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*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 19 May 2008 08:38:53 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/May/19/t1211207990jzyppkbid8ktcw2.htm/, Retrieved Tue, 14 May 2024 09:04:11 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=12879, Retrieved Tue, 14 May 2024 09:04:11 +0000

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Original text written by user:

tomas van gastel

IsPrivate?

No (this computation is public)

User-defined keywords

inkom multi

Estimated Impact

212

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

-       [Classical Decomposition] [voetbal prijzen] [2008-05-19 14:38:53] [c0c8a7bf52d32ed636461b577d7f50ce] [Current]

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Dataseries X:

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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	4 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12879&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12879&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12879&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	4 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	14.32	NA	NA	1.00250392959128	NA
2	14.32	NA	NA	0.997820351868637	NA
3	14.32	NA	NA	0.993066155881645	NA
4	14.32	NA	NA	0.98842123559919	NA
5	14.32	NA	NA	0.98382402218721	NA
6	14.32	NA	NA	0.979273733192445	NA
7	14.32	14.1625900371554	14.5291666666667	0.974769603933839	1.01111448982366
8	14.67	14.9385220360295	14.5691666666667	1.02535185284193	0.982024859261053
9	14.8	14.9110136507470	14.6091666666667	1.02066147857489	0.992554922599684
10	14.8	14.8838173270669	14.6491666666667	1.01601802107516	0.994368559810628
11	14.8	14.8569277135423	14.6891666666667	1.01142073275377	0.996168271486548
12	14.8	14.8303395818230	14.7291666666667	1.00686888250000	0.997954222042215
13	14.8	14.8061476201219	14.7691666666667	1.00250392959128	0.999584792730719
14	14.8	14.7939339918924	14.82625	0.997820351868637	1.00041003347121
15	14.8	14.7917203918571	14.895	0.993066155881645	1.00055974612307
16	14.8	14.7851343158379	14.9583333333333	0.98842123559919	1.00100544802939
17	14.8	14.7786765199555	15.0216666666667	0.98382402218721	1.00144285450836
18	14.8	14.7723442652080	15.085	0.979273733192445	1.00187212904705
19	14.8	14.7661348835911	15.1483333333333	0.974769603933839	1.00229343133297
20	15.56	15.5973106014804	15.2116666666667	1.02535185284193	0.99760788238218
21	15.56	15.5906040852314	15.275	1.02066147857489	0.99803701735583
22	15.56	15.5840230799246	15.3383333333333	1.01601802107516	0.998458480213912
23	15.56	15.5775649856293	15.4016666666667	1.01142073275377	0.998872417759416
24	15.56	15.5712272678625	15.465	1.00686888250000	0.999278973476566
25	15.56	15.5672151866700	15.5283333333333	1.00250392959128	0.999536513976106
26	15.56	15.5776387265892	15.6116666666667	0.997820351868637	0.998867689327067
27	15.56	15.6060346396801	15.715	0.993066155881645	0.997050202646417
28	15.56	15.6351765784532	15.8183333333333	0.98842123559919	0.995191830544672
29	15.56	15.664118139924	15.9216666666667	0.98382402218721	0.993353080014211
30	15.56	15.6928615744089	16.025	0.979273733192445	0.991533629875026
31	15.56	15.7214090954463	16.1283333333333	0.974769603933839	0.98973316612612
32	16.8	16.6431694913792	16.2316666666667	1.02535185284193	1.00942311551307
33	16.8	16.6725052525208	16.335	1.02066147857489	1.00764700598669
34	16.8	16.7016429031072	16.4383333333333	1.01601802107516	1.00588906716922
35	16.8	16.7305846209686	16.5416666666667	1.01142073275377	1.00414901096429
36	16.8	16.7593325492125	16.645	1.00686888250000	1.00242655551276
37	16.8	16.7902699807713	16.7483333333333	1.00250392959128	1.00057950344097
38	16.8	16.7895746956297	16.82625	0.997820351868637	1.00062093915774
39	16.8	16.7617153785873	16.87875	0.993066155881645	1.00228405151549
40	16.8	16.7352070452388	16.93125	0.98842123559919	1.00387165540206
41	16.8	16.709021236822	16.98375	0.98382402218721	1.00544488883511
42	16.8	16.6831521370998	17.03625	0.979273733192445	1.00700394397533
43	16.8	16.6575940692244	17.08875	0.974769603933839	1.00854900954987
44	17.43	17.5758124475267	17.14125	1.02535185284193	0.991703800438132
45	17.43	17.548998297247	17.19375	1.02066147857489	0.993219083207407
46	17.43	17.5225007959675	17.24625	1.01601802107516	0.994721027720608
47	17.43	17.4963144007243	17.29875	1.01142073275377	0.996209807436842
48	17.43	17.4704336974782	17.35125	1.00686888250000	0.997685592803342
49	17.43	17.4473277646243	17.40375	1.00250392959128	0.99900685280531
50	17.43	17.4410682337039	17.4791666666667	0.997820351868637	0.999365392442964
51	17.43	17.4556203550096	17.5775	0.993066155881645	0.998532257548654
52	17.43	17.4711690235787	17.6758333333333	0.98842123559919	0.997643602238458
53	17.43	17.4866521410258	17.7741666666667	0.98382402218721	0.99676026373894
54	17.43	17.5020697964820	17.8725	0.979273733192445	0.99588221294281
55	17.43	17.5174220906944	17.9708333333333	0.974769603933839	0.995009420322138
56	18.61	18.5272535209762	18.0691666666667	1.02535185284193	1.00446620320330
57	18.61	18.5428674120093	18.1675	1.02066147857489	1.00362039950451
58	18.61	18.5584158366221	18.2658333333333	1.01601802107516	1.00277955639275
59	18.61	18.5738989064124	18.3641666666667	1.01142073275377	1.00194364649929
60	18.61	18.5893167431563	18.4625	1.00686888250000	1.00111264212286
61	18.61	18.6073083531555	18.5608333333333	1.00250392959128	1.00014465535764
62	18.61	18.6272271769877	18.6679166666667	0.997820351868637	0.999075161492151
63	18.61	18.6535064055419	18.78375	0.993066155881645	0.997667655367522
64	18.61	18.6807495106432	18.8995833333333	0.98842123559919	0.996212704923704
65	18.61	18.7078237085657	19.0154166666667	0.98382402218721	0.994770973359082
66	18.61	18.7347306081380	19.13125	0.979273733192445	0.993342279067317
67	18.61	18.7614717977149	19.2470833333333	0.974769603933839	0.99192644375942
68	20	19.8538024805905	19.3629166666667	1.02535185284193	1.00736370373144
69	20	19.8812097757906	19.47875	1.02066147857489	1.00597499978870
70	20	19.9084497821257	19.5945833333333	1.01601802107516	1.00459856085613
71	20	19.9355240678821	19.7104166666667	1.01142073275377	1.00323422308329
72	20	19.9624341816657	19.82625	1.00686888250000	1.00188182553252
73	20	19.9920169059035	19.9420833333333	1.00250392959128	1.00039931409292
74	20	19.9817683046494	20.0254166666667	0.997820351868637	1.00091241651252
75	20	19.9370444120189	20.07625	0.993066155881645	1.00315771920251
76	20	19.8940365773412	20.1270833333333	0.98842123559919	1.00532639126539
77	20	19.8515191343583	20.1779166666667	0.98382402218721	1.00747957194796
78	20	19.8094835303167	20.22875	0.979273733192445	1.00961743749612
79	20	19.7679214137766	20.2795833333333	0.974769603933839	1.01174016131315
80	20.61	20.8458303982150	20.3304166666667	1.02535185284193	0.988686927135547
81	20.61	20.8023567602044	20.38125	1.02066147857489	0.990753126560524
82	20.61	20.7593648747762	20.4320833333333	1.01601802107516	0.992804940051049
83	20.61	20.7168465839344	20.4829166666667	1.01142073275377	0.994842526660535
84	20.61	20.6747939160344	20.53375	1.00686888250000	0.996866042955612
85	20.61	20.6361256806659	20.5845833333333	1.00250392959128	0.998733983254891
86	20.61	20.5176809852988	20.5625	0.997820351868637	1.00449948582236
87	20.61	20.3255815455076	20.4675	0.993066155881645	1.01399312752039
88	20.61	20.1366116222445	20.3725	0.98842123559919	1.02350883985032
89	20.61	19.9494916099011	20.2775	0.98382402218721	1.03310903370445
90	20.61	19.7641921201565	20.1825	0.979273733192445	1.04279496347239
91	20.61	NA	NA	0.974769603933839	NA
92	19.47	NA	NA	1.02535185284193	NA
93	19.47	NA	NA	1.02066147857489	NA
94	19.47	NA	NA	1.01601802107516	NA
95	19.47	NA	NA	1.01142073275377	NA
96	19.47	NA	NA	1.00686888250000	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 14.32 & NA & NA & 1.00250392959128 & NA \tabularnewline
2 & 14.32 & NA & NA & 0.997820351868637 & NA \tabularnewline
3 & 14.32 & NA & NA & 0.993066155881645 & NA \tabularnewline
4 & 14.32 & NA & NA & 0.98842123559919 & NA \tabularnewline
5 & 14.32 & NA & NA & 0.98382402218721 & NA \tabularnewline
6 & 14.32 & NA & NA & 0.979273733192445 & NA \tabularnewline
7 & 14.32 & 14.1625900371554 & 14.5291666666667 & 0.974769603933839 & 1.01111448982366 \tabularnewline
8 & 14.67 & 14.9385220360295 & 14.5691666666667 & 1.02535185284193 & 0.982024859261053 \tabularnewline
9 & 14.8 & 14.9110136507470 & 14.6091666666667 & 1.02066147857489 & 0.992554922599684 \tabularnewline
10 & 14.8 & 14.8838173270669 & 14.6491666666667 & 1.01601802107516 & 0.994368559810628 \tabularnewline
11 & 14.8 & 14.8569277135423 & 14.6891666666667 & 1.01142073275377 & 0.996168271486548 \tabularnewline
12 & 14.8 & 14.8303395818230 & 14.7291666666667 & 1.00686888250000 & 0.997954222042215 \tabularnewline
13 & 14.8 & 14.8061476201219 & 14.7691666666667 & 1.00250392959128 & 0.999584792730719 \tabularnewline
14 & 14.8 & 14.7939339918924 & 14.82625 & 0.997820351868637 & 1.00041003347121 \tabularnewline
15 & 14.8 & 14.7917203918571 & 14.895 & 0.993066155881645 & 1.00055974612307 \tabularnewline
16 & 14.8 & 14.7851343158379 & 14.9583333333333 & 0.98842123559919 & 1.00100544802939 \tabularnewline
17 & 14.8 & 14.7786765199555 & 15.0216666666667 & 0.98382402218721 & 1.00144285450836 \tabularnewline
18 & 14.8 & 14.7723442652080 & 15.085 & 0.979273733192445 & 1.00187212904705 \tabularnewline
19 & 14.8 & 14.7661348835911 & 15.1483333333333 & 0.974769603933839 & 1.00229343133297 \tabularnewline
20 & 15.56 & 15.5973106014804 & 15.2116666666667 & 1.02535185284193 & 0.99760788238218 \tabularnewline
21 & 15.56 & 15.5906040852314 & 15.275 & 1.02066147857489 & 0.99803701735583 \tabularnewline
22 & 15.56 & 15.5840230799246 & 15.3383333333333 & 1.01601802107516 & 0.998458480213912 \tabularnewline
23 & 15.56 & 15.5775649856293 & 15.4016666666667 & 1.01142073275377 & 0.998872417759416 \tabularnewline
24 & 15.56 & 15.5712272678625 & 15.465 & 1.00686888250000 & 0.999278973476566 \tabularnewline
25 & 15.56 & 15.5672151866700 & 15.5283333333333 & 1.00250392959128 & 0.999536513976106 \tabularnewline
26 & 15.56 & 15.5776387265892 & 15.6116666666667 & 0.997820351868637 & 0.998867689327067 \tabularnewline
27 & 15.56 & 15.6060346396801 & 15.715 & 0.993066155881645 & 0.997050202646417 \tabularnewline
28 & 15.56 & 15.6351765784532 & 15.8183333333333 & 0.98842123559919 & 0.995191830544672 \tabularnewline
29 & 15.56 & 15.664118139924 & 15.9216666666667 & 0.98382402218721 & 0.993353080014211 \tabularnewline
30 & 15.56 & 15.6928615744089 & 16.025 & 0.979273733192445 & 0.991533629875026 \tabularnewline
31 & 15.56 & 15.7214090954463 & 16.1283333333333 & 0.974769603933839 & 0.98973316612612 \tabularnewline
32 & 16.8 & 16.6431694913792 & 16.2316666666667 & 1.02535185284193 & 1.00942311551307 \tabularnewline
33 & 16.8 & 16.6725052525208 & 16.335 & 1.02066147857489 & 1.00764700598669 \tabularnewline
34 & 16.8 & 16.7016429031072 & 16.4383333333333 & 1.01601802107516 & 1.00588906716922 \tabularnewline
35 & 16.8 & 16.7305846209686 & 16.5416666666667 & 1.01142073275377 & 1.00414901096429 \tabularnewline
36 & 16.8 & 16.7593325492125 & 16.645 & 1.00686888250000 & 1.00242655551276 \tabularnewline
37 & 16.8 & 16.7902699807713 & 16.7483333333333 & 1.00250392959128 & 1.00057950344097 \tabularnewline
38 & 16.8 & 16.7895746956297 & 16.82625 & 0.997820351868637 & 1.00062093915774 \tabularnewline
39 & 16.8 & 16.7617153785873 & 16.87875 & 0.993066155881645 & 1.00228405151549 \tabularnewline
40 & 16.8 & 16.7352070452388 & 16.93125 & 0.98842123559919 & 1.00387165540206 \tabularnewline
41 & 16.8 & 16.709021236822 & 16.98375 & 0.98382402218721 & 1.00544488883511 \tabularnewline
42 & 16.8 & 16.6831521370998 & 17.03625 & 0.979273733192445 & 1.00700394397533 \tabularnewline
43 & 16.8 & 16.6575940692244 & 17.08875 & 0.974769603933839 & 1.00854900954987 \tabularnewline
44 & 17.43 & 17.5758124475267 & 17.14125 & 1.02535185284193 & 0.991703800438132 \tabularnewline
45 & 17.43 & 17.548998297247 & 17.19375 & 1.02066147857489 & 0.993219083207407 \tabularnewline
46 & 17.43 & 17.5225007959675 & 17.24625 & 1.01601802107516 & 0.994721027720608 \tabularnewline
47 & 17.43 & 17.4963144007243 & 17.29875 & 1.01142073275377 & 0.996209807436842 \tabularnewline
48 & 17.43 & 17.4704336974782 & 17.35125 & 1.00686888250000 & 0.997685592803342 \tabularnewline
49 & 17.43 & 17.4473277646243 & 17.40375 & 1.00250392959128 & 0.99900685280531 \tabularnewline
50 & 17.43 & 17.4410682337039 & 17.4791666666667 & 0.997820351868637 & 0.999365392442964 \tabularnewline
51 & 17.43 & 17.4556203550096 & 17.5775 & 0.993066155881645 & 0.998532257548654 \tabularnewline
52 & 17.43 & 17.4711690235787 & 17.6758333333333 & 0.98842123559919 & 0.997643602238458 \tabularnewline
53 & 17.43 & 17.4866521410258 & 17.7741666666667 & 0.98382402218721 & 0.99676026373894 \tabularnewline
54 & 17.43 & 17.5020697964820 & 17.8725 & 0.979273733192445 & 0.99588221294281 \tabularnewline
55 & 17.43 & 17.5174220906944 & 17.9708333333333 & 0.974769603933839 & 0.995009420322138 \tabularnewline
56 & 18.61 & 18.5272535209762 & 18.0691666666667 & 1.02535185284193 & 1.00446620320330 \tabularnewline
57 & 18.61 & 18.5428674120093 & 18.1675 & 1.02066147857489 & 1.00362039950451 \tabularnewline
58 & 18.61 & 18.5584158366221 & 18.2658333333333 & 1.01601802107516 & 1.00277955639275 \tabularnewline
59 & 18.61 & 18.5738989064124 & 18.3641666666667 & 1.01142073275377 & 1.00194364649929 \tabularnewline
60 & 18.61 & 18.5893167431563 & 18.4625 & 1.00686888250000 & 1.00111264212286 \tabularnewline
61 & 18.61 & 18.6073083531555 & 18.5608333333333 & 1.00250392959128 & 1.00014465535764 \tabularnewline
62 & 18.61 & 18.6272271769877 & 18.6679166666667 & 0.997820351868637 & 0.999075161492151 \tabularnewline
63 & 18.61 & 18.6535064055419 & 18.78375 & 0.993066155881645 & 0.997667655367522 \tabularnewline
64 & 18.61 & 18.6807495106432 & 18.8995833333333 & 0.98842123559919 & 0.996212704923704 \tabularnewline
65 & 18.61 & 18.7078237085657 & 19.0154166666667 & 0.98382402218721 & 0.994770973359082 \tabularnewline
66 & 18.61 & 18.7347306081380 & 19.13125 & 0.979273733192445 & 0.993342279067317 \tabularnewline
67 & 18.61 & 18.7614717977149 & 19.2470833333333 & 0.974769603933839 & 0.99192644375942 \tabularnewline
68 & 20 & 19.8538024805905 & 19.3629166666667 & 1.02535185284193 & 1.00736370373144 \tabularnewline
69 & 20 & 19.8812097757906 & 19.47875 & 1.02066147857489 & 1.00597499978870 \tabularnewline
70 & 20 & 19.9084497821257 & 19.5945833333333 & 1.01601802107516 & 1.00459856085613 \tabularnewline
71 & 20 & 19.9355240678821 & 19.7104166666667 & 1.01142073275377 & 1.00323422308329 \tabularnewline
72 & 20 & 19.9624341816657 & 19.82625 & 1.00686888250000 & 1.00188182553252 \tabularnewline
73 & 20 & 19.9920169059035 & 19.9420833333333 & 1.00250392959128 & 1.00039931409292 \tabularnewline
74 & 20 & 19.9817683046494 & 20.0254166666667 & 0.997820351868637 & 1.00091241651252 \tabularnewline
75 & 20 & 19.9370444120189 & 20.07625 & 0.993066155881645 & 1.00315771920251 \tabularnewline
76 & 20 & 19.8940365773412 & 20.1270833333333 & 0.98842123559919 & 1.00532639126539 \tabularnewline
77 & 20 & 19.8515191343583 & 20.1779166666667 & 0.98382402218721 & 1.00747957194796 \tabularnewline
78 & 20 & 19.8094835303167 & 20.22875 & 0.979273733192445 & 1.00961743749612 \tabularnewline
79 & 20 & 19.7679214137766 & 20.2795833333333 & 0.974769603933839 & 1.01174016131315 \tabularnewline
80 & 20.61 & 20.8458303982150 & 20.3304166666667 & 1.02535185284193 & 0.988686927135547 \tabularnewline
81 & 20.61 & 20.8023567602044 & 20.38125 & 1.02066147857489 & 0.990753126560524 \tabularnewline
82 & 20.61 & 20.7593648747762 & 20.4320833333333 & 1.01601802107516 & 0.992804940051049 \tabularnewline
83 & 20.61 & 20.7168465839344 & 20.4829166666667 & 1.01142073275377 & 0.994842526660535 \tabularnewline
84 & 20.61 & 20.6747939160344 & 20.53375 & 1.00686888250000 & 0.996866042955612 \tabularnewline
85 & 20.61 & 20.6361256806659 & 20.5845833333333 & 1.00250392959128 & 0.998733983254891 \tabularnewline
86 & 20.61 & 20.5176809852988 & 20.5625 & 0.997820351868637 & 1.00449948582236 \tabularnewline
87 & 20.61 & 20.3255815455076 & 20.4675 & 0.993066155881645 & 1.01399312752039 \tabularnewline
88 & 20.61 & 20.1366116222445 & 20.3725 & 0.98842123559919 & 1.02350883985032 \tabularnewline
89 & 20.61 & 19.9494916099011 & 20.2775 & 0.98382402218721 & 1.03310903370445 \tabularnewline
90 & 20.61 & 19.7641921201565 & 20.1825 & 0.979273733192445 & 1.04279496347239 \tabularnewline
91 & 20.61 & NA & NA & 0.974769603933839 & NA \tabularnewline
92 & 19.47 & NA & NA & 1.02535185284193 & NA \tabularnewline
93 & 19.47 & NA & NA & 1.02066147857489 & NA \tabularnewline
94 & 19.47 & NA & NA & 1.01601802107516 & NA \tabularnewline
95 & 19.47 & NA & NA & 1.01142073275377 & NA \tabularnewline
96 & 19.47 & NA & NA & 1.00686888250000 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12879&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]14.32[/C][C]NA[/C][C]NA[/C][C]1.00250392959128[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]14.32[/C][C]NA[/C][C]NA[/C][C]0.997820351868637[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]14.32[/C][C]NA[/C][C]NA[/C][C]0.993066155881645[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]14.32[/C][C]NA[/C][C]NA[/C][C]0.98842123559919[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]14.32[/C][C]NA[/C][C]NA[/C][C]0.98382402218721[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]14.32[/C][C]NA[/C][C]NA[/C][C]0.979273733192445[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]14.32[/C][C]14.1625900371554[/C][C]14.5291666666667[/C][C]0.974769603933839[/C][C]1.01111448982366[/C][/ROW]
[ROW][C]8[/C][C]14.67[/C][C]14.9385220360295[/C][C]14.5691666666667[/C][C]1.02535185284193[/C][C]0.982024859261053[/C][/ROW]
[ROW][C]9[/C][C]14.8[/C][C]14.9110136507470[/C][C]14.6091666666667[/C][C]1.02066147857489[/C][C]0.992554922599684[/C][/ROW]
[ROW][C]10[/C][C]14.8[/C][C]14.8838173270669[/C][C]14.6491666666667[/C][C]1.01601802107516[/C][C]0.994368559810628[/C][/ROW]
[ROW][C]11[/C][C]14.8[/C][C]14.8569277135423[/C][C]14.6891666666667[/C][C]1.01142073275377[/C][C]0.996168271486548[/C][/ROW]
[ROW][C]12[/C][C]14.8[/C][C]14.8303395818230[/C][C]14.7291666666667[/C][C]1.00686888250000[/C][C]0.997954222042215[/C][/ROW]
[ROW][C]13[/C][C]14.8[/C][C]14.8061476201219[/C][C]14.7691666666667[/C][C]1.00250392959128[/C][C]0.999584792730719[/C][/ROW]
[ROW][C]14[/C][C]14.8[/C][C]14.7939339918924[/C][C]14.82625[/C][C]0.997820351868637[/C][C]1.00041003347121[/C][/ROW]
[ROW][C]15[/C][C]14.8[/C][C]14.7917203918571[/C][C]14.895[/C][C]0.993066155881645[/C][C]1.00055974612307[/C][/ROW]
[ROW][C]16[/C][C]14.8[/C][C]14.7851343158379[/C][C]14.9583333333333[/C][C]0.98842123559919[/C][C]1.00100544802939[/C][/ROW]
[ROW][C]17[/C][C]14.8[/C][C]14.7786765199555[/C][C]15.0216666666667[/C][C]0.98382402218721[/C][C]1.00144285450836[/C][/ROW]
[ROW][C]18[/C][C]14.8[/C][C]14.7723442652080[/C][C]15.085[/C][C]0.979273733192445[/C][C]1.00187212904705[/C][/ROW]
[ROW][C]19[/C][C]14.8[/C][C]14.7661348835911[/C][C]15.1483333333333[/C][C]0.974769603933839[/C][C]1.00229343133297[/C][/ROW]
[ROW][C]20[/C][C]15.56[/C][C]15.5973106014804[/C][C]15.2116666666667[/C][C]1.02535185284193[/C][C]0.99760788238218[/C][/ROW]
[ROW][C]21[/C][C]15.56[/C][C]15.5906040852314[/C][C]15.275[/C][C]1.02066147857489[/C][C]0.99803701735583[/C][/ROW]
[ROW][C]22[/C][C]15.56[/C][C]15.5840230799246[/C][C]15.3383333333333[/C][C]1.01601802107516[/C][C]0.998458480213912[/C][/ROW]
[ROW][C]23[/C][C]15.56[/C][C]15.5775649856293[/C][C]15.4016666666667[/C][C]1.01142073275377[/C][C]0.998872417759416[/C][/ROW]
[ROW][C]24[/C][C]15.56[/C][C]15.5712272678625[/C][C]15.465[/C][C]1.00686888250000[/C][C]0.999278973476566[/C][/ROW]
[ROW][C]25[/C][C]15.56[/C][C]15.5672151866700[/C][C]15.5283333333333[/C][C]1.00250392959128[/C][C]0.999536513976106[/C][/ROW]
[ROW][C]26[/C][C]15.56[/C][C]15.5776387265892[/C][C]15.6116666666667[/C][C]0.997820351868637[/C][C]0.998867689327067[/C][/ROW]
[ROW][C]27[/C][C]15.56[/C][C]15.6060346396801[/C][C]15.715[/C][C]0.993066155881645[/C][C]0.997050202646417[/C][/ROW]
[ROW][C]28[/C][C]15.56[/C][C]15.6351765784532[/C][C]15.8183333333333[/C][C]0.98842123559919[/C][C]0.995191830544672[/C][/ROW]
[ROW][C]29[/C][C]15.56[/C][C]15.664118139924[/C][C]15.9216666666667[/C][C]0.98382402218721[/C][C]0.993353080014211[/C][/ROW]
[ROW][C]30[/C][C]15.56[/C][C]15.6928615744089[/C][C]16.025[/C][C]0.979273733192445[/C][C]0.991533629875026[/C][/ROW]
[ROW][C]31[/C][C]15.56[/C][C]15.7214090954463[/C][C]16.1283333333333[/C][C]0.974769603933839[/C][C]0.98973316612612[/C][/ROW]
[ROW][C]32[/C][C]16.8[/C][C]16.6431694913792[/C][C]16.2316666666667[/C][C]1.02535185284193[/C][C]1.00942311551307[/C][/ROW]
[ROW][C]33[/C][C]16.8[/C][C]16.6725052525208[/C][C]16.335[/C][C]1.02066147857489[/C][C]1.00764700598669[/C][/ROW]
[ROW][C]34[/C][C]16.8[/C][C]16.7016429031072[/C][C]16.4383333333333[/C][C]1.01601802107516[/C][C]1.00588906716922[/C][/ROW]
[ROW][C]35[/C][C]16.8[/C][C]16.7305846209686[/C][C]16.5416666666667[/C][C]1.01142073275377[/C][C]1.00414901096429[/C][/ROW]
[ROW][C]36[/C][C]16.8[/C][C]16.7593325492125[/C][C]16.645[/C][C]1.00686888250000[/C][C]1.00242655551276[/C][/ROW]
[ROW][C]37[/C][C]16.8[/C][C]16.7902699807713[/C][C]16.7483333333333[/C][C]1.00250392959128[/C][C]1.00057950344097[/C][/ROW]
[ROW][C]38[/C][C]16.8[/C][C]16.7895746956297[/C][C]16.82625[/C][C]0.997820351868637[/C][C]1.00062093915774[/C][/ROW]
[ROW][C]39[/C][C]16.8[/C][C]16.7617153785873[/C][C]16.87875[/C][C]0.993066155881645[/C][C]1.00228405151549[/C][/ROW]
[ROW][C]40[/C][C]16.8[/C][C]16.7352070452388[/C][C]16.93125[/C][C]0.98842123559919[/C][C]1.00387165540206[/C][/ROW]
[ROW][C]41[/C][C]16.8[/C][C]16.709021236822[/C][C]16.98375[/C][C]0.98382402218721[/C][C]1.00544488883511[/C][/ROW]
[ROW][C]42[/C][C]16.8[/C][C]16.6831521370998[/C][C]17.03625[/C][C]0.979273733192445[/C][C]1.00700394397533[/C][/ROW]
[ROW][C]43[/C][C]16.8[/C][C]16.6575940692244[/C][C]17.08875[/C][C]0.974769603933839[/C][C]1.00854900954987[/C][/ROW]
[ROW][C]44[/C][C]17.43[/C][C]17.5758124475267[/C][C]17.14125[/C][C]1.02535185284193[/C][C]0.991703800438132[/C][/ROW]
[ROW][C]45[/C][C]17.43[/C][C]17.548998297247[/C][C]17.19375[/C][C]1.02066147857489[/C][C]0.993219083207407[/C][/ROW]
[ROW][C]46[/C][C]17.43[/C][C]17.5225007959675[/C][C]17.24625[/C][C]1.01601802107516[/C][C]0.994721027720608[/C][/ROW]
[ROW][C]47[/C][C]17.43[/C][C]17.4963144007243[/C][C]17.29875[/C][C]1.01142073275377[/C][C]0.996209807436842[/C][/ROW]
[ROW][C]48[/C][C]17.43[/C][C]17.4704336974782[/C][C]17.35125[/C][C]1.00686888250000[/C][C]0.997685592803342[/C][/ROW]
[ROW][C]49[/C][C]17.43[/C][C]17.4473277646243[/C][C]17.40375[/C][C]1.00250392959128[/C][C]0.99900685280531[/C][/ROW]
[ROW][C]50[/C][C]17.43[/C][C]17.4410682337039[/C][C]17.4791666666667[/C][C]0.997820351868637[/C][C]0.999365392442964[/C][/ROW]
[ROW][C]51[/C][C]17.43[/C][C]17.4556203550096[/C][C]17.5775[/C][C]0.993066155881645[/C][C]0.998532257548654[/C][/ROW]
[ROW][C]52[/C][C]17.43[/C][C]17.4711690235787[/C][C]17.6758333333333[/C][C]0.98842123559919[/C][C]0.997643602238458[/C][/ROW]
[ROW][C]53[/C][C]17.43[/C][C]17.4866521410258[/C][C]17.7741666666667[/C][C]0.98382402218721[/C][C]0.99676026373894[/C][/ROW]
[ROW][C]54[/C][C]17.43[/C][C]17.5020697964820[/C][C]17.8725[/C][C]0.979273733192445[/C][C]0.99588221294281[/C][/ROW]
[ROW][C]55[/C][C]17.43[/C][C]17.5174220906944[/C][C]17.9708333333333[/C][C]0.974769603933839[/C][C]0.995009420322138[/C][/ROW]
[ROW][C]56[/C][C]18.61[/C][C]18.5272535209762[/C][C]18.0691666666667[/C][C]1.02535185284193[/C][C]1.00446620320330[/C][/ROW]
[ROW][C]57[/C][C]18.61[/C][C]18.5428674120093[/C][C]18.1675[/C][C]1.02066147857489[/C][C]1.00362039950451[/C][/ROW]
[ROW][C]58[/C][C]18.61[/C][C]18.5584158366221[/C][C]18.2658333333333[/C][C]1.01601802107516[/C][C]1.00277955639275[/C][/ROW]
[ROW][C]59[/C][C]18.61[/C][C]18.5738989064124[/C][C]18.3641666666667[/C][C]1.01142073275377[/C][C]1.00194364649929[/C][/ROW]
[ROW][C]60[/C][C]18.61[/C][C]18.5893167431563[/C][C]18.4625[/C][C]1.00686888250000[/C][C]1.00111264212286[/C][/ROW]
[ROW][C]61[/C][C]18.61[/C][C]18.6073083531555[/C][C]18.5608333333333[/C][C]1.00250392959128[/C][C]1.00014465535764[/C][/ROW]
[ROW][C]62[/C][C]18.61[/C][C]18.6272271769877[/C][C]18.6679166666667[/C][C]0.997820351868637[/C][C]0.999075161492151[/C][/ROW]
[ROW][C]63[/C][C]18.61[/C][C]18.6535064055419[/C][C]18.78375[/C][C]0.993066155881645[/C][C]0.997667655367522[/C][/ROW]
[ROW][C]64[/C][C]18.61[/C][C]18.6807495106432[/C][C]18.8995833333333[/C][C]0.98842123559919[/C][C]0.996212704923704[/C][/ROW]
[ROW][C]65[/C][C]18.61[/C][C]18.7078237085657[/C][C]19.0154166666667[/C][C]0.98382402218721[/C][C]0.994770973359082[/C][/ROW]
[ROW][C]66[/C][C]18.61[/C][C]18.7347306081380[/C][C]19.13125[/C][C]0.979273733192445[/C][C]0.993342279067317[/C][/ROW]
[ROW][C]67[/C][C]18.61[/C][C]18.7614717977149[/C][C]19.2470833333333[/C][C]0.974769603933839[/C][C]0.99192644375942[/C][/ROW]
[ROW][C]68[/C][C]20[/C][C]19.8538024805905[/C][C]19.3629166666667[/C][C]1.02535185284193[/C][C]1.00736370373144[/C][/ROW]
[ROW][C]69[/C][C]20[/C][C]19.8812097757906[/C][C]19.47875[/C][C]1.02066147857489[/C][C]1.00597499978870[/C][/ROW]
[ROW][C]70[/C][C]20[/C][C]19.9084497821257[/C][C]19.5945833333333[/C][C]1.01601802107516[/C][C]1.00459856085613[/C][/ROW]
[ROW][C]71[/C][C]20[/C][C]19.9355240678821[/C][C]19.7104166666667[/C][C]1.01142073275377[/C][C]1.00323422308329[/C][/ROW]
[ROW][C]72[/C][C]20[/C][C]19.9624341816657[/C][C]19.82625[/C][C]1.00686888250000[/C][C]1.00188182553252[/C][/ROW]
[ROW][C]73[/C][C]20[/C][C]19.9920169059035[/C][C]19.9420833333333[/C][C]1.00250392959128[/C][C]1.00039931409292[/C][/ROW]
[ROW][C]74[/C][C]20[/C][C]19.9817683046494[/C][C]20.0254166666667[/C][C]0.997820351868637[/C][C]1.00091241651252[/C][/ROW]
[ROW][C]75[/C][C]20[/C][C]19.9370444120189[/C][C]20.07625[/C][C]0.993066155881645[/C][C]1.00315771920251[/C][/ROW]
[ROW][C]76[/C][C]20[/C][C]19.8940365773412[/C][C]20.1270833333333[/C][C]0.98842123559919[/C][C]1.00532639126539[/C][/ROW]
[ROW][C]77[/C][C]20[/C][C]19.8515191343583[/C][C]20.1779166666667[/C][C]0.98382402218721[/C][C]1.00747957194796[/C][/ROW]
[ROW][C]78[/C][C]20[/C][C]19.8094835303167[/C][C]20.22875[/C][C]0.979273733192445[/C][C]1.00961743749612[/C][/ROW]
[ROW][C]79[/C][C]20[/C][C]19.7679214137766[/C][C]20.2795833333333[/C][C]0.974769603933839[/C][C]1.01174016131315[/C][/ROW]
[ROW][C]80[/C][C]20.61[/C][C]20.8458303982150[/C][C]20.3304166666667[/C][C]1.02535185284193[/C][C]0.988686927135547[/C][/ROW]
[ROW][C]81[/C][C]20.61[/C][C]20.8023567602044[/C][C]20.38125[/C][C]1.02066147857489[/C][C]0.990753126560524[/C][/ROW]
[ROW][C]82[/C][C]20.61[/C][C]20.7593648747762[/C][C]20.4320833333333[/C][C]1.01601802107516[/C][C]0.992804940051049[/C][/ROW]
[ROW][C]83[/C][C]20.61[/C][C]20.7168465839344[/C][C]20.4829166666667[/C][C]1.01142073275377[/C][C]0.994842526660535[/C][/ROW]
[ROW][C]84[/C][C]20.61[/C][C]20.6747939160344[/C][C]20.53375[/C][C]1.00686888250000[/C][C]0.996866042955612[/C][/ROW]
[ROW][C]85[/C][C]20.61[/C][C]20.6361256806659[/C][C]20.5845833333333[/C][C]1.00250392959128[/C][C]0.998733983254891[/C][/ROW]
[ROW][C]86[/C][C]20.61[/C][C]20.5176809852988[/C][C]20.5625[/C][C]0.997820351868637[/C][C]1.00449948582236[/C][/ROW]
[ROW][C]87[/C][C]20.61[/C][C]20.3255815455076[/C][C]20.4675[/C][C]0.993066155881645[/C][C]1.01399312752039[/C][/ROW]
[ROW][C]88[/C][C]20.61[/C][C]20.1366116222445[/C][C]20.3725[/C][C]0.98842123559919[/C][C]1.02350883985032[/C][/ROW]
[ROW][C]89[/C][C]20.61[/C][C]19.9494916099011[/C][C]20.2775[/C][C]0.98382402218721[/C][C]1.03310903370445[/C][/ROW]
[ROW][C]90[/C][C]20.61[/C][C]19.7641921201565[/C][C]20.1825[/C][C]0.979273733192445[/C][C]1.04279496347239[/C][/ROW]
[ROW][C]91[/C][C]20.61[/C][C]NA[/C][C]NA[/C][C]0.974769603933839[/C][C]NA[/C][/ROW]
[ROW][C]92[/C][C]19.47[/C][C]NA[/C][C]NA[/C][C]1.02535185284193[/C][C]NA[/C][/ROW]
[ROW][C]93[/C][C]19.47[/C][C]NA[/C][C]NA[/C][C]1.02066147857489[/C][C]NA[/C][/ROW]
[ROW][C]94[/C][C]19.47[/C][C]NA[/C][C]NA[/C][C]1.01601802107516[/C][C]NA[/C][/ROW]
[ROW][C]95[/C][C]19.47[/C][C]NA[/C][C]NA[/C][C]1.01142073275377[/C][C]NA[/C][/ROW]
[ROW][C]96[/C][C]19.47[/C][C]NA[/C][C]NA[/C][C]1.00686888250000[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12879&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12879&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	14.32	NA	NA	1.00250392959128	NA
2	14.32	NA	NA	0.997820351868637	NA
3	14.32	NA	NA	0.993066155881645	NA
4	14.32	NA	NA	0.98842123559919	NA
5	14.32	NA	NA	0.98382402218721	NA
6	14.32	NA	NA	0.979273733192445	NA
7	14.32	14.1625900371554	14.5291666666667	0.974769603933839	1.01111448982366
8	14.67	14.9385220360295	14.5691666666667	1.02535185284193	0.982024859261053
9	14.8	14.9110136507470	14.6091666666667	1.02066147857489	0.992554922599684
10	14.8	14.8838173270669	14.6491666666667	1.01601802107516	0.994368559810628
11	14.8	14.8569277135423	14.6891666666667	1.01142073275377	0.996168271486548
12	14.8	14.8303395818230	14.7291666666667	1.00686888250000	0.997954222042215
13	14.8	14.8061476201219	14.7691666666667	1.00250392959128	0.999584792730719
14	14.8	14.7939339918924	14.82625	0.997820351868637	1.00041003347121
15	14.8	14.7917203918571	14.895	0.993066155881645	1.00055974612307
16	14.8	14.7851343158379	14.9583333333333	0.98842123559919	1.00100544802939
17	14.8	14.7786765199555	15.0216666666667	0.98382402218721	1.00144285450836
18	14.8	14.7723442652080	15.085	0.979273733192445	1.00187212904705
19	14.8	14.7661348835911	15.1483333333333	0.974769603933839	1.00229343133297
20	15.56	15.5973106014804	15.2116666666667	1.02535185284193	0.99760788238218
21	15.56	15.5906040852314	15.275	1.02066147857489	0.99803701735583
22	15.56	15.5840230799246	15.3383333333333	1.01601802107516	0.998458480213912
23	15.56	15.5775649856293	15.4016666666667	1.01142073275377	0.998872417759416
24	15.56	15.5712272678625	15.465	1.00686888250000	0.999278973476566
25	15.56	15.5672151866700	15.5283333333333	1.00250392959128	0.999536513976106
26	15.56	15.5776387265892	15.6116666666667	0.997820351868637	0.998867689327067
27	15.56	15.6060346396801	15.715	0.993066155881645	0.997050202646417
28	15.56	15.6351765784532	15.8183333333333	0.98842123559919	0.995191830544672
29	15.56	15.664118139924	15.9216666666667	0.98382402218721	0.993353080014211
30	15.56	15.6928615744089	16.025	0.979273733192445	0.991533629875026
31	15.56	15.7214090954463	16.1283333333333	0.974769603933839	0.98973316612612
32	16.8	16.6431694913792	16.2316666666667	1.02535185284193	1.00942311551307
33	16.8	16.6725052525208	16.335	1.02066147857489	1.00764700598669
34	16.8	16.7016429031072	16.4383333333333	1.01601802107516	1.00588906716922
35	16.8	16.7305846209686	16.5416666666667	1.01142073275377	1.00414901096429
36	16.8	16.7593325492125	16.645	1.00686888250000	1.00242655551276
37	16.8	16.7902699807713	16.7483333333333	1.00250392959128	1.00057950344097
38	16.8	16.7895746956297	16.82625	0.997820351868637	1.00062093915774
39	16.8	16.7617153785873	16.87875	0.993066155881645	1.00228405151549
40	16.8	16.7352070452388	16.93125	0.98842123559919	1.00387165540206
41	16.8	16.709021236822	16.98375	0.98382402218721	1.00544488883511
42	16.8	16.6831521370998	17.03625	0.979273733192445	1.00700394397533
43	16.8	16.6575940692244	17.08875	0.974769603933839	1.00854900954987
44	17.43	17.5758124475267	17.14125	1.02535185284193	0.991703800438132
45	17.43	17.548998297247	17.19375	1.02066147857489	0.993219083207407
46	17.43	17.5225007959675	17.24625	1.01601802107516	0.994721027720608
47	17.43	17.4963144007243	17.29875	1.01142073275377	0.996209807436842
48	17.43	17.4704336974782	17.35125	1.00686888250000	0.997685592803342
49	17.43	17.4473277646243	17.40375	1.00250392959128	0.99900685280531
50	17.43	17.4410682337039	17.4791666666667	0.997820351868637	0.999365392442964
51	17.43	17.4556203550096	17.5775	0.993066155881645	0.998532257548654
52	17.43	17.4711690235787	17.6758333333333	0.98842123559919	0.997643602238458
53	17.43	17.4866521410258	17.7741666666667	0.98382402218721	0.99676026373894
54	17.43	17.5020697964820	17.8725	0.979273733192445	0.99588221294281
55	17.43	17.5174220906944	17.9708333333333	0.974769603933839	0.995009420322138
56	18.61	18.5272535209762	18.0691666666667	1.02535185284193	1.00446620320330
57	18.61	18.5428674120093	18.1675	1.02066147857489	1.00362039950451
58	18.61	18.5584158366221	18.2658333333333	1.01601802107516	1.00277955639275
59	18.61	18.5738989064124	18.3641666666667	1.01142073275377	1.00194364649929
60	18.61	18.5893167431563	18.4625	1.00686888250000	1.00111264212286
61	18.61	18.6073083531555	18.5608333333333	1.00250392959128	1.00014465535764
62	18.61	18.6272271769877	18.6679166666667	0.997820351868637	0.999075161492151
63	18.61	18.6535064055419	18.78375	0.993066155881645	0.997667655367522
64	18.61	18.6807495106432	18.8995833333333	0.98842123559919	0.996212704923704
65	18.61	18.7078237085657	19.0154166666667	0.98382402218721	0.994770973359082
66	18.61	18.7347306081380	19.13125	0.979273733192445	0.993342279067317
67	18.61	18.7614717977149	19.2470833333333	0.974769603933839	0.99192644375942
68	20	19.8538024805905	19.3629166666667	1.02535185284193	1.00736370373144
69	20	19.8812097757906	19.47875	1.02066147857489	1.00597499978870
70	20	19.9084497821257	19.5945833333333	1.01601802107516	1.00459856085613
71	20	19.9355240678821	19.7104166666667	1.01142073275377	1.00323422308329
72	20	19.9624341816657	19.82625	1.00686888250000	1.00188182553252
73	20	19.9920169059035	19.9420833333333	1.00250392959128	1.00039931409292
74	20	19.9817683046494	20.0254166666667	0.997820351868637	1.00091241651252
75	20	19.9370444120189	20.07625	0.993066155881645	1.00315771920251
76	20	19.8940365773412	20.1270833333333	0.98842123559919	1.00532639126539
77	20	19.8515191343583	20.1779166666667	0.98382402218721	1.00747957194796
78	20	19.8094835303167	20.22875	0.979273733192445	1.00961743749612
79	20	19.7679214137766	20.2795833333333	0.974769603933839	1.01174016131315
80	20.61	20.8458303982150	20.3304166666667	1.02535185284193	0.988686927135547
81	20.61	20.8023567602044	20.38125	1.02066147857489	0.990753126560524
82	20.61	20.7593648747762	20.4320833333333	1.01601802107516	0.992804940051049
83	20.61	20.7168465839344	20.4829166666667	1.01142073275377	0.994842526660535
84	20.61	20.6747939160344	20.53375	1.00686888250000	0.996866042955612
85	20.61	20.6361256806659	20.5845833333333	1.00250392959128	0.998733983254891
86	20.61	20.5176809852988	20.5625	0.997820351868637	1.00449948582236
87	20.61	20.3255815455076	20.4675	0.993066155881645	1.01399312752039
88	20.61	20.1366116222445	20.3725	0.98842123559919	1.02350883985032
89	20.61	19.9494916099011	20.2775	0.98382402218721	1.03310903370445
90	20.61	19.7641921201565	20.1825	0.979273733192445	1.04279496347239
91	20.61	NA	NA	0.974769603933839	NA
92	19.47	NA	NA	1.02535185284193	NA
93	19.47	NA	NA	1.02066147857489	NA
94	19.47	NA	NA	1.01601802107516	NA
95	19.47	NA	NA	1.01142073275377	NA
96	19.47	NA	NA	1.00686888250000	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