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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Fri, 23 May 2008 06:44:41 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/May/23/t1211546775oq2yqbsgfgz5pe7.htm/, Retrieved Mon, 13 May 2024 21:34:24 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13046, Retrieved Mon, 13 May 2024 21:34:24 +0000

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No (this computation is public)

User-defined keywords

Multiplicatief decompositiemodel - Blue Jeans (D) - Alexia Versluys

Estimated Impact

227

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

-       [Classical Decomposition] [Multiplicatief de...] [2008-05-23 12:44:41] [e8c1fcf34dff5578299591fe58b62c2d] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13046&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13046&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13046&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	44.13	NA	NA	0.99997581792736	NA
2	44.13	NA	NA	0.998604347384568	NA
3	44.17	NA	NA	1.00074767725670	NA
4	44.14	NA	NA	1.00091607839687	NA
5	44.15	NA	NA	1.00011371293273	NA
6	44.14	NA	NA	0.999510282162221	NA
7	44.14	44.1167443144233	44.19	0.998342256492946	1.00052713965951
8	44.14	44.0823701114498	44.2025	0.99728228293535	1.00130732282326
9	44.19	44.1712707924242	44.2120833333333	0.999076891703985	1.00042401332902
10	44.29	44.3188854764606	44.22375	1.00215123042394	0.999348235494868
11	44.29	44.3363017205637	44.23875	1.00220511928035	0.99895567021229
12	44.29	44.3017090552363	44.2541666666667	1.00107430310298	0.999735697437278
13	44.29	44.2697627728259	44.2708333333333	0.99997581792736	1.00045713430356
14	44.27	44.2256900347941	44.2875	0.998604347384568	1.00100190557052
15	44.26	44.3364579280628	44.3033333333333	1.00074767725670	0.99827550662286
16	44.33	44.3589324010852	44.3183333333333	1.00091607839687	0.999347766063808
17	44.32	44.3400414628727	44.335	1.00011371293273	0.999548005319538
18	44.34	44.3316127148351	44.3533333333333	0.999510282162221	1.00018919422623
19	44.34	44.2981098243528	44.3716666666667	0.998342256492946	1.00094564250740
20	44.34	44.2706071423539	44.39125	0.99728228293535	1.00156747020485
21	44.37	44.378995529491	44.42	0.999076891703985	0.999797302093396
22	44.47	44.5552261416355	44.4595833333333	1.00215123042394	0.998087179686517
23	44.51	44.6031388335721	44.505	1.00220511928035	0.997911832305802
24	44.51	44.6024484604601	44.5545833333333	1.00107430310298	0.997927278352396
25	44.51	44.6039213586499	44.605	0.99997581792736	0.997894325077503
26	44.52	44.5926771324579	44.655	0.998604347384568	0.99837020028553
27	44.7	44.7359230425678	44.7025	1.00074767725670	0.999196997845924
28	44.84	44.7997525239459	44.75875	1.00091607839687	1.00089838612463
29	44.9	44.8330141805391	44.8279166666667	1.00011371293273	1.00149411813337
30	44.95	44.8759293559959	44.8979166666667	0.999510282162221	1.00165056512627
31	44.94	44.8925394429063	44.9670833333333	0.998342256492946	1.00105720366196
32	44.94	44.9134386805626	45.0358333333333	0.99728228293535	1.00059138913024
33	44.91	45.0592003799261	45.1008333333333	0.999076891703985	0.996688792107536
34	45.28	45.2613251960717	45.1641666666667	1.00215123042394	1.00041259958358
35	45.36	45.3318254723822	45.2320833333333	1.00220511928035	1.00062151760544
36	45.34	45.3503343877366	45.3016666666667	1.00107430310298	0.99977212102455
37	45.34	45.3693195159552	45.3704166666667	0.99997581792736	0.999353758966016
38	45.34	45.37616546001	45.4395833333333	0.998604347384568	0.99920298554002
39	45.44	45.557370094316	45.5233333333333	1.00074767725670	0.997423685913542
40	45.62	45.6547016742432	45.6129166666667	1.00091607839687	0.999239910174186
41	45.75	45.6997793984142	45.6945833333333	1.00011371293273	1.00109892437659
42	45.77	45.7550819416811	45.7775	0.999510282162221	1.00032604156054
43	45.77	45.7848078346469	45.8608333333333	0.998342256492946	0.999676577551655
44	45.77	45.8168102151882	45.9416666666667	0.99728228293535	0.998978317893184
45	46.09	45.9862604790198	46.02875	0.999076891703985	1.00225588077612
46	46.25	46.2091932348477	46.11	1.00215123042394	1.00088308759136
47	46.35	46.2676345025102	46.1658333333333	1.00220511928035	1.0017801968563
48	46.34	46.2596435463885	46.21	1.00107430310298	1.00173707463895
49	46.34	46.2522148318669	46.2533333333333	0.99997581792736	1.00189796679904
50	46.28	46.2324686878923	46.2970833333333	0.998604347384568	1.00102809375006
51	46.59	46.3717285166836	46.3370833333333	1.00074767725670	1.0047069947638
52	46.42	46.4145637970928	46.3720833333333	1.00091607839687	1.00011712278351
53	46.29	46.4077765643611	46.4025	1.00011371293273	0.997462137316624
54	46.29	46.4089282512622	46.4316666666667	0.999510282162221	0.997437384233087
55	46.29	46.3863090441839	46.4633333333333	0.998342256492946	0.997923761425119
56	46.3	46.3711329507865	46.4975	0.99728228293535	0.998466007917858
57	46.52	46.4799709763368	46.5229166666667	0.999076891703985	1.00086121016908
58	46.66	46.6497222132216	46.5495833333333	1.00215123042394	1.00022031828467
59	46.67	46.7031761439308	46.6004166666667	1.00220511928035	0.999289638378586
60	46.72	46.7122125542496	46.6620833333333	1.00107430310298	1.00016671113023
61	46.72	46.7217868097019	46.7229166666667	0.99997581792736	0.999961756391955
62	46.72	46.7246974141240	46.79	0.998604347384568	0.999899466141379
63	46.76	46.8908663742605	46.8558333333333	1.00074767725670	0.9972091286773
64	46.89	46.975493849361	46.9325	1.00091607839687	0.998180032984109
65	47.04	47.0357646332735	47.0304166666667	1.00011371293273	1.00009004566545
66	47.02	47.1073360609231	47.1304166666667	0.999510282162221	0.998146019957272
67	47.02	NA	NA	0.998342256492946	NA
68	47.18	NA	NA	0.99728228293535	NA
69	47.22	NA	NA	0.999076891703985	NA
70	47.8	NA	NA	1.00215123042394	NA
71	47.88	NA	NA	1.00220511928035	NA
72	47.91	NA	NA	1.00107430310298	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 44.13 & NA & NA & 0.99997581792736 & NA \tabularnewline
2 & 44.13 & NA & NA & 0.998604347384568 & NA \tabularnewline
3 & 44.17 & NA & NA & 1.00074767725670 & NA \tabularnewline
4 & 44.14 & NA & NA & 1.00091607839687 & NA \tabularnewline
5 & 44.15 & NA & NA & 1.00011371293273 & NA \tabularnewline
6 & 44.14 & NA & NA & 0.999510282162221 & NA \tabularnewline
7 & 44.14 & 44.1167443144233 & 44.19 & 0.998342256492946 & 1.00052713965951 \tabularnewline
8 & 44.14 & 44.0823701114498 & 44.2025 & 0.99728228293535 & 1.00130732282326 \tabularnewline
9 & 44.19 & 44.1712707924242 & 44.2120833333333 & 0.999076891703985 & 1.00042401332902 \tabularnewline
10 & 44.29 & 44.3188854764606 & 44.22375 & 1.00215123042394 & 0.999348235494868 \tabularnewline
11 & 44.29 & 44.3363017205637 & 44.23875 & 1.00220511928035 & 0.99895567021229 \tabularnewline
12 & 44.29 & 44.3017090552363 & 44.2541666666667 & 1.00107430310298 & 0.999735697437278 \tabularnewline
13 & 44.29 & 44.2697627728259 & 44.2708333333333 & 0.99997581792736 & 1.00045713430356 \tabularnewline
14 & 44.27 & 44.2256900347941 & 44.2875 & 0.998604347384568 & 1.00100190557052 \tabularnewline
15 & 44.26 & 44.3364579280628 & 44.3033333333333 & 1.00074767725670 & 0.99827550662286 \tabularnewline
16 & 44.33 & 44.3589324010852 & 44.3183333333333 & 1.00091607839687 & 0.999347766063808 \tabularnewline
17 & 44.32 & 44.3400414628727 & 44.335 & 1.00011371293273 & 0.999548005319538 \tabularnewline
18 & 44.34 & 44.3316127148351 & 44.3533333333333 & 0.999510282162221 & 1.00018919422623 \tabularnewline
19 & 44.34 & 44.2981098243528 & 44.3716666666667 & 0.998342256492946 & 1.00094564250740 \tabularnewline
20 & 44.34 & 44.2706071423539 & 44.39125 & 0.99728228293535 & 1.00156747020485 \tabularnewline
21 & 44.37 & 44.378995529491 & 44.42 & 0.999076891703985 & 0.999797302093396 \tabularnewline
22 & 44.47 & 44.5552261416355 & 44.4595833333333 & 1.00215123042394 & 0.998087179686517 \tabularnewline
23 & 44.51 & 44.6031388335721 & 44.505 & 1.00220511928035 & 0.997911832305802 \tabularnewline
24 & 44.51 & 44.6024484604601 & 44.5545833333333 & 1.00107430310298 & 0.997927278352396 \tabularnewline
25 & 44.51 & 44.6039213586499 & 44.605 & 0.99997581792736 & 0.997894325077503 \tabularnewline
26 & 44.52 & 44.5926771324579 & 44.655 & 0.998604347384568 & 0.99837020028553 \tabularnewline
27 & 44.7 & 44.7359230425678 & 44.7025 & 1.00074767725670 & 0.999196997845924 \tabularnewline
28 & 44.84 & 44.7997525239459 & 44.75875 & 1.00091607839687 & 1.00089838612463 \tabularnewline
29 & 44.9 & 44.8330141805391 & 44.8279166666667 & 1.00011371293273 & 1.00149411813337 \tabularnewline
30 & 44.95 & 44.8759293559959 & 44.8979166666667 & 0.999510282162221 & 1.00165056512627 \tabularnewline
31 & 44.94 & 44.8925394429063 & 44.9670833333333 & 0.998342256492946 & 1.00105720366196 \tabularnewline
32 & 44.94 & 44.9134386805626 & 45.0358333333333 & 0.99728228293535 & 1.00059138913024 \tabularnewline
33 & 44.91 & 45.0592003799261 & 45.1008333333333 & 0.999076891703985 & 0.996688792107536 \tabularnewline
34 & 45.28 & 45.2613251960717 & 45.1641666666667 & 1.00215123042394 & 1.00041259958358 \tabularnewline
35 & 45.36 & 45.3318254723822 & 45.2320833333333 & 1.00220511928035 & 1.00062151760544 \tabularnewline
36 & 45.34 & 45.3503343877366 & 45.3016666666667 & 1.00107430310298 & 0.99977212102455 \tabularnewline
37 & 45.34 & 45.3693195159552 & 45.3704166666667 & 0.99997581792736 & 0.999353758966016 \tabularnewline
38 & 45.34 & 45.37616546001 & 45.4395833333333 & 0.998604347384568 & 0.99920298554002 \tabularnewline
39 & 45.44 & 45.557370094316 & 45.5233333333333 & 1.00074767725670 & 0.997423685913542 \tabularnewline
40 & 45.62 & 45.6547016742432 & 45.6129166666667 & 1.00091607839687 & 0.999239910174186 \tabularnewline
41 & 45.75 & 45.6997793984142 & 45.6945833333333 & 1.00011371293273 & 1.00109892437659 \tabularnewline
42 & 45.77 & 45.7550819416811 & 45.7775 & 0.999510282162221 & 1.00032604156054 \tabularnewline
43 & 45.77 & 45.7848078346469 & 45.8608333333333 & 0.998342256492946 & 0.999676577551655 \tabularnewline
44 & 45.77 & 45.8168102151882 & 45.9416666666667 & 0.99728228293535 & 0.998978317893184 \tabularnewline
45 & 46.09 & 45.9862604790198 & 46.02875 & 0.999076891703985 & 1.00225588077612 \tabularnewline
46 & 46.25 & 46.2091932348477 & 46.11 & 1.00215123042394 & 1.00088308759136 \tabularnewline
47 & 46.35 & 46.2676345025102 & 46.1658333333333 & 1.00220511928035 & 1.0017801968563 \tabularnewline
48 & 46.34 & 46.2596435463885 & 46.21 & 1.00107430310298 & 1.00173707463895 \tabularnewline
49 & 46.34 & 46.2522148318669 & 46.2533333333333 & 0.99997581792736 & 1.00189796679904 \tabularnewline
50 & 46.28 & 46.2324686878923 & 46.2970833333333 & 0.998604347384568 & 1.00102809375006 \tabularnewline
51 & 46.59 & 46.3717285166836 & 46.3370833333333 & 1.00074767725670 & 1.0047069947638 \tabularnewline
52 & 46.42 & 46.4145637970928 & 46.3720833333333 & 1.00091607839687 & 1.00011712278351 \tabularnewline
53 & 46.29 & 46.4077765643611 & 46.4025 & 1.00011371293273 & 0.997462137316624 \tabularnewline
54 & 46.29 & 46.4089282512622 & 46.4316666666667 & 0.999510282162221 & 0.997437384233087 \tabularnewline
55 & 46.29 & 46.3863090441839 & 46.4633333333333 & 0.998342256492946 & 0.997923761425119 \tabularnewline
56 & 46.3 & 46.3711329507865 & 46.4975 & 0.99728228293535 & 0.998466007917858 \tabularnewline
57 & 46.52 & 46.4799709763368 & 46.5229166666667 & 0.999076891703985 & 1.00086121016908 \tabularnewline
58 & 46.66 & 46.6497222132216 & 46.5495833333333 & 1.00215123042394 & 1.00022031828467 \tabularnewline
59 & 46.67 & 46.7031761439308 & 46.6004166666667 & 1.00220511928035 & 0.999289638378586 \tabularnewline
60 & 46.72 & 46.7122125542496 & 46.6620833333333 & 1.00107430310298 & 1.00016671113023 \tabularnewline
61 & 46.72 & 46.7217868097019 & 46.7229166666667 & 0.99997581792736 & 0.999961756391955 \tabularnewline
62 & 46.72 & 46.7246974141240 & 46.79 & 0.998604347384568 & 0.999899466141379 \tabularnewline
63 & 46.76 & 46.8908663742605 & 46.8558333333333 & 1.00074767725670 & 0.9972091286773 \tabularnewline
64 & 46.89 & 46.975493849361 & 46.9325 & 1.00091607839687 & 0.998180032984109 \tabularnewline
65 & 47.04 & 47.0357646332735 & 47.0304166666667 & 1.00011371293273 & 1.00009004566545 \tabularnewline
66 & 47.02 & 47.1073360609231 & 47.1304166666667 & 0.999510282162221 & 0.998146019957272 \tabularnewline
67 & 47.02 & NA & NA & 0.998342256492946 & NA \tabularnewline
68 & 47.18 & NA & NA & 0.99728228293535 & NA \tabularnewline
69 & 47.22 & NA & NA & 0.999076891703985 & NA \tabularnewline
70 & 47.8 & NA & NA & 1.00215123042394 & NA \tabularnewline
71 & 47.88 & NA & NA & 1.00220511928035 & NA \tabularnewline
72 & 47.91 & NA & NA & 1.00107430310298 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13046&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]44.13[/C][C]NA[/C][C]NA[/C][C]0.99997581792736[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]44.13[/C][C]NA[/C][C]NA[/C][C]0.998604347384568[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]44.17[/C][C]NA[/C][C]NA[/C][C]1.00074767725670[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]44.14[/C][C]NA[/C][C]NA[/C][C]1.00091607839687[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]44.15[/C][C]NA[/C][C]NA[/C][C]1.00011371293273[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]44.14[/C][C]NA[/C][C]NA[/C][C]0.999510282162221[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]44.14[/C][C]44.1167443144233[/C][C]44.19[/C][C]0.998342256492946[/C][C]1.00052713965951[/C][/ROW]
[ROW][C]8[/C][C]44.14[/C][C]44.0823701114498[/C][C]44.2025[/C][C]0.99728228293535[/C][C]1.00130732282326[/C][/ROW]
[ROW][C]9[/C][C]44.19[/C][C]44.1712707924242[/C][C]44.2120833333333[/C][C]0.999076891703985[/C][C]1.00042401332902[/C][/ROW]
[ROW][C]10[/C][C]44.29[/C][C]44.3188854764606[/C][C]44.22375[/C][C]1.00215123042394[/C][C]0.999348235494868[/C][/ROW]
[ROW][C]11[/C][C]44.29[/C][C]44.3363017205637[/C][C]44.23875[/C][C]1.00220511928035[/C][C]0.99895567021229[/C][/ROW]
[ROW][C]12[/C][C]44.29[/C][C]44.3017090552363[/C][C]44.2541666666667[/C][C]1.00107430310298[/C][C]0.999735697437278[/C][/ROW]
[ROW][C]13[/C][C]44.29[/C][C]44.2697627728259[/C][C]44.2708333333333[/C][C]0.99997581792736[/C][C]1.00045713430356[/C][/ROW]
[ROW][C]14[/C][C]44.27[/C][C]44.2256900347941[/C][C]44.2875[/C][C]0.998604347384568[/C][C]1.00100190557052[/C][/ROW]
[ROW][C]15[/C][C]44.26[/C][C]44.3364579280628[/C][C]44.3033333333333[/C][C]1.00074767725670[/C][C]0.99827550662286[/C][/ROW]
[ROW][C]16[/C][C]44.33[/C][C]44.3589324010852[/C][C]44.3183333333333[/C][C]1.00091607839687[/C][C]0.999347766063808[/C][/ROW]
[ROW][C]17[/C][C]44.32[/C][C]44.3400414628727[/C][C]44.335[/C][C]1.00011371293273[/C][C]0.999548005319538[/C][/ROW]
[ROW][C]18[/C][C]44.34[/C][C]44.3316127148351[/C][C]44.3533333333333[/C][C]0.999510282162221[/C][C]1.00018919422623[/C][/ROW]
[ROW][C]19[/C][C]44.34[/C][C]44.2981098243528[/C][C]44.3716666666667[/C][C]0.998342256492946[/C][C]1.00094564250740[/C][/ROW]
[ROW][C]20[/C][C]44.34[/C][C]44.2706071423539[/C][C]44.39125[/C][C]0.99728228293535[/C][C]1.00156747020485[/C][/ROW]
[ROW][C]21[/C][C]44.37[/C][C]44.378995529491[/C][C]44.42[/C][C]0.999076891703985[/C][C]0.999797302093396[/C][/ROW]
[ROW][C]22[/C][C]44.47[/C][C]44.5552261416355[/C][C]44.4595833333333[/C][C]1.00215123042394[/C][C]0.998087179686517[/C][/ROW]
[ROW][C]23[/C][C]44.51[/C][C]44.6031388335721[/C][C]44.505[/C][C]1.00220511928035[/C][C]0.997911832305802[/C][/ROW]
[ROW][C]24[/C][C]44.51[/C][C]44.6024484604601[/C][C]44.5545833333333[/C][C]1.00107430310298[/C][C]0.997927278352396[/C][/ROW]
[ROW][C]25[/C][C]44.51[/C][C]44.6039213586499[/C][C]44.605[/C][C]0.99997581792736[/C][C]0.997894325077503[/C][/ROW]
[ROW][C]26[/C][C]44.52[/C][C]44.5926771324579[/C][C]44.655[/C][C]0.998604347384568[/C][C]0.99837020028553[/C][/ROW]
[ROW][C]27[/C][C]44.7[/C][C]44.7359230425678[/C][C]44.7025[/C][C]1.00074767725670[/C][C]0.999196997845924[/C][/ROW]
[ROW][C]28[/C][C]44.84[/C][C]44.7997525239459[/C][C]44.75875[/C][C]1.00091607839687[/C][C]1.00089838612463[/C][/ROW]
[ROW][C]29[/C][C]44.9[/C][C]44.8330141805391[/C][C]44.8279166666667[/C][C]1.00011371293273[/C][C]1.00149411813337[/C][/ROW]
[ROW][C]30[/C][C]44.95[/C][C]44.8759293559959[/C][C]44.8979166666667[/C][C]0.999510282162221[/C][C]1.00165056512627[/C][/ROW]
[ROW][C]31[/C][C]44.94[/C][C]44.8925394429063[/C][C]44.9670833333333[/C][C]0.998342256492946[/C][C]1.00105720366196[/C][/ROW]
[ROW][C]32[/C][C]44.94[/C][C]44.9134386805626[/C][C]45.0358333333333[/C][C]0.99728228293535[/C][C]1.00059138913024[/C][/ROW]
[ROW][C]33[/C][C]44.91[/C][C]45.0592003799261[/C][C]45.1008333333333[/C][C]0.999076891703985[/C][C]0.996688792107536[/C][/ROW]
[ROW][C]34[/C][C]45.28[/C][C]45.2613251960717[/C][C]45.1641666666667[/C][C]1.00215123042394[/C][C]1.00041259958358[/C][/ROW]
[ROW][C]35[/C][C]45.36[/C][C]45.3318254723822[/C][C]45.2320833333333[/C][C]1.00220511928035[/C][C]1.00062151760544[/C][/ROW]
[ROW][C]36[/C][C]45.34[/C][C]45.3503343877366[/C][C]45.3016666666667[/C][C]1.00107430310298[/C][C]0.99977212102455[/C][/ROW]
[ROW][C]37[/C][C]45.34[/C][C]45.3693195159552[/C][C]45.3704166666667[/C][C]0.99997581792736[/C][C]0.999353758966016[/C][/ROW]
[ROW][C]38[/C][C]45.34[/C][C]45.37616546001[/C][C]45.4395833333333[/C][C]0.998604347384568[/C][C]0.99920298554002[/C][/ROW]
[ROW][C]39[/C][C]45.44[/C][C]45.557370094316[/C][C]45.5233333333333[/C][C]1.00074767725670[/C][C]0.997423685913542[/C][/ROW]
[ROW][C]40[/C][C]45.62[/C][C]45.6547016742432[/C][C]45.6129166666667[/C][C]1.00091607839687[/C][C]0.999239910174186[/C][/ROW]
[ROW][C]41[/C][C]45.75[/C][C]45.6997793984142[/C][C]45.6945833333333[/C][C]1.00011371293273[/C][C]1.00109892437659[/C][/ROW]
[ROW][C]42[/C][C]45.77[/C][C]45.7550819416811[/C][C]45.7775[/C][C]0.999510282162221[/C][C]1.00032604156054[/C][/ROW]
[ROW][C]43[/C][C]45.77[/C][C]45.7848078346469[/C][C]45.8608333333333[/C][C]0.998342256492946[/C][C]0.999676577551655[/C][/ROW]
[ROW][C]44[/C][C]45.77[/C][C]45.8168102151882[/C][C]45.9416666666667[/C][C]0.99728228293535[/C][C]0.998978317893184[/C][/ROW]
[ROW][C]45[/C][C]46.09[/C][C]45.9862604790198[/C][C]46.02875[/C][C]0.999076891703985[/C][C]1.00225588077612[/C][/ROW]
[ROW][C]46[/C][C]46.25[/C][C]46.2091932348477[/C][C]46.11[/C][C]1.00215123042394[/C][C]1.00088308759136[/C][/ROW]
[ROW][C]47[/C][C]46.35[/C][C]46.2676345025102[/C][C]46.1658333333333[/C][C]1.00220511928035[/C][C]1.0017801968563[/C][/ROW]
[ROW][C]48[/C][C]46.34[/C][C]46.2596435463885[/C][C]46.21[/C][C]1.00107430310298[/C][C]1.00173707463895[/C][/ROW]
[ROW][C]49[/C][C]46.34[/C][C]46.2522148318669[/C][C]46.2533333333333[/C][C]0.99997581792736[/C][C]1.00189796679904[/C][/ROW]
[ROW][C]50[/C][C]46.28[/C][C]46.2324686878923[/C][C]46.2970833333333[/C][C]0.998604347384568[/C][C]1.00102809375006[/C][/ROW]
[ROW][C]51[/C][C]46.59[/C][C]46.3717285166836[/C][C]46.3370833333333[/C][C]1.00074767725670[/C][C]1.0047069947638[/C][/ROW]
[ROW][C]52[/C][C]46.42[/C][C]46.4145637970928[/C][C]46.3720833333333[/C][C]1.00091607839687[/C][C]1.00011712278351[/C][/ROW]
[ROW][C]53[/C][C]46.29[/C][C]46.4077765643611[/C][C]46.4025[/C][C]1.00011371293273[/C][C]0.997462137316624[/C][/ROW]
[ROW][C]54[/C][C]46.29[/C][C]46.4089282512622[/C][C]46.4316666666667[/C][C]0.999510282162221[/C][C]0.997437384233087[/C][/ROW]
[ROW][C]55[/C][C]46.29[/C][C]46.3863090441839[/C][C]46.4633333333333[/C][C]0.998342256492946[/C][C]0.997923761425119[/C][/ROW]
[ROW][C]56[/C][C]46.3[/C][C]46.3711329507865[/C][C]46.4975[/C][C]0.99728228293535[/C][C]0.998466007917858[/C][/ROW]
[ROW][C]57[/C][C]46.52[/C][C]46.4799709763368[/C][C]46.5229166666667[/C][C]0.999076891703985[/C][C]1.00086121016908[/C][/ROW]
[ROW][C]58[/C][C]46.66[/C][C]46.6497222132216[/C][C]46.5495833333333[/C][C]1.00215123042394[/C][C]1.00022031828467[/C][/ROW]
[ROW][C]59[/C][C]46.67[/C][C]46.7031761439308[/C][C]46.6004166666667[/C][C]1.00220511928035[/C][C]0.999289638378586[/C][/ROW]
[ROW][C]60[/C][C]46.72[/C][C]46.7122125542496[/C][C]46.6620833333333[/C][C]1.00107430310298[/C][C]1.00016671113023[/C][/ROW]
[ROW][C]61[/C][C]46.72[/C][C]46.7217868097019[/C][C]46.7229166666667[/C][C]0.99997581792736[/C][C]0.999961756391955[/C][/ROW]
[ROW][C]62[/C][C]46.72[/C][C]46.7246974141240[/C][C]46.79[/C][C]0.998604347384568[/C][C]0.999899466141379[/C][/ROW]
[ROW][C]63[/C][C]46.76[/C][C]46.8908663742605[/C][C]46.8558333333333[/C][C]1.00074767725670[/C][C]0.9972091286773[/C][/ROW]
[ROW][C]64[/C][C]46.89[/C][C]46.975493849361[/C][C]46.9325[/C][C]1.00091607839687[/C][C]0.998180032984109[/C][/ROW]
[ROW][C]65[/C][C]47.04[/C][C]47.0357646332735[/C][C]47.0304166666667[/C][C]1.00011371293273[/C][C]1.00009004566545[/C][/ROW]
[ROW][C]66[/C][C]47.02[/C][C]47.1073360609231[/C][C]47.1304166666667[/C][C]0.999510282162221[/C][C]0.998146019957272[/C][/ROW]
[ROW][C]67[/C][C]47.02[/C][C]NA[/C][C]NA[/C][C]0.998342256492946[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]47.18[/C][C]NA[/C][C]NA[/C][C]0.99728228293535[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]47.22[/C][C]NA[/C][C]NA[/C][C]0.999076891703985[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]47.8[/C][C]NA[/C][C]NA[/C][C]1.00215123042394[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]47.88[/C][C]NA[/C][C]NA[/C][C]1.00220511928035[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]47.91[/C][C]NA[/C][C]NA[/C][C]1.00107430310298[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13046&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13046&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	44.13	NA	NA	0.99997581792736	NA
2	44.13	NA	NA	0.998604347384568	NA
3	44.17	NA	NA	1.00074767725670	NA
4	44.14	NA	NA	1.00091607839687	NA
5	44.15	NA	NA	1.00011371293273	NA
6	44.14	NA	NA	0.999510282162221	NA
7	44.14	44.1167443144233	44.19	0.998342256492946	1.00052713965951
8	44.14	44.0823701114498	44.2025	0.99728228293535	1.00130732282326
9	44.19	44.1712707924242	44.2120833333333	0.999076891703985	1.00042401332902
10	44.29	44.3188854764606	44.22375	1.00215123042394	0.999348235494868
11	44.29	44.3363017205637	44.23875	1.00220511928035	0.99895567021229
12	44.29	44.3017090552363	44.2541666666667	1.00107430310298	0.999735697437278
13	44.29	44.2697627728259	44.2708333333333	0.99997581792736	1.00045713430356
14	44.27	44.2256900347941	44.2875	0.998604347384568	1.00100190557052
15	44.26	44.3364579280628	44.3033333333333	1.00074767725670	0.99827550662286
16	44.33	44.3589324010852	44.3183333333333	1.00091607839687	0.999347766063808
17	44.32	44.3400414628727	44.335	1.00011371293273	0.999548005319538
18	44.34	44.3316127148351	44.3533333333333	0.999510282162221	1.00018919422623
19	44.34	44.2981098243528	44.3716666666667	0.998342256492946	1.00094564250740
20	44.34	44.2706071423539	44.39125	0.99728228293535	1.00156747020485
21	44.37	44.378995529491	44.42	0.999076891703985	0.999797302093396
22	44.47	44.5552261416355	44.4595833333333	1.00215123042394	0.998087179686517
23	44.51	44.6031388335721	44.505	1.00220511928035	0.997911832305802
24	44.51	44.6024484604601	44.5545833333333	1.00107430310298	0.997927278352396
25	44.51	44.6039213586499	44.605	0.99997581792736	0.997894325077503
26	44.52	44.5926771324579	44.655	0.998604347384568	0.99837020028553
27	44.7	44.7359230425678	44.7025	1.00074767725670	0.999196997845924
28	44.84	44.7997525239459	44.75875	1.00091607839687	1.00089838612463
29	44.9	44.8330141805391	44.8279166666667	1.00011371293273	1.00149411813337
30	44.95	44.8759293559959	44.8979166666667	0.999510282162221	1.00165056512627
31	44.94	44.8925394429063	44.9670833333333	0.998342256492946	1.00105720366196
32	44.94	44.9134386805626	45.0358333333333	0.99728228293535	1.00059138913024
33	44.91	45.0592003799261	45.1008333333333	0.999076891703985	0.996688792107536
34	45.28	45.2613251960717	45.1641666666667	1.00215123042394	1.00041259958358
35	45.36	45.3318254723822	45.2320833333333	1.00220511928035	1.00062151760544
36	45.34	45.3503343877366	45.3016666666667	1.00107430310298	0.99977212102455
37	45.34	45.3693195159552	45.3704166666667	0.99997581792736	0.999353758966016
38	45.34	45.37616546001	45.4395833333333	0.998604347384568	0.99920298554002
39	45.44	45.557370094316	45.5233333333333	1.00074767725670	0.997423685913542
40	45.62	45.6547016742432	45.6129166666667	1.00091607839687	0.999239910174186
41	45.75	45.6997793984142	45.6945833333333	1.00011371293273	1.00109892437659
42	45.77	45.7550819416811	45.7775	0.999510282162221	1.00032604156054
43	45.77	45.7848078346469	45.8608333333333	0.998342256492946	0.999676577551655
44	45.77	45.8168102151882	45.9416666666667	0.99728228293535	0.998978317893184
45	46.09	45.9862604790198	46.02875	0.999076891703985	1.00225588077612
46	46.25	46.2091932348477	46.11	1.00215123042394	1.00088308759136
47	46.35	46.2676345025102	46.1658333333333	1.00220511928035	1.0017801968563
48	46.34	46.2596435463885	46.21	1.00107430310298	1.00173707463895
49	46.34	46.2522148318669	46.2533333333333	0.99997581792736	1.00189796679904
50	46.28	46.2324686878923	46.2970833333333	0.998604347384568	1.00102809375006
51	46.59	46.3717285166836	46.3370833333333	1.00074767725670	1.0047069947638
52	46.42	46.4145637970928	46.3720833333333	1.00091607839687	1.00011712278351
53	46.29	46.4077765643611	46.4025	1.00011371293273	0.997462137316624
54	46.29	46.4089282512622	46.4316666666667	0.999510282162221	0.997437384233087
55	46.29	46.3863090441839	46.4633333333333	0.998342256492946	0.997923761425119
56	46.3	46.3711329507865	46.4975	0.99728228293535	0.998466007917858
57	46.52	46.4799709763368	46.5229166666667	0.999076891703985	1.00086121016908
58	46.66	46.6497222132216	46.5495833333333	1.00215123042394	1.00022031828467
59	46.67	46.7031761439308	46.6004166666667	1.00220511928035	0.999289638378586
60	46.72	46.7122125542496	46.6620833333333	1.00107430310298	1.00016671113023
61	46.72	46.7217868097019	46.7229166666667	0.99997581792736	0.999961756391955
62	46.72	46.7246974141240	46.79	0.998604347384568	0.999899466141379
63	46.76	46.8908663742605	46.8558333333333	1.00074767725670	0.9972091286773
64	46.89	46.975493849361	46.9325	1.00091607839687	0.998180032984109
65	47.04	47.0357646332735	47.0304166666667	1.00011371293273	1.00009004566545
66	47.02	47.1073360609231	47.1304166666667	0.999510282162221	0.998146019957272
67	47.02	NA	NA	0.998342256492946	NA
68	47.18	NA	NA	0.99728228293535	NA
69	47.22	NA	NA	0.999076891703985	NA
70	47.8	NA	NA	1.00215123042394	NA
71	47.88	NA	NA	1.00220511928035	NA
72	47.91	NA	NA	1.00107430310298	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 <- 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