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(57.7,63.6,78,77.4,74.1,85.9,82,78.4,68.1,70.9,85.2,149.6,57.9,63.7,85,66.1,80.2,83.4,85.7,81.8,69.4,76.4,90.3,157.3,65.3,68.4,72.7,86.6,82.6,84.8,93.4,82.2,75.2,83.9,85.4,166.3,70.4,73.9,82.4,92.3,82.7,95.8,105.8,84.2,82.7,88.4,90.2,176.6,69.5,77.3,98.6,86.4,90.8,101.5,112.2,93.6,93.8,90.8,98.1,187.6,75,83.7,99.7,104.9,98.9,117.3,115.7,102.2,101.9,96.6,110,203.7,82.3,93.3,121.9,100.9,107.7,130,123.2,116.1,105.3,107.7,123.9,205.2,90.3,106.9,122.4,111.3,122.6,124.8,139.5,118.8,111,121.2,120.6,219.1,101.3,105,113.4,133.6,123.9,136.2,151.7,121.9,120.2,132.2,125.2,233.8) > 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] 0.7426427 0.8095335 0.9570614 0.9324792 0.9386357 1.0306219 1.0710382 [8] 0.9440127 0.8749148 0.9083097 0.9905819 1.8001682 > postscript(file="/var/www/html/rcomp/tmp/1nf6m1293375446.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/www/html/rcomp/tmp/2yon61293375446.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/3yon61293375446.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4rxns1293375446.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'t',header=TRUE) > a<-table.element(a,'Observations',header=TRUE) > a<-table.element(a,'Fit',header=TRUE) > a<-table.element(a,'Trend',header=TRUE) > a<-table.element(a,'Seasonal',header=TRUE) > a<-table.element(a,'Random',header=TRUE) > a<-table.row.end(a) > for (i in 1:length(m$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/557ki1293375446.tab") > > try(system("convert tmp/1nf6m1293375446.ps tmp/1nf6m1293375446.png",intern=TRUE)) character(0) > try(system("convert tmp/2yon61293375446.ps tmp/2yon61293375446.png",intern=TRUE)) character(0) > try(system("convert tmp/3yon61293375446.ps tmp/3yon61293375446.png",intern=TRUE)) character(0) > try(system("convert tmp/4rxns1293375446.ps tmp/4rxns1293375446.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.185 0.670 2.737