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*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 05 Dec 2011 07:09:01 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/05/t1323086977i69z1eviwx3r4mf.htm/, Retrieved Fri, 03 May 2024 03:53:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150875, Retrieved Fri, 03 May 2024 03:53:31 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP2W92

Estimated Impact

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

-       [Classical Decomposition] [decompositie bilj...] [2011-12-05 12:09:01] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Boxplots

2,2
2,28
2,28
2,28
2,28
2,27
2,28
2,27
2,28
2,28
2,28
2,28
2,27
2,28
2,28
2,28
2,27
2,28
2,27
2,27
2,27
2,27
2,27
2,27
2,27
2,35
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,54
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,66
2,93
2,93
2,93
2,93
2,93
2,93
2,93
2,93
2,93
2,93
2,93

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150875&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150875&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150875&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	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	2.2	NA	NA	-0.0488599537037036	NA
2	2.28	NA	NA	0.0220428240740742	NA
3	2.28	NA	NA	0.0446122685185185	NA
4	2.28	NA	NA	0.0355844907407407	NA
5	2.28	NA	NA	0.0248900462962963	NA
6	2.27	NA	NA	0.0175289351851851	NA
7	2.28	2.28037615740741	2.27458333333333	0.00579282407407401	-0.000376157407407263
8	2.27	2.27391782407407	2.2775	-0.0035821759259259	-0.00391782407407382
9	2.28	2.26655671296296	2.2775	-0.0109432870370371	0.0134432870370369
10	2.28	2.25752893518519	2.2775	-0.0199710648148148	0.0224710648148148
11	2.28	2.24808449074074	2.27708333333333	-0.0289988425925926	0.0319155092592593
12	2.28	2.23898726851852	2.27708333333333	-0.0380960648148148	0.0410127314814814
13	2.27	2.22822337962963	2.27708333333333	-0.0488599537037036	0.0417766203703707
14	2.28	2.29870949074074	2.27666666666667	0.0220428240740742	-0.0187094907407408
15	2.28	2.32086226851852	2.27625	0.0446122685185185	-0.0408622685185187
16	2.28	2.31100115740741	2.27541666666667	0.0355844907407407	-0.0310011574074074
17	2.27	2.29947337962963	2.27458333333333	0.0248900462962963	-0.0294733796296298
18	2.28	2.29127893518519	2.27375	0.0175289351851851	-0.0112789351851856
19	2.27	2.27912615740741	2.27333333333333	0.00579282407407401	-0.0091261574074073
20	2.27	2.27266782407407	2.27625	-0.0035821759259259	-0.00266782407407407
21	2.27	2.27905671296296	2.29	-0.0109432870370371	-0.00905671296296306
22	2.27	2.29169560185185	2.31166666666667	-0.0199710648148148	-0.0216956018518522
23	2.27	2.30475115740741	2.33375	-0.0289988425925926	-0.0347511574074075
24	2.27	2.31773726851852	2.35583333333333	-0.0380960648148148	-0.0477372685185187
25	2.27	2.32905671296296	2.37791666666667	-0.0488599537037036	-0.0590567129629629
26	2.35	2.42245949074074	2.40041666666667	0.0220428240740742	-0.0724594907407408
27	2.54	2.46752893518519	2.42291666666667	0.0446122685185185	0.072471064814815
28	2.54	2.48100115740741	2.44541666666667	0.0355844907407407	0.0589988425925929
29	2.54	2.49280671296296	2.46791666666667	0.0248900462962963	0.0471932870370373
30	2.54	2.50794560185185	2.49041666666667	0.0175289351851851	0.0320543981481483
31	2.54	2.51870949074074	2.51291666666667	0.00579282407407401	0.0212905092592597
32	2.54	2.52850115740741	2.53208333333333	-0.0035821759259259	0.011498842592593
33	2.54	2.52905671296296	2.54	-0.0109432870370371	0.0109432870370374
34	2.54	2.52002893518518	2.54	-0.0199710648148148	0.0199710648148153
35	2.54	2.51100115740741	2.54	-0.0289988425925926	0.0289988425925931
36	2.54	2.50190393518518	2.54	-0.0380960648148148	0.0380960648148152
37	2.54	2.4911400462963	2.54	-0.0488599537037036	0.0488599537037042
38	2.54	2.56204282407407	2.54	0.0220428240740742	-0.0220428240740738
39	2.54	2.58461226851852	2.54	0.0446122685185185	-0.044612268518518
40	2.54	2.57558449074074	2.54	0.0355844907407407	-0.0355844907407401
41	2.54	2.5648900462963	2.54	0.0248900462962963	-0.0248900462962958
42	2.54	2.55752893518518	2.54	0.0175289351851851	-0.0175289351851848
43	2.54	2.54579282407407	2.54	0.00579282407407401	-0.00579282407407344
44	2.54	2.54141782407407	2.545	-0.0035821759259259	-0.00141782407407343
45	2.54	2.54405671296296	2.555	-0.0109432870370371	-0.00405671296296273
46	2.54	2.54502893518518	2.565	-0.0199710648148148	-0.00502893518518466
47	2.54	2.54600115740741	2.575	-0.0289988425925926	-0.00600115740740703
48	2.54	2.54690393518518	2.585	-0.0380960648148148	-0.00690393518518473
49	2.54	2.5461400462963	2.595	-0.0488599537037036	-0.00614004629629594
50	2.66	2.62704282407407	2.605	0.0220428240740742	0.0329571759259264
51	2.66	2.65961226851852	2.615	0.0446122685185185	0.000387731481481968
52	2.66	2.66058449074074	2.625	0.0355844907407407	-0.000584490740739962
53	2.66	2.6598900462963	2.635	0.0248900462962963	0.000109953703704146
54	2.66	2.66252893518519	2.645	0.0175289351851851	-0.00252893518518515
55	2.66	2.66079282407407	2.655	0.00579282407407401	-0.000792824074073994
56	2.66	2.65641782407407	2.66	-0.0035821759259259	0.00358217592592602
57	2.66	2.64905671296296	2.66	-0.0109432870370371	0.010943287037037
58	2.66	2.64002893518519	2.66	-0.0199710648148148	0.0199710648148148
59	2.66	2.63100115740741	2.66	-0.0289988425925926	0.0289988425925927
60	2.66	2.62190393518519	2.66	-0.0380960648148148	0.0380960648148148
61	2.66	2.6111400462963	2.66	-0.0488599537037036	0.0488599537037038
62	2.66	2.68204282407407	2.66	0.0220428240740742	-0.0220428240740742
63	2.66	2.70461226851852	2.66	0.0446122685185185	-0.0446122685185184
64	2.66	2.69558449074074	2.66	0.0355844907407407	-0.0355844907407405
65	2.66	2.6848900462963	2.66	0.0248900462962963	-0.0248900462962962
66	2.66	2.67752893518519	2.66	0.0175289351851851	-0.0175289351851853
67	2.66	2.66579282407407	2.66	0.00579282407407401	-0.00579282407407389
68	2.66	2.66766782407407	2.67125	-0.0035821759259259	-0.00766782407407396
69	2.66	2.68280671296296	2.69375	-0.0109432870370371	-0.022806712962963
70	2.66	2.69627893518519	2.71625	-0.0199710648148148	-0.0362789351851851
71	2.66	2.70975115740741	2.73875	-0.0289988425925926	-0.0497511574074072
72	2.66	2.72315393518519	2.76125	-0.0380960648148148	-0.0631539351851851
73	2.66	2.7348900462963	2.78375	-0.0488599537037036	-0.074890046296296
74	2.93	2.82829282407407	2.80625	0.0220428240740742	0.101707175925926
75	2.93	2.87336226851852	2.82875	0.0446122685185185	0.0566377314814819
76	2.93	2.88683449074074	2.85125	0.0355844907407407	0.0431655092592593
77	2.93	2.8986400462963	2.87375	0.0248900462962963	0.0313599537037037
78	2.93	2.91377893518519	2.89625	0.0175289351851851	0.0162210648148147
79	2.93	NA	NA	0.00579282407407401	NA
80	2.93	NA	NA	-0.0035821759259259	NA
81	2.93	NA	NA	-0.0109432870370371	NA
82	2.93	NA	NA	-0.0199710648148148	NA
83	2.93	NA	NA	-0.0289988425925926	NA
84	2.93	NA	NA	-0.0380960648148148	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 2.2 & NA & NA & -0.0488599537037036 & NA \tabularnewline
2 & 2.28 & NA & NA & 0.0220428240740742 & NA \tabularnewline
3 & 2.28 & NA & NA & 0.0446122685185185 & NA \tabularnewline
4 & 2.28 & NA & NA & 0.0355844907407407 & NA \tabularnewline
5 & 2.28 & NA & NA & 0.0248900462962963 & NA \tabularnewline
6 & 2.27 & NA & NA & 0.0175289351851851 & NA \tabularnewline
7 & 2.28 & 2.28037615740741 & 2.27458333333333 & 0.00579282407407401 & -0.000376157407407263 \tabularnewline
8 & 2.27 & 2.27391782407407 & 2.2775 & -0.0035821759259259 & -0.00391782407407382 \tabularnewline
9 & 2.28 & 2.26655671296296 & 2.2775 & -0.0109432870370371 & 0.0134432870370369 \tabularnewline
10 & 2.28 & 2.25752893518519 & 2.2775 & -0.0199710648148148 & 0.0224710648148148 \tabularnewline
11 & 2.28 & 2.24808449074074 & 2.27708333333333 & -0.0289988425925926 & 0.0319155092592593 \tabularnewline
12 & 2.28 & 2.23898726851852 & 2.27708333333333 & -0.0380960648148148 & 0.0410127314814814 \tabularnewline
13 & 2.27 & 2.22822337962963 & 2.27708333333333 & -0.0488599537037036 & 0.0417766203703707 \tabularnewline
14 & 2.28 & 2.29870949074074 & 2.27666666666667 & 0.0220428240740742 & -0.0187094907407408 \tabularnewline
15 & 2.28 & 2.32086226851852 & 2.27625 & 0.0446122685185185 & -0.0408622685185187 \tabularnewline
16 & 2.28 & 2.31100115740741 & 2.27541666666667 & 0.0355844907407407 & -0.0310011574074074 \tabularnewline
17 & 2.27 & 2.29947337962963 & 2.27458333333333 & 0.0248900462962963 & -0.0294733796296298 \tabularnewline
18 & 2.28 & 2.29127893518519 & 2.27375 & 0.0175289351851851 & -0.0112789351851856 \tabularnewline
19 & 2.27 & 2.27912615740741 & 2.27333333333333 & 0.00579282407407401 & -0.0091261574074073 \tabularnewline
20 & 2.27 & 2.27266782407407 & 2.27625 & -0.0035821759259259 & -0.00266782407407407 \tabularnewline
21 & 2.27 & 2.27905671296296 & 2.29 & -0.0109432870370371 & -0.00905671296296306 \tabularnewline
22 & 2.27 & 2.29169560185185 & 2.31166666666667 & -0.0199710648148148 & -0.0216956018518522 \tabularnewline
23 & 2.27 & 2.30475115740741 & 2.33375 & -0.0289988425925926 & -0.0347511574074075 \tabularnewline
24 & 2.27 & 2.31773726851852 & 2.35583333333333 & -0.0380960648148148 & -0.0477372685185187 \tabularnewline
25 & 2.27 & 2.32905671296296 & 2.37791666666667 & -0.0488599537037036 & -0.0590567129629629 \tabularnewline
26 & 2.35 & 2.42245949074074 & 2.40041666666667 & 0.0220428240740742 & -0.0724594907407408 \tabularnewline
27 & 2.54 & 2.46752893518519 & 2.42291666666667 & 0.0446122685185185 & 0.072471064814815 \tabularnewline
28 & 2.54 & 2.48100115740741 & 2.44541666666667 & 0.0355844907407407 & 0.0589988425925929 \tabularnewline
29 & 2.54 & 2.49280671296296 & 2.46791666666667 & 0.0248900462962963 & 0.0471932870370373 \tabularnewline
30 & 2.54 & 2.50794560185185 & 2.49041666666667 & 0.0175289351851851 & 0.0320543981481483 \tabularnewline
31 & 2.54 & 2.51870949074074 & 2.51291666666667 & 0.00579282407407401 & 0.0212905092592597 \tabularnewline
32 & 2.54 & 2.52850115740741 & 2.53208333333333 & -0.0035821759259259 & 0.011498842592593 \tabularnewline
33 & 2.54 & 2.52905671296296 & 2.54 & -0.0109432870370371 & 0.0109432870370374 \tabularnewline
34 & 2.54 & 2.52002893518518 & 2.54 & -0.0199710648148148 & 0.0199710648148153 \tabularnewline
35 & 2.54 & 2.51100115740741 & 2.54 & -0.0289988425925926 & 0.0289988425925931 \tabularnewline
36 & 2.54 & 2.50190393518518 & 2.54 & -0.0380960648148148 & 0.0380960648148152 \tabularnewline
37 & 2.54 & 2.4911400462963 & 2.54 & -0.0488599537037036 & 0.0488599537037042 \tabularnewline
38 & 2.54 & 2.56204282407407 & 2.54 & 0.0220428240740742 & -0.0220428240740738 \tabularnewline
39 & 2.54 & 2.58461226851852 & 2.54 & 0.0446122685185185 & -0.044612268518518 \tabularnewline
40 & 2.54 & 2.57558449074074 & 2.54 & 0.0355844907407407 & -0.0355844907407401 \tabularnewline
41 & 2.54 & 2.5648900462963 & 2.54 & 0.0248900462962963 & -0.0248900462962958 \tabularnewline
42 & 2.54 & 2.55752893518518 & 2.54 & 0.0175289351851851 & -0.0175289351851848 \tabularnewline
43 & 2.54 & 2.54579282407407 & 2.54 & 0.00579282407407401 & -0.00579282407407344 \tabularnewline
44 & 2.54 & 2.54141782407407 & 2.545 & -0.0035821759259259 & -0.00141782407407343 \tabularnewline
45 & 2.54 & 2.54405671296296 & 2.555 & -0.0109432870370371 & -0.00405671296296273 \tabularnewline
46 & 2.54 & 2.54502893518518 & 2.565 & -0.0199710648148148 & -0.00502893518518466 \tabularnewline
47 & 2.54 & 2.54600115740741 & 2.575 & -0.0289988425925926 & -0.00600115740740703 \tabularnewline
48 & 2.54 & 2.54690393518518 & 2.585 & -0.0380960648148148 & -0.00690393518518473 \tabularnewline
49 & 2.54 & 2.5461400462963 & 2.595 & -0.0488599537037036 & -0.00614004629629594 \tabularnewline
50 & 2.66 & 2.62704282407407 & 2.605 & 0.0220428240740742 & 0.0329571759259264 \tabularnewline
51 & 2.66 & 2.65961226851852 & 2.615 & 0.0446122685185185 & 0.000387731481481968 \tabularnewline
52 & 2.66 & 2.66058449074074 & 2.625 & 0.0355844907407407 & -0.000584490740739962 \tabularnewline
53 & 2.66 & 2.6598900462963 & 2.635 & 0.0248900462962963 & 0.000109953703704146 \tabularnewline
54 & 2.66 & 2.66252893518519 & 2.645 & 0.0175289351851851 & -0.00252893518518515 \tabularnewline
55 & 2.66 & 2.66079282407407 & 2.655 & 0.00579282407407401 & -0.000792824074073994 \tabularnewline
56 & 2.66 & 2.65641782407407 & 2.66 & -0.0035821759259259 & 0.00358217592592602 \tabularnewline
57 & 2.66 & 2.64905671296296 & 2.66 & -0.0109432870370371 & 0.010943287037037 \tabularnewline
58 & 2.66 & 2.64002893518519 & 2.66 & -0.0199710648148148 & 0.0199710648148148 \tabularnewline
59 & 2.66 & 2.63100115740741 & 2.66 & -0.0289988425925926 & 0.0289988425925927 \tabularnewline
60 & 2.66 & 2.62190393518519 & 2.66 & -0.0380960648148148 & 0.0380960648148148 \tabularnewline
61 & 2.66 & 2.6111400462963 & 2.66 & -0.0488599537037036 & 0.0488599537037038 \tabularnewline
62 & 2.66 & 2.68204282407407 & 2.66 & 0.0220428240740742 & -0.0220428240740742 \tabularnewline
63 & 2.66 & 2.70461226851852 & 2.66 & 0.0446122685185185 & -0.0446122685185184 \tabularnewline
64 & 2.66 & 2.69558449074074 & 2.66 & 0.0355844907407407 & -0.0355844907407405 \tabularnewline
65 & 2.66 & 2.6848900462963 & 2.66 & 0.0248900462962963 & -0.0248900462962962 \tabularnewline
66 & 2.66 & 2.67752893518519 & 2.66 & 0.0175289351851851 & -0.0175289351851853 \tabularnewline
67 & 2.66 & 2.66579282407407 & 2.66 & 0.00579282407407401 & -0.00579282407407389 \tabularnewline
68 & 2.66 & 2.66766782407407 & 2.67125 & -0.0035821759259259 & -0.00766782407407396 \tabularnewline
69 & 2.66 & 2.68280671296296 & 2.69375 & -0.0109432870370371 & -0.022806712962963 \tabularnewline
70 & 2.66 & 2.69627893518519 & 2.71625 & -0.0199710648148148 & -0.0362789351851851 \tabularnewline
71 & 2.66 & 2.70975115740741 & 2.73875 & -0.0289988425925926 & -0.0497511574074072 \tabularnewline
72 & 2.66 & 2.72315393518519 & 2.76125 & -0.0380960648148148 & -0.0631539351851851 \tabularnewline
73 & 2.66 & 2.7348900462963 & 2.78375 & -0.0488599537037036 & -0.074890046296296 \tabularnewline
74 & 2.93 & 2.82829282407407 & 2.80625 & 0.0220428240740742 & 0.101707175925926 \tabularnewline
75 & 2.93 & 2.87336226851852 & 2.82875 & 0.0446122685185185 & 0.0566377314814819 \tabularnewline
76 & 2.93 & 2.88683449074074 & 2.85125 & 0.0355844907407407 & 0.0431655092592593 \tabularnewline
77 & 2.93 & 2.8986400462963 & 2.87375 & 0.0248900462962963 & 0.0313599537037037 \tabularnewline
78 & 2.93 & 2.91377893518519 & 2.89625 & 0.0175289351851851 & 0.0162210648148147 \tabularnewline
79 & 2.93 & NA & NA & 0.00579282407407401 & NA \tabularnewline
80 & 2.93 & NA & NA & -0.0035821759259259 & NA \tabularnewline
81 & 2.93 & NA & NA & -0.0109432870370371 & NA \tabularnewline
82 & 2.93 & NA & NA & -0.0199710648148148 & NA \tabularnewline
83 & 2.93 & NA & NA & -0.0289988425925926 & NA \tabularnewline
84 & 2.93 & NA & NA & -0.0380960648148148 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150875&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]2.2[/C][C]NA[/C][C]NA[/C][C]-0.0488599537037036[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]2.28[/C][C]NA[/C][C]NA[/C][C]0.0220428240740742[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]2.28[/C][C]NA[/C][C]NA[/C][C]0.0446122685185185[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]2.28[/C][C]NA[/C][C]NA[/C][C]0.0355844907407407[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]2.28[/C][C]NA[/C][C]NA[/C][C]0.0248900462962963[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]2.27[/C][C]NA[/C][C]NA[/C][C]0.0175289351851851[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]2.28[/C][C]2.28037615740741[/C][C]2.27458333333333[/C][C]0.00579282407407401[/C][C]-0.000376157407407263[/C][/ROW]
[ROW][C]8[/C][C]2.27[/C][C]2.27391782407407[/C][C]2.2775[/C][C]-0.0035821759259259[/C][C]-0.00391782407407382[/C][/ROW]
[ROW][C]9[/C][C]2.28[/C][C]2.26655671296296[/C][C]2.2775[/C][C]-0.0109432870370371[/C][C]0.0134432870370369[/C][/ROW]
[ROW][C]10[/C][C]2.28[/C][C]2.25752893518519[/C][C]2.2775[/C][C]-0.0199710648148148[/C][C]0.0224710648148148[/C][/ROW]
[ROW][C]11[/C][C]2.28[/C][C]2.24808449074074[/C][C]2.27708333333333[/C][C]-0.0289988425925926[/C][C]0.0319155092592593[/C][/ROW]
[ROW][C]12[/C][C]2.28[/C][C]2.23898726851852[/C][C]2.27708333333333[/C][C]-0.0380960648148148[/C][C]0.0410127314814814[/C][/ROW]
[ROW][C]13[/C][C]2.27[/C][C]2.22822337962963[/C][C]2.27708333333333[/C][C]-0.0488599537037036[/C][C]0.0417766203703707[/C][/ROW]
[ROW][C]14[/C][C]2.28[/C][C]2.29870949074074[/C][C]2.27666666666667[/C][C]0.0220428240740742[/C][C]-0.0187094907407408[/C][/ROW]
[ROW][C]15[/C][C]2.28[/C][C]2.32086226851852[/C][C]2.27625[/C][C]0.0446122685185185[/C][C]-0.0408622685185187[/C][/ROW]
[ROW][C]16[/C][C]2.28[/C][C]2.31100115740741[/C][C]2.27541666666667[/C][C]0.0355844907407407[/C][C]-0.0310011574074074[/C][/ROW]
[ROW][C]17[/C][C]2.27[/C][C]2.29947337962963[/C][C]2.27458333333333[/C][C]0.0248900462962963[/C][C]-0.0294733796296298[/C][/ROW]
[ROW][C]18[/C][C]2.28[/C][C]2.29127893518519[/C][C]2.27375[/C][C]0.0175289351851851[/C][C]-0.0112789351851856[/C][/ROW]
[ROW][C]19[/C][C]2.27[/C][C]2.27912615740741[/C][C]2.27333333333333[/C][C]0.00579282407407401[/C][C]-0.0091261574074073[/C][/ROW]
[ROW][C]20[/C][C]2.27[/C][C]2.27266782407407[/C][C]2.27625[/C][C]-0.0035821759259259[/C][C]-0.00266782407407407[/C][/ROW]
[ROW][C]21[/C][C]2.27[/C][C]2.27905671296296[/C][C]2.29[/C][C]-0.0109432870370371[/C][C]-0.00905671296296306[/C][/ROW]
[ROW][C]22[/C][C]2.27[/C][C]2.29169560185185[/C][C]2.31166666666667[/C][C]-0.0199710648148148[/C][C]-0.0216956018518522[/C][/ROW]
[ROW][C]23[/C][C]2.27[/C][C]2.30475115740741[/C][C]2.33375[/C][C]-0.0289988425925926[/C][C]-0.0347511574074075[/C][/ROW]
[ROW][C]24[/C][C]2.27[/C][C]2.31773726851852[/C][C]2.35583333333333[/C][C]-0.0380960648148148[/C][C]-0.0477372685185187[/C][/ROW]
[ROW][C]25[/C][C]2.27[/C][C]2.32905671296296[/C][C]2.37791666666667[/C][C]-0.0488599537037036[/C][C]-0.0590567129629629[/C][/ROW]
[ROW][C]26[/C][C]2.35[/C][C]2.42245949074074[/C][C]2.40041666666667[/C][C]0.0220428240740742[/C][C]-0.0724594907407408[/C][/ROW]
[ROW][C]27[/C][C]2.54[/C][C]2.46752893518519[/C][C]2.42291666666667[/C][C]0.0446122685185185[/C][C]0.072471064814815[/C][/ROW]
[ROW][C]28[/C][C]2.54[/C][C]2.48100115740741[/C][C]2.44541666666667[/C][C]0.0355844907407407[/C][C]0.0589988425925929[/C][/ROW]
[ROW][C]29[/C][C]2.54[/C][C]2.49280671296296[/C][C]2.46791666666667[/C][C]0.0248900462962963[/C][C]0.0471932870370373[/C][/ROW]
[ROW][C]30[/C][C]2.54[/C][C]2.50794560185185[/C][C]2.49041666666667[/C][C]0.0175289351851851[/C][C]0.0320543981481483[/C][/ROW]
[ROW][C]31[/C][C]2.54[/C][C]2.51870949074074[/C][C]2.51291666666667[/C][C]0.00579282407407401[/C][C]0.0212905092592597[/C][/ROW]
[ROW][C]32[/C][C]2.54[/C][C]2.52850115740741[/C][C]2.53208333333333[/C][C]-0.0035821759259259[/C][C]0.011498842592593[/C][/ROW]
[ROW][C]33[/C][C]2.54[/C][C]2.52905671296296[/C][C]2.54[/C][C]-0.0109432870370371[/C][C]0.0109432870370374[/C][/ROW]
[ROW][C]34[/C][C]2.54[/C][C]2.52002893518518[/C][C]2.54[/C][C]-0.0199710648148148[/C][C]0.0199710648148153[/C][/ROW]
[ROW][C]35[/C][C]2.54[/C][C]2.51100115740741[/C][C]2.54[/C][C]-0.0289988425925926[/C][C]0.0289988425925931[/C][/ROW]
[ROW][C]36[/C][C]2.54[/C][C]2.50190393518518[/C][C]2.54[/C][C]-0.0380960648148148[/C][C]0.0380960648148152[/C][/ROW]
[ROW][C]37[/C][C]2.54[/C][C]2.4911400462963[/C][C]2.54[/C][C]-0.0488599537037036[/C][C]0.0488599537037042[/C][/ROW]
[ROW][C]38[/C][C]2.54[/C][C]2.56204282407407[/C][C]2.54[/C][C]0.0220428240740742[/C][C]-0.0220428240740738[/C][/ROW]
[ROW][C]39[/C][C]2.54[/C][C]2.58461226851852[/C][C]2.54[/C][C]0.0446122685185185[/C][C]-0.044612268518518[/C][/ROW]
[ROW][C]40[/C][C]2.54[/C][C]2.57558449074074[/C][C]2.54[/C][C]0.0355844907407407[/C][C]-0.0355844907407401[/C][/ROW]
[ROW][C]41[/C][C]2.54[/C][C]2.5648900462963[/C][C]2.54[/C][C]0.0248900462962963[/C][C]-0.0248900462962958[/C][/ROW]
[ROW][C]42[/C][C]2.54[/C][C]2.55752893518518[/C][C]2.54[/C][C]0.0175289351851851[/C][C]-0.0175289351851848[/C][/ROW]
[ROW][C]43[/C][C]2.54[/C][C]2.54579282407407[/C][C]2.54[/C][C]0.00579282407407401[/C][C]-0.00579282407407344[/C][/ROW]
[ROW][C]44[/C][C]2.54[/C][C]2.54141782407407[/C][C]2.545[/C][C]-0.0035821759259259[/C][C]-0.00141782407407343[/C][/ROW]
[ROW][C]45[/C][C]2.54[/C][C]2.54405671296296[/C][C]2.555[/C][C]-0.0109432870370371[/C][C]-0.00405671296296273[/C][/ROW]
[ROW][C]46[/C][C]2.54[/C][C]2.54502893518518[/C][C]2.565[/C][C]-0.0199710648148148[/C][C]-0.00502893518518466[/C][/ROW]
[ROW][C]47[/C][C]2.54[/C][C]2.54600115740741[/C][C]2.575[/C][C]-0.0289988425925926[/C][C]-0.00600115740740703[/C][/ROW]
[ROW][C]48[/C][C]2.54[/C][C]2.54690393518518[/C][C]2.585[/C][C]-0.0380960648148148[/C][C]-0.00690393518518473[/C][/ROW]
[ROW][C]49[/C][C]2.54[/C][C]2.5461400462963[/C][C]2.595[/C][C]-0.0488599537037036[/C][C]-0.00614004629629594[/C][/ROW]
[ROW][C]50[/C][C]2.66[/C][C]2.62704282407407[/C][C]2.605[/C][C]0.0220428240740742[/C][C]0.0329571759259264[/C][/ROW]
[ROW][C]51[/C][C]2.66[/C][C]2.65961226851852[/C][C]2.615[/C][C]0.0446122685185185[/C][C]0.000387731481481968[/C][/ROW]
[ROW][C]52[/C][C]2.66[/C][C]2.66058449074074[/C][C]2.625[/C][C]0.0355844907407407[/C][C]-0.000584490740739962[/C][/ROW]
[ROW][C]53[/C][C]2.66[/C][C]2.6598900462963[/C][C]2.635[/C][C]0.0248900462962963[/C][C]0.000109953703704146[/C][/ROW]
[ROW][C]54[/C][C]2.66[/C][C]2.66252893518519[/C][C]2.645[/C][C]0.0175289351851851[/C][C]-0.00252893518518515[/C][/ROW]
[ROW][C]55[/C][C]2.66[/C][C]2.66079282407407[/C][C]2.655[/C][C]0.00579282407407401[/C][C]-0.000792824074073994[/C][/ROW]
[ROW][C]56[/C][C]2.66[/C][C]2.65641782407407[/C][C]2.66[/C][C]-0.0035821759259259[/C][C]0.00358217592592602[/C][/ROW]
[ROW][C]57[/C][C]2.66[/C][C]2.64905671296296[/C][C]2.66[/C][C]-0.0109432870370371[/C][C]0.010943287037037[/C][/ROW]
[ROW][C]58[/C][C]2.66[/C][C]2.64002893518519[/C][C]2.66[/C][C]-0.0199710648148148[/C][C]0.0199710648148148[/C][/ROW]
[ROW][C]59[/C][C]2.66[/C][C]2.63100115740741[/C][C]2.66[/C][C]-0.0289988425925926[/C][C]0.0289988425925927[/C][/ROW]
[ROW][C]60[/C][C]2.66[/C][C]2.62190393518519[/C][C]2.66[/C][C]-0.0380960648148148[/C][C]0.0380960648148148[/C][/ROW]
[ROW][C]61[/C][C]2.66[/C][C]2.6111400462963[/C][C]2.66[/C][C]-0.0488599537037036[/C][C]0.0488599537037038[/C][/ROW]
[ROW][C]62[/C][C]2.66[/C][C]2.68204282407407[/C][C]2.66[/C][C]0.0220428240740742[/C][C]-0.0220428240740742[/C][/ROW]
[ROW][C]63[/C][C]2.66[/C][C]2.70461226851852[/C][C]2.66[/C][C]0.0446122685185185[/C][C]-0.0446122685185184[/C][/ROW]
[ROW][C]64[/C][C]2.66[/C][C]2.69558449074074[/C][C]2.66[/C][C]0.0355844907407407[/C][C]-0.0355844907407405[/C][/ROW]
[ROW][C]65[/C][C]2.66[/C][C]2.6848900462963[/C][C]2.66[/C][C]0.0248900462962963[/C][C]-0.0248900462962962[/C][/ROW]
[ROW][C]66[/C][C]2.66[/C][C]2.67752893518519[/C][C]2.66[/C][C]0.0175289351851851[/C][C]-0.0175289351851853[/C][/ROW]
[ROW][C]67[/C][C]2.66[/C][C]2.66579282407407[/C][C]2.66[/C][C]0.00579282407407401[/C][C]-0.00579282407407389[/C][/ROW]
[ROW][C]68[/C][C]2.66[/C][C]2.66766782407407[/C][C]2.67125[/C][C]-0.0035821759259259[/C][C]-0.00766782407407396[/C][/ROW]
[ROW][C]69[/C][C]2.66[/C][C]2.68280671296296[/C][C]2.69375[/C][C]-0.0109432870370371[/C][C]-0.022806712962963[/C][/ROW]
[ROW][C]70[/C][C]2.66[/C][C]2.69627893518519[/C][C]2.71625[/C][C]-0.0199710648148148[/C][C]-0.0362789351851851[/C][/ROW]
[ROW][C]71[/C][C]2.66[/C][C]2.70975115740741[/C][C]2.73875[/C][C]-0.0289988425925926[/C][C]-0.0497511574074072[/C][/ROW]
[ROW][C]72[/C][C]2.66[/C][C]2.72315393518519[/C][C]2.76125[/C][C]-0.0380960648148148[/C][C]-0.0631539351851851[/C][/ROW]
[ROW][C]73[/C][C]2.66[/C][C]2.7348900462963[/C][C]2.78375[/C][C]-0.0488599537037036[/C][C]-0.074890046296296[/C][/ROW]
[ROW][C]74[/C][C]2.93[/C][C]2.82829282407407[/C][C]2.80625[/C][C]0.0220428240740742[/C][C]0.101707175925926[/C][/ROW]
[ROW][C]75[/C][C]2.93[/C][C]2.87336226851852[/C][C]2.82875[/C][C]0.0446122685185185[/C][C]0.0566377314814819[/C][/ROW]
[ROW][C]76[/C][C]2.93[/C][C]2.88683449074074[/C][C]2.85125[/C][C]0.0355844907407407[/C][C]0.0431655092592593[/C][/ROW]
[ROW][C]77[/C][C]2.93[/C][C]2.8986400462963[/C][C]2.87375[/C][C]0.0248900462962963[/C][C]0.0313599537037037[/C][/ROW]
[ROW][C]78[/C][C]2.93[/C][C]2.91377893518519[/C][C]2.89625[/C][C]0.0175289351851851[/C][C]0.0162210648148147[/C][/ROW]
[ROW][C]79[/C][C]2.93[/C][C]NA[/C][C]NA[/C][C]0.00579282407407401[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]2.93[/C][C]NA[/C][C]NA[/C][C]-0.0035821759259259[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]2.93[/C][C]NA[/C][C]NA[/C][C]-0.0109432870370371[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]2.93[/C][C]NA[/C][C]NA[/C][C]-0.0199710648148148[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]2.93[/C][C]NA[/C][C]NA[/C][C]-0.0289988425925926[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]2.93[/C][C]NA[/C][C]NA[/C][C]-0.0380960648148148[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150875&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150875&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	2.2	NA	NA	-0.0488599537037036	NA
2	2.28	NA	NA	0.0220428240740742	NA
3	2.28	NA	NA	0.0446122685185185	NA
4	2.28	NA	NA	0.0355844907407407	NA
5	2.28	NA	NA	0.0248900462962963	NA
6	2.27	NA	NA	0.0175289351851851	NA
7	2.28	2.28037615740741	2.27458333333333	0.00579282407407401	-0.000376157407407263
8	2.27	2.27391782407407	2.2775	-0.0035821759259259	-0.00391782407407382
9	2.28	2.26655671296296	2.2775	-0.0109432870370371	0.0134432870370369
10	2.28	2.25752893518519	2.2775	-0.0199710648148148	0.0224710648148148
11	2.28	2.24808449074074	2.27708333333333	-0.0289988425925926	0.0319155092592593
12	2.28	2.23898726851852	2.27708333333333	-0.0380960648148148	0.0410127314814814
13	2.27	2.22822337962963	2.27708333333333	-0.0488599537037036	0.0417766203703707
14	2.28	2.29870949074074	2.27666666666667	0.0220428240740742	-0.0187094907407408
15	2.28	2.32086226851852	2.27625	0.0446122685185185	-0.0408622685185187
16	2.28	2.31100115740741	2.27541666666667	0.0355844907407407	-0.0310011574074074
17	2.27	2.29947337962963	2.27458333333333	0.0248900462962963	-0.0294733796296298
18	2.28	2.29127893518519	2.27375	0.0175289351851851	-0.0112789351851856
19	2.27	2.27912615740741	2.27333333333333	0.00579282407407401	-0.0091261574074073
20	2.27	2.27266782407407	2.27625	-0.0035821759259259	-0.00266782407407407
21	2.27	2.27905671296296	2.29	-0.0109432870370371	-0.00905671296296306
22	2.27	2.29169560185185	2.31166666666667	-0.0199710648148148	-0.0216956018518522
23	2.27	2.30475115740741	2.33375	-0.0289988425925926	-0.0347511574074075
24	2.27	2.31773726851852	2.35583333333333	-0.0380960648148148	-0.0477372685185187
25	2.27	2.32905671296296	2.37791666666667	-0.0488599537037036	-0.0590567129629629
26	2.35	2.42245949074074	2.40041666666667	0.0220428240740742	-0.0724594907407408
27	2.54	2.46752893518519	2.42291666666667	0.0446122685185185	0.072471064814815
28	2.54	2.48100115740741	2.44541666666667	0.0355844907407407	0.0589988425925929
29	2.54	2.49280671296296	2.46791666666667	0.0248900462962963	0.0471932870370373
30	2.54	2.50794560185185	2.49041666666667	0.0175289351851851	0.0320543981481483
31	2.54	2.51870949074074	2.51291666666667	0.00579282407407401	0.0212905092592597
32	2.54	2.52850115740741	2.53208333333333	-0.0035821759259259	0.011498842592593
33	2.54	2.52905671296296	2.54	-0.0109432870370371	0.0109432870370374
34	2.54	2.52002893518518	2.54	-0.0199710648148148	0.0199710648148153
35	2.54	2.51100115740741	2.54	-0.0289988425925926	0.0289988425925931
36	2.54	2.50190393518518	2.54	-0.0380960648148148	0.0380960648148152
37	2.54	2.4911400462963	2.54	-0.0488599537037036	0.0488599537037042
38	2.54	2.56204282407407	2.54	0.0220428240740742	-0.0220428240740738
39	2.54	2.58461226851852	2.54	0.0446122685185185	-0.044612268518518
40	2.54	2.57558449074074	2.54	0.0355844907407407	-0.0355844907407401
41	2.54	2.5648900462963	2.54	0.0248900462962963	-0.0248900462962958
42	2.54	2.55752893518518	2.54	0.0175289351851851	-0.0175289351851848
43	2.54	2.54579282407407	2.54	0.00579282407407401	-0.00579282407407344
44	2.54	2.54141782407407	2.545	-0.0035821759259259	-0.00141782407407343
45	2.54	2.54405671296296	2.555	-0.0109432870370371	-0.00405671296296273
46	2.54	2.54502893518518	2.565	-0.0199710648148148	-0.00502893518518466
47	2.54	2.54600115740741	2.575	-0.0289988425925926	-0.00600115740740703
48	2.54	2.54690393518518	2.585	-0.0380960648148148	-0.00690393518518473
49	2.54	2.5461400462963	2.595	-0.0488599537037036	-0.00614004629629594
50	2.66	2.62704282407407	2.605	0.0220428240740742	0.0329571759259264
51	2.66	2.65961226851852	2.615	0.0446122685185185	0.000387731481481968
52	2.66	2.66058449074074	2.625	0.0355844907407407	-0.000584490740739962
53	2.66	2.6598900462963	2.635	0.0248900462962963	0.000109953703704146
54	2.66	2.66252893518519	2.645	0.0175289351851851	-0.00252893518518515
55	2.66	2.66079282407407	2.655	0.00579282407407401	-0.000792824074073994
56	2.66	2.65641782407407	2.66	-0.0035821759259259	0.00358217592592602
57	2.66	2.64905671296296	2.66	-0.0109432870370371	0.010943287037037
58	2.66	2.64002893518519	2.66	-0.0199710648148148	0.0199710648148148
59	2.66	2.63100115740741	2.66	-0.0289988425925926	0.0289988425925927
60	2.66	2.62190393518519	2.66	-0.0380960648148148	0.0380960648148148
61	2.66	2.6111400462963	2.66	-0.0488599537037036	0.0488599537037038
62	2.66	2.68204282407407	2.66	0.0220428240740742	-0.0220428240740742
63	2.66	2.70461226851852	2.66	0.0446122685185185	-0.0446122685185184
64	2.66	2.69558449074074	2.66	0.0355844907407407	-0.0355844907407405
65	2.66	2.6848900462963	2.66	0.0248900462962963	-0.0248900462962962
66	2.66	2.67752893518519	2.66	0.0175289351851851	-0.0175289351851853
67	2.66	2.66579282407407	2.66	0.00579282407407401	-0.00579282407407389
68	2.66	2.66766782407407	2.67125	-0.0035821759259259	-0.00766782407407396
69	2.66	2.68280671296296	2.69375	-0.0109432870370371	-0.022806712962963
70	2.66	2.69627893518519	2.71625	-0.0199710648148148	-0.0362789351851851
71	2.66	2.70975115740741	2.73875	-0.0289988425925926	-0.0497511574074072
72	2.66	2.72315393518519	2.76125	-0.0380960648148148	-0.0631539351851851
73	2.66	2.7348900462963	2.78375	-0.0488599537037036	-0.074890046296296
74	2.93	2.82829282407407	2.80625	0.0220428240740742	0.101707175925926
75	2.93	2.87336226851852	2.82875	0.0446122685185185	0.0566377314814819
76	2.93	2.88683449074074	2.85125	0.0355844907407407	0.0431655092592593
77	2.93	2.8986400462963	2.87375	0.0248900462962963	0.0313599537037037
78	2.93	2.91377893518519	2.89625	0.0175289351851851	0.0162210648148147
79	2.93	NA	NA	0.00579282407407401	NA
80	2.93	NA	NA	-0.0035821759259259	NA
81	2.93	NA	NA	-0.0109432870370371	NA
82	2.93	NA	NA	-0.0199710648148148	NA
83	2.93	NA	NA	-0.0289988425925926	NA
84	2.93	NA	NA	-0.0380960648148148	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = additive ; par2 = 12 ;

Parameters (R input):

par1 = additive ; par2 = 12 ;

R code (references can be found in the software module):

par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code