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(16,17,23,24,27,31,40,47,43,60,64,65,65,55,57,57,57,65,69,70,71,71,73,68,65,57,41,21,21,17,9,11,6,-2,0,5,3,7,4,8,9,14,12,12,7,15,14,19,39,12,11,17,16,25,24,28,25,31,24,24)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '1'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1rl9g1293620572.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2rl9g1293620572.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.061300839  0.198398369  0.420397631  0.003998418
 [6]  0.085896636  0.182414738  0.023024741  0.022223463  0.035523894
[11] -0.147105240 -0.089968291 -0.247109787 -0.045263756 -0.053791365
[16] -0.130796471 -0.044225442  0.038889558 -0.223191237 -0.051024494
[21]  0.007208945 -0.192159030 -0.009730609  0.036917961 -0.171124786
[26] -0.037932060 -0.080996830 -0.126846779  0.112520534 -0.108675481
[31]  0.009124729  0.062231956 -0.074950624  0.026351325 -0.034146267
[36] -0.035396320  0.075575109  0.001156243  0.004879726  0.001219242
[41] -0.005670570 -0.008933170 -0.014832901 -0.003822609  0.005758080
[46]  0.013788877  0.008893106
> (mypacf <- c(rpacf$acf))
 [1]  0.061300839  0.195374754  0.416018767 -0.053965460 -0.089141902
 [6]  0.022996515  0.058543457 -0.026370382 -0.078168930 -0.203840849
[11] -0.098572297 -0.242718108  0.131345081  0.148316002  0.075861860
[16] -0.100718464  0.098012479 -0.150282370 -0.037249900 -0.035740048
[21] -0.066758737 -0.137832902  0.032118502 -0.113392313  0.046139777
[26] -0.109368822  0.072510092  0.213746105  0.008800252 -0.138445469
[31] -0.061557010 -0.047409947  0.009066151 -0.174617780  0.011031382
[36] -0.034349213  0.012667875  0.046675153  0.016804836  0.062634825
[41]  0.014518555 -0.065617230 -0.027478118 -0.103722378 -0.105870228
[46] -0.001475563
> 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/3ump41293620572.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/4g5os1293620572.tab") 
> 
> try(system("convert tmp/1rl9g1293620572.ps tmp/1rl9g1293620572.png",intern=TRUE))
character(0)
> try(system("convert tmp/2rl9g1293620572.ps tmp/2rl9g1293620572.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.575   0.312  27.110