R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- c(236.422
+ ,250.580
+ ,279.515
+ ,264.417
+ ,283.706
+ ,281.288
+ ,271.146
+ ,283.944
+ ,269.155
+ ,270.899
+ ,276.507
+ ,319.957
+ ,250.746
+ ,247.772
+ ,280.449
+ ,274.925
+ ,296.013
+ ,287.881
+ ,279.098
+ ,294.763
+ ,261.924
+ ,291.596
+ ,287.537
+ ,326.201
+ ,255.598
+ ,253.086
+ ,285.261
+ ,284.747
+ ,300.402
+ ,288.854
+ ,295.433
+ ,307.256
+ ,273.189
+ ,287.540
+ ,290.705
+ ,337.006
+ ,268.335
+ ,259.060
+ ,293.703
+ ,294.262
+ ,312.404
+ ,301.014
+ ,309.942
+ ,317.079
+ ,293.912
+ ,304.060
+ ,301.299
+ ,357.634
+ ,281.493
+ ,282.478
+ ,319.111
+ ,315.223
+ ,328.445
+ ,321.081
+ ,328.040
+ ,326.362
+ ,313.566
+ ,319.768
+ ,324.315
+ ,387.243
+ ,293.308
+ ,295.109
+ ,339.190
+ ,335.678
+ ,345.401
+ ,351.002
+ ,351.889
+ ,355.773
+ ,333.363
+ ,336.214
+ ,343.910
+ ,405.788
+ ,318.682
+ ,314.189
+ ,362.141
+ ,351.811
+ ,373.727
+ ,366.795
+ ,362.393
+ ,376.006
+ ,346.423
+ ,349.007
+ ,357.224
+ ,418.473
+ ,329.169
+ ,323.456
+ ,374.439
+ ,358.806
+ ,391.816
+ ,376.944
+ ,372.665
+ ,388.357
+ ,354.241
+ ,368.982
+ ,378.233
+ ,426.699
+ ,343.241
+ ,344.577
+ ,373.623
+ ,369.688
+ ,398.816
+ ,379.387
+ ,384.666
+ ,383.879
+ ,351.578
+ ,350.920
+ ,336.629
+ ,385.504
+ ,311.330
+ ,300.545
+ ,329.718
+ ,331.023
+ ,348.944
+ ,345.650
+ ,349.260
+ ,354.597
+ ,325.769
+ ,339.734
+ ,340.543
+ ,401.585
+ ,315.998
+ ,312.327
+ ,362.217
+ ,358.067
+ ,367.321
+ ,360.372
+ ,363.830
+ ,364.525
+ ,347.945
+ ,357.404
+ ,368.182
+ ,429.343)
> par2 = '12'
> par1 = 'additive'
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1] -31.660293 -35.912331   2.148923  -3.102006  15.061477   5.792823
 [7]   6.060640  13.820194 -13.271277  -4.446077  -3.366481  48.874407
> postscript(file="/var/wessaorg/rcomp/tmp/1yu391352555050.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m)
> dev.off()
null device 
          1 
> mylagmax <- length(x)/2
> postscript(file="/var/wessaorg/rcomp/tmp/2vms51352555050.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3hfqd1352555050.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> 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()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/48vac1352555050.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> 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()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/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$trend)) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,m$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="/var/wessaorg/rcomp/tmp/5ciip1352555050.tab") 
> 
> try(system("convert tmp/1yu391352555050.ps tmp/1yu391352555050.png",intern=TRUE))
character(0)
> try(system("convert tmp/2vms51352555050.ps tmp/2vms51352555050.png",intern=TRUE))
character(0)
> try(system("convert tmp/3hfqd1352555050.ps tmp/3hfqd1352555050.png",intern=TRUE))
character(0)
> try(system("convert tmp/48vac1352555050.ps tmp/48vac1352555050.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.231   0.429   3.688