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(62,64,62,64,64,69,69,65,56,58,53,62,55,60,59,58,53,57,57,53,54,53,57,57,55,49,50,49,54,58,58,52,56,52,59,53,52,53,51,50,56,52,46,48,46,48,48,49,53,48,51,48,50,55,52,53,52,55,53,53,56,54,52,55,54,59,56,56,51,53,52,51,46,49,46,55,57,53,52,53,50,54,53,50,51,52,47,51,49,53,52,45,53,51,48,48,48,48,40,43,40,39,39,36,41,39,40,39,46,40,37,37,44,41,40,36,38,43,42,45,46)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1k35k1259326811.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2t83p1259326811.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.396352773  0.084129559 -0.189707194  0.063546652
 [6] -0.025238597  0.084572958 -0.092053965  0.088971801 -0.094873875
[11] -0.009314083  0.004179847  0.142704193 -0.073017547 -0.076516073
[16] -0.029077784  0.039611215  0.097877633 -0.050320383  0.055232920
[21] -0.071308838 -0.035104226 -0.169513613  0.201592451 -0.080517479
[26]  0.062913997 -0.088041744  0.081993673 -0.051482953  0.083188688
[31] -0.014194176  0.024687052 -0.031329927  0.037886284 -0.135171817
[36]  0.122421391 -0.035144781
> (mypacf <- c(rpacf$acf))
 [1] -0.396352773 -0.086564923 -0.224466416 -0.120074878 -0.074100798
 [6]  0.018809916 -0.069559874  0.032898051 -0.040682805 -0.100135473
[11] -0.042605343  0.128712861  0.032590607 -0.112233370 -0.069352845
[16] -0.025852904  0.080357097  0.001904912  0.081009227  0.007363573
[21] -0.066267137 -0.257503328 -0.019062275 -0.085708289 -0.078314475
[26] -0.031516281  0.049103477 -0.034300571 -0.015039466  0.098601550
[31]  0.043373042  0.038324003  0.118352060 -0.058919010 -0.061036253
[36] -0.036200764
> 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/3kolq1259326811.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/4zy3i1259326811.tab") 
> 
> system("convert tmp/1k35k1259326811.ps tmp/1k35k1259326811.png")
> system("convert tmp/2t83p1259326811.ps tmp/2t83p1259326811.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.542   0.318   0.924