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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Sat, 31 May 2008 14:24:45 -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/31/t121226584675fykq61bp1anp8.htm/, Retrieved Wed, 15 May 2024 21:38:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13633, Retrieved Wed, 15 May 2024 21:38:30 +0000

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IsPrivate?

No (this computation is public)

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Estimated Impact

164

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

-       [Classical Decomposition] [Classical Decompo...] [2008-05-31 20:24:45] [b3f4824a747975de0748bc1b396f9742] [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	6 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 6 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13633&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13633&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13633&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	6 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	38	NA	NA	0.99909714446951	NA
2	38	NA	NA	0.998677364269339	NA
3	37.93	NA	NA	0.998831856288834	NA
4	38	NA	NA	1.00095573525070	NA
5	38.02	NA	NA	1.00163610137355	NA
6	38.02	NA	NA	1.00127309669591	NA
7	38.02	38.0260303594107	37.9916666666667	1.00090450606038	0.999841414963548
8	37.96	37.9981124913608	37.9920833333333	1.00015869511484	0.998996989880236
9	37.96	37.9713782145421	37.9979166666667	0.999301581390439	0.999700347601875
10	37.99	37.997728812713	38.0041666666667	0.999830601365105	0.999796598034817
11	38	37.9944197935946	38.00625	0.999688729974534	1.00014686910435
12	38	37.9952412245236	38.00875	0.999644587746864	1.00012524661834
13	38	37.9769313327167	38.01125	0.99909714446951	1.00060743894975
14	38.01	37.9659683494043	38.01625	0.998677364269339	1.00115976629887
15	38.06	37.9785004356823	38.0229166666667	0.998831856288834	1.00214593950216
16	38.02	38.0617588977974	38.0254166666667	1.00095573525070	0.998902864738607
17	38.05	38.0884647998559	38.02625	1.00163610137355	0.998990119448026
18	38.05	38.0775814730983	38.0291666666667	1.00127309669591	0.999275650605126
19	38.05	38.0669006267415	38.0325	1.00090450606038	0.999556028295889
20	38.05	38.0431196326409	38.0370833333333	1.00015869511484	1.00018085707548
21	38.03	38.0167631613636	38.0433333333333	0.999301581390439	1.0003481842623
22	37.98	38.0548024762076	38.06125	0.999830601365105	0.998034348588345
23	38.03	38.0823090944382	38.0941666666667	0.999688729974534	0.998626420096835
24	38.04	38.1197802794137	38.1333333333333	0.999644587746864	0.997907115968955
25	38.04	38.1405334901235	38.175	0.99909714446951	0.997364129944602
26	38.08	38.1661199378266	38.2166666666667	0.998677364269339	0.997743550091891
27	38.14	38.2115612021497	38.25625	0.998831856288834	0.998127236891183
28	38.37	38.3336852058739	38.2970833333333	1.00095573525070	1.00094733375962
29	38.49	38.400641384784	38.3379166666667	1.00163610137355	1.00232700840386
30	38.55	38.4238550857056	38.375	1.00127309669591	1.00328298433390
31	38.55	38.4464102519560	38.4116666666667	1.00090450606038	1.00269439324413
32	38.55	38.4506843009002	38.4445833333333	1.00015869511484	1.00258293710256
33	38.48	38.4443809630669	38.47125	0.999301581390439	1.00092650827093
34	38.51	38.4801470778717	38.4866666666667	0.999830601365105	1.00077580062436
35	38.48	38.477602679749	38.4895833333333	0.999688729974534	1.00006230430391
36	38.48	38.4721549965945	38.4858333333333	0.999644587746864	1.00020391380223
37	38.48	38.444425538233	38.4791666666667	0.99909714446951	1.00092534772646
38	38.43	38.4195343190099	38.4704166666667	0.998677364269339	1.00027240520156
39	38.43	38.4229806117308	38.4679166666667	0.998831856288834	1.00018268723970
40	38.45	38.5096865893221	38.4729166666667	1.00095573525070	0.99845008893584
41	38.48	38.5417051357274	38.47875	1.00163610137355	0.998399003481809
42	38.47	38.5352467177131	38.48625	1.00127309669591	0.998306830154974
43	38.47	38.5285678301618	38.49375	1.00090450606038	0.998479885615785
44	38.42	38.5094436242382	38.5033333333333	1.00015869511484	0.997677358699051
45	38.55	38.4901822855473	38.5170833333333	0.999301581390439	1.00155410317387
46	38.56	38.5301386079399	38.5366666666667	0.999830601365105	1.00077501387586
47	38.57	38.5471643538764	38.5591666666667	0.999688729974534	1.0005924079373
48	38.57	38.5650386395393	38.57875	0.999644587746864	1.00012864917645
49	38.57	38.5618194527082	38.5966666666667	0.99909714446951	1.00021214111284
50	38.57	38.5660069991028	38.6170833333333	0.998677364269339	1.00010353679854
51	38.62	38.5857069683179	38.6308333333333	0.998831856288834	1.00088874960125
52	38.73	38.6790149345354	38.6420833333333	1.00095573525070	1.00131815832308
53	38.74	38.7228343307258	38.6595833333333	1.00163610137355	1.00044329578583
54	38.68	38.7275745917034	38.6783333333333	1.00127309669591	0.998771557676798
55	38.69	38.73333621036	38.6983333333333	1.00090450606038	0.998881165047992
56	38.69	38.7244777436879	38.7183333333333	1.00015869511484	0.999109665366797
57	38.61	38.7071140038408	38.7341666666667	0.999301581390439	0.997491055421203
58	38.77	38.7417694185622	38.7483333333333	0.999830601365105	1.00072868590830
59	38.78	38.7533501544336	38.7654166666667	0.999688729974534	1.00068767849644
60	38.81	38.7724648914968	38.78625	0.999644587746864	1.00096808672361
61	38.81	38.7749601768617	38.81	0.99909714446951	1.00090367141523
62	38.81	38.7815548635575	38.8329166666667	0.998677364269339	1.00073347075801
63	38.76	38.8116926758032	38.8570833333333	0.998831856288834	0.998668115914577
64	38.93	38.914656597209	38.8775	1.00095573525070	1.00039428339173
65	38.95	38.9557147242952	38.8920833333333	1.00163610137355	0.999853302029352
66	38.97	38.9553642212017	38.9058333333333	1.00127309669591	1.00037570637808
67	38.97	38.9543692887817	38.9191666666667	1.00090450606038	1.00040125694508
68	38.96	38.9420122598754	38.9358333333333	1.00015869511484	1.00046191090498
69	38.92	38.9319568596537	38.9591666666667	0.999301581390439	0.999692878020574
70	38.95	38.9617321508625	38.9683333333333	0.999830601365105	0.999698880152014
71	38.95	38.9482894567787	38.9604166666667	0.999688729974534	1.00004391831439
72	38.97	38.9386558042097	38.9525	0.999644587746864	1.00080496347763
73	38.97	38.9090057104113	38.9441666666667	0.99909714446951	1.00156761367902
74	39.05	38.8797581377107	38.93125	0.998677364269339	1.00437867596003
75	39.08	38.8745358467614	38.92	0.998831856288834	1.00528531463497
76	38.83	38.9538606968396	38.9166666666667	1.00095573525070	0.996820322950694
77	38.86	38.9799209300784	38.91625	1.00163610137355	0.996923520437779
78	38.87	38.9653769521687	38.9158333333333	1.00127309669591	0.997552264096257
79	38.87	NA	NA	1.00090450606038	NA
80	38.75	NA	NA	1.00015869511484	NA
81	38.86	NA	NA	0.999301581390439	NA
82	38.93	NA	NA	0.999830601365105	NA
83	38.96	NA	NA	0.999688729974534	NA
84	38.95	NA	NA	0.999644587746864	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 38 & NA & NA & 0.99909714446951 & NA \tabularnewline
2 & 38 & NA & NA & 0.998677364269339 & NA \tabularnewline
3 & 37.93 & NA & NA & 0.998831856288834 & NA \tabularnewline
4 & 38 & NA & NA & 1.00095573525070 & NA \tabularnewline
5 & 38.02 & NA & NA & 1.00163610137355 & NA \tabularnewline
6 & 38.02 & NA & NA & 1.00127309669591 & NA \tabularnewline
7 & 38.02 & 38.0260303594107 & 37.9916666666667 & 1.00090450606038 & 0.999841414963548 \tabularnewline
8 & 37.96 & 37.9981124913608 & 37.9920833333333 & 1.00015869511484 & 0.998996989880236 \tabularnewline
9 & 37.96 & 37.9713782145421 & 37.9979166666667 & 0.999301581390439 & 0.999700347601875 \tabularnewline
10 & 37.99 & 37.997728812713 & 38.0041666666667 & 0.999830601365105 & 0.999796598034817 \tabularnewline
11 & 38 & 37.9944197935946 & 38.00625 & 0.999688729974534 & 1.00014686910435 \tabularnewline
12 & 38 & 37.9952412245236 & 38.00875 & 0.999644587746864 & 1.00012524661834 \tabularnewline
13 & 38 & 37.9769313327167 & 38.01125 & 0.99909714446951 & 1.00060743894975 \tabularnewline
14 & 38.01 & 37.9659683494043 & 38.01625 & 0.998677364269339 & 1.00115976629887 \tabularnewline
15 & 38.06 & 37.9785004356823 & 38.0229166666667 & 0.998831856288834 & 1.00214593950216 \tabularnewline
16 & 38.02 & 38.0617588977974 & 38.0254166666667 & 1.00095573525070 & 0.998902864738607 \tabularnewline
17 & 38.05 & 38.0884647998559 & 38.02625 & 1.00163610137355 & 0.998990119448026 \tabularnewline
18 & 38.05 & 38.0775814730983 & 38.0291666666667 & 1.00127309669591 & 0.999275650605126 \tabularnewline
19 & 38.05 & 38.0669006267415 & 38.0325 & 1.00090450606038 & 0.999556028295889 \tabularnewline
20 & 38.05 & 38.0431196326409 & 38.0370833333333 & 1.00015869511484 & 1.00018085707548 \tabularnewline
21 & 38.03 & 38.0167631613636 & 38.0433333333333 & 0.999301581390439 & 1.0003481842623 \tabularnewline
22 & 37.98 & 38.0548024762076 & 38.06125 & 0.999830601365105 & 0.998034348588345 \tabularnewline
23 & 38.03 & 38.0823090944382 & 38.0941666666667 & 0.999688729974534 & 0.998626420096835 \tabularnewline
24 & 38.04 & 38.1197802794137 & 38.1333333333333 & 0.999644587746864 & 0.997907115968955 \tabularnewline
25 & 38.04 & 38.1405334901235 & 38.175 & 0.99909714446951 & 0.997364129944602 \tabularnewline
26 & 38.08 & 38.1661199378266 & 38.2166666666667 & 0.998677364269339 & 0.997743550091891 \tabularnewline
27 & 38.14 & 38.2115612021497 & 38.25625 & 0.998831856288834 & 0.998127236891183 \tabularnewline
28 & 38.37 & 38.3336852058739 & 38.2970833333333 & 1.00095573525070 & 1.00094733375962 \tabularnewline
29 & 38.49 & 38.400641384784 & 38.3379166666667 & 1.00163610137355 & 1.00232700840386 \tabularnewline
30 & 38.55 & 38.4238550857056 & 38.375 & 1.00127309669591 & 1.00328298433390 \tabularnewline
31 & 38.55 & 38.4464102519560 & 38.4116666666667 & 1.00090450606038 & 1.00269439324413 \tabularnewline
32 & 38.55 & 38.4506843009002 & 38.4445833333333 & 1.00015869511484 & 1.00258293710256 \tabularnewline
33 & 38.48 & 38.4443809630669 & 38.47125 & 0.999301581390439 & 1.00092650827093 \tabularnewline
34 & 38.51 & 38.4801470778717 & 38.4866666666667 & 0.999830601365105 & 1.00077580062436 \tabularnewline
35 & 38.48 & 38.477602679749 & 38.4895833333333 & 0.999688729974534 & 1.00006230430391 \tabularnewline
36 & 38.48 & 38.4721549965945 & 38.4858333333333 & 0.999644587746864 & 1.00020391380223 \tabularnewline
37 & 38.48 & 38.444425538233 & 38.4791666666667 & 0.99909714446951 & 1.00092534772646 \tabularnewline
38 & 38.43 & 38.4195343190099 & 38.4704166666667 & 0.998677364269339 & 1.00027240520156 \tabularnewline
39 & 38.43 & 38.4229806117308 & 38.4679166666667 & 0.998831856288834 & 1.00018268723970 \tabularnewline
40 & 38.45 & 38.5096865893221 & 38.4729166666667 & 1.00095573525070 & 0.99845008893584 \tabularnewline
41 & 38.48 & 38.5417051357274 & 38.47875 & 1.00163610137355 & 0.998399003481809 \tabularnewline
42 & 38.47 & 38.5352467177131 & 38.48625 & 1.00127309669591 & 0.998306830154974 \tabularnewline
43 & 38.47 & 38.5285678301618 & 38.49375 & 1.00090450606038 & 0.998479885615785 \tabularnewline
44 & 38.42 & 38.5094436242382 & 38.5033333333333 & 1.00015869511484 & 0.997677358699051 \tabularnewline
45 & 38.55 & 38.4901822855473 & 38.5170833333333 & 0.999301581390439 & 1.00155410317387 \tabularnewline
46 & 38.56 & 38.5301386079399 & 38.5366666666667 & 0.999830601365105 & 1.00077501387586 \tabularnewline
47 & 38.57 & 38.5471643538764 & 38.5591666666667 & 0.999688729974534 & 1.0005924079373 \tabularnewline
48 & 38.57 & 38.5650386395393 & 38.57875 & 0.999644587746864 & 1.00012864917645 \tabularnewline
49 & 38.57 & 38.5618194527082 & 38.5966666666667 & 0.99909714446951 & 1.00021214111284 \tabularnewline
50 & 38.57 & 38.5660069991028 & 38.6170833333333 & 0.998677364269339 & 1.00010353679854 \tabularnewline
51 & 38.62 & 38.5857069683179 & 38.6308333333333 & 0.998831856288834 & 1.00088874960125 \tabularnewline
52 & 38.73 & 38.6790149345354 & 38.6420833333333 & 1.00095573525070 & 1.00131815832308 \tabularnewline
53 & 38.74 & 38.7228343307258 & 38.6595833333333 & 1.00163610137355 & 1.00044329578583 \tabularnewline
54 & 38.68 & 38.7275745917034 & 38.6783333333333 & 1.00127309669591 & 0.998771557676798 \tabularnewline
55 & 38.69 & 38.73333621036 & 38.6983333333333 & 1.00090450606038 & 0.998881165047992 \tabularnewline
56 & 38.69 & 38.7244777436879 & 38.7183333333333 & 1.00015869511484 & 0.999109665366797 \tabularnewline
57 & 38.61 & 38.7071140038408 & 38.7341666666667 & 0.999301581390439 & 0.997491055421203 \tabularnewline
58 & 38.77 & 38.7417694185622 & 38.7483333333333 & 0.999830601365105 & 1.00072868590830 \tabularnewline
59 & 38.78 & 38.7533501544336 & 38.7654166666667 & 0.999688729974534 & 1.00068767849644 \tabularnewline
60 & 38.81 & 38.7724648914968 & 38.78625 & 0.999644587746864 & 1.00096808672361 \tabularnewline
61 & 38.81 & 38.7749601768617 & 38.81 & 0.99909714446951 & 1.00090367141523 \tabularnewline
62 & 38.81 & 38.7815548635575 & 38.8329166666667 & 0.998677364269339 & 1.00073347075801 \tabularnewline
63 & 38.76 & 38.8116926758032 & 38.8570833333333 & 0.998831856288834 & 0.998668115914577 \tabularnewline
64 & 38.93 & 38.914656597209 & 38.8775 & 1.00095573525070 & 1.00039428339173 \tabularnewline
65 & 38.95 & 38.9557147242952 & 38.8920833333333 & 1.00163610137355 & 0.999853302029352 \tabularnewline
66 & 38.97 & 38.9553642212017 & 38.9058333333333 & 1.00127309669591 & 1.00037570637808 \tabularnewline
67 & 38.97 & 38.9543692887817 & 38.9191666666667 & 1.00090450606038 & 1.00040125694508 \tabularnewline
68 & 38.96 & 38.9420122598754 & 38.9358333333333 & 1.00015869511484 & 1.00046191090498 \tabularnewline
69 & 38.92 & 38.9319568596537 & 38.9591666666667 & 0.999301581390439 & 0.999692878020574 \tabularnewline
70 & 38.95 & 38.9617321508625 & 38.9683333333333 & 0.999830601365105 & 0.999698880152014 \tabularnewline
71 & 38.95 & 38.9482894567787 & 38.9604166666667 & 0.999688729974534 & 1.00004391831439 \tabularnewline
72 & 38.97 & 38.9386558042097 & 38.9525 & 0.999644587746864 & 1.00080496347763 \tabularnewline
73 & 38.97 & 38.9090057104113 & 38.9441666666667 & 0.99909714446951 & 1.00156761367902 \tabularnewline
74 & 39.05 & 38.8797581377107 & 38.93125 & 0.998677364269339 & 1.00437867596003 \tabularnewline
75 & 39.08 & 38.8745358467614 & 38.92 & 0.998831856288834 & 1.00528531463497 \tabularnewline
76 & 38.83 & 38.9538606968396 & 38.9166666666667 & 1.00095573525070 & 0.996820322950694 \tabularnewline
77 & 38.86 & 38.9799209300784 & 38.91625 & 1.00163610137355 & 0.996923520437779 \tabularnewline
78 & 38.87 & 38.9653769521687 & 38.9158333333333 & 1.00127309669591 & 0.997552264096257 \tabularnewline
79 & 38.87 & NA & NA & 1.00090450606038 & NA \tabularnewline
80 & 38.75 & NA & NA & 1.00015869511484 & NA \tabularnewline
81 & 38.86 & NA & NA & 0.999301581390439 & NA \tabularnewline
82 & 38.93 & NA & NA & 0.999830601365105 & NA \tabularnewline
83 & 38.96 & NA & NA & 0.999688729974534 & NA \tabularnewline
84 & 38.95 & NA & NA & 0.999644587746864 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13633&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]38[/C][C]NA[/C][C]NA[/C][C]0.99909714446951[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]38[/C][C]NA[/C][C]NA[/C][C]0.998677364269339[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]37.93[/C][C]NA[/C][C]NA[/C][C]0.998831856288834[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]38[/C][C]NA[/C][C]NA[/C][C]1.00095573525070[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]38.02[/C][C]NA[/C][C]NA[/C][C]1.00163610137355[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]38.02[/C][C]NA[/C][C]NA[/C][C]1.00127309669591[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]38.02[/C][C]38.0260303594107[/C][C]37.9916666666667[/C][C]1.00090450606038[/C][C]0.999841414963548[/C][/ROW]
[ROW][C]8[/C][C]37.96[/C][C]37.9981124913608[/C][C]37.9920833333333[/C][C]1.00015869511484[/C][C]0.998996989880236[/C][/ROW]
[ROW][C]9[/C][C]37.96[/C][C]37.9713782145421[/C][C]37.9979166666667[/C][C]0.999301581390439[/C][C]0.999700347601875[/C][/ROW]
[ROW][C]10[/C][C]37.99[/C][C]37.997728812713[/C][C]38.0041666666667[/C][C]0.999830601365105[/C][C]0.999796598034817[/C][/ROW]
[ROW][C]11[/C][C]38[/C][C]37.9944197935946[/C][C]38.00625[/C][C]0.999688729974534[/C][C]1.00014686910435[/C][/ROW]
[ROW][C]12[/C][C]38[/C][C]37.9952412245236[/C][C]38.00875[/C][C]0.999644587746864[/C][C]1.00012524661834[/C][/ROW]
[ROW][C]13[/C][C]38[/C][C]37.9769313327167[/C][C]38.01125[/C][C]0.99909714446951[/C][C]1.00060743894975[/C][/ROW]
[ROW][C]14[/C][C]38.01[/C][C]37.9659683494043[/C][C]38.01625[/C][C]0.998677364269339[/C][C]1.00115976629887[/C][/ROW]
[ROW][C]15[/C][C]38.06[/C][C]37.9785004356823[/C][C]38.0229166666667[/C][C]0.998831856288834[/C][C]1.00214593950216[/C][/ROW]
[ROW][C]16[/C][C]38.02[/C][C]38.0617588977974[/C][C]38.0254166666667[/C][C]1.00095573525070[/C][C]0.998902864738607[/C][/ROW]
[ROW][C]17[/C][C]38.05[/C][C]38.0884647998559[/C][C]38.02625[/C][C]1.00163610137355[/C][C]0.998990119448026[/C][/ROW]
[ROW][C]18[/C][C]38.05[/C][C]38.0775814730983[/C][C]38.0291666666667[/C][C]1.00127309669591[/C][C]0.999275650605126[/C][/ROW]
[ROW][C]19[/C][C]38.05[/C][C]38.0669006267415[/C][C]38.0325[/C][C]1.00090450606038[/C][C]0.999556028295889[/C][/ROW]
[ROW][C]20[/C][C]38.05[/C][C]38.0431196326409[/C][C]38.0370833333333[/C][C]1.00015869511484[/C][C]1.00018085707548[/C][/ROW]
[ROW][C]21[/C][C]38.03[/C][C]38.0167631613636[/C][C]38.0433333333333[/C][C]0.999301581390439[/C][C]1.0003481842623[/C][/ROW]
[ROW][C]22[/C][C]37.98[/C][C]38.0548024762076[/C][C]38.06125[/C][C]0.999830601365105[/C][C]0.998034348588345[/C][/ROW]
[ROW][C]23[/C][C]38.03[/C][C]38.0823090944382[/C][C]38.0941666666667[/C][C]0.999688729974534[/C][C]0.998626420096835[/C][/ROW]
[ROW][C]24[/C][C]38.04[/C][C]38.1197802794137[/C][C]38.1333333333333[/C][C]0.999644587746864[/C][C]0.997907115968955[/C][/ROW]
[ROW][C]25[/C][C]38.04[/C][C]38.1405334901235[/C][C]38.175[/C][C]0.99909714446951[/C][C]0.997364129944602[/C][/ROW]
[ROW][C]26[/C][C]38.08[/C][C]38.1661199378266[/C][C]38.2166666666667[/C][C]0.998677364269339[/C][C]0.997743550091891[/C][/ROW]
[ROW][C]27[/C][C]38.14[/C][C]38.2115612021497[/C][C]38.25625[/C][C]0.998831856288834[/C][C]0.998127236891183[/C][/ROW]
[ROW][C]28[/C][C]38.37[/C][C]38.3336852058739[/C][C]38.2970833333333[/C][C]1.00095573525070[/C][C]1.00094733375962[/C][/ROW]
[ROW][C]29[/C][C]38.49[/C][C]38.400641384784[/C][C]38.3379166666667[/C][C]1.00163610137355[/C][C]1.00232700840386[/C][/ROW]
[ROW][C]30[/C][C]38.55[/C][C]38.4238550857056[/C][C]38.375[/C][C]1.00127309669591[/C][C]1.00328298433390[/C][/ROW]
[ROW][C]31[/C][C]38.55[/C][C]38.4464102519560[/C][C]38.4116666666667[/C][C]1.00090450606038[/C][C]1.00269439324413[/C][/ROW]
[ROW][C]32[/C][C]38.55[/C][C]38.4506843009002[/C][C]38.4445833333333[/C][C]1.00015869511484[/C][C]1.00258293710256[/C][/ROW]
[ROW][C]33[/C][C]38.48[/C][C]38.4443809630669[/C][C]38.47125[/C][C]0.999301581390439[/C][C]1.00092650827093[/C][/ROW]
[ROW][C]34[/C][C]38.51[/C][C]38.4801470778717[/C][C]38.4866666666667[/C][C]0.999830601365105[/C][C]1.00077580062436[/C][/ROW]
[ROW][C]35[/C][C]38.48[/C][C]38.477602679749[/C][C]38.4895833333333[/C][C]0.999688729974534[/C][C]1.00006230430391[/C][/ROW]
[ROW][C]36[/C][C]38.48[/C][C]38.4721549965945[/C][C]38.4858333333333[/C][C]0.999644587746864[/C][C]1.00020391380223[/C][/ROW]
[ROW][C]37[/C][C]38.48[/C][C]38.444425538233[/C][C]38.4791666666667[/C][C]0.99909714446951[/C][C]1.00092534772646[/C][/ROW]
[ROW][C]38[/C][C]38.43[/C][C]38.4195343190099[/C][C]38.4704166666667[/C][C]0.998677364269339[/C][C]1.00027240520156[/C][/ROW]
[ROW][C]39[/C][C]38.43[/C][C]38.4229806117308[/C][C]38.4679166666667[/C][C]0.998831856288834[/C][C]1.00018268723970[/C][/ROW]
[ROW][C]40[/C][C]38.45[/C][C]38.5096865893221[/C][C]38.4729166666667[/C][C]1.00095573525070[/C][C]0.99845008893584[/C][/ROW]
[ROW][C]41[/C][C]38.48[/C][C]38.5417051357274[/C][C]38.47875[/C][C]1.00163610137355[/C][C]0.998399003481809[/C][/ROW]
[ROW][C]42[/C][C]38.47[/C][C]38.5352467177131[/C][C]38.48625[/C][C]1.00127309669591[/C][C]0.998306830154974[/C][/ROW]
[ROW][C]43[/C][C]38.47[/C][C]38.5285678301618[/C][C]38.49375[/C][C]1.00090450606038[/C][C]0.998479885615785[/C][/ROW]
[ROW][C]44[/C][C]38.42[/C][C]38.5094436242382[/C][C]38.5033333333333[/C][C]1.00015869511484[/C][C]0.997677358699051[/C][/ROW]
[ROW][C]45[/C][C]38.55[/C][C]38.4901822855473[/C][C]38.5170833333333[/C][C]0.999301581390439[/C][C]1.00155410317387[/C][/ROW]
[ROW][C]46[/C][C]38.56[/C][C]38.5301386079399[/C][C]38.5366666666667[/C][C]0.999830601365105[/C][C]1.00077501387586[/C][/ROW]
[ROW][C]47[/C][C]38.57[/C][C]38.5471643538764[/C][C]38.5591666666667[/C][C]0.999688729974534[/C][C]1.0005924079373[/C][/ROW]
[ROW][C]48[/C][C]38.57[/C][C]38.5650386395393[/C][C]38.57875[/C][C]0.999644587746864[/C][C]1.00012864917645[/C][/ROW]
[ROW][C]49[/C][C]38.57[/C][C]38.5618194527082[/C][C]38.5966666666667[/C][C]0.99909714446951[/C][C]1.00021214111284[/C][/ROW]
[ROW][C]50[/C][C]38.57[/C][C]38.5660069991028[/C][C]38.6170833333333[/C][C]0.998677364269339[/C][C]1.00010353679854[/C][/ROW]
[ROW][C]51[/C][C]38.62[/C][C]38.5857069683179[/C][C]38.6308333333333[/C][C]0.998831856288834[/C][C]1.00088874960125[/C][/ROW]
[ROW][C]52[/C][C]38.73[/C][C]38.6790149345354[/C][C]38.6420833333333[/C][C]1.00095573525070[/C][C]1.00131815832308[/C][/ROW]
[ROW][C]53[/C][C]38.74[/C][C]38.7228343307258[/C][C]38.6595833333333[/C][C]1.00163610137355[/C][C]1.00044329578583[/C][/ROW]
[ROW][C]54[/C][C]38.68[/C][C]38.7275745917034[/C][C]38.6783333333333[/C][C]1.00127309669591[/C][C]0.998771557676798[/C][/ROW]
[ROW][C]55[/C][C]38.69[/C][C]38.73333621036[/C][C]38.6983333333333[/C][C]1.00090450606038[/C][C]0.998881165047992[/C][/ROW]
[ROW][C]56[/C][C]38.69[/C][C]38.7244777436879[/C][C]38.7183333333333[/C][C]1.00015869511484[/C][C]0.999109665366797[/C][/ROW]
[ROW][C]57[/C][C]38.61[/C][C]38.7071140038408[/C][C]38.7341666666667[/C][C]0.999301581390439[/C][C]0.997491055421203[/C][/ROW]
[ROW][C]58[/C][C]38.77[/C][C]38.7417694185622[/C][C]38.7483333333333[/C][C]0.999830601365105[/C][C]1.00072868590830[/C][/ROW]
[ROW][C]59[/C][C]38.78[/C][C]38.7533501544336[/C][C]38.7654166666667[/C][C]0.999688729974534[/C][C]1.00068767849644[/C][/ROW]
[ROW][C]60[/C][C]38.81[/C][C]38.7724648914968[/C][C]38.78625[/C][C]0.999644587746864[/C][C]1.00096808672361[/C][/ROW]
[ROW][C]61[/C][C]38.81[/C][C]38.7749601768617[/C][C]38.81[/C][C]0.99909714446951[/C][C]1.00090367141523[/C][/ROW]
[ROW][C]62[/C][C]38.81[/C][C]38.7815548635575[/C][C]38.8329166666667[/C][C]0.998677364269339[/C][C]1.00073347075801[/C][/ROW]
[ROW][C]63[/C][C]38.76[/C][C]38.8116926758032[/C][C]38.8570833333333[/C][C]0.998831856288834[/C][C]0.998668115914577[/C][/ROW]
[ROW][C]64[/C][C]38.93[/C][C]38.914656597209[/C][C]38.8775[/C][C]1.00095573525070[/C][C]1.00039428339173[/C][/ROW]
[ROW][C]65[/C][C]38.95[/C][C]38.9557147242952[/C][C]38.8920833333333[/C][C]1.00163610137355[/C][C]0.999853302029352[/C][/ROW]
[ROW][C]66[/C][C]38.97[/C][C]38.9553642212017[/C][C]38.9058333333333[/C][C]1.00127309669591[/C][C]1.00037570637808[/C][/ROW]
[ROW][C]67[/C][C]38.97[/C][C]38.9543692887817[/C][C]38.9191666666667[/C][C]1.00090450606038[/C][C]1.00040125694508[/C][/ROW]
[ROW][C]68[/C][C]38.96[/C][C]38.9420122598754[/C][C]38.9358333333333[/C][C]1.00015869511484[/C][C]1.00046191090498[/C][/ROW]
[ROW][C]69[/C][C]38.92[/C][C]38.9319568596537[/C][C]38.9591666666667[/C][C]0.999301581390439[/C][C]0.999692878020574[/C][/ROW]
[ROW][C]70[/C][C]38.95[/C][C]38.9617321508625[/C][C]38.9683333333333[/C][C]0.999830601365105[/C][C]0.999698880152014[/C][/ROW]
[ROW][C]71[/C][C]38.95[/C][C]38.9482894567787[/C][C]38.9604166666667[/C][C]0.999688729974534[/C][C]1.00004391831439[/C][/ROW]
[ROW][C]72[/C][C]38.97[/C][C]38.9386558042097[/C][C]38.9525[/C][C]0.999644587746864[/C][C]1.00080496347763[/C][/ROW]
[ROW][C]73[/C][C]38.97[/C][C]38.9090057104113[/C][C]38.9441666666667[/C][C]0.99909714446951[/C][C]1.00156761367902[/C][/ROW]
[ROW][C]74[/C][C]39.05[/C][C]38.8797581377107[/C][C]38.93125[/C][C]0.998677364269339[/C][C]1.00437867596003[/C][/ROW]
[ROW][C]75[/C][C]39.08[/C][C]38.8745358467614[/C][C]38.92[/C][C]0.998831856288834[/C][C]1.00528531463497[/C][/ROW]
[ROW][C]76[/C][C]38.83[/C][C]38.9538606968396[/C][C]38.9166666666667[/C][C]1.00095573525070[/C][C]0.996820322950694[/C][/ROW]
[ROW][C]77[/C][C]38.86[/C][C]38.9799209300784[/C][C]38.91625[/C][C]1.00163610137355[/C][C]0.996923520437779[/C][/ROW]
[ROW][C]78[/C][C]38.87[/C][C]38.9653769521687[/C][C]38.9158333333333[/C][C]1.00127309669591[/C][C]0.997552264096257[/C][/ROW]
[ROW][C]79[/C][C]38.87[/C][C]NA[/C][C]NA[/C][C]1.00090450606038[/C][C]NA[/C][/ROW]
[ROW][C]80[/C][C]38.75[/C][C]NA[/C][C]NA[/C][C]1.00015869511484[/C][C]NA[/C][/ROW]
[ROW][C]81[/C][C]38.86[/C][C]NA[/C][C]NA[/C][C]0.999301581390439[/C][C]NA[/C][/ROW]
[ROW][C]82[/C][C]38.93[/C][C]NA[/C][C]NA[/C][C]0.999830601365105[/C][C]NA[/C][/ROW]
[ROW][C]83[/C][C]38.96[/C][C]NA[/C][C]NA[/C][C]0.999688729974534[/C][C]NA[/C][/ROW]
[ROW][C]84[/C][C]38.95[/C][C]NA[/C][C]NA[/C][C]0.999644587746864[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13633&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13633&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	38	NA	NA	0.99909714446951	NA
2	38	NA	NA	0.998677364269339	NA
3	37.93	NA	NA	0.998831856288834	NA
4	38	NA	NA	1.00095573525070	NA
5	38.02	NA	NA	1.00163610137355	NA
6	38.02	NA	NA	1.00127309669591	NA
7	38.02	38.0260303594107	37.9916666666667	1.00090450606038	0.999841414963548
8	37.96	37.9981124913608	37.9920833333333	1.00015869511484	0.998996989880236
9	37.96	37.9713782145421	37.9979166666667	0.999301581390439	0.999700347601875
10	37.99	37.997728812713	38.0041666666667	0.999830601365105	0.999796598034817
11	38	37.9944197935946	38.00625	0.999688729974534	1.00014686910435
12	38	37.9952412245236	38.00875	0.999644587746864	1.00012524661834
13	38	37.9769313327167	38.01125	0.99909714446951	1.00060743894975
14	38.01	37.9659683494043	38.01625	0.998677364269339	1.00115976629887
15	38.06	37.9785004356823	38.0229166666667	0.998831856288834	1.00214593950216
16	38.02	38.0617588977974	38.0254166666667	1.00095573525070	0.998902864738607
17	38.05	38.0884647998559	38.02625	1.00163610137355	0.998990119448026
18	38.05	38.0775814730983	38.0291666666667	1.00127309669591	0.999275650605126
19	38.05	38.0669006267415	38.0325	1.00090450606038	0.999556028295889
20	38.05	38.0431196326409	38.0370833333333	1.00015869511484	1.00018085707548
21	38.03	38.0167631613636	38.0433333333333	0.999301581390439	1.0003481842623
22	37.98	38.0548024762076	38.06125	0.999830601365105	0.998034348588345
23	38.03	38.0823090944382	38.0941666666667	0.999688729974534	0.998626420096835
24	38.04	38.1197802794137	38.1333333333333	0.999644587746864	0.997907115968955
25	38.04	38.1405334901235	38.175	0.99909714446951	0.997364129944602
26	38.08	38.1661199378266	38.2166666666667	0.998677364269339	0.997743550091891
27	38.14	38.2115612021497	38.25625	0.998831856288834	0.998127236891183
28	38.37	38.3336852058739	38.2970833333333	1.00095573525070	1.00094733375962
29	38.49	38.400641384784	38.3379166666667	1.00163610137355	1.00232700840386
30	38.55	38.4238550857056	38.375	1.00127309669591	1.00328298433390
31	38.55	38.4464102519560	38.4116666666667	1.00090450606038	1.00269439324413
32	38.55	38.4506843009002	38.4445833333333	1.00015869511484	1.00258293710256
33	38.48	38.4443809630669	38.47125	0.999301581390439	1.00092650827093
34	38.51	38.4801470778717	38.4866666666667	0.999830601365105	1.00077580062436
35	38.48	38.477602679749	38.4895833333333	0.999688729974534	1.00006230430391
36	38.48	38.4721549965945	38.4858333333333	0.999644587746864	1.00020391380223
37	38.48	38.444425538233	38.4791666666667	0.99909714446951	1.00092534772646
38	38.43	38.4195343190099	38.4704166666667	0.998677364269339	1.00027240520156
39	38.43	38.4229806117308	38.4679166666667	0.998831856288834	1.00018268723970
40	38.45	38.5096865893221	38.4729166666667	1.00095573525070	0.99845008893584
41	38.48	38.5417051357274	38.47875	1.00163610137355	0.998399003481809
42	38.47	38.5352467177131	38.48625	1.00127309669591	0.998306830154974
43	38.47	38.5285678301618	38.49375	1.00090450606038	0.998479885615785
44	38.42	38.5094436242382	38.5033333333333	1.00015869511484	0.997677358699051
45	38.55	38.4901822855473	38.5170833333333	0.999301581390439	1.00155410317387
46	38.56	38.5301386079399	38.5366666666667	0.999830601365105	1.00077501387586
47	38.57	38.5471643538764	38.5591666666667	0.999688729974534	1.0005924079373
48	38.57	38.5650386395393	38.57875	0.999644587746864	1.00012864917645
49	38.57	38.5618194527082	38.5966666666667	0.99909714446951	1.00021214111284
50	38.57	38.5660069991028	38.6170833333333	0.998677364269339	1.00010353679854
51	38.62	38.5857069683179	38.6308333333333	0.998831856288834	1.00088874960125
52	38.73	38.6790149345354	38.6420833333333	1.00095573525070	1.00131815832308
53	38.74	38.7228343307258	38.6595833333333	1.00163610137355	1.00044329578583
54	38.68	38.7275745917034	38.6783333333333	1.00127309669591	0.998771557676798
55	38.69	38.73333621036	38.6983333333333	1.00090450606038	0.998881165047992
56	38.69	38.7244777436879	38.7183333333333	1.00015869511484	0.999109665366797
57	38.61	38.7071140038408	38.7341666666667	0.999301581390439	0.997491055421203
58	38.77	38.7417694185622	38.7483333333333	0.999830601365105	1.00072868590830
59	38.78	38.7533501544336	38.7654166666667	0.999688729974534	1.00068767849644
60	38.81	38.7724648914968	38.78625	0.999644587746864	1.00096808672361
61	38.81	38.7749601768617	38.81	0.99909714446951	1.00090367141523
62	38.81	38.7815548635575	38.8329166666667	0.998677364269339	1.00073347075801
63	38.76	38.8116926758032	38.8570833333333	0.998831856288834	0.998668115914577
64	38.93	38.914656597209	38.8775	1.00095573525070	1.00039428339173
65	38.95	38.9557147242952	38.8920833333333	1.00163610137355	0.999853302029352
66	38.97	38.9553642212017	38.9058333333333	1.00127309669591	1.00037570637808
67	38.97	38.9543692887817	38.9191666666667	1.00090450606038	1.00040125694508
68	38.96	38.9420122598754	38.9358333333333	1.00015869511484	1.00046191090498
69	38.92	38.9319568596537	38.9591666666667	0.999301581390439	0.999692878020574
70	38.95	38.9617321508625	38.9683333333333	0.999830601365105	0.999698880152014
71	38.95	38.9482894567787	38.9604166666667	0.999688729974534	1.00004391831439
72	38.97	38.9386558042097	38.9525	0.999644587746864	1.00080496347763
73	38.97	38.9090057104113	38.9441666666667	0.99909714446951	1.00156761367902
74	39.05	38.8797581377107	38.93125	0.998677364269339	1.00437867596003
75	39.08	38.8745358467614	38.92	0.998831856288834	1.00528531463497
76	38.83	38.9538606968396	38.9166666666667	1.00095573525070	0.996820322950694
77	38.86	38.9799209300784	38.91625	1.00163610137355	0.996923520437779
78	38.87	38.9653769521687	38.9158333333333	1.00127309669591	0.997552264096257
79	38.87	NA	NA	1.00090450606038	NA
80	38.75	NA	NA	1.00015869511484	NA
81	38.86	NA	NA	0.999301581390439	NA
82	38.93	NA	NA	0.999830601365105	NA
83	38.96	NA	NA	0.999688729974534	NA
84	38.95	NA	NA	0.999644587746864	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