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Type 'q()' to quit R. > x <- c(-3.8635761256955E-14 + ,-3.8635761256955E-14 + ,-3.8635761256955E-14 + ,-3.8635761256955E-14 + ,-3.8635761256955E-14 + ,-3.8635761256955E-14 + ,-0.024154942035039 + ,0.024154942035005 + ,-3.8635761256955E-14 + ,-0.024154942035039 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,4.8849813083507E-15 + ,0.024154942035005 + ,-3.8635761256955E-14 + ,-3.8635761256955E-14 + ,-0.010814569746239 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,0.024170360927819 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,0.024170360927819 + ,-0.024170360927795 + ,0.024170360927819 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,0.024170360927819 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,0.024170360927819 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,1.8651746813703E-14 + ,0.024170360927819 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,5.7731597280508E-15 + ,-0.024170360927795 + ,0.024170360927819 + ,-0.00066357003099426 + ,-9.7699626167014E-15 + ,-9.7699626167014E-15 + ,-9.7699626167014E-15 + ,0.02393949379279 + ,-1.4654943925052E-14 + ,-0.023939493792815 + ,0.02393949379279 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-0.023939493792815 + ,-9.7699626167014E-15 + ,-9.7699626167014E-15 + ,-9.7699626167014E-15 + ,-9.7699626167014E-15 + ,-9.7699626167014E-15 + ,-9.7699626167014E-15 + ,0.02393949379279 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-0.023939493792815 + ,-9.7699626167014E-15 + ,-9.7699626167014E-15 + ,-9.7699626167014E-15 + ,0.02393949379279 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14 + ,-1.4654943925052E-14) > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '0' > par2 = '1' > par1 = 'Default' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/rcomp/tmp/1kpb91290437786.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/2dyau1290437786.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.00000000 -0.25013369 -0.11268364 0.01225667 -0.09168647 -0.02275329 [7] -0.03248393 0.06769185 -0.11420889 0.05505700 0.04554805 -0.10075886 [13] 0.05469331 0.02117893 0.03578966 -0.09066795 0.07799888 0.04431510 [19] -0.16908079 0.05447366 0.02202322 0.02245765 -0.04549239 0.04528132 > (mypacf <- c(rpacf$acf)) [1] -0.25013369 -0.18694720 -0.07512169 -0.14478656 -0.11249748 -0.12662764 [7] -0.01378059 -0.16268050 -0.04929610 -0.02030217 -0.12189773 -0.04571219 [13] -0.02491629 0.02267923 -0.09513020 0.01888776 0.05551742 -0.12711410 [19] -0.05897337 -0.01552717 0.02217612 -0.06742135 -0.00914469 > 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/3yzri1290437786.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/420861290437786.tab") > > try(system("convert tmp/1kpb91290437786.ps tmp/1kpb91290437786.png",intern=TRUE)) character(0) > try(system("convert tmp/2dyau1290437786.ps tmp/2dyau1290437786.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.800 0.520 1.256