R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(5204472,5185089,5165433,5124756,5527158,5505864,5204472,5004090,5023473,5023473,5045040,5083806,5144139,5144139,5105373,5004090,5527158,5606874,5486481,5204472,5325138,5144139,5225766,5264805,5305482,5204472,5225766,5083806,5527158,5667207,5546814,5325138,5566197,5305482,5546814,5527158,5587491,5365815,5606874,5587491,5949216,5867589,5546814,5385198,5606874,5305482,5527158,5566197,5647824,5467098,5566197,5626530,5848206,5667207,5426148,5165433,5406765,4743375,5064423,5245149,5426148,5165433,5165433,5165433,5305482,5105373,4842747,4622982,4782414,4159974,4541355,4763031,4803708,4582032,4601415,4541355,4743375,4601415,4321590,4119297,4461366,3718533,4200924,4420689,4420689,4159974,3918915,3899532,4119297,3918915,3537807,3275181,3557190,2894073,3496857,3817632,3918915,3697239,3417141,3617523,3697239,3636906,3033849,2754024,2954133,2351349,2973789,3195465,3376191,3074799,2792790,2954133,3033849,2874417,2271633,2009007,2250066,1586949,2310399,2754024)
> par2 = '12'
> par1 = 'additive'
> par2 <- '12'
> par1 <- 'additive'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: root
> #To cite this work: Wessa P., (2013), Classical Decomposition (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_decompose.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1]  180596.98   11420.39  -13106.63   24530.71  305443.92  239437.33
 [7]  -26488.69 -240577.56  -16741.58 -444337.94  -92051.66   71874.73
> postscript(file="/var/wessaorg/rcomp/tmp/1q02q1439737077.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/21zxa1439737077.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3yaey1439737077.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4m4jp1439737077.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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])
+ if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
+ a<-table.element(a,signif(m$trend[i],6))
+ a<-table.element(a,signif(m$seasonal[i],6))
+ a<-table.element(a,signif(m$random[i],6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/561en1439737077.tab") 
> 
> try(system("convert tmp/1q02q1439737077.ps tmp/1q02q1439737077.png",intern=TRUE))
character(0)
> try(system("convert tmp/21zxa1439737077.ps tmp/21zxa1439737077.png",intern=TRUE))
character(0)
> try(system("convert tmp/3yaey1439737077.ps tmp/3yaey1439737077.png",intern=TRUE))
character(0)
> try(system("convert tmp/4m4jp1439737077.ps tmp/4m4jp1439737077.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.875   0.292   2.188