R version 2.12.1 (2010-12-16)
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(760,730,730,680,730,710,800,830,820,770,800,840,800,710,800,780,760,730,770,880,850,810,770,810,890,790,840,830,740,760,630,890,900,820,810,820,890,810,810,840,830,790,610,870,870,820,800,840,860,860,730,850,860,900,610,960,820,860,810,820,820,880,840,910,860,880,620,970,810,880,870,800,740,1010,850,980,880,870,660,940,860,880,1000,840,800,1060,790,930,920,840,690,940,1010,890,1000,820,800,1000,780,1010,950,830,670,1000,960,920,1040,860)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, 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: 
> #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 (par8 != '') par8 <- as.numeric(par8)
> ox <- x
> if (par8 == '') {
+ if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
+ } else {
+ x <- log(x,base=par8)
+ }
> 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/1dbsy1312904952.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow=c(2,1))
> plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
> if (par8=='') {
+ mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
+ mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
+ } else {
+ mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
+ mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
+ }
> plot(x,type='l', main=mytitle,xlab='time',ylab='value')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2ewtv1312904952.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=mysub)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3paro1312904952.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',sub=mysub)
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.046733438  0.139651887  0.125939680  0.140685723
 [6]  0.067626229  0.322516318  0.084505214  0.176190262  0.113484132
[11]  0.062409783 -0.035920924  0.711519244  0.011054843  0.104999625
[16]  0.090999325  0.048783855  0.051267912  0.265680846 -0.032307750
[21]  0.141069848  0.058602296  0.023400105 -0.100669968  0.452442044
[26]  0.010010503  0.052818666  0.039007427 -0.012913197  0.075008628
[31]  0.186464101 -0.079483082  0.092192963 -0.023891515 -0.058868632
[36] -0.121205642  0.255061895  0.017644985 -0.005709356  0.025449021
[41] -0.085602821  0.065519544  0.053319829 -0.084668767  0.064824068
[46] -0.073821742 -0.082393278 -0.101210143  0.124114337
> (mypacf <- c(rpacf$acf))
 [1]  0.046733438  0.137768762  0.116331236  0.117651461  0.031507855
 [6]  0.288392530  0.046522282  0.103461603  0.041322675 -0.039078619
[11] -0.123656652  0.678580158 -0.125528148 -0.118810217 -0.030398267
[16] -0.086474511  0.081537685 -0.003186056 -0.221041730 -0.006558156
[21] -0.018184337  0.078638417 -0.023201083 -0.150102767  0.127218280
[26] -0.014046571 -0.018469013  0.040310250  0.059234469 -0.059186495
[31]  0.058413688 -0.072013821 -0.113462359 -0.099092128  0.031978775
[36] -0.006923217  0.036349725 -0.088172650  0.108441397 -0.036117886
[41]  0.055419531 -0.144258168  0.001704150  0.078010566 -0.021108906
[46]  0.012771801 -0.022524513  0.034487160
> 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/4n4kj1312904952.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/5xa391312904952.tab") 
> 
> try(system("convert tmp/1dbsy1312904952.ps tmp/1dbsy1312904952.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ewtv1312904952.ps tmp/2ewtv1312904952.png",intern=TRUE))
character(0)
> try(system("convert tmp/3paro1312904952.ps tmp/3paro1312904952.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.196   0.276   1.451