R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(59,58,57,55,53,52,53,55,56,56,57,59,68,68,68,70,66,64,72,80,84,82,83,86,99,100,95,98,103,107,114,123,132,137,141,146,156,156,143,143,151,149,156,166,177,180,189,195,205,209,199,191,198,200,208,224,234,243,249,258,274,270,261,258,261,258,264,270,267,287,297,306,322,323,309,303,306,301,316,327,330,342,359,379)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/rcomp/tmp/11lah1278074431.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/21lah1278074431.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.354753059 -0.002624199  0.076096269 -0.109679196
 [6] -0.224462147 -0.164161278 -0.237331140 -0.266117913 -0.016507680
[11]  0.009429568  0.237270365  0.590244856  0.298452302  0.026572503
[16] -0.011840169 -0.025019405 -0.118889158 -0.178957101 -0.283585389
[21] -0.198772123 -0.122253836 -0.056349875  0.242204032  0.396793054
[26]  0.195980876  0.042123501  0.050951043 -0.010649112 -0.038017838
[31] -0.054982539 -0.227403720 -0.192038858 -0.081929065 -0.015099768
[36]  0.126994211  0.272182658  0.128119426 -0.024809608  0.025736175
[41] -0.007331780 -0.060450688 -0.029252844 -0.133490568 -0.183515008
[46] -0.059657362  0.006850470  0.077236904  0.130162123
> (mypacf <- c(rpacf$acf))
 [1]  0.354753059 -0.146970076  0.151183078 -0.235141718 -0.088439967
 [6] -0.098186764 -0.185755915 -0.145026915  0.084145210 -0.103304431
[11]  0.344252462  0.406009499 -0.030653938 -0.033499131 -0.208263340
[16]  0.081570456  0.027637883 -0.033665711 -0.080809501  0.137352336
[21] -0.208589133  0.048581215  0.049989954  0.057864452 -0.042637289
[26] -0.047906284  0.049563379 -0.022707974  0.013456440  0.140946326
[31]  0.026392062 -0.045644935  0.057291981 -0.011079334 -0.023564971
[36] -0.013940771 -0.030890167 -0.008423841 -0.051056412 -0.101608540
[41] -0.008537836  0.072121965 -0.033624941  0.022164473  0.018664241
[46] -0.077587075 -0.002578505 -0.100415852
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/3xdq81278074431.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/rcomp/tmp/4qm7b1278074431.tab") 
> 
> try(system("convert tmp/11lah1278074431.ps tmp/11lah1278074431.png",intern=TRUE))
character(0)
> try(system("convert tmp/21lah1278074431.ps tmp/21lah1278074431.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.540   0.360   0.618