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(80,79,78,76,74,73,74,76,77,77,78,80,90,90,89,82,78,76,74,78,81,82,88,99,117,113,106,100,97,96,100,104,104,111,117,118,140,147,134,126,116,114,120,122,117,119,132,134,154,152,132,130,123,129,124,128,128,129,141,138,155,160,142,133,131,140,134,134,134,136,145,137,152,168,160,157,147,161,159,164,163,158,175,163)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/11sls1282047378.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2u12v1282047378.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.040178571 -0.076078869 -0.123697917 -0.225818452
 [6]  0.079799107 -0.224330357 -0.016555060 -0.277529762 -0.002232143
[11]  0.021391369 -0.050595238  0.689360119  0.161458333 -0.053385417
[16] -0.123511905 -0.221726190  0.043340774 -0.134114583 -0.022321429
[21] -0.272321429 -0.061197917  0.120721726 -0.036086310  0.496093750
[26]  0.130208333 -0.083519345 -0.082589286 -0.156994048  0.030877976
[31] -0.125372024  0.015811012 -0.189918155 -0.073474702  0.106212798
[36] -0.014136905  0.313058036  0.130580357 -0.104538690 -0.072916667
[41] -0.059523810  0.052269345 -0.062686012 -0.034412202 -0.085379464
[46] -0.018973214  0.096168155 -0.052083333  0.114397321
> (mypacf <- c(rpacf$acf))
 [1]  0.040178571 -0.077818811 -0.118181966 -0.227272910  0.076653091
 [6] -0.301102231 -0.044174664 -0.439145458 -0.036308681 -0.386252625
[11] -0.230789279  0.509687285  0.179798442 -0.093616121  0.103769116
[16] -0.039608794 -0.084218979 -0.006703663  0.046983940 -0.015131321
[21] -0.125551025 -0.003814055  0.006570535  0.010038688 -0.163355664
[26] -0.125084314 -0.053953257 -0.038142098 -0.092046753 -0.040028675
[31]  0.024140040  0.023860117 -0.034415407 -0.084770403  0.042462965
[36] -0.192589014 -0.090115487 -0.113083493  0.002923135 -0.033552276
[41] -0.002900351  0.028831378 -0.052413700  0.001270518  0.132108983
[46] -0.022721124 -0.072806985 -0.095393238
> 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/3xkjj1282047378.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/4j2h71282047378.tab") 
> 
> try(system("convert tmp/11sls1282047378.ps tmp/11sls1282047378.png",intern=TRUE))
character(0)
> try(system("convert tmp/2u12v1282047378.ps tmp/2u12v1282047378.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.566   0.316   0.848