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Type 'q()' to quit R. > x <- c(0.0213,0.0218,0.0290,0.0263,0.0267,0.0181,0.0133,0.0088,0.0128,0.0126,0.0126,0.0129,0.0110,0.0137,0.0121,0.0174,0.0176,0.0148,0.0104,0.0162,0.0149,0.0179,0.0180,0.0158,0.0186,0.0174,0.0159,0.0126,0.0113,0.0192,0.0261,0.0226,0.0241,0.0226,0.0203,0.0286,0.0255,0.0227,0.0226,0.0257,0.0307,0.0276,0.0251,0.0287,0.0314,0.0311,0.0316,0.0247,0.0257,0.0289,0.0263,0.0238,0.0169,0.0196,0.0219,0.0187,0.0160,0.0163,0.0122,0.0121,0.0149,0.0164,0.0166,0.0177,0.0182,0.0178,0.0128,0.0129,0.0137,0.0112,0.0151,0.0224,0.0294,0.0309,0.0346,0.0364,0.0439,0.0415,0.0521,0.0580,0.0591,0.0539,0.0546,0.0472,0.0314,0.0263,0.0232,0.0193,0.0062,0.0060,-0.0037,-0.0110,-0.0168,-0.0078,-0.0119,-0.0097,-0.0012,0.0026,0.0062,0.0070,0.0166,0.0180,0.0227,0.0246,0.0257,0.0232,0.0291,0.0301,0.0286,0.0310,0.0322,0.0339,0.0352,0.0341,0.0335,0.0367,0.0375,0.0360,0.0355,0.0357) > par8 = '' > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '1' > par3 = '2' > par2 = '1' > par1 = 'Default' > #'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/wessaorg/rcomp/tmp/1hw761324600802.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/wessaorg/rcomp/tmp/20rwj1324600802.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/wessaorg/rcomp/tmp/3jrj51324600802.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 -0.501761392 0.003064965 -0.050953303 0.197349860 [6] -0.160665336 0.034718164 0.066113930 -0.071243082 -0.007861282 [11] -0.096943538 0.493789907 -0.684205308 0.210306548 0.073784920 [16] 0.076151093 -0.188552901 0.116149831 -0.062655779 0.077305092 [21] -0.051536460 > (mypacf <- c(rpacf$acf)) [1] -0.501761392 -0.332381353 -0.324052473 -0.005232248 -0.061912633 [6] -0.045094048 0.083194593 -0.019327013 -0.032113205 -0.236655177 [11] 0.489638337 -0.365484912 -0.355946486 -0.158091076 -0.214358530 [16] 0.011380568 -0.071295242 -0.181789430 0.146720112 0.002400332 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/4mw1n1324600803.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/wessaorg/rcomp/tmp/548l51324600803.tab") > > try(system("convert tmp/1hw761324600802.ps tmp/1hw761324600802.png",intern=TRUE)) character(0) > try(system("convert tmp/20rwj1324600802.ps tmp/20rwj1324600802.png",intern=TRUE)) character(0) > try(system("convert tmp/3jrj51324600802.ps tmp/3jrj51324600802.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.946 0.224 1.167