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rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Fri, 04 Dec 2009 05:04:40 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/04/t12599284393tzkzy5d1g8athx.htm/, Retrieved Sun, 28 Apr 2024 05:35:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63352, Retrieved Sun, 28 Apr 2024 05:35:15 +0000

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Estimated Impact

146

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

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Classical Decomposition] [] [2009-11-27 14:58:37] [b98453cac15ba1066b407e146608df68]
-   PD    [Classical Decomposition] [BBWS9-populartheory1] [2009-12-01 20:46:35] [408e92805dcb18620260f240a7fb9d53]
-   PD        [Classical Decomposition] [workshop 9] [2009-12-04 12:04:40] [6c94b261890ba36343a04d1029691995] [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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63352&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63352&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63352&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	283.042	NA	NA	1.01112979103349	NA
2	276.687	NA	NA	0.99084022032972	NA
3	277.915	NA	NA	1.00098477841217	NA
4	277.128	NA	NA	1.01098799963399	NA
5	277.103	NA	NA	1.00646333652994	NA
6	275.037	NA	NA	0.990726073753508	NA
7	270.15	272.816853699805	278.542666666667	0.979443677209733	0.990224747248425
8	267.14	267.679670971462	278.956583333333	0.959574668476649	0.997983892577634
9	264.993	264.752532107580	279.353708333333	0.9477322985513	1.00090827419291
10	287.259	288.163595661712	279.678833333333	1.03033752045964	0.99686082601921
11	291.186	290.680796618511	279.944125	1.03835290924041	1.00173800053999
12	292.3	289.521516082251	280.156791666667	1.03342672636945	1.00959681323636
13	288.186	283.564103465173	280.442833333333	1.01112979103349	1.01629930050506
14	281.477	278.380936112608	280.954416666667	0.99084022032972	1.01112168071071
15	282.656	281.795399679833	281.518166666667	1.00098477841217	1.00305398995564
16	280.19	284.984753373325	281.887375	1.01098799963399	0.983175403888909
17	280.408	283.796660598584	281.974166666667	1.00646333652994	0.988059547313078
18	276.836	279.34017012517	281.955	0.990726073753508	0.99103540989451
19	275.216	275.763999724529	281.551666666667	0.979443677209733	0.998012794545059
20	274.352	269.316985231828	280.662875	0.959574668476649	1.01869549654968
21	271.311	264.869971934908	279.477625	0.9477322985513	1.02431769829565
22	289.802	286.756326331685	278.313	1.03033752045964	1.01062112110054
23	290.726	287.802179501165	277.171833333333	1.03835290924041	1.01015913258163
24	292.3	284.806119108168	275.593916666667	1.03342672636945	1.02631221869565
25	278.506	276.828504492612	273.781375	1.01112979103349	1.00605969212044
26	269.826	269.202824436703	271.691458333333	0.99084022032972	1.00231489236638
27	265.861	269.279961872248	269.015041666667	1.00098477841217	0.987303318641027
28	269.034	269.140844314561	266.215666666667	1.01098799963399	0.99960301709377
29	264.176	265.379094451616	263.674875	1.00646333652994	0.995466506304492
30	255.198	258.448523006665	260.867791666667	0.990726073753508	0.987422938352096
31	253.353	252.832244099864	258.138625	0.979443677209733	1.00205968942763
32	246.057	245.533567233134	255.8775	0.959574668476649	1.00213181754643
33	235.372	240.720054947453	253.995833333333	0.9477322985513	0.977783093524881
34	258.556	260.016448901226	252.360458333333	1.03033752045964	0.994383244185523
35	260.993	260.324635846277	250.709208333333	1.03835290924041	1.00256742567429
36	254.663	257.485416743139	249.156916666667	1.03342672636945	0.989038537487525
37	250.643	250.481284875612	247.724166666667	1.01112979103349	1.00064561759362
38	243.422	243.936976808424	246.192041666667	0.99084022032972	0.997888894028444
39	247.105	245.223461523465	244.982208333333	1.00098477841217	1.00767275066116
40	248.541	246.867177951625	244.184083333333	1.01098799963399	1.00678025350419
41	245.039	244.785973930794	243.214	1.00646333652994	1.00103366244864
42	237.08	240.118233030836	242.365916666667	0.990726073753508	0.987346929083697
43	237.085	236.843479031867	241.814291666667	0.979443677209733	1.00101974928387
44	225.554	231.930756679642	241.701625	0.959574668476649	0.972505773831237
45	226.839	229.522597840069	242.180833333333	0.9477322985513	0.988307914491542
46	247.934	250.577140499725	243.199083333333	1.03033752045964	0.989451789199711
47	248.333	254.217519945875	244.827666666667	1.03835290924041	0.976852421709064
48	246.969	255.563759745455	247.297416666667	1.03342672636945	0.966369411085455
49	245.098	253.118732674707	250.332583333333	1.01112979103349	0.968312370285865
50	246.263	251.290951638702	253.614	0.99084022032972	0.979991513399453
51	255.765	257.493574644940	257.24025	1.00098477841217	0.993286921247165
52	264.319	263.855062056475	260.987333333333	1.01098799963399	1.00175830601812
53	268.347	266.545879010461	264.834166666667	1.00646333652994	1.00675726443877
54	273.046	266.253421735442	268.74575	0.990726073753508	1.02551170317468
55	273.963	NA	NA	0.979443677209733	NA
56	267.43	NA	NA	0.959574668476649	NA
57	271.993	NA	NA	0.9477322985513	NA
58	292.71	NA	NA	1.03033752045964	NA
59	295.881	NA	NA	1.03835290924041	NA
60	293.299	NA	NA	1.03342672636945	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 283.042 & NA & NA & 1.01112979103349 & NA \tabularnewline
2 & 276.687 & NA & NA & 0.99084022032972 & NA \tabularnewline
3 & 277.915 & NA & NA & 1.00098477841217 & NA \tabularnewline
4 & 277.128 & NA & NA & 1.01098799963399 & NA \tabularnewline
5 & 277.103 & NA & NA & 1.00646333652994 & NA \tabularnewline
6 & 275.037 & NA & NA & 0.990726073753508 & NA \tabularnewline
7 & 270.15 & 272.816853699805 & 278.542666666667 & 0.979443677209733 & 0.990224747248425 \tabularnewline
8 & 267.14 & 267.679670971462 & 278.956583333333 & 0.959574668476649 & 0.997983892577634 \tabularnewline
9 & 264.993 & 264.752532107580 & 279.353708333333 & 0.9477322985513 & 1.00090827419291 \tabularnewline
10 & 287.259 & 288.163595661712 & 279.678833333333 & 1.03033752045964 & 0.99686082601921 \tabularnewline
11 & 291.186 & 290.680796618511 & 279.944125 & 1.03835290924041 & 1.00173800053999 \tabularnewline
12 & 292.3 & 289.521516082251 & 280.156791666667 & 1.03342672636945 & 1.00959681323636 \tabularnewline
13 & 288.186 & 283.564103465173 & 280.442833333333 & 1.01112979103349 & 1.01629930050506 \tabularnewline
14 & 281.477 & 278.380936112608 & 280.954416666667 & 0.99084022032972 & 1.01112168071071 \tabularnewline
15 & 282.656 & 281.795399679833 & 281.518166666667 & 1.00098477841217 & 1.00305398995564 \tabularnewline
16 & 280.19 & 284.984753373325 & 281.887375 & 1.01098799963399 & 0.983175403888909 \tabularnewline
17 & 280.408 & 283.796660598584 & 281.974166666667 & 1.00646333652994 & 0.988059547313078 \tabularnewline
18 & 276.836 & 279.34017012517 & 281.955 & 0.990726073753508 & 0.99103540989451 \tabularnewline
19 & 275.216 & 275.763999724529 & 281.551666666667 & 0.979443677209733 & 0.998012794545059 \tabularnewline
20 & 274.352 & 269.316985231828 & 280.662875 & 0.959574668476649 & 1.01869549654968 \tabularnewline
21 & 271.311 & 264.869971934908 & 279.477625 & 0.9477322985513 & 1.02431769829565 \tabularnewline
22 & 289.802 & 286.756326331685 & 278.313 & 1.03033752045964 & 1.01062112110054 \tabularnewline
23 & 290.726 & 287.802179501165 & 277.171833333333 & 1.03835290924041 & 1.01015913258163 \tabularnewline
24 & 292.3 & 284.806119108168 & 275.593916666667 & 1.03342672636945 & 1.02631221869565 \tabularnewline
25 & 278.506 & 276.828504492612 & 273.781375 & 1.01112979103349 & 1.00605969212044 \tabularnewline
26 & 269.826 & 269.202824436703 & 271.691458333333 & 0.99084022032972 & 1.00231489236638 \tabularnewline
27 & 265.861 & 269.279961872248 & 269.015041666667 & 1.00098477841217 & 0.987303318641027 \tabularnewline
28 & 269.034 & 269.140844314561 & 266.215666666667 & 1.01098799963399 & 0.99960301709377 \tabularnewline
29 & 264.176 & 265.379094451616 & 263.674875 & 1.00646333652994 & 0.995466506304492 \tabularnewline
30 & 255.198 & 258.448523006665 & 260.867791666667 & 0.990726073753508 & 0.987422938352096 \tabularnewline
31 & 253.353 & 252.832244099864 & 258.138625 & 0.979443677209733 & 1.00205968942763 \tabularnewline
32 & 246.057 & 245.533567233134 & 255.8775 & 0.959574668476649 & 1.00213181754643 \tabularnewline
33 & 235.372 & 240.720054947453 & 253.995833333333 & 0.9477322985513 & 0.977783093524881 \tabularnewline
34 & 258.556 & 260.016448901226 & 252.360458333333 & 1.03033752045964 & 0.994383244185523 \tabularnewline
35 & 260.993 & 260.324635846277 & 250.709208333333 & 1.03835290924041 & 1.00256742567429 \tabularnewline
36 & 254.663 & 257.485416743139 & 249.156916666667 & 1.03342672636945 & 0.989038537487525 \tabularnewline
37 & 250.643 & 250.481284875612 & 247.724166666667 & 1.01112979103349 & 1.00064561759362 \tabularnewline
38 & 243.422 & 243.936976808424 & 246.192041666667 & 0.99084022032972 & 0.997888894028444 \tabularnewline
39 & 247.105 & 245.223461523465 & 244.982208333333 & 1.00098477841217 & 1.00767275066116 \tabularnewline
40 & 248.541 & 246.867177951625 & 244.184083333333 & 1.01098799963399 & 1.00678025350419 \tabularnewline
41 & 245.039 & 244.785973930794 & 243.214 & 1.00646333652994 & 1.00103366244864 \tabularnewline
42 & 237.08 & 240.118233030836 & 242.365916666667 & 0.990726073753508 & 0.987346929083697 \tabularnewline
43 & 237.085 & 236.843479031867 & 241.814291666667 & 0.979443677209733 & 1.00101974928387 \tabularnewline
44 & 225.554 & 231.930756679642 & 241.701625 & 0.959574668476649 & 0.972505773831237 \tabularnewline
45 & 226.839 & 229.522597840069 & 242.180833333333 & 0.9477322985513 & 0.988307914491542 \tabularnewline
46 & 247.934 & 250.577140499725 & 243.199083333333 & 1.03033752045964 & 0.989451789199711 \tabularnewline
47 & 248.333 & 254.217519945875 & 244.827666666667 & 1.03835290924041 & 0.976852421709064 \tabularnewline
48 & 246.969 & 255.563759745455 & 247.297416666667 & 1.03342672636945 & 0.966369411085455 \tabularnewline
49 & 245.098 & 253.118732674707 & 250.332583333333 & 1.01112979103349 & 0.968312370285865 \tabularnewline
50 & 246.263 & 251.290951638702 & 253.614 & 0.99084022032972 & 0.979991513399453 \tabularnewline
51 & 255.765 & 257.493574644940 & 257.24025 & 1.00098477841217 & 0.993286921247165 \tabularnewline
52 & 264.319 & 263.855062056475 & 260.987333333333 & 1.01098799963399 & 1.00175830601812 \tabularnewline
53 & 268.347 & 266.545879010461 & 264.834166666667 & 1.00646333652994 & 1.00675726443877 \tabularnewline
54 & 273.046 & 266.253421735442 & 268.74575 & 0.990726073753508 & 1.02551170317468 \tabularnewline
55 & 273.963 & NA & NA & 0.979443677209733 & NA \tabularnewline
56 & 267.43 & NA & NA & 0.959574668476649 & NA \tabularnewline
57 & 271.993 & NA & NA & 0.9477322985513 & NA \tabularnewline
58 & 292.71 & NA & NA & 1.03033752045964 & NA \tabularnewline
59 & 295.881 & NA & NA & 1.03835290924041 & NA \tabularnewline
60 & 293.299 & NA & NA & 1.03342672636945 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63352&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]283.042[/C][C]NA[/C][C]NA[/C][C]1.01112979103349[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]276.687[/C][C]NA[/C][C]NA[/C][C]0.99084022032972[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]277.915[/C][C]NA[/C][C]NA[/C][C]1.00098477841217[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]277.128[/C][C]NA[/C][C]NA[/C][C]1.01098799963399[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]277.103[/C][C]NA[/C][C]NA[/C][C]1.00646333652994[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]275.037[/C][C]NA[/C][C]NA[/C][C]0.990726073753508[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]270.15[/C][C]272.816853699805[/C][C]278.542666666667[/C][C]0.979443677209733[/C][C]0.990224747248425[/C][/ROW]
[ROW][C]8[/C][C]267.14[/C][C]267.679670971462[/C][C]278.956583333333[/C][C]0.959574668476649[/C][C]0.997983892577634[/C][/ROW]
[ROW][C]9[/C][C]264.993[/C][C]264.752532107580[/C][C]279.353708333333[/C][C]0.9477322985513[/C][C]1.00090827419291[/C][/ROW]
[ROW][C]10[/C][C]287.259[/C][C]288.163595661712[/C][C]279.678833333333[/C][C]1.03033752045964[/C][C]0.99686082601921[/C][/ROW]
[ROW][C]11[/C][C]291.186[/C][C]290.680796618511[/C][C]279.944125[/C][C]1.03835290924041[/C][C]1.00173800053999[/C][/ROW]
[ROW][C]12[/C][C]292.3[/C][C]289.521516082251[/C][C]280.156791666667[/C][C]1.03342672636945[/C][C]1.00959681323636[/C][/ROW]
[ROW][C]13[/C][C]288.186[/C][C]283.564103465173[/C][C]280.442833333333[/C][C]1.01112979103349[/C][C]1.01629930050506[/C][/ROW]
[ROW][C]14[/C][C]281.477[/C][C]278.380936112608[/C][C]280.954416666667[/C][C]0.99084022032972[/C][C]1.01112168071071[/C][/ROW]
[ROW][C]15[/C][C]282.656[/C][C]281.795399679833[/C][C]281.518166666667[/C][C]1.00098477841217[/C][C]1.00305398995564[/C][/ROW]
[ROW][C]16[/C][C]280.19[/C][C]284.984753373325[/C][C]281.887375[/C][C]1.01098799963399[/C][C]0.983175403888909[/C][/ROW]
[ROW][C]17[/C][C]280.408[/C][C]283.796660598584[/C][C]281.974166666667[/C][C]1.00646333652994[/C][C]0.988059547313078[/C][/ROW]
[ROW][C]18[/C][C]276.836[/C][C]279.34017012517[/C][C]281.955[/C][C]0.990726073753508[/C][C]0.99103540989451[/C][/ROW]
[ROW][C]19[/C][C]275.216[/C][C]275.763999724529[/C][C]281.551666666667[/C][C]0.979443677209733[/C][C]0.998012794545059[/C][/ROW]
[ROW][C]20[/C][C]274.352[/C][C]269.316985231828[/C][C]280.662875[/C][C]0.959574668476649[/C][C]1.01869549654968[/C][/ROW]
[ROW][C]21[/C][C]271.311[/C][C]264.869971934908[/C][C]279.477625[/C][C]0.9477322985513[/C][C]1.02431769829565[/C][/ROW]
[ROW][C]22[/C][C]289.802[/C][C]286.756326331685[/C][C]278.313[/C][C]1.03033752045964[/C][C]1.01062112110054[/C][/ROW]
[ROW][C]23[/C][C]290.726[/C][C]287.802179501165[/C][C]277.171833333333[/C][C]1.03835290924041[/C][C]1.01015913258163[/C][/ROW]
[ROW][C]24[/C][C]292.3[/C][C]284.806119108168[/C][C]275.593916666667[/C][C]1.03342672636945[/C][C]1.02631221869565[/C][/ROW]
[ROW][C]25[/C][C]278.506[/C][C]276.828504492612[/C][C]273.781375[/C][C]1.01112979103349[/C][C]1.00605969212044[/C][/ROW]
[ROW][C]26[/C][C]269.826[/C][C]269.202824436703[/C][C]271.691458333333[/C][C]0.99084022032972[/C][C]1.00231489236638[/C][/ROW]
[ROW][C]27[/C][C]265.861[/C][C]269.279961872248[/C][C]269.015041666667[/C][C]1.00098477841217[/C][C]0.987303318641027[/C][/ROW]
[ROW][C]28[/C][C]269.034[/C][C]269.140844314561[/C][C]266.215666666667[/C][C]1.01098799963399[/C][C]0.99960301709377[/C][/ROW]
[ROW][C]29[/C][C]264.176[/C][C]265.379094451616[/C][C]263.674875[/C][C]1.00646333652994[/C][C]0.995466506304492[/C][/ROW]
[ROW][C]30[/C][C]255.198[/C][C]258.448523006665[/C][C]260.867791666667[/C][C]0.990726073753508[/C][C]0.987422938352096[/C][/ROW]
[ROW][C]31[/C][C]253.353[/C][C]252.832244099864[/C][C]258.138625[/C][C]0.979443677209733[/C][C]1.00205968942763[/C][/ROW]
[ROW][C]32[/C][C]246.057[/C][C]245.533567233134[/C][C]255.8775[/C][C]0.959574668476649[/C][C]1.00213181754643[/C][/ROW]
[ROW][C]33[/C][C]235.372[/C][C]240.720054947453[/C][C]253.995833333333[/C][C]0.9477322985513[/C][C]0.977783093524881[/C][/ROW]
[ROW][C]34[/C][C]258.556[/C][C]260.016448901226[/C][C]252.360458333333[/C][C]1.03033752045964[/C][C]0.994383244185523[/C][/ROW]
[ROW][C]35[/C][C]260.993[/C][C]260.324635846277[/C][C]250.709208333333[/C][C]1.03835290924041[/C][C]1.00256742567429[/C][/ROW]
[ROW][C]36[/C][C]254.663[/C][C]257.485416743139[/C][C]249.156916666667[/C][C]1.03342672636945[/C][C]0.989038537487525[/C][/ROW]
[ROW][C]37[/C][C]250.643[/C][C]250.481284875612[/C][C]247.724166666667[/C][C]1.01112979103349[/C][C]1.00064561759362[/C][/ROW]
[ROW][C]38[/C][C]243.422[/C][C]243.936976808424[/C][C]246.192041666667[/C][C]0.99084022032972[/C][C]0.997888894028444[/C][/ROW]
[ROW][C]39[/C][C]247.105[/C][C]245.223461523465[/C][C]244.982208333333[/C][C]1.00098477841217[/C][C]1.00767275066116[/C][/ROW]
[ROW][C]40[/C][C]248.541[/C][C]246.867177951625[/C][C]244.184083333333[/C][C]1.01098799963399[/C][C]1.00678025350419[/C][/ROW]
[ROW][C]41[/C][C]245.039[/C][C]244.785973930794[/C][C]243.214[/C][C]1.00646333652994[/C][C]1.00103366244864[/C][/ROW]
[ROW][C]42[/C][C]237.08[/C][C]240.118233030836[/C][C]242.365916666667[/C][C]0.990726073753508[/C][C]0.987346929083697[/C][/ROW]
[ROW][C]43[/C][C]237.085[/C][C]236.843479031867[/C][C]241.814291666667[/C][C]0.979443677209733[/C][C]1.00101974928387[/C][/ROW]
[ROW][C]44[/C][C]225.554[/C][C]231.930756679642[/C][C]241.701625[/C][C]0.959574668476649[/C][C]0.972505773831237[/C][/ROW]
[ROW][C]45[/C][C]226.839[/C][C]229.522597840069[/C][C]242.180833333333[/C][C]0.9477322985513[/C][C]0.988307914491542[/C][/ROW]
[ROW][C]46[/C][C]247.934[/C][C]250.577140499725[/C][C]243.199083333333[/C][C]1.03033752045964[/C][C]0.989451789199711[/C][/ROW]
[ROW][C]47[/C][C]248.333[/C][C]254.217519945875[/C][C]244.827666666667[/C][C]1.03835290924041[/C][C]0.976852421709064[/C][/ROW]
[ROW][C]48[/C][C]246.969[/C][C]255.563759745455[/C][C]247.297416666667[/C][C]1.03342672636945[/C][C]0.966369411085455[/C][/ROW]
[ROW][C]49[/C][C]245.098[/C][C]253.118732674707[/C][C]250.332583333333[/C][C]1.01112979103349[/C][C]0.968312370285865[/C][/ROW]
[ROW][C]50[/C][C]246.263[/C][C]251.290951638702[/C][C]253.614[/C][C]0.99084022032972[/C][C]0.979991513399453[/C][/ROW]
[ROW][C]51[/C][C]255.765[/C][C]257.493574644940[/C][C]257.24025[/C][C]1.00098477841217[/C][C]0.993286921247165[/C][/ROW]
[ROW][C]52[/C][C]264.319[/C][C]263.855062056475[/C][C]260.987333333333[/C][C]1.01098799963399[/C][C]1.00175830601812[/C][/ROW]
[ROW][C]53[/C][C]268.347[/C][C]266.545879010461[/C][C]264.834166666667[/C][C]1.00646333652994[/C][C]1.00675726443877[/C][/ROW]
[ROW][C]54[/C][C]273.046[/C][C]266.253421735442[/C][C]268.74575[/C][C]0.990726073753508[/C][C]1.02551170317468[/C][/ROW]
[ROW][C]55[/C][C]273.963[/C][C]NA[/C][C]NA[/C][C]0.979443677209733[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]267.43[/C][C]NA[/C][C]NA[/C][C]0.959574668476649[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]271.993[/C][C]NA[/C][C]NA[/C][C]0.9477322985513[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]292.71[/C][C]NA[/C][C]NA[/C][C]1.03033752045964[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]295.881[/C][C]NA[/C][C]NA[/C][C]1.03835290924041[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]293.299[/C][C]NA[/C][C]NA[/C][C]1.03342672636945[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63352&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63352&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	283.042	NA	NA	1.01112979103349	NA
2	276.687	NA	NA	0.99084022032972	NA
3	277.915	NA	NA	1.00098477841217	NA
4	277.128	NA	NA	1.01098799963399	NA
5	277.103	NA	NA	1.00646333652994	NA
6	275.037	NA	NA	0.990726073753508	NA
7	270.15	272.816853699805	278.542666666667	0.979443677209733	0.990224747248425
8	267.14	267.679670971462	278.956583333333	0.959574668476649	0.997983892577634
9	264.993	264.752532107580	279.353708333333	0.9477322985513	1.00090827419291
10	287.259	288.163595661712	279.678833333333	1.03033752045964	0.99686082601921
11	291.186	290.680796618511	279.944125	1.03835290924041	1.00173800053999
12	292.3	289.521516082251	280.156791666667	1.03342672636945	1.00959681323636
13	288.186	283.564103465173	280.442833333333	1.01112979103349	1.01629930050506
14	281.477	278.380936112608	280.954416666667	0.99084022032972	1.01112168071071
15	282.656	281.795399679833	281.518166666667	1.00098477841217	1.00305398995564
16	280.19	284.984753373325	281.887375	1.01098799963399	0.983175403888909
17	280.408	283.796660598584	281.974166666667	1.00646333652994	0.988059547313078
18	276.836	279.34017012517	281.955	0.990726073753508	0.99103540989451
19	275.216	275.763999724529	281.551666666667	0.979443677209733	0.998012794545059
20	274.352	269.316985231828	280.662875	0.959574668476649	1.01869549654968
21	271.311	264.869971934908	279.477625	0.9477322985513	1.02431769829565
22	289.802	286.756326331685	278.313	1.03033752045964	1.01062112110054
23	290.726	287.802179501165	277.171833333333	1.03835290924041	1.01015913258163
24	292.3	284.806119108168	275.593916666667	1.03342672636945	1.02631221869565
25	278.506	276.828504492612	273.781375	1.01112979103349	1.00605969212044
26	269.826	269.202824436703	271.691458333333	0.99084022032972	1.00231489236638
27	265.861	269.279961872248	269.015041666667	1.00098477841217	0.987303318641027
28	269.034	269.140844314561	266.215666666667	1.01098799963399	0.99960301709377
29	264.176	265.379094451616	263.674875	1.00646333652994	0.995466506304492
30	255.198	258.448523006665	260.867791666667	0.990726073753508	0.987422938352096
31	253.353	252.832244099864	258.138625	0.979443677209733	1.00205968942763
32	246.057	245.533567233134	255.8775	0.959574668476649	1.00213181754643
33	235.372	240.720054947453	253.995833333333	0.9477322985513	0.977783093524881
34	258.556	260.016448901226	252.360458333333	1.03033752045964	0.994383244185523
35	260.993	260.324635846277	250.709208333333	1.03835290924041	1.00256742567429
36	254.663	257.485416743139	249.156916666667	1.03342672636945	0.989038537487525
37	250.643	250.481284875612	247.724166666667	1.01112979103349	1.00064561759362
38	243.422	243.936976808424	246.192041666667	0.99084022032972	0.997888894028444
39	247.105	245.223461523465	244.982208333333	1.00098477841217	1.00767275066116
40	248.541	246.867177951625	244.184083333333	1.01098799963399	1.00678025350419
41	245.039	244.785973930794	243.214	1.00646333652994	1.00103366244864
42	237.08	240.118233030836	242.365916666667	0.990726073753508	0.987346929083697
43	237.085	236.843479031867	241.814291666667	0.979443677209733	1.00101974928387
44	225.554	231.930756679642	241.701625	0.959574668476649	0.972505773831237
45	226.839	229.522597840069	242.180833333333	0.9477322985513	0.988307914491542
46	247.934	250.577140499725	243.199083333333	1.03033752045964	0.989451789199711
47	248.333	254.217519945875	244.827666666667	1.03835290924041	0.976852421709064
48	246.969	255.563759745455	247.297416666667	1.03342672636945	0.966369411085455
49	245.098	253.118732674707	250.332583333333	1.01112979103349	0.968312370285865
50	246.263	251.290951638702	253.614	0.99084022032972	0.979991513399453
51	255.765	257.493574644940	257.24025	1.00098477841217	0.993286921247165
52	264.319	263.855062056475	260.987333333333	1.01098799963399	1.00175830601812
53	268.347	266.545879010461	264.834166666667	1.00646333652994	1.00675726443877
54	273.046	266.253421735442	268.74575	0.990726073753508	1.02551170317468
55	273.963	NA	NA	0.979443677209733	NA
56	267.43	NA	NA	0.959574668476649	NA
57	271.993	NA	NA	0.9477322985513	NA
58	292.71	NA	NA	1.03033752045964	NA
59	295.881	NA	NA	1.03835290924041	NA
60	293.299	NA	NA	1.03342672636945	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