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

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(97.7,101.5,119.6,108.1,117.8,125.5,89.2,92.3,104.6,122.8,96,94.6,93.3,101.1,114.2,104.7,113.3,118.2,83.6,73.9,99.5,97.7,103,106.3,92.2,101.8,122.8,111.8,106.3,121.5,81.9,85.4,110.9,117.3,106.3,105.5,101.3,105.9,126.3,111.9,108.9,127.2,94.2,85.7,116.2,107.2,110.6,112,104.5,112,132.8,110.8,128.7,136.8,94.9,88.8,123.2,125.3,122.7,125.7,116.3,118.7,142,127.9,131.9,152.3,110.8,99.1,135,133.2,131,133.9,119.9,136.9,148.9,145.1,142.4,159.6,120.7,109,142)
> par5 = '12'
> par4 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/16kqu1229453827.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2scl11229453827.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.398389753  0.404925578  0.321920115  0.304861624
 [6]  0.311803046  0.276951633  0.251098921  0.189422844  0.245805217
[11]  0.230296216  0.136456118 -0.156771294  0.037495924 -0.020741262
[16]  0.041983926  0.141354587  0.014630695 -0.004513191  0.050689675
[21]  0.017854516  0.039107837 -0.049164538  0.006445015  0.104726678
[26]  0.048364283  0.158457334  0.079608839 -0.070793695  0.013789542
[31]  0.026168771 -0.064075907 -0.027028398 -0.022733496 -0.004361912
[36] -0.050914957 -0.097159886
> (mypacf <- c(rpacf$acf))
 [1]  0.398389753  0.292660639  0.118586751  0.096385710  0.116818164
 [6]  0.057780848  0.027107122 -0.032458316  0.086974769  0.058399926
[11] -0.090096162 -0.432559855  0.065981528  0.046418636  0.061682819
[16]  0.217584319 -0.005967400 -0.076523006  0.076674614 -0.054585004
[21]  0.107096475 -0.014252768 -0.030075281 -0.002917582 -0.052927303
[26]  0.061996997  0.073461841 -0.124371145 -0.053399405  0.005516606
[31] -0.127105585 -0.051086581  0.125781649 -0.007690768 -0.088367027
[36] -0.088117087
> 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/38gjr1229453827.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/4nc6t1229453828.tab") 
> 
> system("convert tmp/16kqu1229453827.ps tmp/16kqu1229453827.png")
> system("convert tmp/2scl11229453827.ps tmp/2scl11229453827.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.547   0.302   0.640