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(5.4,5.4,5.6,5.7,5.8,5.8,5.8,5.9,6.1,6.4,6.4,6.3,6.2,6.2,6.3,6.4,6.5,6.6,6.6,6.6,6.8,7,7.2,7.3,7.5,7.6,7.6,7.7,7.7,7.7,7.7,7.6,7.7,7.9,7.9,7.9,7.8,7.6,7.4,7,7,7.2,7.5,7.8,7.8,7.7,7.6,7.5,7.5,7.5,7.5,7.6,7.9,7.6,7.5,7.5,7.6,7.7,7.9,7.9)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1xqdd1259330369.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/279g61259330369.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.516416783  0.050029827 -0.297758998 -0.473865580
 [6] -0.209598330 -0.006078743  0.167440843  0.359558560  0.252610857
[11]  0.031457546 -0.207265858 -0.445989262 -0.327422947 -0.146613641
[16] -0.022533307  0.127528336  0.100019885  0.142791808  0.067713263
[21] -0.046150328 -0.097023265 -0.157055081 -0.098488765 -0.004034599
[26]  0.076494333  0.108705508  0.119327898  0.053782064 -0.052044144
[31] -0.132262875 -0.129023663 -0.036064824  0.039697753  0.128264068
[36]  0.079914496  0.012499503
> (mypacf <- c(rpacf$acf))
 [1]  0.516416783 -0.295448543 -0.266925397 -0.248477253  0.222039420
 [6] -0.115064760  0.042345190  0.247264229 -0.002523202 -0.136038308
[11] -0.084091520 -0.187126218 -0.001830365 -0.149967251 -0.187342626
[16] -0.074431078 -0.044105886  0.152770468 -0.084395024  0.145926262
[21]  0.004140022 -0.067607645 -0.056560743 -0.081947379 -0.010476583
[26] -0.188262855 -0.017607497 -0.065606147 -0.134628413  0.017363348
[31]  0.035215610  0.060333910 -0.018012521  0.076982034 -0.078353204
[36] -0.107498412
> 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/30qzu1259330369.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/4xmrd1259330369.tab") 
> system("convert tmp/1xqdd1259330369.ps tmp/1xqdd1259330369.png")
> system("convert tmp/279g61259330369.ps tmp/279g61259330369.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.518   0.342   0.650