R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(1.5,1.7,1.6,1.8,2.1,2.1,2.3,2.8,2.5,2.5,2.3,2.3,2.2,2.1,2.2,2,1.6,1.6,1.3,1.3,1.5,1.4,2,2.1,2.1,1.7,2.3,2.5,2.2,2.3,2.9,3.1,2.4,2,1.6,1.9,1.6,1.7,1.2,1.6,1.6,1.9,2.1,1.8,2.1,2.7,3.2,3,3.1,3.7,3.7,2.5,2.8,2.8,2.5,2.8,2.5,1.6,1.5,1.7,1.3)
> par7 = '0.95'
> par6 = 'MA'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/109we1261569596.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2mjfd1261569596.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.020103582 -0.180964347  0.119268783  0.193645476
 [6] -0.082635341  0.003844543 -0.043983304 -0.131806126  0.017576849
[11] -0.068528911 -0.155220984 -0.374043052  0.041819527 -0.102624452
[16]  0.093244828 -0.067657816  0.008854734  0.071923947  0.267835106
[21]  0.051525812 -0.190916325  0.131554848  0.192027529  0.066345590
[26] -0.033873580  0.087617612 -0.115834660 -0.023826674 -0.088908898
[31] -0.079194237 -0.186323534  0.040075942  0.017752743 -0.115341877
[36]  0.041328140 -0.002353631
> (mypacf <- c(rpacf$acf))
 [1] -0.020103582 -0.181441831  0.115159212  0.171891418 -0.039121741
 [6]  0.051247082 -0.112673630 -0.159055007  0.006198846 -0.119751367
[11] -0.100559928 -0.419255461 -0.057969821 -0.253223952  0.220373654
[16] -0.018432103  0.085410375  0.067261120  0.241181995  0.100514881
[21] -0.205413555 -0.094817501 -0.131312022 -0.132737315  0.038820817
[26] -0.049192870  0.105314664 -0.077655600  0.055663729  0.015825585
[31]  0.004778813  0.079752180 -0.143007220 -0.084469595  0.032721955
[36]  0.035233314
> 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/344yr1261569596.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/48r2m1261569596.tab") 
> 
> try(system("convert tmp/109we1261569596.ps tmp/109we1261569596.png",intern=TRUE))
character(0)
> try(system("convert tmp/2mjfd1261569596.ps tmp/2mjfd1261569596.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.542   0.335   0.683