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Type 'q()' to quit R. > x <- c(128.6,128.9,129.06,129.23,129.27,129.33,129.35,129.31,129.4,129.49,129.47,129.46,129.45,129.28,129.2,129.25,129.14,129.11,129.02,129.08,128.99,129.11,129.08,129.19,129.23,129.25,129.31,129.33,129.39,129.55,129.43,129.45,129.57,129.76,129.92,130.08,130.41,130.84,131.24,131.49,131.74,132.34,133.5,134.43,136.5,137.41,138.02,138.15,138.24,138.2,138.31,138.65,139.3,139.8,140.52,141.57,141.77,141.66,141.36,141.17) > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '1' > par3 = '1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/17f2a1260542166.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2wnvg1260542166.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.00000000 0.62046891 0.51806611 0.24538003 0.06766504 0.00808690 [7] 0.03899336 0.12329263 0.15216298 0.07938308 -0.03432177 -0.14034889 [13] -0.37782036 -0.32351131 -0.36985215 -0.24424743 -0.14891581 -0.09637493 [19] -0.06101975 -0.07420890 -0.09678886 -0.07543717 -0.09306749 -0.05558733 [25] -0.10687500 -0.06498137 -0.06001527 -0.06728849 -0.10402080 -0.09777397 [31] -0.09542932 -0.10563074 -0.03737166 -0.01813577 0.01985271 0.02042045 [37] 0.06007875 > (mypacf <- c(rpacf$acf)) [1] 0.6204689060 0.2163910293 -0.2401320233 -0.1592763058 0.1083120413 [6] 0.1861817396 0.1171403648 -0.0662521235 -0.2248706369 -0.1531442299 [11] 0.0271753780 -0.2973743543 0.0717191356 -0.0377825141 0.0008440075 [16] 0.0226070291 -0.0522080542 -0.0030030674 0.0818478360 0.0362001306 [21] 0.0079579544 -0.1132199067 -0.0409345544 -0.3063977073 0.0820817114 [26] -0.0043438302 -0.0811199908 -0.1894479394 -0.0558748019 0.0862535522 [31] 0.0185813372 0.0972744734 0.0133124458 -0.0540540218 0.0736397765 [36] -0.0934018199 > 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/35sp91260542166.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/4ue6w1260542166.tab") > > system("convert tmp/17f2a1260542166.ps tmp/17f2a1260542166.png") > system("convert tmp/2wnvg1260542166.ps tmp/2wnvg1260542166.png") > > > proc.time() user system elapsed 0.571 0.335 1.341