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(356,386,444,387,327,448,225,182,460,411,342,361,377,331,428,340,352,461,221,198,422,329,320,375,364,351,380,319,322,386,221,187,344,342,365,313,356,337,389,326,343,357,220,218,391,425,332,298,360,336,325,393,301,426,265,210,429,440,357,431,442,442,544,420,396,482,261,211,448,468,464,425)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/18q3z1292316651.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/28q3z1292316651.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.198741876 -0.162152066  0.211306269 -0.034009447
 [6] -0.058207379  0.146934570 -0.032285782  0.082994735  0.185444385
[11] -0.212378285  0.093289602  0.555230658  0.027632573 -0.183208408
[16]  0.034996823 -0.090138987 -0.068742845 -0.027828595 -0.093308289
[21] -0.039437100  0.007860995 -0.184306384 -0.016781095  0.371230720
[26]  0.052590111 -0.217443051 -0.074083692 -0.085300065 -0.159719422
[31] -0.086796786 -0.088072693 -0.109462167 -0.012412715 -0.137987471
[36] -0.041594052  0.297194633  0.011652587 -0.264504657 -0.042385677
[41] -0.075224148 -0.145330791 -0.009724140 -0.053904209 -0.080279773
[46]  0.069951245 -0.089813244 -0.052287643  0.261045962
> (mypacf <- c(rpacf$acf))
 [1]  0.198741876 -0.209942790  0.318049898 -0.252741600  0.187930169
 [6] -0.040894062  0.009521525  0.169414348  0.007168150 -0.211982441
[11]  0.341878012  0.341462832 -0.107143242 -0.155504789 -0.137832867
[16]  0.060936212 -0.048391876 -0.166637372 -0.006729993 -0.290384603
[21]  0.110974982 -0.035240622  0.012571743  0.182534512 -0.058745401
[26]  0.020254560 -0.075160029  0.016599797 -0.083740558 -0.052050566
[31] -0.083150201 -0.089842423 -0.026660194 -0.025722771  0.098004639
[36] -0.040430296 -0.049512405 -0.080862882  0.107700148 -0.035710299
[41]  0.020046627 -0.005548390 -0.060743342  0.052830477  0.059079903
[46] -0.023792597 -0.095301196 -0.071369650
> 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/34i1q1292316651.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/470ze1292316651.tab") 
> 
> try(system("convert tmp/18q3z1292316651.ps tmp/18q3z1292316651.png",intern=TRUE))
character(0)
> try(system("convert tmp/28q3z1292316651.ps tmp/28q3z1292316651.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.587   0.337  27.254