x <- c(28886,28549,33348,29017,30924,30435,29431,30290,31286,30622,31742,30391,30740,32086,33947,31312,33239,32362,32170,32665,31412,34891,33919,30706,32846,31368,33130,31665,33139,32201,32230,30287,31918,33853,32232,31484,31902,30260,32823,32018,32100,31952,33274,29491,32751,33643,31226,30976,28880,29325,34923,32642,31487,33832,32724,29545,32338,32743,32231,32536)
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
postscript(file="/var/wessaorg/rcomp/tmp/1ezaj1479931120.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(m)
dev.off()
mylagmax <- length(x)/2
postscript(file="/var/wessaorg/rcomp/tmp/26ipj1479931120.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
postscript(file="/var/wessaorg/rcomp/tmp/3qnw71479931120.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$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$random)]),main='Random')
par(op)
dev.off()
postscript(file="/var/wessaorg/rcomp/tmp/4ja611479931120.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$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()

#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/549it1479931120.tab") 

try(system("convert tmp/1ezaj1479931120.ps tmp/1ezaj1479931120.png",intern=TRUE))
try(system("convert tmp/26ipj1479931120.ps tmp/26ipj1479931120.png",intern=TRUE))
try(system("convert tmp/3qnw71479931120.ps tmp/3qnw71479931120.png",intern=TRUE))
try(system("convert tmp/4ja611479931120.ps tmp/4ja611479931120.png",intern=TRUE))