R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(101.8,103.4,104.9,105.1,105.6,104.5,105.5,105.1,106.9,106.6,106.6,106.5,109.7,109.5,109.2,109.1,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.0,109.2,113.3,112.3,112.3,116.3,118.3,119.4,119.4,119.4,120.1,121.7,123.7,123.7,128.5,127.1,122.6,119.8,122.7,123.4,123.8,121.8,121.2,121.2,121.2,121.2,129.6,131.0,131.0,129.8,129.8,134.9,131.2,127.1,130.5,130.5,131.7,131.7,131.7)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1.0'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1pzwm1196180898.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2j9i51196180898.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.94284455  0.88759898  0.84461387  0.80592956  0.76408439
 [7]  0.72269358  0.67586362  0.62177931  0.57364254  0.52599300  0.48316036
[13]  0.44514519  0.40751388  0.38561700  0.36676425  0.35281251  0.33219114
[19]  0.30399973  0.27435402  0.24833102  0.21981606  0.19470103  0.16167135
[25]  0.11891503  0.06462371  0.02050687 -0.02508232 -0.06370619 -0.09813777
[31] -0.13705543 -0.17514549 -0.21074801 -0.24661175 -0.27906805 -0.30385195
[37] -0.32912778 -0.35026307 -0.36441436 -0.37785304 -0.38137800 -0.38370105
[43] -0.38325802 -0.38317126 -0.38100525 -0.37861254 -0.37334993 -0.36500320
[49] -0.35590454
> (mypacf <- c(rpacf$acf))
 [1]  0.942844550 -0.012219115  0.081429747  0.018747813 -0.037726099
 [6] -0.011937117 -0.076095838 -0.095829653  0.009500285 -0.042880741
[11]  0.019529748  0.022612847 -0.012848459  0.139625028  0.018967276
[16]  0.056202912 -0.056354384 -0.098845871 -0.053095610 -0.032854882
[21] -0.079154162  0.018081995 -0.102852348 -0.084414929 -0.135991115
[26]  0.026991407 -0.048617022  0.043371313  0.024956255 -0.055728545
[31] -0.025221527 -0.041075217 -0.076308940 -0.025155417  0.002137448
[36] -0.068553656  0.001768288 -0.018834876  0.005152661  0.089062749
[41]  0.045011688  0.053380822 -0.001046533 -0.015763981 -0.020760784
[46] -0.018676707  0.032560949  0.015524540
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 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 1:par1) {
+ 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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3ehuv1196180898.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-1,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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/44mgk1196180898.tab") 
> 
> system("convert tmp/1pzwm1196180898.ps tmp/1pzwm1196180898.png")
> system("convert tmp/2j9i51196180898.ps tmp/2j9i51196180898.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.854   0.329   0.966