R version 3.3.2 (2016-10-31) -- "Sincere Pumpkin Patch"
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> x <- c(75.99,76.31,76.51,76.75,77.23,77.22,77.25,77.36,77.57,77.88,78.29,78.42,78.96,79.85,80.05,80.16,80.29,80.36,80.48,80.95,82.3,84.81,85.4,86.13,87.02,87.38,87.5,87.91,88.06,88.09,88.16,88.33,88.52,88.96,89.26,89.34,89.09,89.25,89.31,89.28,89.32,89.47,89.59,89.62,89.71,89.9,90.04,90.05,90.18,90.5,90.63,90.75,90.76,90.67,90.5,90.8,91.22,92.19,92.51,92.67,93.75,94.1,94.96,95.21,95.33,95.43,95.44,95.64,95.8,95.87,95.98,96.07,96.23,96.32,96.55,96.73,96.61,96.64,96.86,97.02,97.22,98.1,98.46,98.6,98.78,99.13,99.48,99.62,99.68,99.95,100.12,100.25,100.47,100.7,100.88,100.95,100.92,101.12,101.19,101.28,101.28,101.3,101.3,101.36,101.45,101.58,101.73,101.84,102.01,102.14,102.16,102.32,102.41,102.4,102.43,102.42,102.3,102.65,102.72,102.86)
> 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]  0.16857253  0.25264660  0.24880401  0.17852623  0.00408179 -0.15883488
 [7] -0.33022377 -0.38915895 -0.30193673  0.09760031  0.14709105  0.08283179
> postscript(file="/var/wessaorg/rcomp/tmp/1130r1480253710.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/2z65h1480253710.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/32nr91480253710.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4xy1u1480253710.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5ajgb1480253710.tab") 
> 
> try(system("convert tmp/1130r1480253710.ps tmp/1130r1480253710.png",intern=TRUE))
character(0)
> try(system("convert tmp/2z65h1480253710.ps tmp/2z65h1480253710.png",intern=TRUE))
character(0)
> try(system("convert tmp/32nr91480253710.ps tmp/32nr91480253710.png",intern=TRUE))
character(0)
> try(system("convert tmp/4xy1u1480253710.ps tmp/4xy1u1480253710.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.142   0.128   2.307