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(13,14,8,10,16,26,32,27,18,32,36,24,22,23,22,18,25,21,21,14,8,11,14,23,18,17,19,20,22,19,13,26,13,14,22,24,21,22,26,21,23,24,27,41,31,27,35,26,28,36,39,21,17,22,17,19,15,34,10,15,22,18,15,20,15,22,19,16,30,27,29,23,20,16,21,21,25,16,18,15,18,14,10,15,8,15,6,11,8,7,13,10,23,16,15,25,22,20,16)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '0.0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1o4ad1272891319.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2o4ad1272891319.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.552116087  0.501859312  0.387853442  0.307069484
 [6]  0.269523813  0.143555749  0.144421010  0.023601802 -0.023346836
[11] -0.092953516 -0.070004967 -0.067907203 -0.124839272 -0.171121125
[16] -0.137339974 -0.162710319 -0.058896045 -0.039928213  0.028236153
[21] -0.018466433 -0.032772764  0.028061055 -0.054339878 -0.006660555
[26]  0.041555219  0.107722822  0.044258399  0.084925335  0.013302802
[31]  0.105079786  0.060373845  0.080569671  0.049654261  0.013711278
[36] -0.027821413 -0.089772777 -0.073406699 -0.122681951 -0.132824969
[41] -0.183799341 -0.229100121 -0.218633894 -0.223304530 -0.214149047
[46] -0.218971654 -0.234269923 -0.187386441 -0.234739999
> (mypacf <- c(rpacf$acf))
 [1]  0.552116087  0.283423846  0.051332777 -0.001762247  0.039396786
 [6] -0.108348076  0.031392289 -0.111281509 -0.068995757 -0.078175201
[11]  0.061977338  0.026817940 -0.067886204 -0.115946441  0.052155655
[16] -0.046347826  0.144816263  0.037263459  0.073198718 -0.108329306
[21] -0.041013061  0.037397532 -0.117930124 -0.028589692  0.156617720
[26]  0.125304779 -0.077104235  0.051595980 -0.146563418  0.106175014
[31] -0.025788725  0.085109018 -0.067394596 -0.017826361 -0.087802591
[36] -0.058607462 -0.117506984 -0.002603967 -0.034505169  0.031208007
[41] -0.090155591  0.051423830 -0.103623378 -0.042899551 -0.098194667
[46]  0.026697760 -0.029971114 -0.054740818
> 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/3kw731272891319.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/4dn761272891319.tab") 
> 
> try(system("convert tmp/1o4ad1272891319.ps tmp/1o4ad1272891319.png",intern=TRUE))
character(0)
> try(system("convert tmp/2o4ad1272891319.ps tmp/2o4ad1272891319.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.559   0.298   0.793