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Type 'q()' to quit R. > x <- c(2.17,2.18,2.18,2.18,2.17,2.17,2.18,2.17,2.18,2.17,2.17,2.17,2.17,2.17,2.17,2.17,2.17,2.17,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.19,2.19,2.19,2.20,2.20,2.21,2.21,2.21,2.20,2.21,2.20,2.21,2.21,2.22,2.22,2.23,2.24,2.24,2.25,2.25,2.32,2.36,2.37,2.37,2.37,2.38,2.38,2.41,2.42,2.43,2.44,2.44,2.44,2.43,2.43,2.43,2.42,2.42,2.42,2.42,2.42) > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '0' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1i7uj1272789171.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2i7uj1272789171.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.969628730 0.936036030 0.898629820 0.860134036 [6] 0.818594634 0.771790848 0.724080977 0.670467355 0.614088182 [11] 0.553712013 0.492382467 0.432367598 0.374620782 0.319686808 [16] 0.271148407 0.221929021 0.174432902 0.126119603 0.077989792 [21] 0.032264231 -0.005070097 -0.026800440 -0.048939373 -0.068946449 [26] -0.089362115 -0.107918317 -0.124751252 -0.141584187 -0.156693855 [31] -0.171939719 -0.185189923 -0.199298923 -0.211412262 -0.226066050 [36] -0.240536349 -0.255006649 -0.266072030 -0.277001215 -0.285662345 [41] -0.295596536 -0.304393864 -0.312604788 -0.318589274 -0.325254744 [46] -0.330238562 -0.335767167 -0.340567498 -0.343277587 > (mypacf <- c(rpacf$acf)) [1] 0.969628730 -0.069271760 -0.078633304 -0.032002405 -0.067089665 [6] -0.106321757 -0.029725906 -0.118734680 -0.070622788 -0.088033689 [11] -0.044459562 -0.008419380 0.011235244 0.011756806 0.082763881 [16] -0.051913189 -0.011420873 -0.058032225 -0.057987058 -0.027289643 [21] 0.087765939 0.200630863 -0.061380383 -0.025967126 -0.047470023 [26] -0.032395654 -0.031137716 -0.045137430 -0.046963955 -0.070093471 [31] -0.034076218 -0.052484530 0.019661068 -0.051859408 0.013482947 [36] 0.010897177 0.018816114 -0.034823886 -0.007998405 -0.069574408 [41] 0.005773375 0.027996821 0.063799422 -0.074636663 -0.001209952 [46] -0.072604616 -0.011439104 -0.010880413 > 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/3ehsa1272789171.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/4689v1272789171.tab") > > try(system("convert tmp/1i7uj1272789171.ps tmp/1i7uj1272789171.png",intern=TRUE)) character(0) > try(system("convert tmp/2i7uj1272789171.ps tmp/2i7uj1272789171.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.579 0.321 0.729