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Type 'q()' to quit R. > x <- c(147768,137507,136919,136151,133001,125554,119647,114158,116193,152803,161761,160942,149470,139208,134588,130322,126611,122401,117352,112135,112879,148729,157230,157221,146681,136524,132111,125326,122716,116615,113719,110737,112093,143565,149946,149147,134339,122683,115614,116566,111272,104609,101802,94542,93051,124129,130374,123946,114971,105531,104919,104782,101281,94545,93248,84031,87486,115867,120327,117008,108811) > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/freestat/rcomp/tmp/1izfs1229619289.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/2ge921229619289.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.077211551 0.091825183 -0.138909660 0.045002100 [6] -0.218826294 0.013414125 0.062307177 -0.036507130 0.100853841 [11] -0.035118141 0.303079442 -0.272630625 -0.016473450 0.002061252 [16] -0.057194428 -0.269854026 0.015562127 0.006629428 -0.069554684 [21] 0.109445878 -0.008973849 0.154464645 -0.116270043 0.012334254 [26] -0.043935990 0.002161295 -0.068215279 0.058924353 0.039578252 [31] -0.012336875 0.091383788 0.062084020 0.060389968 -0.108765559 [36] -0.054217027 -0.056206003 > (mypacf <- c(rpacf$acf)) [1] -0.0772115509 0.0863785159 -0.1274680130 0.0203840103 -0.1984835918 [6] -0.0343896895 0.1038823593 -0.0851070319 0.1016908328 -0.0451021556 [11] 0.2913810167 -0.2247401344 -0.1083904786 0.1727813046 -0.1924906326 [16] -0.2030592028 -0.0662994137 -0.0576596677 -0.0368720451 -0.0164837457 [21] -0.0381914492 0.1091646663 0.0434413788 -0.0672987310 -0.0227690332 [26] 0.0986312616 0.0726200876 -0.1452288411 0.0001736972 0.0921669910 [31] -0.0662693472 0.0561477119 -0.0269501909 -0.0739290406 -0.0325729749 [36] -0.0855907646 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/309c91229619289.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/freestat/rcomp/tmp/4i6tl1229619289.tab") > system("convert tmp/1izfs1229619289.ps tmp/1izfs1229619289.png") > system("convert tmp/2ge921229619289.ps tmp/2ge921229619289.png") > > > proc.time() user system elapsed 0.773 0.419 0.873