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(77,70,67,76,85,106,108,120,108,111,109,104,104,117,111,110,116,118,115,111,112,97,106,93,95,97,81,71,75,70,72,80,78,80,81,99,87,100,95,128,112,104,102,108,103,99,96,85,78,74,106,100,109,87,107,106,109,83,84,83,65,68,61,75,66,78,68,68,174,64,48,45)
> par7 = '0.95'
> par6 = 'White Noise'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1q5oo1273078180.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2q5oo1273078180.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.393273050 -0.011103654 -0.009425382  0.006752545
 [6]  0.030779684 -0.069995893  0.022670746 -0.095043704  0.083118404
[11] -0.057838673 -0.020453906  0.048634503  0.062370550 -0.025007056
[16] -0.047010311  0.025314873  0.009430058  0.062598373 -0.080887477
[21] -0.035614926 -0.021347765  0.029371134 -0.033725115  0.017331604
[26]  0.005617668  0.033611753 -0.066260311  0.009920984  0.117172841
[31] -0.061054369  0.010391242 -0.046867639  0.083289025 -0.009390845
[36] -0.022049968 -0.014507728  0.038556404 -0.028595900 -0.009835115
[41]  0.006372514 -0.033137080 -0.056467675  0.089626373 -0.029284634
[46] -0.011591395  0.070605488 -0.056974011  0.035537461
> (mypacf <- c(rpacf$acf))
 [1] -0.393273050 -0.196096327 -0.112899209 -0.056147979  0.010032588
 [6] -0.063527001 -0.036250600 -0.141641594 -0.031352777 -0.073437559
[11] -0.090323667 -0.018630641  0.082799232  0.039483140 -0.027986545
[16] -0.026213477 -0.004986775  0.073487175 -0.008084183 -0.060002102
[21] -0.091825091 -0.051607377 -0.069230315 -0.018936835 -0.020529928
[26]  0.025260462 -0.076889110 -0.064288577  0.084233269  0.012293411
[31] -0.004502257 -0.029507269  0.080681118  0.074519214  0.024345294
[36] -0.002343207  0.074679647  0.001694816  0.003928166  0.008099719
[41] -0.041051732 -0.172933821 -0.020559734  0.002573015 -0.005477586
[46]  0.035459906 -0.045341359  0.017317925
> 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/3mfme1273078180.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/4f6li1273078180.tab") 
> 
> try(system("convert tmp/1q5oo1273078180.ps tmp/1q5oo1273078180.png",intern=TRUE))
character(0)
> try(system("convert tmp/2q5oo1273078180.ps tmp/2q5oo1273078180.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.580   0.344   1.081