x <- c(814,1150,1225,1691,1759,1754,2100,2062,2012,1897,1964,2186,966,1549,1538,1612,2078,2137,2907,2249,1883,1739,1828,1868,1138,1430,1809,1763,2200,2067,2503,2141,2103,1972,2181,2344,970,1199,1718,1683,2025,2051,2439,2353,2230,1852,2147,2286,1007,1665,1642,1518,1831,2207,2822,2393,2306,1785,2047,2171,1212,1335,2011,1860,1954,2152,2835,2224,2182,1992,2389,2724,891,1247,2017,2257,2255,2255,3057,3330,1896,2096,2374,2535,1041,1728,2201,2455,2204,2660,3670,2665,2639,2226,2586,2684,1185,1749,2459,2618,2585,3310,3923)
par2 = '12'
par1 = 'additive'
#'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
#Author: Prof. Dr. P. Wessa
#To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
#Source of accompanying publication: Office for Research, Development, and Education
#Technical description: Write here your technical program description (don't use hard returns!)
par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
postscript(file="/var/www/rcomp/tmp/1cywi1305487097.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/www/rcomp/tmp/23n071305487097.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
postscript(file="/var/www/rcomp/tmp/3fh7v1305487097.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$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$random)]),main='Random')
par(op)
dev.off()
postscript(file="/var/www/rcomp/tmp/401c91305487097.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$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/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
load(file="/var/www/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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/var/www/rcomp/tmp/51vbc1305487097.tab") 

try(system("convert tmp/1cywi1305487097.ps tmp/1cywi1305487097.png",intern=TRUE))
try(system("convert tmp/23n071305487097.ps tmp/23n071305487097.png",intern=TRUE))
try(system("convert tmp/3fh7v1305487097.ps tmp/3fh7v1305487097.png",intern=TRUE))
try(system("convert tmp/401c91305487097.ps tmp/401c91305487097.png",intern=TRUE))