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(1.8,1.6,1.9,1.7,1.6,1.3,1.1,1.9,2.6,2.3,2.4,2.2,2,2.9,2.6,2.3,2.3,2.6,3.1,2.8,2.5,2.9,3.1,3.1,3.2,2.5,2.6,2.9,2.6,2.4,1.7,2,2.2,1.9,1.6,1.6,1.2,1.2,1.5,1.6,1.7,1.8,1.8,1.8,1.3,1.3,1.4,1.1,1.5,2.2,2.9,3.1,3.5,3.6,4.4,4.2,5.2,5.8,5.9,5.4,5.5)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '1'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/16xs11261044528.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2x2ty1261044528.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.882436999  0.761307243  0.663301637  0.564141711
 [6]  0.476702698  0.379337158  0.267855570  0.214121453  0.136976964
[11]  0.060211483 -0.034740049 -0.150263331 -0.181400133 -0.182291854
[16] -0.231510911 -0.270021839 -0.303976818 -0.337472585 -0.370568900
[21] -0.407054263 -0.416417815 -0.400873838 -0.388715763 -0.344189538
[26] -0.292477905 -0.269836588 -0.223309960 -0.184725183 -0.160799016
[31] -0.117219523 -0.066475065 -0.030925490 -0.010553497 -0.007529336
[36]  0.020465260  0.046775554
> (mypacf <- c(rpacf$acf))
 [1]  0.8824369993 -0.0785694822  0.0365790507 -0.0684441039 -0.0004680891
 [6] -0.1097480830 -0.1228358290  0.1773464024 -0.1902820229 -0.0114176715
[11] -0.2021651496 -0.1511859943  0.2827892618 -0.0063497806 -0.1708522070
[16] -0.0596088661 -0.0219897294 -0.1044725734 -0.1743158284  0.0960420132
[21]  0.0524678211 -0.0332450928 -0.0942402537  0.0458610313  0.1717475442
[26] -0.1287535726 -0.0009580358 -0.0581741324  0.0158330807  0.0195512259
[31] -0.0608875824 -0.0134374763 -0.0532823981 -0.0158932230 -0.0127476110
[36]  0.0257484614
> 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/36sdq1261044528.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/48w0v1261044528.tab") 
> 
> try(system("convert tmp/16xs11261044528.ps tmp/16xs11261044528.png",intern=TRUE))
character(0)
> try(system("convert tmp/2x2ty1261044528.ps tmp/2x2ty1261044528.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.560   0.324   2.877