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*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sun, 01 Jun 2008 06:39:54 -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/Jun/01/t1212324338eybwctri78whnwt.htm/, Retrieved Sat, 18 May 2024 15:52:03 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13660, Retrieved Sat, 18 May 2024 15:52:03 +0000

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No (this computation is public)

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Estimated Impact

234

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

-       [Classical Decomposition] [Multiplicatief de...] [2008-06-01 12:39:54] [6cae5450d413d5fde7d2ce6324b75128] [Current]

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Dataseries X:

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0,63
0,64
0,65
0,65
0,65
0,65
0,65
0,66
0,65
0,66
0,66
0,66
0,66
0,68
0,69
0,7
0,71
0,71
0,7
0,7
0,7
0,7
0,71
0,7
0,7
0,7
0,69
0,7
0,69
0,69
0,69
0,7
0,7
0,71
0,71
0,71
0,72
0,73
0,74
0,74
0,74
0,74
0,75
0,75
0,76
0,76
0,76
0,76
0,76
0,77
0,77
0,78
0,78
0,78
0,78
0,78
0,78
0,78
0,8
0,8
0,8
0,81
0,81
0,81
0,8
0,81
0,81
0,81
0,8
0,82
0,83
0,83

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13660&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13660&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13660&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	0.63	NA	NA	0.991737646454424	NA
2	0.64	NA	NA	1.00220466932951	NA
3	0.65	NA	NA	1.00207372041151	NA
4	0.65	NA	NA	1.00888561980387	NA
5	0.65	NA	NA	1.00516173126243	NA
6	0.65	NA	NA	1.00115155945410	NA
7	0.65	0.650088984225145	0.652083333333333	0.996941573252618	0.999863119930803
8	0.66	0.652841403387668	0.655	0.996704432652928	1.01096529199157
9	0.65	0.656049048488156	0.658333333333333	0.996530200235173	0.990779578901767
10	0.66	0.660004438270228	0.662083333333333	0.996860070389268	0.99999327539336
11	0.66	0.66930567546143	0.666666666666667	1.00395851319214	0.986096523901408
12	0.66	0.670182460359161	0.671666666666667	0.997790263562026	0.98480643561799
13	0.66	0.670662583414805	0.67625	0.991737646454424	0.984101418987005
14	0.68	0.681499175144066	0.68	1.00220466932951	0.997800180544974
15	0.69	0.685167906331371	0.68375	1.00207372041151	1.00705242266016
16	0.7	0.69360886361516	0.6875	1.00888561980387	1.00921432340344
17	0.71	0.694818046735155	0.69125	1.00516173126243	1.02185025754035
18	0.71	0.695800333820598	0.695	1.00115155945410	1.02040767370926
19	0.7	0.696197531988078	0.698333333333333	0.996941573252618	1.00546176600348
20	0.7	0.69852368988426	0.700833333333333	0.996704432652928	1.00211347179361
21	0.7	0.69923202383168	0.701666666666667	0.996530200235173	1.00109831378161
22	0.7	0.699463482723136	0.701666666666667	0.996860070389268	1.00076704115385
23	0.71	0.703607591328828	0.700833333333333	1.00395851319214	1.00908519002630
24	0.7	0.697621692607117	0.699166666666667	0.997790263562026	1.00340916490712
25	0.7	0.692150232421317	0.697916666666667	0.991737646454424	1.01134113261975
26	0.7	0.699037756857333	0.6975	1.00220466932951	1.00137652527811
27	0.69	0.69894641998703	0.6975	1.00207372041151	0.987200134758262
28	0.7	0.70411808882145	0.697916666666667	1.00888561980387	0.994151423054131
29	0.69	0.701937942331597	0.698333333333333	1.00516173126243	0.98299288069264
30	0.69	0.699554652168551	0.69875	1.00115155945410	0.986341807407138
31	0.69	0.697859101276833	0.7	0.996941573252618	0.988738269283222
32	0.7	0.699769570425077	0.702083333333333	0.996704432652928	1.00032929350555
33	0.7	0.702969012082562	0.705416666666667	0.996530200235173	0.995776468049757
34	0.71	0.706939933251056	0.709166666666667	0.996860070389268	1.00432860927076
35	0.71	0.715738756696567	0.712916666666667	1.00395851319214	0.991982051212298
36	0.71	0.715498768162603	0.717083333333333	0.997790263562026	0.992314776199093
37	0.72	0.71570400152461	0.721666666666667	0.991737646454424	1.00600247932978
38	0.73	0.727851141100556	0.72625	1.00220466932951	1.00295233294021
39	0.74	0.73234887733408	0.730833333333333	1.00207372041151	1.01044737406272
40	0.74	0.741951299564095	0.735416666666667	1.00888561980387	0.99737004360631
41	0.74	0.743400863746172	0.739583333333333	1.00516173126243	0.995425262584396
42	0.74	0.744606472343985	0.74375	1.00115155945410	0.99381354780669
43	0.75	0.745213826006332	0.7475	0.996941573252618	1.00642255125528
44	0.75	0.748358911516907	0.750833333333333	0.996704432652928	1.00219291633712
45	0.76	0.751134638427262	0.75375	0.996530200235173	1.01180262647892
46	0.76	0.754290786594546	0.756666666666667	0.996860070389268	1.00756898202513
47	0.76	0.76300847002603	0.76	1.00395851319214	0.996057094849907
48	0.76	0.761646567852347	0.763333333333333	0.997790263562026	0.997838147085741
49	0.76	0.759918971595703	0.76625	0.991737646454424	1.00010662768970
50	0.77	0.77044483954706	0.76875	1.00220466932951	0.999422619862933
51	0.77	0.77243182615054	0.770833333333333	1.00207372041151	0.996851727145088
52	0.78	0.779364141298489	0.7725	1.00888561980387	1.00081586856235
53	0.78	0.779000341728383	0.775	1.00516173126243	1.00128325780885
54	0.78	0.779229630441773	0.778333333333333	1.00115155945410	1.00098862970315
55	0.78	0.779275996425797	0.781666666666667	0.996941573252618	1.00092907208425
56	0.78	0.782412979632549	0.785	0.996704432652928	0.99691597698995
57	0.78	0.785597974518728	0.788333333333333	0.996530200235173	0.992874250315936
58	0.78	0.788765530695508	0.79125	0.996860070389268	0.988887026176488
59	0.8	0.796473753799101	0.793333333333333	1.00395851319214	1.00442732253772
60	0.8	0.793659005474961	0.795416666666666	0.997790263562026	1.00798957043427
61	0.8	0.79132399706676	0.797916666666667	0.991737646454424	1.01096390728122
62	0.81	0.802181320742495	0.800416666666667	1.00220466932951	1.00974677302417
63	0.81	0.804164160630238	0.8025	1.00207372041151	1.00725702494027
64	0.81	0.812152923942114	0.805	1.00888561980387	0.997349115075934
65	0.8	0.812086915382438	0.807916666666667	1.00516173126243	0.985116229367215
66	0.81	0.811349909640925	0.810416666666667	1.00115155945410	0.99833621767269
67	0.81	NA	NA	0.996941573252618	NA
68	0.81	NA	NA	0.996704432652928	NA
69	0.8	NA	NA	0.996530200235173	NA
70	0.82	NA	NA	0.996860070389268	NA
71	0.83	NA	NA	1.00395851319214	NA
72	0.83	NA	NA	0.997790263562026	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 0.63 & NA & NA & 0.991737646454424 & NA \tabularnewline
2 & 0.64 & NA & NA & 1.00220466932951 & NA \tabularnewline
3 & 0.65 & NA & NA & 1.00207372041151 & NA \tabularnewline
4 & 0.65 & NA & NA & 1.00888561980387 & NA \tabularnewline
5 & 0.65 & NA & NA & 1.00516173126243 & NA \tabularnewline
6 & 0.65 & NA & NA & 1.00115155945410 & NA \tabularnewline
7 & 0.65 & 0.650088984225145 & 0.652083333333333 & 0.996941573252618 & 0.999863119930803 \tabularnewline
8 & 0.66 & 0.652841403387668 & 0.655 & 0.996704432652928 & 1.01096529199157 \tabularnewline
9 & 0.65 & 0.656049048488156 & 0.658333333333333 & 0.996530200235173 & 0.990779578901767 \tabularnewline
10 & 0.66 & 0.660004438270228 & 0.662083333333333 & 0.996860070389268 & 0.99999327539336 \tabularnewline
11 & 0.66 & 0.66930567546143 & 0.666666666666667 & 1.00395851319214 & 0.986096523901408 \tabularnewline
12 & 0.66 & 0.670182460359161 & 0.671666666666667 & 0.997790263562026 & 0.98480643561799 \tabularnewline
13 & 0.66 & 0.670662583414805 & 0.67625 & 0.991737646454424 & 0.984101418987005 \tabularnewline
14 & 0.68 & 0.681499175144066 & 0.68 & 1.00220466932951 & 0.997800180544974 \tabularnewline
15 & 0.69 & 0.685167906331371 & 0.68375 & 1.00207372041151 & 1.00705242266016 \tabularnewline
16 & 0.7 & 0.69360886361516 & 0.6875 & 1.00888561980387 & 1.00921432340344 \tabularnewline
17 & 0.71 & 0.694818046735155 & 0.69125 & 1.00516173126243 & 1.02185025754035 \tabularnewline
18 & 0.71 & 0.695800333820598 & 0.695 & 1.00115155945410 & 1.02040767370926 \tabularnewline
19 & 0.7 & 0.696197531988078 & 0.698333333333333 & 0.996941573252618 & 1.00546176600348 \tabularnewline
20 & 0.7 & 0.69852368988426 & 0.700833333333333 & 0.996704432652928 & 1.00211347179361 \tabularnewline
21 & 0.7 & 0.69923202383168 & 0.701666666666667 & 0.996530200235173 & 1.00109831378161 \tabularnewline
22 & 0.7 & 0.699463482723136 & 0.701666666666667 & 0.996860070389268 & 1.00076704115385 \tabularnewline
23 & 0.71 & 0.703607591328828 & 0.700833333333333 & 1.00395851319214 & 1.00908519002630 \tabularnewline
24 & 0.7 & 0.697621692607117 & 0.699166666666667 & 0.997790263562026 & 1.00340916490712 \tabularnewline
25 & 0.7 & 0.692150232421317 & 0.697916666666667 & 0.991737646454424 & 1.01134113261975 \tabularnewline
26 & 0.7 & 0.699037756857333 & 0.6975 & 1.00220466932951 & 1.00137652527811 \tabularnewline
27 & 0.69 & 0.69894641998703 & 0.6975 & 1.00207372041151 & 0.987200134758262 \tabularnewline
28 & 0.7 & 0.70411808882145 & 0.697916666666667 & 1.00888561980387 & 0.994151423054131 \tabularnewline
29 & 0.69 & 0.701937942331597 & 0.698333333333333 & 1.00516173126243 & 0.98299288069264 \tabularnewline
30 & 0.69 & 0.699554652168551 & 0.69875 & 1.00115155945410 & 0.986341807407138 \tabularnewline
31 & 0.69 & 0.697859101276833 & 0.7 & 0.996941573252618 & 0.988738269283222 \tabularnewline
32 & 0.7 & 0.699769570425077 & 0.702083333333333 & 0.996704432652928 & 1.00032929350555 \tabularnewline
33 & 0.7 & 0.702969012082562 & 0.705416666666667 & 0.996530200235173 & 0.995776468049757 \tabularnewline
34 & 0.71 & 0.706939933251056 & 0.709166666666667 & 0.996860070389268 & 1.00432860927076 \tabularnewline
35 & 0.71 & 0.715738756696567 & 0.712916666666667 & 1.00395851319214 & 0.991982051212298 \tabularnewline
36 & 0.71 & 0.715498768162603 & 0.717083333333333 & 0.997790263562026 & 0.992314776199093 \tabularnewline
37 & 0.72 & 0.71570400152461 & 0.721666666666667 & 0.991737646454424 & 1.00600247932978 \tabularnewline
38 & 0.73 & 0.727851141100556 & 0.72625 & 1.00220466932951 & 1.00295233294021 \tabularnewline
39 & 0.74 & 0.73234887733408 & 0.730833333333333 & 1.00207372041151 & 1.01044737406272 \tabularnewline
40 & 0.74 & 0.741951299564095 & 0.735416666666667 & 1.00888561980387 & 0.99737004360631 \tabularnewline
41 & 0.74 & 0.743400863746172 & 0.739583333333333 & 1.00516173126243 & 0.995425262584396 \tabularnewline
42 & 0.74 & 0.744606472343985 & 0.74375 & 1.00115155945410 & 0.99381354780669 \tabularnewline
43 & 0.75 & 0.745213826006332 & 0.7475 & 0.996941573252618 & 1.00642255125528 \tabularnewline
44 & 0.75 & 0.748358911516907 & 0.750833333333333 & 0.996704432652928 & 1.00219291633712 \tabularnewline
45 & 0.76 & 0.751134638427262 & 0.75375 & 0.996530200235173 & 1.01180262647892 \tabularnewline
46 & 0.76 & 0.754290786594546 & 0.756666666666667 & 0.996860070389268 & 1.00756898202513 \tabularnewline
47 & 0.76 & 0.76300847002603 & 0.76 & 1.00395851319214 & 0.996057094849907 \tabularnewline
48 & 0.76 & 0.761646567852347 & 0.763333333333333 & 0.997790263562026 & 0.997838147085741 \tabularnewline
49 & 0.76 & 0.759918971595703 & 0.76625 & 0.991737646454424 & 1.00010662768970 \tabularnewline
50 & 0.77 & 0.77044483954706 & 0.76875 & 1.00220466932951 & 0.999422619862933 \tabularnewline
51 & 0.77 & 0.77243182615054 & 0.770833333333333 & 1.00207372041151 & 0.996851727145088 \tabularnewline
52 & 0.78 & 0.779364141298489 & 0.7725 & 1.00888561980387 & 1.00081586856235 \tabularnewline
53 & 0.78 & 0.779000341728383 & 0.775 & 1.00516173126243 & 1.00128325780885 \tabularnewline
54 & 0.78 & 0.779229630441773 & 0.778333333333333 & 1.00115155945410 & 1.00098862970315 \tabularnewline
55 & 0.78 & 0.779275996425797 & 0.781666666666667 & 0.996941573252618 & 1.00092907208425 \tabularnewline
56 & 0.78 & 0.782412979632549 & 0.785 & 0.996704432652928 & 0.99691597698995 \tabularnewline
57 & 0.78 & 0.785597974518728 & 0.788333333333333 & 0.996530200235173 & 0.992874250315936 \tabularnewline
58 & 0.78 & 0.788765530695508 & 0.79125 & 0.996860070389268 & 0.988887026176488 \tabularnewline
59 & 0.8 & 0.796473753799101 & 0.793333333333333 & 1.00395851319214 & 1.00442732253772 \tabularnewline
60 & 0.8 & 0.793659005474961 & 0.795416666666666 & 0.997790263562026 & 1.00798957043427 \tabularnewline
61 & 0.8 & 0.79132399706676 & 0.797916666666667 & 0.991737646454424 & 1.01096390728122 \tabularnewline
62 & 0.81 & 0.802181320742495 & 0.800416666666667 & 1.00220466932951 & 1.00974677302417 \tabularnewline
63 & 0.81 & 0.804164160630238 & 0.8025 & 1.00207372041151 & 1.00725702494027 \tabularnewline
64 & 0.81 & 0.812152923942114 & 0.805 & 1.00888561980387 & 0.997349115075934 \tabularnewline
65 & 0.8 & 0.812086915382438 & 0.807916666666667 & 1.00516173126243 & 0.985116229367215 \tabularnewline
66 & 0.81 & 0.811349909640925 & 0.810416666666667 & 1.00115155945410 & 0.99833621767269 \tabularnewline
67 & 0.81 & NA & NA & 0.996941573252618 & NA \tabularnewline
68 & 0.81 & NA & NA & 0.996704432652928 & NA \tabularnewline
69 & 0.8 & NA & NA & 0.996530200235173 & NA \tabularnewline
70 & 0.82 & NA & NA & 0.996860070389268 & NA \tabularnewline
71 & 0.83 & NA & NA & 1.00395851319214 & NA \tabularnewline
72 & 0.83 & NA & NA & 0.997790263562026 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13660&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]0.63[/C][C]NA[/C][C]NA[/C][C]0.991737646454424[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]0.64[/C][C]NA[/C][C]NA[/C][C]1.00220466932951[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]0.65[/C][C]NA[/C][C]NA[/C][C]1.00207372041151[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]0.65[/C][C]NA[/C][C]NA[/C][C]1.00888561980387[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]0.65[/C][C]NA[/C][C]NA[/C][C]1.00516173126243[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]0.65[/C][C]NA[/C][C]NA[/C][C]1.00115155945410[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]0.65[/C][C]0.650088984225145[/C][C]0.652083333333333[/C][C]0.996941573252618[/C][C]0.999863119930803[/C][/ROW]
[ROW][C]8[/C][C]0.66[/C][C]0.652841403387668[/C][C]0.655[/C][C]0.996704432652928[/C][C]1.01096529199157[/C][/ROW]
[ROW][C]9[/C][C]0.65[/C][C]0.656049048488156[/C][C]0.658333333333333[/C][C]0.996530200235173[/C][C]0.990779578901767[/C][/ROW]
[ROW][C]10[/C][C]0.66[/C][C]0.660004438270228[/C][C]0.662083333333333[/C][C]0.996860070389268[/C][C]0.99999327539336[/C][/ROW]
[ROW][C]11[/C][C]0.66[/C][C]0.66930567546143[/C][C]0.666666666666667[/C][C]1.00395851319214[/C][C]0.986096523901408[/C][/ROW]
[ROW][C]12[/C][C]0.66[/C][C]0.670182460359161[/C][C]0.671666666666667[/C][C]0.997790263562026[/C][C]0.98480643561799[/C][/ROW]
[ROW][C]13[/C][C]0.66[/C][C]0.670662583414805[/C][C]0.67625[/C][C]0.991737646454424[/C][C]0.984101418987005[/C][/ROW]
[ROW][C]14[/C][C]0.68[/C][C]0.681499175144066[/C][C]0.68[/C][C]1.00220466932951[/C][C]0.997800180544974[/C][/ROW]
[ROW][C]15[/C][C]0.69[/C][C]0.685167906331371[/C][C]0.68375[/C][C]1.00207372041151[/C][C]1.00705242266016[/C][/ROW]
[ROW][C]16[/C][C]0.7[/C][C]0.69360886361516[/C][C]0.6875[/C][C]1.00888561980387[/C][C]1.00921432340344[/C][/ROW]
[ROW][C]17[/C][C]0.71[/C][C]0.694818046735155[/C][C]0.69125[/C][C]1.00516173126243[/C][C]1.02185025754035[/C][/ROW]
[ROW][C]18[/C][C]0.71[/C][C]0.695800333820598[/C][C]0.695[/C][C]1.00115155945410[/C][C]1.02040767370926[/C][/ROW]
[ROW][C]19[/C][C]0.7[/C][C]0.696197531988078[/C][C]0.698333333333333[/C][C]0.996941573252618[/C][C]1.00546176600348[/C][/ROW]
[ROW][C]20[/C][C]0.7[/C][C]0.69852368988426[/C][C]0.700833333333333[/C][C]0.996704432652928[/C][C]1.00211347179361[/C][/ROW]
[ROW][C]21[/C][C]0.7[/C][C]0.69923202383168[/C][C]0.701666666666667[/C][C]0.996530200235173[/C][C]1.00109831378161[/C][/ROW]
[ROW][C]22[/C][C]0.7[/C][C]0.699463482723136[/C][C]0.701666666666667[/C][C]0.996860070389268[/C][C]1.00076704115385[/C][/ROW]
[ROW][C]23[/C][C]0.71[/C][C]0.703607591328828[/C][C]0.700833333333333[/C][C]1.00395851319214[/C][C]1.00908519002630[/C][/ROW]
[ROW][C]24[/C][C]0.7[/C][C]0.697621692607117[/C][C]0.699166666666667[/C][C]0.997790263562026[/C][C]1.00340916490712[/C][/ROW]
[ROW][C]25[/C][C]0.7[/C][C]0.692150232421317[/C][C]0.697916666666667[/C][C]0.991737646454424[/C][C]1.01134113261975[/C][/ROW]
[ROW][C]26[/C][C]0.7[/C][C]0.699037756857333[/C][C]0.6975[/C][C]1.00220466932951[/C][C]1.00137652527811[/C][/ROW]
[ROW][C]27[/C][C]0.69[/C][C]0.69894641998703[/C][C]0.6975[/C][C]1.00207372041151[/C][C]0.987200134758262[/C][/ROW]
[ROW][C]28[/C][C]0.7[/C][C]0.70411808882145[/C][C]0.697916666666667[/C][C]1.00888561980387[/C][C]0.994151423054131[/C][/ROW]
[ROW][C]29[/C][C]0.69[/C][C]0.701937942331597[/C][C]0.698333333333333[/C][C]1.00516173126243[/C][C]0.98299288069264[/C][/ROW]
[ROW][C]30[/C][C]0.69[/C][C]0.699554652168551[/C][C]0.69875[/C][C]1.00115155945410[/C][C]0.986341807407138[/C][/ROW]
[ROW][C]31[/C][C]0.69[/C][C]0.697859101276833[/C][C]0.7[/C][C]0.996941573252618[/C][C]0.988738269283222[/C][/ROW]
[ROW][C]32[/C][C]0.7[/C][C]0.699769570425077[/C][C]0.702083333333333[/C][C]0.996704432652928[/C][C]1.00032929350555[/C][/ROW]
[ROW][C]33[/C][C]0.7[/C][C]0.702969012082562[/C][C]0.705416666666667[/C][C]0.996530200235173[/C][C]0.995776468049757[/C][/ROW]
[ROW][C]34[/C][C]0.71[/C][C]0.706939933251056[/C][C]0.709166666666667[/C][C]0.996860070389268[/C][C]1.00432860927076[/C][/ROW]
[ROW][C]35[/C][C]0.71[/C][C]0.715738756696567[/C][C]0.712916666666667[/C][C]1.00395851319214[/C][C]0.991982051212298[/C][/ROW]
[ROW][C]36[/C][C]0.71[/C][C]0.715498768162603[/C][C]0.717083333333333[/C][C]0.997790263562026[/C][C]0.992314776199093[/C][/ROW]
[ROW][C]37[/C][C]0.72[/C][C]0.71570400152461[/C][C]0.721666666666667[/C][C]0.991737646454424[/C][C]1.00600247932978[/C][/ROW]
[ROW][C]38[/C][C]0.73[/C][C]0.727851141100556[/C][C]0.72625[/C][C]1.00220466932951[/C][C]1.00295233294021[/C][/ROW]
[ROW][C]39[/C][C]0.74[/C][C]0.73234887733408[/C][C]0.730833333333333[/C][C]1.00207372041151[/C][C]1.01044737406272[/C][/ROW]
[ROW][C]40[/C][C]0.74[/C][C]0.741951299564095[/C][C]0.735416666666667[/C][C]1.00888561980387[/C][C]0.99737004360631[/C][/ROW]
[ROW][C]41[/C][C]0.74[/C][C]0.743400863746172[/C][C]0.739583333333333[/C][C]1.00516173126243[/C][C]0.995425262584396[/C][/ROW]
[ROW][C]42[/C][C]0.74[/C][C]0.744606472343985[/C][C]0.74375[/C][C]1.00115155945410[/C][C]0.99381354780669[/C][/ROW]
[ROW][C]43[/C][C]0.75[/C][C]0.745213826006332[/C][C]0.7475[/C][C]0.996941573252618[/C][C]1.00642255125528[/C][/ROW]
[ROW][C]44[/C][C]0.75[/C][C]0.748358911516907[/C][C]0.750833333333333[/C][C]0.996704432652928[/C][C]1.00219291633712[/C][/ROW]
[ROW][C]45[/C][C]0.76[/C][C]0.751134638427262[/C][C]0.75375[/C][C]0.996530200235173[/C][C]1.01180262647892[/C][/ROW]
[ROW][C]46[/C][C]0.76[/C][C]0.754290786594546[/C][C]0.756666666666667[/C][C]0.996860070389268[/C][C]1.00756898202513[/C][/ROW]
[ROW][C]47[/C][C]0.76[/C][C]0.76300847002603[/C][C]0.76[/C][C]1.00395851319214[/C][C]0.996057094849907[/C][/ROW]
[ROW][C]48[/C][C]0.76[/C][C]0.761646567852347[/C][C]0.763333333333333[/C][C]0.997790263562026[/C][C]0.997838147085741[/C][/ROW]
[ROW][C]49[/C][C]0.76[/C][C]0.759918971595703[/C][C]0.76625[/C][C]0.991737646454424[/C][C]1.00010662768970[/C][/ROW]
[ROW][C]50[/C][C]0.77[/C][C]0.77044483954706[/C][C]0.76875[/C][C]1.00220466932951[/C][C]0.999422619862933[/C][/ROW]
[ROW][C]51[/C][C]0.77[/C][C]0.77243182615054[/C][C]0.770833333333333[/C][C]1.00207372041151[/C][C]0.996851727145088[/C][/ROW]
[ROW][C]52[/C][C]0.78[/C][C]0.779364141298489[/C][C]0.7725[/C][C]1.00888561980387[/C][C]1.00081586856235[/C][/ROW]
[ROW][C]53[/C][C]0.78[/C][C]0.779000341728383[/C][C]0.775[/C][C]1.00516173126243[/C][C]1.00128325780885[/C][/ROW]
[ROW][C]54[/C][C]0.78[/C][C]0.779229630441773[/C][C]0.778333333333333[/C][C]1.00115155945410[/C][C]1.00098862970315[/C][/ROW]
[ROW][C]55[/C][C]0.78[/C][C]0.779275996425797[/C][C]0.781666666666667[/C][C]0.996941573252618[/C][C]1.00092907208425[/C][/ROW]
[ROW][C]56[/C][C]0.78[/C][C]0.782412979632549[/C][C]0.785[/C][C]0.996704432652928[/C][C]0.99691597698995[/C][/ROW]
[ROW][C]57[/C][C]0.78[/C][C]0.785597974518728[/C][C]0.788333333333333[/C][C]0.996530200235173[/C][C]0.992874250315936[/C][/ROW]
[ROW][C]58[/C][C]0.78[/C][C]0.788765530695508[/C][C]0.79125[/C][C]0.996860070389268[/C][C]0.988887026176488[/C][/ROW]
[ROW][C]59[/C][C]0.8[/C][C]0.796473753799101[/C][C]0.793333333333333[/C][C]1.00395851319214[/C][C]1.00442732253772[/C][/ROW]
[ROW][C]60[/C][C]0.8[/C][C]0.793659005474961[/C][C]0.795416666666666[/C][C]0.997790263562026[/C][C]1.00798957043427[/C][/ROW]
[ROW][C]61[/C][C]0.8[/C][C]0.79132399706676[/C][C]0.797916666666667[/C][C]0.991737646454424[/C][C]1.01096390728122[/C][/ROW]
[ROW][C]62[/C][C]0.81[/C][C]0.802181320742495[/C][C]0.800416666666667[/C][C]1.00220466932951[/C][C]1.00974677302417[/C][/ROW]
[ROW][C]63[/C][C]0.81[/C][C]0.804164160630238[/C][C]0.8025[/C][C]1.00207372041151[/C][C]1.00725702494027[/C][/ROW]
[ROW][C]64[/C][C]0.81[/C][C]0.812152923942114[/C][C]0.805[/C][C]1.00888561980387[/C][C]0.997349115075934[/C][/ROW]
[ROW][C]65[/C][C]0.8[/C][C]0.812086915382438[/C][C]0.807916666666667[/C][C]1.00516173126243[/C][C]0.985116229367215[/C][/ROW]
[ROW][C]66[/C][C]0.81[/C][C]0.811349909640925[/C][C]0.810416666666667[/C][C]1.00115155945410[/C][C]0.99833621767269[/C][/ROW]
[ROW][C]67[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]0.996941573252618[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]0.81[/C][C]NA[/C][C]NA[/C][C]0.996704432652928[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]0.8[/C][C]NA[/C][C]NA[/C][C]0.996530200235173[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]0.82[/C][C]NA[/C][C]NA[/C][C]0.996860070389268[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]0.83[/C][C]NA[/C][C]NA[/C][C]1.00395851319214[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]0.83[/C][C]NA[/C][C]NA[/C][C]0.997790263562026[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13660&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13660&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	0.63	NA	NA	0.991737646454424	NA
2	0.64	NA	NA	1.00220466932951	NA
3	0.65	NA	NA	1.00207372041151	NA
4	0.65	NA	NA	1.00888561980387	NA
5	0.65	NA	NA	1.00516173126243	NA
6	0.65	NA	NA	1.00115155945410	NA
7	0.65	0.650088984225145	0.652083333333333	0.996941573252618	0.999863119930803
8	0.66	0.652841403387668	0.655	0.996704432652928	1.01096529199157
9	0.65	0.656049048488156	0.658333333333333	0.996530200235173	0.990779578901767
10	0.66	0.660004438270228	0.662083333333333	0.996860070389268	0.99999327539336
11	0.66	0.66930567546143	0.666666666666667	1.00395851319214	0.986096523901408
12	0.66	0.670182460359161	0.671666666666667	0.997790263562026	0.98480643561799
13	0.66	0.670662583414805	0.67625	0.991737646454424	0.984101418987005
14	0.68	0.681499175144066	0.68	1.00220466932951	0.997800180544974
15	0.69	0.685167906331371	0.68375	1.00207372041151	1.00705242266016
16	0.7	0.69360886361516	0.6875	1.00888561980387	1.00921432340344
17	0.71	0.694818046735155	0.69125	1.00516173126243	1.02185025754035
18	0.71	0.695800333820598	0.695	1.00115155945410	1.02040767370926
19	0.7	0.696197531988078	0.698333333333333	0.996941573252618	1.00546176600348
20	0.7	0.69852368988426	0.700833333333333	0.996704432652928	1.00211347179361
21	0.7	0.69923202383168	0.701666666666667	0.996530200235173	1.00109831378161
22	0.7	0.699463482723136	0.701666666666667	0.996860070389268	1.00076704115385
23	0.71	0.703607591328828	0.700833333333333	1.00395851319214	1.00908519002630
24	0.7	0.697621692607117	0.699166666666667	0.997790263562026	1.00340916490712
25	0.7	0.692150232421317	0.697916666666667	0.991737646454424	1.01134113261975
26	0.7	0.699037756857333	0.6975	1.00220466932951	1.00137652527811
27	0.69	0.69894641998703	0.6975	1.00207372041151	0.987200134758262
28	0.7	0.70411808882145	0.697916666666667	1.00888561980387	0.994151423054131
29	0.69	0.701937942331597	0.698333333333333	1.00516173126243	0.98299288069264
30	0.69	0.699554652168551	0.69875	1.00115155945410	0.986341807407138
31	0.69	0.697859101276833	0.7	0.996941573252618	0.988738269283222
32	0.7	0.699769570425077	0.702083333333333	0.996704432652928	1.00032929350555
33	0.7	0.702969012082562	0.705416666666667	0.996530200235173	0.995776468049757
34	0.71	0.706939933251056	0.709166666666667	0.996860070389268	1.00432860927076
35	0.71	0.715738756696567	0.712916666666667	1.00395851319214	0.991982051212298
36	0.71	0.715498768162603	0.717083333333333	0.997790263562026	0.992314776199093
37	0.72	0.71570400152461	0.721666666666667	0.991737646454424	1.00600247932978
38	0.73	0.727851141100556	0.72625	1.00220466932951	1.00295233294021
39	0.74	0.73234887733408	0.730833333333333	1.00207372041151	1.01044737406272
40	0.74	0.741951299564095	0.735416666666667	1.00888561980387	0.99737004360631
41	0.74	0.743400863746172	0.739583333333333	1.00516173126243	0.995425262584396
42	0.74	0.744606472343985	0.74375	1.00115155945410	0.99381354780669
43	0.75	0.745213826006332	0.7475	0.996941573252618	1.00642255125528
44	0.75	0.748358911516907	0.750833333333333	0.996704432652928	1.00219291633712
45	0.76	0.751134638427262	0.75375	0.996530200235173	1.01180262647892
46	0.76	0.754290786594546	0.756666666666667	0.996860070389268	1.00756898202513
47	0.76	0.76300847002603	0.76	1.00395851319214	0.996057094849907
48	0.76	0.761646567852347	0.763333333333333	0.997790263562026	0.997838147085741
49	0.76	0.759918971595703	0.76625	0.991737646454424	1.00010662768970
50	0.77	0.77044483954706	0.76875	1.00220466932951	0.999422619862933
51	0.77	0.77243182615054	0.770833333333333	1.00207372041151	0.996851727145088
52	0.78	0.779364141298489	0.7725	1.00888561980387	1.00081586856235
53	0.78	0.779000341728383	0.775	1.00516173126243	1.00128325780885
54	0.78	0.779229630441773	0.778333333333333	1.00115155945410	1.00098862970315
55	0.78	0.779275996425797	0.781666666666667	0.996941573252618	1.00092907208425
56	0.78	0.782412979632549	0.785	0.996704432652928	0.99691597698995
57	0.78	0.785597974518728	0.788333333333333	0.996530200235173	0.992874250315936
58	0.78	0.788765530695508	0.79125	0.996860070389268	0.988887026176488
59	0.8	0.796473753799101	0.793333333333333	1.00395851319214	1.00442732253772
60	0.8	0.793659005474961	0.795416666666666	0.997790263562026	1.00798957043427
61	0.8	0.79132399706676	0.797916666666667	0.991737646454424	1.01096390728122
62	0.81	0.802181320742495	0.800416666666667	1.00220466932951	1.00974677302417
63	0.81	0.804164160630238	0.8025	1.00207372041151	1.00725702494027
64	0.81	0.812152923942114	0.805	1.00888561980387	0.997349115075934
65	0.8	0.812086915382438	0.807916666666667	1.00516173126243	0.985116229367215
66	0.81	0.811349909640925	0.810416666666667	1.00115155945410	0.99833621767269
67	0.81	NA	NA	0.996941573252618	NA
68	0.81	NA	NA	0.996704432652928	NA
69	0.8	NA	NA	0.996530200235173	NA
70	0.82	NA	NA	0.996860070389268	NA
71	0.83	NA	NA	1.00395851319214	NA
72	0.83	NA	NA	0.997790263562026	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 = multiplicative ; par2 = 12 ;

Parameters (R input):

par1 = multiplicative ; 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