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R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Thu, 27 Dec 2012 10:20:29 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/27/t1356621846qxdx4rag4hpfyl9.htm/, Retrieved Tue, 23 Apr 2024 17:18:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204776, Retrieved Tue, 23 Apr 2024 17:18:08 +0000

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Estimated Impact

111

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

-       [Classical Decomposition] [Classical Decompo...] [2012-12-27 15:20:29] [4633288e60d40b4ed5f0b9573dd4d146] [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	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204776&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204776&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204776&T=0

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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	'Gwilym Jenkins' @ jenkins.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	132	NA	NA	0.90668716894865	NA
2	133.7	NA	NA	0.946402657034924	NA
3	127	NA	NA	0.98834006854887	NA
4	128.7	NA	NA	1.02082399879725	NA
5	127.3	NA	NA	1.07766747911708	NA
6	136.7	NA	NA	1.08111055406164	NA
7	133.8	141.430565923215	131.104166666667	1.07876484416245	0.946047264441001
8	137.2	134.005082613234	129.220833333333	1.03702382314437	1.02384176274856
9	147.4	132.331760643749	127.1125	1.04106016830563	1.11386714181803
10	137.6	123.152325003863	124.775	0.986995191375383	1.11731548710658
11	123.6	112.106823320469	122.129166666667	0.917936528842845	1.10251986756128
12	117.4	109.221746894788	119.083333333333	0.917187517660922	1.07487751604165
13	113.7	104.903705447359	115.7	0.90668716894865	1.08385113295216
14	106.8	106.316508484661	112.3375	0.946402657034924	1.00454766171529
15	103.3	107.642587715829	108.9125	0.98834006854887	0.959657345591755
16	96.3	107.858562339586	105.658333333333	1.02082399879725	0.89283593171588
17	96.2	110.865041914169	102.875	1.07766747911708	0.86772167618425
18	94.7	109.002971613264	100.825	1.08111055406164	0.868783654229076
19	94.6	107.004482833881	99.1916666666667	1.07876484416245	0.884075110636833
20	95.7	101.645618398534	98.0166666666667	1.03702382314437	0.941506397499379
21	106.7	101.238763617021	97.2458333333333	1.04106016830563	1.05394412365246
22	100.2	95.1710113283713	96.425	0.986995191375383	1.05284160167508
23	94.2	87.9191957854603	95.7791666666667	0.917936528842845	1.07143837200088
24	97.6	87.1442790217583	95.0125	0.917187517660922	1.11998172565787
25	94.3	85.394819862147	94.1833333333333	0.90668716894865	1.10428243952301
26	98	87.9957303822264	92.9791666666666	0.946402657034924	1.11369039809452
27	93.6	89.2059273537734	90.2583333333333	0.98834006854887	1.0492576309285
28	86.3	88.5437215956767	86.7375	1.02082399879725	0.974659732443568
29	90.7	89.7741912916153	83.3041666666666	1.07766747911708	1.01031263768645
30	81.8	86.2636129595013	79.7916666666667	1.08111055406164	0.948256132494742
31	87.6	82.2603142209043	76.2541666666666	1.07876484416245	1.06491205181585
32	73.8	75.9490322475355	73.2375	1.03702382314437	0.971704283992305
33	63.3	74.7828220899541	71.8333333333333	1.04106016830563	0.84645107299987
34	59.1	72.4002097673484	73.3541666666667	0.986995191375383	0.816295977455211
35	52.9	70.9029473820361	77.2416666666667	0.917936528842845	0.746090281902762
36	54.6	76.1800665710534	83.0583333333333	0.917187517660922	0.716722923168811
37	52.4	81.5262879412995	89.9166666666667	0.90668716894865	0.642737469388144
38	67.5	91.4382700471909	96.6166666666667	0.946402657034924	0.738202942434973
39	90.4	101.910215318245	103.1125	0.98834006854887	0.887055333144953
40	126	111.380405135437	109.108333333333	1.02082399879725	1.13125823026758
41	144.3	123.657852947521	114.745833333333	1.07766747911708	1.16692952821394
42	167.8	129.692724841619	119.9625	1.08111055406164	1.29382739243792
43	166.2	134.827626106237	124.983333333333	1.07876484416245	1.23268505720811
44	156	134.303226962388	129.508333333333	1.03702382314437	1.16155064571671
45	137	137.502359479667	132.079166666667	1.04106016830563	0.996346539204362
46	129.3	129.719955506474	131.429166666667	0.986995191375383	0.996762599055526
47	118	117.407906774537	127.904166666667	0.917936528842845	1.00504304387779
48	114.7	112.332541225521	122.475	0.917187517660922	1.02107544927454
49	112.8	105.202156640471	116.029166666667	0.90668716894865	1.07222136505713
50	115.7	103.753334621858	109.629166666667	0.946402657034924	1.11514488109402
51	103.9	103.067396815171	104.283333333333	0.98834006854887	1.00807824016669
52	96.9	101.890995379951	99.8125	1.02082399879725	0.951016325227373
53	88.8	103.164209719645	95.7291666666667	1.07766747911708	0.860763633447291
54	93	99.3270321544127	91.875	1.08111055406164	0.936301004699538
55	86.3	95.3942761985821	88.4291666666667	1.07876484416245	0.904666437432256
56	82.3	88.3544297319	85.2	1.03702382314437	0.931475651529059
57	82.4	85.5361060784109	82.1625	1.04106016830563	0.963335879756602
58	76.6	79.0542023492041	80.0958333333333	0.986995191375383	0.968955447322544
59	72.7	72.880335654585	79.3958333333333	0.917936528842845	0.997525592425374
60	67.5	72.8361537462479	79.4125	0.917187517660922	0.926737568202209
61	77.3	71.9456268560754	79.35	0.90668716894865	1.07442249623644
62	73.7	75.2745013339153	79.5375	0.946402657034924	0.979083204723857
63	73	78.94778105896	79.8791666666667	0.98834006854887	0.924661833693362
64	78.2	81.7212145370484	80.0541666666667	1.02082399879725	0.956911867291791
65	90.7	86.4289318251894	80.2	1.07766747911708	1.04941711166174
66	91.5	87.3447235135629	80.7916666666667	1.08111055406164	1.04757329715277
67	86.3	87.3979317912279	81.0166666666667	1.07876484416245	0.987437554084796
68	86.8	83.5884410780323	80.6041666666667	1.03702382314437	1.03842108885569
69	86.1	83.7619660415901	80.4583333333333	1.04106016830563	1.02791283525089
70	77.1	79.432550505898	80.4791666666667	0.986995191375383	0.970634828026518
71	75.7	73.3966749520591	79.9583333333333	0.917936528842845	1.03138187185517
72	78.7	72.0985821174623	78.6083333333333	0.917187517660922	1.09156099452528
73	71.5	69.8526906410856	77.0416666666667	0.90668716894865	1.02358261856195
74	69.6	71.2089132530694	75.2416666666666	0.946402657034924	0.977405732238161
75	73.6	72.4288546901564	73.2833333333333	0.98834006854887	1.01616959587244
76	78.1	73.3674714802242	71.8708333333333	1.02082399879725	1.06450445169085
77	78.3	76.0204600893837	70.5416666666667	1.07766747911708	1.02998587364423
78	71.5	74.2993228278859	68.725	1.08111055406164	0.962323710077809
79	68.7	72.0614915900518	66.8	1.07876484416245	0.953352456133231
80	61.2	67.6485207297841	65.2333333333333	1.03702382314437	0.904676101410374
81	64.7	66.6104997687549	63.9833333333333	1.04106016830563	0.971318339069855
82	64.6	61.5021378625786	62.3125	0.986995191375383	1.05036999111061
83	56.3	55.240655358655	60.1791666666667	0.917936528842845	1.01917690212882
84	54.5	53.315346078698	58.1291666666667	0.917187517660922	1.02221975488171
85	49.5	50.9218181260786	56.1625	0.90668716894865	0.972078410033235
86	54	51.6696417297026	54.5958333333333	0.946402657034924	1.04510111145125
87	59.2	52.4685033890881	53.0875	0.98834006854887	1.12829595235438
88	52.4	52.2959627717176	51.2291666666667	1.02082399879725	1.00198939311504
89	52.8	53.438836120718	49.5875	1.07766747911708	0.988045470914171
90	47.8	52.1770981153997	48.2625	1.08111055406164	0.916110740660225
91	45.2	NA	NA	1.07876484416245	NA
92	47.1	NA	NA	1.03702382314437	NA
93	42.6	NA	NA	1.04106016830563	NA
94	42.1	NA	NA	0.986995191375383	NA
95	39.4	NA	NA	0.917936528842845	NA
96	39.6	NA	NA	0.917187517660922	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 132 & NA & NA & 0.90668716894865 & NA \tabularnewline
2 & 133.7 & NA & NA & 0.946402657034924 & NA \tabularnewline
3 & 127 & NA & NA & 0.98834006854887 & NA \tabularnewline
4 & 128.7 & NA & NA & 1.02082399879725 & NA \tabularnewline
5 & 127.3 & NA & NA & 1.07766747911708 & NA \tabularnewline
6 & 136.7 & NA & NA & 1.08111055406164 & NA \tabularnewline
7 & 133.8 & 141.430565923215 & 131.104166666667 & 1.07876484416245 & 0.946047264441001 \tabularnewline
8 & 137.2 & 134.005082613234 & 129.220833333333 & 1.03702382314437 & 1.02384176274856 \tabularnewline
9 & 147.4 & 132.331760643749 & 127.1125 & 1.04106016830563 & 1.11386714181803 \tabularnewline
10 & 137.6 & 123.152325003863 & 124.775 & 0.986995191375383 & 1.11731548710658 \tabularnewline
11 & 123.6 & 112.106823320469 & 122.129166666667 & 0.917936528842845 & 1.10251986756128 \tabularnewline
12 & 117.4 & 109.221746894788 & 119.083333333333 & 0.917187517660922 & 1.07487751604165 \tabularnewline
13 & 113.7 & 104.903705447359 & 115.7 & 0.90668716894865 & 1.08385113295216 \tabularnewline
14 & 106.8 & 106.316508484661 & 112.3375 & 0.946402657034924 & 1.00454766171529 \tabularnewline
15 & 103.3 & 107.642587715829 & 108.9125 & 0.98834006854887 & 0.959657345591755 \tabularnewline
16 & 96.3 & 107.858562339586 & 105.658333333333 & 1.02082399879725 & 0.89283593171588 \tabularnewline
17 & 96.2 & 110.865041914169 & 102.875 & 1.07766747911708 & 0.86772167618425 \tabularnewline
18 & 94.7 & 109.002971613264 & 100.825 & 1.08111055406164 & 0.868783654229076 \tabularnewline
19 & 94.6 & 107.004482833881 & 99.1916666666667 & 1.07876484416245 & 0.884075110636833 \tabularnewline
20 & 95.7 & 101.645618398534 & 98.0166666666667 & 1.03702382314437 & 0.941506397499379 \tabularnewline
21 & 106.7 & 101.238763617021 & 97.2458333333333 & 1.04106016830563 & 1.05394412365246 \tabularnewline
22 & 100.2 & 95.1710113283713 & 96.425 & 0.986995191375383 & 1.05284160167508 \tabularnewline
23 & 94.2 & 87.9191957854603 & 95.7791666666667 & 0.917936528842845 & 1.07143837200088 \tabularnewline
24 & 97.6 & 87.1442790217583 & 95.0125 & 0.917187517660922 & 1.11998172565787 \tabularnewline
25 & 94.3 & 85.394819862147 & 94.1833333333333 & 0.90668716894865 & 1.10428243952301 \tabularnewline
26 & 98 & 87.9957303822264 & 92.9791666666666 & 0.946402657034924 & 1.11369039809452 \tabularnewline
27 & 93.6 & 89.2059273537734 & 90.2583333333333 & 0.98834006854887 & 1.0492576309285 \tabularnewline
28 & 86.3 & 88.5437215956767 & 86.7375 & 1.02082399879725 & 0.974659732443568 \tabularnewline
29 & 90.7 & 89.7741912916153 & 83.3041666666666 & 1.07766747911708 & 1.01031263768645 \tabularnewline
30 & 81.8 & 86.2636129595013 & 79.7916666666667 & 1.08111055406164 & 0.948256132494742 \tabularnewline
31 & 87.6 & 82.2603142209043 & 76.2541666666666 & 1.07876484416245 & 1.06491205181585 \tabularnewline
32 & 73.8 & 75.9490322475355 & 73.2375 & 1.03702382314437 & 0.971704283992305 \tabularnewline
33 & 63.3 & 74.7828220899541 & 71.8333333333333 & 1.04106016830563 & 0.84645107299987 \tabularnewline
34 & 59.1 & 72.4002097673484 & 73.3541666666667 & 0.986995191375383 & 0.816295977455211 \tabularnewline
35 & 52.9 & 70.9029473820361 & 77.2416666666667 & 0.917936528842845 & 0.746090281902762 \tabularnewline
36 & 54.6 & 76.1800665710534 & 83.0583333333333 & 0.917187517660922 & 0.716722923168811 \tabularnewline
37 & 52.4 & 81.5262879412995 & 89.9166666666667 & 0.90668716894865 & 0.642737469388144 \tabularnewline
38 & 67.5 & 91.4382700471909 & 96.6166666666667 & 0.946402657034924 & 0.738202942434973 \tabularnewline
39 & 90.4 & 101.910215318245 & 103.1125 & 0.98834006854887 & 0.887055333144953 \tabularnewline
40 & 126 & 111.380405135437 & 109.108333333333 & 1.02082399879725 & 1.13125823026758 \tabularnewline
41 & 144.3 & 123.657852947521 & 114.745833333333 & 1.07766747911708 & 1.16692952821394 \tabularnewline
42 & 167.8 & 129.692724841619 & 119.9625 & 1.08111055406164 & 1.29382739243792 \tabularnewline
43 & 166.2 & 134.827626106237 & 124.983333333333 & 1.07876484416245 & 1.23268505720811 \tabularnewline
44 & 156 & 134.303226962388 & 129.508333333333 & 1.03702382314437 & 1.16155064571671 \tabularnewline
45 & 137 & 137.502359479667 & 132.079166666667 & 1.04106016830563 & 0.996346539204362 \tabularnewline
46 & 129.3 & 129.719955506474 & 131.429166666667 & 0.986995191375383 & 0.996762599055526 \tabularnewline
47 & 118 & 117.407906774537 & 127.904166666667 & 0.917936528842845 & 1.00504304387779 \tabularnewline
48 & 114.7 & 112.332541225521 & 122.475 & 0.917187517660922 & 1.02107544927454 \tabularnewline
49 & 112.8 & 105.202156640471 & 116.029166666667 & 0.90668716894865 & 1.07222136505713 \tabularnewline
50 & 115.7 & 103.753334621858 & 109.629166666667 & 0.946402657034924 & 1.11514488109402 \tabularnewline
51 & 103.9 & 103.067396815171 & 104.283333333333 & 0.98834006854887 & 1.00807824016669 \tabularnewline
52 & 96.9 & 101.890995379951 & 99.8125 & 1.02082399879725 & 0.951016325227373 \tabularnewline
53 & 88.8 & 103.164209719645 & 95.7291666666667 & 1.07766747911708 & 0.860763633447291 \tabularnewline
54 & 93 & 99.3270321544127 & 91.875 & 1.08111055406164 & 0.936301004699538 \tabularnewline
55 & 86.3 & 95.3942761985821 & 88.4291666666667 & 1.07876484416245 & 0.904666437432256 \tabularnewline
56 & 82.3 & 88.3544297319 & 85.2 & 1.03702382314437 & 0.931475651529059 \tabularnewline
57 & 82.4 & 85.5361060784109 & 82.1625 & 1.04106016830563 & 0.963335879756602 \tabularnewline
58 & 76.6 & 79.0542023492041 & 80.0958333333333 & 0.986995191375383 & 0.968955447322544 \tabularnewline
59 & 72.7 & 72.880335654585 & 79.3958333333333 & 0.917936528842845 & 0.997525592425374 \tabularnewline
60 & 67.5 & 72.8361537462479 & 79.4125 & 0.917187517660922 & 0.926737568202209 \tabularnewline
61 & 77.3 & 71.9456268560754 & 79.35 & 0.90668716894865 & 1.07442249623644 \tabularnewline
62 & 73.7 & 75.2745013339153 & 79.5375 & 0.946402657034924 & 0.979083204723857 \tabularnewline
63 & 73 & 78.94778105896 & 79.8791666666667 & 0.98834006854887 & 0.924661833693362 \tabularnewline
64 & 78.2 & 81.7212145370484 & 80.0541666666667 & 1.02082399879725 & 0.956911867291791 \tabularnewline
65 & 90.7 & 86.4289318251894 & 80.2 & 1.07766747911708 & 1.04941711166174 \tabularnewline
66 & 91.5 & 87.3447235135629 & 80.7916666666667 & 1.08111055406164 & 1.04757329715277 \tabularnewline
67 & 86.3 & 87.3979317912279 & 81.0166666666667 & 1.07876484416245 & 0.987437554084796 \tabularnewline
68 & 86.8 & 83.5884410780323 & 80.6041666666667 & 1.03702382314437 & 1.03842108885569 \tabularnewline
69 & 86.1 & 83.7619660415901 & 80.4583333333333 & 1.04106016830563 & 1.02791283525089 \tabularnewline
70 & 77.1 & 79.432550505898 & 80.4791666666667 & 0.986995191375383 & 0.970634828026518 \tabularnewline
71 & 75.7 & 73.3966749520591 & 79.9583333333333 & 0.917936528842845 & 1.03138187185517 \tabularnewline
72 & 78.7 & 72.0985821174623 & 78.6083333333333 & 0.917187517660922 & 1.09156099452528 \tabularnewline
73 & 71.5 & 69.8526906410856 & 77.0416666666667 & 0.90668716894865 & 1.02358261856195 \tabularnewline
74 & 69.6 & 71.2089132530694 & 75.2416666666666 & 0.946402657034924 & 0.977405732238161 \tabularnewline
75 & 73.6 & 72.4288546901564 & 73.2833333333333 & 0.98834006854887 & 1.01616959587244 \tabularnewline
76 & 78.1 & 73.3674714802242 & 71.8708333333333 & 1.02082399879725 & 1.06450445169085 \tabularnewline
77 & 78.3 & 76.0204600893837 & 70.5416666666667 & 1.07766747911708 & 1.02998587364423 \tabularnewline
78 & 71.5 & 74.2993228278859 & 68.725 & 1.08111055406164 & 0.962323710077809 \tabularnewline
79 & 68.7 & 72.0614915900518 & 66.8 & 1.07876484416245 & 0.953352456133231 \tabularnewline
80 & 61.2 & 67.6485207297841 & 65.2333333333333 & 1.03702382314437 & 0.904676101410374 \tabularnewline
81 & 64.7 & 66.6104997687549 & 63.9833333333333 & 1.04106016830563 & 0.971318339069855 \tabularnewline
82 & 64.6 & 61.5021378625786 & 62.3125 & 0.986995191375383 & 1.05036999111061 \tabularnewline
83 & 56.3 & 55.240655358655 & 60.1791666666667 & 0.917936528842845 & 1.01917690212882 \tabularnewline
84 & 54.5 & 53.315346078698 & 58.1291666666667 & 0.917187517660922 & 1.02221975488171 \tabularnewline
85 & 49.5 & 50.9218181260786 & 56.1625 & 0.90668716894865 & 0.972078410033235 \tabularnewline
86 & 54 & 51.6696417297026 & 54.5958333333333 & 0.946402657034924 & 1.04510111145125 \tabularnewline
87 & 59.2 & 52.4685033890881 & 53.0875 & 0.98834006854887 & 1.12829595235438 \tabularnewline
88 & 52.4 & 52.2959627717176 & 51.2291666666667 & 1.02082399879725 & 1.00198939311504 \tabularnewline
89 & 52.8 & 53.438836120718 & 49.5875 & 1.07766747911708 & 0.988045470914171 \tabularnewline
90 & 47.8 & 52.1770981153997 & 48.2625 & 1.08111055406164 & 0.916110740660225 \tabularnewline
91 & 45.2 & NA & NA & 1.07876484416245 & NA \tabularnewline
92 & 47.1 & NA & NA & 1.03702382314437 & NA \tabularnewline
93 & 42.6 & NA & NA & 1.04106016830563 & NA \tabularnewline
94 & 42.1 & NA & NA & 0.986995191375383 & NA \tabularnewline
95 & 39.4 & NA & NA & 0.917936528842845 & NA \tabularnewline
96 & 39.6 & NA & NA & 0.917187517660922 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204776&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]132[/C][C]NA[/C][C]NA[/C][C]0.90668716894865[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]133.7[/C][C]NA[/C][C]NA[/C][C]0.946402657034924[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]127[/C][C]NA[/C][C]NA[/C][C]0.98834006854887[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]128.7[/C][C]NA[/C][C]NA[/C][C]1.02082399879725[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]127.3[/C][C]NA[/C][C]NA[/C][C]1.07766747911708[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]136.7[/C][C]NA[/C][C]NA[/C][C]1.08111055406164[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]133.8[/C][C]141.430565923215[/C][C]131.104166666667[/C][C]1.07876484416245[/C][C]0.946047264441001[/C][/ROW]
[ROW][C]8[/C][C]137.2[/C][C]134.005082613234[/C][C]129.220833333333[/C][C]1.03702382314437[/C][C]1.02384176274856[/C][/ROW]
[ROW][C]9[/C][C]147.4[/C][C]132.331760643749[/C][C]127.1125[/C][C]1.04106016830563[/C][C]1.11386714181803[/C][/ROW]
[ROW][C]10[/C][C]137.6[/C][C]123.152325003863[/C][C]124.775[/C][C]0.986995191375383[/C][C]1.11731548710658[/C][/ROW]
[ROW][C]11[/C][C]123.6[/C][C]112.106823320469[/C][C]122.129166666667[/C][C]0.917936528842845[/C][C]1.10251986756128[/C][/ROW]
[ROW][C]12[/C][C]117.4[/C][C]109.221746894788[/C][C]119.083333333333[/C][C]0.917187517660922[/C][C]1.07487751604165[/C][/ROW]
[ROW][C]13[/C][C]113.7[/C][C]104.903705447359[/C][C]115.7[/C][C]0.90668716894865[/C][C]1.08385113295216[/C][/ROW]
[ROW][C]14[/C][C]106.8[/C][C]106.316508484661[/C][C]112.3375[/C][C]0.946402657034924[/C][C]1.00454766171529[/C][/ROW]
[ROW][C]15[/C][C]103.3[/C][C]107.642587715829[/C][C]108.9125[/C][C]0.98834006854887[/C][C]0.959657345591755[/C][/ROW]
[ROW][C]16[/C][C]96.3[/C][C]107.858562339586[/C][C]105.658333333333[/C][C]1.02082399879725[/C][C]0.89283593171588[/C][/ROW]
[ROW][C]17[/C][C]96.2[/C][C]110.865041914169[/C][C]102.875[/C][C]1.07766747911708[/C][C]0.86772167618425[/C][/ROW]
[ROW][C]18[/C][C]94.7[/C][C]109.002971613264[/C][C]100.825[/C][C]1.08111055406164[/C][C]0.868783654229076[/C][/ROW]
[ROW][C]19[/C][C]94.6[/C][C]107.004482833881[/C][C]99.1916666666667[/C][C]1.07876484416245[/C][C]0.884075110636833[/C][/ROW]
[ROW][C]20[/C][C]95.7[/C][C]101.645618398534[/C][C]98.0166666666667[/C][C]1.03702382314437[/C][C]0.941506397499379[/C][/ROW]
[ROW][C]21[/C][C]106.7[/C][C]101.238763617021[/C][C]97.2458333333333[/C][C]1.04106016830563[/C][C]1.05394412365246[/C][/ROW]
[ROW][C]22[/C][C]100.2[/C][C]95.1710113283713[/C][C]96.425[/C][C]0.986995191375383[/C][C]1.05284160167508[/C][/ROW]
[ROW][C]23[/C][C]94.2[/C][C]87.9191957854603[/C][C]95.7791666666667[/C][C]0.917936528842845[/C][C]1.07143837200088[/C][/ROW]
[ROW][C]24[/C][C]97.6[/C][C]87.1442790217583[/C][C]95.0125[/C][C]0.917187517660922[/C][C]1.11998172565787[/C][/ROW]
[ROW][C]25[/C][C]94.3[/C][C]85.394819862147[/C][C]94.1833333333333[/C][C]0.90668716894865[/C][C]1.10428243952301[/C][/ROW]
[ROW][C]26[/C][C]98[/C][C]87.9957303822264[/C][C]92.9791666666666[/C][C]0.946402657034924[/C][C]1.11369039809452[/C][/ROW]
[ROW][C]27[/C][C]93.6[/C][C]89.2059273537734[/C][C]90.2583333333333[/C][C]0.98834006854887[/C][C]1.0492576309285[/C][/ROW]
[ROW][C]28[/C][C]86.3[/C][C]88.5437215956767[/C][C]86.7375[/C][C]1.02082399879725[/C][C]0.974659732443568[/C][/ROW]
[ROW][C]29[/C][C]90.7[/C][C]89.7741912916153[/C][C]83.3041666666666[/C][C]1.07766747911708[/C][C]1.01031263768645[/C][/ROW]
[ROW][C]30[/C][C]81.8[/C][C]86.2636129595013[/C][C]79.7916666666667[/C][C]1.08111055406164[/C][C]0.948256132494742[/C][/ROW]
[ROW][C]31[/C][C]87.6[/C][C]82.2603142209043[/C][C]76.2541666666666[/C][C]1.07876484416245[/C][C]1.06491205181585[/C][/ROW]
[ROW][C]32[/C][C]73.8[/C][C]75.9490322475355[/C][C]73.2375[/C][C]1.03702382314437[/C][C]0.971704283992305[/C][/ROW]
[ROW][C]33[/C][C]63.3[/C][C]74.7828220899541[/C][C]71.8333333333333[/C][C]1.04106016830563[/C][C]0.84645107299987[/C][/ROW]
[ROW][C]34[/C][C]59.1[/C][C]72.4002097673484[/C][C]73.3541666666667[/C][C]0.986995191375383[/C][C]0.816295977455211[/C][/ROW]
[ROW][C]35[/C][C]52.9[/C][C]70.9029473820361[/C][C]77.2416666666667[/C][C]0.917936528842845[/C][C]0.746090281902762[/C][/ROW]
[ROW][C]36[/C][C]54.6[/C][C]76.1800665710534[/C][C]83.0583333333333[/C][C]0.917187517660922[/C][C]0.716722923168811[/C][/ROW]
[ROW][C]37[/C][C]52.4[/C][C]81.5262879412995[/C][C]89.9166666666667[/C][C]0.90668716894865[/C][C]0.642737469388144[/C][/ROW]
[ROW][C]38[/C][C]67.5[/C][C]91.4382700471909[/C][C]96.6166666666667[/C][C]0.946402657034924[/C][C]0.738202942434973[/C][/ROW]
[ROW][C]39[/C][C]90.4[/C][C]101.910215318245[/C][C]103.1125[/C][C]0.98834006854887[/C][C]0.887055333144953[/C][/ROW]
[ROW][C]40[/C][C]126[/C][C]111.380405135437[/C][C]109.108333333333[/C][C]1.02082399879725[/C][C]1.13125823026758[/C][/ROW]
[ROW][C]41[/C][C]144.3[/C][C]123.657852947521[/C][C]114.745833333333[/C][C]1.07766747911708[/C][C]1.16692952821394[/C][/ROW]
[ROW][C]42[/C][C]167.8[/C][C]129.692724841619[/C][C]119.9625[/C][C]1.08111055406164[/C][C]1.29382739243792[/C][/ROW]
[ROW][C]43[/C][C]166.2[/C][C]134.827626106237[/C][C]124.983333333333[/C][C]1.07876484416245[/C][C]1.23268505720811[/C][/ROW]
[ROW][C]44[/C][C]156[/C][C]134.303226962388[/C][C]129.508333333333[/C][C]1.03702382314437[/C][C]1.16155064571671[/C][/ROW]
[ROW][C]45[/C][C]137[/C][C]137.502359479667[/C][C]132.079166666667[/C][C]1.04106016830563[/C][C]0.996346539204362[/C][/ROW]
[ROW][C]46[/C][C]129.3[/C][C]129.719955506474[/C][C]131.429166666667[/C][C]0.986995191375383[/C][C]0.996762599055526[/C][/ROW]
[ROW][C]47[/C][C]118[/C][C]117.407906774537[/C][C]127.904166666667[/C][C]0.917936528842845[/C][C]1.00504304387779[/C][/ROW]
[ROW][C]48[/C][C]114.7[/C][C]112.332541225521[/C][C]122.475[/C][C]0.917187517660922[/C][C]1.02107544927454[/C][/ROW]
[ROW][C]49[/C][C]112.8[/C][C]105.202156640471[/C][C]116.029166666667[/C][C]0.90668716894865[/C][C]1.07222136505713[/C][/ROW]
[ROW][C]50[/C][C]115.7[/C][C]103.753334621858[/C][C]109.629166666667[/C][C]0.946402657034924[/C][C]1.11514488109402[/C][/ROW]
[ROW][C]51[/C][C]103.9[/C][C]103.067396815171[/C][C]104.283333333333[/C][C]0.98834006854887[/C][C]1.00807824016669[/C][/ROW]
[ROW][C]52[/C][C]96.9[/C][C]101.890995379951[/C][C]99.8125[/C][C]1.02082399879725[/C][C]0.951016325227373[/C][/ROW]
[ROW][C]53[/C][C]88.8[/C][C]103.164209719645[/C][C]95.7291666666667[/C][C]1.07766747911708[/C][C]0.860763633447291[/C][/ROW]
[ROW][C]54[/C][C]93[/C][C]99.3270321544127[/C][C]91.875[/C][C]1.08111055406164[/C][C]0.936301004699538[/C][/ROW]
[ROW][C]55[/C][C]86.3[/C][C]95.3942761985821[/C][C]88.4291666666667[/C][C]1.07876484416245[/C][C]0.904666437432256[/C][/ROW]
[ROW][C]56[/C][C]82.3[/C][C]88.3544297319[/C][C]85.2[/C][C]1.03702382314437[/C][C]0.931475651529059[/C][/ROW]
[ROW][C]57[/C][C]82.4[/C][C]85.5361060784109[/C][C]82.1625[/C][C]1.04106016830563[/C][C]0.963335879756602[/C][/ROW]
[ROW][C]58[/C][C]76.6[/C][C]79.0542023492041[/C][C]80.0958333333333[/C][C]0.986995191375383[/C][C]0.968955447322544[/C][/ROW]
[ROW][C]59[/C][C]72.7[/C][C]72.880335654585[/C][C]79.3958333333333[/C][C]0.917936528842845[/C][C]0.997525592425374[/C][/ROW]
[ROW][C]60[/C][C]67.5[/C][C]72.8361537462479[/C][C]79.4125[/C][C]0.917187517660922[/C][C]0.926737568202209[/C][/ROW]
[ROW][C]61[/C][C]77.3[/C][C]71.9456268560754[/C][C]79.35[/C][C]0.90668716894865[/C][C]1.07442249623644[/C][/ROW]
[ROW][C]62[/C][C]73.7[/C][C]75.2745013339153[/C][C]79.5375[/C][C]0.946402657034924[/C][C]0.979083204723857[/C][/ROW]
[ROW][C]63[/C][C]73[/C][C]78.94778105896[/C][C]79.8791666666667[/C][C]0.98834006854887[/C][C]0.924661833693362[/C][/ROW]
[ROW][C]64[/C][C]78.2[/C][C]81.7212145370484[/C][C]80.0541666666667[/C][C]1.02082399879725[/C][C]0.956911867291791[/C][/ROW]
[ROW][C]65[/C][C]90.7[/C][C]86.4289318251894[/C][C]80.2[/C][C]1.07766747911708[/C][C]1.04941711166174[/C][/ROW]
[ROW][C]66[/C][C]91.5[/C][C]87.3447235135629[/C][C]80.7916666666667[/C][C]1.08111055406164[/C][C]1.04757329715277[/C][/ROW]
[ROW][C]67[/C][C]86.3[/C][C]87.3979317912279[/C][C]81.0166666666667[/C][C]1.07876484416245[/C][C]0.987437554084796[/C][/ROW]
[ROW][C]68[/C][C]86.8[/C][C]83.5884410780323[/C][C]80.6041666666667[/C][C]1.03702382314437[/C][C]1.03842108885569[/C][/ROW]
[ROW][C]69[/C][C]86.1[/C][C]83.7619660415901[/C][C]80.4583333333333[/C][C]1.04106016830563[/C][C]1.02791283525089[/C][/ROW]
[ROW][C]70[/C][C]77.1[/C][C]79.432550505898[/C][C]80.4791666666667[/C][C]0.986995191375383[/C][C]0.970634828026518[/C][/ROW]
[ROW][C]71[/C][C]75.7[/C][C]73.3966749520591[/C][C]79.9583333333333[/C][C]0.917936528842845[/C][C]1.03138187185517[/C][/ROW]
[ROW][C]72[/C][C]78.7[/C][C]72.0985821174623[/C][C]78.6083333333333[/C][C]0.917187517660922[/C][C]1.09156099452528[/C][/ROW]
[ROW][C]73[/C][C]71.5[/C][C]69.8526906410856[/C][C]77.0416666666667[/C][C]0.90668716894865[/C][C]1.02358261856195[/C][/ROW]
[ROW][C]74[/C][C]69.6[/C][C]71.2089132530694[/C][C]75.2416666666666[/C][C]0.946402657034924[/C][C]0.977405732238161[/C][/ROW]
[ROW][C]75[/C][C]73.6[/C][C]72.4288546901564[/C][C]73.2833333333333[/C][C]0.98834006854887[/C][C]1.01616959587244[/C][/ROW]
[ROW][C]76[/C][C]78.1[/C][C]73.3674714802242[/C][C]71.8708333333333[/C][C]1.02082399879725[/C][C]1.06450445169085[/C][/ROW]
[ROW][C]77[/C][C]78.3[/C][C]76.0204600893837[/C][C]70.5416666666667[/C][C]1.07766747911708[/C][C]1.02998587364423[/C][/ROW]
[ROW][C]78[/C][C]71.5[/C][C]74.2993228278859[/C][C]68.725[/C][C]1.08111055406164[/C][C]0.962323710077809[/C][/ROW]
[ROW][C]79[/C][C]68.7[/C][C]72.0614915900518[/C][C]66.8[/C][C]1.07876484416245[/C][C]0.953352456133231[/C][/ROW]
[ROW][C]80[/C][C]61.2[/C][C]67.6485207297841[/C][C]65.2333333333333[/C][C]1.03702382314437[/C][C]0.904676101410374[/C][/ROW]
[ROW][C]81[/C][C]64.7[/C][C]66.6104997687549[/C][C]63.9833333333333[/C][C]1.04106016830563[/C][C]0.971318339069855[/C][/ROW]
[ROW][C]82[/C][C]64.6[/C][C]61.5021378625786[/C][C]62.3125[/C][C]0.986995191375383[/C][C]1.05036999111061[/C][/ROW]
[ROW][C]83[/C][C]56.3[/C][C]55.240655358655[/C][C]60.1791666666667[/C][C]0.917936528842845[/C][C]1.01917690212882[/C][/ROW]
[ROW][C]84[/C][C]54.5[/C][C]53.315346078698[/C][C]58.1291666666667[/C][C]0.917187517660922[/C][C]1.02221975488171[/C][/ROW]
[ROW][C]85[/C][C]49.5[/C][C]50.9218181260786[/C][C]56.1625[/C][C]0.90668716894865[/C][C]0.972078410033235[/C][/ROW]
[ROW][C]86[/C][C]54[/C][C]51.6696417297026[/C][C]54.5958333333333[/C][C]0.946402657034924[/C][C]1.04510111145125[/C][/ROW]
[ROW][C]87[/C][C]59.2[/C][C]52.4685033890881[/C][C]53.0875[/C][C]0.98834006854887[/C][C]1.12829595235438[/C][/ROW]
[ROW][C]88[/C][C]52.4[/C][C]52.2959627717176[/C][C]51.2291666666667[/C][C]1.02082399879725[/C][C]1.00198939311504[/C][/ROW]
[ROW][C]89[/C][C]52.8[/C][C]53.438836120718[/C][C]49.5875[/C][C]1.07766747911708[/C][C]0.988045470914171[/C][/ROW]
[ROW][C]90[/C][C]47.8[/C][C]52.1770981153997[/C][C]48.2625[/C][C]1.08111055406164[/C][C]0.916110740660225[/C][/ROW]
[ROW][C]91[/C][C]45.2[/C][C]NA[/C][C]NA[/C][C]1.07876484416245[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]47.1[/C][C]NA[/C][C]NA[/C][C]1.03702382314437[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]42.6[/C][C]NA[/C][C]NA[/C][C]1.04106016830563[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]42.1[/C][C]NA[/C][C]NA[/C][C]0.986995191375383[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]39.4[/C][C]NA[/C][C]NA[/C][C]0.917936528842845[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]39.6[/C][C]NA[/C][C]NA[/C][C]0.917187517660922[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204776&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204776&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	132	NA	NA	0.90668716894865	NA
2	133.7	NA	NA	0.946402657034924	NA
3	127	NA	NA	0.98834006854887	NA
4	128.7	NA	NA	1.02082399879725	NA
5	127.3	NA	NA	1.07766747911708	NA
6	136.7	NA	NA	1.08111055406164	NA
7	133.8	141.430565923215	131.104166666667	1.07876484416245	0.946047264441001
8	137.2	134.005082613234	129.220833333333	1.03702382314437	1.02384176274856
9	147.4	132.331760643749	127.1125	1.04106016830563	1.11386714181803
10	137.6	123.152325003863	124.775	0.986995191375383	1.11731548710658
11	123.6	112.106823320469	122.129166666667	0.917936528842845	1.10251986756128
12	117.4	109.221746894788	119.083333333333	0.917187517660922	1.07487751604165
13	113.7	104.903705447359	115.7	0.90668716894865	1.08385113295216
14	106.8	106.316508484661	112.3375	0.946402657034924	1.00454766171529
15	103.3	107.642587715829	108.9125	0.98834006854887	0.959657345591755
16	96.3	107.858562339586	105.658333333333	1.02082399879725	0.89283593171588
17	96.2	110.865041914169	102.875	1.07766747911708	0.86772167618425
18	94.7	109.002971613264	100.825	1.08111055406164	0.868783654229076
19	94.6	107.004482833881	99.1916666666667	1.07876484416245	0.884075110636833
20	95.7	101.645618398534	98.0166666666667	1.03702382314437	0.941506397499379
21	106.7	101.238763617021	97.2458333333333	1.04106016830563	1.05394412365246
22	100.2	95.1710113283713	96.425	0.986995191375383	1.05284160167508
23	94.2	87.9191957854603	95.7791666666667	0.917936528842845	1.07143837200088
24	97.6	87.1442790217583	95.0125	0.917187517660922	1.11998172565787
25	94.3	85.394819862147	94.1833333333333	0.90668716894865	1.10428243952301
26	98	87.9957303822264	92.9791666666666	0.946402657034924	1.11369039809452
27	93.6	89.2059273537734	90.2583333333333	0.98834006854887	1.0492576309285
28	86.3	88.5437215956767	86.7375	1.02082399879725	0.974659732443568
29	90.7	89.7741912916153	83.3041666666666	1.07766747911708	1.01031263768645
30	81.8	86.2636129595013	79.7916666666667	1.08111055406164	0.948256132494742
31	87.6	82.2603142209043	76.2541666666666	1.07876484416245	1.06491205181585
32	73.8	75.9490322475355	73.2375	1.03702382314437	0.971704283992305
33	63.3	74.7828220899541	71.8333333333333	1.04106016830563	0.84645107299987
34	59.1	72.4002097673484	73.3541666666667	0.986995191375383	0.816295977455211
35	52.9	70.9029473820361	77.2416666666667	0.917936528842845	0.746090281902762
36	54.6	76.1800665710534	83.0583333333333	0.917187517660922	0.716722923168811
37	52.4	81.5262879412995	89.9166666666667	0.90668716894865	0.642737469388144
38	67.5	91.4382700471909	96.6166666666667	0.946402657034924	0.738202942434973
39	90.4	101.910215318245	103.1125	0.98834006854887	0.887055333144953
40	126	111.380405135437	109.108333333333	1.02082399879725	1.13125823026758
41	144.3	123.657852947521	114.745833333333	1.07766747911708	1.16692952821394
42	167.8	129.692724841619	119.9625	1.08111055406164	1.29382739243792
43	166.2	134.827626106237	124.983333333333	1.07876484416245	1.23268505720811
44	156	134.303226962388	129.508333333333	1.03702382314437	1.16155064571671
45	137	137.502359479667	132.079166666667	1.04106016830563	0.996346539204362
46	129.3	129.719955506474	131.429166666667	0.986995191375383	0.996762599055526
47	118	117.407906774537	127.904166666667	0.917936528842845	1.00504304387779
48	114.7	112.332541225521	122.475	0.917187517660922	1.02107544927454
49	112.8	105.202156640471	116.029166666667	0.90668716894865	1.07222136505713
50	115.7	103.753334621858	109.629166666667	0.946402657034924	1.11514488109402
51	103.9	103.067396815171	104.283333333333	0.98834006854887	1.00807824016669
52	96.9	101.890995379951	99.8125	1.02082399879725	0.951016325227373
53	88.8	103.164209719645	95.7291666666667	1.07766747911708	0.860763633447291
54	93	99.3270321544127	91.875	1.08111055406164	0.936301004699538
55	86.3	95.3942761985821	88.4291666666667	1.07876484416245	0.904666437432256
56	82.3	88.3544297319	85.2	1.03702382314437	0.931475651529059
57	82.4	85.5361060784109	82.1625	1.04106016830563	0.963335879756602
58	76.6	79.0542023492041	80.0958333333333	0.986995191375383	0.968955447322544
59	72.7	72.880335654585	79.3958333333333	0.917936528842845	0.997525592425374
60	67.5	72.8361537462479	79.4125	0.917187517660922	0.926737568202209
61	77.3	71.9456268560754	79.35	0.90668716894865	1.07442249623644
62	73.7	75.2745013339153	79.5375	0.946402657034924	0.979083204723857
63	73	78.94778105896	79.8791666666667	0.98834006854887	0.924661833693362
64	78.2	81.7212145370484	80.0541666666667	1.02082399879725	0.956911867291791
65	90.7	86.4289318251894	80.2	1.07766747911708	1.04941711166174
66	91.5	87.3447235135629	80.7916666666667	1.08111055406164	1.04757329715277
67	86.3	87.3979317912279	81.0166666666667	1.07876484416245	0.987437554084796
68	86.8	83.5884410780323	80.6041666666667	1.03702382314437	1.03842108885569
69	86.1	83.7619660415901	80.4583333333333	1.04106016830563	1.02791283525089
70	77.1	79.432550505898	80.4791666666667	0.986995191375383	0.970634828026518
71	75.7	73.3966749520591	79.9583333333333	0.917936528842845	1.03138187185517
72	78.7	72.0985821174623	78.6083333333333	0.917187517660922	1.09156099452528
73	71.5	69.8526906410856	77.0416666666667	0.90668716894865	1.02358261856195
74	69.6	71.2089132530694	75.2416666666666	0.946402657034924	0.977405732238161
75	73.6	72.4288546901564	73.2833333333333	0.98834006854887	1.01616959587244
76	78.1	73.3674714802242	71.8708333333333	1.02082399879725	1.06450445169085
77	78.3	76.0204600893837	70.5416666666667	1.07766747911708	1.02998587364423
78	71.5	74.2993228278859	68.725	1.08111055406164	0.962323710077809
79	68.7	72.0614915900518	66.8	1.07876484416245	0.953352456133231
80	61.2	67.6485207297841	65.2333333333333	1.03702382314437	0.904676101410374
81	64.7	66.6104997687549	63.9833333333333	1.04106016830563	0.971318339069855
82	64.6	61.5021378625786	62.3125	0.986995191375383	1.05036999111061
83	56.3	55.240655358655	60.1791666666667	0.917936528842845	1.01917690212882
84	54.5	53.315346078698	58.1291666666667	0.917187517660922	1.02221975488171
85	49.5	50.9218181260786	56.1625	0.90668716894865	0.972078410033235
86	54	51.6696417297026	54.5958333333333	0.946402657034924	1.04510111145125
87	59.2	52.4685033890881	53.0875	0.98834006854887	1.12829595235438
88	52.4	52.2959627717176	51.2291666666667	1.02082399879725	1.00198939311504
89	52.8	53.438836120718	49.5875	1.07766747911708	0.988045470914171
90	47.8	52.1770981153997	48.2625	1.08111055406164	0.916110740660225
91	45.2	NA	NA	1.07876484416245	NA
92	47.1	NA	NA	1.03702382314437	NA
93	42.6	NA	NA	1.04106016830563	NA
94	42.1	NA	NA	0.986995191375383	NA
95	39.4	NA	NA	0.917936528842845	NA
96	39.6	NA	NA	0.917187517660922	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