R version 2.9.0 (2009-04-17) Copyright (C) 2009 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(3.75,3.75,3.55,3.5,3.5,3.1,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3.21,3.25,3.25,3.45,3.5,3.5,3.64,3.75,3.93,4,4.17,4.25,4.39,4.5,4.5,4.65,4.75,4.75,4.9,5,5,5,5,5,5,5,5,5,5,5,5,5.18,5.25,5.25,4.49,3.92,3.25) > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1kc7d1259322446.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2sg7k1259322446.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 0.9784075045 0.9433844761 0.9017894514 0.8657012998 [6] 0.8292444900 0.7914356845 0.7487522879 0.7032053140 0.6550358852 [11] 0.6045847612 0.5519635359 0.4980589815 0.4417870438 0.3836997137 [16] 0.3251341243 0.2663194416 0.2094177959 0.1552262860 0.1024029628 [21] 0.0503426127 0.0008389568 -0.0467644488 -0.0930568761 -0.1358221414 [26] -0.1750322631 -0.2123046046 -0.2448189307 -0.2746474492 -0.3002230306 [31] -0.3244848936 -0.3456619014 -0.3651980482 -0.3814800393 -0.3924388222 [36] -0.4012989105 -0.4066550025 > (mypacf <- c(rpacf$acf)) [1] 0.978407504 -0.325308373 -0.083909466 0.192937589 -0.128181175 [6] -0.075559524 -0.070493092 -0.050085343 -0.058619588 -0.084203219 [11] -0.053381152 -0.038662012 -0.092423570 -0.059235727 -0.016859871 [16] -0.060297358 0.005770831 0.012488169 -0.055306135 -0.023497858 [21] 0.036971774 -0.038385324 -0.052091308 0.054524091 -0.001476068 [26] -0.070607951 0.078574919 -0.030893125 0.002216552 -0.047719438 [31] 0.003951353 -0.018514626 -0.025521770 0.074376054 -0.078405966 [36] 0.015433116 > 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/34yzn1259322446.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/4teva1259322446.tab") > > system("convert tmp/1kc7d1259322446.ps tmp/1kc7d1259322446.png") > system("convert tmp/2sg7k1259322446.ps tmp/2sg7k1259322446.png") > > > proc.time() user system elapsed 0.540 0.312 0.641