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Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationFri, 07 Dec 2012 15:48:19 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/07/t1354913414esr812z92d351xb.htm/, Retrieved Thu, 28 Mar 2024 16:54:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197502, Retrieved Thu, 28 Mar 2024 16:54:18 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [classical decompo...] [2012-12-07 20:48:19] [5ebf8d45d440e2351c3182f635b9c69f] [Current]
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Dataseries X:
434,49
434,43
434,07
434,52
433,52
433,52
433,52
433,26
433,63
434,67
432,87
432,49
432,5
430,88
431,64
433,7
434,47
434,38
434,9
435,3
435,37
436,61
436,08
436,08
436,08
435,99
437,72
438,73
437,7
438,13
438,13
438,31
439,67
442
442,61
442,27
442,27
443,72
443,83
444,01
445,01
444,9
444,86
445,36
447,99
449,08
448,66
447,65
447,69
448,17
450,62
450,38
449,18
448,73
448,73
449,55
449,71
449,93
452,23
452,98
452,88
452,37
452,76
452,96
455,21
453,6
453,6
453,86
454,21
454,62
456,28
456,17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197502&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' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197502&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197502&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1434.49NANA0.999375027923448NA
2434.43NANA0.998466848603676NA
3434.07NANA1.00015016020639NA
4434.52NANA1.00086335487526NA
5433.52NANA1.00084084764335NA
6433.52NANA0.999152068828718NA
7433.52433.091444889256433.666250.9986745449738271.00098952568979
8433.26432.884141242941433.4354166666670.9987281255695131.00086826640491
9433.63433.234164201504433.186251.000110608777411.00091367632381
10434.67433.962156347626433.0508333333331.002104425033151.00163111838675
11432.87433.655413784975433.056251.001383570344440.998188852807994
12432.49433.196817128213433.1316666666671.000150417220810.998368369525662
13432.5432.954246472136433.2250.9993750279234480.998950821072118
14430.88432.703082012254433.36750.9984668486036760.995786759817435
15431.64433.590098203475433.5251.000150160206390.995502438336218
16433.7434.052751636713433.6783333333331.000863354875260.999187306991183
17434.47434.257754503112433.8929166666671.000840847643351.00048875465017
18434.38433.808098423794434.176250.9991520688287181.00131832849198
19434.9433.899122927503434.4750.9986745449738271.00230670453018
20435.3434.284025165614434.8370833333330.9987281255695131.00233942483608
21435.37435.351481702837435.3033333333331.000110608777411.00004253642848
22436.61436.683287405102435.766251.002104425033150.999832172635832
23436.08436.713806106068436.1104166666671.001383570344440.998548692307853
24436.08436.466892263184436.401251.000150417220810.999113581648363
25436.08436.419162975198436.6920833333330.9993750279234480.999222850406279
26435.99436.282169636644436.9520833333330.9984668486036760.999330319556979
27437.72437.322325217979437.2566666666671.000150160206391.00090934022594
28438.73438.038272921106437.6604166666671.000863354875261.0015791475806
29437.7438.525506684271438.1570833333331.000840847643350.99811754009359
30438.13438.315106880936438.6870833333330.9991520688287180.999577685372851
31438.13438.620772953261439.2029166666670.9986745449738270.998881099611502
32438.31439.223568019993439.7829166666670.9987281255695130.997920038708051
33439.67440.408290968467440.3595833333331.000110608777410.99832362154935
34442441.761869122468440.8341666666671.002104425033151.00053904805774
35442.61441.969400877759441.358751.001383570344441.00144941962264
36442.27442.011892867993441.9454166666671.000150417220811.00058393707539
37442.27442.231361575097442.5079166666670.9993750279234481.00008737151695
38443.72442.402771418585443.0820833333330.9984668486036761.00297744197486
39443.83443.78912946218443.72251.000150160206391.00009209449963
40444.01444.747810636351444.3641666666671.000863354875260.998341058418488
41445.01445.285352576063444.911251.000840847643350.999381626692929
42444.9445.009842055451445.38750.9991520688287180.999753169379483
43444.86445.246562444768445.83750.9986745449738270.999131801394163
44445.36445.681177625238446.248750.9987281255695130.999279355643984
45447.99446.76649416377446.7170833333331.000110608777411.00273858011336
46449.08448.206653205962447.2654166666671.002104425033151.00194853598846
47448.66448.324014117904447.7045833333331.001383570344441.00074942646728
48447.65448.105309284911448.0379166666671.000150417220810.998983923476298
49447.69448.078538300972448.358750.9993750279234480.999132879020617
50448.17448.006666606373448.6945833333330.9984668486036761.0003645780427
51450.62449.008246381524448.9408333333331.000150160206391.00358958578482
52450.38449.435604374748449.0479166666671.000863354875261.00210129241222
53449.18449.609819071922449.2320833333331.000840847643350.9990440176044
54448.73449.221684338926449.6029166666670.9991520688287180.998905475055931
55448.73449.444740563202450.041250.9986745449738270.998409725381798
56449.55449.85960642059450.43250.9987281255695130.999311771014399
57449.71450.74651767395450.6966666666671.000110608777410.997700442192434
58449.93451.84220455128450.8933333333331.002104425033150.995767981538646
59452.23451.8764223337451.2520833333331.001383570344441.00078246540165
60452.98451.774194398749451.706251.000150417220811.00266904488172
61452.88451.829525905778452.1120833333330.9993750279234481.00232493459146
62452.37451.800840631067452.4945833333330.9984668486036761.00125975721545
63452.76452.929668467999452.8616666666671.000150160206390.999625397760819
64452.96453.635894254041453.2445833333331.000863354875260.998510051204937
65455.21453.990165848441453.608751.000840847643351.00268691756633
66453.6453.525531875405453.9104166666670.9991520688287181.00016419830718
67453.6NANA0.998674544973827NA
68453.86NANA0.998728125569513NA
69454.21NANA1.00011060877741NA
70454.62NANA1.00210442503315NA
71456.28NANA1.00138357034444NA
72456.17NANA1.00015041722081NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 434.49 & NA & NA & 0.999375027923448 & NA \tabularnewline
2 & 434.43 & NA & NA & 0.998466848603676 & NA \tabularnewline
3 & 434.07 & NA & NA & 1.00015016020639 & NA \tabularnewline
4 & 434.52 & NA & NA & 1.00086335487526 & NA \tabularnewline
5 & 433.52 & NA & NA & 1.00084084764335 & NA \tabularnewline
6 & 433.52 & NA & NA & 0.999152068828718 & NA \tabularnewline
7 & 433.52 & 433.091444889256 & 433.66625 & 0.998674544973827 & 1.00098952568979 \tabularnewline
8 & 433.26 & 432.884141242941 & 433.435416666667 & 0.998728125569513 & 1.00086826640491 \tabularnewline
9 & 433.63 & 433.234164201504 & 433.18625 & 1.00011060877741 & 1.00091367632381 \tabularnewline
10 & 434.67 & 433.962156347626 & 433.050833333333 & 1.00210442503315 & 1.00163111838675 \tabularnewline
11 & 432.87 & 433.655413784975 & 433.05625 & 1.00138357034444 & 0.998188852807994 \tabularnewline
12 & 432.49 & 433.196817128213 & 433.131666666667 & 1.00015041722081 & 0.998368369525662 \tabularnewline
13 & 432.5 & 432.954246472136 & 433.225 & 0.999375027923448 & 0.998950821072118 \tabularnewline
14 & 430.88 & 432.703082012254 & 433.3675 & 0.998466848603676 & 0.995786759817435 \tabularnewline
15 & 431.64 & 433.590098203475 & 433.525 & 1.00015016020639 & 0.995502438336218 \tabularnewline
16 & 433.7 & 434.052751636713 & 433.678333333333 & 1.00086335487526 & 0.999187306991183 \tabularnewline
17 & 434.47 & 434.257754503112 & 433.892916666667 & 1.00084084764335 & 1.00048875465017 \tabularnewline
18 & 434.38 & 433.808098423794 & 434.17625 & 0.999152068828718 & 1.00131832849198 \tabularnewline
19 & 434.9 & 433.899122927503 & 434.475 & 0.998674544973827 & 1.00230670453018 \tabularnewline
20 & 435.3 & 434.284025165614 & 434.837083333333 & 0.998728125569513 & 1.00233942483608 \tabularnewline
21 & 435.37 & 435.351481702837 & 435.303333333333 & 1.00011060877741 & 1.00004253642848 \tabularnewline
22 & 436.61 & 436.683287405102 & 435.76625 & 1.00210442503315 & 0.999832172635832 \tabularnewline
23 & 436.08 & 436.713806106068 & 436.110416666667 & 1.00138357034444 & 0.998548692307853 \tabularnewline
24 & 436.08 & 436.466892263184 & 436.40125 & 1.00015041722081 & 0.999113581648363 \tabularnewline
25 & 436.08 & 436.419162975198 & 436.692083333333 & 0.999375027923448 & 0.999222850406279 \tabularnewline
26 & 435.99 & 436.282169636644 & 436.952083333333 & 0.998466848603676 & 0.999330319556979 \tabularnewline
27 & 437.72 & 437.322325217979 & 437.256666666667 & 1.00015016020639 & 1.00090934022594 \tabularnewline
28 & 438.73 & 438.038272921106 & 437.660416666667 & 1.00086335487526 & 1.0015791475806 \tabularnewline
29 & 437.7 & 438.525506684271 & 438.157083333333 & 1.00084084764335 & 0.99811754009359 \tabularnewline
30 & 438.13 & 438.315106880936 & 438.687083333333 & 0.999152068828718 & 0.999577685372851 \tabularnewline
31 & 438.13 & 438.620772953261 & 439.202916666667 & 0.998674544973827 & 0.998881099611502 \tabularnewline
32 & 438.31 & 439.223568019993 & 439.782916666667 & 0.998728125569513 & 0.997920038708051 \tabularnewline
33 & 439.67 & 440.408290968467 & 440.359583333333 & 1.00011060877741 & 0.99832362154935 \tabularnewline
34 & 442 & 441.761869122468 & 440.834166666667 & 1.00210442503315 & 1.00053904805774 \tabularnewline
35 & 442.61 & 441.969400877759 & 441.35875 & 1.00138357034444 & 1.00144941962264 \tabularnewline
36 & 442.27 & 442.011892867993 & 441.945416666667 & 1.00015041722081 & 1.00058393707539 \tabularnewline
37 & 442.27 & 442.231361575097 & 442.507916666667 & 0.999375027923448 & 1.00008737151695 \tabularnewline
38 & 443.72 & 442.402771418585 & 443.082083333333 & 0.998466848603676 & 1.00297744197486 \tabularnewline
39 & 443.83 & 443.78912946218 & 443.7225 & 1.00015016020639 & 1.00009209449963 \tabularnewline
40 & 444.01 & 444.747810636351 & 444.364166666667 & 1.00086335487526 & 0.998341058418488 \tabularnewline
41 & 445.01 & 445.285352576063 & 444.91125 & 1.00084084764335 & 0.999381626692929 \tabularnewline
42 & 444.9 & 445.009842055451 & 445.3875 & 0.999152068828718 & 0.999753169379483 \tabularnewline
43 & 444.86 & 445.246562444768 & 445.8375 & 0.998674544973827 & 0.999131801394163 \tabularnewline
44 & 445.36 & 445.681177625238 & 446.24875 & 0.998728125569513 & 0.999279355643984 \tabularnewline
45 & 447.99 & 446.76649416377 & 446.717083333333 & 1.00011060877741 & 1.00273858011336 \tabularnewline
46 & 449.08 & 448.206653205962 & 447.265416666667 & 1.00210442503315 & 1.00194853598846 \tabularnewline
47 & 448.66 & 448.324014117904 & 447.704583333333 & 1.00138357034444 & 1.00074942646728 \tabularnewline
48 & 447.65 & 448.105309284911 & 448.037916666667 & 1.00015041722081 & 0.998983923476298 \tabularnewline
49 & 447.69 & 448.078538300972 & 448.35875 & 0.999375027923448 & 0.999132879020617 \tabularnewline
50 & 448.17 & 448.006666606373 & 448.694583333333 & 0.998466848603676 & 1.0003645780427 \tabularnewline
51 & 450.62 & 449.008246381524 & 448.940833333333 & 1.00015016020639 & 1.00358958578482 \tabularnewline
52 & 450.38 & 449.435604374748 & 449.047916666667 & 1.00086335487526 & 1.00210129241222 \tabularnewline
53 & 449.18 & 449.609819071922 & 449.232083333333 & 1.00084084764335 & 0.9990440176044 \tabularnewline
54 & 448.73 & 449.221684338926 & 449.602916666667 & 0.999152068828718 & 0.998905475055931 \tabularnewline
55 & 448.73 & 449.444740563202 & 450.04125 & 0.998674544973827 & 0.998409725381798 \tabularnewline
56 & 449.55 & 449.85960642059 & 450.4325 & 0.998728125569513 & 0.999311771014399 \tabularnewline
57 & 449.71 & 450.74651767395 & 450.696666666667 & 1.00011060877741 & 0.997700442192434 \tabularnewline
58 & 449.93 & 451.84220455128 & 450.893333333333 & 1.00210442503315 & 0.995767981538646 \tabularnewline
59 & 452.23 & 451.8764223337 & 451.252083333333 & 1.00138357034444 & 1.00078246540165 \tabularnewline
60 & 452.98 & 451.774194398749 & 451.70625 & 1.00015041722081 & 1.00266904488172 \tabularnewline
61 & 452.88 & 451.829525905778 & 452.112083333333 & 0.999375027923448 & 1.00232493459146 \tabularnewline
62 & 452.37 & 451.800840631067 & 452.494583333333 & 0.998466848603676 & 1.00125975721545 \tabularnewline
63 & 452.76 & 452.929668467999 & 452.861666666667 & 1.00015016020639 & 0.999625397760819 \tabularnewline
64 & 452.96 & 453.635894254041 & 453.244583333333 & 1.00086335487526 & 0.998510051204937 \tabularnewline
65 & 455.21 & 453.990165848441 & 453.60875 & 1.00084084764335 & 1.00268691756633 \tabularnewline
66 & 453.6 & 453.525531875405 & 453.910416666667 & 0.999152068828718 & 1.00016419830718 \tabularnewline
67 & 453.6 & NA & NA & 0.998674544973827 & NA \tabularnewline
68 & 453.86 & NA & NA & 0.998728125569513 & NA \tabularnewline
69 & 454.21 & NA & NA & 1.00011060877741 & NA \tabularnewline
70 & 454.62 & NA & NA & 1.00210442503315 & NA \tabularnewline
71 & 456.28 & NA & NA & 1.00138357034444 & NA \tabularnewline
72 & 456.17 & NA & NA & 1.00015041722081 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197502&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]434.49[/C][C]NA[/C][C]NA[/C][C]0.999375027923448[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]434.43[/C][C]NA[/C][C]NA[/C][C]0.998466848603676[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]434.07[/C][C]NA[/C][C]NA[/C][C]1.00015016020639[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]434.52[/C][C]NA[/C][C]NA[/C][C]1.00086335487526[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]433.52[/C][C]NA[/C][C]NA[/C][C]1.00084084764335[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]433.52[/C][C]NA[/C][C]NA[/C][C]0.999152068828718[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]433.52[/C][C]433.091444889256[/C][C]433.66625[/C][C]0.998674544973827[/C][C]1.00098952568979[/C][/ROW]
[ROW][C]8[/C][C]433.26[/C][C]432.884141242941[/C][C]433.435416666667[/C][C]0.998728125569513[/C][C]1.00086826640491[/C][/ROW]
[ROW][C]9[/C][C]433.63[/C][C]433.234164201504[/C][C]433.18625[/C][C]1.00011060877741[/C][C]1.00091367632381[/C][/ROW]
[ROW][C]10[/C][C]434.67[/C][C]433.962156347626[/C][C]433.050833333333[/C][C]1.00210442503315[/C][C]1.00163111838675[/C][/ROW]
[ROW][C]11[/C][C]432.87[/C][C]433.655413784975[/C][C]433.05625[/C][C]1.00138357034444[/C][C]0.998188852807994[/C][/ROW]
[ROW][C]12[/C][C]432.49[/C][C]433.196817128213[/C][C]433.131666666667[/C][C]1.00015041722081[/C][C]0.998368369525662[/C][/ROW]
[ROW][C]13[/C][C]432.5[/C][C]432.954246472136[/C][C]433.225[/C][C]0.999375027923448[/C][C]0.998950821072118[/C][/ROW]
[ROW][C]14[/C][C]430.88[/C][C]432.703082012254[/C][C]433.3675[/C][C]0.998466848603676[/C][C]0.995786759817435[/C][/ROW]
[ROW][C]15[/C][C]431.64[/C][C]433.590098203475[/C][C]433.525[/C][C]1.00015016020639[/C][C]0.995502438336218[/C][/ROW]
[ROW][C]16[/C][C]433.7[/C][C]434.052751636713[/C][C]433.678333333333[/C][C]1.00086335487526[/C][C]0.999187306991183[/C][/ROW]
[ROW][C]17[/C][C]434.47[/C][C]434.257754503112[/C][C]433.892916666667[/C][C]1.00084084764335[/C][C]1.00048875465017[/C][/ROW]
[ROW][C]18[/C][C]434.38[/C][C]433.808098423794[/C][C]434.17625[/C][C]0.999152068828718[/C][C]1.00131832849198[/C][/ROW]
[ROW][C]19[/C][C]434.9[/C][C]433.899122927503[/C][C]434.475[/C][C]0.998674544973827[/C][C]1.00230670453018[/C][/ROW]
[ROW][C]20[/C][C]435.3[/C][C]434.284025165614[/C][C]434.837083333333[/C][C]0.998728125569513[/C][C]1.00233942483608[/C][/ROW]
[ROW][C]21[/C][C]435.37[/C][C]435.351481702837[/C][C]435.303333333333[/C][C]1.00011060877741[/C][C]1.00004253642848[/C][/ROW]
[ROW][C]22[/C][C]436.61[/C][C]436.683287405102[/C][C]435.76625[/C][C]1.00210442503315[/C][C]0.999832172635832[/C][/ROW]
[ROW][C]23[/C][C]436.08[/C][C]436.713806106068[/C][C]436.110416666667[/C][C]1.00138357034444[/C][C]0.998548692307853[/C][/ROW]
[ROW][C]24[/C][C]436.08[/C][C]436.466892263184[/C][C]436.40125[/C][C]1.00015041722081[/C][C]0.999113581648363[/C][/ROW]
[ROW][C]25[/C][C]436.08[/C][C]436.419162975198[/C][C]436.692083333333[/C][C]0.999375027923448[/C][C]0.999222850406279[/C][/ROW]
[ROW][C]26[/C][C]435.99[/C][C]436.282169636644[/C][C]436.952083333333[/C][C]0.998466848603676[/C][C]0.999330319556979[/C][/ROW]
[ROW][C]27[/C][C]437.72[/C][C]437.322325217979[/C][C]437.256666666667[/C][C]1.00015016020639[/C][C]1.00090934022594[/C][/ROW]
[ROW][C]28[/C][C]438.73[/C][C]438.038272921106[/C][C]437.660416666667[/C][C]1.00086335487526[/C][C]1.0015791475806[/C][/ROW]
[ROW][C]29[/C][C]437.7[/C][C]438.525506684271[/C][C]438.157083333333[/C][C]1.00084084764335[/C][C]0.99811754009359[/C][/ROW]
[ROW][C]30[/C][C]438.13[/C][C]438.315106880936[/C][C]438.687083333333[/C][C]0.999152068828718[/C][C]0.999577685372851[/C][/ROW]
[ROW][C]31[/C][C]438.13[/C][C]438.620772953261[/C][C]439.202916666667[/C][C]0.998674544973827[/C][C]0.998881099611502[/C][/ROW]
[ROW][C]32[/C][C]438.31[/C][C]439.223568019993[/C][C]439.782916666667[/C][C]0.998728125569513[/C][C]0.997920038708051[/C][/ROW]
[ROW][C]33[/C][C]439.67[/C][C]440.408290968467[/C][C]440.359583333333[/C][C]1.00011060877741[/C][C]0.99832362154935[/C][/ROW]
[ROW][C]34[/C][C]442[/C][C]441.761869122468[/C][C]440.834166666667[/C][C]1.00210442503315[/C][C]1.00053904805774[/C][/ROW]
[ROW][C]35[/C][C]442.61[/C][C]441.969400877759[/C][C]441.35875[/C][C]1.00138357034444[/C][C]1.00144941962264[/C][/ROW]
[ROW][C]36[/C][C]442.27[/C][C]442.011892867993[/C][C]441.945416666667[/C][C]1.00015041722081[/C][C]1.00058393707539[/C][/ROW]
[ROW][C]37[/C][C]442.27[/C][C]442.231361575097[/C][C]442.507916666667[/C][C]0.999375027923448[/C][C]1.00008737151695[/C][/ROW]
[ROW][C]38[/C][C]443.72[/C][C]442.402771418585[/C][C]443.082083333333[/C][C]0.998466848603676[/C][C]1.00297744197486[/C][/ROW]
[ROW][C]39[/C][C]443.83[/C][C]443.78912946218[/C][C]443.7225[/C][C]1.00015016020639[/C][C]1.00009209449963[/C][/ROW]
[ROW][C]40[/C][C]444.01[/C][C]444.747810636351[/C][C]444.364166666667[/C][C]1.00086335487526[/C][C]0.998341058418488[/C][/ROW]
[ROW][C]41[/C][C]445.01[/C][C]445.285352576063[/C][C]444.91125[/C][C]1.00084084764335[/C][C]0.999381626692929[/C][/ROW]
[ROW][C]42[/C][C]444.9[/C][C]445.009842055451[/C][C]445.3875[/C][C]0.999152068828718[/C][C]0.999753169379483[/C][/ROW]
[ROW][C]43[/C][C]444.86[/C][C]445.246562444768[/C][C]445.8375[/C][C]0.998674544973827[/C][C]0.999131801394163[/C][/ROW]
[ROW][C]44[/C][C]445.36[/C][C]445.681177625238[/C][C]446.24875[/C][C]0.998728125569513[/C][C]0.999279355643984[/C][/ROW]
[ROW][C]45[/C][C]447.99[/C][C]446.76649416377[/C][C]446.717083333333[/C][C]1.00011060877741[/C][C]1.00273858011336[/C][/ROW]
[ROW][C]46[/C][C]449.08[/C][C]448.206653205962[/C][C]447.265416666667[/C][C]1.00210442503315[/C][C]1.00194853598846[/C][/ROW]
[ROW][C]47[/C][C]448.66[/C][C]448.324014117904[/C][C]447.704583333333[/C][C]1.00138357034444[/C][C]1.00074942646728[/C][/ROW]
[ROW][C]48[/C][C]447.65[/C][C]448.105309284911[/C][C]448.037916666667[/C][C]1.00015041722081[/C][C]0.998983923476298[/C][/ROW]
[ROW][C]49[/C][C]447.69[/C][C]448.078538300972[/C][C]448.35875[/C][C]0.999375027923448[/C][C]0.999132879020617[/C][/ROW]
[ROW][C]50[/C][C]448.17[/C][C]448.006666606373[/C][C]448.694583333333[/C][C]0.998466848603676[/C][C]1.0003645780427[/C][/ROW]
[ROW][C]51[/C][C]450.62[/C][C]449.008246381524[/C][C]448.940833333333[/C][C]1.00015016020639[/C][C]1.00358958578482[/C][/ROW]
[ROW][C]52[/C][C]450.38[/C][C]449.435604374748[/C][C]449.047916666667[/C][C]1.00086335487526[/C][C]1.00210129241222[/C][/ROW]
[ROW][C]53[/C][C]449.18[/C][C]449.609819071922[/C][C]449.232083333333[/C][C]1.00084084764335[/C][C]0.9990440176044[/C][/ROW]
[ROW][C]54[/C][C]448.73[/C][C]449.221684338926[/C][C]449.602916666667[/C][C]0.999152068828718[/C][C]0.998905475055931[/C][/ROW]
[ROW][C]55[/C][C]448.73[/C][C]449.444740563202[/C][C]450.04125[/C][C]0.998674544973827[/C][C]0.998409725381798[/C][/ROW]
[ROW][C]56[/C][C]449.55[/C][C]449.85960642059[/C][C]450.4325[/C][C]0.998728125569513[/C][C]0.999311771014399[/C][/ROW]
[ROW][C]57[/C][C]449.71[/C][C]450.74651767395[/C][C]450.696666666667[/C][C]1.00011060877741[/C][C]0.997700442192434[/C][/ROW]
[ROW][C]58[/C][C]449.93[/C][C]451.84220455128[/C][C]450.893333333333[/C][C]1.00210442503315[/C][C]0.995767981538646[/C][/ROW]
[ROW][C]59[/C][C]452.23[/C][C]451.8764223337[/C][C]451.252083333333[/C][C]1.00138357034444[/C][C]1.00078246540165[/C][/ROW]
[ROW][C]60[/C][C]452.98[/C][C]451.774194398749[/C][C]451.70625[/C][C]1.00015041722081[/C][C]1.00266904488172[/C][/ROW]
[ROW][C]61[/C][C]452.88[/C][C]451.829525905778[/C][C]452.112083333333[/C][C]0.999375027923448[/C][C]1.00232493459146[/C][/ROW]
[ROW][C]62[/C][C]452.37[/C][C]451.800840631067[/C][C]452.494583333333[/C][C]0.998466848603676[/C][C]1.00125975721545[/C][/ROW]
[ROW][C]63[/C][C]452.76[/C][C]452.929668467999[/C][C]452.861666666667[/C][C]1.00015016020639[/C][C]0.999625397760819[/C][/ROW]
[ROW][C]64[/C][C]452.96[/C][C]453.635894254041[/C][C]453.244583333333[/C][C]1.00086335487526[/C][C]0.998510051204937[/C][/ROW]
[ROW][C]65[/C][C]455.21[/C][C]453.990165848441[/C][C]453.60875[/C][C]1.00084084764335[/C][C]1.00268691756633[/C][/ROW]
[ROW][C]66[/C][C]453.6[/C][C]453.525531875405[/C][C]453.910416666667[/C][C]0.999152068828718[/C][C]1.00016419830718[/C][/ROW]
[ROW][C]67[/C][C]453.6[/C][C]NA[/C][C]NA[/C][C]0.998674544973827[/C][C]NA[/C][/ROW]
[ROW][C]68[/C][C]453.86[/C][C]NA[/C][C]NA[/C][C]0.998728125569513[/C][C]NA[/C][/ROW]
[ROW][C]69[/C][C]454.21[/C][C]NA[/C][C]NA[/C][C]1.00011060877741[/C][C]NA[/C][/ROW]
[ROW][C]70[/C][C]454.62[/C][C]NA[/C][C]NA[/C][C]1.00210442503315[/C][C]NA[/C][/ROW]
[ROW][C]71[/C][C]456.28[/C][C]NA[/C][C]NA[/C][C]1.00138357034444[/C][C]NA[/C][/ROW]
[ROW][C]72[/C][C]456.17[/C][C]NA[/C][C]NA[/C][C]1.00015041722081[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197502&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197502&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
tObservationsFitTrendSeasonalRandom
1434.49NANA0.999375027923448NA
2434.43NANA0.998466848603676NA
3434.07NANA1.00015016020639NA
4434.52NANA1.00086335487526NA
5433.52NANA1.00084084764335NA
6433.52NANA0.999152068828718NA
7433.52433.091444889256433.666250.9986745449738271.00098952568979
8433.26432.884141242941433.4354166666670.9987281255695131.00086826640491
9433.63433.234164201504433.186251.000110608777411.00091367632381
10434.67433.962156347626433.0508333333331.002104425033151.00163111838675
11432.87433.655413784975433.056251.001383570344440.998188852807994
12432.49433.196817128213433.1316666666671.000150417220810.998368369525662
13432.5432.954246472136433.2250.9993750279234480.998950821072118
14430.88432.703082012254433.36750.9984668486036760.995786759817435
15431.64433.590098203475433.5251.000150160206390.995502438336218
16433.7434.052751636713433.6783333333331.000863354875260.999187306991183
17434.47434.257754503112433.8929166666671.000840847643351.00048875465017
18434.38433.808098423794434.176250.9991520688287181.00131832849198
19434.9433.899122927503434.4750.9986745449738271.00230670453018
20435.3434.284025165614434.8370833333330.9987281255695131.00233942483608
21435.37435.351481702837435.3033333333331.000110608777411.00004253642848
22436.61436.683287405102435.766251.002104425033150.999832172635832
23436.08436.713806106068436.1104166666671.001383570344440.998548692307853
24436.08436.466892263184436.401251.000150417220810.999113581648363
25436.08436.419162975198436.6920833333330.9993750279234480.999222850406279
26435.99436.282169636644436.9520833333330.9984668486036760.999330319556979
27437.72437.322325217979437.2566666666671.000150160206391.00090934022594
28438.73438.038272921106437.6604166666671.000863354875261.0015791475806
29437.7438.525506684271438.1570833333331.000840847643350.99811754009359
30438.13438.315106880936438.6870833333330.9991520688287180.999577685372851
31438.13438.620772953261439.2029166666670.9986745449738270.998881099611502
32438.31439.223568019993439.7829166666670.9987281255695130.997920038708051
33439.67440.408290968467440.3595833333331.000110608777410.99832362154935
34442441.761869122468440.8341666666671.002104425033151.00053904805774
35442.61441.969400877759441.358751.001383570344441.00144941962264
36442.27442.011892867993441.9454166666671.000150417220811.00058393707539
37442.27442.231361575097442.5079166666670.9993750279234481.00008737151695
38443.72442.402771418585443.0820833333330.9984668486036761.00297744197486
39443.83443.78912946218443.72251.000150160206391.00009209449963
40444.01444.747810636351444.3641666666671.000863354875260.998341058418488
41445.01445.285352576063444.911251.000840847643350.999381626692929
42444.9445.009842055451445.38750.9991520688287180.999753169379483
43444.86445.246562444768445.83750.9986745449738270.999131801394163
44445.36445.681177625238446.248750.9987281255695130.999279355643984
45447.99446.76649416377446.7170833333331.000110608777411.00273858011336
46449.08448.206653205962447.2654166666671.002104425033151.00194853598846
47448.66448.324014117904447.7045833333331.001383570344441.00074942646728
48447.65448.105309284911448.0379166666671.000150417220810.998983923476298
49447.69448.078538300972448.358750.9993750279234480.999132879020617
50448.17448.006666606373448.6945833333330.9984668486036761.0003645780427
51450.62449.008246381524448.9408333333331.000150160206391.00358958578482
52450.38449.435604374748449.0479166666671.000863354875261.00210129241222
53449.18449.609819071922449.2320833333331.000840847643350.9990440176044
54448.73449.221684338926449.6029166666670.9991520688287180.998905475055931
55448.73449.444740563202450.041250.9986745449738270.998409725381798
56449.55449.85960642059450.43250.9987281255695130.999311771014399
57449.71450.74651767395450.6966666666671.000110608777410.997700442192434
58449.93451.84220455128450.8933333333331.002104425033150.995767981538646
59452.23451.8764223337451.2520833333331.001383570344441.00078246540165
60452.98451.774194398749451.706251.000150417220811.00266904488172
61452.88451.829525905778452.1120833333330.9993750279234481.00232493459146
62452.37451.800840631067452.4945833333330.9984668486036761.00125975721545
63452.76452.929668467999452.8616666666671.000150160206390.999625397760819
64452.96453.635894254041453.2445833333331.000863354875260.998510051204937
65455.21453.990165848441453.608751.000840847643351.00268691756633
66453.6453.525531875405453.9104166666670.9991520688287181.00016419830718
67453.6NANA0.998674544973827NA
68453.86NANA0.998728125569513NA
69454.21NANA1.00011060877741NA
70454.62NANA1.00210442503315NA
71456.28NANA1.00138357034444NA
72456.17NANA1.00015041722081NA



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')