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Type 'q()' to quit R. > x <- c(116222,110924,103753,99983,93302,91496,119321,139261,133739,123913,113438,109416,109406,105645,101328,97686,93093,91382,122257,139183,139887,131822,116805,113706,113012,110452,107005,102841,98173,98181,137277,147579,146571,138920,130340,128140,127059,122860,117702,113537,108366,111078,150739,159129,157928,147768,137507,136919,136151,133001,125554,119647,114158,116193,152803,161761,160942,149470,139208,134588,130322,126611,122401,117352,112135,112879,148729,157230,157221,146681,136524,132111) > par7 = '0.95' > par6 = 'MA' > par5 = '12' > par4 = '2' > par3 = '2' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1hhs81259871730.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/24woc1259871730.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.289179231 -0.232614928 -0.200445994 0.222138536 [6] 0.032699606 -0.010640519 0.047015546 -0.176763586 0.173464497 [11] 0.004736774 0.056025188 -0.350930884 0.127844634 0.234066268 [16] 0.020099562 -0.202053028 -0.006742388 0.031269409 0.134548591 [21] -0.207916258 0.066953591 0.089074980 -0.008665833 -0.011746798 [26] -0.052591092 -0.047032998 -0.052871281 0.250334572 -0.070895728 [31] -0.068618635 -0.093260866 0.116763188 0.019888644 -0.064286696 [36] 0.040209498 -0.041216091 > (mypacf <- c(rpacf$acf)) [1] -0.28917923 -0.34509827 -0.48402175 -0.24809009 -0.28784122 -0.27789722 [7] -0.06237935 -0.31393954 -0.01345066 0.08360347 0.28888181 -0.02729749 [13] -0.07918613 0.07274235 0.03655795 -0.05703066 0.08170854 -0.04035644 [19] 0.30678510 -0.20585464 -0.05187164 0.08998209 -0.07693998 -0.00734416 [25] -0.01672065 -0.04390041 -0.03161505 -0.10990245 0.03749798 -0.03134719 [31] 0.03136082 -0.11506353 -0.08133584 0.07896200 0.03949864 -0.06812267 > 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/3oi4e1259871730.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/4kdc91259871730.tab") > > system("convert tmp/1hhs81259871730.ps tmp/1hhs81259871730.png") > system("convert tmp/24woc1259871730.ps tmp/24woc1259871730.png") > > > proc.time() user system elapsed 0.558 0.327 0.662