R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(194.9,195.5,196,196.2,196.2,196.2,196.2,197,197.7,198,198.2,198.5,198.6,199.5,200,201.3,202.2,202.9,203.5,203.5,204,204.1,204.3,204.5,204.8,205.1,205.7,206.5,206.9,207.1,207.8,208,208.5,208.6,209,209.1,209.7,209.8,209.9,210,210.8,211.4,211.7,212,212.2,212.4,212.9,213.4,213.7,214,214.3,214.8,215,215.9,216.4,216.9,217.2,217.5,217.9,218.1,218.6,218.9,219.3,220.4,220.9,221,221.8,222,222.2,222.5,222.9,223.1)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '36'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/rcomp/tmp/1lf1z1291663503.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2lf1z1291663503.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.95814682  0.91619325  0.87449907  0.83215136  0.78835106
 [7]  0.74308200  0.69791063  0.65321290  0.60996170  0.56876273  0.52724103
[13]  0.48558593  0.44370175  0.40294206  0.36283994  0.32554396  0.29002868
[19]  0.25626312  0.22423447  0.19315175  0.16262892  0.13240253  0.10229068
[25]  0.07203667  0.04213234  0.01304929 -0.01433120 -0.04021801 -0.06564666
[31] -0.09089611 -0.11445917 -0.13690112 -0.15676802 -0.17737874 -0.19771255
[37] -0.21857188
> (mypacf <- c(rpacf$acf))
 [1]  0.958146819 -0.022598792 -0.018726146 -0.030231725 -0.040842167
 [6] -0.042509408 -0.024870523 -0.020712569 -0.008743965 -0.001028120
[11] -0.029891295 -0.029117823 -0.032072985 -0.016650912 -0.021749749
[16]  0.005603322 -0.005853315 -0.005772388 -0.006772543 -0.017415289
[21] -0.022652595 -0.025480151 -0.027252790 -0.030305363 -0.023710881
[26] -0.019101751 -0.008161277 -0.010755017 -0.023314864 -0.028098604
[31] -0.010045942 -0.016381137  0.002867190 -0.035857149 -0.024735611
[36] -0.036539880
> 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/3z7y81291663503.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/42qfw1291663503.tab") 
> 
> try(system("convert tmp/1lf1z1291663503.ps tmp/1lf1z1291663503.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lf1z1291663503.ps tmp/2lf1z1291663503.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.610   0.430   1.025