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(160.90,193.70,201.40,176.60,172.00,200.10,172.00,136.10,182.60,208.70,142.30,188.80,143.90,149.70,196.90,231.50,219.20,220.70,244.20,182.50,229.80,238.10,206.50,249.30,181.80,218.00,246.40,214.30,242.30,220.70,204.50,180.70,233.00,236.50,239.40,208.70,209.00,247.20,284.30,245.80,249.10,251.40,251.20,207.20,228.30,254.30,217.90,244.40,233.20,212.60,239.50,335.50,248.80,264.60,275.40,180.70,256.10,247.40,227.80,248.10)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1sdkj1259348488.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/29fvz1259348488.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.44978195  0.38868801  0.50910606  0.27589165  0.37146783
 [7]  0.44099728  0.29925299  0.16040432  0.22416007  0.15522151  0.15126621
[13]  0.29858372  0.15153153  0.08177863  0.03013819  0.01269345  0.07810612
[19]  0.07188181  0.11091500 -0.02755705 -0.02629805 -0.02124468 -0.02209346
[25]  0.06159582 -0.03308037 -0.13891618 -0.13593597 -0.11066574 -0.13817784
[31] -0.07254924 -0.07044097 -0.22688858 -0.07686133 -0.18690186 -0.18283795
[37] -0.01668475
> (mypacf <- c(rpacf$acf))
 [1]  0.449781949  0.233653119  0.358068977 -0.092623943  0.187280255
 [6]  0.161942517  0.029801411 -0.265609774  0.008318015 -0.025978776
[11]  0.072430094  0.139115716 -0.022740935 -0.058919925 -0.205780910
[16] -0.008755987  0.061510876  0.022431163  0.092957432 -0.081513354
[21]  0.025091203 -0.076100242  0.010231412  0.006791696 -0.077469968
[26] -0.181362518  0.003588487  0.076107577 -0.036070577 -0.005304898
[31] -0.012713101 -0.069982985  0.160714215 -0.166322864  0.016498872
[36]  0.008836239
> 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/3dcza1259348488.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/4qzum1259348488.tab") 
> 
> system("convert tmp/1sdkj1259348488.ps tmp/1sdkj1259348488.png")
> system("convert tmp/29fvz1259348488.ps tmp/29fvz1259348488.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.533   0.305   0.638