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Type 'q()' to quit R. > x <- c(95.9,95.3,100.4,97.3,82.3,97.0,93.5,90.9,107.8,110.9,98.1,106.5,93.4,95.7,109.0,97.6,92.7,107.5,91.7,95.7,111.4,106.0,104.8,108.7,97.3,97.1,106.1,98.6,98.5,105.5,86.2,98.3,111.3,105.0,105.7,103.5,96.9,98.1,111.7,94.7,104.2,109.7,91.3,102.6,114.2,115.8,113.5,107.1,104.5,101.9,116.0,102.0,108.1,112.9,104.5,109.1,113.4,123.9,117.7,108.3) > par5 = '12' > par4 = '1' > par3 = '0' > par2 = '2.0' > par1 = '60' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/17en91229684691.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2kn791229684691.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.108493778 0.093141251 0.470762944 0.076620979 [6] 0.148100267 0.262836104 -0.015124295 0.131046917 0.213602283 [11] -0.096300163 -0.069199168 -0.008108416 -0.162346852 0.041395175 [16] -0.208906919 -0.237529929 -0.020716720 -0.137847601 -0.309011110 [21] -0.132518123 -0.082693910 -0.200150795 -0.000156876 -0.076462440 [26] -0.214959997 0.082581346 -0.073447738 -0.102114211 0.084770855 [31] -0.026115384 0.015703695 0.044829889 -0.133980551 -0.010538506 [36] 0.088548284 -0.118481123 0.052105958 0.121816665 -0.095040849 [41] 0.057696569 0.068433294 -0.116957236 0.013794413 0.020632792 [46] -0.054641784 -0.004430977 0.010868214 > (mypacf <- c(rpacf$acf)) [1] 0.108493778 0.082339562 0.461072860 -0.007495754 0.108252908 [6] 0.037058264 -0.092459959 0.029736313 0.085386348 -0.119850010 [11] -0.202435259 -0.163396163 -0.112167148 0.166447472 -0.201656749 [16] -0.080131901 -0.068316445 0.094859040 -0.147907437 -0.028956005 [21] 0.094296722 -0.006598744 0.123384875 0.044859468 -0.060870398 [26] 0.007965644 -0.070653756 0.033077284 0.059555933 -0.091154141 [31] -0.041740009 -0.154034353 -0.131681598 -0.078391409 -0.017356560 [36] -0.041175520 0.056984298 0.095580067 0.039378810 -0.008375475 [41] 0.100311456 0.004093571 -0.036437192 -0.089020838 -0.014246329 [46] -0.066410757 -0.068851488 > 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/3z12b1229684691.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/45f1n1229684691.tab") > > system("convert tmp/17en91229684691.ps tmp/17en91229684691.png") > system("convert tmp/2kn791229684691.ps tmp/2kn791229684691.png") > > > proc.time() user system elapsed 1.544 0.551 1.641