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(1915,1843,1761,2858,3968,5061,4661,4269,3857,3568,3274,2987,1683,1381,1071,2772,4485,6181,5479,4782,4067,3489,2903,2330,1736,1483,1242,2334,3423,4523,3986,3462,2908,2575,2237,1904,1610,1251,941,2450,3946,5409,4741,4069,3539,3189,2960,2704,1697,1598,1456,2316,3083,4158,3469,2892,2578,2233,1947,2049)
> par7 = '0.95'
> par6 = 'MA'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/130z71259869498.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2c5fu1259869498.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.378944107 -0.016727777 -0.217138062 -0.157399703
 [6] -0.075374528 -0.024204663 -0.007607533  0.061019260  0.229631196
[11]  0.037821496 -0.294610934 -0.481751857 -0.305565619 -0.053357480
[16]  0.133905294  0.050800078 -0.048909435 -0.097410311  0.025798335
[21]  0.017885034 -0.063573892 -0.022995765  0.199322425  0.244415386
[26]  0.239198117  0.044988867 -0.156906272 -0.100630399  0.042906977
[31]  0.085789844 -0.008190398  0.021345729  0.041713555  0.038035060
[36] -0.054232753 -0.219679011
> (mypacf <- c(rpacf$acf))
 [1]  0.378944107 -0.187209432 -0.167803463 -0.005994427 -0.043036895
 [6] -0.039920601 -0.022640388  0.062773157  0.209492959 -0.175269549
[11] -0.299334815 -0.261466756 -0.075548826 -0.057968189 -0.007792343
[16] -0.157393709 -0.141022313 -0.208922932  0.036059392  0.023268257
[21] -0.047201088 -0.073275809  0.056272750 -0.133352788  0.101763739
[26] -0.017920415 -0.130598535 -0.109553091 -0.068605387 -0.055151194
[31] -0.067478221 -0.038548757  0.004831953 -0.079242166 -0.028806013
[36] -0.103813297
> 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/3cfov1259869498.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/4pheo1259869498.tab") 
> 
> system("convert tmp/130z71259869498.ps tmp/130z71259869498.png")
> system("convert tmp/2c5fu1259869498.ps tmp/2c5fu1259869498.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.577   0.331   1.973