Home » date » 2010 » May » 19 »

Personenwagen Australië

*Unverified author*
R Software Module: /rwasp_decompose.wasp (opens new window with default values)
Title produced by software: Classical Decomposition
Date of computation: Wed, 19 May 2010 14:46:10 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/May/19/t12742804196p2yw5pv3lsojmr.htm/, Retrieved Wed, 19 May 2010 16:47:05 +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/2010/May/19/t12742804196p2yw5pv3lsojmr.htm/},
    year = {2010},
}
@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 = {2010},
    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:
KDGP2W52
 
Dataseries X:
» Textbox « » Textfile « » CSV «
40801 49081 52431 59650 75428 78705 68870 70641 80074 76464 69976 92917 92559 73981 71107 96942 86270 69610 57768 80077 71454 70382 69881 84530 79322 80181 82137 88439 91575 82909 73282 94089 108112 95653 85273 105093 102275 99308 79687 93263 114918 103374 65124 104045 101183 95492 85035 90692 107486 98179 82551 106804 110898 89950 65184 95357 98280 92146 77874 100039 104777 102341 71316 88838 85457 70784 70522 88629 88452 98886 79601 108135 113835 101617 68698 79182 86003 84165 68550 90385 100368 99081 81288 103491 111695 82504 62237 78249 92341 84412 75102 90461 106451 98379 72615 98367 116949 95832 68060 83923 87653 78054 57566 78784 88916 84662 63442 77773 88102 87972 61790 95276 104418 95420 82141 104064 96287 78426 59111 76837 76615 65860 57703 68656 77955 65856 60947 69885 80550 73694 67538 76326 84727
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
140801NANA13521.1138888889NA
249081NANA2973.27638888889NA
352431NANA-15274.4569444444NA
459650NANA2163.70138888889NA
575428NANA7977.00138888889NA
678705NANA-3239.11111111112NA
76887052104.268055555670076.4166666667-17972.148611111116765.7319444444
87064177295.488888888973270.54024.98888888889-6654.48888888888
98007482419.734722222275086.16666666677333.56805555556-2345.73472222222
107646481047.576388888977418.16666666673629.40972222223-4583.57638888889
116997668712.763888888979423.75-10710.98611111111263.23611111111
129291785070.184722222279496.54166666675573.643055555567846.81527777777
139255992176.11388888897865513521.1138888889382.886111111118
147398181558.859722222278585.58333333332973.27638888889-7577.85972222222
157110763345.126388888978619.5833333333-15274.45694444447761.8736111111
169694280170.7013888889780072163.7013888888916771.2986111111
178627085726.626388888977749.6257977.00138888889543.373611111107
186961074157.097222222277396.2083333333-3239.11111111112-4547.09722222222
195776858523.059722222276495.2083333333-17972.1486111111-755.059722222213
208007780226.9888888889762024024.98888888889-149.988888888882
217145484253.484722222276919.91666666677333.56805555556-12799.4847222222
227038280654.618055555577025.20833333333629.40972222223-10272.6180555555
236988166180.972222222276891.9583333333-10710.98611111113700.02777777780
248453083240.768055555677667.1255573.643055555561289.23194444444
257932292388.780555555578867.666666666613521.1138888889-13066.7805555555
268018183071.193055555580097.91666666672973.27638888889-2890.19305555554
278213766934.709722222282209.1666666667-15274.456944444415202.2902777778
288843986953.243055555684789.54166666672163.701388888891485.75694444444
299157594460.834722222286483.83333333337977.00138888889-2885.83472222222
308290984742.847222222287981.9583333333-3239.11111111112-1833.84722222223
317328271822.976388888989795.125-17972.14861111111459.02361111112
329408995573.447222222291548.45833333334024.98888888889-1484.44722222222
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37102275109375.1138888899585413521.1138888889-7100.11388888887
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73113835102416.03055555688894.916666666713521.113888888911418.9694444444
7410161791859.193055555688885.91666666672973.276388888899757.80694444444
756869874181.126388888989455.5833333333-15274.4569444444-5483.1263888889
767918292123.909722222289960.20833333332163.70138888889-12941.9097222222
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796855071660.601388888989632.75-17972.1486111111-3110.60138888887
809038592772.197222222288747.20833333334024.98888888889-2387.19722222221
8110036895015.193055555687681.6257333.568055555565352.80694444444
829908191002.951388888987373.54166666673629.409722222238078.0486111111
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85111695101677.53055555688156.416666666713521.113888888910017.4694444445
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876223773414.751388888988689.2083333333-15274.4569444444-11177.7513888889
887824991077.118055555688913.41666666672163.70138888889-12828.1180555556
899234196499.793055555688522.79166666677977.00138888889-4158.79305555556
908441284708.805555555687947.9166666667-3239.11111111112-296.805555555562
917510269981.184722222287953.3333333333-17972.14861111115120.81527777779
929046192752.572222222288727.58333333334024.98888888889-2291.57222222221
9310645196859.109722222289525.54166666667333.568055555569591.8902777778
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97116949102110.94722222288589.833333333313521.113888888914838.0527777778
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1018765391876.543055555683899.54166666677977.00138888889-4223.54305555555
1027805479420.138888888982659.25-3239.11111111112-1366.13888888889
1035756662627.059722222280599.2083333333-17972.1486111111-5061.05972222221
1047878483094.738888888979069.754024.98888888889-4310.73888888888
1058891685814.5680555555784817333.568055555563101.43194444446
1068466282322.201388888978692.79166666673629.409722222232339.79861111111
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1087777386860.143055555681286.55573.64305555556-9087.14305555556
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11610406487966.738888888983941.754024.9888888888916097.2611111111
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1187842685200.076388888981570.66666666673629.40972222223-6774.07638888888
1195911168647.888888888979358.875-10710.9861111111-9536.88888888889
1207683782598.059722222277024.41666666675573.64305555556-5761.05972222221
1217661588430.613888888974909.513521.1138888889-11815.6138888889
1226586075575.568055555672602.29166666672973.27638888889-9715.56805555556
1235770355248.001388888970522.4583333333-15274.45694444442454.99861111112
1246865671833.284722222269669.58333333332163.70138888889-3177.28472222223
1257795577800.543055555669823.54166666677977.00138888889154.456944444435
1266585666914.263888888970153.375-3239.11111111112-1058.26388888891
1276094752497.934722222270470.0833333333-17972.14861111118449.06527777777
12869885NANA4024.98888888889NA
12980550NANA7333.56805555556NA
13073694NANA3629.40972222223NA
13167538NANA-10710.9861111111NA
13276326NANA5573.64305555556NA
13384727NANANANA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/May/19/t12742804196p2yw5pv3lsojmr/1prx31274280367.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/19/t12742804196p2yw5pv3lsojmr/1prx31274280367.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/May/19/t12742804196p2yw5pv3lsojmr/2prx31274280367.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/19/t12742804196p2yw5pv3lsojmr/2prx31274280367.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/May/19/t12742804196p2yw5pv3lsojmr/300en1274280367.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/19/t12742804196p2yw5pv3lsojmr/300en1274280367.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/May/19/t12742804196p2yw5pv3lsojmr/400en1274280367.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/19/t12742804196p2yw5pv3lsojmr/400en1274280367.ps (open in new window)


 
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')
 




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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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