R version 2.15.2 (2012-10-26) -- "Trick or Treat" Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 3-900051-07-0 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(106.68,109.73,108.06,111.33,105.66,103.65,100.34,100.56,102.67,101.5,102.35,104.98,106.31,103.73,106.62,108.54,105.12,105.29,104.62,104.34,108.23,107.6,106.87,107.96,108.34,109.04,106.95,105.59,108.08,108.48,106.84,105.6,106.9,106.84,106.81,106.98,107.53,107.37,106.98,108.94,106.38,109.02,106.53,105.02,109.7,108.39,110.18,109.54,109.1,110.85,112.23,110.58,110.77,108.08,108.05,108.87,109.61,111.27,107.61,110.98,106.63,106.83,108.77,106.12,106.8,106.34,105.16,107.97,106.76,108.78,105.58,109.22) > par2 = '12' > par1 = 'additive' > 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] 0.528562500 0.408645833 1.058812500 0.608062500 -0.003520833 [6] -0.053770833 -1.797187500 -2.170604167 0.391645833 0.127145833 [11] -0.194937500 1.097145833 > postscript(file="/var/fisher/rcomp/tmp/1k8ev1354886731.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/2v1371354886731.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/3p1jf1354886731.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/4n0fh1354886731.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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,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/fisher/rcomp/tmp/5ah3d1354886731.tab") > > try(system("convert tmp/1k8ev1354886731.ps tmp/1k8ev1354886731.png",intern=TRUE)) character(0) > try(system("convert tmp/2v1371354886731.ps tmp/2v1371354886731.png",intern=TRUE)) character(0) > try(system("convert tmp/3p1jf1354886731.ps tmp/3p1jf1354886731.png",intern=TRUE)) character(0) > try(system("convert tmp/4n0fh1354886731.ps tmp/4n0fh1354886731.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.431 0.646 3.067