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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationTue, 02 Jun 2009 10:25:26 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1.htm/, Retrieved Fri, 10 May 2024 00:16:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41307, Retrieved Fri, 10 May 2024 00:16:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Datareeks - Aardo...] [2009-06-02 16:25:26] [900fe54243512ff0c75e5ed1f9ef5c37] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
493395,00
487190,00
519493,00
519453,00
538588,00
438224,00
542034,00
512027,00
619880,00
533737,00
573789,00
589213,00
532168,00
551102,00
593789,00
527106,00
547327,00
601305,00
610872,00
601325,00
642143,00
614216,00
657979,00
673098,00
602297,00
615381,00
703671,00
733852,00
716596,00
745798,00
742027,10
679181,20
739022,70
645410,60
729382,10
671052,70
744954,80
677639,30
778207,20
763316,20
658531,60
831700,10
664156,30
621402,10
683588,70
600023,80
643273,80
653615,90
620177,50
574128,80
599828,00
599369,40
596617,70
616114,60
510226,90
493960,10
634503,30
588556,20
603239,00
617458,20
646543,50
680125,60
731595,80
759600,30
785031,70
849573,30
762342,00
815346,60
929603,20
784057,50
944667,70
1007258,30
664292,70
873207,40
1146510,00
1417266,80
1089387,90
1373379,70
1009397,60
818175,10
1003458,10
961142,70
1121906,60
1141713,30
1042352,60
992223,60
920525,30
1076093,40
967880,40
1236416,10

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41307&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41307&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41307&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1493395NANA0.922773788313235NA
2487190NANA0.940017198842391NA
3519493NANA1.05592190672308NA
4519453NANA1.08361066940898NA
5538588NANA1.00276730985240NA
6438224NANA1.12159725801643NA
7542034515262.301539167532200.7916666670.9681727453383641.05195741737919
8512027488002.045038629536479.3333333330.9096381066657341.04923125877366
9619880560130.4564704345422381.032997422663911.10667076363972
10533737505083.052509689545652.5416666670.9256495918940281.05673116004969
11573789555972.102991763546335.5416666671.017638540036581.03204638670243
12589213564130.365004046553494.7083333331.019215462244871.04446247986629
13532168519667.4410789055631580.9227737883132351.02405492038359
14551102535571.9789888565697470.9400171988423911.02899707531463
15593789606516.65958292574395.3751.055921906723080.97901515254062
16527106627059.803784022578676.2916666671.083610669408980.840599248778432
17547327587157.863692697585537.51.002767309852400.932163279833814
18601305664591.94026334592540.6251.121597258016430.904773235380702
19610872579894.690180782598957.8750.9681727453383641.05341885405014
20601325549929.183997562604558.2083333330.9096381066657341.09345897162400
21642143632003.232064003611814.9166666671.032997422663911.01604385455891
22614216578538.168718105625007.750.9256495918940281.06166893251131
23657979651975.614039544640675.0416666671.017638540036581.00920799157389
24673098666310.537152078653748.4583333331.019215462244871.01018663591444
25602297613860.309895118665233.7958333330.9227737883132350.981162962145095
26615381633517.635032558673942.60.9400171988423910.971371538802347
27703671719318.56624312681223.26251.055921906723080.978246680987474
28733852743963.407076139686559.6916666671.083610669408980.986408730617709
29716596692746.349216758690834.5958333331.002767309852401.03442768166185
30745798778079.501692138693724.5041666671.121597258016430.958511306849835
31742027.1677317.540630615699583.3583333330.9681727453383641.09553799434920
32679181.2644134.327080411708121.5291666670.9096381066657341.05440926130803
33739022.7737375.563142603713821.31.032997422663911.00223378280991
34645410.6664759.558689298718154.650.9256495918940280.970893297529337
35729382.1729609.155139286716962.9751.017638540036580.999688798944357
36671052.7731921.942238469718122.8791666671.019215462244870.916836429234093
37744954.8662973.764396619718457.5166666670.9227737883132351.12365653062907
38677639.3670049.370678375712805.43750.9400171988423911.01132741802882
39778207.2747685.868670164708088.2251.055921906723081.04082106217163
40763316.2762739.851552101703887.3583333331.083610669408981.00075562912666
41658531.6700341.108268118698408.3958333331.002767309852400.940301222112308
42831700.1778493.945898941694094.0166666671.121597258016431.0683449812055
43664156.3666265.917321481688168.4291666670.9681727453383640.996833670661165
44621402.1617331.756884012678656.43750.9096381066657341.00659344521094
45683588.7688917.37857946666911.0333333331.032997422663910.992265141299749
46600023.8604122.845743178652647.450.9256495918940280.993214880430262
47643273.8654582.341801615643236.58751.017638540036580.982724034732605
48653615.9643812.022559804631674.11251.019215462244871.01522785704003
49620177.5568684.869433059616277.6583333330.9227737883132351.09054686230403
50574128.8568291.016626383604553.850.9400171988423911.01027252446866
51599828630595.022808911597198.5416666671.055921906723080.951209537506555
52599369.4644396.716636119594675.51.083610669408980.930124850928523
53596617.7594169.279574339592529.5666666671.002767309852401.00412074556836
54616114.6661018.816471936589354.8791666671.121597258016430.93206817211104
55510226.9570202.328963412588946.8916666670.9681727453383640.894817285168857
56493960.1540745.295745043594462.0083333330.9096381066657340.913480161338099
57634503.3624311.481604976604368.8666666671.032997422663911.0163248934151
58588556.2570695.814678814616535.4791666670.9256495918940281.03129580568457
59603239642193.368526056631062.351.017638540036580.939341683618654
60617458.2661104.30388304648640.3791666671.019215462244870.933980003417491
61646543.5617218.122225377668872.6208333330.9227737883132351.04751217878842
62680125.6651214.324399937692768.5208333330.9400171988423911.04439594541583
63731595.8758632.853059265718455.4541666661.055921906723080.964360819663642
64759600.3800676.857911109738897.1708333331.083610669408980.948697708063808
65785031.7763375.922074048761269.2541666671.002767309852401.02836843198711
66849573.3888010.183796487791737.1208333331.121597258016430.956715717344413
67762342782979.057056905808718.3416666670.9681727453383640.973642900316547
68815346.6743631.850792287817502.9666666670.9096381066657341.09643851205581
69929603.2870647.55346135842836.1333333331.032997422663911.06771470993546
70784057.5821539.001488057887526.9958333330.9256495918940280.95437647948525
71944667.7943972.983612475927611.2751.017638540036581.00073594943879
721007258.3980605.59306488962118.051.019215462244871.02717984388791
73664292.7917456.119803322994237.30.9227737883132350.724059369882896
74873207.4944387.4680521751004649.13750.9400171988423910.924628322102807
7511465101064204.852937621007844.279166671.055921906723081.07733957126317
761417266.81103440.871080411018300.116666671.083610669408981.28440665661796
771089387.91035922.427969421033063.620833331.002767309852401.05161146296966
781373379.71173247.783799041046050.866666671.121597258016431.17057941124161
791009397.61033433.062584231067405.654166670.9681727453383640.976742119587185
80818175.1989792.8317368321088117.158333330.9096381066657340.826612472596223
811003458.11119418.129081121083660.13751.032997422663910.89641044211397
82961142.7981214.9947035181060028.550.9256495918940280.979543428492363
831121906.61059107.492869981040750.179166671.017638540036581.0592943658248
841141713.31049772.102371471029980.551.019215462244871.08758205463912
851042352.6NANANANA
86992223.6NANANANA
87920525.3NANANANA
881076093.4NANANANA
89967880.4NANANANA
901236416.1NANANANA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 493395 & NA & NA & 0.922773788313235 & NA \tabularnewline
2 & 487190 & NA & NA & 0.940017198842391 & NA \tabularnewline
3 & 519493 & NA & NA & 1.05592190672308 & NA \tabularnewline
4 & 519453 & NA & NA & 1.08361066940898 & NA \tabularnewline
5 & 538588 & NA & NA & 1.00276730985240 & NA \tabularnewline
6 & 438224 & NA & NA & 1.12159725801643 & NA \tabularnewline
7 & 542034 & 515262.301539167 & 532200.791666667 & 0.968172745338364 & 1.05195741737919 \tabularnewline
8 & 512027 & 488002.045038629 & 536479.333333333 & 0.909638106665734 & 1.04923125877366 \tabularnewline
9 & 619880 & 560130.456470434 & 542238 & 1.03299742266391 & 1.10667076363972 \tabularnewline
10 & 533737 & 505083.052509689 & 545652.541666667 & 0.925649591894028 & 1.05673116004969 \tabularnewline
11 & 573789 & 555972.102991763 & 546335.541666667 & 1.01763854003658 & 1.03204638670243 \tabularnewline
12 & 589213 & 564130.365004046 & 553494.708333333 & 1.01921546224487 & 1.04446247986629 \tabularnewline
13 & 532168 & 519667.441078905 & 563158 & 0.922773788313235 & 1.02405492038359 \tabularnewline
14 & 551102 & 535571.978988856 & 569747 & 0.940017198842391 & 1.02899707531463 \tabularnewline
15 & 593789 & 606516.65958292 & 574395.375 & 1.05592190672308 & 0.97901515254062 \tabularnewline
16 & 527106 & 627059.803784022 & 578676.291666667 & 1.08361066940898 & 0.840599248778432 \tabularnewline
17 & 547327 & 587157.863692697 & 585537.5 & 1.00276730985240 & 0.932163279833814 \tabularnewline
18 & 601305 & 664591.94026334 & 592540.625 & 1.12159725801643 & 0.904773235380702 \tabularnewline
19 & 610872 & 579894.690180782 & 598957.875 & 0.968172745338364 & 1.05341885405014 \tabularnewline
20 & 601325 & 549929.183997562 & 604558.208333333 & 0.909638106665734 & 1.09345897162400 \tabularnewline
21 & 642143 & 632003.232064003 & 611814.916666667 & 1.03299742266391 & 1.01604385455891 \tabularnewline
22 & 614216 & 578538.168718105 & 625007.75 & 0.925649591894028 & 1.06166893251131 \tabularnewline
23 & 657979 & 651975.614039544 & 640675.041666667 & 1.01763854003658 & 1.00920799157389 \tabularnewline
24 & 673098 & 666310.537152078 & 653748.458333333 & 1.01921546224487 & 1.01018663591444 \tabularnewline
25 & 602297 & 613860.309895118 & 665233.795833333 & 0.922773788313235 & 0.981162962145095 \tabularnewline
26 & 615381 & 633517.635032558 & 673942.6 & 0.940017198842391 & 0.971371538802347 \tabularnewline
27 & 703671 & 719318.56624312 & 681223.2625 & 1.05592190672308 & 0.978246680987474 \tabularnewline
28 & 733852 & 743963.407076139 & 686559.691666667 & 1.08361066940898 & 0.986408730617709 \tabularnewline
29 & 716596 & 692746.349216758 & 690834.595833333 & 1.00276730985240 & 1.03442768166185 \tabularnewline
30 & 745798 & 778079.501692138 & 693724.504166667 & 1.12159725801643 & 0.958511306849835 \tabularnewline
31 & 742027.1 & 677317.540630615 & 699583.358333333 & 0.968172745338364 & 1.09553799434920 \tabularnewline
32 & 679181.2 & 644134.327080411 & 708121.529166667 & 0.909638106665734 & 1.05440926130803 \tabularnewline
33 & 739022.7 & 737375.563142603 & 713821.3 & 1.03299742266391 & 1.00223378280991 \tabularnewline
34 & 645410.6 & 664759.558689298 & 718154.65 & 0.925649591894028 & 0.970893297529337 \tabularnewline
35 & 729382.1 & 729609.155139286 & 716962.975 & 1.01763854003658 & 0.999688798944357 \tabularnewline
36 & 671052.7 & 731921.942238469 & 718122.879166667 & 1.01921546224487 & 0.916836429234093 \tabularnewline
37 & 744954.8 & 662973.764396619 & 718457.516666667 & 0.922773788313235 & 1.12365653062907 \tabularnewline
38 & 677639.3 & 670049.370678375 & 712805.4375 & 0.940017198842391 & 1.01132741802882 \tabularnewline
39 & 778207.2 & 747685.868670164 & 708088.225 & 1.05592190672308 & 1.04082106217163 \tabularnewline
40 & 763316.2 & 762739.851552101 & 703887.358333333 & 1.08361066940898 & 1.00075562912666 \tabularnewline
41 & 658531.6 & 700341.108268118 & 698408.395833333 & 1.00276730985240 & 0.940301222112308 \tabularnewline
42 & 831700.1 & 778493.945898941 & 694094.016666667 & 1.12159725801643 & 1.0683449812055 \tabularnewline
43 & 664156.3 & 666265.917321481 & 688168.429166667 & 0.968172745338364 & 0.996833670661165 \tabularnewline
44 & 621402.1 & 617331.756884012 & 678656.4375 & 0.909638106665734 & 1.00659344521094 \tabularnewline
45 & 683588.7 & 688917.37857946 & 666911.033333333 & 1.03299742266391 & 0.992265141299749 \tabularnewline
46 & 600023.8 & 604122.845743178 & 652647.45 & 0.925649591894028 & 0.993214880430262 \tabularnewline
47 & 643273.8 & 654582.341801615 & 643236.5875 & 1.01763854003658 & 0.982724034732605 \tabularnewline
48 & 653615.9 & 643812.022559804 & 631674.1125 & 1.01921546224487 & 1.01522785704003 \tabularnewline
49 & 620177.5 & 568684.869433059 & 616277.658333333 & 0.922773788313235 & 1.09054686230403 \tabularnewline
50 & 574128.8 & 568291.016626383 & 604553.85 & 0.940017198842391 & 1.01027252446866 \tabularnewline
51 & 599828 & 630595.022808911 & 597198.541666667 & 1.05592190672308 & 0.951209537506555 \tabularnewline
52 & 599369.4 & 644396.716636119 & 594675.5 & 1.08361066940898 & 0.930124850928523 \tabularnewline
53 & 596617.7 & 594169.279574339 & 592529.566666667 & 1.00276730985240 & 1.00412074556836 \tabularnewline
54 & 616114.6 & 661018.816471936 & 589354.879166667 & 1.12159725801643 & 0.93206817211104 \tabularnewline
55 & 510226.9 & 570202.328963412 & 588946.891666667 & 0.968172745338364 & 0.894817285168857 \tabularnewline
56 & 493960.1 & 540745.295745043 & 594462.008333333 & 0.909638106665734 & 0.913480161338099 \tabularnewline
57 & 634503.3 & 624311.481604976 & 604368.866666667 & 1.03299742266391 & 1.0163248934151 \tabularnewline
58 & 588556.2 & 570695.814678814 & 616535.479166667 & 0.925649591894028 & 1.03129580568457 \tabularnewline
59 & 603239 & 642193.368526056 & 631062.35 & 1.01763854003658 & 0.939341683618654 \tabularnewline
60 & 617458.2 & 661104.30388304 & 648640.379166667 & 1.01921546224487 & 0.933980003417491 \tabularnewline
61 & 646543.5 & 617218.122225377 & 668872.620833333 & 0.922773788313235 & 1.04751217878842 \tabularnewline
62 & 680125.6 & 651214.324399937 & 692768.520833333 & 0.940017198842391 & 1.04439594541583 \tabularnewline
63 & 731595.8 & 758632.853059265 & 718455.454166666 & 1.05592190672308 & 0.964360819663642 \tabularnewline
64 & 759600.3 & 800676.857911109 & 738897.170833333 & 1.08361066940898 & 0.948697708063808 \tabularnewline
65 & 785031.7 & 763375.922074048 & 761269.254166667 & 1.00276730985240 & 1.02836843198711 \tabularnewline
66 & 849573.3 & 888010.183796487 & 791737.120833333 & 1.12159725801643 & 0.956715717344413 \tabularnewline
67 & 762342 & 782979.057056905 & 808718.341666667 & 0.968172745338364 & 0.973642900316547 \tabularnewline
68 & 815346.6 & 743631.850792287 & 817502.966666667 & 0.909638106665734 & 1.09643851205581 \tabularnewline
69 & 929603.2 & 870647.55346135 & 842836.133333333 & 1.03299742266391 & 1.06771470993546 \tabularnewline
70 & 784057.5 & 821539.001488057 & 887526.995833333 & 0.925649591894028 & 0.95437647948525 \tabularnewline
71 & 944667.7 & 943972.983612475 & 927611.275 & 1.01763854003658 & 1.00073594943879 \tabularnewline
72 & 1007258.3 & 980605.59306488 & 962118.05 & 1.01921546224487 & 1.02717984388791 \tabularnewline
73 & 664292.7 & 917456.119803322 & 994237.3 & 0.922773788313235 & 0.724059369882896 \tabularnewline
74 & 873207.4 & 944387.468052175 & 1004649.1375 & 0.940017198842391 & 0.924628322102807 \tabularnewline
75 & 1146510 & 1064204.85293762 & 1007844.27916667 & 1.05592190672308 & 1.07733957126317 \tabularnewline
76 & 1417266.8 & 1103440.87108041 & 1018300.11666667 & 1.08361066940898 & 1.28440665661796 \tabularnewline
77 & 1089387.9 & 1035922.42796942 & 1033063.62083333 & 1.00276730985240 & 1.05161146296966 \tabularnewline
78 & 1373379.7 & 1173247.78379904 & 1046050.86666667 & 1.12159725801643 & 1.17057941124161 \tabularnewline
79 & 1009397.6 & 1033433.06258423 & 1067405.65416667 & 0.968172745338364 & 0.976742119587185 \tabularnewline
80 & 818175.1 & 989792.831736832 & 1088117.15833333 & 0.909638106665734 & 0.826612472596223 \tabularnewline
81 & 1003458.1 & 1119418.12908112 & 1083660.1375 & 1.03299742266391 & 0.89641044211397 \tabularnewline
82 & 961142.7 & 981214.994703518 & 1060028.55 & 0.925649591894028 & 0.979543428492363 \tabularnewline
83 & 1121906.6 & 1059107.49286998 & 1040750.17916667 & 1.01763854003658 & 1.0592943658248 \tabularnewline
84 & 1141713.3 & 1049772.10237147 & 1029980.55 & 1.01921546224487 & 1.08758205463912 \tabularnewline
85 & 1042352.6 & NA & NA & NA & NA \tabularnewline
86 & 992223.6 & NA & NA & NA & NA \tabularnewline
87 & 920525.3 & NA & NA & NA & NA \tabularnewline
88 & 1076093.4 & NA & NA & NA & NA \tabularnewline
89 & 967880.4 & NA & NA & NA & NA \tabularnewline
90 & 1236416.1 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41307&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]493395[/C][C]NA[/C][C]NA[/C][C]0.922773788313235[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]487190[/C][C]NA[/C][C]NA[/C][C]0.940017198842391[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]519493[/C][C]NA[/C][C]NA[/C][C]1.05592190672308[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]519453[/C][C]NA[/C][C]NA[/C][C]1.08361066940898[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]538588[/C][C]NA[/C][C]NA[/C][C]1.00276730985240[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]438224[/C][C]NA[/C][C]NA[/C][C]1.12159725801643[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]542034[/C][C]515262.301539167[/C][C]532200.791666667[/C][C]0.968172745338364[/C][C]1.05195741737919[/C][/ROW]
[ROW][C]8[/C][C]512027[/C][C]488002.045038629[/C][C]536479.333333333[/C][C]0.909638106665734[/C][C]1.04923125877366[/C][/ROW]
[ROW][C]9[/C][C]619880[/C][C]560130.456470434[/C][C]542238[/C][C]1.03299742266391[/C][C]1.10667076363972[/C][/ROW]
[ROW][C]10[/C][C]533737[/C][C]505083.052509689[/C][C]545652.541666667[/C][C]0.925649591894028[/C][C]1.05673116004969[/C][/ROW]
[ROW][C]11[/C][C]573789[/C][C]555972.102991763[/C][C]546335.541666667[/C][C]1.01763854003658[/C][C]1.03204638670243[/C][/ROW]
[ROW][C]12[/C][C]589213[/C][C]564130.365004046[/C][C]553494.708333333[/C][C]1.01921546224487[/C][C]1.04446247986629[/C][/ROW]
[ROW][C]13[/C][C]532168[/C][C]519667.441078905[/C][C]563158[/C][C]0.922773788313235[/C][C]1.02405492038359[/C][/ROW]
[ROW][C]14[/C][C]551102[/C][C]535571.978988856[/C][C]569747[/C][C]0.940017198842391[/C][C]1.02899707531463[/C][/ROW]
[ROW][C]15[/C][C]593789[/C][C]606516.65958292[/C][C]574395.375[/C][C]1.05592190672308[/C][C]0.97901515254062[/C][/ROW]
[ROW][C]16[/C][C]527106[/C][C]627059.803784022[/C][C]578676.291666667[/C][C]1.08361066940898[/C][C]0.840599248778432[/C][/ROW]
[ROW][C]17[/C][C]547327[/C][C]587157.863692697[/C][C]585537.5[/C][C]1.00276730985240[/C][C]0.932163279833814[/C][/ROW]
[ROW][C]18[/C][C]601305[/C][C]664591.94026334[/C][C]592540.625[/C][C]1.12159725801643[/C][C]0.904773235380702[/C][/ROW]
[ROW][C]19[/C][C]610872[/C][C]579894.690180782[/C][C]598957.875[/C][C]0.968172745338364[/C][C]1.05341885405014[/C][/ROW]
[ROW][C]20[/C][C]601325[/C][C]549929.183997562[/C][C]604558.208333333[/C][C]0.909638106665734[/C][C]1.09345897162400[/C][/ROW]
[ROW][C]21[/C][C]642143[/C][C]632003.232064003[/C][C]611814.916666667[/C][C]1.03299742266391[/C][C]1.01604385455891[/C][/ROW]
[ROW][C]22[/C][C]614216[/C][C]578538.168718105[/C][C]625007.75[/C][C]0.925649591894028[/C][C]1.06166893251131[/C][/ROW]
[ROW][C]23[/C][C]657979[/C][C]651975.614039544[/C][C]640675.041666667[/C][C]1.01763854003658[/C][C]1.00920799157389[/C][/ROW]
[ROW][C]24[/C][C]673098[/C][C]666310.537152078[/C][C]653748.458333333[/C][C]1.01921546224487[/C][C]1.01018663591444[/C][/ROW]
[ROW][C]25[/C][C]602297[/C][C]613860.309895118[/C][C]665233.795833333[/C][C]0.922773788313235[/C][C]0.981162962145095[/C][/ROW]
[ROW][C]26[/C][C]615381[/C][C]633517.635032558[/C][C]673942.6[/C][C]0.940017198842391[/C][C]0.971371538802347[/C][/ROW]
[ROW][C]27[/C][C]703671[/C][C]719318.56624312[/C][C]681223.2625[/C][C]1.05592190672308[/C][C]0.978246680987474[/C][/ROW]
[ROW][C]28[/C][C]733852[/C][C]743963.407076139[/C][C]686559.691666667[/C][C]1.08361066940898[/C][C]0.986408730617709[/C][/ROW]
[ROW][C]29[/C][C]716596[/C][C]692746.349216758[/C][C]690834.595833333[/C][C]1.00276730985240[/C][C]1.03442768166185[/C][/ROW]
[ROW][C]30[/C][C]745798[/C][C]778079.501692138[/C][C]693724.504166667[/C][C]1.12159725801643[/C][C]0.958511306849835[/C][/ROW]
[ROW][C]31[/C][C]742027.1[/C][C]677317.540630615[/C][C]699583.358333333[/C][C]0.968172745338364[/C][C]1.09553799434920[/C][/ROW]
[ROW][C]32[/C][C]679181.2[/C][C]644134.327080411[/C][C]708121.529166667[/C][C]0.909638106665734[/C][C]1.05440926130803[/C][/ROW]
[ROW][C]33[/C][C]739022.7[/C][C]737375.563142603[/C][C]713821.3[/C][C]1.03299742266391[/C][C]1.00223378280991[/C][/ROW]
[ROW][C]34[/C][C]645410.6[/C][C]664759.558689298[/C][C]718154.65[/C][C]0.925649591894028[/C][C]0.970893297529337[/C][/ROW]
[ROW][C]35[/C][C]729382.1[/C][C]729609.155139286[/C][C]716962.975[/C][C]1.01763854003658[/C][C]0.999688798944357[/C][/ROW]
[ROW][C]36[/C][C]671052.7[/C][C]731921.942238469[/C][C]718122.879166667[/C][C]1.01921546224487[/C][C]0.916836429234093[/C][/ROW]
[ROW][C]37[/C][C]744954.8[/C][C]662973.764396619[/C][C]718457.516666667[/C][C]0.922773788313235[/C][C]1.12365653062907[/C][/ROW]
[ROW][C]38[/C][C]677639.3[/C][C]670049.370678375[/C][C]712805.4375[/C][C]0.940017198842391[/C][C]1.01132741802882[/C][/ROW]
[ROW][C]39[/C][C]778207.2[/C][C]747685.868670164[/C][C]708088.225[/C][C]1.05592190672308[/C][C]1.04082106217163[/C][/ROW]
[ROW][C]40[/C][C]763316.2[/C][C]762739.851552101[/C][C]703887.358333333[/C][C]1.08361066940898[/C][C]1.00075562912666[/C][/ROW]
[ROW][C]41[/C][C]658531.6[/C][C]700341.108268118[/C][C]698408.395833333[/C][C]1.00276730985240[/C][C]0.940301222112308[/C][/ROW]
[ROW][C]42[/C][C]831700.1[/C][C]778493.945898941[/C][C]694094.016666667[/C][C]1.12159725801643[/C][C]1.0683449812055[/C][/ROW]
[ROW][C]43[/C][C]664156.3[/C][C]666265.917321481[/C][C]688168.429166667[/C][C]0.968172745338364[/C][C]0.996833670661165[/C][/ROW]
[ROW][C]44[/C][C]621402.1[/C][C]617331.756884012[/C][C]678656.4375[/C][C]0.909638106665734[/C][C]1.00659344521094[/C][/ROW]
[ROW][C]45[/C][C]683588.7[/C][C]688917.37857946[/C][C]666911.033333333[/C][C]1.03299742266391[/C][C]0.992265141299749[/C][/ROW]
[ROW][C]46[/C][C]600023.8[/C][C]604122.845743178[/C][C]652647.45[/C][C]0.925649591894028[/C][C]0.993214880430262[/C][/ROW]
[ROW][C]47[/C][C]643273.8[/C][C]654582.341801615[/C][C]643236.5875[/C][C]1.01763854003658[/C][C]0.982724034732605[/C][/ROW]
[ROW][C]48[/C][C]653615.9[/C][C]643812.022559804[/C][C]631674.1125[/C][C]1.01921546224487[/C][C]1.01522785704003[/C][/ROW]
[ROW][C]49[/C][C]620177.5[/C][C]568684.869433059[/C][C]616277.658333333[/C][C]0.922773788313235[/C][C]1.09054686230403[/C][/ROW]
[ROW][C]50[/C][C]574128.8[/C][C]568291.016626383[/C][C]604553.85[/C][C]0.940017198842391[/C][C]1.01027252446866[/C][/ROW]
[ROW][C]51[/C][C]599828[/C][C]630595.022808911[/C][C]597198.541666667[/C][C]1.05592190672308[/C][C]0.951209537506555[/C][/ROW]
[ROW][C]52[/C][C]599369.4[/C][C]644396.716636119[/C][C]594675.5[/C][C]1.08361066940898[/C][C]0.930124850928523[/C][/ROW]
[ROW][C]53[/C][C]596617.7[/C][C]594169.279574339[/C][C]592529.566666667[/C][C]1.00276730985240[/C][C]1.00412074556836[/C][/ROW]
[ROW][C]54[/C][C]616114.6[/C][C]661018.816471936[/C][C]589354.879166667[/C][C]1.12159725801643[/C][C]0.93206817211104[/C][/ROW]
[ROW][C]55[/C][C]510226.9[/C][C]570202.328963412[/C][C]588946.891666667[/C][C]0.968172745338364[/C][C]0.894817285168857[/C][/ROW]
[ROW][C]56[/C][C]493960.1[/C][C]540745.295745043[/C][C]594462.008333333[/C][C]0.909638106665734[/C][C]0.913480161338099[/C][/ROW]
[ROW][C]57[/C][C]634503.3[/C][C]624311.481604976[/C][C]604368.866666667[/C][C]1.03299742266391[/C][C]1.0163248934151[/C][/ROW]
[ROW][C]58[/C][C]588556.2[/C][C]570695.814678814[/C][C]616535.479166667[/C][C]0.925649591894028[/C][C]1.03129580568457[/C][/ROW]
[ROW][C]59[/C][C]603239[/C][C]642193.368526056[/C][C]631062.35[/C][C]1.01763854003658[/C][C]0.939341683618654[/C][/ROW]
[ROW][C]60[/C][C]617458.2[/C][C]661104.30388304[/C][C]648640.379166667[/C][C]1.01921546224487[/C][C]0.933980003417491[/C][/ROW]
[ROW][C]61[/C][C]646543.5[/C][C]617218.122225377[/C][C]668872.620833333[/C][C]0.922773788313235[/C][C]1.04751217878842[/C][/ROW]
[ROW][C]62[/C][C]680125.6[/C][C]651214.324399937[/C][C]692768.520833333[/C][C]0.940017198842391[/C][C]1.04439594541583[/C][/ROW]
[ROW][C]63[/C][C]731595.8[/C][C]758632.853059265[/C][C]718455.454166666[/C][C]1.05592190672308[/C][C]0.964360819663642[/C][/ROW]
[ROW][C]64[/C][C]759600.3[/C][C]800676.857911109[/C][C]738897.170833333[/C][C]1.08361066940898[/C][C]0.948697708063808[/C][/ROW]
[ROW][C]65[/C][C]785031.7[/C][C]763375.922074048[/C][C]761269.254166667[/C][C]1.00276730985240[/C][C]1.02836843198711[/C][/ROW]
[ROW][C]66[/C][C]849573.3[/C][C]888010.183796487[/C][C]791737.120833333[/C][C]1.12159725801643[/C][C]0.956715717344413[/C][/ROW]
[ROW][C]67[/C][C]762342[/C][C]782979.057056905[/C][C]808718.341666667[/C][C]0.968172745338364[/C][C]0.973642900316547[/C][/ROW]
[ROW][C]68[/C][C]815346.6[/C][C]743631.850792287[/C][C]817502.966666667[/C][C]0.909638106665734[/C][C]1.09643851205581[/C][/ROW]
[ROW][C]69[/C][C]929603.2[/C][C]870647.55346135[/C][C]842836.133333333[/C][C]1.03299742266391[/C][C]1.06771470993546[/C][/ROW]
[ROW][C]70[/C][C]784057.5[/C][C]821539.001488057[/C][C]887526.995833333[/C][C]0.925649591894028[/C][C]0.95437647948525[/C][/ROW]
[ROW][C]71[/C][C]944667.7[/C][C]943972.983612475[/C][C]927611.275[/C][C]1.01763854003658[/C][C]1.00073594943879[/C][/ROW]
[ROW][C]72[/C][C]1007258.3[/C][C]980605.59306488[/C][C]962118.05[/C][C]1.01921546224487[/C][C]1.02717984388791[/C][/ROW]
[ROW][C]73[/C][C]664292.7[/C][C]917456.119803322[/C][C]994237.3[/C][C]0.922773788313235[/C][C]0.724059369882896[/C][/ROW]
[ROW][C]74[/C][C]873207.4[/C][C]944387.468052175[/C][C]1004649.1375[/C][C]0.940017198842391[/C][C]0.924628322102807[/C][/ROW]
[ROW][C]75[/C][C]1146510[/C][C]1064204.85293762[/C][C]1007844.27916667[/C][C]1.05592190672308[/C][C]1.07733957126317[/C][/ROW]
[ROW][C]76[/C][C]1417266.8[/C][C]1103440.87108041[/C][C]1018300.11666667[/C][C]1.08361066940898[/C][C]1.28440665661796[/C][/ROW]
[ROW][C]77[/C][C]1089387.9[/C][C]1035922.42796942[/C][C]1033063.62083333[/C][C]1.00276730985240[/C][C]1.05161146296966[/C][/ROW]
[ROW][C]78[/C][C]1373379.7[/C][C]1173247.78379904[/C][C]1046050.86666667[/C][C]1.12159725801643[/C][C]1.17057941124161[/C][/ROW]
[ROW][C]79[/C][C]1009397.6[/C][C]1033433.06258423[/C][C]1067405.65416667[/C][C]0.968172745338364[/C][C]0.976742119587185[/C][/ROW]
[ROW][C]80[/C][C]818175.1[/C][C]989792.831736832[/C][C]1088117.15833333[/C][C]0.909638106665734[/C][C]0.826612472596223[/C][/ROW]
[ROW][C]81[/C][C]1003458.1[/C][C]1119418.12908112[/C][C]1083660.1375[/C][C]1.03299742266391[/C][C]0.89641044211397[/C][/ROW]
[ROW][C]82[/C][C]961142.7[/C][C]981214.994703518[/C][C]1060028.55[/C][C]0.925649591894028[/C][C]0.979543428492363[/C][/ROW]
[ROW][C]83[/C][C]1121906.6[/C][C]1059107.49286998[/C][C]1040750.17916667[/C][C]1.01763854003658[/C][C]1.0592943658248[/C][/ROW]
[ROW][C]84[/C][C]1141713.3[/C][C]1049772.10237147[/C][C]1029980.55[/C][C]1.01921546224487[/C][C]1.08758205463912[/C][/ROW]
[ROW][C]85[/C][C]1042352.6[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]86[/C][C]992223.6[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]87[/C][C]920525.3[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]88[/C][C]1076093.4[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]89[/C][C]967880.4[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]90[/C][C]1236416.1[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41307&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41307&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1493395NANA0.922773788313235NA
2487190NANA0.940017198842391NA
3519493NANA1.05592190672308NA
4519453NANA1.08361066940898NA
5538588NANA1.00276730985240NA
6438224NANA1.12159725801643NA
7542034515262.301539167532200.7916666670.9681727453383641.05195741737919
8512027488002.045038629536479.3333333330.9096381066657341.04923125877366
9619880560130.4564704345422381.032997422663911.10667076363972
10533737505083.052509689545652.5416666670.9256495918940281.05673116004969
11573789555972.102991763546335.5416666671.017638540036581.03204638670243
12589213564130.365004046553494.7083333331.019215462244871.04446247986629
13532168519667.4410789055631580.9227737883132351.02405492038359
14551102535571.9789888565697470.9400171988423911.02899707531463
15593789606516.65958292574395.3751.055921906723080.97901515254062
16527106627059.803784022578676.2916666671.083610669408980.840599248778432
17547327587157.863692697585537.51.002767309852400.932163279833814
18601305664591.94026334592540.6251.121597258016430.904773235380702
19610872579894.690180782598957.8750.9681727453383641.05341885405014
20601325549929.183997562604558.2083333330.9096381066657341.09345897162400
21642143632003.232064003611814.9166666671.032997422663911.01604385455891
22614216578538.168718105625007.750.9256495918940281.06166893251131
23657979651975.614039544640675.0416666671.017638540036581.00920799157389
24673098666310.537152078653748.4583333331.019215462244871.01018663591444
25602297613860.309895118665233.7958333330.9227737883132350.981162962145095
26615381633517.635032558673942.60.9400171988423910.971371538802347
27703671719318.56624312681223.26251.055921906723080.978246680987474
28733852743963.407076139686559.6916666671.083610669408980.986408730617709
29716596692746.349216758690834.5958333331.002767309852401.03442768166185
30745798778079.501692138693724.5041666671.121597258016430.958511306849835
31742027.1677317.540630615699583.3583333330.9681727453383641.09553799434920
32679181.2644134.327080411708121.5291666670.9096381066657341.05440926130803
33739022.7737375.563142603713821.31.032997422663911.00223378280991
34645410.6664759.558689298718154.650.9256495918940280.970893297529337
35729382.1729609.155139286716962.9751.017638540036580.999688798944357
36671052.7731921.942238469718122.8791666671.019215462244870.916836429234093
37744954.8662973.764396619718457.5166666670.9227737883132351.12365653062907
38677639.3670049.370678375712805.43750.9400171988423911.01132741802882
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Figures (Output of Computation)

Input Parameters & R Code

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')