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Type 'q()' to quit R. > x <- c(31.514,27.071,29.462,26.105,22.397,23.843,21.705,18.089,20.764,25.316,17.704,15.548,28.029,29.383,36.438,32.034,22.679,24.319,18.004,17.537,20.366,22.782,19.169,13.807,29.743,25.591,29.096,26.482,22.405,27.044,17.970,18.730,19.684,19.785,18.479,10.698,31.956,29.506,34.506,27.165,26.736,23.691,18.157,17.328,18.205,20.995,17.382,9.367,31.124,26.551,30.651,25.859,25.100,25.778,20.418,18.688,20.424,24.776,19.814,12.738,31.566,30.111,30.019,31.934,25.826,26.835,20.205,17.789,20.520,22.518,15.572,11.509,25.447,24.090,27.786,26.195,20.516,22.759,19.028,16.971,20.036,22.485,18.730,14.538,27.561,25.985,34.670,32.066,27.186,29.586,21.359,21.553,19.573,24.256,22.380,16.167,27.297,28.287) > par8 = '' > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '1' > par2 = '1' > par1 = '48' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, 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: > #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 (par8 != '') par8 <- as.numeric(par8) > ox <- x > if (par8 == '') { + if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } + } else { + x <- log(x,base=par8) + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/rcomp/tmp/13oc11305837782.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow=c(2,1)) > plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value') > if (par8=='') { + mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='') + mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='') + } else { + mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='') + mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='') + } > plot(x,type='l', main=mytitle,xlab='time',ylab='value') > par(op) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/2h2y91305837782.ps",horizontal=F,onefile=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=mysub) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/3esf11305837782.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub) > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.314607394 -0.031604336 0.010044909 -0.094033120 [6] 0.120931071 -0.335881080 0.124342834 -0.082252229 -0.013798150 [11] -0.026590144 -0.271391416 0.806907551 -0.255444046 -0.032345500 [16] 0.027050933 -0.054345833 0.110463264 -0.312866858 0.111572833 [21] -0.074540523 -0.018415771 -0.035881530 -0.201345869 0.661344705 [26] -0.170456612 -0.031220050 0.004452500 -0.045819070 0.101749878 [31] -0.280347162 0.112143196 -0.069535475 -0.034992257 0.004622837 [36] -0.215181618 0.545802452 -0.128887060 -0.044432345 0.042524826 [41] -0.046978393 0.076233474 -0.213382071 0.096074844 -0.057452983 [46] -0.044546294 0.024057085 -0.188230527 0.417848488 > (mypacf <- c(rpacf$acf)) [1] -0.3146073940 -0.1449266729 -0.0532073378 -0.1276294801 0.0511241691 [6] -0.3414879695 -0.1137877477 -0.2081263764 -0.1622095725 -0.2758610249 [11] -0.6137818352 0.5277985992 0.0996079035 -0.0307983635 -0.0731392308 [16] 0.0561853702 -0.0041191723 -0.0054305731 -0.0627866639 -0.0660986378 [21] -0.0267474613 -0.0739746716 0.0253234506 0.0301115015 0.1502037629 [26] 0.0990980192 -0.0153687878 -0.0816149880 0.0006254928 0.0295639828 [31] 0.0651452943 0.0170340352 -0.0387662826 0.1708047700 -0.0704175811 [36] -0.0333725418 -0.0873175932 -0.0823843028 0.0602692414 0.0024952153 [41] -0.1504014824 0.0385658111 0.0612230704 0.0259648188 0.0152537801 [46] -0.0688614814 0.0767377738 -0.0708924856 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/rcomp/tmp/460k31305837782.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/rcomp/tmp/50xel1305837782.tab") > > try(system("convert tmp/13oc11305837782.ps tmp/13oc11305837782.png",intern=TRUE)) character(0) > try(system("convert tmp/2h2y91305837782.ps tmp/2h2y91305837782.png",intern=TRUE)) character(0) > try(system("convert tmp/3esf11305837782.ps tmp/3esf11305837782.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.900 0.530 1.389