R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" Copyright (C) 2013 The R Foundation for Statistical Computing Platform: i686-pc-linux-gnu (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(20.1,20.1,20.1,20.3,20.7,20.6,20.3,19.9,19.7,19.4,19.1,18.8,18.9,18.7,18.8,19.5,19.3,19.1,19.1,19,18.8,19.2,18.9,18.7,18.5,18.4,18.3,18.3,18.3,18.5,19.2,19.4,19.1,19.5,18.8,19.3,20.4,20.9,21.1,20.6,20.4,20.8,21.1,21.6,22,22.2,22.4,22.8,22.7,22.8,22.9,22.9,22.6,21.9,20.8,20.3,20.4,21.2,21.4,20.9,20,19.5,19.2,19.3,19.4,19.5,20,20.1,19.5,18.6,18.4,18.4,19.3,19.8,19.8,19.8,20.1,20.3,19.7,20.2,20.6,21,21.4,21.9) > par2 = '12' > par1 = 'multiplicative' > par2 <- '12' > par1 <- 'multiplicative' > #'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] 1.0000309 1.0024536 1.0017863 1.0037225 1.0001255 0.9987457 1.0057464 [8] 1.0043187 0.9969202 1.0017402 0.9925482 0.9918619 > postscript(file="/var/fisher/rcomp/tmp/1eps81386875576.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/fisher/rcomp/tmp/2z90b1386875576.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/32tic1386875576.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/4kjyc1386875576.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > > #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/fisher/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'t',header=TRUE) > a<-table.element(a,'Observations',header=TRUE) > a<-table.element(a,'Fit',header=TRUE) > a<-table.element(a,'Trend',header=TRUE) > a<-table.element(a,'Seasonal',header=TRUE) > a<-table.element(a,'Random',header=TRUE) > a<-table.row.end(a) > for (i in 1:length(m$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/5e94x1386875576.tab") > > try(system("convert tmp/1eps81386875576.ps tmp/1eps81386875576.png",intern=TRUE)) character(0) > try(system("convert tmp/2z90b1386875576.ps tmp/2z90b1386875576.png",intern=TRUE)) character(0) > try(system("convert tmp/32tic1386875576.ps tmp/32tic1386875576.png",intern=TRUE)) character(0) > try(system("convert tmp/4kjyc1386875576.ps tmp/4kjyc1386875576.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.962 0.955 4.885