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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Tue, 10 Dec 2013 07:20:09 -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/2013/Dec/10/t1386678241pxiahf2eguzmwb6.htm/, Retrieved Tue, 23 Apr 2024 18:31:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231887, Retrieved Tue, 23 Apr 2024 18:31:15 +0000

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

-       [Classical Decomposition] [] [2013-12-10 12:20:09] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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1,27
1,26
1,26
1,27
1,27
1,28
1,28
1,28
1,29
1,29
1,29
1,29
1,3
1,31
1,31
1,32
1,32
1,32
1,32
1,32
1,32
1,33
1,32
1,33
1,34
1,35
1,35
1,35
1,35
1,35
1,35
1,35
1,36
1,35
1,36
1,36
1,37
1,38
1,38
1,38
1,39
1,39
1,39
1,39
1,39
1,4
1,39
1,39
1,4
1,4
1,4
1,41
1,41
1,42
1,42
1,43
1,43
1,44
1,43
1,43
1,43
1,44
1,44
1,44
1,43
1,44
1,45
1,45
1,48
1,49
1,49
1,51
1,52
1,53
1,53
1,54
1,54
1,54
1,57
1,59
1,58
1,6
1,62
1,62

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231887&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231887&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231887&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	1.27	NA	NA	1.00108	NA
2	1.26	NA	NA	1.00415	NA
3	1.26	NA	NA	1.00123	NA
4	1.27	NA	NA	1.00186	NA
5	1.27	NA	NA	0.99883	NA
6	1.28	NA	NA	0.998006	NA
7	1.28	1.27788	1.27875	0.999317	1.00166
8	1.28	1.27938	1.28208	0.997891	1.00048
9	1.29	1.28768	1.28625	1.00111	1.0018
10	1.29	1.29291	1.29042	1.00194	0.997746
11	1.29	1.29053	1.29458	0.996868	0.999591
12	1.29	1.29539	1.29833	0.997732	0.99584
13	1.3	1.30307	1.30167	1.00108	0.997645
14	1.31	1.31041	1.305	1.00415	0.999686
15	1.31	1.30952	1.30792	1.00123	1.00037
16	1.32	1.31327	1.31083	1.00186	1.00513
17	1.32	1.31221	1.31375	0.99883	1.00593
18	1.32	1.31404	1.31667	0.998006	1.00453
19	1.32	1.3191	1.32	0.999317	1.00068
20	1.32	1.32054	1.32333	0.997891	0.999589
21	1.32	1.32814	1.32667	1.00111	0.993868
22	1.33	1.33216	1.32958	1.00194	0.998381
23	1.32	1.32791	1.33208	0.996868	0.994043
24	1.33	1.33156	1.33458	0.997732	0.998831
25	1.34	1.33852	1.33708	1.00108	1.0011
26	1.35	1.34514	1.33958	1.00415	1.00361
27	1.35	1.34415	1.3425	1.00123	1.00436
28	1.35	1.3475	1.345	1.00186	1.00186
29	1.35	1.34592	1.3475	0.99883	1.00303
30	1.35	1.34772	1.35042	0.998006	1.00169
31	1.35	1.35199	1.35292	0.999317	0.998526
32	1.35	1.35256	1.35542	0.997891	0.998109
33	1.36	1.35943	1.35792	1.00111	1.00042
34	1.35	1.36305	1.36042	1.00194	0.990426
35	1.36	1.35906	1.36333	0.996868	1.00069
36	1.36	1.36357	1.36667	0.997732	0.997384
37	1.37	1.37148	1.37	1.00108	0.998924
38	1.38	1.37903	1.37333	1.00415	1.0007
39	1.38	1.37794	1.37625	1.00123	1.0015
40	1.38	1.38214	1.37958	1.00186	0.998449
41	1.39	1.3813	1.38292	0.99883	1.0063
42	1.39	1.38265	1.38542	0.998006	1.00531
43	1.39	1.38697	1.38792	0.999317	1.00219
44	1.39	1.38707	1.39	0.997891	1.00211
45	1.39	1.39322	1.39167	1.00111	0.997692
46	1.4	1.39645	1.39375	1.00194	1.00254
47	1.39	1.39146	1.39583	0.996868	0.99895
48	1.39	1.39475	1.39792	0.997732	0.996597
49	1.4	1.40193	1.40042	1.00108	0.998626
50	1.4	1.40915	1.40333	1.00415	0.993505
51	1.4	1.40839	1.40667	1.00123	0.994042
52	1.41	1.41262	1.41	1.00186	0.998147
53	1.41	1.41168	1.41333	0.99883	0.99881
54	1.42	1.41384	1.41667	0.998006	1.00436
55	1.42	1.41861	1.41958	0.999317	1.00098
56	1.43	1.4195	1.4225	0.997891	1.0074
57	1.43	1.42742	1.42583	1.00111	1.00181
58	1.44	1.43152	1.42875	1.00194	1.00593
59	1.43	1.42635	1.43083	0.996868	1.00256
60	1.43	1.42925	1.4325	0.997732	1.00052
61	1.43	1.43613	1.43458	1.00108	0.995732
62	1.44	1.44262	1.43667	1.00415	0.998181
63	1.44	1.44135	1.43958	1.00123	0.999065
64	1.44	1.44643	1.44375	1.00186	0.995555
65	1.43	1.44664	1.44833	0.99883	0.988498
66	1.44	1.45127	1.45417	0.998006	0.992236
67	1.45	1.46025	1.46125	0.999317	0.992979
68	1.45	1.46565	1.46875	0.997891	0.98932
69	1.48	1.47789	1.47625	1.00111	1.00143
70	1.49	1.48704	1.48417	1.00194	1.00199
71	1.49	1.48824	1.49292	0.996868	1.00118
72	1.51	1.49826	1.50167	0.997732	1.00784
73	1.52	1.51246	1.51083	1.00108	1.00498
74	1.53	1.52798	1.52167	1.00415	1.00132
75	1.53	1.53354	1.53167	1.00123	0.997689
76	1.54	1.54328	1.54042	1.00186	0.997877
77	1.54	1.5486	1.55042	0.99883	0.994444
78	1.54	1.55731	1.56042	0.998006	0.988887
79	1.57	NA	NA	0.999317	NA
80	1.59	NA	NA	0.997891	NA
81	1.58	NA	NA	1.00111	NA
82	1.6	NA	NA	1.00194	NA
83	1.62	NA	NA	0.996868	NA
84	1.62	NA	NA	0.997732	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 1.27 & NA & NA & 1.00108 & NA \tabularnewline
2 & 1.26 & NA & NA & 1.00415 & NA \tabularnewline
3 & 1.26 & NA & NA & 1.00123 & NA \tabularnewline
4 & 1.27 & NA & NA & 1.00186 & NA \tabularnewline
5 & 1.27 & NA & NA & 0.99883 & NA \tabularnewline
6 & 1.28 & NA & NA & 0.998006 & NA \tabularnewline
7 & 1.28 & 1.27788 & 1.27875 & 0.999317 & 1.00166 \tabularnewline
8 & 1.28 & 1.27938 & 1.28208 & 0.997891 & 1.00048 \tabularnewline
9 & 1.29 & 1.28768 & 1.28625 & 1.00111 & 1.0018 \tabularnewline
10 & 1.29 & 1.29291 & 1.29042 & 1.00194 & 0.997746 \tabularnewline
11 & 1.29 & 1.29053 & 1.29458 & 0.996868 & 0.999591 \tabularnewline
12 & 1.29 & 1.29539 & 1.29833 & 0.997732 & 0.99584 \tabularnewline
13 & 1.3 & 1.30307 & 1.30167 & 1.00108 & 0.997645 \tabularnewline
14 & 1.31 & 1.31041 & 1.305 & 1.00415 & 0.999686 \tabularnewline
15 & 1.31 & 1.30952 & 1.30792 & 1.00123 & 1.00037 \tabularnewline
16 & 1.32 & 1.31327 & 1.31083 & 1.00186 & 1.00513 \tabularnewline
17 & 1.32 & 1.31221 & 1.31375 & 0.99883 & 1.00593 \tabularnewline
18 & 1.32 & 1.31404 & 1.31667 & 0.998006 & 1.00453 \tabularnewline
19 & 1.32 & 1.3191 & 1.32 & 0.999317 & 1.00068 \tabularnewline
20 & 1.32 & 1.32054 & 1.32333 & 0.997891 & 0.999589 \tabularnewline
21 & 1.32 & 1.32814 & 1.32667 & 1.00111 & 0.993868 \tabularnewline
22 & 1.33 & 1.33216 & 1.32958 & 1.00194 & 0.998381 \tabularnewline
23 & 1.32 & 1.32791 & 1.33208 & 0.996868 & 0.994043 \tabularnewline
24 & 1.33 & 1.33156 & 1.33458 & 0.997732 & 0.998831 \tabularnewline
25 & 1.34 & 1.33852 & 1.33708 & 1.00108 & 1.0011 \tabularnewline
26 & 1.35 & 1.34514 & 1.33958 & 1.00415 & 1.00361 \tabularnewline
27 & 1.35 & 1.34415 & 1.3425 & 1.00123 & 1.00436 \tabularnewline
28 & 1.35 & 1.3475 & 1.345 & 1.00186 & 1.00186 \tabularnewline
29 & 1.35 & 1.34592 & 1.3475 & 0.99883 & 1.00303 \tabularnewline
30 & 1.35 & 1.34772 & 1.35042 & 0.998006 & 1.00169 \tabularnewline
31 & 1.35 & 1.35199 & 1.35292 & 0.999317 & 0.998526 \tabularnewline
32 & 1.35 & 1.35256 & 1.35542 & 0.997891 & 0.998109 \tabularnewline
33 & 1.36 & 1.35943 & 1.35792 & 1.00111 & 1.00042 \tabularnewline
34 & 1.35 & 1.36305 & 1.36042 & 1.00194 & 0.990426 \tabularnewline
35 & 1.36 & 1.35906 & 1.36333 & 0.996868 & 1.00069 \tabularnewline
36 & 1.36 & 1.36357 & 1.36667 & 0.997732 & 0.997384 \tabularnewline
37 & 1.37 & 1.37148 & 1.37 & 1.00108 & 0.998924 \tabularnewline
38 & 1.38 & 1.37903 & 1.37333 & 1.00415 & 1.0007 \tabularnewline
39 & 1.38 & 1.37794 & 1.37625 & 1.00123 & 1.0015 \tabularnewline
40 & 1.38 & 1.38214 & 1.37958 & 1.00186 & 0.998449 \tabularnewline
41 & 1.39 & 1.3813 & 1.38292 & 0.99883 & 1.0063 \tabularnewline
42 & 1.39 & 1.38265 & 1.38542 & 0.998006 & 1.00531 \tabularnewline
43 & 1.39 & 1.38697 & 1.38792 & 0.999317 & 1.00219 \tabularnewline
44 & 1.39 & 1.38707 & 1.39 & 0.997891 & 1.00211 \tabularnewline
45 & 1.39 & 1.39322 & 1.39167 & 1.00111 & 0.997692 \tabularnewline
46 & 1.4 & 1.39645 & 1.39375 & 1.00194 & 1.00254 \tabularnewline
47 & 1.39 & 1.39146 & 1.39583 & 0.996868 & 0.99895 \tabularnewline
48 & 1.39 & 1.39475 & 1.39792 & 0.997732 & 0.996597 \tabularnewline
49 & 1.4 & 1.40193 & 1.40042 & 1.00108 & 0.998626 \tabularnewline
50 & 1.4 & 1.40915 & 1.40333 & 1.00415 & 0.993505 \tabularnewline
51 & 1.4 & 1.40839 & 1.40667 & 1.00123 & 0.994042 \tabularnewline
52 & 1.41 & 1.41262 & 1.41 & 1.00186 & 0.998147 \tabularnewline
53 & 1.41 & 1.41168 & 1.41333 & 0.99883 & 0.99881 \tabularnewline
54 & 1.42 & 1.41384 & 1.41667 & 0.998006 & 1.00436 \tabularnewline
55 & 1.42 & 1.41861 & 1.41958 & 0.999317 & 1.00098 \tabularnewline
56 & 1.43 & 1.4195 & 1.4225 & 0.997891 & 1.0074 \tabularnewline
57 & 1.43 & 1.42742 & 1.42583 & 1.00111 & 1.00181 \tabularnewline
58 & 1.44 & 1.43152 & 1.42875 & 1.00194 & 1.00593 \tabularnewline
59 & 1.43 & 1.42635 & 1.43083 & 0.996868 & 1.00256 \tabularnewline
60 & 1.43 & 1.42925 & 1.4325 & 0.997732 & 1.00052 \tabularnewline
61 & 1.43 & 1.43613 & 1.43458 & 1.00108 & 0.995732 \tabularnewline
62 & 1.44 & 1.44262 & 1.43667 & 1.00415 & 0.998181 \tabularnewline
63 & 1.44 & 1.44135 & 1.43958 & 1.00123 & 0.999065 \tabularnewline
64 & 1.44 & 1.44643 & 1.44375 & 1.00186 & 0.995555 \tabularnewline
65 & 1.43 & 1.44664 & 1.44833 & 0.99883 & 0.988498 \tabularnewline
66 & 1.44 & 1.45127 & 1.45417 & 0.998006 & 0.992236 \tabularnewline
67 & 1.45 & 1.46025 & 1.46125 & 0.999317 & 0.992979 \tabularnewline
68 & 1.45 & 1.46565 & 1.46875 & 0.997891 & 0.98932 \tabularnewline
69 & 1.48 & 1.47789 & 1.47625 & 1.00111 & 1.00143 \tabularnewline
70 & 1.49 & 1.48704 & 1.48417 & 1.00194 & 1.00199 \tabularnewline
71 & 1.49 & 1.48824 & 1.49292 & 0.996868 & 1.00118 \tabularnewline
72 & 1.51 & 1.49826 & 1.50167 & 0.997732 & 1.00784 \tabularnewline
73 & 1.52 & 1.51246 & 1.51083 & 1.00108 & 1.00498 \tabularnewline
74 & 1.53 & 1.52798 & 1.52167 & 1.00415 & 1.00132 \tabularnewline
75 & 1.53 & 1.53354 & 1.53167 & 1.00123 & 0.997689 \tabularnewline
76 & 1.54 & 1.54328 & 1.54042 & 1.00186 & 0.997877 \tabularnewline
77 & 1.54 & 1.5486 & 1.55042 & 0.99883 & 0.994444 \tabularnewline
78 & 1.54 & 1.55731 & 1.56042 & 0.998006 & 0.988887 \tabularnewline
79 & 1.57 & NA & NA & 0.999317 & NA \tabularnewline
80 & 1.59 & NA & NA & 0.997891 & NA \tabularnewline
81 & 1.58 & NA & NA & 1.00111 & NA \tabularnewline
82 & 1.6 & NA & NA & 1.00194 & NA \tabularnewline
83 & 1.62 & NA & NA & 0.996868 & NA \tabularnewline
84 & 1.62 & NA & NA & 0.997732 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231887&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]1.27[/C][C]NA[/C][C]NA[/C][C]1.00108[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1.26[/C][C]NA[/C][C]NA[/C][C]1.00415[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]1.26[/C][C]NA[/C][C]NA[/C][C]1.00123[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]1.27[/C][C]NA[/C][C]NA[/C][C]1.00186[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]1.27[/C][C]NA[/C][C]NA[/C][C]0.99883[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]1.28[/C][C]NA[/C][C]NA[/C][C]0.998006[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]1.28[/C][C]1.27788[/C][C]1.27875[/C][C]0.999317[/C][C]1.00166[/C][/ROW]
[ROW][C]8[/C][C]1.28[/C][C]1.27938[/C][C]1.28208[/C][C]0.997891[/C][C]1.00048[/C][/ROW]
[ROW][C]9[/C][C]1.29[/C][C]1.28768[/C][C]1.28625[/C][C]1.00111[/C][C]1.0018[/C][/ROW]
[ROW][C]10[/C][C]1.29[/C][C]1.29291[/C][C]1.29042[/C][C]1.00194[/C][C]0.997746[/C][/ROW]
[ROW][C]11[/C][C]1.29[/C][C]1.29053[/C][C]1.29458[/C][C]0.996868[/C][C]0.999591[/C][/ROW]
[ROW][C]12[/C][C]1.29[/C][C]1.29539[/C][C]1.29833[/C][C]0.997732[/C][C]0.99584[/C][/ROW]
[ROW][C]13[/C][C]1.3[/C][C]1.30307[/C][C]1.30167[/C][C]1.00108[/C][C]0.997645[/C][/ROW]
[ROW][C]14[/C][C]1.31[/C][C]1.31041[/C][C]1.305[/C][C]1.00415[/C][C]0.999686[/C][/ROW]
[ROW][C]15[/C][C]1.31[/C][C]1.30952[/C][C]1.30792[/C][C]1.00123[/C][C]1.00037[/C][/ROW]
[ROW][C]16[/C][C]1.32[/C][C]1.31327[/C][C]1.31083[/C][C]1.00186[/C][C]1.00513[/C][/ROW]
[ROW][C]17[/C][C]1.32[/C][C]1.31221[/C][C]1.31375[/C][C]0.99883[/C][C]1.00593[/C][/ROW]
[ROW][C]18[/C][C]1.32[/C][C]1.31404[/C][C]1.31667[/C][C]0.998006[/C][C]1.00453[/C][/ROW]
[ROW][C]19[/C][C]1.32[/C][C]1.3191[/C][C]1.32[/C][C]0.999317[/C][C]1.00068[/C][/ROW]
[ROW][C]20[/C][C]1.32[/C][C]1.32054[/C][C]1.32333[/C][C]0.997891[/C][C]0.999589[/C][/ROW]
[ROW][C]21[/C][C]1.32[/C][C]1.32814[/C][C]1.32667[/C][C]1.00111[/C][C]0.993868[/C][/ROW]
[ROW][C]22[/C][C]1.33[/C][C]1.33216[/C][C]1.32958[/C][C]1.00194[/C][C]0.998381[/C][/ROW]
[ROW][C]23[/C][C]1.32[/C][C]1.32791[/C][C]1.33208[/C][C]0.996868[/C][C]0.994043[/C][/ROW]
[ROW][C]24[/C][C]1.33[/C][C]1.33156[/C][C]1.33458[/C][C]0.997732[/C][C]0.998831[/C][/ROW]
[ROW][C]25[/C][C]1.34[/C][C]1.33852[/C][C]1.33708[/C][C]1.00108[/C][C]1.0011[/C][/ROW]
[ROW][C]26[/C][C]1.35[/C][C]1.34514[/C][C]1.33958[/C][C]1.00415[/C][C]1.00361[/C][/ROW]
[ROW][C]27[/C][C]1.35[/C][C]1.34415[/C][C]1.3425[/C][C]1.00123[/C][C]1.00436[/C][/ROW]
[ROW][C]28[/C][C]1.35[/C][C]1.3475[/C][C]1.345[/C][C]1.00186[/C][C]1.00186[/C][/ROW]
[ROW][C]29[/C][C]1.35[/C][C]1.34592[/C][C]1.3475[/C][C]0.99883[/C][C]1.00303[/C][/ROW]
[ROW][C]30[/C][C]1.35[/C][C]1.34772[/C][C]1.35042[/C][C]0.998006[/C][C]1.00169[/C][/ROW]
[ROW][C]31[/C][C]1.35[/C][C]1.35199[/C][C]1.35292[/C][C]0.999317[/C][C]0.998526[/C][/ROW]
[ROW][C]32[/C][C]1.35[/C][C]1.35256[/C][C]1.35542[/C][C]0.997891[/C][C]0.998109[/C][/ROW]
[ROW][C]33[/C][C]1.36[/C][C]1.35943[/C][C]1.35792[/C][C]1.00111[/C][C]1.00042[/C][/ROW]
[ROW][C]34[/C][C]1.35[/C][C]1.36305[/C][C]1.36042[/C][C]1.00194[/C][C]0.990426[/C][/ROW]
[ROW][C]35[/C][C]1.36[/C][C]1.35906[/C][C]1.36333[/C][C]0.996868[/C][C]1.00069[/C][/ROW]
[ROW][C]36[/C][C]1.36[/C][C]1.36357[/C][C]1.36667[/C][C]0.997732[/C][C]0.997384[/C][/ROW]
[ROW][C]37[/C][C]1.37[/C][C]1.37148[/C][C]1.37[/C][C]1.00108[/C][C]0.998924[/C][/ROW]
[ROW][C]38[/C][C]1.38[/C][C]1.37903[/C][C]1.37333[/C][C]1.00415[/C][C]1.0007[/C][/ROW]
[ROW][C]39[/C][C]1.38[/C][C]1.37794[/C][C]1.37625[/C][C]1.00123[/C][C]1.0015[/C][/ROW]
[ROW][C]40[/C][C]1.38[/C][C]1.38214[/C][C]1.37958[/C][C]1.00186[/C][C]0.998449[/C][/ROW]
[ROW][C]41[/C][C]1.39[/C][C]1.3813[/C][C]1.38292[/C][C]0.99883[/C][C]1.0063[/C][/ROW]
[ROW][C]42[/C][C]1.39[/C][C]1.38265[/C][C]1.38542[/C][C]0.998006[/C][C]1.00531[/C][/ROW]
[ROW][C]43[/C][C]1.39[/C][C]1.38697[/C][C]1.38792[/C][C]0.999317[/C][C]1.00219[/C][/ROW]
[ROW][C]44[/C][C]1.39[/C][C]1.38707[/C][C]1.39[/C][C]0.997891[/C][C]1.00211[/C][/ROW]
[ROW][C]45[/C][C]1.39[/C][C]1.39322[/C][C]1.39167[/C][C]1.00111[/C][C]0.997692[/C][/ROW]
[ROW][C]46[/C][C]1.4[/C][C]1.39645[/C][C]1.39375[/C][C]1.00194[/C][C]1.00254[/C][/ROW]
[ROW][C]47[/C][C]1.39[/C][C]1.39146[/C][C]1.39583[/C][C]0.996868[/C][C]0.99895[/C][/ROW]
[ROW][C]48[/C][C]1.39[/C][C]1.39475[/C][C]1.39792[/C][C]0.997732[/C][C]0.996597[/C][/ROW]
[ROW][C]49[/C][C]1.4[/C][C]1.40193[/C][C]1.40042[/C][C]1.00108[/C][C]0.998626[/C][/ROW]
[ROW][C]50[/C][C]1.4[/C][C]1.40915[/C][C]1.40333[/C][C]1.00415[/C][C]0.993505[/C][/ROW]
[ROW][C]51[/C][C]1.4[/C][C]1.40839[/C][C]1.40667[/C][C]1.00123[/C][C]0.994042[/C][/ROW]
[ROW][C]52[/C][C]1.41[/C][C]1.41262[/C][C]1.41[/C][C]1.00186[/C][C]0.998147[/C][/ROW]
[ROW][C]53[/C][C]1.41[/C][C]1.41168[/C][C]1.41333[/C][C]0.99883[/C][C]0.99881[/C][/ROW]
[ROW][C]54[/C][C]1.42[/C][C]1.41384[/C][C]1.41667[/C][C]0.998006[/C][C]1.00436[/C][/ROW]
[ROW][C]55[/C][C]1.42[/C][C]1.41861[/C][C]1.41958[/C][C]0.999317[/C][C]1.00098[/C][/ROW]
[ROW][C]56[/C][C]1.43[/C][C]1.4195[/C][C]1.4225[/C][C]0.997891[/C][C]1.0074[/C][/ROW]
[ROW][C]57[/C][C]1.43[/C][C]1.42742[/C][C]1.42583[/C][C]1.00111[/C][C]1.00181[/C][/ROW]
[ROW][C]58[/C][C]1.44[/C][C]1.43152[/C][C]1.42875[/C][C]1.00194[/C][C]1.00593[/C][/ROW]
[ROW][C]59[/C][C]1.43[/C][C]1.42635[/C][C]1.43083[/C][C]0.996868[/C][C]1.00256[/C][/ROW]
[ROW][C]60[/C][C]1.43[/C][C]1.42925[/C][C]1.4325[/C][C]0.997732[/C][C]1.00052[/C][/ROW]
[ROW][C]61[/C][C]1.43[/C][C]1.43613[/C][C]1.43458[/C][C]1.00108[/C][C]0.995732[/C][/ROW]
[ROW][C]62[/C][C]1.44[/C][C]1.44262[/C][C]1.43667[/C][C]1.00415[/C][C]0.998181[/C][/ROW]
[ROW][C]63[/C][C]1.44[/C][C]1.44135[/C][C]1.43958[/C][C]1.00123[/C][C]0.999065[/C][/ROW]
[ROW][C]64[/C][C]1.44[/C][C]1.44643[/C][C]1.44375[/C][C]1.00186[/C][C]0.995555[/C][/ROW]
[ROW][C]65[/C][C]1.43[/C][C]1.44664[/C][C]1.44833[/C][C]0.99883[/C][C]0.988498[/C][/ROW]
[ROW][C]66[/C][C]1.44[/C][C]1.45127[/C][C]1.45417[/C][C]0.998006[/C][C]0.992236[/C][/ROW]
[ROW][C]67[/C][C]1.45[/C][C]1.46025[/C][C]1.46125[/C][C]0.999317[/C][C]0.992979[/C][/ROW]
[ROW][C]68[/C][C]1.45[/C][C]1.46565[/C][C]1.46875[/C][C]0.997891[/C][C]0.98932[/C][/ROW]
[ROW][C]69[/C][C]1.48[/C][C]1.47789[/C][C]1.47625[/C][C]1.00111[/C][C]1.00143[/C][/ROW]
[ROW][C]70[/C][C]1.49[/C][C]1.48704[/C][C]1.48417[/C][C]1.00194[/C][C]1.00199[/C][/ROW]
[ROW][C]71[/C][C]1.49[/C][C]1.48824[/C][C]1.49292[/C][C]0.996868[/C][C]1.00118[/C][/ROW]
[ROW][C]72[/C][C]1.51[/C][C]1.49826[/C][C]1.50167[/C][C]0.997732[/C][C]1.00784[/C][/ROW]
[ROW][C]73[/C][C]1.52[/C][C]1.51246[/C][C]1.51083[/C][C]1.00108[/C][C]1.00498[/C][/ROW]
[ROW][C]74[/C][C]1.53[/C][C]1.52798[/C][C]1.52167[/C][C]1.00415[/C][C]1.00132[/C][/ROW]
[ROW][C]75[/C][C]1.53[/C][C]1.53354[/C][C]1.53167[/C][C]1.00123[/C][C]0.997689[/C][/ROW]
[ROW][C]76[/C][C]1.54[/C][C]1.54328[/C][C]1.54042[/C][C]1.00186[/C][C]0.997877[/C][/ROW]
[ROW][C]77[/C][C]1.54[/C][C]1.5486[/C][C]1.55042[/C][C]0.99883[/C][C]0.994444[/C][/ROW]
[ROW][C]78[/C][C]1.54[/C][C]1.55731[/C][C]1.56042[/C][C]0.998006[/C][C]0.988887[/C][/ROW]
[ROW][C]79[/C][C]1.57[/C][C]NA[/C][C]NA[/C][C]0.999317[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]1.59[/C][C]NA[/C][C]NA[/C][C]0.997891[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]1.58[/C][C]NA[/C][C]NA[/C][C]1.00111[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]1.6[/C][C]NA[/C][C]NA[/C][C]1.00194[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]1.62[/C][C]NA[/C][C]NA[/C][C]0.996868[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]1.62[/C][C]NA[/C][C]NA[/C][C]0.997732[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231887&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231887&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	1.27	NA	NA	1.00108	NA
2	1.26	NA	NA	1.00415	NA
3	1.26	NA	NA	1.00123	NA
4	1.27	NA	NA	1.00186	NA
5	1.27	NA	NA	0.99883	NA
6	1.28	NA	NA	0.998006	NA
7	1.28	1.27788	1.27875	0.999317	1.00166
8	1.28	1.27938	1.28208	0.997891	1.00048
9	1.29	1.28768	1.28625	1.00111	1.0018
10	1.29	1.29291	1.29042	1.00194	0.997746
11	1.29	1.29053	1.29458	0.996868	0.999591
12	1.29	1.29539	1.29833	0.997732	0.99584
13	1.3	1.30307	1.30167	1.00108	0.997645
14	1.31	1.31041	1.305	1.00415	0.999686
15	1.31	1.30952	1.30792	1.00123	1.00037
16	1.32	1.31327	1.31083	1.00186	1.00513
17	1.32	1.31221	1.31375	0.99883	1.00593
18	1.32	1.31404	1.31667	0.998006	1.00453
19	1.32	1.3191	1.32	0.999317	1.00068
20	1.32	1.32054	1.32333	0.997891	0.999589
21	1.32	1.32814	1.32667	1.00111	0.993868
22	1.33	1.33216	1.32958	1.00194	0.998381
23	1.32	1.32791	1.33208	0.996868	0.994043
24	1.33	1.33156	1.33458	0.997732	0.998831
25	1.34	1.33852	1.33708	1.00108	1.0011
26	1.35	1.34514	1.33958	1.00415	1.00361
27	1.35	1.34415	1.3425	1.00123	1.00436
28	1.35	1.3475	1.345	1.00186	1.00186
29	1.35	1.34592	1.3475	0.99883	1.00303
30	1.35	1.34772	1.35042	0.998006	1.00169
31	1.35	1.35199	1.35292	0.999317	0.998526
32	1.35	1.35256	1.35542	0.997891	0.998109
33	1.36	1.35943	1.35792	1.00111	1.00042
34	1.35	1.36305	1.36042	1.00194	0.990426
35	1.36	1.35906	1.36333	0.996868	1.00069
36	1.36	1.36357	1.36667	0.997732	0.997384
37	1.37	1.37148	1.37	1.00108	0.998924
38	1.38	1.37903	1.37333	1.00415	1.0007
39	1.38	1.37794	1.37625	1.00123	1.0015
40	1.38	1.38214	1.37958	1.00186	0.998449
41	1.39	1.3813	1.38292	0.99883	1.0063
42	1.39	1.38265	1.38542	0.998006	1.00531
43	1.39	1.38697	1.38792	0.999317	1.00219
44	1.39	1.38707	1.39	0.997891	1.00211
45	1.39	1.39322	1.39167	1.00111	0.997692
46	1.4	1.39645	1.39375	1.00194	1.00254
47	1.39	1.39146	1.39583	0.996868	0.99895
48	1.39	1.39475	1.39792	0.997732	0.996597
49	1.4	1.40193	1.40042	1.00108	0.998626
50	1.4	1.40915	1.40333	1.00415	0.993505
51	1.4	1.40839	1.40667	1.00123	0.994042
52	1.41	1.41262	1.41	1.00186	0.998147
53	1.41	1.41168	1.41333	0.99883	0.99881
54	1.42	1.41384	1.41667	0.998006	1.00436
55	1.42	1.41861	1.41958	0.999317	1.00098
56	1.43	1.4195	1.4225	0.997891	1.0074
57	1.43	1.42742	1.42583	1.00111	1.00181
58	1.44	1.43152	1.42875	1.00194	1.00593
59	1.43	1.42635	1.43083	0.996868	1.00256
60	1.43	1.42925	1.4325	0.997732	1.00052
61	1.43	1.43613	1.43458	1.00108	0.995732
62	1.44	1.44262	1.43667	1.00415	0.998181
63	1.44	1.44135	1.43958	1.00123	0.999065
64	1.44	1.44643	1.44375	1.00186	0.995555
65	1.43	1.44664	1.44833	0.99883	0.988498
66	1.44	1.45127	1.45417	0.998006	0.992236
67	1.45	1.46025	1.46125	0.999317	0.992979
68	1.45	1.46565	1.46875	0.997891	0.98932
69	1.48	1.47789	1.47625	1.00111	1.00143
70	1.49	1.48704	1.48417	1.00194	1.00199
71	1.49	1.48824	1.49292	0.996868	1.00118
72	1.51	1.49826	1.50167	0.997732	1.00784
73	1.52	1.51246	1.51083	1.00108	1.00498
74	1.53	1.52798	1.52167	1.00415	1.00132
75	1.53	1.53354	1.53167	1.00123	0.997689
76	1.54	1.54328	1.54042	1.00186	0.997877
77	1.54	1.5486	1.55042	0.99883	0.994444
78	1.54	1.55731	1.56042	0.998006	0.988887
79	1.57	NA	NA	0.999317	NA
80	1.59	NA	NA	0.997891	NA
81	1.58	NA	NA	1.00111	NA
82	1.6	NA	NA	1.00194	NA
83	1.62	NA	NA	0.996868	NA
84	1.62	NA	NA	0.997732	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