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Kempeneers Liesbeth-Mar 202 A-opgave 9-eigen reeks

*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 11:07:16 -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/t1243962511qcu4vu1lizixznp.htm/, Retrieved Tue, 02 Jun 2009 19:08:36 +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/t1243962511qcu4vu1lizixznp.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 «
196.9 192.1 201.8 186.9 218.0 214.4 227.5 204.1 225.8 223.7 244.7 243.9 257.3 234.5 251.4 243.8 247.4 245.3 262.5 270.0 259.9 262.2 244.9 249.3 268.2 231.2 264.3 252.7 275.5 261.5 275.5 272.3 268.6 270.4 267.7 275.0 272.6 248.6 279.4 270.5 292.8 297.8 296.8 290.9 282.8 312.8 303.2 301.4 289.8 279.6 302.2 299.1 319.7 310.9 315.2 338.5 315.6 321.2 318.5 342.7 261.4 287.0 331.5 326.9 338.6 337.0 358.4 344.5 345.7 344.1 317.4 354.5 345.2 314.1 352.5 361.2 365.9 332.5 364.0 359.1 345.6 366.9 370.2 359.9 366.6 336.3 368.5 374.2 384.3 358.9 407.7 433.3 404.7 392.7 409.7 416.5 414.3 404.3 421.4 372.6 404.7 420.2 438.4 449.1 445.8 413.8 420.5 442.3 438.9 394.5 416.8 402.9 424.5 432.3 484.1 492.7 496.3 471.9 491.2 512.9 482.4 407.9 448.5 431.1 498.8 497.1 517.1 487.7 512.5 550.1 532.5 524.1 515.7 461.0 529.3 467.4 559.8 536.5 531.9 546.5 547.4 536.1 482.8 551.0 532.9 484.1 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'George Udny Yule' @ 72.249.76.132


Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1196.9NANA6.48238811728395NA
2192.1NANA-44.0044174382716NA
3201.8NANA6.48713348765431NA
4186.9NANA-25.3738618827160NA
5218NANA-1.25094521604937NA
6214.4NANA-15.2317322530864NA
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447584NA579.208333333333NANA
448562NA586.375NANA
449639NA594.416666666667NANA
450613NANANANA
451604NANANANA
452613NANANANA
453625NANANANA
454654NANANANA
455638NANANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243962511qcu4vu1lizixznp/112tk1243962428.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243962511qcu4vu1lizixznp/112tk1243962428.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243962511qcu4vu1lizixznp/2zh2q1243962428.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243962511qcu4vu1lizixznp/2zh2q1243962428.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243962511qcu4vu1lizixznp/361ps1243962428.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243962511qcu4vu1lizixznp/361ps1243962428.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243962511qcu4vu1lizixznp/4mdc31243962428.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t1243962511qcu4vu1lizixznp/4mdc31243962428.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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