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Type 'q()' to quit R. > x <- c(2.3,2.3,2.6,3.1,2.8,2.5,2.9,3.1,3.1,3.2,2.5,2.6,2.9,2.6,2.4,1.7,2,2.2,1.9,1.6,1.6,1.2,1.2,1.5,1.6,1.7,1.8,1.8,1.8,1.3,1.3,1.4,1.1,1.5,2.2,2.9,3.1,3.5,3.6,4.4,4.2,5.2,5.8,5.9,5.4,5.5,4.7,3.1,2.6,2.3,1.9,0.6,0.6,-0.4,-1.1,-1.7,-0.8,-1.2,-1,-0.1) > par7 = '0.95' > par6 = 'MA' > par5 = '12' > par4 = '0' > par3 = '1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1tajv1261742201.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/20hbj1261742201.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 0.2653856959 0.2181675258 0.2623077043 0.2696574516 [6] -0.0706159096 0.0268239278 0.0778411289 -0.0886917442 -0.1953103342 [11] -0.1789843777 -0.0714859380 -0.4929387797 -0.2745442497 -0.1114064328 [16] -0.0544634028 -0.1811226645 0.0495608534 -0.0216448965 -0.0184279227 [21] -0.1173494953 -0.0301322591 0.0559369844 -0.0247041718 -0.0475302314 [26] 0.1005634152 -0.0009821406 -0.0737404139 0.0204741108 0.0020650896 [31] -0.0186836499 -0.0119352321 0.1248534201 0.1365983393 0.0711762857 [36] 0.0076894197 0.1474191198 > (mypacf <- c(rpacf$acf)) [1] 0.26538570 0.15893143 0.18920073 0.16405167 -0.25621419 -0.02603533 [7] 0.04906040 -0.11028571 -0.12064036 -0.17066383 0.05964253 -0.41774650 [13] -0.02886089 0.11970616 0.15010060 0.08584332 -0.01428543 -0.13631103 [19] 0.01113696 -0.21063363 -0.17186936 0.01638100 0.03862115 -0.22553426 [25] 0.03110893 -0.04227075 0.12263749 0.06320506 -0.01107019 -0.06803263 [31] -0.01458957 -0.03243442 -0.01104278 0.00967186 -0.01843274 -0.08517610 > 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/3c9871261742201.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/4htby1261742201.tab") > > try(system("convert tmp/1tajv1261742201.ps tmp/1tajv1261742201.png",intern=TRUE)) character(0) > try(system("convert tmp/20hbj1261742201.ps tmp/20hbj1261742201.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.542 0.323 1.141