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Type 'q()' to quit R. > x <- c(161949,161634,161287,160652,167176,166856,161949,158687,159007,159007,159323,159990,159990,157043,155745,157043,161634,160967,154763,149510,148527,146563,147892,149510,148874,147545,144950,147545,149856,149190,141656,138394,135132,132505,132190,134150,131523,130541,129559,135132,135768,132505,123670,119745,113541,110910,112208,114172,114172,112559,112208,117465,121710,119745,113190,109932,103061,98817,102079,105341,105341,101097,100781,106319,109932,108630,102079,97835,88652,85075,86372,91946,92261,84092,87039,94226,97488,95523,86692,80484,73297,67724,70004,74910,73613,66426,68706,75893,79821,77541,68706,64782,58893,52684,53666,58573,59208,53319,54302,62502,64462,61173,49075,42871,34671,26502,29129,32706,32075,25835,29444,38280,42204,40244,32391,26186,19631,12093,13427,15707) > 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 [1] -356.1798 -3431.8326 -1697.9205 5368.7184 9887.6535 9302.5193 [7] 1915.6906 -1247.6752 -5281.8140 -7993.1150 -5395.1150 -1070.9298 > postscript(file="/var/wessaorg/rcomp/tmp/1ib981312202654.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/22pd81312202654.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3a4jy1312202654.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4hfwn1312202654.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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,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/wessaorg/rcomp/tmp/5p7r31312202654.tab") > > try(system("convert tmp/1ib981312202654.ps tmp/1ib981312202654.png",intern=TRUE)) character(0) > try(system("convert tmp/22pd81312202654.ps tmp/22pd81312202654.png",intern=TRUE)) character(0) > try(system("convert tmp/3a4jy1312202654.ps tmp/3a4jy1312202654.png",intern=TRUE)) character(0) > try(system("convert tmp/4hfwn1312202654.ps tmp/4hfwn1312202654.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.54 0.24 1.78