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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 computationMon, 01 Jun 2009 09:17:53 -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/01/t1243869502j71yan5a6ygnast.htm/, Retrieved Sun, 12 May 2024 22:00:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40970, Retrieved Sun, 12 May 2024 22:00:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

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...] [2009-06-01 15:17:53] [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 time3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40970&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40970&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40970&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1493395NANA-69760.6998842592NA
2487190NANA-48273.8755787037NA
3519493NANA43939.1758101852NA
4519453NANA79458.9605324074NA
5538588NANA4848.02650462962NA
6438224NANA101267.979976852NA
7542034506280.882060185532200.791666667-25919.909606481535753.1179398148
8512027459014.497337963536479.333333333-77464.835995370453012.5026620372
9619880559928.96747685254223817690.967476851859951.0325231482
10533737484110.061226852545652.541666667-61542.480439814849626.9387731482
11573789562567.03900463546335.54166666716231.497337963011221.9609953704
12589213573019.902199074553494.70833333319525.193865740816193.0978009258
13532168493397.300115741563158-69760.699884259238770.6998842594
14551102521473.124421296569747-48273.875578703729628.8755787037
15593789618334.550810185574395.37543939.1758101852-24545.5508101851
16527106658135.252199074578676.29166666779458.9605324074-131029.252199074
17547327590385.52650463585537.54848.02650462962-43058.5265046296
18601305693808.604976852592540.625101267.979976852-92503.6049768518
19610872573037.965393518598957.875-25919.909606481537834.0346064816
20601325527093.372337963604558.208333333-77464.835995370474231.6276620372
21642143629505.884143519611814.91666666717690.967476851812637.1158564815
22614216563465.269560185625007.75-61542.480439814850750.7304398147
23657979656906.53900463640675.04166666716231.49733796301072.46099537041
24673098673273.652199074653748.45833333319525.1938657408-175.652199074044
25602297595473.095949074665233.795833333-69760.69988425926823.9040509261
26615381625668.724421296673942.6-48273.8755787037-10287.7244212963
27703671725162.438310185681223.262543939.1758101852-21491.4383101852
28733852766018.652199074686559.69166666779458.9605324074-32166.6521990740
29716596695682.622337963690834.5958333334848.0265046296220913.3776620372
30745798794992.484143518693724.504166667101267.979976852-49194.4841435184
31742027.1673663.448726852699583.358333333-25919.909606481568363.6512731481
32679181.2630656.693171296708121.529166667-77464.835995370448524.5068287037
33739022.7731512.267476852713821.317690.96747685187510.43252314813
34645410.6656612.169560185718154.65-61542.4804398148-11201.5695601852
35729382.1733194.472337963716962.97516231.4973379630-3812.37233796297
36671052.7737648.073032407718122.87916666719525.1938657408-66595.3730324075
37744954.8648696.816782407718457.516666667-69760.699884259296257.9832175927
38677639.3664531.561921296712805.4375-48273.875578703713107.7380787039
39778207.2752027.400810185708088.22543939.175810185226179.7991898148
40763316.2783346.31886574703887.35833333379458.9605324074-20030.1188657407
41658531.6703256.422337963698408.3958333334848.02650462962-44724.8223379629
42831700.1795361.996643518694094.016666667101267.97997685236338.1033564815
43664156.3662248.519560185688168.429166667-25919.90960648151907.78043981479
44621402.1601191.60150463678656.4375-77464.835995370420210.4984953704
45683588.7684602.000810185666911.03333333317690.9674768518-1013.30081018514
46600023.8591104.969560185652647.45-61542.48043981488918.83043981495
47643273.8659468.084837963643236.587516231.4973379630-16194.2848379629
48653615.9651199.306365741631674.112519525.19386574082416.59363425930
49620177.5546516.958449074616277.658333333-69760.699884259273660.541550926
50574128.8556279.974421296604553.85-48273.875578703717848.8255787038
51599828641137.717476852597198.54166666743939.1758101852-41309.7174768519
52599369.4674134.460532407594675.579458.9605324074-74765.0605324074
53596617.7597377.593171296592529.5666666674848.02650462962-759.893171296222
54616114.6690622.859143518589354.879166667101267.979976852-74508.2591435185
55510226.9563026.982060185588946.891666667-25919.9096064815-52800.0820601851
56493960.1516997.172337963594462.008333333-77464.8359953704-23037.0723379629
57634503.3622059.834143518604368.86666666717690.967476851812443.4658564817
58588556.2554992.998726852616535.479166667-61542.480439814833563.2012731482
59603239647293.847337963631062.3516231.4973379630-44054.8473379629
60617458.2668165.573032407648640.37916666719525.1938657408-50707.3730324074
61646543.5599111.920949074668872.620833333-69760.699884259247431.5790509258
62680125.6644494.64525463692768.520833333-48273.875578703735630.9547453705
63731595.8762394.629976852718455.45416666643939.1758101852-30798.8299768516
64759600.3818356.13136574738897.17083333379458.9605324074-58755.8313657406
65785031.7766117.280671296761269.2541666674848.0265046296218914.4193287037
66849573.3893005.100810185791737.120833333101267.979976852-43431.8008101851
67762342782798.432060185808718.341666667-25919.9096064815-20456.4320601851
68815346.6740038.130671296817502.966666667-77464.835995370475308.4693287038
69929603.2860527.100810185842836.13333333317690.967476851869076.0991898148
70784057.5825984.515393518887526.995833333-61542.4804398148-41927.0153935184
71944667.7943842.772337963927611.27516231.4973379630824.92766203708
721007258.3981643.24386574962118.0519525.193865740825615.0561342594
73664292.7924476.60011574994237.3-69760.6998842592-260183.900115741
74873207.4956375.2619212961004649.1375-48273.8755787037-83167.8619212962
7511465101051783.454976851007844.2791666743939.175810185294726.5450231482
761417266.81097759.077199071018300.1166666779458.9605324074319507.722800926
771089387.91037911.647337961033063.620833334848.0265046296251476.2526620372
781373379.71147318.846643521046050.86666667101267.979976852226060.853356482
791009397.61041485.744560191067405.65416667-25919.9096064815-32088.1445601851
80818175.11010652.322337961088117.15833333-77464.8359953704-192477.222337963
811003458.11101351.104976851083660.137517690.9674768518-97893.0049768515
82961142.7998486.0695601851060028.55-61542.4804398148-37343.369560185
831121906.61056981.676504631040750.1791666716231.497337963064924.9234953705
841141713.31049505.743865741029980.5519525.193865740892207.5561342592
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 & -69760.6998842592 & NA \tabularnewline
2 & 487190 & NA & NA & -48273.8755787037 & NA \tabularnewline
3 & 519493 & NA & NA & 43939.1758101852 & NA \tabularnewline
4 & 519453 & NA & NA & 79458.9605324074 & NA \tabularnewline
5 & 538588 & NA & NA & 4848.02650462962 & NA \tabularnewline
6 & 438224 & NA & NA & 101267.979976852 & NA \tabularnewline
7 & 542034 & 506280.882060185 & 532200.791666667 & -25919.9096064815 & 35753.1179398148 \tabularnewline
8 & 512027 & 459014.497337963 & 536479.333333333 & -77464.8359953704 & 53012.5026620372 \tabularnewline
9 & 619880 & 559928.967476852 & 542238 & 17690.9674768518 & 59951.0325231482 \tabularnewline
10 & 533737 & 484110.061226852 & 545652.541666667 & -61542.4804398148 & 49626.9387731482 \tabularnewline
11 & 573789 & 562567.03900463 & 546335.541666667 & 16231.4973379630 & 11221.9609953704 \tabularnewline
12 & 589213 & 573019.902199074 & 553494.708333333 & 19525.1938657408 & 16193.0978009258 \tabularnewline
13 & 532168 & 493397.300115741 & 563158 & -69760.6998842592 & 38770.6998842594 \tabularnewline
14 & 551102 & 521473.124421296 & 569747 & -48273.8755787037 & 29628.8755787037 \tabularnewline
15 & 593789 & 618334.550810185 & 574395.375 & 43939.1758101852 & -24545.5508101851 \tabularnewline
16 & 527106 & 658135.252199074 & 578676.291666667 & 79458.9605324074 & -131029.252199074 \tabularnewline
17 & 547327 & 590385.52650463 & 585537.5 & 4848.02650462962 & -43058.5265046296 \tabularnewline
18 & 601305 & 693808.604976852 & 592540.625 & 101267.979976852 & -92503.6049768518 \tabularnewline
19 & 610872 & 573037.965393518 & 598957.875 & -25919.9096064815 & 37834.0346064816 \tabularnewline
20 & 601325 & 527093.372337963 & 604558.208333333 & -77464.8359953704 & 74231.6276620372 \tabularnewline
21 & 642143 & 629505.884143519 & 611814.916666667 & 17690.9674768518 & 12637.1158564815 \tabularnewline
22 & 614216 & 563465.269560185 & 625007.75 & -61542.4804398148 & 50750.7304398147 \tabularnewline
23 & 657979 & 656906.53900463 & 640675.041666667 & 16231.4973379630 & 1072.46099537041 \tabularnewline
24 & 673098 & 673273.652199074 & 653748.458333333 & 19525.1938657408 & -175.652199074044 \tabularnewline
25 & 602297 & 595473.095949074 & 665233.795833333 & -69760.6998842592 & 6823.9040509261 \tabularnewline
26 & 615381 & 625668.724421296 & 673942.6 & -48273.8755787037 & -10287.7244212963 \tabularnewline
27 & 703671 & 725162.438310185 & 681223.2625 & 43939.1758101852 & -21491.4383101852 \tabularnewline
28 & 733852 & 766018.652199074 & 686559.691666667 & 79458.9605324074 & -32166.6521990740 \tabularnewline
29 & 716596 & 695682.622337963 & 690834.595833333 & 4848.02650462962 & 20913.3776620372 \tabularnewline
30 & 745798 & 794992.484143518 & 693724.504166667 & 101267.979976852 & -49194.4841435184 \tabularnewline
31 & 742027.1 & 673663.448726852 & 699583.358333333 & -25919.9096064815 & 68363.6512731481 \tabularnewline
32 & 679181.2 & 630656.693171296 & 708121.529166667 & -77464.8359953704 & 48524.5068287037 \tabularnewline
33 & 739022.7 & 731512.267476852 & 713821.3 & 17690.9674768518 & 7510.43252314813 \tabularnewline
34 & 645410.6 & 656612.169560185 & 718154.65 & -61542.4804398148 & -11201.5695601852 \tabularnewline
35 & 729382.1 & 733194.472337963 & 716962.975 & 16231.4973379630 & -3812.37233796297 \tabularnewline
36 & 671052.7 & 737648.073032407 & 718122.879166667 & 19525.1938657408 & -66595.3730324075 \tabularnewline
37 & 744954.8 & 648696.816782407 & 718457.516666667 & -69760.6998842592 & 96257.9832175927 \tabularnewline
38 & 677639.3 & 664531.561921296 & 712805.4375 & -48273.8755787037 & 13107.7380787039 \tabularnewline
39 & 778207.2 & 752027.400810185 & 708088.225 & 43939.1758101852 & 26179.7991898148 \tabularnewline
40 & 763316.2 & 783346.31886574 & 703887.358333333 & 79458.9605324074 & -20030.1188657407 \tabularnewline
41 & 658531.6 & 703256.422337963 & 698408.395833333 & 4848.02650462962 & -44724.8223379629 \tabularnewline
42 & 831700.1 & 795361.996643518 & 694094.016666667 & 101267.979976852 & 36338.1033564815 \tabularnewline
43 & 664156.3 & 662248.519560185 & 688168.429166667 & -25919.9096064815 & 1907.78043981479 \tabularnewline
44 & 621402.1 & 601191.60150463 & 678656.4375 & -77464.8359953704 & 20210.4984953704 \tabularnewline
45 & 683588.7 & 684602.000810185 & 666911.033333333 & 17690.9674768518 & -1013.30081018514 \tabularnewline
46 & 600023.8 & 591104.969560185 & 652647.45 & -61542.4804398148 & 8918.83043981495 \tabularnewline
47 & 643273.8 & 659468.084837963 & 643236.5875 & 16231.4973379630 & -16194.2848379629 \tabularnewline
48 & 653615.9 & 651199.306365741 & 631674.1125 & 19525.1938657408 & 2416.59363425930 \tabularnewline
49 & 620177.5 & 546516.958449074 & 616277.658333333 & -69760.6998842592 & 73660.541550926 \tabularnewline
50 & 574128.8 & 556279.974421296 & 604553.85 & -48273.8755787037 & 17848.8255787038 \tabularnewline
51 & 599828 & 641137.717476852 & 597198.541666667 & 43939.1758101852 & -41309.7174768519 \tabularnewline
52 & 599369.4 & 674134.460532407 & 594675.5 & 79458.9605324074 & -74765.0605324074 \tabularnewline
53 & 596617.7 & 597377.593171296 & 592529.566666667 & 4848.02650462962 & -759.893171296222 \tabularnewline
54 & 616114.6 & 690622.859143518 & 589354.879166667 & 101267.979976852 & -74508.2591435185 \tabularnewline
55 & 510226.9 & 563026.982060185 & 588946.891666667 & -25919.9096064815 & -52800.0820601851 \tabularnewline
56 & 493960.1 & 516997.172337963 & 594462.008333333 & -77464.8359953704 & -23037.0723379629 \tabularnewline
57 & 634503.3 & 622059.834143518 & 604368.866666667 & 17690.9674768518 & 12443.4658564817 \tabularnewline
58 & 588556.2 & 554992.998726852 & 616535.479166667 & -61542.4804398148 & 33563.2012731482 \tabularnewline
59 & 603239 & 647293.847337963 & 631062.35 & 16231.4973379630 & -44054.8473379629 \tabularnewline
60 & 617458.2 & 668165.573032407 & 648640.379166667 & 19525.1938657408 & -50707.3730324074 \tabularnewline
61 & 646543.5 & 599111.920949074 & 668872.620833333 & -69760.6998842592 & 47431.5790509258 \tabularnewline
62 & 680125.6 & 644494.64525463 & 692768.520833333 & -48273.8755787037 & 35630.9547453705 \tabularnewline
63 & 731595.8 & 762394.629976852 & 718455.454166666 & 43939.1758101852 & -30798.8299768516 \tabularnewline
64 & 759600.3 & 818356.13136574 & 738897.170833333 & 79458.9605324074 & -58755.8313657406 \tabularnewline
65 & 785031.7 & 766117.280671296 & 761269.254166667 & 4848.02650462962 & 18914.4193287037 \tabularnewline
66 & 849573.3 & 893005.100810185 & 791737.120833333 & 101267.979976852 & -43431.8008101851 \tabularnewline
67 & 762342 & 782798.432060185 & 808718.341666667 & -25919.9096064815 & -20456.4320601851 \tabularnewline
68 & 815346.6 & 740038.130671296 & 817502.966666667 & -77464.8359953704 & 75308.4693287038 \tabularnewline
69 & 929603.2 & 860527.100810185 & 842836.133333333 & 17690.9674768518 & 69076.0991898148 \tabularnewline
70 & 784057.5 & 825984.515393518 & 887526.995833333 & -61542.4804398148 & -41927.0153935184 \tabularnewline
71 & 944667.7 & 943842.772337963 & 927611.275 & 16231.4973379630 & 824.92766203708 \tabularnewline
72 & 1007258.3 & 981643.24386574 & 962118.05 & 19525.1938657408 & 25615.0561342594 \tabularnewline
73 & 664292.7 & 924476.60011574 & 994237.3 & -69760.6998842592 & -260183.900115741 \tabularnewline
74 & 873207.4 & 956375.261921296 & 1004649.1375 & -48273.8755787037 & -83167.8619212962 \tabularnewline
75 & 1146510 & 1051783.45497685 & 1007844.27916667 & 43939.1758101852 & 94726.5450231482 \tabularnewline
76 & 1417266.8 & 1097759.07719907 & 1018300.11666667 & 79458.9605324074 & 319507.722800926 \tabularnewline
77 & 1089387.9 & 1037911.64733796 & 1033063.62083333 & 4848.02650462962 & 51476.2526620372 \tabularnewline
78 & 1373379.7 & 1147318.84664352 & 1046050.86666667 & 101267.979976852 & 226060.853356482 \tabularnewline
79 & 1009397.6 & 1041485.74456019 & 1067405.65416667 & -25919.9096064815 & -32088.1445601851 \tabularnewline
80 & 818175.1 & 1010652.32233796 & 1088117.15833333 & -77464.8359953704 & -192477.222337963 \tabularnewline
81 & 1003458.1 & 1101351.10497685 & 1083660.1375 & 17690.9674768518 & -97893.0049768515 \tabularnewline
82 & 961142.7 & 998486.069560185 & 1060028.55 & -61542.4804398148 & -37343.369560185 \tabularnewline
83 & 1121906.6 & 1056981.67650463 & 1040750.17916667 & 16231.4973379630 & 64924.9234953705 \tabularnewline
84 & 1141713.3 & 1049505.74386574 & 1029980.55 & 19525.1938657408 & 92207.5561342592 \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=40970&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]-69760.6998842592[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]487190[/C][C]NA[/C][C]NA[/C][C]-48273.8755787037[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]519493[/C][C]NA[/C][C]NA[/C][C]43939.1758101852[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]519453[/C][C]NA[/C][C]NA[/C][C]79458.9605324074[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]538588[/C][C]NA[/C][C]NA[/C][C]4848.02650462962[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]438224[/C][C]NA[/C][C]NA[/C][C]101267.979976852[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]542034[/C][C]506280.882060185[/C][C]532200.791666667[/C][C]-25919.9096064815[/C][C]35753.1179398148[/C][/ROW]
[ROW][C]8[/C][C]512027[/C][C]459014.497337963[/C][C]536479.333333333[/C][C]-77464.8359953704[/C][C]53012.5026620372[/C][/ROW]
[ROW][C]9[/C][C]619880[/C][C]559928.967476852[/C][C]542238[/C][C]17690.9674768518[/C][C]59951.0325231482[/C][/ROW]
[ROW][C]10[/C][C]533737[/C][C]484110.061226852[/C][C]545652.541666667[/C][C]-61542.4804398148[/C][C]49626.9387731482[/C][/ROW]
[ROW][C]11[/C][C]573789[/C][C]562567.03900463[/C][C]546335.541666667[/C][C]16231.4973379630[/C][C]11221.9609953704[/C][/ROW]
[ROW][C]12[/C][C]589213[/C][C]573019.902199074[/C][C]553494.708333333[/C][C]19525.1938657408[/C][C]16193.0978009258[/C][/ROW]
[ROW][C]13[/C][C]532168[/C][C]493397.300115741[/C][C]563158[/C][C]-69760.6998842592[/C][C]38770.6998842594[/C][/ROW]
[ROW][C]14[/C][C]551102[/C][C]521473.124421296[/C][C]569747[/C][C]-48273.8755787037[/C][C]29628.8755787037[/C][/ROW]
[ROW][C]15[/C][C]593789[/C][C]618334.550810185[/C][C]574395.375[/C][C]43939.1758101852[/C][C]-24545.5508101851[/C][/ROW]
[ROW][C]16[/C][C]527106[/C][C]658135.252199074[/C][C]578676.291666667[/C][C]79458.9605324074[/C][C]-131029.252199074[/C][/ROW]
[ROW][C]17[/C][C]547327[/C][C]590385.52650463[/C][C]585537.5[/C][C]4848.02650462962[/C][C]-43058.5265046296[/C][/ROW]
[ROW][C]18[/C][C]601305[/C][C]693808.604976852[/C][C]592540.625[/C][C]101267.979976852[/C][C]-92503.6049768518[/C][/ROW]
[ROW][C]19[/C][C]610872[/C][C]573037.965393518[/C][C]598957.875[/C][C]-25919.9096064815[/C][C]37834.0346064816[/C][/ROW]
[ROW][C]20[/C][C]601325[/C][C]527093.372337963[/C][C]604558.208333333[/C][C]-77464.8359953704[/C][C]74231.6276620372[/C][/ROW]
[ROW][C]21[/C][C]642143[/C][C]629505.884143519[/C][C]611814.916666667[/C][C]17690.9674768518[/C][C]12637.1158564815[/C][/ROW]
[ROW][C]22[/C][C]614216[/C][C]563465.269560185[/C][C]625007.75[/C][C]-61542.4804398148[/C][C]50750.7304398147[/C][/ROW]
[ROW][C]23[/C][C]657979[/C][C]656906.53900463[/C][C]640675.041666667[/C][C]16231.4973379630[/C][C]1072.46099537041[/C][/ROW]
[ROW][C]24[/C][C]673098[/C][C]673273.652199074[/C][C]653748.458333333[/C][C]19525.1938657408[/C][C]-175.652199074044[/C][/ROW]
[ROW][C]25[/C][C]602297[/C][C]595473.095949074[/C][C]665233.795833333[/C][C]-69760.6998842592[/C][C]6823.9040509261[/C][/ROW]
[ROW][C]26[/C][C]615381[/C][C]625668.724421296[/C][C]673942.6[/C][C]-48273.8755787037[/C][C]-10287.7244212963[/C][/ROW]
[ROW][C]27[/C][C]703671[/C][C]725162.438310185[/C][C]681223.2625[/C][C]43939.1758101852[/C][C]-21491.4383101852[/C][/ROW]
[ROW][C]28[/C][C]733852[/C][C]766018.652199074[/C][C]686559.691666667[/C][C]79458.9605324074[/C][C]-32166.6521990740[/C][/ROW]
[ROW][C]29[/C][C]716596[/C][C]695682.622337963[/C][C]690834.595833333[/C][C]4848.02650462962[/C][C]20913.3776620372[/C][/ROW]
[ROW][C]30[/C][C]745798[/C][C]794992.484143518[/C][C]693724.504166667[/C][C]101267.979976852[/C][C]-49194.4841435184[/C][/ROW]
[ROW][C]31[/C][C]742027.1[/C][C]673663.448726852[/C][C]699583.358333333[/C][C]-25919.9096064815[/C][C]68363.6512731481[/C][/ROW]
[ROW][C]32[/C][C]679181.2[/C][C]630656.693171296[/C][C]708121.529166667[/C][C]-77464.8359953704[/C][C]48524.5068287037[/C][/ROW]
[ROW][C]33[/C][C]739022.7[/C][C]731512.267476852[/C][C]713821.3[/C][C]17690.9674768518[/C][C]7510.43252314813[/C][/ROW]
[ROW][C]34[/C][C]645410.6[/C][C]656612.169560185[/C][C]718154.65[/C][C]-61542.4804398148[/C][C]-11201.5695601852[/C][/ROW]
[ROW][C]35[/C][C]729382.1[/C][C]733194.472337963[/C][C]716962.975[/C][C]16231.4973379630[/C][C]-3812.37233796297[/C][/ROW]
[ROW][C]36[/C][C]671052.7[/C][C]737648.073032407[/C][C]718122.879166667[/C][C]19525.1938657408[/C][C]-66595.3730324075[/C][/ROW]
[ROW][C]37[/C][C]744954.8[/C][C]648696.816782407[/C][C]718457.516666667[/C][C]-69760.6998842592[/C][C]96257.9832175927[/C][/ROW]
[ROW][C]38[/C][C]677639.3[/C][C]664531.561921296[/C][C]712805.4375[/C][C]-48273.8755787037[/C][C]13107.7380787039[/C][/ROW]
[ROW][C]39[/C][C]778207.2[/C][C]752027.400810185[/C][C]708088.225[/C][C]43939.1758101852[/C][C]26179.7991898148[/C][/ROW]
[ROW][C]40[/C][C]763316.2[/C][C]783346.31886574[/C][C]703887.358333333[/C][C]79458.9605324074[/C][C]-20030.1188657407[/C][/ROW]
[ROW][C]41[/C][C]658531.6[/C][C]703256.422337963[/C][C]698408.395833333[/C][C]4848.02650462962[/C][C]-44724.8223379629[/C][/ROW]
[ROW][C]42[/C][C]831700.1[/C][C]795361.996643518[/C][C]694094.016666667[/C][C]101267.979976852[/C][C]36338.1033564815[/C][/ROW]
[ROW][C]43[/C][C]664156.3[/C][C]662248.519560185[/C][C]688168.429166667[/C][C]-25919.9096064815[/C][C]1907.78043981479[/C][/ROW]
[ROW][C]44[/C][C]621402.1[/C][C]601191.60150463[/C][C]678656.4375[/C][C]-77464.8359953704[/C][C]20210.4984953704[/C][/ROW]
[ROW][C]45[/C][C]683588.7[/C][C]684602.000810185[/C][C]666911.033333333[/C][C]17690.9674768518[/C][C]-1013.30081018514[/C][/ROW]
[ROW][C]46[/C][C]600023.8[/C][C]591104.969560185[/C][C]652647.45[/C][C]-61542.4804398148[/C][C]8918.83043981495[/C][/ROW]
[ROW][C]47[/C][C]643273.8[/C][C]659468.084837963[/C][C]643236.5875[/C][C]16231.4973379630[/C][C]-16194.2848379629[/C][/ROW]
[ROW][C]48[/C][C]653615.9[/C][C]651199.306365741[/C][C]631674.1125[/C][C]19525.1938657408[/C][C]2416.59363425930[/C][/ROW]
[ROW][C]49[/C][C]620177.5[/C][C]546516.958449074[/C][C]616277.658333333[/C][C]-69760.6998842592[/C][C]73660.541550926[/C][/ROW]
[ROW][C]50[/C][C]574128.8[/C][C]556279.974421296[/C][C]604553.85[/C][C]-48273.8755787037[/C][C]17848.8255787038[/C][/ROW]
[ROW][C]51[/C][C]599828[/C][C]641137.717476852[/C][C]597198.541666667[/C][C]43939.1758101852[/C][C]-41309.7174768519[/C][/ROW]
[ROW][C]52[/C][C]599369.4[/C][C]674134.460532407[/C][C]594675.5[/C][C]79458.9605324074[/C][C]-74765.0605324074[/C][/ROW]
[ROW][C]53[/C][C]596617.7[/C][C]597377.593171296[/C][C]592529.566666667[/C][C]4848.02650462962[/C][C]-759.893171296222[/C][/ROW]
[ROW][C]54[/C][C]616114.6[/C][C]690622.859143518[/C][C]589354.879166667[/C][C]101267.979976852[/C][C]-74508.2591435185[/C][/ROW]
[ROW][C]55[/C][C]510226.9[/C][C]563026.982060185[/C][C]588946.891666667[/C][C]-25919.9096064815[/C][C]-52800.0820601851[/C][/ROW]
[ROW][C]56[/C][C]493960.1[/C][C]516997.172337963[/C][C]594462.008333333[/C][C]-77464.8359953704[/C][C]-23037.0723379629[/C][/ROW]
[ROW][C]57[/C][C]634503.3[/C][C]622059.834143518[/C][C]604368.866666667[/C][C]17690.9674768518[/C][C]12443.4658564817[/C][/ROW]
[ROW][C]58[/C][C]588556.2[/C][C]554992.998726852[/C][C]616535.479166667[/C][C]-61542.4804398148[/C][C]33563.2012731482[/C][/ROW]
[ROW][C]59[/C][C]603239[/C][C]647293.847337963[/C][C]631062.35[/C][C]16231.4973379630[/C][C]-44054.8473379629[/C][/ROW]
[ROW][C]60[/C][C]617458.2[/C][C]668165.573032407[/C][C]648640.379166667[/C][C]19525.1938657408[/C][C]-50707.3730324074[/C][/ROW]
[ROW][C]61[/C][C]646543.5[/C][C]599111.920949074[/C][C]668872.620833333[/C][C]-69760.6998842592[/C][C]47431.5790509258[/C][/ROW]
[ROW][C]62[/C][C]680125.6[/C][C]644494.64525463[/C][C]692768.520833333[/C][C]-48273.8755787037[/C][C]35630.9547453705[/C][/ROW]
[ROW][C]63[/C][C]731595.8[/C][C]762394.629976852[/C][C]718455.454166666[/C][C]43939.1758101852[/C][C]-30798.8299768516[/C][/ROW]
[ROW][C]64[/C][C]759600.3[/C][C]818356.13136574[/C][C]738897.170833333[/C][C]79458.9605324074[/C][C]-58755.8313657406[/C][/ROW]
[ROW][C]65[/C][C]785031.7[/C][C]766117.280671296[/C][C]761269.254166667[/C][C]4848.02650462962[/C][C]18914.4193287037[/C][/ROW]
[ROW][C]66[/C][C]849573.3[/C][C]893005.100810185[/C][C]791737.120833333[/C][C]101267.979976852[/C][C]-43431.8008101851[/C][/ROW]
[ROW][C]67[/C][C]762342[/C][C]782798.432060185[/C][C]808718.341666667[/C][C]-25919.9096064815[/C][C]-20456.4320601851[/C][/ROW]
[ROW][C]68[/C][C]815346.6[/C][C]740038.130671296[/C][C]817502.966666667[/C][C]-77464.8359953704[/C][C]75308.4693287038[/C][/ROW]
[ROW][C]69[/C][C]929603.2[/C][C]860527.100810185[/C][C]842836.133333333[/C][C]17690.9674768518[/C][C]69076.0991898148[/C][/ROW]
[ROW][C]70[/C][C]784057.5[/C][C]825984.515393518[/C][C]887526.995833333[/C][C]-61542.4804398148[/C][C]-41927.0153935184[/C][/ROW]
[ROW][C]71[/C][C]944667.7[/C][C]943842.772337963[/C][C]927611.275[/C][C]16231.4973379630[/C][C]824.92766203708[/C][/ROW]
[ROW][C]72[/C][C]1007258.3[/C][C]981643.24386574[/C][C]962118.05[/C][C]19525.1938657408[/C][C]25615.0561342594[/C][/ROW]
[ROW][C]73[/C][C]664292.7[/C][C]924476.60011574[/C][C]994237.3[/C][C]-69760.6998842592[/C][C]-260183.900115741[/C][/ROW]
[ROW][C]74[/C][C]873207.4[/C][C]956375.261921296[/C][C]1004649.1375[/C][C]-48273.8755787037[/C][C]-83167.8619212962[/C][/ROW]
[ROW][C]75[/C][C]1146510[/C][C]1051783.45497685[/C][C]1007844.27916667[/C][C]43939.1758101852[/C][C]94726.5450231482[/C][/ROW]
[ROW][C]76[/C][C]1417266.8[/C][C]1097759.07719907[/C][C]1018300.11666667[/C][C]79458.9605324074[/C][C]319507.722800926[/C][/ROW]
[ROW][C]77[/C][C]1089387.9[/C][C]1037911.64733796[/C][C]1033063.62083333[/C][C]4848.02650462962[/C][C]51476.2526620372[/C][/ROW]
[ROW][C]78[/C][C]1373379.7[/C][C]1147318.84664352[/C][C]1046050.86666667[/C][C]101267.979976852[/C][C]226060.853356482[/C][/ROW]
[ROW][C]79[/C][C]1009397.6[/C][C]1041485.74456019[/C][C]1067405.65416667[/C][C]-25919.9096064815[/C][C]-32088.1445601851[/C][/ROW]
[ROW][C]80[/C][C]818175.1[/C][C]1010652.32233796[/C][C]1088117.15833333[/C][C]-77464.8359953704[/C][C]-192477.222337963[/C][/ROW]
[ROW][C]81[/C][C]1003458.1[/C][C]1101351.10497685[/C][C]1083660.1375[/C][C]17690.9674768518[/C][C]-97893.0049768515[/C][/ROW]
[ROW][C]82[/C][C]961142.7[/C][C]998486.069560185[/C][C]1060028.55[/C][C]-61542.4804398148[/C][C]-37343.369560185[/C][/ROW]
[ROW][C]83[/C][C]1121906.6[/C][C]1056981.67650463[/C][C]1040750.17916667[/C][C]16231.4973379630[/C][C]64924.9234953705[/C][/ROW]
[ROW][C]84[/C][C]1141713.3[/C][C]1049505.74386574[/C][C]1029980.55[/C][C]19525.1938657408[/C][C]92207.5561342592[/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=40970&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40970&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
1493395NANA-69760.6998842592NA
2487190NANA-48273.8755787037NA
3519493NANA43939.1758101852NA
4519453NANA79458.9605324074NA
5538588NANA4848.02650462962NA
6438224NANA101267.979976852NA
7542034506280.882060185532200.791666667-25919.909606481535753.1179398148
8512027459014.497337963536479.333333333-77464.835995370453012.5026620372
9619880559928.96747685254223817690.967476851859951.0325231482
10533737484110.061226852545652.541666667-61542.480439814849626.9387731482
11573789562567.03900463546335.54166666716231.497337963011221.9609953704
12589213573019.902199074553494.70833333319525.193865740816193.0978009258
13532168493397.300115741563158-69760.699884259238770.6998842594
14551102521473.124421296569747-48273.875578703729628.8755787037
15593789618334.550810185574395.37543939.1758101852-24545.5508101851
16527106658135.252199074578676.29166666779458.9605324074-131029.252199074
17547327590385.52650463585537.54848.02650462962-43058.5265046296
18601305693808.604976852592540.625101267.979976852-92503.6049768518
19610872573037.965393518598957.875-25919.909606481537834.0346064816
20601325527093.372337963604558.208333333-77464.835995370474231.6276620372
21642143629505.884143519611814.91666666717690.967476851812637.1158564815
22614216563465.269560185625007.75-61542.480439814850750.7304398147
23657979656906.53900463640675.04166666716231.49733796301072.46099537041
24673098673273.652199074653748.45833333319525.1938657408-175.652199074044
25602297595473.095949074665233.795833333-69760.69988425926823.9040509261
26615381625668.724421296673942.6-48273.8755787037-10287.7244212963
27703671725162.438310185681223.262543939.1758101852-21491.4383101852
28733852766018.652199074686559.69166666779458.9605324074-32166.6521990740
29716596695682.622337963690834.5958333334848.0265046296220913.3776620372
30745798794992.484143518693724.504166667101267.979976852-49194.4841435184
31742027.1673663.448726852699583.358333333-25919.909606481568363.6512731481
32679181.2630656.693171296708121.529166667-77464.835995370448524.5068287037
33739022.7731512.267476852713821.317690.96747685187510.43252314813
34645410.6656612.169560185718154.65-61542.4804398148-11201.5695601852
35729382.1733194.472337963716962.97516231.4973379630-3812.37233796297
36671052.7737648.073032407718122.87916666719525.1938657408-66595.3730324075
37744954.8648696.816782407718457.516666667-69760.699884259296257.9832175927
38677639.3664531.561921296712805.4375-48273.875578703713107.7380787039
39778207.2752027.400810185708088.22543939.175810185226179.7991898148
40763316.2783346.31886574703887.35833333379458.9605324074-20030.1188657407
41658531.6703256.422337963698408.3958333334848.02650462962-44724.8223379629
42831700.1795361.996643518694094.016666667101267.97997685236338.1033564815
43664156.3662248.519560185688168.429166667-25919.90960648151907.78043981479
44621402.1601191.60150463678656.4375-77464.835995370420210.4984953704
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Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = additive ; par2 = 12 ;
Parameters (R input):
par1 = additive ; par2 = 12 ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')