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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Tue, 30 Nov 2010 18:43:48 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/30/t1291142526aps9qthlfqpoghp.htm/, Retrieved Tue, 25 Aug 2026 16:37:32 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=103734, Retrieved Tue, 25 Aug 2026 16:37:32 +0000

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No (this computation is public)

User-defined keywords

Estimated Impact

436

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

-     [Classical Decomposition] [HPC Retail Sales] [2008-03-02 16:19:32] [74be16979710d4c4e7c6647856088456]
-  M D    [Classical Decomposition] [classical decompo...] [2010-11-30 18:43:48] [214713b86cef2e1efaaf6d85aa84ff3c] [Current]

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Dataseries X:

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Histogram

Boxplots

0,96
0,95
0,95
0,96
0,96
0,96
0,95
0,96
0,96
0,96
0,95
0,95
0,96
0,96
0,96
0,96
0,96
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,96
0,96
0,96
0,97
0,97
0,97
0,96
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,95
0,94
0,94
0,94
0,93
0,93
0,93
0,93
0,92
0,93

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=103734&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=103734&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103734&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	0.96	NA	NA	-0.00238425925925918	NA
2	0.95	NA	NA	-0.00224537037037038	NA
3	0.95	NA	NA	-0.00196759259259259	NA
4	0.96	NA	NA	0.00164351851851853	NA
5	0.96	NA	NA	0.00192129629629635	NA
6	0.96	NA	NA	-0.00113425925925928	NA
7	0.95	0.958449074074074	0.955833333333333	0.00261574074074075	-0.00844907407407391
8	0.96	0.959560185185185	0.95625	0.00331018518518519	0.000439814814814921
9	0.96	0.961226851851851	0.957083333333333	0.00414351851851851	-0.00122685185185145
10	0.96	0.959143518518518	0.9575	0.00164351851851856	0.000856481481481652
11	0.95	0.953310185185185	0.9575	-0.00418981481481491	-0.00331018518518478
12	0.95	0.953726851851851	0.957083333333333	-0.00335648148148155	-0.00372685185185151
13	0.96	0.954282407407407	0.956666666666666	-0.00238425925925918	0.00571759259259297
14	0.96	0.95400462962963	0.95625	-0.00224537037037038	0.00599537037037057
15	0.96	0.953449074074074	0.955416666666666	-0.00196759259259259	0.0065509259259261
16	0.96	0.956226851851852	0.954583333333333	0.00164351851851853	0.00377314814814833
17	0.96	0.956087962962963	0.954166666666666	0.00192129629629635	0.00391203703703724
18	0.95	0.953032407407407	0.954166666666666	-0.00113425925925928	-0.00303240740740729
19	0.95	0.95636574074074	0.95375	0.00261574074074075	-0.0063657407407407
20	0.95	0.956226851851852	0.952916666666667	0.00331018518518519	-0.00622685185185179
21	0.95	0.956226851851852	0.952083333333333	0.00414351851851851	-0.00622685185185168
22	0.95	0.953310185185185	0.951666666666666	0.00164351851851856	-0.00331018518518489
23	0.95	0.947476851851851	0.951666666666666	-0.00418981481481491	0.00252314814814847
24	0.95	0.948726851851851	0.952083333333333	-0.00335648148148155	0.00127314814814861
25	0.95	0.950949074074074	0.953333333333333	-0.00238425925925918	-0.000949074074073741
26	0.95	0.95275462962963	0.955	-0.00224537037037038	-0.00275462962962925
27	0.95	0.954699074074074	0.956666666666666	-0.00196759259259259	-0.00469907407407377
28	0.96	0.959560185185185	0.957916666666666	0.00164351851851853	0.000439814814815143
29	0.96	0.96025462962963	0.958333333333333	0.00192129629629635	-0.000254629629629410
30	0.96	0.957199074074074	0.958333333333333	-0.00113425925925928	0.00280092592592618
31	0.97	0.960949074074074	0.958333333333333	0.00261574074074075	0.00905092592592616
32	0.97	0.961643518518518	0.958333333333333	0.00331018518518519	0.00835648148148171
33	0.97	0.962476851851852	0.958333333333333	0.00414351851851851	0.00752314814814836
34	0.96	0.959560185185185	0.957916666666667	0.00164351851851856	0.000439814814814921
35	0.95	0.952893518518518	0.957083333333333	-0.00418981481481491	-0.00289351851851838
36	0.95	0.952893518518518	0.95625	-0.00335648148148155	-0.00289351851851838
37	0.95	0.95261574074074	0.955	-0.00238425925925918	-0.00261574074074067
38	0.95	0.951087962962963	0.953333333333333	-0.00224537037037038	-0.00108796296296276
39	0.95	0.949699074074074	0.951666666666666	-0.00196759259259259	0.000300925925926121
40	0.95	0.952060185185185	0.950416666666666	0.00164351851851853	-0.00206018518518503
41	0.95	0.95150462962963	0.949583333333333	0.00192129629629635	-0.00150462962962938
42	0.95	0.94761574074074	0.94875	-0.00113425925925928	0.00238425925925945
43	0.95	0.950532407407407	0.947916666666666	0.00261574074074075	-0.000532407407407121
44	0.95	0.949976851851852	0.946666666666666	0.00331018518518519	2.31481481484108e-05
45	0.95	0.949143518518518	0.945	0.00414351851851851	0.000856481481481874
46	0.95	0.944976851851851	0.943333333333333	0.00164351851851856	0.00502314814814853
47	0.94	0.937476851851851	0.941666666666666	-0.00418981481481491	0.00252314814814847
48	0.94	0.936226851851852	0.939583333333333	-0.00335648148148155	0.00377314814814833
49	0.94	NA	0.9375	NA	NA
50	0.93	NA	NA	NA	NA
51	0.93	NA	NA	NA	NA
52	0.93	NA	NA	NA	NA
53	0.93	NA	NA	NA	NA
54	0.92	NA	NA	NA	NA
55	0.93	NA	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 0.96 & NA & NA & -0.00238425925925918 & NA \tabularnewline
2 & 0.95 & NA & NA & -0.00224537037037038 & NA \tabularnewline
3 & 0.95 & NA & NA & -0.00196759259259259 & NA \tabularnewline
4 & 0.96 & NA & NA & 0.00164351851851853 & NA \tabularnewline
5 & 0.96 & NA & NA & 0.00192129629629635 & NA \tabularnewline
6 & 0.96 & NA & NA & -0.00113425925925928 & NA \tabularnewline
7 & 0.95 & 0.958449074074074 & 0.955833333333333 & 0.00261574074074075 & -0.00844907407407391 \tabularnewline
8 & 0.96 & 0.959560185185185 & 0.95625 & 0.00331018518518519 & 0.000439814814814921 \tabularnewline
9 & 0.96 & 0.961226851851851 & 0.957083333333333 & 0.00414351851851851 & -0.00122685185185145 \tabularnewline
10 & 0.96 & 0.959143518518518 & 0.9575 & 0.00164351851851856 & 0.000856481481481652 \tabularnewline
11 & 0.95 & 0.953310185185185 & 0.9575 & -0.00418981481481491 & -0.00331018518518478 \tabularnewline
12 & 0.95 & 0.953726851851851 & 0.957083333333333 & -0.00335648148148155 & -0.00372685185185151 \tabularnewline
13 & 0.96 & 0.954282407407407 & 0.956666666666666 & -0.00238425925925918 & 0.00571759259259297 \tabularnewline
14 & 0.96 & 0.95400462962963 & 0.95625 & -0.00224537037037038 & 0.00599537037037057 \tabularnewline
15 & 0.96 & 0.953449074074074 & 0.955416666666666 & -0.00196759259259259 & 0.0065509259259261 \tabularnewline
16 & 0.96 & 0.956226851851852 & 0.954583333333333 & 0.00164351851851853 & 0.00377314814814833 \tabularnewline
17 & 0.96 & 0.956087962962963 & 0.954166666666666 & 0.00192129629629635 & 0.00391203703703724 \tabularnewline
18 & 0.95 & 0.953032407407407 & 0.954166666666666 & -0.00113425925925928 & -0.00303240740740729 \tabularnewline
19 & 0.95 & 0.95636574074074 & 0.95375 & 0.00261574074074075 & -0.0063657407407407 \tabularnewline
20 & 0.95 & 0.956226851851852 & 0.952916666666667 & 0.00331018518518519 & -0.00622685185185179 \tabularnewline
21 & 0.95 & 0.956226851851852 & 0.952083333333333 & 0.00414351851851851 & -0.00622685185185168 \tabularnewline
22 & 0.95 & 0.953310185185185 & 0.951666666666666 & 0.00164351851851856 & -0.00331018518518489 \tabularnewline
23 & 0.95 & 0.947476851851851 & 0.951666666666666 & -0.00418981481481491 & 0.00252314814814847 \tabularnewline
24 & 0.95 & 0.948726851851851 & 0.952083333333333 & -0.00335648148148155 & 0.00127314814814861 \tabularnewline
25 & 0.95 & 0.950949074074074 & 0.953333333333333 & -0.00238425925925918 & -0.000949074074073741 \tabularnewline
26 & 0.95 & 0.95275462962963 & 0.955 & -0.00224537037037038 & -0.00275462962962925 \tabularnewline
27 & 0.95 & 0.954699074074074 & 0.956666666666666 & -0.00196759259259259 & -0.00469907407407377 \tabularnewline
28 & 0.96 & 0.959560185185185 & 0.957916666666666 & 0.00164351851851853 & 0.000439814814815143 \tabularnewline
29 & 0.96 & 0.96025462962963 & 0.958333333333333 & 0.00192129629629635 & -0.000254629629629410 \tabularnewline
30 & 0.96 & 0.957199074074074 & 0.958333333333333 & -0.00113425925925928 & 0.00280092592592618 \tabularnewline
31 & 0.97 & 0.960949074074074 & 0.958333333333333 & 0.00261574074074075 & 0.00905092592592616 \tabularnewline
32 & 0.97 & 0.961643518518518 & 0.958333333333333 & 0.00331018518518519 & 0.00835648148148171 \tabularnewline
33 & 0.97 & 0.962476851851852 & 0.958333333333333 & 0.00414351851851851 & 0.00752314814814836 \tabularnewline
34 & 0.96 & 0.959560185185185 & 0.957916666666667 & 0.00164351851851856 & 0.000439814814814921 \tabularnewline
35 & 0.95 & 0.952893518518518 & 0.957083333333333 & -0.00418981481481491 & -0.00289351851851838 \tabularnewline
36 & 0.95 & 0.952893518518518 & 0.95625 & -0.00335648148148155 & -0.00289351851851838 \tabularnewline
37 & 0.95 & 0.95261574074074 & 0.955 & -0.00238425925925918 & -0.00261574074074067 \tabularnewline
38 & 0.95 & 0.951087962962963 & 0.953333333333333 & -0.00224537037037038 & -0.00108796296296276 \tabularnewline
39 & 0.95 & 0.949699074074074 & 0.951666666666666 & -0.00196759259259259 & 0.000300925925926121 \tabularnewline
40 & 0.95 & 0.952060185185185 & 0.950416666666666 & 0.00164351851851853 & -0.00206018518518503 \tabularnewline
41 & 0.95 & 0.95150462962963 & 0.949583333333333 & 0.00192129629629635 & -0.00150462962962938 \tabularnewline
42 & 0.95 & 0.94761574074074 & 0.94875 & -0.00113425925925928 & 0.00238425925925945 \tabularnewline
43 & 0.95 & 0.950532407407407 & 0.947916666666666 & 0.00261574074074075 & -0.000532407407407121 \tabularnewline
44 & 0.95 & 0.949976851851852 & 0.946666666666666 & 0.00331018518518519 & 2.31481481484108e-05 \tabularnewline
45 & 0.95 & 0.949143518518518 & 0.945 & 0.00414351851851851 & 0.000856481481481874 \tabularnewline
46 & 0.95 & 0.944976851851851 & 0.943333333333333 & 0.00164351851851856 & 0.00502314814814853 \tabularnewline
47 & 0.94 & 0.937476851851851 & 0.941666666666666 & -0.00418981481481491 & 0.00252314814814847 \tabularnewline
48 & 0.94 & 0.936226851851852 & 0.939583333333333 & -0.00335648148148155 & 0.00377314814814833 \tabularnewline
49 & 0.94 & NA & 0.9375 & NA & NA \tabularnewline
50 & 0.93 & NA & NA & NA & NA \tabularnewline
51 & 0.93 & NA & NA & NA & NA \tabularnewline
52 & 0.93 & NA & NA & NA & NA \tabularnewline
53 & 0.93 & NA & NA & NA & NA \tabularnewline
54 & 0.92 & NA & NA & NA & NA \tabularnewline
55 & 0.93 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=103734&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]0.96[/C][C]NA[/C][C]NA[/C][C]-0.00238425925925918[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]0.95[/C][C]NA[/C][C]NA[/C][C]-0.00224537037037038[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]0.95[/C][C]NA[/C][C]NA[/C][C]-0.00196759259259259[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]0.96[/C][C]NA[/C][C]NA[/C][C]0.00164351851851853[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]0.96[/C][C]NA[/C][C]NA[/C][C]0.00192129629629635[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]0.96[/C][C]NA[/C][C]NA[/C][C]-0.00113425925925928[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]0.95[/C][C]0.958449074074074[/C][C]0.955833333333333[/C][C]0.00261574074074075[/C][C]-0.00844907407407391[/C][/ROW]
[ROW][C]8[/C][C]0.96[/C][C]0.959560185185185[/C][C]0.95625[/C][C]0.00331018518518519[/C][C]0.000439814814814921[/C][/ROW]
[ROW][C]9[/C][C]0.96[/C][C]0.961226851851851[/C][C]0.957083333333333[/C][C]0.00414351851851851[/C][C]-0.00122685185185145[/C][/ROW]
[ROW][C]10[/C][C]0.96[/C][C]0.959143518518518[/C][C]0.9575[/C][C]0.00164351851851856[/C][C]0.000856481481481652[/C][/ROW]
[ROW][C]11[/C][C]0.95[/C][C]0.953310185185185[/C][C]0.9575[/C][C]-0.00418981481481491[/C][C]-0.00331018518518478[/C][/ROW]
[ROW][C]12[/C][C]0.95[/C][C]0.953726851851851[/C][C]0.957083333333333[/C][C]-0.00335648148148155[/C][C]-0.00372685185185151[/C][/ROW]
[ROW][C]13[/C][C]0.96[/C][C]0.954282407407407[/C][C]0.956666666666666[/C][C]-0.00238425925925918[/C][C]0.00571759259259297[/C][/ROW]
[ROW][C]14[/C][C]0.96[/C][C]0.95400462962963[/C][C]0.95625[/C][C]-0.00224537037037038[/C][C]0.00599537037037057[/C][/ROW]
[ROW][C]15[/C][C]0.96[/C][C]0.953449074074074[/C][C]0.955416666666666[/C][C]-0.00196759259259259[/C][C]0.0065509259259261[/C][/ROW]
[ROW][C]16[/C][C]0.96[/C][C]0.956226851851852[/C][C]0.954583333333333[/C][C]0.00164351851851853[/C][C]0.00377314814814833[/C][/ROW]
[ROW][C]17[/C][C]0.96[/C][C]0.956087962962963[/C][C]0.954166666666666[/C][C]0.00192129629629635[/C][C]0.00391203703703724[/C][/ROW]
[ROW][C]18[/C][C]0.95[/C][C]0.953032407407407[/C][C]0.954166666666666[/C][C]-0.00113425925925928[/C][C]-0.00303240740740729[/C][/ROW]
[ROW][C]19[/C][C]0.95[/C][C]0.95636574074074[/C][C]0.95375[/C][C]0.00261574074074075[/C][C]-0.0063657407407407[/C][/ROW]
[ROW][C]20[/C][C]0.95[/C][C]0.956226851851852[/C][C]0.952916666666667[/C][C]0.00331018518518519[/C][C]-0.00622685185185179[/C][/ROW]
[ROW][C]21[/C][C]0.95[/C][C]0.956226851851852[/C][C]0.952083333333333[/C][C]0.00414351851851851[/C][C]-0.00622685185185168[/C][/ROW]
[ROW][C]22[/C][C]0.95[/C][C]0.953310185185185[/C][C]0.951666666666666[/C][C]0.00164351851851856[/C][C]-0.00331018518518489[/C][/ROW]
[ROW][C]23[/C][C]0.95[/C][C]0.947476851851851[/C][C]0.951666666666666[/C][C]-0.00418981481481491[/C][C]0.00252314814814847[/C][/ROW]
[ROW][C]24[/C][C]0.95[/C][C]0.948726851851851[/C][C]0.952083333333333[/C][C]-0.00335648148148155[/C][C]0.00127314814814861[/C][/ROW]
[ROW][C]25[/C][C]0.95[/C][C]0.950949074074074[/C][C]0.953333333333333[/C][C]-0.00238425925925918[/C][C]-0.000949074074073741[/C][/ROW]
[ROW][C]26[/C][C]0.95[/C][C]0.95275462962963[/C][C]0.955[/C][C]-0.00224537037037038[/C][C]-0.00275462962962925[/C][/ROW]
[ROW][C]27[/C][C]0.95[/C][C]0.954699074074074[/C][C]0.956666666666666[/C][C]-0.00196759259259259[/C][C]-0.00469907407407377[/C][/ROW]
[ROW][C]28[/C][C]0.96[/C][C]0.959560185185185[/C][C]0.957916666666666[/C][C]0.00164351851851853[/C][C]0.000439814814815143[/C][/ROW]
[ROW][C]29[/C][C]0.96[/C][C]0.96025462962963[/C][C]0.958333333333333[/C][C]0.00192129629629635[/C][C]-0.000254629629629410[/C][/ROW]
[ROW][C]30[/C][C]0.96[/C][C]0.957199074074074[/C][C]0.958333333333333[/C][C]-0.00113425925925928[/C][C]0.00280092592592618[/C][/ROW]
[ROW][C]31[/C][C]0.97[/C][C]0.960949074074074[/C][C]0.958333333333333[/C][C]0.00261574074074075[/C][C]0.00905092592592616[/C][/ROW]
[ROW][C]32[/C][C]0.97[/C][C]0.961643518518518[/C][C]0.958333333333333[/C][C]0.00331018518518519[/C][C]0.00835648148148171[/C][/ROW]
[ROW][C]33[/C][C]0.97[/C][C]0.962476851851852[/C][C]0.958333333333333[/C][C]0.00414351851851851[/C][C]0.00752314814814836[/C][/ROW]
[ROW][C]34[/C][C]0.96[/C][C]0.959560185185185[/C][C]0.957916666666667[/C][C]0.00164351851851856[/C][C]0.000439814814814921[/C][/ROW]
[ROW][C]35[/C][C]0.95[/C][C]0.952893518518518[/C][C]0.957083333333333[/C][C]-0.00418981481481491[/C][C]-0.00289351851851838[/C][/ROW]
[ROW][C]36[/C][C]0.95[/C][C]0.952893518518518[/C][C]0.95625[/C][C]-0.00335648148148155[/C][C]-0.00289351851851838[/C][/ROW]
[ROW][C]37[/C][C]0.95[/C][C]0.95261574074074[/C][C]0.955[/C][C]-0.00238425925925918[/C][C]-0.00261574074074067[/C][/ROW]
[ROW][C]38[/C][C]0.95[/C][C]0.951087962962963[/C][C]0.953333333333333[/C][C]-0.00224537037037038[/C][C]-0.00108796296296276[/C][/ROW]
[ROW][C]39[/C][C]0.95[/C][C]0.949699074074074[/C][C]0.951666666666666[/C][C]-0.00196759259259259[/C][C]0.000300925925926121[/C][/ROW]
[ROW][C]40[/C][C]0.95[/C][C]0.952060185185185[/C][C]0.950416666666666[/C][C]0.00164351851851853[/C][C]-0.00206018518518503[/C][/ROW]
[ROW][C]41[/C][C]0.95[/C][C]0.95150462962963[/C][C]0.949583333333333[/C][C]0.00192129629629635[/C][C]-0.00150462962962938[/C][/ROW]
[ROW][C]42[/C][C]0.95[/C][C]0.94761574074074[/C][C]0.94875[/C][C]-0.00113425925925928[/C][C]0.00238425925925945[/C][/ROW]
[ROW][C]43[/C][C]0.95[/C][C]0.950532407407407[/C][C]0.947916666666666[/C][C]0.00261574074074075[/C][C]-0.000532407407407121[/C][/ROW]
[ROW][C]44[/C][C]0.95[/C][C]0.949976851851852[/C][C]0.946666666666666[/C][C]0.00331018518518519[/C][C]2.31481481484108e-05[/C][/ROW]
[ROW][C]45[/C][C]0.95[/C][C]0.949143518518518[/C][C]0.945[/C][C]0.00414351851851851[/C][C]0.000856481481481874[/C][/ROW]
[ROW][C]46[/C][C]0.95[/C][C]0.944976851851851[/C][C]0.943333333333333[/C][C]0.00164351851851856[/C][C]0.00502314814814853[/C][/ROW]
[ROW][C]47[/C][C]0.94[/C][C]0.937476851851851[/C][C]0.941666666666666[/C][C]-0.00418981481481491[/C][C]0.00252314814814847[/C][/ROW]
[ROW][C]48[/C][C]0.94[/C][C]0.936226851851852[/C][C]0.939583333333333[/C][C]-0.00335648148148155[/C][C]0.00377314814814833[/C][/ROW]
[ROW][C]49[/C][C]0.94[/C][C]NA[/C][C]0.9375[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]0.93[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]0.93[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]0.93[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]0.93[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]0.92[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]0.93[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=103734&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103734&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	0.96	NA	NA	-0.00238425925925918	NA
2	0.95	NA	NA	-0.00224537037037038	NA
3	0.95	NA	NA	-0.00196759259259259	NA
4	0.96	NA	NA	0.00164351851851853	NA
5	0.96	NA	NA	0.00192129629629635	NA
6	0.96	NA	NA	-0.00113425925925928	NA
7	0.95	0.958449074074074	0.955833333333333	0.00261574074074075	-0.00844907407407391
8	0.96	0.959560185185185	0.95625	0.00331018518518519	0.000439814814814921
9	0.96	0.961226851851851	0.957083333333333	0.00414351851851851	-0.00122685185185145
10	0.96	0.959143518518518	0.9575	0.00164351851851856	0.000856481481481652
11	0.95	0.953310185185185	0.9575	-0.00418981481481491	-0.00331018518518478
12	0.95	0.953726851851851	0.957083333333333	-0.00335648148148155	-0.00372685185185151
13	0.96	0.954282407407407	0.956666666666666	-0.00238425925925918	0.00571759259259297
14	0.96	0.95400462962963	0.95625	-0.00224537037037038	0.00599537037037057
15	0.96	0.953449074074074	0.955416666666666	-0.00196759259259259	0.0065509259259261
16	0.96	0.956226851851852	0.954583333333333	0.00164351851851853	0.00377314814814833
17	0.96	0.956087962962963	0.954166666666666	0.00192129629629635	0.00391203703703724
18	0.95	0.953032407407407	0.954166666666666	-0.00113425925925928	-0.00303240740740729
19	0.95	0.95636574074074	0.95375	0.00261574074074075	-0.0063657407407407
20	0.95	0.956226851851852	0.952916666666667	0.00331018518518519	-0.00622685185185179
21	0.95	0.956226851851852	0.952083333333333	0.00414351851851851	-0.00622685185185168
22	0.95	0.953310185185185	0.951666666666666	0.00164351851851856	-0.00331018518518489
23	0.95	0.947476851851851	0.951666666666666	-0.00418981481481491	0.00252314814814847
24	0.95	0.948726851851851	0.952083333333333	-0.00335648148148155	0.00127314814814861
25	0.95	0.950949074074074	0.953333333333333	-0.00238425925925918	-0.000949074074073741
26	0.95	0.95275462962963	0.955	-0.00224537037037038	-0.00275462962962925
27	0.95	0.954699074074074	0.956666666666666	-0.00196759259259259	-0.00469907407407377
28	0.96	0.959560185185185	0.957916666666666	0.00164351851851853	0.000439814814815143
29	0.96	0.96025462962963	0.958333333333333	0.00192129629629635	-0.000254629629629410
30	0.96	0.957199074074074	0.958333333333333	-0.00113425925925928	0.00280092592592618
31	0.97	0.960949074074074	0.958333333333333	0.00261574074074075	0.00905092592592616
32	0.97	0.961643518518518	0.958333333333333	0.00331018518518519	0.00835648148148171
33	0.97	0.962476851851852	0.958333333333333	0.00414351851851851	0.00752314814814836
34	0.96	0.959560185185185	0.957916666666667	0.00164351851851856	0.000439814814814921
35	0.95	0.952893518518518	0.957083333333333	-0.00418981481481491	-0.00289351851851838
36	0.95	0.952893518518518	0.95625	-0.00335648148148155	-0.00289351851851838
37	0.95	0.95261574074074	0.955	-0.00238425925925918	-0.00261574074074067
38	0.95	0.951087962962963	0.953333333333333	-0.00224537037037038	-0.00108796296296276
39	0.95	0.949699074074074	0.951666666666666	-0.00196759259259259	0.000300925925926121
40	0.95	0.952060185185185	0.950416666666666	0.00164351851851853	-0.00206018518518503
41	0.95	0.95150462962963	0.949583333333333	0.00192129629629635	-0.00150462962962938
42	0.95	0.94761574074074	0.94875	-0.00113425925925928	0.00238425925925945
43	0.95	0.950532407407407	0.947916666666666	0.00261574074074075	-0.000532407407407121
44	0.95	0.949976851851852	0.946666666666666	0.00331018518518519	2.31481481484108e-05
45	0.95	0.949143518518518	0.945	0.00414351851851851	0.000856481481481874
46	0.95	0.944976851851851	0.943333333333333	0.00164351851851856	0.00502314814814853
47	0.94	0.937476851851851	0.941666666666666	-0.00418981481481491	0.00252314814814847
48	0.94	0.936226851851852	0.939583333333333	-0.00335648148148155	0.00377314814814833
49	0.94	NA	0.9375	NA	NA
50	0.93	NA	NA	NA	NA
51	0.93	NA	NA	NA	NA
52	0.93	NA	NA	NA	NA
53	0.93	NA	NA	NA	NA
54	0.92	NA	NA	NA	NA
55	0.93	NA	NA	NA	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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,m$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