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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Wed, 27 May 2015 09:20:20 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/27/t1432714954xc01ptxn6e8bng8.htm/, Retrieved Sat, 04 May 2024 08:45:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279469, Retrieved Sat, 04 May 2024 08:45:50 +0000

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Estimated Impact

163

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-       [Classical Decomposition] [] [2015-05-27 08:20:20] [4696c8cdb98c635bcaa184793f2e8dd7] [Current]

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Dataseries X:

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2,07
2,2
2,29
2,32
2,37
2,38
2,38
2,28
2,22
2,25
2,3
2,3
2,23
2,27
2,3
2,32
2,41
2,43
2,45
2,47
2,46
2,5
2,46
2,43
2,37
2,45
2,53
2,56
2,62
2,67
2,62
2,6
2,53
2,49
2,48
2,44
2,36
2,35
2,44
2,5
2,58
2,55
2,44
2,3
2,24
2,19
2,25
2,28
2,27
2,37
2,47
2,5
2,47
2,61
2,61
2,65
2,43
2,43
2,33
2,27
2,22
2,17
2,28
2,3
2,33
2,44
2,41
2,4
2,34
2,37
2,38
2,3
2,29
2,34
2,35
2,38
2,37
2,45
2,51
2,46
2,42
2,48
2,44
2,43
2,36
2,42
2,42
2,43
2,47
2,54
2,55
2,55
2,49
2,54
2,55
2,5

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	'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279469&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279469&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279469&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	'George Udny Yule' @ yule.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	2.07	NA	NA	0.955998	NA
2	2.2	NA	NA	0.970781	NA
3	2.29	NA	NA	0.994277	NA
4	2.32	NA	NA	1.00472	NA
5	2.37	NA	NA	1.01884	NA
6	2.38	NA	NA	1.04375	NA
7	2.38	2.37599	2.28667	1.03906	1.00169
8	2.28	2.34647	2.29625	1.02187	0.971673
9	2.22	2.27684	2.29958	0.990109	0.975037
10	2.25	2.28566	2.3	0.993766	0.984398
11	2.3	2.27716	2.30167	0.989351	1.01003
12	2.3	2.2535	2.30542	0.977481	1.02063
13	2.23	2.20875	2.31042	0.955998	1.00962
14	2.27	2.25342	2.32125	0.970781	1.00736
15	2.3	2.32578	2.33917	0.994277	0.988915
16	2.32	2.37072	2.35958	1.00472	0.978606
17	2.41	2.42144	2.37667	1.01884	0.995275
18	2.43	2.49325	2.38875	1.04375	0.974633
19	2.45	2.49375	2.4	1.03906	0.982455
20	2.47	2.46611	2.41333	1.02187	1.00158
21	2.46	2.40638	2.43042	0.990109	1.02228
22	2.5	2.43473	2.45	0.993766	1.02681
23	2.46	2.44246	2.46875	0.989351	1.00718
24	2.43	2.43148	2.4875	0.977481	0.999389
25	2.37	2.39438	2.50458	0.955998	0.989819
26	2.45	2.44354	2.51708	0.970781	1.00265
27	2.53	2.51096	2.52542	0.994277	1.00758
28	2.56	2.53985	2.52792	1.00472	1.00794
29	2.62	2.57596	2.52833	1.01884	1.01709
30	2.67	2.64024	2.52958	1.04375	1.01127
31	2.62	2.6284	2.52958	1.03906	0.996804
32	2.6	2.58022	2.525	1.02187	1.00767
33	2.53	2.49219	2.51708	0.990109	1.01517
34	2.49	2.49518	2.51083	0.993766	0.997924
35	2.48	2.47997	2.50667	0.989351	1.00001
36	2.44	2.4437	2.5	0.977481	0.998485
37	2.36	2.37805	2.4875	0.955998	0.992411
38	2.35	2.3954	2.4675	0.970781	0.981046
39	2.44	2.42894	2.44292	0.994277	1.00455
40	2.5	2.42975	2.41833	1.00472	1.02891
41	2.58	2.44139	2.39625	1.01884	1.05677
42	2.55	2.48411	2.38	1.04375	1.02652
43	2.44	2.46215	2.36958	1.03906	0.991004
44	2.3	2.41842	2.36667	1.02187	0.951033
45	2.24	2.34532	2.36875	0.990109	0.955093
46	2.19	2.35523	2.37	0.993766	0.929847
47	2.25	2.34023	2.36542	0.989351	0.961445
48	2.28	2.31011	2.36333	0.977481	0.986964
49	2.27	2.2685	2.37292	0.955998	1.00066
50	2.37	2.32462	2.39458	0.970781	1.01952
51	2.47	2.40325	2.41708	0.994277	1.02777
52	2.5	2.44649	2.435	1.00472	1.02187
53	2.47	2.49446	2.44833	1.01884	0.990195
54	2.61	2.55848	2.45125	1.04375	1.02014
55	2.61	2.54441	2.44875	1.03906	1.02578
56	2.65	2.49166	2.43833	1.02187	1.06355
57	2.43	2.39813	2.42208	0.990109	1.01329
58	2.43	2.39084	2.40583	0.993766	1.01638
59	2.33	2.3662	2.39167	0.989351	0.984702
60	2.27	2.32518	2.37875	0.977481	0.976267
61	2.22	2.25934	2.36333	0.955998	0.982587
62	2.17	2.27608	2.34458	0.970781	0.953395
63	2.28	2.31708	2.33042	0.994277	0.983997
64	2.3	2.33513	2.32417	1.00472	0.984954
65	2.33	2.36753	2.32375	1.01884	0.984149
66	2.44	2.42888	2.32708	1.04375	1.00458
67	2.41	2.42232	2.33125	1.03906	0.994915
68	2.4	2.39245	2.34125	1.02187	1.00316
69	2.34	2.32799	2.35125	0.990109	1.00516
70	2.37	2.3428	2.3575	0.993766	1.01161
71	2.38	2.33734	2.3625	0.989351	1.01825
72	2.3	2.31134	2.36458	0.977481	0.995096
73	2.29	2.26492	2.36917	0.955998	1.01107
74	2.34	2.30641	2.37583	0.970781	1.01456
75	2.35	2.36804	2.38167	0.994277	0.992383
76	2.38	2.40086	2.38958	1.00472	0.991311
77	2.37	2.44182	2.39667	1.01884	0.970589
78	2.45	2.50977	2.40458	1.04375	0.976184
79	2.51	2.50718	2.41292	1.03906	1.00113
80	2.46	2.47207	2.41917	1.02187	0.995117
81	2.42	2.40143	2.42542	0.990109	1.00773
82	2.48	2.41527	2.43042	0.993766	1.0268
83	2.44	2.41072	2.43667	0.989351	1.01215
84	2.43	2.38953	2.44458	0.977481	1.01693
85	2.36	2.3422	2.45	0.955998	1.0076
86	2.42	2.38367	2.45542	0.970781	1.01524
87	2.42	2.44799	2.46208	0.994277	0.988565
88	2.43	2.47914	2.4675	1.00472	0.980177
89	2.47	2.5212	2.47458	1.01884	0.979692
90	2.54	2.59066	2.48208	1.04375	0.980444
91	2.55	NA	NA	1.03906	NA
92	2.55	NA	NA	1.02187	NA
93	2.49	NA	NA	0.990109	NA
94	2.54	NA	NA	0.993766	NA
95	2.55	NA	NA	0.989351	NA
96	2.5	NA	NA	0.977481	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 2.07 & NA & NA & 0.955998 & NA \tabularnewline
2 & 2.2 & NA & NA & 0.970781 & NA \tabularnewline
3 & 2.29 & NA & NA & 0.994277 & NA \tabularnewline
4 & 2.32 & NA & NA & 1.00472 & NA \tabularnewline
5 & 2.37 & NA & NA & 1.01884 & NA \tabularnewline
6 & 2.38 & NA & NA & 1.04375 & NA \tabularnewline
7 & 2.38 & 2.37599 & 2.28667 & 1.03906 & 1.00169 \tabularnewline
8 & 2.28 & 2.34647 & 2.29625 & 1.02187 & 0.971673 \tabularnewline
9 & 2.22 & 2.27684 & 2.29958 & 0.990109 & 0.975037 \tabularnewline
10 & 2.25 & 2.28566 & 2.3 & 0.993766 & 0.984398 \tabularnewline
11 & 2.3 & 2.27716 & 2.30167 & 0.989351 & 1.01003 \tabularnewline
12 & 2.3 & 2.2535 & 2.30542 & 0.977481 & 1.02063 \tabularnewline
13 & 2.23 & 2.20875 & 2.31042 & 0.955998 & 1.00962 \tabularnewline
14 & 2.27 & 2.25342 & 2.32125 & 0.970781 & 1.00736 \tabularnewline
15 & 2.3 & 2.32578 & 2.33917 & 0.994277 & 0.988915 \tabularnewline
16 & 2.32 & 2.37072 & 2.35958 & 1.00472 & 0.978606 \tabularnewline
17 & 2.41 & 2.42144 & 2.37667 & 1.01884 & 0.995275 \tabularnewline
18 & 2.43 & 2.49325 & 2.38875 & 1.04375 & 0.974633 \tabularnewline
19 & 2.45 & 2.49375 & 2.4 & 1.03906 & 0.982455 \tabularnewline
20 & 2.47 & 2.46611 & 2.41333 & 1.02187 & 1.00158 \tabularnewline
21 & 2.46 & 2.40638 & 2.43042 & 0.990109 & 1.02228 \tabularnewline
22 & 2.5 & 2.43473 & 2.45 & 0.993766 & 1.02681 \tabularnewline
23 & 2.46 & 2.44246 & 2.46875 & 0.989351 & 1.00718 \tabularnewline
24 & 2.43 & 2.43148 & 2.4875 & 0.977481 & 0.999389 \tabularnewline
25 & 2.37 & 2.39438 & 2.50458 & 0.955998 & 0.989819 \tabularnewline
26 & 2.45 & 2.44354 & 2.51708 & 0.970781 & 1.00265 \tabularnewline
27 & 2.53 & 2.51096 & 2.52542 & 0.994277 & 1.00758 \tabularnewline
28 & 2.56 & 2.53985 & 2.52792 & 1.00472 & 1.00794 \tabularnewline
29 & 2.62 & 2.57596 & 2.52833 & 1.01884 & 1.01709 \tabularnewline
30 & 2.67 & 2.64024 & 2.52958 & 1.04375 & 1.01127 \tabularnewline
31 & 2.62 & 2.6284 & 2.52958 & 1.03906 & 0.996804 \tabularnewline
32 & 2.6 & 2.58022 & 2.525 & 1.02187 & 1.00767 \tabularnewline
33 & 2.53 & 2.49219 & 2.51708 & 0.990109 & 1.01517 \tabularnewline
34 & 2.49 & 2.49518 & 2.51083 & 0.993766 & 0.997924 \tabularnewline
35 & 2.48 & 2.47997 & 2.50667 & 0.989351 & 1.00001 \tabularnewline
36 & 2.44 & 2.4437 & 2.5 & 0.977481 & 0.998485 \tabularnewline
37 & 2.36 & 2.37805 & 2.4875 & 0.955998 & 0.992411 \tabularnewline
38 & 2.35 & 2.3954 & 2.4675 & 0.970781 & 0.981046 \tabularnewline
39 & 2.44 & 2.42894 & 2.44292 & 0.994277 & 1.00455 \tabularnewline
40 & 2.5 & 2.42975 & 2.41833 & 1.00472 & 1.02891 \tabularnewline
41 & 2.58 & 2.44139 & 2.39625 & 1.01884 & 1.05677 \tabularnewline
42 & 2.55 & 2.48411 & 2.38 & 1.04375 & 1.02652 \tabularnewline
43 & 2.44 & 2.46215 & 2.36958 & 1.03906 & 0.991004 \tabularnewline
44 & 2.3 & 2.41842 & 2.36667 & 1.02187 & 0.951033 \tabularnewline
45 & 2.24 & 2.34532 & 2.36875 & 0.990109 & 0.955093 \tabularnewline
46 & 2.19 & 2.35523 & 2.37 & 0.993766 & 0.929847 \tabularnewline
47 & 2.25 & 2.34023 & 2.36542 & 0.989351 & 0.961445 \tabularnewline
48 & 2.28 & 2.31011 & 2.36333 & 0.977481 & 0.986964 \tabularnewline
49 & 2.27 & 2.2685 & 2.37292 & 0.955998 & 1.00066 \tabularnewline
50 & 2.37 & 2.32462 & 2.39458 & 0.970781 & 1.01952 \tabularnewline
51 & 2.47 & 2.40325 & 2.41708 & 0.994277 & 1.02777 \tabularnewline
52 & 2.5 & 2.44649 & 2.435 & 1.00472 & 1.02187 \tabularnewline
53 & 2.47 & 2.49446 & 2.44833 & 1.01884 & 0.990195 \tabularnewline
54 & 2.61 & 2.55848 & 2.45125 & 1.04375 & 1.02014 \tabularnewline
55 & 2.61 & 2.54441 & 2.44875 & 1.03906 & 1.02578 \tabularnewline
56 & 2.65 & 2.49166 & 2.43833 & 1.02187 & 1.06355 \tabularnewline
57 & 2.43 & 2.39813 & 2.42208 & 0.990109 & 1.01329 \tabularnewline
58 & 2.43 & 2.39084 & 2.40583 & 0.993766 & 1.01638 \tabularnewline
59 & 2.33 & 2.3662 & 2.39167 & 0.989351 & 0.984702 \tabularnewline
60 & 2.27 & 2.32518 & 2.37875 & 0.977481 & 0.976267 \tabularnewline
61 & 2.22 & 2.25934 & 2.36333 & 0.955998 & 0.982587 \tabularnewline
62 & 2.17 & 2.27608 & 2.34458 & 0.970781 & 0.953395 \tabularnewline
63 & 2.28 & 2.31708 & 2.33042 & 0.994277 & 0.983997 \tabularnewline
64 & 2.3 & 2.33513 & 2.32417 & 1.00472 & 0.984954 \tabularnewline
65 & 2.33 & 2.36753 & 2.32375 & 1.01884 & 0.984149 \tabularnewline
66 & 2.44 & 2.42888 & 2.32708 & 1.04375 & 1.00458 \tabularnewline
67 & 2.41 & 2.42232 & 2.33125 & 1.03906 & 0.994915 \tabularnewline
68 & 2.4 & 2.39245 & 2.34125 & 1.02187 & 1.00316 \tabularnewline
69 & 2.34 & 2.32799 & 2.35125 & 0.990109 & 1.00516 \tabularnewline
70 & 2.37 & 2.3428 & 2.3575 & 0.993766 & 1.01161 \tabularnewline
71 & 2.38 & 2.33734 & 2.3625 & 0.989351 & 1.01825 \tabularnewline
72 & 2.3 & 2.31134 & 2.36458 & 0.977481 & 0.995096 \tabularnewline
73 & 2.29 & 2.26492 & 2.36917 & 0.955998 & 1.01107 \tabularnewline
74 & 2.34 & 2.30641 & 2.37583 & 0.970781 & 1.01456 \tabularnewline
75 & 2.35 & 2.36804 & 2.38167 & 0.994277 & 0.992383 \tabularnewline
76 & 2.38 & 2.40086 & 2.38958 & 1.00472 & 0.991311 \tabularnewline
77 & 2.37 & 2.44182 & 2.39667 & 1.01884 & 0.970589 \tabularnewline
78 & 2.45 & 2.50977 & 2.40458 & 1.04375 & 0.976184 \tabularnewline
79 & 2.51 & 2.50718 & 2.41292 & 1.03906 & 1.00113 \tabularnewline
80 & 2.46 & 2.47207 & 2.41917 & 1.02187 & 0.995117 \tabularnewline
81 & 2.42 & 2.40143 & 2.42542 & 0.990109 & 1.00773 \tabularnewline
82 & 2.48 & 2.41527 & 2.43042 & 0.993766 & 1.0268 \tabularnewline
83 & 2.44 & 2.41072 & 2.43667 & 0.989351 & 1.01215 \tabularnewline
84 & 2.43 & 2.38953 & 2.44458 & 0.977481 & 1.01693 \tabularnewline
85 & 2.36 & 2.3422 & 2.45 & 0.955998 & 1.0076 \tabularnewline
86 & 2.42 & 2.38367 & 2.45542 & 0.970781 & 1.01524 \tabularnewline
87 & 2.42 & 2.44799 & 2.46208 & 0.994277 & 0.988565 \tabularnewline
88 & 2.43 & 2.47914 & 2.4675 & 1.00472 & 0.980177 \tabularnewline
89 & 2.47 & 2.5212 & 2.47458 & 1.01884 & 0.979692 \tabularnewline
90 & 2.54 & 2.59066 & 2.48208 & 1.04375 & 0.980444 \tabularnewline
91 & 2.55 & NA & NA & 1.03906 & NA \tabularnewline
92 & 2.55 & NA & NA & 1.02187 & NA \tabularnewline
93 & 2.49 & NA & NA & 0.990109 & NA \tabularnewline
94 & 2.54 & NA & NA & 0.993766 & NA \tabularnewline
95 & 2.55 & NA & NA & 0.989351 & NA \tabularnewline
96 & 2.5 & NA & NA & 0.977481 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279469&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]2.07[/C][C]NA[/C][C]NA[/C][C]0.955998[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]2.2[/C][C]NA[/C][C]NA[/C][C]0.970781[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]2.29[/C][C]NA[/C][C]NA[/C][C]0.994277[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]2.32[/C][C]NA[/C][C]NA[/C][C]1.00472[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]2.37[/C][C]NA[/C][C]NA[/C][C]1.01884[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]2.38[/C][C]NA[/C][C]NA[/C][C]1.04375[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]2.38[/C][C]2.37599[/C][C]2.28667[/C][C]1.03906[/C][C]1.00169[/C][/ROW]
[ROW][C]8[/C][C]2.28[/C][C]2.34647[/C][C]2.29625[/C][C]1.02187[/C][C]0.971673[/C][/ROW]
[ROW][C]9[/C][C]2.22[/C][C]2.27684[/C][C]2.29958[/C][C]0.990109[/C][C]0.975037[/C][/ROW]
[ROW][C]10[/C][C]2.25[/C][C]2.28566[/C][C]2.3[/C][C]0.993766[/C][C]0.984398[/C][/ROW]
[ROW][C]11[/C][C]2.3[/C][C]2.27716[/C][C]2.30167[/C][C]0.989351[/C][C]1.01003[/C][/ROW]
[ROW][C]12[/C][C]2.3[/C][C]2.2535[/C][C]2.30542[/C][C]0.977481[/C][C]1.02063[/C][/ROW]
[ROW][C]13[/C][C]2.23[/C][C]2.20875[/C][C]2.31042[/C][C]0.955998[/C][C]1.00962[/C][/ROW]
[ROW][C]14[/C][C]2.27[/C][C]2.25342[/C][C]2.32125[/C][C]0.970781[/C][C]1.00736[/C][/ROW]
[ROW][C]15[/C][C]2.3[/C][C]2.32578[/C][C]2.33917[/C][C]0.994277[/C][C]0.988915[/C][/ROW]
[ROW][C]16[/C][C]2.32[/C][C]2.37072[/C][C]2.35958[/C][C]1.00472[/C][C]0.978606[/C][/ROW]
[ROW][C]17[/C][C]2.41[/C][C]2.42144[/C][C]2.37667[/C][C]1.01884[/C][C]0.995275[/C][/ROW]
[ROW][C]18[/C][C]2.43[/C][C]2.49325[/C][C]2.38875[/C][C]1.04375[/C][C]0.974633[/C][/ROW]
[ROW][C]19[/C][C]2.45[/C][C]2.49375[/C][C]2.4[/C][C]1.03906[/C][C]0.982455[/C][/ROW]
[ROW][C]20[/C][C]2.47[/C][C]2.46611[/C][C]2.41333[/C][C]1.02187[/C][C]1.00158[/C][/ROW]
[ROW][C]21[/C][C]2.46[/C][C]2.40638[/C][C]2.43042[/C][C]0.990109[/C][C]1.02228[/C][/ROW]
[ROW][C]22[/C][C]2.5[/C][C]2.43473[/C][C]2.45[/C][C]0.993766[/C][C]1.02681[/C][/ROW]
[ROW][C]23[/C][C]2.46[/C][C]2.44246[/C][C]2.46875[/C][C]0.989351[/C][C]1.00718[/C][/ROW]
[ROW][C]24[/C][C]2.43[/C][C]2.43148[/C][C]2.4875[/C][C]0.977481[/C][C]0.999389[/C][/ROW]
[ROW][C]25[/C][C]2.37[/C][C]2.39438[/C][C]2.50458[/C][C]0.955998[/C][C]0.989819[/C][/ROW]
[ROW][C]26[/C][C]2.45[/C][C]2.44354[/C][C]2.51708[/C][C]0.970781[/C][C]1.00265[/C][/ROW]
[ROW][C]27[/C][C]2.53[/C][C]2.51096[/C][C]2.52542[/C][C]0.994277[/C][C]1.00758[/C][/ROW]
[ROW][C]28[/C][C]2.56[/C][C]2.53985[/C][C]2.52792[/C][C]1.00472[/C][C]1.00794[/C][/ROW]
[ROW][C]29[/C][C]2.62[/C][C]2.57596[/C][C]2.52833[/C][C]1.01884[/C][C]1.01709[/C][/ROW]
[ROW][C]30[/C][C]2.67[/C][C]2.64024[/C][C]2.52958[/C][C]1.04375[/C][C]1.01127[/C][/ROW]
[ROW][C]31[/C][C]2.62[/C][C]2.6284[/C][C]2.52958[/C][C]1.03906[/C][C]0.996804[/C][/ROW]
[ROW][C]32[/C][C]2.6[/C][C]2.58022[/C][C]2.525[/C][C]1.02187[/C][C]1.00767[/C][/ROW]
[ROW][C]33[/C][C]2.53[/C][C]2.49219[/C][C]2.51708[/C][C]0.990109[/C][C]1.01517[/C][/ROW]
[ROW][C]34[/C][C]2.49[/C][C]2.49518[/C][C]2.51083[/C][C]0.993766[/C][C]0.997924[/C][/ROW]
[ROW][C]35[/C][C]2.48[/C][C]2.47997[/C][C]2.50667[/C][C]0.989351[/C][C]1.00001[/C][/ROW]
[ROW][C]36[/C][C]2.44[/C][C]2.4437[/C][C]2.5[/C][C]0.977481[/C][C]0.998485[/C][/ROW]
[ROW][C]37[/C][C]2.36[/C][C]2.37805[/C][C]2.4875[/C][C]0.955998[/C][C]0.992411[/C][/ROW]
[ROW][C]38[/C][C]2.35[/C][C]2.3954[/C][C]2.4675[/C][C]0.970781[/C][C]0.981046[/C][/ROW]
[ROW][C]39[/C][C]2.44[/C][C]2.42894[/C][C]2.44292[/C][C]0.994277[/C][C]1.00455[/C][/ROW]
[ROW][C]40[/C][C]2.5[/C][C]2.42975[/C][C]2.41833[/C][C]1.00472[/C][C]1.02891[/C][/ROW]
[ROW][C]41[/C][C]2.58[/C][C]2.44139[/C][C]2.39625[/C][C]1.01884[/C][C]1.05677[/C][/ROW]
[ROW][C]42[/C][C]2.55[/C][C]2.48411[/C][C]2.38[/C][C]1.04375[/C][C]1.02652[/C][/ROW]
[ROW][C]43[/C][C]2.44[/C][C]2.46215[/C][C]2.36958[/C][C]1.03906[/C][C]0.991004[/C][/ROW]
[ROW][C]44[/C][C]2.3[/C][C]2.41842[/C][C]2.36667[/C][C]1.02187[/C][C]0.951033[/C][/ROW]
[ROW][C]45[/C][C]2.24[/C][C]2.34532[/C][C]2.36875[/C][C]0.990109[/C][C]0.955093[/C][/ROW]
[ROW][C]46[/C][C]2.19[/C][C]2.35523[/C][C]2.37[/C][C]0.993766[/C][C]0.929847[/C][/ROW]
[ROW][C]47[/C][C]2.25[/C][C]2.34023[/C][C]2.36542[/C][C]0.989351[/C][C]0.961445[/C][/ROW]
[ROW][C]48[/C][C]2.28[/C][C]2.31011[/C][C]2.36333[/C][C]0.977481[/C][C]0.986964[/C][/ROW]
[ROW][C]49[/C][C]2.27[/C][C]2.2685[/C][C]2.37292[/C][C]0.955998[/C][C]1.00066[/C][/ROW]
[ROW][C]50[/C][C]2.37[/C][C]2.32462[/C][C]2.39458[/C][C]0.970781[/C][C]1.01952[/C][/ROW]
[ROW][C]51[/C][C]2.47[/C][C]2.40325[/C][C]2.41708[/C][C]0.994277[/C][C]1.02777[/C][/ROW]
[ROW][C]52[/C][C]2.5[/C][C]2.44649[/C][C]2.435[/C][C]1.00472[/C][C]1.02187[/C][/ROW]
[ROW][C]53[/C][C]2.47[/C][C]2.49446[/C][C]2.44833[/C][C]1.01884[/C][C]0.990195[/C][/ROW]
[ROW][C]54[/C][C]2.61[/C][C]2.55848[/C][C]2.45125[/C][C]1.04375[/C][C]1.02014[/C][/ROW]
[ROW][C]55[/C][C]2.61[/C][C]2.54441[/C][C]2.44875[/C][C]1.03906[/C][C]1.02578[/C][/ROW]
[ROW][C]56[/C][C]2.65[/C][C]2.49166[/C][C]2.43833[/C][C]1.02187[/C][C]1.06355[/C][/ROW]
[ROW][C]57[/C][C]2.43[/C][C]2.39813[/C][C]2.42208[/C][C]0.990109[/C][C]1.01329[/C][/ROW]
[ROW][C]58[/C][C]2.43[/C][C]2.39084[/C][C]2.40583[/C][C]0.993766[/C][C]1.01638[/C][/ROW]
[ROW][C]59[/C][C]2.33[/C][C]2.3662[/C][C]2.39167[/C][C]0.989351[/C][C]0.984702[/C][/ROW]
[ROW][C]60[/C][C]2.27[/C][C]2.32518[/C][C]2.37875[/C][C]0.977481[/C][C]0.976267[/C][/ROW]
[ROW][C]61[/C][C]2.22[/C][C]2.25934[/C][C]2.36333[/C][C]0.955998[/C][C]0.982587[/C][/ROW]
[ROW][C]62[/C][C]2.17[/C][C]2.27608[/C][C]2.34458[/C][C]0.970781[/C][C]0.953395[/C][/ROW]
[ROW][C]63[/C][C]2.28[/C][C]2.31708[/C][C]2.33042[/C][C]0.994277[/C][C]0.983997[/C][/ROW]
[ROW][C]64[/C][C]2.3[/C][C]2.33513[/C][C]2.32417[/C][C]1.00472[/C][C]0.984954[/C][/ROW]
[ROW][C]65[/C][C]2.33[/C][C]2.36753[/C][C]2.32375[/C][C]1.01884[/C][C]0.984149[/C][/ROW]
[ROW][C]66[/C][C]2.44[/C][C]2.42888[/C][C]2.32708[/C][C]1.04375[/C][C]1.00458[/C][/ROW]
[ROW][C]67[/C][C]2.41[/C][C]2.42232[/C][C]2.33125[/C][C]1.03906[/C][C]0.994915[/C][/ROW]
[ROW][C]68[/C][C]2.4[/C][C]2.39245[/C][C]2.34125[/C][C]1.02187[/C][C]1.00316[/C][/ROW]
[ROW][C]69[/C][C]2.34[/C][C]2.32799[/C][C]2.35125[/C][C]0.990109[/C][C]1.00516[/C][/ROW]
[ROW][C]70[/C][C]2.37[/C][C]2.3428[/C][C]2.3575[/C][C]0.993766[/C][C]1.01161[/C][/ROW]
[ROW][C]71[/C][C]2.38[/C][C]2.33734[/C][C]2.3625[/C][C]0.989351[/C][C]1.01825[/C][/ROW]
[ROW][C]72[/C][C]2.3[/C][C]2.31134[/C][C]2.36458[/C][C]0.977481[/C][C]0.995096[/C][/ROW]
[ROW][C]73[/C][C]2.29[/C][C]2.26492[/C][C]2.36917[/C][C]0.955998[/C][C]1.01107[/C][/ROW]
[ROW][C]74[/C][C]2.34[/C][C]2.30641[/C][C]2.37583[/C][C]0.970781[/C][C]1.01456[/C][/ROW]
[ROW][C]75[/C][C]2.35[/C][C]2.36804[/C][C]2.38167[/C][C]0.994277[/C][C]0.992383[/C][/ROW]
[ROW][C]76[/C][C]2.38[/C][C]2.40086[/C][C]2.38958[/C][C]1.00472[/C][C]0.991311[/C][/ROW]
[ROW][C]77[/C][C]2.37[/C][C]2.44182[/C][C]2.39667[/C][C]1.01884[/C][C]0.970589[/C][/ROW]
[ROW][C]78[/C][C]2.45[/C][C]2.50977[/C][C]2.40458[/C][C]1.04375[/C][C]0.976184[/C][/ROW]
[ROW][C]79[/C][C]2.51[/C][C]2.50718[/C][C]2.41292[/C][C]1.03906[/C][C]1.00113[/C][/ROW]
[ROW][C]80[/C][C]2.46[/C][C]2.47207[/C][C]2.41917[/C][C]1.02187[/C][C]0.995117[/C][/ROW]
[ROW][C]81[/C][C]2.42[/C][C]2.40143[/C][C]2.42542[/C][C]0.990109[/C][C]1.00773[/C][/ROW]
[ROW][C]82[/C][C]2.48[/C][C]2.41527[/C][C]2.43042[/C][C]0.993766[/C][C]1.0268[/C][/ROW]
[ROW][C]83[/C][C]2.44[/C][C]2.41072[/C][C]2.43667[/C][C]0.989351[/C][C]1.01215[/C][/ROW]
[ROW][C]84[/C][C]2.43[/C][C]2.38953[/C][C]2.44458[/C][C]0.977481[/C][C]1.01693[/C][/ROW]
[ROW][C]85[/C][C]2.36[/C][C]2.3422[/C][C]2.45[/C][C]0.955998[/C][C]1.0076[/C][/ROW]
[ROW][C]86[/C][C]2.42[/C][C]2.38367[/C][C]2.45542[/C][C]0.970781[/C][C]1.01524[/C][/ROW]
[ROW][C]87[/C][C]2.42[/C][C]2.44799[/C][C]2.46208[/C][C]0.994277[/C][C]0.988565[/C][/ROW]
[ROW][C]88[/C][C]2.43[/C][C]2.47914[/C][C]2.4675[/C][C]1.00472[/C][C]0.980177[/C][/ROW]
[ROW][C]89[/C][C]2.47[/C][C]2.5212[/C][C]2.47458[/C][C]1.01884[/C][C]0.979692[/C][/ROW]
[ROW][C]90[/C][C]2.54[/C][C]2.59066[/C][C]2.48208[/C][C]1.04375[/C][C]0.980444[/C][/ROW]
[ROW][C]91[/C][C]2.55[/C][C]NA[/C][C]NA[/C][C]1.03906[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]2.55[/C][C]NA[/C][C]NA[/C][C]1.02187[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]2.49[/C][C]NA[/C][C]NA[/C][C]0.990109[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]2.54[/C][C]NA[/C][C]NA[/C][C]0.993766[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]2.55[/C][C]NA[/C][C]NA[/C][C]0.989351[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]2.5[/C][C]NA[/C][C]NA[/C][C]0.977481[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279469&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279469&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	2.07	NA	NA	0.955998	NA
2	2.2	NA	NA	0.970781	NA
3	2.29	NA	NA	0.994277	NA
4	2.32	NA	NA	1.00472	NA
5	2.37	NA	NA	1.01884	NA
6	2.38	NA	NA	1.04375	NA
7	2.38	2.37599	2.28667	1.03906	1.00169
8	2.28	2.34647	2.29625	1.02187	0.971673
9	2.22	2.27684	2.29958	0.990109	0.975037
10	2.25	2.28566	2.3	0.993766	0.984398
11	2.3	2.27716	2.30167	0.989351	1.01003
12	2.3	2.2535	2.30542	0.977481	1.02063
13	2.23	2.20875	2.31042	0.955998	1.00962
14	2.27	2.25342	2.32125	0.970781	1.00736
15	2.3	2.32578	2.33917	0.994277	0.988915
16	2.32	2.37072	2.35958	1.00472	0.978606
17	2.41	2.42144	2.37667	1.01884	0.995275
18	2.43	2.49325	2.38875	1.04375	0.974633
19	2.45	2.49375	2.4	1.03906	0.982455
20	2.47	2.46611	2.41333	1.02187	1.00158
21	2.46	2.40638	2.43042	0.990109	1.02228
22	2.5	2.43473	2.45	0.993766	1.02681
23	2.46	2.44246	2.46875	0.989351	1.00718
24	2.43	2.43148	2.4875	0.977481	0.999389
25	2.37	2.39438	2.50458	0.955998	0.989819
26	2.45	2.44354	2.51708	0.970781	1.00265
27	2.53	2.51096	2.52542	0.994277	1.00758
28	2.56	2.53985	2.52792	1.00472	1.00794
29	2.62	2.57596	2.52833	1.01884	1.01709
30	2.67	2.64024	2.52958	1.04375	1.01127
31	2.62	2.6284	2.52958	1.03906	0.996804
32	2.6	2.58022	2.525	1.02187	1.00767
33	2.53	2.49219	2.51708	0.990109	1.01517
34	2.49	2.49518	2.51083	0.993766	0.997924
35	2.48	2.47997	2.50667	0.989351	1.00001
36	2.44	2.4437	2.5	0.977481	0.998485
37	2.36	2.37805	2.4875	0.955998	0.992411
38	2.35	2.3954	2.4675	0.970781	0.981046
39	2.44	2.42894	2.44292	0.994277	1.00455
40	2.5	2.42975	2.41833	1.00472	1.02891
41	2.58	2.44139	2.39625	1.01884	1.05677
42	2.55	2.48411	2.38	1.04375	1.02652
43	2.44	2.46215	2.36958	1.03906	0.991004
44	2.3	2.41842	2.36667	1.02187	0.951033
45	2.24	2.34532	2.36875	0.990109	0.955093
46	2.19	2.35523	2.37	0.993766	0.929847
47	2.25	2.34023	2.36542	0.989351	0.961445
48	2.28	2.31011	2.36333	0.977481	0.986964
49	2.27	2.2685	2.37292	0.955998	1.00066
50	2.37	2.32462	2.39458	0.970781	1.01952
51	2.47	2.40325	2.41708	0.994277	1.02777
52	2.5	2.44649	2.435	1.00472	1.02187
53	2.47	2.49446	2.44833	1.01884	0.990195
54	2.61	2.55848	2.45125	1.04375	1.02014
55	2.61	2.54441	2.44875	1.03906	1.02578
56	2.65	2.49166	2.43833	1.02187	1.06355
57	2.43	2.39813	2.42208	0.990109	1.01329
58	2.43	2.39084	2.40583	0.993766	1.01638
59	2.33	2.3662	2.39167	0.989351	0.984702
60	2.27	2.32518	2.37875	0.977481	0.976267
61	2.22	2.25934	2.36333	0.955998	0.982587
62	2.17	2.27608	2.34458	0.970781	0.953395
63	2.28	2.31708	2.33042	0.994277	0.983997
64	2.3	2.33513	2.32417	1.00472	0.984954
65	2.33	2.36753	2.32375	1.01884	0.984149
66	2.44	2.42888	2.32708	1.04375	1.00458
67	2.41	2.42232	2.33125	1.03906	0.994915
68	2.4	2.39245	2.34125	1.02187	1.00316
69	2.34	2.32799	2.35125	0.990109	1.00516
70	2.37	2.3428	2.3575	0.993766	1.01161
71	2.38	2.33734	2.3625	0.989351	1.01825
72	2.3	2.31134	2.36458	0.977481	0.995096
73	2.29	2.26492	2.36917	0.955998	1.01107
74	2.34	2.30641	2.37583	0.970781	1.01456
75	2.35	2.36804	2.38167	0.994277	0.992383
76	2.38	2.40086	2.38958	1.00472	0.991311
77	2.37	2.44182	2.39667	1.01884	0.970589
78	2.45	2.50977	2.40458	1.04375	0.976184
79	2.51	2.50718	2.41292	1.03906	1.00113
80	2.46	2.47207	2.41917	1.02187	0.995117
81	2.42	2.40143	2.42542	0.990109	1.00773
82	2.48	2.41527	2.43042	0.993766	1.0268
83	2.44	2.41072	2.43667	0.989351	1.01215
84	2.43	2.38953	2.44458	0.977481	1.01693
85	2.36	2.3422	2.45	0.955998	1.0076
86	2.42	2.38367	2.45542	0.970781	1.01524
87	2.42	2.44799	2.46208	0.994277	0.988565
88	2.43	2.47914	2.4675	1.00472	0.980177
89	2.47	2.5212	2.47458	1.01884	0.979692
90	2.54	2.59066	2.48208	1.04375	0.980444
91	2.55	NA	NA	1.03906	NA
92	2.55	NA	NA	1.02187	NA
93	2.49	NA	NA	0.990109	NA
94	2.54	NA	NA	0.993766	NA
95	2.55	NA	NA	0.989351	NA
96	2.5	NA	NA	0.977481	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 <- '12'
par1 <- 'multiplicative'
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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
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