Home » date » 2009 » Jun » 02 »

Datareeks - Aardolie - Silke van den Berg

*Unverified author*
R Software Module: rwasp_decompose.wasp (opens new window with default values)
Title produced by software: Classical Decomposition
Date of computation: Tue, 02 Jun 2009 10:25:26 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1.htm/, Retrieved Tue, 02 Jun 2009 18:25:55 +0200
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
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
 
Output produced by software:


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
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1/1brc81243959922.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1/1brc81243959922.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1/2ivez1243959922.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1/2ivez1243959922.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1/3arw01243959922.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1/3arw01243959922.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1/4nv881243959922.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243959954rb5koe2gjuv2vi1/4nv881243959922.ps (open in new window)


 
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')
 




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This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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