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(580,575,558,564,581,597,587,536,524,537,536,533,528,516,502,506,518,534,528,478,469,490,493,508,517,514,510,527,542,565,555,499,511,526,532,549,561,557,566,588,620,626,620,573,573,574,580,590,593,597,595,612,628,629,621,569,567,573,584,589,591,595,594,611,613,611,594,543,537,544,555,561,562)
> par7 = '0.95'
> par6 = 'White Noise'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1obia1273068888.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2obia1273068888.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.272882380 -0.239695831 -0.325446032 -0.219928965
 [6]  0.104494910  0.207585644  0.065472257 -0.205722015 -0.266713300
[11] -0.197250501  0.263109939  0.767257935  0.155798934 -0.244383299
[16] -0.325198237 -0.210161687  0.082874739  0.153803663  0.031534578
[21] -0.210481756 -0.235026432 -0.145657381  0.218382824  0.562681975
[26]  0.073613377 -0.250609164 -0.296608813 -0.162966940  0.070959898
[31]  0.113547195  0.008995498 -0.191164020 -0.179551180 -0.088241064
[36]  0.162133211  0.401996820
> (mypacf <- c(rpacf$acf))
 [1]  0.272882380 -0.339436708 -0.177322338 -0.173992790  0.100946398
 [6]  0.004202926 -0.033240169 -0.202984339 -0.116408034 -0.227187533
[11]  0.268682185  0.643398173 -0.240166696  0.092604695 -0.013734280
[16] -0.047338139 -0.135080916 -0.072537565 -0.015695753 -0.135901569
[21] -0.032324222  0.009086753 -0.135758450 -0.051813137 -0.019763022
[26] -0.094173164 -0.015170216  0.001400977 -0.051081737 -0.062584128
[31] -0.024504772 -0.012950589 -0.049558424 -0.025663362 -0.104853364
[36] -0.069117995
> 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/3klgj1273068888.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/4ucfl1273068888.tab") 
> 
> try(system("convert tmp/1obia1273068888.ps tmp/1obia1273068888.png",intern=TRUE))
character(0)
> try(system("convert tmp/2obia1273068888.ps tmp/2obia1273068888.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.548   0.307   0.678