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(9.2,9.1,9.1,9.1,9.1,9.2,9.3,9.3,9.3,9.3,9.3,9.4,9.4,9.4,9.5,9.5,9.4,9.4,9.3,9.4,9.4,9.2,9.1,9.1,9.1,9.1,9,8.9,8.8,8.7,8.5,8.3,8.1,7.8,7.6,7.5,7.4,7.3,7.1,6.9,6.8,6.8,6.8,6.9,6.7,6.6,6.5,6.4,6.3,6.3,6.3,6.5,6.6,6.5,6.4,6.5,6.7,7.1,7.1,7.2,7.2,7.3,7.3,7.3,7.4,7.4,7.6,7.6,7.6,7.7,7.8,7.9,8.1,8.1,8.1,8.2,8.2,8.2,8.2,8.2,8.2,8.3,8.3,8.4,8.4,8.4,8.3,8,8,8.2,8.6,8.7,8.7,8.5,8.4,8.4,8.4,8.5,8.5,8.5,8.5,8.5,8.4,8.4,8.4,8.5,8.5,8.6,8.6,8.6,8.5,8.4,8.4,8.3,8.2,8.1,8.2,8.1,8,7.9,7.8,7.7,7.7,7.9,7.8,7.6,7.4,7.3,7.1,7.1,7,7)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = 'Default'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/1o7zo1229939520.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2ii7i1229939520.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.97934864  0.95125382  0.91978913  0.88743972  0.85523180
 [7]  0.81874175  0.77725388  0.73276181  0.68470328  0.62981864  0.57306625
[13]  0.51429270  0.45617970  0.39794085  0.33669780  0.27287132  0.20752710
[19]  0.14215532  0.07884791  0.01637011 -0.04512465
> (mypacf <- c(rpacf$acf))
 [1]  0.979348645 -0.192531259 -0.066783272 -0.015394849 -0.005871187
 [6] -0.128211024 -0.114454929 -0.053451458 -0.089387918 -0.187180477
[11] -0.030323922 -0.059283462 -0.007414741 -0.048979524 -0.092911092
[16] -0.072603159 -0.060379635 -0.041588254  0.001467085 -0.052994668
[21] -0.030520293
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/320uh1229939520.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/freestat/rcomp/tmp/47qfx1229939520.tab") 
> 
> system("convert tmp/1o7zo1229939520.ps tmp/1o7zo1229939520.png")
> system("convert tmp/2ii7i1229939520.ps tmp/2ii7i1229939520.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.878   0.541   1.183