R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(113,95.4,86.2,111.7,97.5,99.7,111.5,91.8,86.3,88.7,95.1,105.1,104.5,89.1,82.6,102.7,91.8,94.1,103.1,93.2,91,94.3,99.4,115.7,116.8,99.8,96,115.9,109.1,117.3,109.8,112.8,110.7,100,113.3,122.4,112.5,104.2,92.5,117.2,109.3,106.1,118.8,105.3,106,102,112.9,116.5,114.8,100.5,85.4,114.6,109.9,100.7,115.5,100.7,99,102.3)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/rcomp/tmp/1y8em1292232252.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2y8em1292232252.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.287272503 -0.320895260  0.155029627 -0.195800362
 [6]  0.138973671  0.093186079  0.058779294 -0.022485437 -0.030256329
[11] -0.208299266 -0.144680055  0.592115501 -0.110136730 -0.253324329
[16]  0.030342660 -0.087775175  0.134250677  0.009837273  0.048987955
[21]  0.008772305 -0.083510423 -0.130976814 -0.064090337  0.350950377
[26] -0.017664468 -0.206399984 -0.034467821  0.016942666  0.057057459
[31]  0.005032504  0.094278375 -0.108016625  0.014888974 -0.041255360
[36] -0.159783144  0.347718772 -0.038888279 -0.205772343  0.096092385
[41] -0.053985452  0.007291937  0.072396982  0.038486244 -0.102526576
[46]  0.039585771 -0.013512896 -0.122071548  0.211805205
> (mypacf <- c(rpacf$acf))
 [1] -0.287272503 -0.439707858 -0.140530641 -0.444158159 -0.163672254
 [6] -0.210041028  0.156714781  0.133967000  0.413575315 -0.009763599
[11] -0.354671217  0.204628316  0.064679869  0.083618787 -0.267091979
[16] -0.033948146 -0.033928777  0.005696197 -0.049641480 -0.065247531
[21] -0.002843394 -0.035715331  0.012885363 -0.102918863 -0.041634996
[26] -0.113997996 -0.087513031 -0.007819381 -0.109956576 -0.009199609
[31]  0.072690901 -0.090571430  0.075130039  0.094081417 -0.018783636
[36]  0.055562121 -0.092010284 -0.080372483  0.047332918 -0.011894421
[41] -0.107563905 -0.073610846 -0.006925549  0.001062697 -0.029534661
[46] -0.051802360  0.033701283 -0.097107073
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/3j8vs1292232252.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/rcomp/tmp/449ty1292232252.tab") 
> 
> try(system("convert tmp/1y8em1292232252.ps tmp/1y8em1292232252.png",intern=TRUE))
character(0)
> try(system("convert tmp/2y8em1292232252.ps tmp/2y8em1292232252.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.650   0.390   1.054