R version 2.6.0 (2007-10-03)
Copyright (C) 2007 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(2.9,2.6,2.5,3.2,3.1,3.1,2.9,2.5,2.8,3.1,2.6,2.3,2.3,2.6,2.9,2,2.2,2.4,2.3,2.6,1.9,1.1,1.3,1.6,1.7,1.9,1.6,1.8,1.8,1.5,1.6,1,1.5,1.8,1.7,1.2,1.4,1.1,1.3,1.3,1.3,1.3,0.9,1.3,1.8,2.7,2.6,2.9,2.2,2.1,2.3,2.3,2.7,2.6,2.9,3.1,2.8,2.1,2.3,2.2)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1ly8w1198158246.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2dsh81198158246.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.140619776 -0.141173170 -0.116290682 -0.101795623
 [6]  0.185640902  0.110931102 -0.210751592 -0.047472497  0.147634745
[11] -0.058987203  0.263996045 -0.460532436  0.048789397  0.109515685
[16] -0.027877227  0.040030113 -0.089054905 -0.136208312  0.064143864
[21]  0.180536115 -0.036217161  0.176089778 -0.174286396 -0.075124574
[26] -0.044659099 -0.034087496  0.085224298  0.025399048 -0.047241462
[31] -0.047210948  0.079845320 -0.077574636  0.041173737 -0.104168528
[36]  0.009386131  0.128872073 -0.006021300 -0.027759312 -0.033424469
[41] -0.013141542  0.055646783  0.102267065 -0.083098557 -0.009864330
[46]  0.001055569 -0.011534540
> (mypacf <- c(rpacf$acf))
 [1] -0.140619776 -0.164193848 -0.170361641 -0.189133262  0.090171342
 [6]  0.107451611 -0.176020078 -0.068538259  0.159814739 -0.079770063
[11]  0.225440072 -0.411382584  0.120688245 -0.048484772 -0.094435586
[16] -0.054039824 -0.061966885 -0.059343753 -0.138956805  0.083361183
[21]  0.164896612  0.108482738  0.148148960 -0.302810090 -0.041694829
[26] -0.122918470 -0.051385789  0.001357475 -0.093019532 -0.068388133
[31] -0.074657612 -0.024732787  0.027048081 -0.025742060  0.119104367
[36] -0.062252807 -0.004106307 -0.022173637  0.021136217 -0.010043565
[41] -0.085511980 -0.104975028 -0.037987739 -0.047789930  0.124649021
[46]  0.001241999
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 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 1:par1) {
+ 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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3k0uq1198158246.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-1,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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4qrrs1198158246.tab") 
> 
> system("convert tmp/1ly8w1198158246.ps tmp/1ly8w1198158246.png")
> system("convert tmp/2dsh81198158246.ps tmp/2dsh81198158246.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.861   0.315   0.991