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(1.35,1.91,1.31,1.19,1.3,1.14,1.1,1.02,1.11,1.18,1.24,1.36,1.29,1.73,1.41,1.15,1.31,1.15,1.08,1.1,1.14,1.24,1.33,1.49,1.38,1.96,1.36,1.24,1.35,1.23,1.09,1.08,1.33,1.35,1.38,1.5,1.47,2.09,1.52,1.29,1.52,1.27,1.35,1.29,1.41,1.39,1.45,1.53,1.45,2.11,1.53,1.38,1.54,1.35,1.29,1.33,1.47,1.47,1.54,1.59,1.5,2,1.51,1.4,1.62,1.44,1.29,1.28,1.4,1.39,1.46,1.49)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '1'
> 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/1oh861293203873.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/2k9r71293203874.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/3k9r71293203874.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  0.312918831  0.303151120  0.115592124  0.156505965
 [6]  0.161428907  0.048414777  0.075677587  0.087957850  0.086535101
[11] -0.018118072 -0.013059180 -0.245833717  0.163434043  0.030455181
[16]  0.144774302 -0.040221626  0.079715450  0.098481353 -0.006071857
[21] -0.046220509  0.009579913 -0.003362643 -0.067506561 -0.163862754
[26] -0.316914310 -0.143380743 -0.297807798 -0.176331282 -0.353526050
[31] -0.235212383 -0.165840901 -0.038826401 -0.058658448 -0.069137900
[36]  0.017067454 -0.047696239 -0.036091729 -0.117749273 -0.040004838
[41] -0.010594810  0.035865012 -0.030062257 -0.045363954 -0.082329765
[46] -0.084272325 -0.103104737 -0.086138179  0.022039178
> (mypacf <- c(rpacf$acf))
 [1]  0.312918831  0.227510325 -0.033762198  0.078178856  0.104278340
 [6] -0.077878143  0.022349392  0.077775813  0.009455359 -0.104370782
[11] -0.006019387 -0.275793047  0.351007463  0.031131861  0.032990391
[16] -0.110225849  0.143947098 -0.017793385 -0.064049629 -0.072402472
[21]  0.107206048 -0.147026421 -0.074644275 -0.269858971 -0.021051720
[26] -0.019522505 -0.126954905 -0.186882354 -0.064996270 -0.044856431
[31] -0.006557361  0.129120134  0.152200246 -0.060848845  0.077965172
[36] -0.210984479  0.017068057  0.052104097 -0.064433138  0.031092681
[41]  0.001807860  0.075216974 -0.043865522  0.086771418 -0.032025989
[46] -0.059534329  0.006817460  0.008726042
> 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/4napc1293203874.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/58a601293203874.tab") 
> 
> try(system("convert tmp/1oh861293203873.ps tmp/1oh861293203873.png",intern=TRUE))
character(0)
> try(system("convert tmp/2k9r71293203874.ps tmp/2k9r71293203874.png",intern=TRUE))
character(0)
> try(system("convert tmp/3k9r71293203874.ps tmp/3k9r71293203874.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.900   0.510   1.391