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(401,394,372,334,320,334,400,427,423,395,373,377,391,398,393,375,371,364,400,406,407,397,389,394,399,401,396,392,384,370,380,376,378,376,373,374,379,376,371,375,360,338,352,344,330,334,333,343,350,341,320,302,287,304,370,385,365,333,313,330,367)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '1'
> par3 = '2'
> par2 = '1'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1e0ij1261925947.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2wkmk1261925947.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.325216845 -0.232004395 -0.617768530 -0.412806153
 [6]  0.024236220  0.370699216  0.304066917 -0.011220025 -0.162491165
[11] -0.195129989  0.076734223  0.059318251  0.088466517  0.021131653
[16] -0.060434748 -0.015541304 -0.046026454 -0.002407559 -0.055420765
[21]  0.087373812  0.112852923  0.040289284 -0.109258549 -0.182173470
[26] -0.057875477  0.126118463  0.252301610 -0.006250456 -0.121587792
[31] -0.234859734 -0.025384022  0.170435815  0.270568885  0.078585764
[36] -0.199823877 -0.314486236 -0.148426093  0.139545616  0.236187931
[41]  0.160602528 -0.035259414 -0.116421197 -0.087467884 -0.010524973
[46]  0.011108422  0.005209366
> (mypacf <- c(rpacf$acf))
 [1]  0.325216845 -0.377720361 -0.509979095 -0.218200016 -0.116574555
 [6] -0.059295320 -0.147716247 -0.199809729  0.021595661 -0.089550583
[11]  0.147803595 -0.155462201  0.051989400  0.164688568 -0.023742561
[16]  0.151234333 -0.059790428  0.062451660 -0.044403344  0.098941510
[21]  0.155116062 -0.138064324  0.013382816 -0.108579748 -0.006341679
[26]  0.094510307 -0.045826526 -0.166110955 -0.005322066 -0.053247100
[31]  0.018779908 -0.025773155  0.190418320  0.033886006  0.005588737
[36] -0.039646028 -0.025814768 -0.028547229 -0.055847832 -0.131728016
[41] -0.022305890  0.024268821 -0.012550533 -0.031424607 -0.044728376
[46]  0.069500129
> 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/35tum1261925947.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/47mck1261925947.tab") 
> 
> try(system("convert tmp/1e0ij1261925947.ps tmp/1e0ij1261925947.png",intern=TRUE))
character(0)
> try(system("convert tmp/2wkmk1261925947.ps tmp/2wkmk1261925947.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.593   0.324   1.269