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(104.8,105.6,118.3,89.9,90.2,107,64.5,92.6,95.8,94.3,91.2,86.3,77.6,82.5,97.7,83.3,84.2,92.8,77.4,72.5,88.8,93.4,92.6,90.7,81.6,84.1,88.1,85.3,82.9,84.8,71.2,68.9,94.3,97.6,85.6,91.9,75.8,79.8,99,88.5,86.7,97.9,94.3,72.9,91.8,93.2,86.5,98.9,77.2,79.4,90.4,81.4,85.8,103.6,73.6,75.7,99.2,88.7,94.6,98.7,84.2,87.7,103.3,88.2,93.4,106.3,73.1,78.6,101.6,101.4,98.5,99,89.5,83.5,97.4,87.8,90.4,97.1,79.4,85) > par5 = '12' > par4 = '0' > par3 = '0' > par2 = '1' > par1 = 'Default' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1hrzk1195813683.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/28tdq1195813683.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.086098454 -0.126651984 0.238800553 -0.187974553 [6] -0.001196896 0.400532215 0.034562852 -0.134997381 0.158917131 [11] -0.272763059 -0.093679477 0.448101361 -0.044617091 -0.190525612 [16] 0.090010598 -0.199889954 -0.106404255 0.265783326 -0.055099089 > (mypacf <- c(rpacf$acf)) [1] 0.086098454 -0.135066165 0.269689549 -0.291803714 0.184897938 [6] 0.263152696 0.066407191 -0.167353239 0.113568299 -0.322365685 [11] 0.160301457 0.200481681 -0.029436943 -0.236408545 0.026244297 [16] -0.019843856 0.069783850 -0.084362638 -0.005663837 > 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/3b6ne1195813683.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/4giev1195813683.tab") > > system("convert tmp/1hrzk1195813683.ps tmp/1hrzk1195813683.png") > system("convert tmp/28tdq1195813683.ps tmp/28tdq1195813683.png") > > > proc.time() user system elapsed 0.799 0.297 0.923