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(13,14,8,10,16,26,32,27,18,32,36,24,22,23,22,18,25,21,21,14,8,11,14,23,18,17,19,20,22,19,13,26,13,14,22,24,21,22,26,21,23,24,27,41,31,27,35,26,28,36,39,21,17,22,17,19,15,34,10,15,22,18,15,20,15,22,19,16,30,27,29,23,20,16,21,21,25,16,18,15,18,14,10,15,8,15,6,11,8,7,13,10,23,16,15,25,22,20,16)
> par7 = '0.95'
> par6 = 'White Noise'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1huk41272892044.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2rl1p1272892044.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.54173285  0.41888438  0.39795532  0.32404731  0.23716419
 [7]  0.17179424  0.19022816  0.06120181 -0.04850548 -0.10673042 -0.04327143
[13] -0.07230482 -0.12612397 -0.14431382 -0.12965267 -0.18790106 -0.09855827
[19] -0.06743645  0.02772472 -0.03228013 -0.03446259  0.01384281 -0.08732251
[25] -0.04958906  0.03976936  0.10879469  0.03528916  0.02949805 -0.01011119
[31]  0.04793971  0.02474034  0.07581230  0.07539411  0.03785393 -0.03063036
[37] -0.07084723 -0.04010835 -0.11109544 -0.09810478 -0.13255016 -0.21903861
[43] -0.22148288 -0.20909594 -0.20089401 -0.21246834 -0.23545083 -0.17582909
[49] -0.23112140
> (mypacf <- c(rpacf$acf))
 [1]  0.541732854  0.177502295  0.168286403  0.036858331 -0.028417695
 [6] -0.039018307  0.072424739 -0.134489174 -0.138835023 -0.111345446
[11]  0.101962379  0.009348673 -0.042786865 -0.075044536  0.010133021
[16] -0.075949780  0.141350207 -0.011120016  0.143533828 -0.101562516
[21]  0.009397067 -0.015672546 -0.153869665 -0.028138788  0.134511908
[26]  0.106860374 -0.004211147 -0.034831078 -0.117544801  0.083383517
[31] -0.005067486  0.087164748 -0.041281342 -0.001034581 -0.048352099
[36] -0.089850266 -0.065834448 -0.124960467 -0.010126894  0.041994618
[41] -0.124930272  0.059182412 -0.057906917 -0.032981801 -0.089499896
[46] -0.053524255  0.016935483 -0.030449293
> 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/3vmzc1272892044.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/4y4yi1272892044.tab") 
> 
> try(system("convert tmp/1huk41272892044.ps tmp/1huk41272892044.png",intern=TRUE))
character(0)
> try(system("convert tmp/2rl1p1272892044.ps tmp/2rl1p1272892044.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.569   0.314   0.716