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*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sat, 03 Jan 2015 10:25:23 +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/2015/Jan/03/t1420280767v1e2ygcabfisvg1.htm/, Retrieved Tue, 14 May 2024 13:08:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271885, Retrieved Tue, 14 May 2024 13:08:21 +0000

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IsPrivate?

No (this computation is public)

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Estimated Impact

121

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

-       [Classical Decomposition] [Decompositie van ...] [2015-01-03 10:25:23] [5cb566f42d00ad61092156d0d2251413] [Current]

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Dataseries X:

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Boxplots

1,8
1,8
1,81
1,81
1,81
1,81
1,81
1,81
1,82
1,82
1,81
1,8
1,8
1,81
1,81
1,81
1,81
1,81
1,81
1,82
1,82
1,82
1,83
1,83
1,83
1,84
1,85
1,86
1,86
1,87
1,87
1,86
1,88
1,89
1,91
1,91
1,91
1,91
1,92
1,93
1,93
1,94
1,94
1,95
1,95
1,96
1,97
1,97
1,97
1,97
1,98
1,98
1,99
1,99
1,99
2
2
2,01
2,01
2,02
2,01
2,01
2,03
2,03
2,04
2,05
2,05
2,06
2,06
2,06
2,04
2,04
2,04
2,03
2,03
2,03
2,03
2,03
2,03
2,03
2,03
2,03
2,02
2,03
2,03
2,02
2,03
2,04
2,05
2,05
2,05
2,05
2,07
2,07
2,08
2,08

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=271885&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=271885&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271885&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	1.8	NA	NA	-0.00416171	NA
2	1.8	NA	NA	-0.00701885	NA
3	1.81	NA	NA	-0.00136409	NA
4	1.81	NA	NA	-5.45635e-05	NA
5	1.81	NA	NA	0.00113591	NA
6	1.81	NA	NA	0.00214782	NA
7	1.81	1.80864	1.80917	-0.000530754	0.00136409
8	1.81	1.81066	1.80958	0.00107639	-0.000659722
9	1.82	1.81274	1.81	0.00274306	0.00725694
10	1.82	1.81435	1.81	0.0043502	0.0056498
11	1.81	1.81155	1.81	0.00155258	-0.00155258
12	1.8	1.81012	1.81	0.000124008	-0.010124
13	1.8	1.80584	1.81	-0.00416171	-0.00583829
14	1.81	1.8034	1.81042	-0.00701885	0.00660218
15	1.81	1.80947	1.81083	-0.00136409	0.000530754
16	1.81	1.81078	1.81083	-5.45635e-05	-0.00077877
17	1.81	1.8128	1.81167	0.00113591	-0.00280258
18	1.81	1.8159	1.81375	0.00214782	-0.00589782
19	1.81	1.81572	1.81625	-0.000530754	-0.00571925
20	1.82	1.81983	1.81875	0.00107639	0.000173611
21	1.82	1.82441	1.82167	0.00274306	-0.00440972
22	1.82	1.82977	1.82542	0.0043502	-0.00976687
23	1.83	1.83114	1.82958	0.00155258	-0.00113591
24	1.83	1.83429	1.83417	0.000124008	-0.00429067
25	1.83	1.835	1.83917	-0.00416171	-0.00500496
26	1.84	1.83631	1.84333	-0.00701885	0.00368552
27	1.85	1.84614	1.8475	-0.00136409	0.00386409
28	1.86	1.85286	1.85292	-5.45635e-05	0.0071379
29	1.86	1.8603	1.85917	0.00113591	-0.000302579
30	1.87	1.86798	1.86583	0.00214782	0.00201885
31	1.87	1.87197	1.8725	-0.000530754	-0.00196925
32	1.86	1.87983	1.87875	0.00107639	-0.0198264
33	1.88	1.88733	1.88458	0.00274306	-0.00732639
34	1.89	1.89477	1.89042	0.0043502	-0.00476687
35	1.91	1.8978	1.89625	0.00155258	0.0121974
36	1.91	1.90221	1.90208	0.000124008	0.00779266
37	1.91	1.90375	1.90792	-0.00416171	0.00624504
38	1.91	1.90756	1.91458	-0.00701885	0.00243552
39	1.92	1.91989	1.92125	-0.00136409	0.000114087
40	1.93	1.92703	1.92708	-5.45635e-05	0.00297123
41	1.93	1.93364	1.9325	0.00113591	-0.00363591
42	1.94	1.93965	1.9375	0.00214782	0.000352183
43	1.94	1.94197	1.9425	-0.000530754	-0.00196925
44	1.95	1.94858	1.9475	0.00107639	0.00142361
45	1.95	1.95524	1.9525	0.00274306	-0.00524306
46	1.96	1.96143	1.95708	0.0043502	-0.00143353
47	1.97	1.96322	1.96167	0.00155258	0.00678075
48	1.97	1.96637	1.96625	0.000124008	0.00362599
49	1.97	1.96625	1.97042	-0.00416171	0.00374504
50	1.97	1.96756	1.97458	-0.00701885	0.00243552
51	1.98	1.97739	1.97875	-0.00136409	0.00261409
52	1.98	1.98286	1.98292	-5.45635e-05	-0.0028621
53	1.99	1.9878	1.98667	0.00113591	0.00219742
54	1.99	1.99256	1.99042	0.00214782	-0.00256448
55	1.99	1.99364	1.99417	-0.000530754	-0.00363591
56	2	1.99858	1.9975	0.00107639	0.00142361
57	2	2.00399	2.00125	0.00274306	-0.00399306
58	2.01	2.00977	2.00542	0.0043502	0.000233135
59	2.01	2.01114	2.00958	0.00155258	-0.00113591
60	2.02	2.01429	2.01417	0.000124008	0.00570933
61	2.01	2.015	2.01917	-0.00416171	-0.00500496
62	2.01	2.01715	2.02417	-0.00701885	-0.00714782
63	2.03	2.0278	2.02917	-0.00136409	0.00219742
64	2.03	2.0337	2.03375	-5.45635e-05	-0.00369544
65	2.04	2.03822	2.03708	0.00113591	0.00178075
66	2.05	2.04131	2.03917	0.00214782	0.00868552
67	2.05	2.04072	2.04125	-0.000530754	0.00928075
68	2.06	2.04441	2.04333	0.00107639	0.0155903
69	2.06	2.04691	2.04417	0.00274306	0.0130903
70	2.06	2.04852	2.04417	0.0043502	0.0114831
71	2.04	2.0453	2.04375	0.00155258	-0.00530258
72	2.04	2.04262	2.0425	0.000124008	-0.00262401
73	2.04	2.03667	2.04083	-0.00416171	0.00332837
74	2.03	2.03173	2.03875	-0.00701885	-0.00173115
75	2.03	2.03489	2.03625	-0.00136409	-0.00488591
76	2.03	2.0337	2.03375	-5.45635e-05	-0.00369544
77	2.03	2.0328	2.03167	0.00113591	-0.00280258
78	2.03	2.03256	2.03042	0.00214782	-0.00256448
79	2.03	2.02905	2.02958	-0.000530754	0.000947421
80	2.03	2.02983	2.02875	0.00107639	0.000173611
81	2.03	2.03108	2.02833	0.00274306	-0.00107639
82	2.03	2.0331	2.02875	0.0043502	-0.0031002
83	2.02	2.03155	2.03	0.00155258	-0.0115526
84	2.03	2.03179	2.03167	0.000124008	-0.00179067
85	2.03	2.02917	2.03333	-0.00416171	0.000828373
86	2.02	2.02798	2.035	-0.00701885	-0.00798115
87	2.03	2.03614	2.0375	-0.00136409	-0.00613591
88	2.04	2.04078	2.04083	-5.45635e-05	-0.00077877
89	2.05	2.04614	2.045	0.00113591	0.00386409
90	2.05	2.05173	2.04958	0.00214782	-0.00173115
91	2.05	NA	NA	-0.000530754	NA
92	2.05	NA	NA	0.00107639	NA
93	2.07	NA	NA	0.00274306	NA
94	2.07	NA	NA	0.0043502	NA
95	2.08	NA	NA	0.00155258	NA
96	2.08	NA	NA	0.000124008	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 1.8 & NA & NA & -0.00416171 & NA \tabularnewline
2 & 1.8 & NA & NA & -0.00701885 & NA \tabularnewline
3 & 1.81 & NA & NA & -0.00136409 & NA \tabularnewline
4 & 1.81 & NA & NA & -5.45635e-05 & NA \tabularnewline
5 & 1.81 & NA & NA & 0.00113591 & NA \tabularnewline
6 & 1.81 & NA & NA & 0.00214782 & NA \tabularnewline
7 & 1.81 & 1.80864 & 1.80917 & -0.000530754 & 0.00136409 \tabularnewline
8 & 1.81 & 1.81066 & 1.80958 & 0.00107639 & -0.000659722 \tabularnewline
9 & 1.82 & 1.81274 & 1.81 & 0.00274306 & 0.00725694 \tabularnewline
10 & 1.82 & 1.81435 & 1.81 & 0.0043502 & 0.0056498 \tabularnewline
11 & 1.81 & 1.81155 & 1.81 & 0.00155258 & -0.00155258 \tabularnewline
12 & 1.8 & 1.81012 & 1.81 & 0.000124008 & -0.010124 \tabularnewline
13 & 1.8 & 1.80584 & 1.81 & -0.00416171 & -0.00583829 \tabularnewline
14 & 1.81 & 1.8034 & 1.81042 & -0.00701885 & 0.00660218 \tabularnewline
15 & 1.81 & 1.80947 & 1.81083 & -0.00136409 & 0.000530754 \tabularnewline
16 & 1.81 & 1.81078 & 1.81083 & -5.45635e-05 & -0.00077877 \tabularnewline
17 & 1.81 & 1.8128 & 1.81167 & 0.00113591 & -0.00280258 \tabularnewline
18 & 1.81 & 1.8159 & 1.81375 & 0.00214782 & -0.00589782 \tabularnewline
19 & 1.81 & 1.81572 & 1.81625 & -0.000530754 & -0.00571925 \tabularnewline
20 & 1.82 & 1.81983 & 1.81875 & 0.00107639 & 0.000173611 \tabularnewline
21 & 1.82 & 1.82441 & 1.82167 & 0.00274306 & -0.00440972 \tabularnewline
22 & 1.82 & 1.82977 & 1.82542 & 0.0043502 & -0.00976687 \tabularnewline
23 & 1.83 & 1.83114 & 1.82958 & 0.00155258 & -0.00113591 \tabularnewline
24 & 1.83 & 1.83429 & 1.83417 & 0.000124008 & -0.00429067 \tabularnewline
25 & 1.83 & 1.835 & 1.83917 & -0.00416171 & -0.00500496 \tabularnewline
26 & 1.84 & 1.83631 & 1.84333 & -0.00701885 & 0.00368552 \tabularnewline
27 & 1.85 & 1.84614 & 1.8475 & -0.00136409 & 0.00386409 \tabularnewline
28 & 1.86 & 1.85286 & 1.85292 & -5.45635e-05 & 0.0071379 \tabularnewline
29 & 1.86 & 1.8603 & 1.85917 & 0.00113591 & -0.000302579 \tabularnewline
30 & 1.87 & 1.86798 & 1.86583 & 0.00214782 & 0.00201885 \tabularnewline
31 & 1.87 & 1.87197 & 1.8725 & -0.000530754 & -0.00196925 \tabularnewline
32 & 1.86 & 1.87983 & 1.87875 & 0.00107639 & -0.0198264 \tabularnewline
33 & 1.88 & 1.88733 & 1.88458 & 0.00274306 & -0.00732639 \tabularnewline
34 & 1.89 & 1.89477 & 1.89042 & 0.0043502 & -0.00476687 \tabularnewline
35 & 1.91 & 1.8978 & 1.89625 & 0.00155258 & 0.0121974 \tabularnewline
36 & 1.91 & 1.90221 & 1.90208 & 0.000124008 & 0.00779266 \tabularnewline
37 & 1.91 & 1.90375 & 1.90792 & -0.00416171 & 0.00624504 \tabularnewline
38 & 1.91 & 1.90756 & 1.91458 & -0.00701885 & 0.00243552 \tabularnewline
39 & 1.92 & 1.91989 & 1.92125 & -0.00136409 & 0.000114087 \tabularnewline
40 & 1.93 & 1.92703 & 1.92708 & -5.45635e-05 & 0.00297123 \tabularnewline
41 & 1.93 & 1.93364 & 1.9325 & 0.00113591 & -0.00363591 \tabularnewline
42 & 1.94 & 1.93965 & 1.9375 & 0.00214782 & 0.000352183 \tabularnewline
43 & 1.94 & 1.94197 & 1.9425 & -0.000530754 & -0.00196925 \tabularnewline
44 & 1.95 & 1.94858 & 1.9475 & 0.00107639 & 0.00142361 \tabularnewline
45 & 1.95 & 1.95524 & 1.9525 & 0.00274306 & -0.00524306 \tabularnewline
46 & 1.96 & 1.96143 & 1.95708 & 0.0043502 & -0.00143353 \tabularnewline
47 & 1.97 & 1.96322 & 1.96167 & 0.00155258 & 0.00678075 \tabularnewline
48 & 1.97 & 1.96637 & 1.96625 & 0.000124008 & 0.00362599 \tabularnewline
49 & 1.97 & 1.96625 & 1.97042 & -0.00416171 & 0.00374504 \tabularnewline
50 & 1.97 & 1.96756 & 1.97458 & -0.00701885 & 0.00243552 \tabularnewline
51 & 1.98 & 1.97739 & 1.97875 & -0.00136409 & 0.00261409 \tabularnewline
52 & 1.98 & 1.98286 & 1.98292 & -5.45635e-05 & -0.0028621 \tabularnewline
53 & 1.99 & 1.9878 & 1.98667 & 0.00113591 & 0.00219742 \tabularnewline
54 & 1.99 & 1.99256 & 1.99042 & 0.00214782 & -0.00256448 \tabularnewline
55 & 1.99 & 1.99364 & 1.99417 & -0.000530754 & -0.00363591 \tabularnewline
56 & 2 & 1.99858 & 1.9975 & 0.00107639 & 0.00142361 \tabularnewline
57 & 2 & 2.00399 & 2.00125 & 0.00274306 & -0.00399306 \tabularnewline
58 & 2.01 & 2.00977 & 2.00542 & 0.0043502 & 0.000233135 \tabularnewline
59 & 2.01 & 2.01114 & 2.00958 & 0.00155258 & -0.00113591 \tabularnewline
60 & 2.02 & 2.01429 & 2.01417 & 0.000124008 & 0.00570933 \tabularnewline
61 & 2.01 & 2.015 & 2.01917 & -0.00416171 & -0.00500496 \tabularnewline
62 & 2.01 & 2.01715 & 2.02417 & -0.00701885 & -0.00714782 \tabularnewline
63 & 2.03 & 2.0278 & 2.02917 & -0.00136409 & 0.00219742 \tabularnewline
64 & 2.03 & 2.0337 & 2.03375 & -5.45635e-05 & -0.00369544 \tabularnewline
65 & 2.04 & 2.03822 & 2.03708 & 0.00113591 & 0.00178075 \tabularnewline
66 & 2.05 & 2.04131 & 2.03917 & 0.00214782 & 0.00868552 \tabularnewline
67 & 2.05 & 2.04072 & 2.04125 & -0.000530754 & 0.00928075 \tabularnewline
68 & 2.06 & 2.04441 & 2.04333 & 0.00107639 & 0.0155903 \tabularnewline
69 & 2.06 & 2.04691 & 2.04417 & 0.00274306 & 0.0130903 \tabularnewline
70 & 2.06 & 2.04852 & 2.04417 & 0.0043502 & 0.0114831 \tabularnewline
71 & 2.04 & 2.0453 & 2.04375 & 0.00155258 & -0.00530258 \tabularnewline
72 & 2.04 & 2.04262 & 2.0425 & 0.000124008 & -0.00262401 \tabularnewline
73 & 2.04 & 2.03667 & 2.04083 & -0.00416171 & 0.00332837 \tabularnewline
74 & 2.03 & 2.03173 & 2.03875 & -0.00701885 & -0.00173115 \tabularnewline
75 & 2.03 & 2.03489 & 2.03625 & -0.00136409 & -0.00488591 \tabularnewline
76 & 2.03 & 2.0337 & 2.03375 & -5.45635e-05 & -0.00369544 \tabularnewline
77 & 2.03 & 2.0328 & 2.03167 & 0.00113591 & -0.00280258 \tabularnewline
78 & 2.03 & 2.03256 & 2.03042 & 0.00214782 & -0.00256448 \tabularnewline
79 & 2.03 & 2.02905 & 2.02958 & -0.000530754 & 0.000947421 \tabularnewline
80 & 2.03 & 2.02983 & 2.02875 & 0.00107639 & 0.000173611 \tabularnewline
81 & 2.03 & 2.03108 & 2.02833 & 0.00274306 & -0.00107639 \tabularnewline
82 & 2.03 & 2.0331 & 2.02875 & 0.0043502 & -0.0031002 \tabularnewline
83 & 2.02 & 2.03155 & 2.03 & 0.00155258 & -0.0115526 \tabularnewline
84 & 2.03 & 2.03179 & 2.03167 & 0.000124008 & -0.00179067 \tabularnewline
85 & 2.03 & 2.02917 & 2.03333 & -0.00416171 & 0.000828373 \tabularnewline
86 & 2.02 & 2.02798 & 2.035 & -0.00701885 & -0.00798115 \tabularnewline
87 & 2.03 & 2.03614 & 2.0375 & -0.00136409 & -0.00613591 \tabularnewline
88 & 2.04 & 2.04078 & 2.04083 & -5.45635e-05 & -0.00077877 \tabularnewline
89 & 2.05 & 2.04614 & 2.045 & 0.00113591 & 0.00386409 \tabularnewline
90 & 2.05 & 2.05173 & 2.04958 & 0.00214782 & -0.00173115 \tabularnewline
91 & 2.05 & NA & NA & -0.000530754 & NA \tabularnewline
92 & 2.05 & NA & NA & 0.00107639 & NA \tabularnewline
93 & 2.07 & NA & NA & 0.00274306 & NA \tabularnewline
94 & 2.07 & NA & NA & 0.0043502 & NA \tabularnewline
95 & 2.08 & NA & NA & 0.00155258 & NA \tabularnewline
96 & 2.08 & NA & NA & 0.000124008 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271885&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]1.8[/C][C]NA[/C][C]NA[/C][C]-0.00416171[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1.8[/C][C]NA[/C][C]NA[/C][C]-0.00701885[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]1.81[/C][C]NA[/C][C]NA[/C][C]-0.00136409[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]1.81[/C][C]NA[/C][C]NA[/C][C]-5.45635e-05[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]1.81[/C][C]NA[/C][C]NA[/C][C]0.00113591[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]1.81[/C][C]NA[/C][C]NA[/C][C]0.00214782[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]1.81[/C][C]1.80864[/C][C]1.80917[/C][C]-0.000530754[/C][C]0.00136409[/C][/ROW]
[ROW][C]8[/C][C]1.81[/C][C]1.81066[/C][C]1.80958[/C][C]0.00107639[/C][C]-0.000659722[/C][/ROW]
[ROW][C]9[/C][C]1.82[/C][C]1.81274[/C][C]1.81[/C][C]0.00274306[/C][C]0.00725694[/C][/ROW]
[ROW][C]10[/C][C]1.82[/C][C]1.81435[/C][C]1.81[/C][C]0.0043502[/C][C]0.0056498[/C][/ROW]
[ROW][C]11[/C][C]1.81[/C][C]1.81155[/C][C]1.81[/C][C]0.00155258[/C][C]-0.00155258[/C][/ROW]
[ROW][C]12[/C][C]1.8[/C][C]1.81012[/C][C]1.81[/C][C]0.000124008[/C][C]-0.010124[/C][/ROW]
[ROW][C]13[/C][C]1.8[/C][C]1.80584[/C][C]1.81[/C][C]-0.00416171[/C][C]-0.00583829[/C][/ROW]
[ROW][C]14[/C][C]1.81[/C][C]1.8034[/C][C]1.81042[/C][C]-0.00701885[/C][C]0.00660218[/C][/ROW]
[ROW][C]15[/C][C]1.81[/C][C]1.80947[/C][C]1.81083[/C][C]-0.00136409[/C][C]0.000530754[/C][/ROW]
[ROW][C]16[/C][C]1.81[/C][C]1.81078[/C][C]1.81083[/C][C]-5.45635e-05[/C][C]-0.00077877[/C][/ROW]
[ROW][C]17[/C][C]1.81[/C][C]1.8128[/C][C]1.81167[/C][C]0.00113591[/C][C]-0.00280258[/C][/ROW]
[ROW][C]18[/C][C]1.81[/C][C]1.8159[/C][C]1.81375[/C][C]0.00214782[/C][C]-0.00589782[/C][/ROW]
[ROW][C]19[/C][C]1.81[/C][C]1.81572[/C][C]1.81625[/C][C]-0.000530754[/C][C]-0.00571925[/C][/ROW]
[ROW][C]20[/C][C]1.82[/C][C]1.81983[/C][C]1.81875[/C][C]0.00107639[/C][C]0.000173611[/C][/ROW]
[ROW][C]21[/C][C]1.82[/C][C]1.82441[/C][C]1.82167[/C][C]0.00274306[/C][C]-0.00440972[/C][/ROW]
[ROW][C]22[/C][C]1.82[/C][C]1.82977[/C][C]1.82542[/C][C]0.0043502[/C][C]-0.00976687[/C][/ROW]
[ROW][C]23[/C][C]1.83[/C][C]1.83114[/C][C]1.82958[/C][C]0.00155258[/C][C]-0.00113591[/C][/ROW]
[ROW][C]24[/C][C]1.83[/C][C]1.83429[/C][C]1.83417[/C][C]0.000124008[/C][C]-0.00429067[/C][/ROW]
[ROW][C]25[/C][C]1.83[/C][C]1.835[/C][C]1.83917[/C][C]-0.00416171[/C][C]-0.00500496[/C][/ROW]
[ROW][C]26[/C][C]1.84[/C][C]1.83631[/C][C]1.84333[/C][C]-0.00701885[/C][C]0.00368552[/C][/ROW]
[ROW][C]27[/C][C]1.85[/C][C]1.84614[/C][C]1.8475[/C][C]-0.00136409[/C][C]0.00386409[/C][/ROW]
[ROW][C]28[/C][C]1.86[/C][C]1.85286[/C][C]1.85292[/C][C]-5.45635e-05[/C][C]0.0071379[/C][/ROW]
[ROW][C]29[/C][C]1.86[/C][C]1.8603[/C][C]1.85917[/C][C]0.00113591[/C][C]-0.000302579[/C][/ROW]
[ROW][C]30[/C][C]1.87[/C][C]1.86798[/C][C]1.86583[/C][C]0.00214782[/C][C]0.00201885[/C][/ROW]
[ROW][C]31[/C][C]1.87[/C][C]1.87197[/C][C]1.8725[/C][C]-0.000530754[/C][C]-0.00196925[/C][/ROW]
[ROW][C]32[/C][C]1.86[/C][C]1.87983[/C][C]1.87875[/C][C]0.00107639[/C][C]-0.0198264[/C][/ROW]
[ROW][C]33[/C][C]1.88[/C][C]1.88733[/C][C]1.88458[/C][C]0.00274306[/C][C]-0.00732639[/C][/ROW]
[ROW][C]34[/C][C]1.89[/C][C]1.89477[/C][C]1.89042[/C][C]0.0043502[/C][C]-0.00476687[/C][/ROW]
[ROW][C]35[/C][C]1.91[/C][C]1.8978[/C][C]1.89625[/C][C]0.00155258[/C][C]0.0121974[/C][/ROW]
[ROW][C]36[/C][C]1.91[/C][C]1.90221[/C][C]1.90208[/C][C]0.000124008[/C][C]0.00779266[/C][/ROW]
[ROW][C]37[/C][C]1.91[/C][C]1.90375[/C][C]1.90792[/C][C]-0.00416171[/C][C]0.00624504[/C][/ROW]
[ROW][C]38[/C][C]1.91[/C][C]1.90756[/C][C]1.91458[/C][C]-0.00701885[/C][C]0.00243552[/C][/ROW]
[ROW][C]39[/C][C]1.92[/C][C]1.91989[/C][C]1.92125[/C][C]-0.00136409[/C][C]0.000114087[/C][/ROW]
[ROW][C]40[/C][C]1.93[/C][C]1.92703[/C][C]1.92708[/C][C]-5.45635e-05[/C][C]0.00297123[/C][/ROW]
[ROW][C]41[/C][C]1.93[/C][C]1.93364[/C][C]1.9325[/C][C]0.00113591[/C][C]-0.00363591[/C][/ROW]
[ROW][C]42[/C][C]1.94[/C][C]1.93965[/C][C]1.9375[/C][C]0.00214782[/C][C]0.000352183[/C][/ROW]
[ROW][C]43[/C][C]1.94[/C][C]1.94197[/C][C]1.9425[/C][C]-0.000530754[/C][C]-0.00196925[/C][/ROW]
[ROW][C]44[/C][C]1.95[/C][C]1.94858[/C][C]1.9475[/C][C]0.00107639[/C][C]0.00142361[/C][/ROW]
[ROW][C]45[/C][C]1.95[/C][C]1.95524[/C][C]1.9525[/C][C]0.00274306[/C][C]-0.00524306[/C][/ROW]
[ROW][C]46[/C][C]1.96[/C][C]1.96143[/C][C]1.95708[/C][C]0.0043502[/C][C]-0.00143353[/C][/ROW]
[ROW][C]47[/C][C]1.97[/C][C]1.96322[/C][C]1.96167[/C][C]0.00155258[/C][C]0.00678075[/C][/ROW]
[ROW][C]48[/C][C]1.97[/C][C]1.96637[/C][C]1.96625[/C][C]0.000124008[/C][C]0.00362599[/C][/ROW]
[ROW][C]49[/C][C]1.97[/C][C]1.96625[/C][C]1.97042[/C][C]-0.00416171[/C][C]0.00374504[/C][/ROW]
[ROW][C]50[/C][C]1.97[/C][C]1.96756[/C][C]1.97458[/C][C]-0.00701885[/C][C]0.00243552[/C][/ROW]
[ROW][C]51[/C][C]1.98[/C][C]1.97739[/C][C]1.97875[/C][C]-0.00136409[/C][C]0.00261409[/C][/ROW]
[ROW][C]52[/C][C]1.98[/C][C]1.98286[/C][C]1.98292[/C][C]-5.45635e-05[/C][C]-0.0028621[/C][/ROW]
[ROW][C]53[/C][C]1.99[/C][C]1.9878[/C][C]1.98667[/C][C]0.00113591[/C][C]0.00219742[/C][/ROW]
[ROW][C]54[/C][C]1.99[/C][C]1.99256[/C][C]1.99042[/C][C]0.00214782[/C][C]-0.00256448[/C][/ROW]
[ROW][C]55[/C][C]1.99[/C][C]1.99364[/C][C]1.99417[/C][C]-0.000530754[/C][C]-0.00363591[/C][/ROW]
[ROW][C]56[/C][C]2[/C][C]1.99858[/C][C]1.9975[/C][C]0.00107639[/C][C]0.00142361[/C][/ROW]
[ROW][C]57[/C][C]2[/C][C]2.00399[/C][C]2.00125[/C][C]0.00274306[/C][C]-0.00399306[/C][/ROW]
[ROW][C]58[/C][C]2.01[/C][C]2.00977[/C][C]2.00542[/C][C]0.0043502[/C][C]0.000233135[/C][/ROW]
[ROW][C]59[/C][C]2.01[/C][C]2.01114[/C][C]2.00958[/C][C]0.00155258[/C][C]-0.00113591[/C][/ROW]
[ROW][C]60[/C][C]2.02[/C][C]2.01429[/C][C]2.01417[/C][C]0.000124008[/C][C]0.00570933[/C][/ROW]
[ROW][C]61[/C][C]2.01[/C][C]2.015[/C][C]2.01917[/C][C]-0.00416171[/C][C]-0.00500496[/C][/ROW]
[ROW][C]62[/C][C]2.01[/C][C]2.01715[/C][C]2.02417[/C][C]-0.00701885[/C][C]-0.00714782[/C][/ROW]
[ROW][C]63[/C][C]2.03[/C][C]2.0278[/C][C]2.02917[/C][C]-0.00136409[/C][C]0.00219742[/C][/ROW]
[ROW][C]64[/C][C]2.03[/C][C]2.0337[/C][C]2.03375[/C][C]-5.45635e-05[/C][C]-0.00369544[/C][/ROW]
[ROW][C]65[/C][C]2.04[/C][C]2.03822[/C][C]2.03708[/C][C]0.00113591[/C][C]0.00178075[/C][/ROW]
[ROW][C]66[/C][C]2.05[/C][C]2.04131[/C][C]2.03917[/C][C]0.00214782[/C][C]0.00868552[/C][/ROW]
[ROW][C]67[/C][C]2.05[/C][C]2.04072[/C][C]2.04125[/C][C]-0.000530754[/C][C]0.00928075[/C][/ROW]
[ROW][C]68[/C][C]2.06[/C][C]2.04441[/C][C]2.04333[/C][C]0.00107639[/C][C]0.0155903[/C][/ROW]
[ROW][C]69[/C][C]2.06[/C][C]2.04691[/C][C]2.04417[/C][C]0.00274306[/C][C]0.0130903[/C][/ROW]
[ROW][C]70[/C][C]2.06[/C][C]2.04852[/C][C]2.04417[/C][C]0.0043502[/C][C]0.0114831[/C][/ROW]
[ROW][C]71[/C][C]2.04[/C][C]2.0453[/C][C]2.04375[/C][C]0.00155258[/C][C]-0.00530258[/C][/ROW]
[ROW][C]72[/C][C]2.04[/C][C]2.04262[/C][C]2.0425[/C][C]0.000124008[/C][C]-0.00262401[/C][/ROW]
[ROW][C]73[/C][C]2.04[/C][C]2.03667[/C][C]2.04083[/C][C]-0.00416171[/C][C]0.00332837[/C][/ROW]
[ROW][C]74[/C][C]2.03[/C][C]2.03173[/C][C]2.03875[/C][C]-0.00701885[/C][C]-0.00173115[/C][/ROW]
[ROW][C]75[/C][C]2.03[/C][C]2.03489[/C][C]2.03625[/C][C]-0.00136409[/C][C]-0.00488591[/C][/ROW]
[ROW][C]76[/C][C]2.03[/C][C]2.0337[/C][C]2.03375[/C][C]-5.45635e-05[/C][C]-0.00369544[/C][/ROW]
[ROW][C]77[/C][C]2.03[/C][C]2.0328[/C][C]2.03167[/C][C]0.00113591[/C][C]-0.00280258[/C][/ROW]
[ROW][C]78[/C][C]2.03[/C][C]2.03256[/C][C]2.03042[/C][C]0.00214782[/C][C]-0.00256448[/C][/ROW]
[ROW][C]79[/C][C]2.03[/C][C]2.02905[/C][C]2.02958[/C][C]-0.000530754[/C][C]0.000947421[/C][/ROW]
[ROW][C]80[/C][C]2.03[/C][C]2.02983[/C][C]2.02875[/C][C]0.00107639[/C][C]0.000173611[/C][/ROW]
[ROW][C]81[/C][C]2.03[/C][C]2.03108[/C][C]2.02833[/C][C]0.00274306[/C][C]-0.00107639[/C][/ROW]
[ROW][C]82[/C][C]2.03[/C][C]2.0331[/C][C]2.02875[/C][C]0.0043502[/C][C]-0.0031002[/C][/ROW]
[ROW][C]83[/C][C]2.02[/C][C]2.03155[/C][C]2.03[/C][C]0.00155258[/C][C]-0.0115526[/C][/ROW]
[ROW][C]84[/C][C]2.03[/C][C]2.03179[/C][C]2.03167[/C][C]0.000124008[/C][C]-0.00179067[/C][/ROW]
[ROW][C]85[/C][C]2.03[/C][C]2.02917[/C][C]2.03333[/C][C]-0.00416171[/C][C]0.000828373[/C][/ROW]
[ROW][C]86[/C][C]2.02[/C][C]2.02798[/C][C]2.035[/C][C]-0.00701885[/C][C]-0.00798115[/C][/ROW]
[ROW][C]87[/C][C]2.03[/C][C]2.03614[/C][C]2.0375[/C][C]-0.00136409[/C][C]-0.00613591[/C][/ROW]
[ROW][C]88[/C][C]2.04[/C][C]2.04078[/C][C]2.04083[/C][C]-5.45635e-05[/C][C]-0.00077877[/C][/ROW]
[ROW][C]89[/C][C]2.05[/C][C]2.04614[/C][C]2.045[/C][C]0.00113591[/C][C]0.00386409[/C][/ROW]
[ROW][C]90[/C][C]2.05[/C][C]2.05173[/C][C]2.04958[/C][C]0.00214782[/C][C]-0.00173115[/C][/ROW]
[ROW][C]91[/C][C]2.05[/C][C]NA[/C][C]NA[/C][C]-0.000530754[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]2.05[/C][C]NA[/C][C]NA[/C][C]0.00107639[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]2.07[/C][C]NA[/C][C]NA[/C][C]0.00274306[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]2.07[/C][C]NA[/C][C]NA[/C][C]0.0043502[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]2.08[/C][C]NA[/C][C]NA[/C][C]0.00155258[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]2.08[/C][C]NA[/C][C]NA[/C][C]0.000124008[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271885&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271885&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	1.8	NA	NA	-0.00416171	NA
2	1.8	NA	NA	-0.00701885	NA
3	1.81	NA	NA	-0.00136409	NA
4	1.81	NA	NA	-5.45635e-05	NA
5	1.81	NA	NA	0.00113591	NA
6	1.81	NA	NA	0.00214782	NA
7	1.81	1.80864	1.80917	-0.000530754	0.00136409
8	1.81	1.81066	1.80958	0.00107639	-0.000659722
9	1.82	1.81274	1.81	0.00274306	0.00725694
10	1.82	1.81435	1.81	0.0043502	0.0056498
11	1.81	1.81155	1.81	0.00155258	-0.00155258
12	1.8	1.81012	1.81	0.000124008	-0.010124
13	1.8	1.80584	1.81	-0.00416171	-0.00583829
14	1.81	1.8034	1.81042	-0.00701885	0.00660218
15	1.81	1.80947	1.81083	-0.00136409	0.000530754
16	1.81	1.81078	1.81083	-5.45635e-05	-0.00077877
17	1.81	1.8128	1.81167	0.00113591	-0.00280258
18	1.81	1.8159	1.81375	0.00214782	-0.00589782
19	1.81	1.81572	1.81625	-0.000530754	-0.00571925
20	1.82	1.81983	1.81875	0.00107639	0.000173611
21	1.82	1.82441	1.82167	0.00274306	-0.00440972
22	1.82	1.82977	1.82542	0.0043502	-0.00976687
23	1.83	1.83114	1.82958	0.00155258	-0.00113591
24	1.83	1.83429	1.83417	0.000124008	-0.00429067
25	1.83	1.835	1.83917	-0.00416171	-0.00500496
26	1.84	1.83631	1.84333	-0.00701885	0.00368552
27	1.85	1.84614	1.8475	-0.00136409	0.00386409
28	1.86	1.85286	1.85292	-5.45635e-05	0.0071379
29	1.86	1.8603	1.85917	0.00113591	-0.000302579
30	1.87	1.86798	1.86583	0.00214782	0.00201885
31	1.87	1.87197	1.8725	-0.000530754	-0.00196925
32	1.86	1.87983	1.87875	0.00107639	-0.0198264
33	1.88	1.88733	1.88458	0.00274306	-0.00732639
34	1.89	1.89477	1.89042	0.0043502	-0.00476687
35	1.91	1.8978	1.89625	0.00155258	0.0121974
36	1.91	1.90221	1.90208	0.000124008	0.00779266
37	1.91	1.90375	1.90792	-0.00416171	0.00624504
38	1.91	1.90756	1.91458	-0.00701885	0.00243552
39	1.92	1.91989	1.92125	-0.00136409	0.000114087
40	1.93	1.92703	1.92708	-5.45635e-05	0.00297123
41	1.93	1.93364	1.9325	0.00113591	-0.00363591
42	1.94	1.93965	1.9375	0.00214782	0.000352183
43	1.94	1.94197	1.9425	-0.000530754	-0.00196925
44	1.95	1.94858	1.9475	0.00107639	0.00142361
45	1.95	1.95524	1.9525	0.00274306	-0.00524306
46	1.96	1.96143	1.95708	0.0043502	-0.00143353
47	1.97	1.96322	1.96167	0.00155258	0.00678075
48	1.97	1.96637	1.96625	0.000124008	0.00362599
49	1.97	1.96625	1.97042	-0.00416171	0.00374504
50	1.97	1.96756	1.97458	-0.00701885	0.00243552
51	1.98	1.97739	1.97875	-0.00136409	0.00261409
52	1.98	1.98286	1.98292	-5.45635e-05	-0.0028621
53	1.99	1.9878	1.98667	0.00113591	0.00219742
54	1.99	1.99256	1.99042	0.00214782	-0.00256448
55	1.99	1.99364	1.99417	-0.000530754	-0.00363591
56	2	1.99858	1.9975	0.00107639	0.00142361
57	2	2.00399	2.00125	0.00274306	-0.00399306
58	2.01	2.00977	2.00542	0.0043502	0.000233135
59	2.01	2.01114	2.00958	0.00155258	-0.00113591
60	2.02	2.01429	2.01417	0.000124008	0.00570933
61	2.01	2.015	2.01917	-0.00416171	-0.00500496
62	2.01	2.01715	2.02417	-0.00701885	-0.00714782
63	2.03	2.0278	2.02917	-0.00136409	0.00219742
64	2.03	2.0337	2.03375	-5.45635e-05	-0.00369544
65	2.04	2.03822	2.03708	0.00113591	0.00178075
66	2.05	2.04131	2.03917	0.00214782	0.00868552
67	2.05	2.04072	2.04125	-0.000530754	0.00928075
68	2.06	2.04441	2.04333	0.00107639	0.0155903
69	2.06	2.04691	2.04417	0.00274306	0.0130903
70	2.06	2.04852	2.04417	0.0043502	0.0114831
71	2.04	2.0453	2.04375	0.00155258	-0.00530258
72	2.04	2.04262	2.0425	0.000124008	-0.00262401
73	2.04	2.03667	2.04083	-0.00416171	0.00332837
74	2.03	2.03173	2.03875	-0.00701885	-0.00173115
75	2.03	2.03489	2.03625	-0.00136409	-0.00488591
76	2.03	2.0337	2.03375	-5.45635e-05	-0.00369544
77	2.03	2.0328	2.03167	0.00113591	-0.00280258
78	2.03	2.03256	2.03042	0.00214782	-0.00256448
79	2.03	2.02905	2.02958	-0.000530754	0.000947421
80	2.03	2.02983	2.02875	0.00107639	0.000173611
81	2.03	2.03108	2.02833	0.00274306	-0.00107639
82	2.03	2.0331	2.02875	0.0043502	-0.0031002
83	2.02	2.03155	2.03	0.00155258	-0.0115526
84	2.03	2.03179	2.03167	0.000124008	-0.00179067
85	2.03	2.02917	2.03333	-0.00416171	0.000828373
86	2.02	2.02798	2.035	-0.00701885	-0.00798115
87	2.03	2.03614	2.0375	-0.00136409	-0.00613591
88	2.04	2.04078	2.04083	-5.45635e-05	-0.00077877
89	2.05	2.04614	2.045	0.00113591	0.00386409
90	2.05	2.05173	2.04958	0.00214782	-0.00173115
91	2.05	NA	NA	-0.000530754	NA
92	2.05	NA	NA	0.00107639	NA
93	2.07	NA	NA	0.00274306	NA
94	2.07	NA	NA	0.0043502	NA
95	2.08	NA	NA	0.00155258	NA
96	2.08	NA	NA	0.000124008	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

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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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$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