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Type 'q()' to quit R. > x <- c(124,118.63,121.86,119.97,125.03,130.09,126.65,121.7,119.24,122.63,116.66,114.12,113.11,112.61,113.4,115.18,121.01,119.44,116.68,117.07,117.41,119.58,120.92,117.09,116.77,119.39,122.49,124.08,118.29,112.94,113.79,114.43,118.7,120.36,118.27,118.34,117.82,117.65,118.18,121.02,124.78,131.16,130.14,131.75,134.73,135.35,140.32,136.35,131.6,128.9,133.89,138.25,146.23,144.76,149.3,156.8,159.08,165.12,163.14,153.43,151.01) > par5 = '12' > par4 = '0' > par3 = '0' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1vn5z1229007924.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/23j6w1229007924.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.00000000 0.93462699 0.84379228 0.73676146 0.63556820 0.55958877 [7] 0.48047084 0.41141643 0.36031195 0.32233682 0.30806587 0.29436227 [13] 0.26428407 0.22181845 0.17147492 0.10897180 0.06437489 0.01833270 [19] -0.02674160 -0.06524782 -0.10814804 -0.13894418 -0.15883929 -0.17246452 [25] -0.18036169 -0.18828002 -0.20448089 -0.21255229 -0.21871626 -0.22205699 [31] -0.21392029 -0.21726150 -0.22221209 -0.23061910 -0.23961837 -0.23775675 [37] -0.23448317 > (mypacf <- c(rpacf$acf)) [1] 0.9346269939 -0.2351133091 -0.1468347052 0.0265692077 0.1420705926 [6] -0.1631716162 0.0089085806 0.1251054647 0.0323068217 0.0696491266 [11] -0.0533572344 -0.1497444729 -0.0641194508 0.0161826755 -0.1565700491 [16] 0.1286894766 -0.0423585751 -0.0799580990 -0.0084966646 -0.0515252700 [21] -0.0400786457 0.0262408362 0.0261771080 -0.0540342168 0.0462983027 [26] -0.0933320340 0.0305942636 0.0001129847 -0.0064990425 0.0372738766 [31] -0.0583368516 -0.0416099608 -0.0549802010 0.0296702049 -0.0222834547 [36] 0.0069779933 > 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/3p14w1229007924.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/4u7d11229007924.tab") > > system("convert tmp/1vn5z1229007924.ps tmp/1vn5z1229007924.png") > system("convert tmp/23j6w1229007924.ps tmp/23j6w1229007924.png") > > > proc.time() user system elapsed 0.544 0.330 0.666