R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(1202454.6,1201423.4,1505916,1513377.6,1977605.3,1873829.6,1424049.1,1322740,1584825.5,1680460.3,1648573.7,3095468.7,1307982.9,1367588.9,1572718.3,1611602.9,1641196.4,1845262.4,1464237.6,1402385.7,2077099.8,1691129.6,1729012.7,3347792.1,1365087.7,1545460,1844355.1,1775549.8,1721779.2,2128726.1,1664319.9,1769471.4,1904578.4,1872042.3,1802181,3222199.4,1491414.2,1658519.2,2079206.9,1748767.4,2084447.4,2067181.6,1718122.8,1782337.1,1958118.4,2028681.3,2076128.1,3383873,1870369,1654852.9,2074338.3,1888653.7,1991137.8,2168237.9,1867424.1,1842359.6,1927476.3,2065555.4,2455608.5,3336170.9)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1xx9b1228229737.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2m3mm1228229737.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.126245150  0.075684368  0.020951402 -0.212468632
 [6] -0.058239599 -0.047364957  0.084100940 -0.023038339 -0.021697592
[11] -0.012821309  0.086813924 -0.220759723 -0.104744036 -0.071097395
[16] -0.091714130  0.007550636  0.114818555  0.197388033 -0.085678150
[21]  0.195971804 -0.078804599 -0.031717102 -0.057984067 -0.081122674
[26]  0.128638262 -0.084742906  0.101902226  0.097701591 -0.082156757
[31] -0.184407836 -0.016154149 -0.132316909  0.039709233  0.036510285
[36]  0.068330823  0.008047494
> (mypacf <- c(rpacf$acf))
 [1] -0.12624515  0.06071418  0.03834110 -0.21454105 -0.11977855 -0.03974780
 [7]  0.10391597 -0.03864957 -0.09182471 -0.05704617  0.13792347 -0.20452349
[13] -0.23803603 -0.14089295 -0.03203998 -0.08083891 -0.01515790  0.13090672
[19] -0.06651333  0.15072271 -0.03251282 -0.02601612 -0.07052052 -0.09276069
[25]  0.04676719 -0.08627887 -0.03539861  0.05275728 -0.02583891 -0.18382175
[31] -0.08696329 -0.02632236  0.09304970 -0.04849134 -0.05496843 -0.11669732
> 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/3u24j1228229737.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/4lrg21228229737.tab") 
> 
> system("convert tmp/1xx9b1228229737.ps tmp/1xx9b1228229737.png")
> system("convert tmp/2m3mm1228229737.ps tmp/2m3mm1228229737.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.534   0.302   0.654