R version 3.3.3 (2017-03-06) -- "Another Canoe"
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> x <- c(93.55,94.11,94.34,94.38,94.39,94.42,94.42,94.47,94.59,94.63,94.84,94.98,95.19,95.76,96.04,96.08,96.2,96.29,96.3,96.31,96.46,96.66,96.83,97,97.1,97.16,97.31,97.33,97.4,97.4,97.52,97.77,98,98.2,98.48,98.53,98.71,99.03,99.52,99.65,99.94,99.98,100.12,100.17,100.38,100.75,100.84,100.9,100.91,101.15,101.25,101.39,101.4,101.53,101.55,101.58,101.58,101.65,101.7,101.71,101.71,101.73,101.73,101.75,101.84,101.95,101.95,101.98,101.99,102.03,102.11,102.14,102.18,102.2,102.28,102.29,102.32,102.33,102.33,102.36,102.54,102.58,102.79,103.01)
> 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] -0.04928819  0.04598958  0.11932292  0.06890625  0.06015625  0.01251736
 [7] -0.03859375 -0.08470486 -0.07602431 -0.03276042  0.00390625 -0.02942708
> postscript(file="/var/wessaorg/rcomp/tmp/1i7jj1493712189.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/2lmw11493712189.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3i2yh1493712189.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/40w281493712189.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5dz4m1493712189.tab") 
> 
> try(system("convert tmp/1i7jj1493712189.ps tmp/1i7jj1493712189.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lmw11493712189.ps tmp/2lmw11493712189.png",intern=TRUE))
character(0)
> try(system("convert tmp/3i2yh1493712189.ps tmp/3i2yh1493712189.png",intern=TRUE))
character(0)
> try(system("convert tmp/40w281493712189.ps tmp/40w281493712189.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.866   0.258   3.185