x <- c(1.31,1.32,1.32,1.33,1.33,1.33,1.34,1.33,1.32,1.31,1.31,1.33,1.34,1.33,1.33,1.34,1.34,1.34,1.35,1.35,1.35,1.34,1.35,1.36,1.35,1.36,1.36,1.36,1.37,1.39,1.39,1.38,1.37,1.39,1.38,1.4,1.41,1.4,1.42,1.43,1.44,1.44,1.44,1.46,1.46,1.49,1.49,1.48,1.49,1.5,1.5,1.5,1.47,1.49,1.49,1.5,1.52,1.52,1.52,1.52,1.53,1.54,1.51,1.49,1.49,1.49,1.48,1.49,1.49,1.47,1.49,1.49) 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/fisher/rcomp/tmp/1zwd61386887115.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/fisher/rcomp/tmp/2nn001386887115.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') par(op) dev.off() postscript(file="/var/fisher/rcomp/tmp/3fblo1386887115.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) op <- par(mfrow = c(2,2)) spectrum(as.numeric(x),main='Observed') spectrum(as.numeric(m$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$random)]),main='Random') par(op) dev.off() postscript(file="/var/fisher/rcomp/tmp/4azob1386887115.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) op <- par(mfrow = c(2,2)) cpgram(as.numeric(x),main='Observed') cpgram(as.numeric(m$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$random)]),main='Random') par(op) dev.off() #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab load(file="/var/fisher/rcomp/createtable") a<-table.start() a<-table.row.start(a) a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'t',header=TRUE) a<-table.element(a,'Observations',header=TRUE) a<-table.element(a,'Fit',header=TRUE) a<-table.element(a,'Trend',header=TRUE) a<-table.element(a,'Seasonal',header=TRUE) a<-table.element(a,'Random',header=TRUE) a<-table.row.end(a) for (i in 1:length(m$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/fisher/rcomp/tmp/5kqjg1386887115.tab") try(system("convert tmp/1zwd61386887115.ps tmp/1zwd61386887115.png",intern=TRUE)) try(system("convert tmp/2nn001386887115.ps tmp/2nn001386887115.png",intern=TRUE)) try(system("convert tmp/3fblo1386887115.ps tmp/3fblo1386887115.png",intern=TRUE)) try(system("convert tmp/4azob1386887115.ps tmp/4azob1386887115.png",intern=TRUE))