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Type 'q()' to quit R. > x <- c(1474200,1419600,1501500,1201200,1556100,1528800,1638000,1692600,1883700,1638000,1556100,1938300,1638000,1228500,1446900,1092000,1528800,1255800,1665300,1501500,1583400,1774500,1747200,2074800,1501500,1255800,1392300,1010100,1446900,1119300,1583400,1501500,1337700,1911000,1719900,1965600,1474200,1365000,1228500,1010100,1337700,1201200,1638000,1583400,1365000,1829100,1692600,2184000,1747200,1064700,1064700,1064700,1255800,1255800,1692600,1556100,1392300,1747200,1610700,2320500,1829100,1064700,1119300,928200,1283100,1474200,1856400,1829100,1474200,1719900,1528800,2184000,1665300,1337700,1201200,900900,1337700,1610700,1883700,1774500,1310400,1883700,1474200,2265900,1883700,1365000,1255800,846300,1337700,1283100,1938300,1938300,1474200,1911000,1419600,2211300,1883700,1392300,1064700,737100,1446900,1392300,1829100,2102100,1556100,1747200,1310400,2265900) > 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] 185590.23 -261162.89 -299126.95 -570989.45 -147128.52 -195330.08 [7] 210615.23 143787.11 -48308.20 280571.48 75394.92 626087.11 > postscript(file="/var/wessaorg/rcomp/tmp/1dzjw1439753505.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/2h8bo1439753505.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3lbqh1439753505.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4rt681439753505.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/56y4i1439753505.tab") > > try(system("convert tmp/1dzjw1439753505.ps tmp/1dzjw1439753505.png",intern=TRUE)) character(0) > try(system("convert tmp/2h8bo1439753505.ps tmp/2h8bo1439753505.png",intern=TRUE)) character(0) > try(system("convert tmp/3lbqh1439753505.ps tmp/3lbqh1439753505.png",intern=TRUE)) character(0) > try(system("convert tmp/4rt681439753505.ps tmp/4rt681439753505.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.772 0.318 2.089