.247071759259259	-0.0274884259259258
8	0.48	0.588668981481481	0.482083333333333	0.106585648148148	-0.108668981481481
9	0.43	0.500127314814815	0.505416666666667	-0.00528935185185182	-0.0701273148148148
10	0.39	0.468252314814815	0.52875	-0.0604976851851852	-0.0782523148148148
11	0.44	0.472488425925926	0.551666666666667	-0.0791782407407407	-0.0324884259259259
12	0.5	0.473668981481482	0.557916666666667	-0.0842476851851852	0.0263310185185185
13	0.56	0.474016203703704	0.550833333333333	-0.0768171296296297	0.0859837962962964
14	0.59	0.471585648148148	0.54875	-0.0771643518518519	0.118414351851852
15	0.6	0.463043981481481	0.547083333333333	-0.0840393518518519	0.136956018518518
16	0.59	0.456377314814815	0.544583333333333	-0.0882060185185185	0.133622685185185
17	0.59	0.453599537037037	0.54	-0.086400462962963	0.136400462962963
18	0.78	0.819016203703704	0.530833333333333	0.288182870370370	-0.0390162037037037
19	0.64	0.763738425925926	0.516666666666667	0.247071759259259	-0.123738425925926
20	0.47	0.604918981481481	0.498333333333333	0.106585648148148	-0.134918981481481
21	0.4	0.472627314814815	0.477916666666667	-0.00528935185185182	-0.0726273148148148
22	0.36	0.397002314814815	0.4575	-0.0604976851851852	-0.0370023148148148
23	0.36	0.357488425925926	0.436666666666667	-0.0791782407407407	0.00251157407407404
24	0.36	0.341585648148148	0.425833333333333	-0.0842476851851852	0.0184143518518519
25	0.36	0.351932870370370	0.42875	-0.0768171296296297	0.00806712962962963
26	0.35	0.360752314814815	0.437916666666667	-0.0771643518518519	-0.0107523148148149
27	0.35	0.365127314814815	0.449166666666667	-0.0840393518518519	-0.0151273148148149
28	0.35	0.370127314814815	0.458333333333333	-0.0882060185185185	-0.020127314814815
29	0.33	0.379016203703704	0.465416666666667	-0.086400462962963	-0.0490162037037037
30	0.78	0.75943287037037	0.47125	0.288182870370370	0.0205671296296295
31	0.71	0.723738425925926	0.476666666666667	0.247071759259259	-0.0137384259259261
32	0.62	0.588668981481481	0.482083333333333	0.106585648148148	0.0313310185185186
33	0.52	0.482627314814815	0.487916666666667	-0.00528935185185182	0.0373726851851852
34	0.46	0.433252314814815	0.49375	-0.0604976851851852	0.0267476851851852
35	0.43	0.421655092592593	0.500833333333333	-0.0791782407407407	0.00834490740740734
36	0.43	0.429502314814815	0.51375	-0.0842476851851852	0.000497685185185115
37	0.42	0.459016203703704	0.535833333333333	-0.0768171296296297	-0.0390162037037036
38	0.42	0.480752314814815	0.557916666666667	-0.0771643518518519	-0.0607523148148147
39	0.42	0.487627314814815	0.571666666666667	-0.0840393518518519	-0.0676273148148147
40	0.42	0.494293981481481	0.5825	-0.0882060185185185	-0.0742939814814814
41	0.43	0.50818287037037	0.594583333333333	-0.086400462962963	-0.0781828703703704
42	0.99	0.895266203703704	0.607083333333333	0.288182870370370	0.0947337962962963
43	1.03	0.86707175925926	0.62	0.247071759259259	0.162928240740741
44	0.83	0.739502314814815	0.632916666666667	0.106585648148148	0.0904976851851852
45	0.64	0.640127314814815	0.645416666666667	-0.00528935185185182	-0.000127314814814650
46	0.6	0.597002314814815	0.6575	-0.0604976851851852	0.00299768518518528
47	0.58	0.589571759259259	0.66875	-0.0791782407407407	-0.00957175925925935
48	0.58	0.585335648148148	0.669583333333333	-0.0842476851851852	-0.00533564814814824
49	0.58	0.580266203703704	0.657083333333333	-0.0768171296296297	-0.000266203703703560
50	0.57	0.566168981481481	0.643333333333333	-0.0771643518518519	0.00383101851851853
51	0.57	0.551377314814815	0.635416666666667	-0.0840393518518519	0.0186226851851852
52	0.56	0.542627314814815	0.630833333333333	-0.0882060185185185	0.0173726851851852
53	0.56	0.53943287037037	0.625833333333333	-0.086400462962963	0.0205671296296297
54	0.88	0.909016203703704	0.620833333333333	0.288182870370370	-0.0290162037037038
55	0.84	0.862488425925926	0.615416666666667	0.247071759259259	-0.0224884259259259
56	0.69	0.717002314814815	0.610416666666667	0.106585648148148	-0.0270023148148149
57	0.59	0.600543981481481	0.605833333333333	-0.00528935185185182	-0.0105439814814814
58	0.54	0.540752314814815	0.60125	-0.0604976851851852	-0.000752314814814747
59	0.52	0.518738425925926	0.597916666666667	-0.0791782407407407	0.00126157407407423
60	0.52	0.515335648148148	0.599583333333333	-0.0842476851851852	0.0046643518518521
61	0.51	0.531516203703704	0.608333333333333	-0.0768171296296297	-0.0215162037037036
62	0.52	0.544918981481481	0.622083333333333	-0.0771643518518519	-0.0249189814814814
63	0.51	0.555127314814815	0.639166666666667	-0.0840393518518519	-0.0451273148148148
64	0.51	0.569710648148148	0.657916666666667	-0.0882060185185185	-0.0597106481481481
65	0.53	0.591099537037037	0.6775	-0.086400462962963	-0.061099537037037
66	0.95	0.985266203703704	0.697083333333333	0.288182870370370	-0.0352662037037037
67	0.98	0.962905092592592	0.715833333333333	0.247071759259259	0.0170949074074075
68	0.88	0.840752314814815	0.734166666666667	0.106585648148148	0.0392476851851853
69	0.81	0.747210648148148	0.7525	-0.00528935185185182	0.062789351851852
70	0.77	0.711168981481482	0.771666666666667	-0.0604976851851852	0.0588310185185185
71	0.76	0.712488425925926	0.791666666666667	-0.0791782407407407	0.0475115740740741
72	0.75	0.723252314814815	0.8075	-0.0842476851851852	0.0267476851851852
73	0.73	0.738599537037037	0.815416666666667	-0.0768171296296297	-0.0085995370370372
74	0.74	0.741168981481481	0.818333333333333	-0.0771643518518519	-0.00116898148148148
75	0.73	0.733043981481482	0.817083333333333	-0.0840393518518519	-0.00304398148148155
76	0.75	0.722210648148148	0.810416666666667	-0.0882060185185185	0.0277893518518519
77	0.77	0.714016203703704	0.800416666666667	-0.086400462962963	0.0559837962962965
78	1.09	1.07734953703704	0.789166666666667	0.288182870370370	0.0126504629629631
79	1.03	1.02540509259259	0.778333333333333	0.247071759259259	0.00459490740740753
80	0.9	0.874502314814815	0.767916666666667	0.106585648148148	0.0254976851851852
81	0.76	0.752210648148148	0.7575	-0.00528935185185182	0.00778935185185181
82	0.66	0.686168981481482	0.746666666666667	-0.0604976851851852	-0.0261689814814815
83	0.63	0.655405092592592	0.734583333333333	-0.0791782407407407	-0.0254050925925925
84	0.61	0.630335648148148	0.714583333333333	-0.0842476851851852	-0.0203356481481481
85	0.61	0.61568287037037	0.6925	-0.0768171296296297	-0.0056828703703703
86	0.61	0.603252314814815	0.680416666666667	-0.0771643518518519	0.00674768518518509
87	0.61	0.593043981481481	0.677083333333333	-0.0840393518518519	0.0169560185185186
88	0.61	0.593043981481481	0.68125	-0.0882060185185185	0.0169560185185186
89	0.62	0.604016203703703	0.690416666666666	-0.086400462962963	0.0159837962962965
90	0.76	0.990266203703704	0.702083333333333	0.288182870370370	-0.230266203703703
91	0.83	NA	NA	0.247071759259259	NA
92	0.81	NA	NA	0.106585648148148	NA
93	0.77	NA	NA	-0.00528935185185182	NA
94	0.75	NA	NA	-0.0604976851851852	NA
95	0.76	NA	NA	-0.0791782407407407	NA
96	0.76	NA	NA	-0.0842476851851852	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 0.31 & NA & NA & -0.0768171296296297 & NA \tabularnewline
2 & 0.32 & NA & NA & -0.0771643518518519 & NA \tabularnewline
3 & 0.31 & NA & NA & -0.0840393518518519 & NA \tabularnewline
4 & 0.32 & NA & NA & -0.0882060185185185 & NA \tabularnewline
5 & 0.31 & NA & NA & -0.086400462962963 & NA \tabularnewline
6 & 0.91 & NA & NA & 0.288182870370370 & NA \tabularnewline
7 & 0.68 & 0.707488425925926 & 0.460416666666667 & 0.247071759259259 & -0.0274884259259258 \tabularnewline
8 & 0.48 & 0.588668981481481 & 0.482083333333333 & 0.106585648148148 & -0.108668981481481 \tabularnewline
9 & 0.43 & 0.500127314814815 & 0.505416666666667 & -0.00528935185185182 & -0.0701273148148148 \tabularnewline
10 & 0.39 & 0.468252314814815 & 0.52875 & -0.0604976851851852 & -0.0782523148148148 \tabularnewline
11 & 0.44 & 0.472488425925926 & 0.551666666666667 & -0.0791782407407407 & -0.0324884259259259 \tabularnewline
12 & 0.5 & 0.473668981481482 & 0.557916666666667 & -0.0842476851851852 & 0.0263310185185185 \tabularnewline
13 & 0.56 & 0.474016203703704 & 0.550833333333333 & -0.0768171296296297 & 0.0859837962962964 \tabularnewline
14 & 0.59 & 0.471585648148148 & 0.54875 & -0.0771643518518519 & 0.118414351851852 \tabularnewline
15 & 0.6 & 0.463043981481481 & 0.547083333333333 & -0.0840393518518519 & 0.136956018518518 \tabularnewline
16 & 0.59 & 0.456377314814815 & 0.544583333333333 & -0.0882060185185185 & 0.133622685185185 \tabularnewline
17 & 0.59 & 0.453599537037037 & 0.54 & -0.086400462962963 & 0.136400462962963 \tabularnewline
18 & 0.78 & 0.819016203703704 & 0.530833333333333 & 0.288182870370370 & -0.0390162037037037 \tabularnewline
19 & 0.64 & 0.763738425925926 & 0.516666666666667 & 0.247071759259259 & -0.123738425925926 \tabularnewline
20 & 0.47 & 0.604918981481481 & 0.498333333333333 & 0.106585648148148 & -0.134918981481481 \tabularnewline
21 & 0.4 & 0.472627314814815 & 0.477916666666667 & -0.00528935185185182 & -0.0726273148148148 \tabularnewline
22 & 0.36 & 0.397002314814815 & 0.4575 & -0.0604976851851852 & -0.0370023148148148 \tabularnewline
23 & 0.36 & 0.357488425925926 & 0.436666666666667 & -0.0791782407407407 & 0.00251157407407404 \tabularnewline
24 & 0.36 & 0.341585648148148 & 0.425833333333333 & -0.0842476851851852 & 0.0184143518518519 \tabularnewline
25 & 0.36 & 0.351932870370370 & 0.42875 & -0.0768171296296297 & 0.00806712962962963 \tabularnewline
26 & 0.35 & 0.360752314814815 & 0.437916666666667 & -0.0771643518518519 & -0.0107523148148149 \tabularnewline
27 & 0.35 & 0.365127314814815 & 0.449166666666667 & -0.0840393518518519 & -0.0151273148148149 \tabularnewline
28 & 0.35 & 0.370127314814815 & 0.458333333333333 & -0.0882060185185185 & -0.020127314814815 \tabularnewline
29 & 0.33 & 0.379016203703704 & 0.465416666666667 & -0.086400462962963 & -0.0490162037037037 \tabularnewline
30 & 0.78 & 0.75943287037037 & 0.47125 & 0.288182870370370 & 0.0205671296296295 \tabularnewline
31 & 0.71 & 0.723738425925926 & 0.476666666666667 & 0.247071759259259 & -0.0137384259259261 \tabularnewline
32 & 0.62 & 0.588668981481481 & 0.482083333333333 & 0.106585648148148 & 0.0313310185185186 \tabularnewline
33 & 0.52 & 0.482627314814815 & 0.487916666666667 & -0.00528935185185182 & 0.0373726851851852 \tabularnewline
34 & 0.46 & 0.433252314814815 & 0.49375 & -0.0604976851851852 & 0.0267476851851852 \tabularnewline
35 & 0.43 & 0.421655092592593 & 0.500833333333333 & -0.0791782407407407 & 0.00834490740740734 \tabularnewline
36 & 0.43 & 0.429502314814815 & 0.51375 & -0.0842476851851852 & 0.000497685185185115 \tabularnewline
37 & 0.42 & 0.459016203703704 & 0.535833333333333 & -0.0768171296296297 & -0.0390162037037036 \tabularnewline
38 & 0.42 & 0.480752314814815 & 0.557916666666667 & -0.0771643518518519 & -0.0607523148148147 \tabularnewline
39 & 0.42 & 0.487627314814815 & 0.571666666666667 & -0.0840393518518519 & -0.0676273148148147 \tabularnewline
40 & 0.42 & 0.494293981481481 & 0.5825 & -0.0882060185185185 & -0.0742939814814814 \tabularnewline
41 & 0.43 & 0.50818287037037 & 0.594583333333333 & -0.086400462962963 & -0.0781828703703704 \tabularnewline
42 & 0.99 & 0.895266203703704 & 0.607083333333333 & 0.288182870370370 & 0.0947337962962963 \tabularnewline
43 & 1.03 & 0.86707175925926 & 0.62 & 0.247071759259259 & 0.162928240740741 \tabularnewline
44 & 0.83 & 0.739502314814815 & 0.632916666666667 & 0.106585648148148 & 0.0904976851851852 \tabularnewline
45 & 0.64 & 0.640127314814815 & 0.645416666666667 & -0.00528935185185182 & -0.000127314814814650 \tabularnewline
46 & 0.6 & 0.597002314814815 & 0.6575 & -0.0604976851851852 & 0.00299768518518528 \tabularnewline
47 & 0.58 & 0.589571759259259 & 0.66875 & -0.0791782407407407 & -0.00957175925925935 \tabularnewline
48 & 0.58 & 0.585335648148148 & 0.669583333333333 & -0.0842476851851852 & -0.00533564814814824 \tabularnewline
49 & 0.58 & 0.580266203703704 & 0.657083333333333 & -0.0768171296296297 & -0.000266203703703560 \tabularnewline
50 & 0.57 & 0.566168981481481 & 0.643333333333333 & -0.0771643518518519 & 0.00383101851851853 \tabularnewline
51 & 0.57 & 0.551377314814815 & 0.635416666666667 & -0.0840393518518519 & 0.0186226851851852 \tabularnewline
52 & 0.56 & 0.542627314814815 & 0.630833333333333 & -0.0882060185185185 & 0.0173726851851852 \tabularnewline
53 & 0.56 & 0.53943287037037 & 0.625833333333333 & -0.086400462962963 & 0.0205671296296297 \tabularnewline
54 & 0.88 & 0.909016203703704 & 0.620833333333333 & 0.288182870370370 & -0.0290162037037038 \tabularnewline
55 & 0.84 & 0.862488425925926 & 0.615416666666667 & 0.247071759259259 & -0.0224884259259259 \tabularnewline
56 & 0.69 & 0.717002314814815 & 0.610416666666667 & 0.106585648148148 & -0.0270023148148149 \tabularnewline
57 & 0.59 & 0.600543981481481 & 0.605833333333333 & -0.00528935185185182 & -0.0105439814814814 \tabularnewline
58 & 0.54 & 0.540752314814815 & 0.60125 & -0.0604976851851852 & -0.000752314814814747 \tabularnewline
59 & 0.52 & 0.518738425925926 & 0.597916666666667 & -0.0791782407407407 & 0.00126157407407423 \tabularnewline
60 & 0.52 & 0.515335648148148 & 0.599583333333333 & -0.0842476851851852 & 0.0046643518518521 \tabularnewline
61 & 0.51 & 0.531516203703704 & 0.608333333333333 & -0.0768171296296297 & -0.0215162037037036 \tabularnewline
62 & 0.52 & 0.544918981481481 & 0.622083333333333 & -0.0771643518518519 & -0.0249189814814814 \tabularnewline
63 & 0.51 & 0.555127314814815 & 0.639166666666667 & -0.0840393518518519 & -0.0451273148148148 \tabularnewline
64 & 0.51 & 0.569710648148148 & 0.657916666666667 & -0.0882060185185185 & -0.0597106481481481 \tabularnewline
65 & 0.53 & 0.591099537037037 & 0.6775 & -0.086400462962963 & -0.061099537037037 \tabularnewline
66 & 0.95 & 0.985266203703704 & 0.697083333333333 & 0.288182870370370 & -0.0352662037037037 \tabularnewline
67 & 0.98 & 0.962905092592592 & 0.715833333333333 & 0.247071759259259 & 0.0170949074074075 \tabularnewline
68 & 0.88 & 0.840752314814815 & 0.734166666666667 & 0.106585648148148 & 0.0392476851851853 \tabularnewline
69 & 0.81 & 0.747210648148148 & 0.7525 & -0.00528935185185182 & 0.062789351851852 \tabularnewline
70 & 0.77 & 0.711168981481482 & 0.771666666666667 & -0.0604976851851852 & 0.0588310185185185 \tabularnewline
71 & 0.76 & 0.712488425925926 & 0.791666666666667 & -0.0791782407407407 & 0.0475115740740741 \tabularnewline
72 & 0.75 & 0.723252314814815 & 0.8075 & -0.0842476851851852 & 0.0267476851851852 \tabularnewline
73 & 0.73 & 0.738599537037037 & 0.815416666666667 & -0.0768171296296297 & -0.0085995370370372 \tabularnewline
74 & 0.74 & 0.741168981481481 & 0.818333333333333 & -0.0771643518518519 & -0.00116898148148148 \tabularnewline
75 & 0.73 & 0.733043981481482 & 0.817083333333333 & -0.0840393518518519 & -0.00304398148148155 \tabularnewline
76 & 0.75 & 0.722210648148148 & 0.810416666666667 & -0.0882060185185185 & 0.0277893518518519 \tabularnewline
77 & 0.77 & 0.714016203703704 & 0.800416666666667 & -0.086400462962963 & 0.0559837962962965 \tabularnewline
78 & 1.09 & 1.07734953703704 & 0.789166666666667 & 0.288182870370370 & 0.0126504629629631 \tabularnewline
79 & 1.03 & 1.02540509259259 & 0.778333333333333 & 0.247071759259259 & 0.00459490740740753 \tabularnewline
80 & 0.9 & 0.874502314814815 & 0.767916666666667 & 0.106585648148148 & 0.0254976851851852 \tabularnewline
81 & 0.76 & 0.752210648148148 & 0.7575 & -0.00528935185185182 & 0.00778935185185181 \tabularnewline
82 & 0.66 & 0.686168981481482 & 0.746666666666667 & -0.0604976851851852 & -0.0261689814814815 \tabularnewline
83 & 0.63 & 0.655405092592592 & 0.734583333333333 & -0.0791782407407407 & -0.0254050925925925 \tabularnewline
84 & 0.61 & 0.630335648148148 & 0.714583333333333 & -0.0842476851851852 & -0.0203356481481481 \tabularnewline
85 & 0.61 & 0.61568287037037 & 0.6925 & -0.0768171296296297 & -0.0056828703703703 \tabularnewline
86 & 0.61 & 0.603252314814815 & 0.680416666666667 & -0.0771643518518519 & 0.00674768518518509 \tabularnewline
87 & 0.61 & 0.593043981481481 & 0.677083333333333 & -0.0840393518518519 & 0.0169560185185186 \tabularnewline
88 & 0.61 & 0.593043981481481 & 0.68125 & -0.0882060185185185 & 0.0169560185185186 \tabularnewline
89 & 0.62 & 0.604016203703703 & 0.690416666666666 & -0.086400462962963 & 0.0159837962962965 \tabularnewline
90 & 0.76 & 0.990266203703704 & 0.702083333333333 & 0.288182870370370 & -0.230266203703703 \tabularnewline
91 & 0.83 & NA & NA & 0.247071759259259 & NA \tabularnewline
92 & 0.81 & NA & NA & 0.106585648148148 & NA \tabularnewline
93 & 0.77 & NA & NA & -0.00528935185185182 & NA \tabularnewline
94 & 0.75 & NA & NA & -0.0604976851851852 & NA \tabularnewline
95 & 0.76 & NA & NA & -0.0791782407407407 & NA \tabularnewline
96 & 0.76 & NA & NA & -0.0842476851851852 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13974&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]0.31[/C][C]NA[/C][C]NA[/C][C]-0.0768171296296297[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]0.32[/C][C]NA[/C][C]NA[/C][C]-0.0771643518518519[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]0.31[/C][C]NA[/C][C]NA[/C][C]-0.0840393518518519[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]0.32[/C][C]NA[/C][C]NA[/C][C]-0.0882060185185185[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]0.31[/C][C]NA[/C][C]NA[/C][C]-0.086400462962963[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]0.91[/C][C]NA[/C][C]NA[/C][C]0.288182870370370[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]0.68[/C][C]0.707488425925926[/C][C]0.460416666666667[/C][C]0.247071759259259[/C][C]-0.0274884259259258[/C][/ROW]
[ROW][C]8[/C][C]0.48[/C][C]0.588668981481481[/C][C]0.482083333333333[/C][C]0.106585648148148[/C][C]-0.108668981481481[/C][/ROW]
[ROW][C]9[/C][C]0.43[/C][C]0.500127314814815[/C][C]0.505416666666667[/C][C]-0.00528935185185182[/C][C]-0.0701273148148148[/C][/ROW]
[ROW][C]10[/C][C]0.39[/C][C]0.468252314814815[/C][C]0.52875[/C][C]-0.0604976851851852[/C][C]-0.0782523148148148[/C][/ROW]
[ROW][C]11[/C][C]0.44[/C][C]0.472488425925926[/C][C]0.551666666666667[/C][C]-0.0791782407407407[/C][C]-0.0324884259259259[/C][/ROW]
[ROW][C]12[/C][C]0.5[/C][C]0.473668981481482[/C][C]0.557916666666667[/C][C]-0.0842476851851852[/C][C]0.0263310185185185[/C][/ROW]
[ROW][C]13[/C][C]0.56[/C][C]0.474016203703704[/C][C]0.550833333333333[/C][C]-0.0768171296296297[/C][C]0.0859837962962964[/C][/ROW]
[ROW][C]14[/C][C]0.59[/C][C]0.471585648148148[/C][C]0.54875[/C][C]-0.0771643518518519[/C][C]0.118414351851852[/C][/ROW]
[ROW][C]15[/C][C]0.6[/C][C]0.463043981481481[/C][C]0.547083333333333[/C][C]-0.0840393518518519[/C][C]0.136956018518518[/C][/ROW]
[ROW][C]16[/C][C]0.59[/C][C]0.456377314814815[/C][C]0.544583333333333[/C][C]-0.0882060185185185[/C][C]0.133622685185185[/C][/ROW]
[ROW][C]17[/C][C]0.59[/C][C]0.453599537037037[/C][C]0.54[/C][C]-0.086400462962963[/C][C]0.136400462962963[/C][/ROW]
[ROW][C]18[/C][C]0.78[/C][C]0.819016203703704[/C][C]0.530833333333333[/C][C]0.288182870370370[/C][C]-0.0390162037037037[/C][/ROW]
[ROW][C]19[/C][C]0.64[/C][C]0.763738425925926[/C][C]0.516666666666667[/C][C]0.247071759259259[/C][C]-0.123738425925926[/C][/ROW]
[ROW][C]20[/C][C]0.47[/C][C]0.604918981481481[/C][C]0.498333333333333[/C][C]0.106585648148148[/C][C]-0.134918981481481[/C][/ROW]
[ROW][C]21[/C][C]0.4[/C][C]0.472627314814815[/C][C]0.477916666666667[/C][C]-0.00528935185185182[/C][C]-0.0726273148148148[/C][/ROW]
[ROW][C]22[/C][C]0.36[/C][C]0.397002314814815[/C][C]0.4575[/C][C]-0.0604976851851852[/C][C]-0.0370023148148148[/C][/ROW]
[ROW][C]23[/C][C]0.36[/C][C]0.357488425925926[/C][C]0.436666666666667[/C][C]-0.0791782407407407[/C][C]0.00251157407407404[/C][/ROW]
[ROW][C]24[/C][C]0.36[/C][C]0.341585648148148[/C][C]0.425833333333333[/C][C]-0.0842476851851852[/C][C]0.0184143518518519[/C][/ROW]
[ROW][C]25[/C][C]0.36[/C][C]0.351932870370370[/C][C]0.42875[/C][C]-0.0768171296296297[/C][C]0.00806712962962963[/C][/ROW]
[ROW][C]26[/C][C]0.35[/C][C]0.360752314814815[/C][C]0.437916666666667[/C][C]-0.0771643518518519[/C][C]-0.0107523148148149[/C][/ROW]
[ROW][C]27[/C][C]0.35[/C][C]0.365127314814815[/C][C]0.449166666666667[/C][C]-0.0840393518518519[/C][C]-0.0151273148148149[/C][/ROW]
[ROW][C]28[/C][C]0.35[/C][C]0.370127314814815[/C][C]0.458333333333333[/C][C]-0.0882060185185185[/C][C]-0.020127314814815[/C][/ROW]
[ROW][C]29[/C][C]0.33[/C][C]0.379016203703704[/C][C]0.465416666666667[/C][C]-0.086400462962963[/C][C]-0.0490162037037037[/C][/ROW]
[ROW][C]30[/C][C]0.78[/C][C]0.75943287037037[/C][C]0.47125[/C][C]0.288182870370370[/C][C]0.0205671296296295[/C][/ROW]
[ROW][C]31[/C][C]0.71[/C][C]0.723738425925926[/C][C]0.476666666666667[/C][C]0.247071759259259[/C][C]-0.0137384259259261[/C][/ROW]
[ROW][C]32[/C][C]0.62[/C][C]0.588668981481481[/C][C]0.482083333333333[/C][C]0.106585648148148[/C][C]0.0313310185185186[/C][/ROW]
[ROW][C]33[/C][C]0.52[/C][C]0.482627314814815[/C][C]0.487916666666667[/C][C]-0.00528935185185182[/C][C]0.0373726851851852[/C][/ROW]
[ROW][C]34[/C][C]0.46[/C][C]0.433252314814815[/C][C]0.49375[/C][C]-0.0604976851851852[/C][C]0.0267476851851852[/C][/ROW]
[ROW][C]35[/C][C]0.43[/C][C]0.421655092592593[/C][C]0.500833333333333[/C][C]-0.0791782407407407[/C][C]0.00834490740740734[/C][/ROW]
[ROW][C]36[/C][C]0.43[/C][C]0.429502314814815[/C][C]0.51375[/C][C]-0.0842476851851852[/C][C]0.000497685185185115[/C][/ROW]
[ROW][C]37[/C][C]0.42[/C][C]0.459016203703704[/C][C]0.535833333333333[/C][C]-0.0768171296296297[/C][C]-0.0390162037037036[/C][/ROW]
[ROW][C]38[/C][C]0.42[/C][C]0.480752314814815[/C][C]0.557916666666667[/C][C]-0.0771643518518519[/C][C]-0.0607523148148147[/C][/ROW]
[ROW][C]39[/C][C]0.42[/C][C]0.487627314814815[/C][C]0.571666666666667[/C][C]-0.0840393518518519[/C][C]-0.0676273148148147[/C][/ROW]
[ROW][C]40[/C][C]0.42[/C][C]0.494293981481481[/C][C]0.5825[/C][C]-0.0882060185185185[/C][C]-0.0742939814814814[/C][/ROW]
[ROW][C]41[/C][C]0.43[/C][C]0.50818287037037[/C][C]0.594583333333333[/C][C]-0.086400462962963[/C][C]-0.0781828703703704[/C][/ROW]
[ROW][C]42[/C][C]0.99[/C][C]0.895266203703704[/C][C]0.607083333333333[/C][C]0.288182870370370[/C][C]0.0947337962962963[/C][/ROW]
[ROW][C]43[/C][C]1.03[/C][C]0.86707175925926[/C][C]0.62[/C][C]0.247071759259259[/C][C]0.162928240740741[/C][/ROW]
[ROW][C]44[/C][C]0.83[/C][C]0.739502314814815[/C][C]0.632916666666667[/C][C]0.106585648148148[/C][C]0.0904976851851852[/C][/ROW]
[ROW][C]45[/C][C]0.64[/C][C]0.640127314814815[/C][C]0.645416666666667[/C][C]-0.00528935185185182[/C][C]-0.000127314814814650[/C][/ROW]
[ROW][C]46[/C][C]0.6[/C][C]0.597002314814815[/C][C]0.6575[/C][C]-0.0604976851851852[/C][C]0.00299768518518528[/C][/ROW]
[ROW][C]47[/C][C]0.58[/C][C]0.589571759259259[/C][C]0.66875[/C][C]-0.0791782407407407[/C][C]-0.00957175925925935[/C][/ROW]
[ROW][C]48[/C][C]0.58[/C][C]0.585335648148148[/C][C]0.669583333333333[/C][C]-0.0842476851851852[/C][C]-0.00533564814814824[/C][/ROW]
[ROW][C]49[/C][C]0.58[/C][C]0.580266203703704[/C][C]0.657083333333333[/C][C]-0.0768171296296297[/C][C]-0.000266203703703560[/C][/ROW]
[ROW][C]50[/C][C]0.57[/C][C]0.566168981481481[/C][C]0.643333333333333[/C][C]-0.0771643518518519[/C][C]0.00383101851851853[/C][/ROW]
[ROW][C]51[/C][C]0.57[/C][C]0.551377314814815[/C][C]0.635416666666667[/C][C]-0.0840393518518519[/C][C]0.0186226851851852[/C][/ROW]
[ROW][C]52[/C][C]0.56[/C][C]0.542627314814815[/C][C]0.630833333333333[/C][C]-0.0882060185185185[/C][C]0.0173726851851852[/C][/ROW]
[ROW][C]53[/C][C]0.56[/C][C]0.53943287037037[/C][C]0.625833333333333[/C][C]-0.086400462962963[/C][C]0.0205671296296297[/C][/ROW]
[ROW][C]54[/C][C]0.88[/C][C]0.909016203703704[/C][C]0.620833333333333[/C][C]0.288182870370370[/C][C]-0.0290162037037038[/C][/ROW]
[ROW][C]55[/C][C]0.84[/C][C]0.862488425925926[/C][C]0.615416666666667[/C][C]0.247071759259259[/C][C]-0.0224884259259259[/C][/ROW]
[ROW][C]56[/C][C]0.69[/C][C]0.717002314814815[/C][C]0.610416666666667[/C][C]0.106585648148148[/C][C]-0.0270023148148149[/C][/ROW]
[ROW][C]57[/C][C]0.59[/C][C]0.600543981481481[/C][C]0.605833333333333[/C][C]-0.00528935185185182[/C][C]-0.0105439814814814[/C][/ROW]
[ROW][C]58[/C][C]0.54[/C][C]0.540752314814815[/C][C]0.60125[/C][C]-0.0604976851851852[/C][C]-0.000752314814814747[/C][/ROW]
[ROW][C]59[/C][C]0.52[/C][C]0.518738425925926[/C][C]0.597916666666667[/C][C]-0.0791782407407407[/C][C]0.00126157407407423[/C][/ROW]
[ROW][C]60[/C][C]0.52[/C][C]0.515335648148148[/C][C]0.599583333333333[/C][C]-0.0842476851851852[/C][C]0.0046643518518521[/C][/ROW]
[ROW][C]61[/C][C]0.51[/C][C]0.531516203703704[/C][C]0.608333333333333[/C][C]-0.0768171296296297[/C][C]-0.0215162037037036[/C][/ROW]
[ROW][C]62[/C][C]0.52[/C][C]0.544918981481481[/C][C]0.622083333333333[/C][C]-0.0771643518518519[/C][C]-0.0249189814814814[/C][/ROW]
[ROW][C]63[/C][C]0.51[/C][C]0.555127314814815[/C][C]0.639166666666667[/C][C]-0.0840393518518519[/C][C]-0.0451273148148148[/C][/ROW]
[ROW][C]64[/C][C]0.51[/C][C]0.569710648148148[/C][C]0.657916666666667[/C][C]-0.0882060185185185[/C][C]-0.0597106481481481[/C][/ROW]
[ROW][C]65[/C][C]0.53[/C][C]0.591099537037037[/C][C]0.6775[/C][C]-0.086400462962963[/C][C]-0.061099537037037[/C][/ROW]
[ROW][C]66[/C][C]0.95[/C][C]0.985266203703704[/C][C]0.697083333333333[/C][C]0.288182870370370[/C][C]-0.0352662037037037[/C][/ROW]
[ROW][C]67[/C][C]0.98[/C][C]0.962905092592592[/C][C]0.715833333333333[/C][C]0.247071759259259[/C][C]0.0170949074074075[/C][/ROW]
[ROW][C]68[/C][C]0.88[/C][C]0.840752314814815[/C][C]0.734166666666667[/C][C]0.106585648148148[/C][C]0.0392476851851853[/C][/ROW]
[ROW][C]69[/C][C]0.81[/C][C]0.747210648148148[/C][C]0.7525[/C][C]-0.00528935185185182[/C][C]0.062789351851852[/C][/ROW]
[ROW][C]70[/C][C]0.77[/C][C]0.711168981481482[/C][C]0.771666666666667[/C][C]-0.0604976851851852[/C][C]0.0588310185185185[/C][/ROW]
[ROW][C]71[/C][C]0.76[/C][C]0.712488425925926[/C][C]0.791666666666667[/C][C]-0.0791782407407407[/C][C]0.0475115740740741[/C][/ROW]
[ROW][C]72[/C][C]0.75[/C][C]0.723252314814815[/C][C]0.8075[/C][C]-0.0842476851851852[/C][C]0.0267476851851852[/C][/ROW]
[ROW][C]73[/C][C]0.73[/C][C]0.738599537037037[/C][C]0.815416666666667[/C][C]-0.0768171296296297[/C][C]-0.0085995370370372[/C][/ROW]
[ROW][C]74[/C][C]0.74[/C][C]0.741168981481481[/C][C]0.818333333333333[/C][C]-0.0771643518518519[/C][C]-0.00116898148148148[/C][/ROW]
[ROW][C]75[/C][C]0.73[/C][C]0.733043981481482[/C][C]0.817083333333333[/C][C]-0.0840393518518519[/C][C]-0.00304398148148155[/C][/ROW]
[ROW][C]76[/C][C]0.75[/C][C]0.722210648148148[/C][C]0.810416666666667[/C][C]-0.0882060185185185[/C][C]0.0277893518518519[/C][/ROW]
[ROW][C]77[/C][C]0.77[/C][C]0.714016203703704[/C][C]0.800416666666667[/C][C]-0.086400462962963[/C][C]0.0559837962962965[/C][/ROW]
[ROW][C]78[/C][C]1.09[/C][C]1.07734953703704[/C][C]0.789166666666667[/C][C]0.288182870370370[/C][C]0.0126504629629631[/C][/ROW]
[ROW][C]79[/C][C]1.03[/C][C]1.02540509259259[/C][C]0.778333333333333[/C][C]0.247071759259259[/C][C]0.00459490740740753[/C][/ROW]
[ROW][C]80[/C][C]0.9[/C][C]0.874502314814815[/C][C]0.767916666666667[/C][C]0.106585648148148[/C][C]0.0254976851851852[/C][/ROW]
[ROW][C]81[/C][C]0.76[/C][C]0.752210648148148[/C][C]0.7575[/C][C]-0.00528935185185182[/C][C]0.00778935185185181[/C][/ROW]
[ROW][C]82[/C][C]0.66[/C][C]0.686168981481482[/C][C]0.746666666666667[/C][C]-0.0604976851851852[/C][C]-0.0261689814814815[/C][/ROW]
[ROW][C]83[/C][C]0.63[/C][C]0.655405092592592[/C][C]0.734583333333333[/C][C]-0.0791782407407407[/C][C]-0.0254050925925925[/C][/ROW]
[ROW][C]84[/C][C]0.61[/C][C]0.630335648148148[/C][C]0.714583333333333[/C][C]-0.0842476851851852[/C][C]-0.0203356481481481[/C][/ROW]
[ROW][C]85[/C][C]0.61[/C][C]0.61568287037037[/C][C]0.6925[/C][C]-0.0768171296296297[/C][C]-0.0056828703703703[/C][/ROW]
[ROW][C]86[/C][C]0.61[/C][C]0.603252314814815[/C][C]0.680416666666667[/C][C]-0.0771643518518519[/C][C]0.00674768518518509[/C][/ROW]
[ROW][C]87[/C][C]0.61[/C][C]0.593043981481481[/C][C]0.677083333333333[/C][C]-0.0840393518518519[/C][C]0.0169560185185186[/C][/ROW]
[ROW][C]88[/C][C]0.61[/C][C]0.593043981481481[/C][C]0.68125[/C][C]-0.0882060185185185[/C][C]0.0169560185185186[/C][/ROW]
[ROW][C]89[/C][C]0.62[/C][C]0.604016203703703[/C][C]0.690416666666666[/C][C]-0.086400462962963[/C][C]0.0159837962962965[/C][/ROW]
[ROW][C]90[/C][C]0.76[/C][C]0.990266203703704[/C][C]0.702083333333333[/C][C]0.288182870370370[/C][C]-0.230266203703703[/C][/ROW]
[ROW][C]91[/C][C]0.83[/C][C]NA[/C][C]NA[/C][C]0.247071759259259[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]0.106585648148148[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]0.77[/C][C]NA[/C][C]NA[/C][C]-0.00528935185185182[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]0.75[/C][C]NA[/C][C]NA[/C][C]-0.0604976851851852[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]0.76[/C][C]NA[/C][C]NA[/C][C]-0.0791782407407407[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]0.76[/C][C]NA[/C][C]NA[/C][C]-0.0842476851851852[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13974&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13974&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	0.31	NA	NA	-0.0768171296296297	NA
2	0.32	NA	NA	-0.0771643518518519	NA
3	0.31	NA	NA	-0.0840393518518519	NA
4	0.32	NA	NA	-0.0882060185185185	NA
5	0.31	NA	NA	-0.086400462962963	NA
6	0.91	NA	NA	0.288182870370370	NA
7	0.68	0.707488425925926	0.460416666666667	0.247071759259259	-0.0274884259259258
8	0.48	0.588668981481481	0.482083333333333	0.106585648148148	-0.108668981481481
9	0.43	0.500127314814815	0.505416666666667	-0.00528935185185182	-0.0701273148148148
10	0.39	0.468252314814815	0.52875	-0.0604976851851852	-0.0782523148148148
11	0.44	0.472488425925926	0.551666666666667	-0.0791782407407407	-0.0324884259259259
12	0.5	0.473668981481482	0.557916666666667	-0.0842476851851852	0.0263310185185185
13	0.56	0.474016203703704	0.550833333333333	-0.0768171296296297	0.0859837962962964
14	0.59	0.471585648148148	0.54875	-0.0771643518518519	0.118414351851852
15	0.6	0.463043981481481	0.547083333333333	-0.0840393518518519	0.136956018518518
16	0.59	0.456377314814815	0.544583333333333	-0.0882060185185185	0.133622685185185
17	0.59	0.453599537037037	0.54	-0.086400462962963	0.136400462962963
18	0.78	0.819016203703704	0.530833333333333	0.288182870370370	-0.0390162037037037
19	0.64	0.763738425925926	0.516666666666667	0.247071759259259	-0.123738425925926
20	0.47	0.604918981481481	0.498333333333333	0.106585648148148	-0.134918981481481
21	0.4	0.472627314814815	0.477916666666667	-0.00528935185185182	-0.0726273148148148
22	0.36	0.397002314814815	0.4575	-0.0604976851851852	-0.0370023148148148
23	0.36	0.357488425925926	0.436666666666667	-0.0791782407407407	0.00251157407407404
24	0.36	0.341585648148148	0.425833333333333	-0.0842476851851852	0.0184143518518519
25	0.36	0.351932870370370	0.42875	-0.0768171296296297	0.00806712962962963
26	0.35	0.360752314814815	0.437916666666667	-0.0771643518518519	-0.0107523148148149
27	0.35	0.365127314814815	0.449166666666667	-0.0840393518518519	-0.0151273148148149
28	0.35	0.370127314814815	0.458333333333333	-0.0882060185185185	-0.020127314814815
29	0.33	0.379016203703704	0.465416666666667	-0.086400462962963	-0.0490162037037037
30	0.78	0.75943287037037	0.47125	0.288182870370370	0.0205671296296295
31	0.71	0.723738425925926	0.476666666666667	0.247071759259259	-0.0137384259259261
32	0.62	0.588668981481481	0.482083333333333	0.106585648148148	0.0313310185185186
33	0.52	0.482627314814815	0.487916666666667	-0.00528935185185182	0.0373726851851852
34	0.46	0.433252314814815	0.49375	-0.0604976851851852	0.0267476851851852
35	0.43	0.421655092592593	0.500833333333333	-0.0791782407407407	0.00834490740740734
36	0.43	0.429502314814815	0.51375	-0.0842476851851852	0.000497685185185115
37	0.42	0.459016203703704	0.535833333333333	-0.0768171296296297	-0.0390162037037036
38	0.42	0.480752314814815	0.557916666666667	-0.0771643518518519	-0.0607523148148147
39	0.42	0.487627314814815	0.571666666666667	-0.0840393518518519	-0.0676273148148147
40	0.42	0.494293981481481	0.5825	-0.0882060185185185	-0.0742939814814814
41	0.43	0.50818287037037	0.594583333333333	-0.086400462962963	-0.0781828703703704
42	0.99	0.895266203703704	0.607083333333333	0.288182870370370	0.0947337962962963
43	1.03	0.86707175925926	0.62	0.247071759259259	0.162928240740741
44	0.83	0.739502314814815	0.632916666666667	0.106585648148148	0.0904976851851852
45	0.64	0.640127314814815	0.645416666666667	-0.00528935185185182	-0.000127314814814650
46	0.6	0.597002314814815	0.6575	-0.0604976851851852	0.00299768518518528
47	0.58	0.589571759259259	0.66875	-0.0791782407407407	-0.00957175925925935
48	0.58	0.585335648148148	0.669583333333333	-0.0842476851851852	-0.00533564814814824
49	0.58	0.580266203703704	0.657083333333333	-0.0768171296296297	-0.000266203703703560
50	0.57	0.566168981481481	0.643333333333333	-0.0771643518518519	0.00383101851851853
51	0.57	0.551377314814815	0.635416666666667	-0.0840393518518519	0.0186226851851852
52	0.56	0.542627314814815	0.630833333333333	-0.0882060185185185	0.0173726851851852
53	0.56	0.53943287037037	0.625833333333333	-0.086400462962963	0.0205671296296297
54	0.88	0.909016203703704	0.620833333333333	0.288182870370370	-0.0290162037037038
55	0.84	0.862488425925926	0.615416666666667	0.247071759259259	-0.0224884259259259
56	0.69	0.717002314814815	0.610416666666667	0.106585648148148	-0.0270023148148149
57	0.59	0.600543981481481	0.605833333333333	-0.00528935185185182	-0.0105439814814814
58	0.54	0.540752314814815	0.60125	-0.0604976851851852	-0.000752314814814747
59	0.52	0.518738425925926	0.597916666666667	-0.0791782407407407	0.00126157407407423
60	0.52	0.515335648148148	0.599583333333333	-0.0842476851851852	0.0046643518518521
61	0.51	0.531516203703704	0.608333333333333	-0.0768171296296297	-0.0215162037037036
62	0.52	0.544918981481481	0.622083333333333	-0.0771643518518519	-0.0249189814814814
63	0.51	0.555127314814815	0.639166666666667	-0.0840393518518519	-0.0451273148148148
64	0.51	0.569710648148148	0.657916666666667	-0.0882060185185185	-0.0597106481481481
65	0.53	0.591099537037037	0.6775	-0.086400462962963	-0.061099537037037
66	0.95	0.985266203703704	0.697083333333333	0.288182870370370	-0.0352662037037037
67	0.98	0.962905092592592	0.715833333333333	0.247071759259259	0.0170949074074075
68	0.88	0.840752314814815	0.734166666666667	0.106585648148148	0.0392476851851853
69	0.81	0.747210648148148	0.7525	-0.00528935185185182	0.062789351851852
70	0.77	0.711168981481482	0.771666666666667	-0.0604976851851852	0.0588310185185185
71	0.76	0.712488425925926	0.791666666666667	-0.0791782407407407	0.0475115740740741
72	0.75	0.723252314814815	0.8075	-0.0842476851851852	0.0267476851851852
73	0.73	0.738599537037037	0.815416666666667	-0.0768171296296297	-0.0085995370370372
74	0.74	0.741168981481481	0.818333333333333	-0.0771643518518519	-0.00116898148148148
75	0.73	0.733043981481482	0.817083333333333	-0.0840393518518519	-0.00304398148148155
76	0.75	0.722210648148148	0.810416666666667	-0.0882060185185185	0.0277893518518519
77	0.77	0.714016203703704	0.800416666666667	-0.086400462962963	0.0559837962962965
78	1.09	1.07734953703704	0.789166666666667	0.288182870370370	0.0126504629629631
79	1.03	1.02540509259259	0.778333333333333	0.247071759259259	0.00459490740740753
80	0.9	0.874502314814815	0.767916666666667	0.106585648148148	0.0254976851851852
81	0.76	0.752210648148148	0.7575	-0.00528935185185182	0.00778935185185181
82	0.66	0.686168981481482	0.746666666666667	-0.0604976851851852	-0.0261689814814815
83	0.63	0.655405092592592	0.734583333333333	-0.0791782407407407	-0.0254050925925925
84	0.61	0.630335648148148	0.714583333333333	-0.0842476851851852	-0.0203356481481481
85	0.61	0.61568287037037	0.6925	-0.0768171296296297	-0.0056828703703703
86	0.61	0.603252314814815	0.680416666666667	-0.0771643518518519	0.00674768518518509
87	0.61	0.593043981481481	0.677083333333333	-0.0840393518518519	0.0169560185185186
88	0.61	0.593043981481481	0.68125	-0.0882060185185185	0.0169560185185186
89	0.62	0.604016203703703	0.690416666666666	-0.086400462962963	0.0159837962962965
90	0.76	0.990266203703704	0.702083333333333	0.288182870370370	-0.230266203703703
91	0.83	NA	NA	0.247071759259259	NA
92	0.81	NA	NA	0.106585648148148	NA
93	0.77	NA	NA	-0.00528935185185182	NA
94	0.75	NA	NA	-0.0604976851851852	NA
95	0.76	NA	NA	-0.0791782407407407	NA
96	0.76	NA	NA	-0.0842476851851852	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):

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