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Type 'q()' to quit R. > x <- c(4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,2.2204460492503E-15 + ,0.026289258219902 + ,-0.026289258219895 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,0.026289258219902 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,0.026289258219902 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,0.026289258219902 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,2.2204460492503E-15 + ,0.026289258219902 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,0.026289258219902 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,0.026289258219902 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,0.026289258219902 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,2.2204460492503E-15 + ,0.026289258219902 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,0.026289258219902 + ,4.4408920985006E-15 + ,4.4408920985006E-15 + ,-0.026289258219895 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,2.2204460492503E-15 + ,-0.011585936986398 + ,-2.4868995751604E-14 + ,0.025882106130675 + ,-3.4194869158455E-14 + ,-3.4194869158455E-14 + ,-3.4194869158455E-14 + ,-0.025882106130734 + ,-2.4868995751604E-14 + ,-2.4868995751604E-14 + ,0.025882106130675 + ,-3.4194869158455E-14 + ,-0.025882106130734 + ,-2.4868995751604E-14 + ,-2.4868995751604E-14 + ,0.025882106130675 + ,-3.4194869158455E-14 + ,-3.4194869158455E-14 + ,-3.4194869158455E-14 + ,-3.4194869158455E-14 + ,-0.025882106130734 + ,-2.4868995751604E-14 + ,0.025882106130675 + ,-3.4194869158455E-14 + ,-3.4194869158455E-14 + ,-0.025882106130734 + ,-0.011353353959925 + ,-4.4408920985006E-14 + ,-4.4408920985006E-14 + ,-4.4408920985006E-14 + ,0.025455919993356 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,-0.025455919993393 + ,0.025455919993356 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,-0.025455919993393 + ,0.025455919993356 + ,-0.025455919993393 + ,0.025455919993356 + ,-0.025455919993393 + ,-4.4408920985006E-14 + ,0.025455919993356 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,-0.025455919993393 + ,0.025455919993356 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,-0.025455919993393 + ,-4.4408920985006E-14 + ,-4.4408920985006E-14 + ,-4.4408920985006E-14 + ,0.025455919993356 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,7.105427357601E-15 + ,-0.025455919993393 + ,-4.4408920985006E-14 + ,-4.4408920985006E-14 + ,0.025455919993356 + ,7.105427357601E-15 + ,-0.025455919993393 + ,0.025455919993356 + ,7.105427357601E-15 + ,-0.025455919993393 + ,-4.4408920985006E-14 + ,-4.4408920985006E-14 + ,0.025455919993356 + ,7.105427357601E-15 + ,-0.0090171936501928) > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '0' > par2 = '1' > par1 = 'Default' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/rcomp/tmp/13p3q1290437411.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/23p3q1290437411.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.194302982 -0.163841475 -0.123138455 -0.061212245 [6] -0.034549873 0.040705678 0.015544529 0.150714233 -0.033788909 [11] -0.107698952 -0.051672381 0.007321805 0.122116227 -0.006037557 [16] -0.046162866 -0.059258055 0.091723526 0.002165442 0.039066566 [21] -0.113249429 0.048763530 -0.021694777 -0.037140828 > (mypacf <- c(rpacf$acf)) [1] -0.194302982 -0.209504691 -0.219943279 -0.207143338 -0.213851266 [6] -0.155754011 -0.157588305 0.036790747 -0.025023913 -0.097790626 [11] -0.099852033 -0.088187626 0.051479844 -0.012593641 -0.047944508 [16] -0.113493676 0.042288294 0.043386995 0.100565316 -0.062240333 [21] 0.009123979 -0.012069418 -0.034351105 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/rcomp/tmp/3zhjh1290437411.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/rcomp/tmp/49qik1290437411.tab") > > try(system("convert tmp/13p3q1290437411.ps tmp/13p3q1290437411.png",intern=TRUE)) character(0) > try(system("convert tmp/23p3q1290437411.ps tmp/23p3q1290437411.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.800 0.450 1.228