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Type 'q()' to quit R. > x <- c(106.8,114.3,105.7,90.1,91.6,97.7,100.8,104.6,95.9,102.7,104,107.9,113.8,113.8,123.1,125.1,137.6,134,140.3,152.1,150.6,167.3,153.2,142,154.4,158.5,180.9,181.3,172.4,192,199.3,215.4,214.3,201.5,190.5,196,215.7,209.4,214.1,237.8,239,237.8,251.5,248.8,215.4,201.2,203.1,214.2) > par5 = '12' > par4 = '1' > par3 = '1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/16cqt1198163184.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2e4ss1198163184.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 0.0333730102 -0.3586071878 -0.0511153398 -0.0828978626 [6] 0.2568243477 0.0659440958 -0.1619603057 -0.1358404702 -0.1832339093 [11] 0.3586031793 0.2686647044 -0.2390417102 -0.0790696807 -0.0856250407 [16] 0.1117113049 0.1396369181 -0.1250488955 -0.1495234050 -0.0630958273 [21] 0.1222612000 0.1969608263 -0.0350328113 -0.1391129726 -0.0235504925 [26] 0.0205316397 -0.0120019219 -0.0128145357 -0.0435250607 -0.1498408009 [31] -0.0518063623 0.0694005998 0.0453525512 -0.0007729185 -0.0057468660 > (mypacf <- c(rpacf$acf)) [1] 0.033373010 -0.360122034 -0.026248924 -0.240462055 0.291056059 [6] -0.119381156 0.077787500 -0.239596777 -0.138079144 0.287408691 [11] 0.073244380 0.005490697 0.023889387 -0.061320414 0.066253185 [16] -0.117806281 0.043990667 -0.193201749 0.162708395 -0.093876808 [21] 0.092187792 -0.006673505 -0.028611290 0.079762956 -0.135373442 [26] -0.110984880 -0.028729370 0.011616195 -0.121319035 -0.179658060 [31] -0.030588075 -0.138127775 0.110268393 -0.049019099 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > 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 1:par1) { + 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(mytstat,lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/3ksi91198163184.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-1,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(mytstat,lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/4bur01198163184.tab") > > system("convert tmp/16cqt1198163184.ps tmp/16cqt1198163184.png") > system("convert tmp/2e4ss1198163184.ps tmp/2e4ss1198163184.png") > > > proc.time() user system elapsed 1.470 0.555 1.563