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(283.042,276.687,277.915,277.128,277.103,275.037,270.150,267.140,264.993,287.259,291.186,292.300,288.186,281.477,282.656,280.190,280.408,276.836,275.216,274.352,271.311,289.802,290.726,292.300,278.506,269.826,265.861,269.034,264.176,255.198,253.353,246.057,235.372,258.556,260.993,254.663,250.643,243.422,247.105,248.541,245.039,237.080,237.085,225.554,226.839,247.934,248.333,246.969,245.098,246.263,255.765,264.319,268.347,273.046,273.963,267.430,271.993,292.710,295.881,293.299)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1otrt1259874504.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2s5oh1259874504.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.88031676  0.73970835  0.63290478  0.58135185  0.56050091
 [7]  0.50763303  0.41503864  0.30730432  0.24149606  0.20104571  0.21072617
[13]  0.19625879  0.06059675 -0.06696949 -0.16144711 -0.19235350 -0.19062584
[19] -0.21602061 -0.26546917 -0.33284301 -0.35794746 -0.35684256 -0.31541381
[25] -0.30260997 -0.36466277 -0.41381518 -0.42464365 -0.38355594 -0.33449596
[31] -0.29819819 -0.28065025 -0.27543212 -0.23180054 -0.17846443 -0.11753781
[37] -0.08053107
> (mypacf <- c(rpacf$acf))
 [1]  0.880316764 -0.156633833  0.080256717  0.158769105  0.082273276
 [6] -0.135661662 -0.129814511 -0.089229401  0.077584578 -0.042902553
[11]  0.190233441 -0.086686323 -0.503969283  0.078923941 -0.031709396
[16] -0.013527055  0.046112258 -0.042318179  0.053416468 -0.157757660
[21]  0.039116817  0.023844450 -0.085442236 -0.005490652 -0.092092525
[26]  0.007982883  0.071056168 -0.087626622 -0.004572791  0.069424235
[31]  0.010168170  0.006349658  0.046069009 -0.013622773 -0.130146309
[36]  0.046274143
> 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/3wze41259874504.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/4bkp51259874504.tab") 
> system("convert tmp/1otrt1259874504.ps tmp/1otrt1259874504.png")
> system("convert tmp/2s5oh1259874504.ps tmp/2s5oh1259874504.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.526   0.313   0.647