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(43.9,51,51.9,54.3,50.3,57.2,48.8,41.1,58,63,53.8,54.7,55.5,56.1,69.6,69.4,57.2,68,53.3,47.9,60.8,61.7,57.8,51.4,50.5,48.1,58.7,54,56.1,60.4,51.2,50.7,56.4,53.3,52.6,47.7,49.5,48.5,55.3,49.8,57.4,64.6,53,41.5,55.9,58.4,53.5,50.6,58.5,49.1,61.1,52.3,58.4,65.5,61.7,45.1,52.1,59.3,57.9,45,64.9,63.8,69.4,71.1,62.9,73.5,62.7,51.9,73.3,66.7,62.5,70.3)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1qpdq1261042434.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/250001261042434.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.33627912  0.14039534  0.31226036  0.17889888  0.14732485
 [7]  0.24471052  0.09487429  0.12783228  0.01270522 -0.11931521 -0.01384931
[13]  0.24125572 -0.03493406 -0.19014497 -0.07999466 -0.03497157 -0.07060887
[19]  0.02091990 -0.05033603 -0.04493681 -0.05688722 -0.19467687 -0.04880976
[25]  0.13342245 -0.07398248 -0.17289412 -0.06561977 -0.12063681 -0.14397563
[31] -0.01854343 -0.01524283 -0.04674216 -0.03112763 -0.15300130 -0.08206859
[37]  0.11074319
> (mypacf <- c(rpacf$acf))
 [1]  0.33627912  0.03079399  0.28908018 -0.01034649  0.08931428  0.11908033
 [7] -0.06781460  0.08876157 -0.18817722 -0.12579672 -0.01501500  0.31231773
[13] -0.16650227 -0.18738196 -0.07582394  0.10834481  0.05094745  0.02288954
[19] -0.08073913 -0.03859432  0.05699376 -0.09944548  0.06426095 -0.02177924
[25] -0.03154713 -0.08186410  0.02937509 -0.12110131 -0.08399516  0.06842961
[31]  0.09291913  0.01164752 -0.01269187 -0.06914382 -0.05221836  0.09338931
> 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/34zyh1261042434.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/4gf3r1261042434.tab") 
> try(system("convert tmp/1qpdq1261042434.ps tmp/1qpdq1261042434.png",intern=TRUE))
character(0)
> try(system("convert tmp/250001261042434.ps tmp/250001261042434.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.546   0.333   0.726