R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(464,675,703,887,1139,1077,1318,1260,1120,963,996,960,530,883,894,1045,1199,1287,1565,1577,1076,918,1008,1063,544,635,804,980,1018,1064,1404,1286,1104,999,996,1015,615,722,832,977,1270,1437,1520,1708,1151,934,1159,1209,699,830,996,1124,1458,1270,1753,2258,1208,1241,1265,1828,809,997,1164,1205,1538,1513,1378,2083,1357,1536,1526,1376)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1guls1242321754.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2w9rw1242321754.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.560217546  0.347071209  0.227413105  0.073900441
 [6] -0.147590565 -0.306140442 -0.219918756  0.024048174  0.118404508
[11]  0.224745639  0.389456346  0.670245097  0.425297544  0.216397031
[16]  0.120718396 -0.038440125 -0.219873587 -0.337497590 -0.292311315
[21] -0.106289207 -0.012029368  0.073649965  0.211836519  0.419324272
[26]  0.276704252  0.109519849  0.025525246 -0.088481677 -0.209950986
[31] -0.337063716 -0.306636662 -0.143668571 -0.084177549 -0.021429147
[36]  0.084482466  0.254720043  0.166360646  0.010500857 -0.046748402
[41] -0.126681101 -0.210903601 -0.277877840 -0.280946181 -0.134208625
[46] -0.093386138 -0.046087072  0.002367700  0.143599579
> (mypacf <- c(rpacf$acf))
 [1]  0.560217546  0.048425570  0.022298701 -0.105609716 -0.242903020
 [6] -0.200815157  0.123858318  0.370476689  0.169556917  0.103506829
[11]  0.090707395  0.435849762 -0.252971932 -0.159938837 -0.037820106
[16] -0.109137926 -0.040448654  0.061837381  0.004709292 -0.115062491
[21] -0.020570461 -0.050804190 -0.054840140  0.060087751 -0.003923368
[26] -0.026922272 -0.037174488  0.046746057  0.061183160 -0.080113301
[31]  0.005225691  0.024595413 -0.089006138 -0.040450380  0.004947013
[36]  0.014016481 -0.074858377 -0.054292295 -0.015721402 -0.050130584
[41]  0.007686300  0.134500541 -0.039536253 -0.045036332 -0.021266664
[46]  0.006796588 -0.137141844  0.075353981
> 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/3ikwi1242321754.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/4m0r31242321754.tab") 
> 
> system("convert tmp/1guls1242321754.ps tmp/1guls1242321754.png")
> system("convert tmp/2w9rw1242321754.ps tmp/2w9rw1242321754.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.569   0.310   0.736