R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(99.3,98.7,107.9,101.0,97.6,103.0,94.1,94.1,115.1,116.5,103.4,112.5,95.6,97.5,119.3,100.9,97.7,115.3,92.8,99.2,118.7,110.1,110.3,112.9,102.2,99.4,116.1,103.8,101.8,113.7,89.7,99.5,122.9,108.6,114.4,110.5,104.1,103.6,121.6,101.1,116.0,120.1,96.0,105.0,124.7,123.9,123.6,114.8,108.8,106.1,123.2,106.2,115.2,120.6,109.5,114.4,121.4,129.5,124.3,112.6)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '2.0'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1o3491229684233.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2qmpj1229684233.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.514825899 -0.100667838  0.279974513 -0.241501260
 [6]  0.154329788  0.026017343 -0.227725461  0.150319193  0.034350419
[11]  0.021986745 -0.086701198 -0.004840956 -0.015826879  0.127371901
[16] -0.044975762 -0.162826783  0.128728823  0.109208503 -0.203718765
[21]  0.046026991  0.114354810 -0.243067592  0.299650141 -0.104022503
[26] -0.179888783  0.224395285 -0.074649186 -0.001832221  0.021207910
[31] -0.073988358  0.088753634  0.032410988 -0.062999305 -0.038047210
[36]  0.100971577 -0.145706544  0.093010919  0.058797226 -0.184505051
[41]  0.150010211  0.045646437 -0.133372162  0.067283248 -0.005631711
[46] -0.020787956 -0.002697218
> (mypacf <- c(rpacf$acf))
 [1] -0.514825899 -0.497600392 -0.097325014 -0.218777834  0.011919106
 [6]  0.091753312 -0.123218365 -0.174805992 -0.085307915  0.191249058
[11]  0.075230080  0.008574014 -0.196062318 -0.003131005  0.096446433
[16] -0.049795189 -0.083304208  0.111774600 -0.070043088 -0.236172395
[21]  0.076610865 -0.149368845  0.060102445  0.027905928  0.004600273
[26] -0.077456701 -0.044233408  0.052616303  0.031537662  0.115634599
[31]  0.001425077  0.056355403  0.048200182  0.052944538  0.067830967
[36] -0.153698703 -0.119606854 -0.038642977 -0.013731161  0.015957923
[41]  0.043487307  0.012159543  0.030962842 -0.042098506  0.073271126
[46] -0.031321713
> 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/35mgd1229684233.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/4juqd1229684233.tab") 
> 
> system("convert tmp/1o3491229684233.ps tmp/1o3491229684233.png")
> system("convert tmp/2qmpj1229684233.ps tmp/2qmpj1229684233.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.618   0.322   1.013