R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> x <- c(7175,7048.75,6922.5,6670,9225,9098.75,7175,5897.5,6023.75,6023.75,6150,6416.25,5645,4872.5,4240,4240,6670,6922.5,4998.75,2822.5,3973.75,3973.75,4872.5,5391.25,5265,3973.75,4620,4366.25,6542.5,6023.75,3973.75,2442.5,3847.5,4240,4620,5125,4100,3215,3595,3721.25,7048.75,7048.75,5125,4872.5,5645,5265,6290,7567.5,7821.25,6023.75,5517.5,4998.75,8466.25,8720,8073.75,8720,8592.5,7567.5,8720,9997.5,10516.25,8972.5,7947.5,8720,12047.5,13072.5,12820,13325,13198.75,11921.25,14097.5,14616.25,15375,13072.5,12173.75,13198.75,15641.25,17817.5,17298.75,17298.75,17552.5,16666.25,18970,18970,18577.5,16400,16792.5,17046.25,18716.25,20892.5,19348.75,20121.25,19475,19096.25,22045,21398.75,20500,19222.5,20500,21146.25,21917.5,22942.5,21917.5,22550,21778.75,21652.5,24853.75,25120,24095,22297.5,23828.75,24473.75,25246.25,26397.5,25246.25,26145,25752.5,24347.5,27296.25,27296.25)
> 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]   497.2314 -1218.5036 -1274.1344 -1150.7200   931.5485  1574.8992
 [7]   189.9108  -256.9353  -179.4121  -749.1344   673.4351   961.8147
> postscript(file="/var/wessaorg/rcomp/tmp/1hyxl1470868626.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/2hknf1470868626.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3o4me1470868626.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4xgrh1470868626.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/51c3v1470868626.tab") 
> 
> try(system("convert tmp/1hyxl1470868626.ps tmp/1hyxl1470868626.png",intern=TRUE))
character(0)
> try(system("convert tmp/2hknf1470868626.ps tmp/2hknf1470868626.png",intern=TRUE))
character(0)
> try(system("convert tmp/3o4me1470868626.ps tmp/3o4me1470868626.png",intern=TRUE))
character(0)
> try(system("convert tmp/4xgrh1470868626.ps tmp/4xgrh1470868626.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.129   0.138   2.294