R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(11.9,13.6,15.2,12.5,14.9,13.7,12.5,13.1,14.5,15.2,16.1,14.8,15.1,14.8,16.1,14.3,15.2,14.9,13.1,12.6,13.6,14.4,14,12.9,13.4,13.5,14.8,14.3,14.3,14,13.2,12.2,14.3,15.7,14.2,14.6,14.5,14.3,15.3,14.4,13.7,14.2,13.5,11.9,14.6,15.6,14.1,14.9,14.2,14.6,17.2,15.4,14.3,17.5,14.5,14.4,16.6,16.7,16.6,16.9,15.7,16.4,18.4,16.9,16.5,18.3,15.1,15.7,18.1,16.8,18.9,19,18.1,17.8,21.5,17.1,18.7,19,16.4,16.9,18.6,19.3,19.4,17.6,18.6,18.1,20.4,18.1,19.6,19.9,19.2,17.8,19.2,22.1,21.2,19.5)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/11yu21228602657.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2508k1228602657.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.379037468 -0.240107313  0.248548172 -0.126738817
 [6] -0.134880368  0.314545654 -0.193021006 -0.024543281  0.231171865
[11] -0.320177760 -0.151408027  0.618113628 -0.262767142 -0.122440823
[16]  0.122141514 -0.139198438 -0.001819575  0.169058091 -0.133409377
[21]  0.022913511  0.140517949 -0.320957057  0.081200153  0.297886591
[26] -0.111291588 -0.064499115  0.003162813 -0.074969430  0.060712135
[31]  0.003376344 -0.030763054  0.060898290  0.008179877 -0.183890278
[36]  0.027686018  0.202432793  0.017471210 -0.132704908 -0.016679138
[41]  0.013496250  0.017217528 -0.031066012  0.035099374  0.031547825
[46] -0.031098863 -0.036201705 -0.103912909  0.197729637
> (mypacf <- c(rpacf$acf))
 [1] -0.37903747 -0.44816420 -0.07762243 -0.18953190 -0.27854343  0.06972256
 [7] -0.11656832 -0.01145748  0.15103502 -0.18943287 -0.43423356  0.27139451
[13]  0.18501009  0.14855031 -0.11366957 -0.11374660  0.01772117 -0.08583047
[19]  0.01045594 -0.06694358 -0.07899203 -0.19032438  0.09913699  0.03545306
[25]  0.14104132  0.03207772 -0.03994764  0.05498055  0.04313123 -0.07717257
[31] -0.10310742 -0.09293231 -0.09332622  0.03965011 -0.22559347 -0.04253008
[37]  0.03268365 -0.04919654  0.02300899 -0.01109587  0.03160557 -0.02442880
[43] -0.00448939 -0.02231829 -0.05478173  0.00901006 -0.09348201 -0.06160922
> 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/3k95c1228602657.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/44c891228602657.tab") 
> 
> system("convert tmp/11yu21228602657.ps tmp/11yu21228602657.png")
> system("convert tmp/2508k1228602657.ps tmp/2508k1228602657.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.592   0.321   0.765