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Type 'q()' to quit R. > x <- c(0.527,0.472,0.000,0.052,0.313,0.364,0.363,-0.155,0.052,0.568,0.668,1.378,0.252,-0.402,-0.050,0.555,0.050,0.150,0.450,0.299,0.199,0.496,0.444,-0.393,-0.444,0.198,0.494,0.133,0.388,0.484,0.278,0.369,0.165,0.155,0.087,0.414,0.360,0.975,0.270,0.359,0.169,0.381,0.154,0.486,0.925,0.728,-0.014,0.046,-0.819,-1.674,-0.788,0.279,0.396,-0.141,-0.019,0.099,0.742,0.005,0.448) > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/177qi1260533463.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/21l5w1260533463.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.467080261 0.007075746 -0.116819960 -0.058928197 [6] -0.132417290 -0.048990180 0.004236706 -0.031641895 -0.055397464 [11] 0.045870247 0.040311249 -0.217543082 -0.243178079 -0.089982938 [16] 0.061001982 0.040268233 0.033439161 -0.024349606 -0.006753860 [21] -0.081598983 -0.054111960 -0.023548504 -0.055067862 -0.003361406 [26] 0.179411000 0.234650900 0.026279137 -0.059317595 -0.017537771 [31] 0.014192542 -0.068196340 -0.015892490 0.075312939 0.068145393 [36] 0.065856422 0.102212416 > (mypacf <- c(rpacf$acf)) [1] 0.4670802614 -0.2699904033 0.0070221772 0.0127611018 -0.1861898015 [6] 0.1347888221 -0.0703205110 -0.0678245471 0.0273260149 0.0534410517 [11] -0.0511814426 -0.3022828030 0.0540654682 -0.0322234533 0.0508722055 [16] -0.0328269786 -0.0606447670 -0.0361859327 0.0552039585 -0.1680703303 [21] 0.0005189687 0.0142596595 -0.0964030254 0.0746064543 0.1042332246 [26] 0.0295823252 -0.1200272471 0.0777809187 0.0080740973 -0.0409867994 [31] -0.0156662425 -0.0233134796 0.1041992728 0.0058586127 0.0535076691 [36] -0.0093378065 > 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/3fkwr1260533464.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/47buh1260533464.tab") > > system("convert tmp/177qi1260533463.ps tmp/177qi1260533463.png") > system("convert tmp/21l5w1260533463.ps tmp/21l5w1260533463.png") > > > proc.time() user system elapsed 0.540 0.313 0.680