R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(7.8,7.6,7.5,7.6,7.5,7.3,7.6,7.5,7.6,7.9,7.9,8.1,8.2,8.0,7.5,6.8,6.5,6.6,7.6,8.0,8.0,7.7,7.5,7.6,7.7,7.9,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.1,7.9,7.3,6.9,6.6,6.7,6.9,7.0,7.1,7.2,7.1,6.9,7.0,6.8,6.4,6.7,6.7,6.4,6.3,6.2,6.5,6.8,6.8,6.5,6.3,5.9,5.9,6.4,6.4)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1rekp1229102267.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2ay511229102267.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.348149488 -0.060730691 -0.318681524 -0.440417654
 [6] -0.143471550  0.056012384  0.080290790 -0.069146997 -0.081714773
[11] -0.071406343 -0.014034883  0.278085772  0.063295906  0.159836911
[16]  0.094487055 -0.075146133 -0.125960066 -0.127387606 -0.020957408
[21] -0.035431534  0.049135207 -0.018389080 -0.167409853 -0.018652715
[26] -0.062228474  0.133353399  0.190903578  0.103839198  0.071910049
[31] -0.031626391 -0.111958971 -0.175164183 -0.092682513 -0.074808254
[36]  0.029626234  0.171979226  0.019801060 -0.039829744 -0.081737446
[41]  0.006820716  0.144199324  0.162162943  0.022793070 -0.195660563
[46] -0.165067371 -0.120831859  0.027597625  0.234647387  0.103588011
[51] -0.007603618 -0.022494758 -0.056419618 -0.053915310  0.004707192
[56] -0.006520181 -0.013756133  0.043615326 -0.015926118 -0.008536787
[61]  0.037605076
> (mypacf <- c(rpacf$acf))
 [1]  0.348149488 -0.207032803 -0.262841463 -0.304205726  0.054868464
 [6] -0.052257249 -0.147979038 -0.291026499 -0.043679644 -0.110587857
[11] -0.151799427  0.159677896 -0.274449812  0.266706876  0.015383522
[16]  0.060279018 -0.134615094  0.139615971  0.110921476 -0.045449034
[21]  0.029207059 -0.048609723 -0.096926704 -0.065986707 -0.069737028
[26] -0.091002622 -0.006477222 -0.061202855  0.094964758 -0.062403319
[31] -0.087494485 -0.032691459 -0.072809136 -0.100252169  0.107100369
[36]  0.011982356 -0.037813417 -0.144715500  0.010689780  0.082940983
[41] -0.038211841  0.037233665 -0.129474122 -0.083164085  0.016287281
[46] -0.041501381 -0.119459678  0.116375953 -0.017357424 -0.002454508
[51]  0.062512679  0.028952609 -0.010390574 -0.092761907 -0.009971202
[56]  0.001697675 -0.072274301  0.013092069  0.040289707 -0.054458137
> 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/3wqd21229102267.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/4n40u1229102267.tab") 
> 
> system("convert tmp/1rekp1229102267.ps tmp/1rekp1229102267.png")
> system("convert tmp/2ay511229102267.ps tmp/2ay511229102267.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.998   0.559   2.109