R version 2.9.0 (2009-04-17) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 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(0.88,1.03,0.69,0.71,1.11,1.05,1.03,0.65,0.59,0.77,0.9,1.26,0.96,0.83,0.87,0.79,1.12,0.88,0.64,0.64,0.58,0.5,0.99,1.07,0.89,0.89,0.83,0.86,0.9,1.12,0.88,0.88,0.89,0.82,0.88,0.81,0.88,0.76,1.13,0.85,1.45,1.55,0.71,0.81,0.83,0.73,0.9,0.94,1.78,0.88,1.04,0.83,1.41,0.96,1.3,0.83,1.4,0.91,0.87,0.97,1.19,1.23,1.33,1.17,1.09,0.63,0.89,0.63,1.51,0.97,0.84,0.92,0.95,0.73,1.02,0.79,1.27,0.95,0.75,0.52,0.95,0.82,0.76,1.24,0.94,1.04,1.81,0.95,1.39,0.86,1.15,1.51,0.6,0.72,1.1,1.62,1.84,1.73,1.36,1.07,1,1.49,0.9,1.43,1.54,0.81,1.61,1.3,1.4,1.03,0.79,1.11,1.15,1.03,1.59,1.11,1.33,0.93,1.07,1.14,1.12,0.86,0.82,1.02,1.07,1.31,0.98,0.89,0.8,0.8,0.78,0.97) > 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] 1.1516634 0.9619345 1.0681251 0.9190352 1.1709075 1.0600034 0.9605893 [8] 0.8599455 0.9953316 0.7851294 0.9672299 1.1001052 > postscript(file="/var/www/html/rcomp/tmp/1qswp1247917404.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/rcomp/tmp/20y9i1247917404.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/3zzh11247917404.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4bz7n1247917404.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'t',header=TRUE) > a<-table.element(a,'Observations',header=TRUE) > a<-table.element(a,'Fit',header=TRUE) > a<-table.element(a,'Trend',header=TRUE) > a<-table.element(a,'Seasonal',header=TRUE) > a<-table.element(a,'Random',header=TRUE) > a<-table.row.end(a) > for (i in 1:length(m$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/rcomp/tmp/5q13w1247917404.tab") > > system("convert tmp/1qswp1247917404.ps tmp/1qswp1247917404.png") > system("convert tmp/20y9i1247917404.ps tmp/20y9i1247917404.png") > system("convert tmp/3zzh11247917404.ps tmp/3zzh11247917404.png") > system("convert tmp/4bz7n1247917404.ps tmp/4bz7n1247917404.png") > > > proc.time() user system elapsed 1.324 0.655 1.553