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Type 'q()' to quit R. > x <- c(97.8,107.4,117.5,105.6,97.4,99.5,98.0,104.3,100.6,101.1,103.9,96.9,95.5,108.4,117.0,103.8,100.8,110.6,104.0,112.6,107.3,98.9,109.8,104.9,102.2,123.9,124.9,112.7,121.9,100.6,104.3,120.4,107.5,102.9,125.6,107.5,108.8,128.4,121.1,119.5,128.7,108.7,105.5,119.8,111.3,110.6,120.1,97.5,107.7,127.3,117.2,119.8,116.2,111.0,112.4,130.6,109.1,118.8,123.9,101.6,112.8,128.0,129.6,125.8,119.5,115.7,113.6,129.7,112.0,116.8,127.0,112.1,114.2,121.1,131.6,125.0,120.4,117.7,117.5,120.6,127.5,112.3,124.5,115.2,105.4) > par5 = '12' > par4 = '1' > par3 = '0' > par2 = '1' > par1 = '36' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1a5aw1228839020.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2repp1228839020.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.049446940 0.075337906 0.255943566 -0.079086381 [6] 0.069556983 0.202406548 -0.123561265 0.098288644 0.245896904 [11] -0.142219349 -0.061772024 -0.123248179 -0.217966395 0.067523054 [16] -0.044216298 -0.115136630 0.174872201 -0.003030763 -0.213824370 [21] -0.008930602 -0.005940698 -0.156868216 0.147918556 -0.247278221 [26] -0.096518332 0.046656967 -0.001878646 -0.102246018 0.039662315 [31] -0.021061890 0.070743904 0.142728730 -0.130516902 0.059094337 [36] 0.152310404 0.049651011 > (mypacf <- c(rpacf$acf)) [1] 0.0494469396 0.0730715665 0.2508266542 -0.1109565499 0.0465883190 [6] 0.1579718199 -0.1142278422 0.0581643346 0.2068676751 -0.1202883877 [11] -0.1813801869 -0.2105115172 -0.0805391271 0.0934755454 -0.0169772786 [16] 0.0068098778 0.1751747879 0.0307253601 -0.2252624814 -0.0720644572 [21] 0.2359369050 -0.1060489601 -0.0748466836 -0.3365880505 0.0120413118 [26] -0.0691248051 0.2091168925 0.0736427641 0.1489892763 0.0007671295 [31] -0.0207058577 0.0532524296 0.0145943095 0.0283372540 0.0119499890 [36] -0.0084236515 > 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/3b1n11228839020.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/4k6io1228839020.tab") > > system("convert tmp/1a5aw1228839020.ps tmp/1a5aw1228839020.png") > system("convert tmp/2repp1228839020.ps tmp/2repp1228839020.png") > > > proc.time() user system elapsed 0.560 0.334 0.658