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rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Fri, 04 Dec 2009 09:30:31 -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/t12599442974dya6dckalu9fxk.htm/, Retrieved Sat, 27 Apr 2024 20:53:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63867, Retrieved Sat, 27 Apr 2024 20:53:48 +0000

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Estimated Impact

115

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]
- R PD      [Classical Decomposition] [Ws 9 ADC1] [2009-12-04 16:30:31] [51118f1042b56b16d340924f16263174] [Current]
-   PD        [Classical Decomposition] [ws9 forcasting 1] [2009-12-04 20:34:46] [95cead3ebb75668735f848316249436a] 

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100
96,21064363
96,31280765
107,1793443
114,9066592
92,56060184
114,9995356
107,1236185
117,7765394
107,3650971
106,2970187
114,5072908
98,0031578
103,0649206
100,2879168
104,6066685
111,1544534
104,9874617
109,9284852
111,5352466
132,4974459
100,3436426
123,0983561
114,2379493
104,569518
109,0833101
106,9843039
133,6769759
124,8537197
122,5132349
116,8013374
116,0118882
129,7575926
125,1973623
143,7912139
127,9465032
130,2962757
108,4424631
129,3675118
143,6797622
131,8844618
117,6186496
118,9560695
104,8202842
134,624315
140,401226
143,8005015
153,4317823
153,2924677
127,3149438
153,5525216
136,9276493
131,7730101
144,3391845
107,4208229
113,6249652
124,2221603
102,0618557
96,36853348
111,6838488

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ 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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63867&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63867&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63867&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	100	NA	NA	-1.42050876881944	NA
2	96.21064363	NA	NA	-10.9732316063194	NA
3	96.31280765	NA	NA	-0.536441727152764	NA
4	107.1793443	NA	NA	6.62635893638889	NA
5	114.9066592	NA	NA	1.97867003034722	NA
6	92.56060184	NA	NA	-0.440275969444461	NA
7	114.9995356	102.763765703264	106.186727968333	-3.42296226506944	12.2357698967361
8	107.1236185	96.7884282700347	106.38912108375	-9.60069281371528	10.3351902299653
9	117.7765394	115.110616394618	106.840345505417	8.27027088920138	2.66592300538193
10	107.3650971	103.925784695139	106.898780228333	-2.97299553319446	3.43931240486113
11	106.2970187	114.096619179514	106.635243495	7.46137568451388	-7.7996004795139
12	114.5072908	112.027120557431	106.996687414167	5.03043314326389	2.48017024256946
13	98.0031578	105.882670706181	107.303179475	-1.42050876881944	-7.87951290618055
14	103.0649206	96.302471939514	107.275703545833	-10.9732316063194	6.7624486604861
15	100.2879168	107.536450760347	108.0728924875	-0.536441727152764	-7.24853396034722
16	104.6066685	115.020061923889	108.3937029875	6.62635893638889	-10.4133934238889
17	111.1544534	110.779868138681	108.801198108333	1.97867003034722	0.374585261319439
18	104.9874617	109.049755301389	109.490031270833	-0.440275969444461	-4.06229360138889
19	109.9284852	106.329444784931	109.75240705	-3.42296226506944	3.59904041506945
20	111.5352466	100.676078807118	110.276771620833	-9.60069281371528	10.8591677928819
21	132.4974459	119.076824868368	110.806553979167	8.27027088920138	13.4206210316319
22	100.3436426	109.323837383472	112.296832916667	-2.97299553319446	-8.98019478347223
23	123.0983561	121.540274172014	114.0788984875	7.46137568451388	1.55808192798611
24	114.2379493	120.410374943264	115.3799418	5.03043314326389	-6.17242564326389
25	104.569518	114.976042422847	116.396551191667	-1.42050876881944	-10.4065244228472
26	109.0833101	105.896215160347	116.869446766667	-10.9732316063194	3.18709493965277
27	106.9843039	116.405371218681	116.941812945833	-0.536441727152764	-9.42106731868056
28	133.6769759	124.489582982222	117.863224045833	6.62635893638889	9.1873929177778
29	124.8537197	121.739668138681	119.760998108333	1.97867003034722	3.11405156131944
30	122.5132349	120.754114293056	121.1943902625	-0.440275969444461	1.75912060694445
31	116.8013374	119.414565980764	122.837528245833	-3.42296226506944	-2.61322858076387
32	116.0118882	114.282081711285	123.882774525	-9.60069281371528	1.72980648871527
33	129.7575926	133.058977118368	124.788706229167	8.27027088920138	-3.30138451836804
34	125.1973623	123.165127120972	126.138122654167	-2.97299553319446	2.03223517902779
35	143.7912139	134.309228688681	126.847853004167	7.46137568451388	9.48198521131945
36	127.9465032	131.967292680764	126.9368595375	5.03043314326389	-4.02078948076390
37	130.2962757	125.402190218681	126.8226989875	-1.42050876881944	4.89408548131944
38	108.4424631	115.472931052014	126.446162658333	-10.9732316063194	-7.0304679520139
39	129.3675118	125.646184197847	126.182625925	-0.536441727152764	3.72132760215277
40	143.6797622	133.645259282222	127.018900345833	6.62635893638889	10.0345029177778
41	131.8844618	129.631451680347	127.65278165	1.97867003034722	2.2530101196528
42	117.6186496	128.274779293056	128.7150552625	-0.440275969444461	-10.6561296930556
43	118.9560695	127.312154293264	130.735116558333	-3.42296226506944	-8.35608479326388
44	104.8202842	122.878951773785	132.4796445875	-9.60069281371528	-18.0586675737847
45	134.624315	142.543977580868	134.273706691667	8.27027088920138	-7.91966258086805
46	140.401226	132.027081862639	135.000077395833	-2.97299553319446	8.3741441373611
47	143.8005015	142.175471222014	134.7140955375	7.46137568451388	1.62503027798613
48	153.4317823	140.853240480764	135.8228073375	5.03043314326389	12.5785418192361
49	153.2924677	135.035018914514	136.455527683333	-1.42050876881944	18.2574487854861
50	127.3149438	125.368522510347	136.341754116667	-10.9732316063194	1.94642128965279
51	153.5525216	135.738750985347	136.2751927125	-0.536441727152764	17.8137706146528
52	136.9276493	140.870654773889	134.2442958375	6.62635893638889	-3.94300547388889
53	131.7730101	132.649160104514	130.670490074167	1.97867003034722	-0.876150004513875
54	144.3391845	126.514384874722	126.954660844167	-0.440275969444461	17.8247996252778
55	107.4208229	NA	NA	-3.42296226506944	NA
56	113.6249652	NA	NA	-9.60069281371528	NA
57	124.2221603	NA	NA	8.27027088920138	NA
58	102.0618557	NA	NA	-2.97299553319446	NA
59	96.36853348	NA	NA	7.46137568451388	NA
60	111.6838488	NA	NA	5.03043314326389	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 100 & NA & NA & -1.42050876881944 & NA \tabularnewline
2 & 96.21064363 & NA & NA & -10.9732316063194 & NA \tabularnewline
3 & 96.31280765 & NA & NA & -0.536441727152764 & NA \tabularnewline
4 & 107.1793443 & NA & NA & 6.62635893638889 & NA \tabularnewline
5 & 114.9066592 & NA & NA & 1.97867003034722 & NA \tabularnewline
6 & 92.56060184 & NA & NA & -0.440275969444461 & NA \tabularnewline
7 & 114.9995356 & 102.763765703264 & 106.186727968333 & -3.42296226506944 & 12.2357698967361 \tabularnewline
8 & 107.1236185 & 96.7884282700347 & 106.38912108375 & -9.60069281371528 & 10.3351902299653 \tabularnewline
9 & 117.7765394 & 115.110616394618 & 106.840345505417 & 8.27027088920138 & 2.66592300538193 \tabularnewline
10 & 107.3650971 & 103.925784695139 & 106.898780228333 & -2.97299553319446 & 3.43931240486113 \tabularnewline
11 & 106.2970187 & 114.096619179514 & 106.635243495 & 7.46137568451388 & -7.7996004795139 \tabularnewline
12 & 114.5072908 & 112.027120557431 & 106.996687414167 & 5.03043314326389 & 2.48017024256946 \tabularnewline
13 & 98.0031578 & 105.882670706181 & 107.303179475 & -1.42050876881944 & -7.87951290618055 \tabularnewline
14 & 103.0649206 & 96.302471939514 & 107.275703545833 & -10.9732316063194 & 6.7624486604861 \tabularnewline
15 & 100.2879168 & 107.536450760347 & 108.0728924875 & -0.536441727152764 & -7.24853396034722 \tabularnewline
16 & 104.6066685 & 115.020061923889 & 108.3937029875 & 6.62635893638889 & -10.4133934238889 \tabularnewline
17 & 111.1544534 & 110.779868138681 & 108.801198108333 & 1.97867003034722 & 0.374585261319439 \tabularnewline
18 & 104.9874617 & 109.049755301389 & 109.490031270833 & -0.440275969444461 & -4.06229360138889 \tabularnewline
19 & 109.9284852 & 106.329444784931 & 109.75240705 & -3.42296226506944 & 3.59904041506945 \tabularnewline
20 & 111.5352466 & 100.676078807118 & 110.276771620833 & -9.60069281371528 & 10.8591677928819 \tabularnewline
21 & 132.4974459 & 119.076824868368 & 110.806553979167 & 8.27027088920138 & 13.4206210316319 \tabularnewline
22 & 100.3436426 & 109.323837383472 & 112.296832916667 & -2.97299553319446 & -8.98019478347223 \tabularnewline
23 & 123.0983561 & 121.540274172014 & 114.0788984875 & 7.46137568451388 & 1.55808192798611 \tabularnewline
24 & 114.2379493 & 120.410374943264 & 115.3799418 & 5.03043314326389 & -6.17242564326389 \tabularnewline
25 & 104.569518 & 114.976042422847 & 116.396551191667 & -1.42050876881944 & -10.4065244228472 \tabularnewline
26 & 109.0833101 & 105.896215160347 & 116.869446766667 & -10.9732316063194 & 3.18709493965277 \tabularnewline
27 & 106.9843039 & 116.405371218681 & 116.941812945833 & -0.536441727152764 & -9.42106731868056 \tabularnewline
28 & 133.6769759 & 124.489582982222 & 117.863224045833 & 6.62635893638889 & 9.1873929177778 \tabularnewline
29 & 124.8537197 & 121.739668138681 & 119.760998108333 & 1.97867003034722 & 3.11405156131944 \tabularnewline
30 & 122.5132349 & 120.754114293056 & 121.1943902625 & -0.440275969444461 & 1.75912060694445 \tabularnewline
31 & 116.8013374 & 119.414565980764 & 122.837528245833 & -3.42296226506944 & -2.61322858076387 \tabularnewline
32 & 116.0118882 & 114.282081711285 & 123.882774525 & -9.60069281371528 & 1.72980648871527 \tabularnewline
33 & 129.7575926 & 133.058977118368 & 124.788706229167 & 8.27027088920138 & -3.30138451836804 \tabularnewline
34 & 125.1973623 & 123.165127120972 & 126.138122654167 & -2.97299553319446 & 2.03223517902779 \tabularnewline
35 & 143.7912139 & 134.309228688681 & 126.847853004167 & 7.46137568451388 & 9.48198521131945 \tabularnewline
36 & 127.9465032 & 131.967292680764 & 126.9368595375 & 5.03043314326389 & -4.02078948076390 \tabularnewline
37 & 130.2962757 & 125.402190218681 & 126.8226989875 & -1.42050876881944 & 4.89408548131944 \tabularnewline
38 & 108.4424631 & 115.472931052014 & 126.446162658333 & -10.9732316063194 & -7.0304679520139 \tabularnewline
39 & 129.3675118 & 125.646184197847 & 126.182625925 & -0.536441727152764 & 3.72132760215277 \tabularnewline
40 & 143.6797622 & 133.645259282222 & 127.018900345833 & 6.62635893638889 & 10.0345029177778 \tabularnewline
41 & 131.8844618 & 129.631451680347 & 127.65278165 & 1.97867003034722 & 2.2530101196528 \tabularnewline
42 & 117.6186496 & 128.274779293056 & 128.7150552625 & -0.440275969444461 & -10.6561296930556 \tabularnewline
43 & 118.9560695 & 127.312154293264 & 130.735116558333 & -3.42296226506944 & -8.35608479326388 \tabularnewline
44 & 104.8202842 & 122.878951773785 & 132.4796445875 & -9.60069281371528 & -18.0586675737847 \tabularnewline
45 & 134.624315 & 142.543977580868 & 134.273706691667 & 8.27027088920138 & -7.91966258086805 \tabularnewline
46 & 140.401226 & 132.027081862639 & 135.000077395833 & -2.97299553319446 & 8.3741441373611 \tabularnewline
47 & 143.8005015 & 142.175471222014 & 134.7140955375 & 7.46137568451388 & 1.62503027798613 \tabularnewline
48 & 153.4317823 & 140.853240480764 & 135.8228073375 & 5.03043314326389 & 12.5785418192361 \tabularnewline
49 & 153.2924677 & 135.035018914514 & 136.455527683333 & -1.42050876881944 & 18.2574487854861 \tabularnewline
50 & 127.3149438 & 125.368522510347 & 136.341754116667 & -10.9732316063194 & 1.94642128965279 \tabularnewline
51 & 153.5525216 & 135.738750985347 & 136.2751927125 & -0.536441727152764 & 17.8137706146528 \tabularnewline
52 & 136.9276493 & 140.870654773889 & 134.2442958375 & 6.62635893638889 & -3.94300547388889 \tabularnewline
53 & 131.7730101 & 132.649160104514 & 130.670490074167 & 1.97867003034722 & -0.876150004513875 \tabularnewline
54 & 144.3391845 & 126.514384874722 & 126.954660844167 & -0.440275969444461 & 17.8247996252778 \tabularnewline
55 & 107.4208229 & NA & NA & -3.42296226506944 & NA \tabularnewline
56 & 113.6249652 & NA & NA & -9.60069281371528 & NA \tabularnewline
57 & 124.2221603 & NA & NA & 8.27027088920138 & NA \tabularnewline
58 & 102.0618557 & NA & NA & -2.97299553319446 & NA \tabularnewline
59 & 96.36853348 & NA & NA & 7.46137568451388 & NA \tabularnewline
60 & 111.6838488 & NA & NA & 5.03043314326389 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63867&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]100[/C][C]NA[/C][C]NA[/C][C]-1.42050876881944[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]96.21064363[/C][C]NA[/C][C]NA[/C][C]-10.9732316063194[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]96.31280765[/C][C]NA[/C][C]NA[/C][C]-0.536441727152764[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]107.1793443[/C][C]NA[/C][C]NA[/C][C]6.62635893638889[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]114.9066592[/C][C]NA[/C][C]NA[/C][C]1.97867003034722[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]92.56060184[/C][C]NA[/C][C]NA[/C][C]-0.440275969444461[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]114.9995356[/C][C]102.763765703264[/C][C]106.186727968333[/C][C]-3.42296226506944[/C][C]12.2357698967361[/C][/ROW]
[ROW][C]8[/C][C]107.1236185[/C][C]96.7884282700347[/C][C]106.38912108375[/C][C]-9.60069281371528[/C][C]10.3351902299653[/C][/ROW]
[ROW][C]9[/C][C]117.7765394[/C][C]115.110616394618[/C][C]106.840345505417[/C][C]8.27027088920138[/C][C]2.66592300538193[/C][/ROW]
[ROW][C]10[/C][C]107.3650971[/C][C]103.925784695139[/C][C]106.898780228333[/C][C]-2.97299553319446[/C][C]3.43931240486113[/C][/ROW]
[ROW][C]11[/C][C]106.2970187[/C][C]114.096619179514[/C][C]106.635243495[/C][C]7.46137568451388[/C][C]-7.7996004795139[/C][/ROW]
[ROW][C]12[/C][C]114.5072908[/C][C]112.027120557431[/C][C]106.996687414167[/C][C]5.03043314326389[/C][C]2.48017024256946[/C][/ROW]
[ROW][C]13[/C][C]98.0031578[/C][C]105.882670706181[/C][C]107.303179475[/C][C]-1.42050876881944[/C][C]-7.87951290618055[/C][/ROW]
[ROW][C]14[/C][C]103.0649206[/C][C]96.302471939514[/C][C]107.275703545833[/C][C]-10.9732316063194[/C][C]6.7624486604861[/C][/ROW]
[ROW][C]15[/C][C]100.2879168[/C][C]107.536450760347[/C][C]108.0728924875[/C][C]-0.536441727152764[/C][C]-7.24853396034722[/C][/ROW]
[ROW][C]16[/C][C]104.6066685[/C][C]115.020061923889[/C][C]108.3937029875[/C][C]6.62635893638889[/C][C]-10.4133934238889[/C][/ROW]
[ROW][C]17[/C][C]111.1544534[/C][C]110.779868138681[/C][C]108.801198108333[/C][C]1.97867003034722[/C][C]0.374585261319439[/C][/ROW]
[ROW][C]18[/C][C]104.9874617[/C][C]109.049755301389[/C][C]109.490031270833[/C][C]-0.440275969444461[/C][C]-4.06229360138889[/C][/ROW]
[ROW][C]19[/C][C]109.9284852[/C][C]106.329444784931[/C][C]109.75240705[/C][C]-3.42296226506944[/C][C]3.59904041506945[/C][/ROW]
[ROW][C]20[/C][C]111.5352466[/C][C]100.676078807118[/C][C]110.276771620833[/C][C]-9.60069281371528[/C][C]10.8591677928819[/C][/ROW]
[ROW][C]21[/C][C]132.4974459[/C][C]119.076824868368[/C][C]110.806553979167[/C][C]8.27027088920138[/C][C]13.4206210316319[/C][/ROW]
[ROW][C]22[/C][C]100.3436426[/C][C]109.323837383472[/C][C]112.296832916667[/C][C]-2.97299553319446[/C][C]-8.98019478347223[/C][/ROW]
[ROW][C]23[/C][C]123.0983561[/C][C]121.540274172014[/C][C]114.0788984875[/C][C]7.46137568451388[/C][C]1.55808192798611[/C][/ROW]
[ROW][C]24[/C][C]114.2379493[/C][C]120.410374943264[/C][C]115.3799418[/C][C]5.03043314326389[/C][C]-6.17242564326389[/C][/ROW]
[ROW][C]25[/C][C]104.569518[/C][C]114.976042422847[/C][C]116.396551191667[/C][C]-1.42050876881944[/C][C]-10.4065244228472[/C][/ROW]
[ROW][C]26[/C][C]109.0833101[/C][C]105.896215160347[/C][C]116.869446766667[/C][C]-10.9732316063194[/C][C]3.18709493965277[/C][/ROW]
[ROW][C]27[/C][C]106.9843039[/C][C]116.405371218681[/C][C]116.941812945833[/C][C]-0.536441727152764[/C][C]-9.42106731868056[/C][/ROW]
[ROW][C]28[/C][C]133.6769759[/C][C]124.489582982222[/C][C]117.863224045833[/C][C]6.62635893638889[/C][C]9.1873929177778[/C][/ROW]
[ROW][C]29[/C][C]124.8537197[/C][C]121.739668138681[/C][C]119.760998108333[/C][C]1.97867003034722[/C][C]3.11405156131944[/C][/ROW]
[ROW][C]30[/C][C]122.5132349[/C][C]120.754114293056[/C][C]121.1943902625[/C][C]-0.440275969444461[/C][C]1.75912060694445[/C][/ROW]
[ROW][C]31[/C][C]116.8013374[/C][C]119.414565980764[/C][C]122.837528245833[/C][C]-3.42296226506944[/C][C]-2.61322858076387[/C][/ROW]
[ROW][C]32[/C][C]116.0118882[/C][C]114.282081711285[/C][C]123.882774525[/C][C]-9.60069281371528[/C][C]1.72980648871527[/C][/ROW]
[ROW][C]33[/C][C]129.7575926[/C][C]133.058977118368[/C][C]124.788706229167[/C][C]8.27027088920138[/C][C]-3.30138451836804[/C][/ROW]
[ROW][C]34[/C][C]125.1973623[/C][C]123.165127120972[/C][C]126.138122654167[/C][C]-2.97299553319446[/C][C]2.03223517902779[/C][/ROW]
[ROW][C]35[/C][C]143.7912139[/C][C]134.309228688681[/C][C]126.847853004167[/C][C]7.46137568451388[/C][C]9.48198521131945[/C][/ROW]
[ROW][C]36[/C][C]127.9465032[/C][C]131.967292680764[/C][C]126.9368595375[/C][C]5.03043314326389[/C][C]-4.02078948076390[/C][/ROW]
[ROW][C]37[/C][C]130.2962757[/C][C]125.402190218681[/C][C]126.8226989875[/C][C]-1.42050876881944[/C][C]4.89408548131944[/C][/ROW]
[ROW][C]38[/C][C]108.4424631[/C][C]115.472931052014[/C][C]126.446162658333[/C][C]-10.9732316063194[/C][C]-7.0304679520139[/C][/ROW]
[ROW][C]39[/C][C]129.3675118[/C][C]125.646184197847[/C][C]126.182625925[/C][C]-0.536441727152764[/C][C]3.72132760215277[/C][/ROW]
[ROW][C]40[/C][C]143.6797622[/C][C]133.645259282222[/C][C]127.018900345833[/C][C]6.62635893638889[/C][C]10.0345029177778[/C][/ROW]
[ROW][C]41[/C][C]131.8844618[/C][C]129.631451680347[/C][C]127.65278165[/C][C]1.97867003034722[/C][C]2.2530101196528[/C][/ROW]
[ROW][C]42[/C][C]117.6186496[/C][C]128.274779293056[/C][C]128.7150552625[/C][C]-0.440275969444461[/C][C]-10.6561296930556[/C][/ROW]
[ROW][C]43[/C][C]118.9560695[/C][C]127.312154293264[/C][C]130.735116558333[/C][C]-3.42296226506944[/C][C]-8.35608479326388[/C][/ROW]
[ROW][C]44[/C][C]104.8202842[/C][C]122.878951773785[/C][C]132.4796445875[/C][C]-9.60069281371528[/C][C]-18.0586675737847[/C][/ROW]
[ROW][C]45[/C][C]134.624315[/C][C]142.543977580868[/C][C]134.273706691667[/C][C]8.27027088920138[/C][C]-7.91966258086805[/C][/ROW]
[ROW][C]46[/C][C]140.401226[/C][C]132.027081862639[/C][C]135.000077395833[/C][C]-2.97299553319446[/C][C]8.3741441373611[/C][/ROW]
[ROW][C]47[/C][C]143.8005015[/C][C]142.175471222014[/C][C]134.7140955375[/C][C]7.46137568451388[/C][C]1.62503027798613[/C][/ROW]
[ROW][C]48[/C][C]153.4317823[/C][C]140.853240480764[/C][C]135.8228073375[/C][C]5.03043314326389[/C][C]12.5785418192361[/C][/ROW]
[ROW][C]49[/C][C]153.2924677[/C][C]135.035018914514[/C][C]136.455527683333[/C][C]-1.42050876881944[/C][C]18.2574487854861[/C][/ROW]
[ROW][C]50[/C][C]127.3149438[/C][C]125.368522510347[/C][C]136.341754116667[/C][C]-10.9732316063194[/C][C]1.94642128965279[/C][/ROW]
[ROW][C]51[/C][C]153.5525216[/C][C]135.738750985347[/C][C]136.2751927125[/C][C]-0.536441727152764[/C][C]17.8137706146528[/C][/ROW]
[ROW][C]52[/C][C]136.9276493[/C][C]140.870654773889[/C][C]134.2442958375[/C][C]6.62635893638889[/C][C]-3.94300547388889[/C][/ROW]
[ROW][C]53[/C][C]131.7730101[/C][C]132.649160104514[/C][C]130.670490074167[/C][C]1.97867003034722[/C][C]-0.876150004513875[/C][/ROW]
[ROW][C]54[/C][C]144.3391845[/C][C]126.514384874722[/C][C]126.954660844167[/C][C]-0.440275969444461[/C][C]17.8247996252778[/C][/ROW]
[ROW][C]55[/C][C]107.4208229[/C][C]NA[/C][C]NA[/C][C]-3.42296226506944[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]113.6249652[/C][C]NA[/C][C]NA[/C][C]-9.60069281371528[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]124.2221603[/C][C]NA[/C][C]NA[/C][C]8.27027088920138[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]102.0618557[/C][C]NA[/C][C]NA[/C][C]-2.97299553319446[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]96.36853348[/C][C]NA[/C][C]NA[/C][C]7.46137568451388[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]111.6838488[/C][C]NA[/C][C]NA[/C][C]5.03043314326389[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63867&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63867&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	100	NA	NA	-1.42050876881944	NA
2	96.21064363	NA	NA	-10.9732316063194	NA
3	96.31280765	NA	NA	-0.536441727152764	NA
4	107.1793443	NA	NA	6.62635893638889	NA
5	114.9066592	NA	NA	1.97867003034722	NA
6	92.56060184	NA	NA	-0.440275969444461	NA
7	114.9995356	102.763765703264	106.186727968333	-3.42296226506944	12.2357698967361
8	107.1236185	96.7884282700347	106.38912108375	-9.60069281371528	10.3351902299653
9	117.7765394	115.110616394618	106.840345505417	8.27027088920138	2.66592300538193
10	107.3650971	103.925784695139	106.898780228333	-2.97299553319446	3.43931240486113
11	106.2970187	114.096619179514	106.635243495	7.46137568451388	-7.7996004795139
12	114.5072908	112.027120557431	106.996687414167	5.03043314326389	2.48017024256946
13	98.0031578	105.882670706181	107.303179475	-1.42050876881944	-7.87951290618055
14	103.0649206	96.302471939514	107.275703545833	-10.9732316063194	6.7624486604861
15	100.2879168	107.536450760347	108.0728924875	-0.536441727152764	-7.24853396034722
16	104.6066685	115.020061923889	108.3937029875	6.62635893638889	-10.4133934238889
17	111.1544534	110.779868138681	108.801198108333	1.97867003034722	0.374585261319439
18	104.9874617	109.049755301389	109.490031270833	-0.440275969444461	-4.06229360138889
19	109.9284852	106.329444784931	109.75240705	-3.42296226506944	3.59904041506945
20	111.5352466	100.676078807118	110.276771620833	-9.60069281371528	10.8591677928819
21	132.4974459	119.076824868368	110.806553979167	8.27027088920138	13.4206210316319
22	100.3436426	109.323837383472	112.296832916667	-2.97299553319446	-8.98019478347223
23	123.0983561	121.540274172014	114.0788984875	7.46137568451388	1.55808192798611
24	114.2379493	120.410374943264	115.3799418	5.03043314326389	-6.17242564326389
25	104.569518	114.976042422847	116.396551191667	-1.42050876881944	-10.4065244228472
26	109.0833101	105.896215160347	116.869446766667	-10.9732316063194	3.18709493965277
27	106.9843039	116.405371218681	116.941812945833	-0.536441727152764	-9.42106731868056
28	133.6769759	124.489582982222	117.863224045833	6.62635893638889	9.1873929177778
29	124.8537197	121.739668138681	119.760998108333	1.97867003034722	3.11405156131944
30	122.5132349	120.754114293056	121.1943902625	-0.440275969444461	1.75912060694445
31	116.8013374	119.414565980764	122.837528245833	-3.42296226506944	-2.61322858076387
32	116.0118882	114.282081711285	123.882774525	-9.60069281371528	1.72980648871527
33	129.7575926	133.058977118368	124.788706229167	8.27027088920138	-3.30138451836804
34	125.1973623	123.165127120972	126.138122654167	-2.97299553319446	2.03223517902779
35	143.7912139	134.309228688681	126.847853004167	7.46137568451388	9.48198521131945
36	127.9465032	131.967292680764	126.9368595375	5.03043314326389	-4.02078948076390
37	130.2962757	125.402190218681	126.8226989875	-1.42050876881944	4.89408548131944
38	108.4424631	115.472931052014	126.446162658333	-10.9732316063194	-7.0304679520139
39	129.3675118	125.646184197847	126.182625925	-0.536441727152764	3.72132760215277
40	143.6797622	133.645259282222	127.018900345833	6.62635893638889	10.0345029177778
41	131.8844618	129.631451680347	127.65278165	1.97867003034722	2.2530101196528
42	117.6186496	128.274779293056	128.7150552625	-0.440275969444461	-10.6561296930556
43	118.9560695	127.312154293264	130.735116558333	-3.42296226506944	-8.35608479326388
44	104.8202842	122.878951773785	132.4796445875	-9.60069281371528	-18.0586675737847
45	134.624315	142.543977580868	134.273706691667	8.27027088920138	-7.91966258086805
46	140.401226	132.027081862639	135.000077395833	-2.97299553319446	8.3741441373611
47	143.8005015	142.175471222014	134.7140955375	7.46137568451388	1.62503027798613
48	153.4317823	140.853240480764	135.8228073375	5.03043314326389	12.5785418192361
49	153.2924677	135.035018914514	136.455527683333	-1.42050876881944	18.2574487854861
50	127.3149438	125.368522510347	136.341754116667	-10.9732316063194	1.94642128965279
51	153.5525216	135.738750985347	136.2751927125	-0.536441727152764	17.8137706146528
52	136.9276493	140.870654773889	134.2442958375	6.62635893638889	-3.94300547388889
53	131.7730101	132.649160104514	130.670490074167	1.97867003034722	-0.876150004513875
54	144.3391845	126.514384874722	126.954660844167	-0.440275969444461	17.8247996252778
55	107.4208229	NA	NA	-3.42296226506944	NA
56	113.6249652	NA	NA	-9.60069281371528	NA
57	124.2221603	NA	NA	8.27027088920138	NA
58	102.0618557	NA	NA	-2.97299553319446	NA
59	96.36853348	NA	NA	7.46137568451388	NA
60	111.6838488	NA	NA	5.03043314326389	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 = TRUE ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;

Parameters (R input):

par1 = additive ; par2 = 12 ;

R code (references can be found in the software module):

par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$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