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Type 'q()' to quit R. > x <- c(14497,14398.3,16629.6,16670.7,16614.8,16869.2,15663.9,16359.9,18447.7,16889,16505,18320.9,15052.1,15699.8,18135.3,16768.7,18883,19021,18101.9,17776.1,21489.9,17065.3,18690,18953.1,16398.9,16895.6,18553,19270,19422.1,17579.4,18637.3,18076.7,20438.6,18075.2,19563,19899.2,19227.5,17789.6,19220.8,21968.9,21131.5,19484.6,22168.7,20866.8,22176.2,23533.8,21479.6,24347.7,22751.6,20328.3,23650.4,23335.7,19614.9,18042.3,17282.5,16847.2,18159.5,16540.9,15952.7,18357.8,16394.3) > par7 = '0.95' > par6 = 'MA' > par5 = '12' > par4 = '0' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1t9v51261046496.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2oq781261046496.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 0.6672760173 0.5780230948 0.6171334800 0.4591657897 [6] 0.4148560129 0.3923768980 0.2001716119 0.1741409400 0.1499517140 [11] 0.0200185812 0.0710196494 0.1601687771 -0.0370439734 -0.0644281382 [16] -0.0481366613 -0.0528222947 -0.0506313189 -0.0548794446 -0.0416394034 [21] -0.0733037536 -0.0753164635 -0.0567768002 -0.0501700330 -0.0009406892 [26] -0.0391927557 -0.1579252442 -0.1078336101 -0.0645810723 -0.1040549748 [31] -0.1110757967 -0.0843804133 -0.2023018734 -0.1870078116 -0.1908792659 [36] -0.2647332018 -0.2054410553 > (mypacf <- c(rpacf$acf)) [1] 0.667276017 0.239328625 0.313677968 -0.134386373 0.033666735 [6] -0.011911124 -0.245873513 -0.003007260 -0.017907101 -0.064825105 [11] 0.148037915 0.272285779 -0.272349001 -0.175682627 -0.094346561 [16] 0.207094123 -0.057715219 0.019575174 0.241928675 -0.174898028 [21] -0.102764975 0.035455072 -0.029412872 -0.064190623 0.081784688 [26] -0.131712213 -0.007058269 -0.008410477 0.159300717 -0.160679344 [31] -0.037191766 -0.107609258 -0.078967633 -0.128636601 -0.060457261 [36] 0.129465176 > 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/3qtpm1261046496.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/4jjpd1261046496.tab") > > try(system("convert tmp/1t9v51261046496.ps tmp/1t9v51261046496.png",intern=TRUE)) character(0) > try(system("convert tmp/2oq781261046496.ps tmp/2oq781261046496.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.548 0.310 1.202