R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(345,334,345,333,336,324,320,330,313,301,288,294,302,294,293,290,283,286,293,334,329,411,416,418,408,402,401,400,389,371,364,350,332,323,316,312,315,314,313,314,317,308,312,306,304,297,284,278,273,265,259,252,245,235,232,229,219,218,215,211)
> par5 = '12'
> par4 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1vvvd1228640333.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2pzik1228640333.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.091120591  0.393207754  0.056834806  0.063637024
 [6]  0.025464873 -0.057457460 -0.012313651 -0.130063417 -0.054156089
[11] -0.123324513 -0.276203008 -0.119414356 -0.220795657  0.004454105
[16]  0.063558874 -0.065401642  0.113007436 -0.052131344  0.180492295
[21] -0.059920292  0.112395770 -0.021326923  0.066507980  0.004816245
[26] -0.048971848 -0.032121223 -0.054400412 -0.041282420 -0.041744128
[31] -0.065701146 -0.048217944 -0.073854218 -0.018372130 -0.060158395
[36] -0.061965222  0.016785133
> (mypacf <- c(rpacf$acf))
 [1]  0.0911205909  0.3881273987 -0.0005396773 -0.1093678077  0.0062541077
 [6] -0.0527413824 -0.0167923653 -0.0946204437 -0.0322935169 -0.0385156520
[11] -0.2773291404 -0.0482024368 -0.0042488914  0.0921144000  0.1942113013
[16] -0.1574322952 -0.0082972173 -0.0141591109  0.1119099934 -0.0650260921
[21] -0.0364970493 -0.0596003751  0.0152462654 -0.0820306887 -0.0328975508
[26]  0.0471402371  0.0219401145 -0.0161395060 -0.0883248555 -0.0013749892
[31]  0.0070936373 -0.0439035310 -0.0356521688 -0.0639240872 -0.0486569690
[36]  0.0147147305
> 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/3hfft1228640333.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/4et0g1228640333.tab") 
> 
> system("convert tmp/1vvvd1228640333.ps tmp/1vvvd1228640333.png")
> system("convert tmp/2pzik1228640333.ps tmp/2pzik1228640333.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.476   0.564   1.572