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Type 'q()' to quit R. > x <- c(178600 + ,181600 + ,178500 + ,176700 + ,183500 + ,175900 + ,179800 + ,186500 + ,182700 + ,182800 + ,178600 + ,183300 + ,182900 + ,191400 + ,189300 + ,192200 + ,187900 + ,193900 + ,189100 + ,193100 + ,194800 + ,200200 + ,211500 + ,202100 + ,200300 + ,199200 + ,204900 + ,207300 + ,200000 + ,197700 + ,202200 + ,200200 + ,208300 + ,215100 + ,210700 + ,208100 + ,209000 + ,211000 + ,210200 + ,205500 + ,211400 + ,211700 + ,209300 + ,207500 + ,203300 + ,207100 + ,206900 + ,228700 + ,226900 + ,265000 + ,227100 + ,228100 + ,226500 + ,225200 + ,217800 + ,221300 + ,215300 + ,231300 + ,227100 + ,237800 + ,230200 + ,233400 + ,231100 + ,237200 + ,243700 + ,239700 + ,248400 + ,241000 + ,254500 + ,242800 + ,268300 + ,253900 + ,262100 + ,264100 + ,261000 + ,269300 + ,260400 + ,263200 + ,279200 + ,272200 + ,269200 + ,289600 + ,283200 + ,284300 + ,283000 + ,289100 + ,289600 + ,289100 + ,287400 + ,279600 + ,289300 + ,295000 + ,299600 + ,293600 + ,294400 + ,290200 + ,301000 + ,307900 + ,298800 + ,310300 + ,293900 + ,305000 + ,311300 + ,317300 + ,296200 + ,306800 + ,291800 + ,301900 + ,314600 + ,321500 + ,329400 + ,311700 + ,309700 + ,306500 + ,307100 + ,301300 + ,292200 + ,310100 + ,316800 + ,284400 + ,284600 + ,301200 + ,287600 + ,314300 + ,298200 + ,299400 + ,301900 + ,265500 + ,287100 + ,274000 + ,290100 + ,263100 + ,245200 + ,258600 + ,259800 + ,269800 + ,274600 + ,274800 + ,271100 + ,257800 + ,290300 + ,262200 + ,270000 + ,290600) > par2 = '12' > par1 = 'multiplicative' > #'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 [1] 0.9895500 1.0243528 1.0011565 1.0137502 0.9975045 0.9954556 1.0001907 [8] 0.9876653 0.9864713 1.0018885 1.0084434 0.9935710 > postscript(file="/var/www/html/freestat/rcomp/tmp/1zx5z1275050483.ps",horizontal=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/www/html/freestat/rcomp/tmp/2zx5z1275050483.ps",horizontal=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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/39o4k1275050483.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/49o4k1275050483.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'t',header=TRUE) > a<-table.element(a,'Observations',header=TRUE) > a<-table.element(a,'Fit',header=TRUE) > a<-table.element(a,'Trend',header=TRUE) > a<-table.element(a,'Seasonal',header=TRUE) > a<-table.element(a,'Random',header=TRUE) > a<-table.row.end(a) > for (i in 1:length(m$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/html/freestat/rcomp/tmp/5of2s1275050483.tab") > > try(system("convert tmp/1zx5z1275050483.ps tmp/1zx5z1275050483.png",intern=TRUE)) character(0) > try(system("convert tmp/2zx5z1275050483.ps tmp/2zx5z1275050483.png",intern=TRUE)) character(0) > try(system("convert tmp/39o4k1275050483.ps tmp/39o4k1275050483.png",intern=TRUE)) character(0) > try(system("convert tmp/49o4k1275050483.ps tmp/49o4k1275050483.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.871 0.921 2.081