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(46.83,45.93,45.93,45.93,45.9,45.91,45.85,45.58,45.56,45.5,45.5,45.5,45.51,45.49,45.4,45.38,45.38,45.38,45.49,45.41,44.99,44.98,44.93,44.93,44.91,44.86,44.76,44.89,44.89,45,45.01,45.11,45.05,44.67,44.48,44.48,44.48,44.58,44.79,44.79,44.41,44.41,44.44,44.43,44.36,44.39,44.39,44.41,44.32,44.43,44.82,44.97,44.91,44.79,44.76,44.8,44.65,44.49,44.56,44.4,44.45,44.46,44.39,44.5,44.44,44.41,44.4,44.42,44.49,44.46,44.49,44.5) > 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] -0.10125694 -0.04950694 0.03707639 0.12865972 0.04574306 0.05449306 [7] 0.11949306 0.10757639 -0.01134028 -0.10259028 -0.11250694 -0.11584028 > postscript(file="/var/fisher/rcomp/tmp/113gu1354880914.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/2svrx1354880914.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/30sbh1354880914.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/4ewh31354880914.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/5v7ur1354880914.tab") > > try(system("convert tmp/113gu1354880914.ps tmp/113gu1354880914.png",intern=TRUE)) character(0) > try(system("convert tmp/2svrx1354880914.ps tmp/2svrx1354880914.png",intern=TRUE)) character(0) > try(system("convert tmp/30sbh1354880914.ps tmp/30sbh1354880914.png",intern=TRUE)) character(0) > try(system("convert tmp/4ewh31354880914.ps tmp/4ewh31354880914.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.333 0.618 2.942