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Type 'q()' to quit R. > x <- c(7.3,7.1,7.1,6.8,6.5,6.3,6.1,6.1,6.3,6.3,6,6.2,6.4,6.8,7.5,7.5,7.6,7.6,7.4,7.3,7.1,6.9,6.8,7.5,7.6,7.8,8,8.1,8.2,8.3,8.2,8,7.9,7.6,7.6,8.2,8.3,8.4,8.4,8.4,8.6,8.9,8.8,8.3,7.5,7.2,7.5,8.8,9.3,9.3,8.7,8.2,8.3,8.5,8.6,8.6,8.2,8.1,8,8.6,8.7,8.8,8.5,8.4,8.5,8.7,8.7,8.6,8.5,8.3,8.1,8.2,8.1,8.1,7.9,7.9,7.9,8,8,7.9,8,7.7,7.2,7.5,7.3,7,7,7,7.2,7.3,7.1,6.8,6.6,6.2,6.2,6.8,6.9) > par5 = '12' > par4 = '1' > par3 = '2' > par2 = '1' > par1 = '60' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/14k6p1228949281.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/20nej1228949281.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 -0.0060181964 -0.0928017221 -0.3863955595 -0.3181719146 [6] 0.0797239818 0.1596129525 0.1511637512 0.0640654190 0.0405230000 [11] -0.1380790573 0.0622933161 -0.2148081641 0.0555036966 0.0360537607 [16] 0.0739510562 0.0522799864 -0.1583098984 0.1292113784 -0.1162695484 [21] 0.1364131541 -0.0653621517 -0.0405817892 0.0361940961 -0.0523558433 [26] 0.0636659057 0.0681762343 -0.0001561389 -0.0624197444 -0.0262363947 [31] -0.2147898320 0.0569211682 0.1160678954 0.1828924007 0.1245638751 [36] -0.1337716461 -0.1497412224 -0.2207669392 0.1117541628 0.0639541622 [41] 0.1017989900 0.1162082307 -0.0728174161 -0.0061503139 -0.1642724664 [46] 0.0071202295 0.0260941629 0.1031323868 -0.0536430938 0.0480199858 [51] -0.0901469392 0.0419998930 0.0314694716 -0.0161731258 0.0304338133 [56] -0.0712855269 0.0696758843 -0.0276886341 0.0000474106 -0.0131238866 [61] -0.0116741758 > (mypacf <- c(rpacf$acf)) [1] -0.006018196 -0.092841303 -0.390948468 -0.411924400 -0.111293928 [6] -0.119775953 -0.190553592 -0.105616661 0.104640343 -0.065728542 [11] 0.162047149 -0.112305733 0.067800160 0.047392352 0.040249247 [16] -0.042097529 -0.179255119 0.189649710 -0.125131163 0.051955790 [21] -0.014919258 -0.030484835 0.129847931 -0.111773708 0.069346485 [26] 0.120027533 0.042101659 0.048917213 -0.101271626 -0.114259568 [31] -0.204591792 0.013299281 0.010405917 -0.028868293 0.161708805 [36] -0.014340206 -0.012758987 0.142588367 -0.019154923 -0.095767765 [41] 0.053071820 -0.012668165 -0.054022952 -0.171717414 0.142467411 [46] -0.022476390 0.032733722 -0.049910985 0.005765418 0.079089268 [51] 0.022684645 -0.061148182 0.056933989 -0.035498349 0.082467564 [56] -0.037065671 0.040564224 -0.026538705 0.025698692 0.010907206 > 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/396wn1228949281.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/4pzwm1228949281.tab") > > system("convert tmp/14k6p1228949281.ps tmp/14k6p1228949281.png") > system("convert tmp/20nej1228949281.ps tmp/20nej1228949281.png") > > > proc.time() user system elapsed 0.604 0.342 0.712