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 = '0' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1kgs21259240418.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2bush1259240418.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.446977445 0.136017809 0.051982373 -0.356131218 [6] 0.016624241 0.152239474 -0.282823888 0.292865685 0.005919160 [11] -0.039170189 0.174271432 -0.175370398 0.017808731 -0.030343017 [16] -0.086691864 0.039824985 0.005955661 0.026528626 0.029694269 [21] 0.127037735 -0.129751886 0.073673616 -0.038762201 -0.153724251 [26] 0.123485008 -0.085141724 -0.017609777 0.120298144 -0.030725220 [31] -0.022385405 0.143409756 -0.205541308 0.113706043 -0.073924669 [36] -0.033194473 0.146096956 > (mypacf <- c(rpacf$acf)) [1] -0.4469774445 -0.0796927480 0.1031322827 -0.3575877436 -0.4195719020 [6] 0.0495550212 -0.2144210714 -0.1950809770 0.0001746452 0.0876251550 [11] 0.0670429507 -0.0857129528 0.1233947595 0.0417977655 -0.0481322181 [16] -0.0460775463 -0.0308226234 0.0194922603 -0.1438698072 0.1731476712 [21] 0.0131756250 -0.0375919073 0.1191130224 -0.0464065660 0.0428802247 [26] -0.0831132399 -0.0204925232 -0.1025874806 -0.0635808088 -0.0603583021 [31] -0.0524881715 -0.0610763368 -0.0314766791 -0.0194013267 -0.0003212816 [36] 0.1669806446 > 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/38t341259240418.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/4ae4d1259240418.tab") > > system("convert tmp/1kgs21259240418.ps tmp/1kgs21259240418.png") > system("convert tmp/2bush1259240418.ps tmp/2bush1259240418.png") > > > proc.time() user system elapsed 0.541 0.327 0.657