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 = '0'
> par3 = '1'
> par2 = '-0.5'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1enxf1261135967.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/27m421261135967.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.065482785 -0.191040222  0.021468801 -0.133733918
 [6]  0.045907355  0.065484664 -0.143153465  0.060813963 -0.020832708
[11]  0.110895531  0.256201541 -0.260864659 -0.128882145  0.146248495
[16] -0.051628031 -0.045684343 -0.023076091 -0.098814940  0.074476315
[21] -0.097116680 -0.071094667 -0.013313802 -0.203080929  0.094853977
[26]  0.122871735 -0.173026236 -0.020516929 -0.027207858 -0.088405086
[31]  0.095020219  0.088057944  0.059070037  0.056562523 -0.134956226
[36]  0.055753627  0.004563915
> (mypacf <- c(rpacf$acf))
 [1]  0.065482785 -0.196169391  0.051471372 -0.185628885  0.096784437
 [6] -0.019733494 -0.112374896  0.076420755 -0.087036571  0.196217434
[11]  0.164801489 -0.247249537  0.013934985  0.065419632 -0.016867713
[16] -0.117674033 -0.020718023 -0.024788452 -0.007321914 -0.172433106
[21] -0.074576976 -0.082799791 -0.106562243  0.048681278 -0.075682986
[26] -0.075529452 -0.013200107 -0.095429462 -0.086416285  0.016401440
[31]  0.199997177  0.042934844  0.043980729 -0.087784236  0.037142931
[36] -0.050946480
> 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/3oxwg1261135967.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/41v8e1261135967.tab") 
> 
> try(system("convert tmp/1enxf1261135967.ps tmp/1enxf1261135967.png",intern=TRUE))
character(0)
> try(system("convert tmp/27m421261135967.ps tmp/27m421261135967.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.555   0.325   0.790