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(1.1,1.2,1.1,1.2,1.4,1.5,1.5,1.8,1.6,1.5,1.4,1.4,1.4,1.4,1.5,1.4,1.1,1.1,0.9,0.9,0.9,0.9,1.1,1.3,1,1.1,1.4,1.4,1.3,1.4,1,1.8,1.5,1.5,1.4,1.6,1.6,1.6,1.4,1.7,1.8,1.9,2.2,2.1,2.4,2.6,2.8,2.7,2.6,2.9,2.8,2.2,2.2,2.2,2,2,1.7,1.4,1.3,1.4,1.3,2.5,2.4,2.4,2.1,1.7,1.4,1.2,1.1,0.8,0.5,0.6,0.4,0.4,0.3,0.6,0.7,0.8,0.9,0.7,0.6,0.6,0.6,0.5,0.8,0.9,1,1,1.2,1.3,1.3,1.3,1.3,1.4,1.7,1.8,1.4,1.5,1.7,1.6,1.7,1.8,1.7,2.2,2.7,3,2.8,2.7,2.7,2.5,2,1.8,1.4,1.5,1.6,1.3,1.1,0.8,1.1,1.3,1.5,1.8)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1q97r1261568342.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2l4la1261568342.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.918651348  0.831574036  0.728230775  0.624434684
 [6]  0.528077946  0.438574757  0.346908046  0.283607912  0.228814517
[11]  0.183199918  0.138943809  0.109404681  0.097037161  0.078560028
[16]  0.042339858 -0.004403223 -0.071987274 -0.148602772 -0.220715125
[21] -0.301010767 -0.369672985 -0.428265123 -0.480923748 -0.518631788
[26] -0.549396433 -0.551661526 -0.550756809 -0.553374103 -0.549691308
[31] -0.526497282 -0.526818081 -0.495016688 -0.477946651 -0.453875716
[36] -0.416036587 -0.366988114
> (mypacf <- c(rpacf$acf))
 [1]  0.918651348 -0.079102307 -0.151233296 -0.057551371 -0.005361135
 [6] -0.020127464 -0.088900372  0.112992948  0.001322720 -0.023684347
[11] -0.053266287  0.058081836  0.086875019 -0.102852423 -0.152601963
[16] -0.078602009 -0.138758783 -0.130039779 -0.023058973 -0.090739875
[21] -0.029207751 -0.064978872 -0.082887039 -0.022535517 -0.076691798
[26]  0.074736938 -0.108521357 -0.150843933 -0.056189391  0.101521322
[31] -0.207532280  0.132273555 -0.054525736  0.003643540  0.025466581
[36]  0.051421911
> 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/35gyw1261568342.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/4hbbj1261568342.tab") 
> 
> try(system("convert tmp/1q97r1261568342.ps tmp/1q97r1261568342.png",intern=TRUE))
character(0)
> try(system("convert tmp/2l4la1261568342.ps tmp/2l4la1261568342.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.528   0.319   0.680