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(1322.4,1089.2,1147.3,1196.4,1190.2,1146,1139.8,1045.6,1050.9,1117.3,1120,1052.1,1065.8,1092.5,1422,1367.5,1136.3,1293.7,1154.8,1206.7,1199,1265,1247.1,1116.5,1153.9,1077.4,1132.5,1058.8,1195.1,1263.4,1023.1,1141,1116.3,1135.6,1210.5,1230,1136.5,1068.7,1372.5,1049.9,1302.2,1305.9,1173.5,1277.4,1238.6,1508.6,1423.4,1375.1,1344.1,1287.5,1446.9,1451,1604.4,1501.5,1522.8,1328,1420.5,1648,1631.1,1396.6,1663.4,1283,1582.4,1785.2,1853.6,1994.1,2042.8,1586.1,1942.4,1763.6,1819.9,1836,1449.9,1513.3,1677.7,1494.4,1375.3,1577.7,1537.7,1356.6,1469.6)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1ks891261050488.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2n5251261050488.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.78682949  0.76064172  0.74292677  0.66992794  0.68973087
 [7]  0.67603781  0.58978603  0.53750317  0.48038865  0.43168733  0.44053888
[13]  0.44371371  0.34733698  0.35346816  0.26932324  0.24252826  0.25752360
[19]  0.21318767  0.19078206  0.16154174  0.10162562  0.07563654  0.07373779
[25]  0.04859878  0.01574500 -0.02663640 -0.09690805 -0.07464473 -0.11550851
[31] -0.11626683 -0.13328160 -0.18060632 -0.20578403 -0.23207667 -0.23339520
[37] -0.22552112
> (mypacf <- c(rpacf$acf))
 [1]  0.786829489  0.371597042  0.226763054 -0.034031759  0.173957957
 [6]  0.106642642 -0.164211171 -0.173175352 -0.099422527 -0.030920866
[11]  0.100576653  0.167955160 -0.159909210  0.072914848 -0.134679816
[16] -0.002383228 -0.002688401 -0.031017349  0.002585683 -0.003915562
[21] -0.027048298 -0.064806190  0.002991547 -0.014537077 -0.038082341
[26] -0.134329566 -0.076960359  0.113682545 -0.041794112  0.059564930
[31] -0.058519411 -0.003625257 -0.038104899 -0.090819224 -0.008649650
[36]  0.032394044
> 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/3rbnq1261050488.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/4tqf51261050488.tab") 
> 
> try(system("convert tmp/1ks891261050488.ps tmp/1ks891261050488.png",intern=TRUE))
character(0)
> try(system("convert tmp/2n5251261050488.ps tmp/2n5251261050488.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.528   0.326   0.655