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(1091075,1514814,1748997,2424406,2747942,2377332,5210706,3882821,2197469,2271155,1618917,1391579,1143249,1445785,1870242,2597788,2436231,2684184,4705109,4331347,2369192,2283947,1749607,1598601,1221234,1497778,1823567,2489908,2532837,2456065,4627018,4276894,2314950,2238987,1652753,1561968,1115878,1596714,1910242,2286450,2772441,2394538,4715128,4402420,2325392,2306683,1725282,1541370,1168142,1457835,1816380,2446552,2575774,2537852,4728097,4372685,2302672,2346402,1689915,1576183)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/14c361228848429.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/29cky1228848429.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.753732015  0.326045823 -0.008365844 -0.146744935
 [6]  0.150078466 -0.032845732 -0.096447031  0.073587622  0.041012375
[11] -0.134290549  0.169312189 -0.174256164  0.123490810 -0.032682038
[16] -0.027895967  0.035711994 -0.060907188  0.112139651 -0.091983865
[21] -0.017806492  0.168115542 -0.285465749  0.319426392 -0.214081225
[26]  0.048870877  0.059087083 -0.085247450  0.036347874  0.047572075
[31] -0.122353789  0.101746023  0.019844250 -0.155338942  0.239884343
[36] -0.229076661  0.139719753
> (mypacf <- c(rpacf$acf))
 [1] -0.75373202 -0.56048351 -0.15978163 -0.11691739 -0.11652332  0.10587759
 [7]  0.02264440 -0.27228950 -0.11562133 -0.08293145 -0.01971739 -0.13801560
[13] -0.10684134 -0.07169530 -0.08744568 -0.08239008 -0.23003893 -0.09319232
[19]  0.04850839 -0.22722539  0.07426097 -0.12073596 -0.08733634  0.02002365
[25]  0.08267371  0.02099090 -0.07309927 -0.07027616  0.00936599 -0.07744171
[31] -0.07592052  0.04498778 -0.02324870  0.05884038  0.08460170  0.07659225
> 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/3naxe1228848429.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/42ey31228848429.tab") 
> system("convert tmp/14c361228848429.ps tmp/14c361228848429.png")
> system("convert tmp/29cky1228848429.ps tmp/29cky1228848429.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.553   0.312   0.644