R version 2.6.1 (2007-11-26) Copyright (C) 2007 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(102.61,102.18,101.64,102,102.18,101.89,102.09,101.6,101.33,101.44,101.49,100.41,101.38,101.4,102.16,104.46,104.75,104.2,106.05,107.54,108.23,108.99,109.51,111.99,111.08,112.95,115.49,114.67,116.85,119.57,119.41,118.46,122.81,121.76,121.37,118.61,116.08,117.84,117.02,119.78,122.58,120.98,118.92,117.81,119.73,117.16,116.03,115.55,115.36,116.09,117.32,120.45,119.86,118.51,118.92,119.11,120.34,121.23,119.43,119.28,120.64,122.24,123.1,120.72,118.34,118.8,119.29,121.47,122.35,121.53,121.72,121.58,121.55,122.02,123.74,125.8,129.29,128.89,130.04,131.57,131.97,134.43,132.63,130.26,129,131.65,134.21,138.63,138.1,140.51,144.36,145.57,148.7,147.86,143.16,141.96) > par4 = '12' > par3 = '0' > par2 = '0' > par1 = '-0.3' > #'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!) > par1 <- as.numeric(par1) > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > if (par1 == 0) { + x <- log(x) + } else { + x <- (x ^ par1 - 1) / par1 + } > if (par2 > 0) x <- diff(x,lag=1,difference=par2) > if (par3 > 0) x <- diff(x,lag=par4,difference=par3) > postscript(file="/var/www/html/rcomp/tmp/1o8au1197554914.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > r <- spectrum(x,main='Raw Periodogram') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/267pi1197554914.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > cpgram(x,main='Cumulative Periodogram') > dev.off() null device 1 > load(file='/var/www/html/rcomp/createtable') > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Raw Periodogram',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Parameter',header=TRUE) > a<-table.element(a,'Value',header=TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Box-Cox transformation parameter (lambda)',header=TRUE) > a<-table.element(a,par1) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Degree of non-seasonal differencing (d)',header=TRUE) > a<-table.element(a,par2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Degree of seasonal differencing (D)',header=TRUE) > a<-table.element(a,par3) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Seasonal Period (s)',header=TRUE) > a<-table.element(a,par4) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Frequency (Period)',header=TRUE) > a<-table.element(a,'Spectrum',header=TRUE) > a<-table.row.end(a) > for (i in 1:length(r$freq)) { + a<-table.row.start(a) + mylab <- round(r$freq[i],4) + mylab <- paste(mylab,' (',sep='') + mylab <- paste(mylab,round(1/r$freq[i],4),sep='') + mylab <- paste(mylab,')',sep='') + a<-table.element(a,mylab,header=TRUE) + a<-table.element(a,round(r$spec[i],6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/3ep471197554914.tab") > > system("convert tmp/1o8au1197554914.ps tmp/1o8au1197554914.png") > system("convert tmp/267pi1197554914.ps tmp/267pi1197554914.png") > > > proc.time() user system elapsed 1.421 0.542 1.525