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(181.10,191.20,206.20,212.00,224.70,231.30,229.30,227.40,253.90,265.90,277.70,292.10,282.90,292.80,311.00,330.90,350.00,348.50,360.90,345.90,308.80,320.00,322.00,322.90,343.30,354.70,376.60,383.20,392.50,388.20,407.40,412.50,419.80,418.10,389.20,391.60,412.90,385.90,385.50,350.20,336.30,318.50,345.40,377.40,359.50,315.60,307.80,277.40,186.90,160.00,149.10,148.90,137.90,134.00,157.50,175.10,181.00,182.20,207.80,219.40)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/12oah1260716935.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2lqt71260716935.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.38140187  0.13845503  0.19371740  0.10925751 -0.03356322
 [7] -0.09943652  0.04883178  0.09284143 -0.03987787 -0.06075219  0.06642294
[13]  0.01881114 -0.01003698  0.09000100  0.00943871 -0.01682213 -0.01954234
[19] -0.08498326 -0.04013234 -0.05797983 -0.10100253 -0.07466808 -0.17444768
[25] -0.14107536  0.01730825 -0.03189323  0.04774648  0.20153922  0.04228644
[31] -0.06181467 -0.08538062 -0.06535395 -0.06657405 -0.09303695 -0.10571556
[37] -0.08936313
> (mypacf <- c(rpacf$acf))
 [1]  0.381401867 -0.008206070  0.168064432 -0.023503920 -0.093120277
 [6] -0.096401510  0.131630841  0.070335021 -0.077879898 -0.056832854
[11]  0.076390181 -0.024918412  0.048837766  0.092978375 -0.122451650
[16] -0.005008672  0.001987960 -0.087403878  0.031794635 -0.021687663
[21] -0.088155799 -0.031158982 -0.139137579 -0.007484072  0.126830665
[26] -0.026966309  0.093897615  0.143648606 -0.143053556 -0.082571114
[31] -0.052151569 -0.008021942 -0.009263062  0.031306573 -0.126058351
[36] -0.119290748
> 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/3afmx1260716935.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/4opbz1260716935.tab") 
> 
> try(system("convert tmp/12oah1260716935.ps tmp/12oah1260716935.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lqt71260716935.ps tmp/2lqt71260716935.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.552   0.310   0.645