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Type 'q()' to quit R. > x <- c(112,118,132,129,121,135,148,148,136,119,104,118,115,126,141,135,125,149,170,170,158,133,114,140,145,150,178,163,172,178,199,199,184,162,146,166,171,180,193,181,183,218,230,242,209,191,172,194,196,196,236,235,229,243,264,272,237,211,180,201,204,188,235,227,234,264,302,293,259,229,203,229,242,233,267,269,270,315,364,347,312,274,237,278,284,277,317,313,318,374,413,405,355,306,271,306,315,301,356,348,355,422,465,467,404,347,305,336,340,318,362,348,363,435,491,505,404,359,310,337,360,342,406,396,420,472,548,559,463,407,362,405,417,391,419,461,472,535,622,606,508,461,390,432) > par8 = '' > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '1' > par3 = '1' > par2 = '1' > par1 = '36' > 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/1axm21322773939.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=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/2xi7t1322773939.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') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 -0.3098146431 0.0953514582 -0.0968908913 -0.0989950336 [6] 0.0610007066 -0.0002878061 -0.0561084840 -0.0609657722 0.1759169247 [11] -0.1402789101 0.0697353279 -0.1336734341 0.0871772542 0.0024944998 [16] 0.0653321449 -0.1091618542 -0.0003375567 0.0440275903 -0.1139452255 [21] -0.0912714385 0.0419427558 -0.1572964840 0.2576035017 0.0528360493 [26] -0.0510971910 0.0814463109 -0.1019470528 0.0015170898 0.0004832094 [31] -0.0393312260 -0.0929806143 0.1158968309 -0.0990394560 0.0573063179 [36] 0.0099435168 -0.0186464359 > (mypacf <- c(rpacf$acf)) [1] -0.3098146431 -0.0007009341 -0.0747179063 -0.1667606620 -0.0151463087 [6] 0.0182876132 -0.0880859413 -0.1338876177 0.1564054572 -0.0587495457 [11] -0.0524280077 -0.1150129226 0.0599556087 0.0043178695 0.0365866058 [16] -0.0865990397 -0.0278346713 0.0191174371 -0.1137917007 -0.2568830782 [21] 0.0068429339 -0.2245715295 0.0845293606 0.1174913126 0.0400334746 [26] 0.0298425412 -0.0204272297 -0.0547663608 -0.0121734526 -0.0902117348 [31] -0.1224534998 -0.0684055251 -0.0619029681 -0.0505782420 0.0365233055 [36] -0.0212026752 > 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/3wx4t1322773939.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/4c4gd1322773940.tab") > > try(system("convert tmp/1axm21322773939.ps tmp/1axm21322773939.png",intern=TRUE)) character(0) > try(system("convert tmp/2xi7t1322773939.ps tmp/2xi7t1322773939.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.856 0.212 1.050