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(1.4,1,-0.8,-2.9,-0.7,-0.7,1.5,3,3.2,3.1,3.9,1,1.3,0.8,1.2,2.9,3.9,4.5,4.5,3.3,2,1.5,1,2.1,3,4,5.1,4.5,4.2,3.3,2.7,1.8,1.4,0.5,-0.4,0.8,0.7,1.9,2,1.1,0.9,0.4,0.7,2.1,2.8,3.9,3.5,2,2,1.5,2.5,3.1,2.7,2.8,2.5,3,3.2,2.8,2.4,2,1.8,1.1,-1.5,-3.7) > par7 = '0.95' > par6 = 'MA' > par5 = '12' > par4 = '2' > par3 = '2' > par2 = '1' > par1 = '36' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1ssb11259240236.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/29drk1259240236.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.414241137 0.163807027 0.013518785 -0.390364155 [6] 0.039831397 0.056719668 -0.163331506 0.220769059 0.125020647 [11] -0.171954214 0.264696152 -0.244204428 0.020950059 0.029662291 [16] -0.051267545 -0.036824066 0.020887996 -0.001915023 -0.076116835 [21] 0.317540803 -0.220175534 0.179807364 -0.130370606 -0.179685602 [26] 0.103513104 -0.129366616 0.091519867 0.114129691 0.012905616 [31] 0.011465881 0.080724163 -0.264446761 0.095784035 -0.112881319 [36] 0.075042780 0.052352570 > (mypacf <- c(rpacf$acf)) [1] -0.414241137 -0.009402043 0.094307297 -0.427030688 -0.403811583 [6] 0.018909235 -0.140274594 -0.241012788 0.125897724 -0.034237993 [11] 0.007016783 -0.054393268 0.105507347 0.047762801 0.102194711 [16] -0.045691932 -0.188818153 0.036509065 -0.131625830 0.192361256 [21] 0.031612337 0.026274054 -0.102087204 -0.199586575 0.055170137 [26] -0.131538377 -0.014253177 -0.049321443 -0.062710209 -0.025726787 [31] -0.006704264 -0.017185476 -0.110037220 -0.047224518 0.103649533 [36] -0.088766829 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #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,'Autocorrelation Function',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Time lag k',header=TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE) > a<-table.element(a,'T-STAT',header=TRUE) > a<-table.element(a,'P-value',header=TRUE) > a<-table.row.end(a) > for (i in 2:(par1+1)) { + a<-table.row.start(a) + a<-table.element(a,i-1,header=TRUE) + a<-table.element(a,round(myacf[i],6)) + mytstat <- myacf[i]*sqrtn + a<-table.element(a,round(mytstat,4)) + a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/3q08f1259240236.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Partial Autocorrelation Function',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Time lag k',header=TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE) > a<-table.element(a,'T-STAT',header=TRUE) > a<-table.element(a,'P-value',header=TRUE) > a<-table.row.end(a) > for (i in 1:par1) { + a<-table.row.start(a) + a<-table.element(a,i,header=TRUE) + a<-table.element(a,round(mypacf[i],6)) + mytstat <- mypacf[i]*sqrtn + a<-table.element(a,round(mytstat,4)) + a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/4rcq51259240236.tab") > > system("convert tmp/1ssb11259240236.ps tmp/1ssb11259240236.png") > system("convert tmp/29drk1259240236.ps tmp/29drk1259240236.png") > > > proc.time() user system elapsed 0.553 0.318 1.301