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(16.2,16.7,18.4,16,16.5,18.2,16.8,17.3,18,19.6,23.3,23.7,20.3,22.8,24.3,21.5,23.5,22.2,20.9,22.2,19.5,21.1,22,19.2,17.8,19.2,19.9,19.6,18.1,20.4,18.1,18.6,17.6,19.4,19.3,18.6,16.9,16.4,19,18.7,17.1,21.5,17.8,18.1,19,18.9,16.8,18.1,15.7,15.1,18.3,16.5,16.9,18.4,16.4,15.7,16.9,16.6,16.7,16.6)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1izfk1260984354.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2vts31260984354.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.384921360 -0.213968717  0.347229441 -0.160153979
 [6] -0.056899687  0.244776058 -0.245876987  0.067141265  0.183011056
[11] -0.283995974 -0.074875904  0.422339183 -0.233336247 -0.090317923
[16]  0.031995498  0.032520902 -0.001640060 -0.074182997  0.082510162
[21]  0.033726772 -0.121397981  0.049826424 -0.098184231  0.099756032
[26]  0.150414456 -0.258430939  0.021056832  0.175716243 -0.128513124
[31] -0.049035365  0.243842965 -0.168172396 -0.022336325  0.152581904
[36] -0.231681505  0.125490994
> (mypacf <- c(rpacf$acf))
 [1] -0.384921360 -0.425120989  0.094881971 -0.039021973 -0.002991740
 [6]  0.171657308 -0.088589841  0.034013135  0.099809469 -0.109755659
[11] -0.298142469  0.200397648  0.127976950  0.012500259 -0.310537420
[16]  0.029816274  0.048620017 -0.193703930  0.143099053  0.126291191
[21] -0.171066898 -0.062744331  0.009291807 -0.062203065  0.056105323
[26] -0.008023143  0.103352809 -0.156725966  0.005287303  0.057817439
[31]  0.106292143 -0.069767167  0.025051755  0.144216904 -0.137461829
[36] -0.142143144
> 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/3072j1260984355.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/43muw1260984355.tab") 
> try(system("convert tmp/1izfk1260984354.ps tmp/1izfk1260984354.png",intern=TRUE))
character(0)
> try(system("convert tmp/2vts31260984354.ps tmp/2vts31260984354.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.560   0.330   0.836