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Type 'q()' to quit R. > x <- c(7.6,7.4,7.3,7.1,6.9,6.8,7.5,7.6,7.8,8,8.1,8.2,8.3,8.2,8,7.9,7.6,7.6,8.2,8.3,8.4,8.4,8.4,8.6,8.9,8.8,8.3,7.5,7.2,7.5,8.8,9.3,9.3,8.7,8.2,8.3,8.5,8.6,8.6,8.2,8.1,8,8.6,8.7,8.8,8.5,8.4,8.5,8.7,8.7,8.6,8.5,8.3,8.1,8.2,8.1,8.1,7.9,7.9,7.9,8,8,7.9,8,7.7,7.2,7.5,7.3,7,7,7,7.2,7.3,7.1,6.8,6.6,6.2,6.2,6.8,6.9,6.8,6.7) > par5 = '12' > par4 = '1' > par3 = '1' > par2 = '2.0' > par1 = '60' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1mafx1229173187.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2s6xd1229173187.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.476129778 -0.104949400 -0.566695847 -0.612885574 [6] -0.213625685 0.182787036 0.340769050 0.294525597 0.088340673 [11] -0.078746618 -0.155541393 -0.223281158 -0.051923369 0.076368558 [16] 0.147405294 0.100283751 -0.066954193 -0.103569003 -0.084724578 [21] 0.092678931 0.156739174 0.060974211 -0.067636395 -0.212524686 [26] -0.090800619 0.044313327 0.088818344 0.015691806 -0.082546651 [31] -0.140750868 0.068402330 0.180313620 0.173611741 0.051427288 [36] -0.125374804 -0.182257490 -0.158132021 0.007044590 0.106383511 [41] 0.152756067 0.127808096 0.026679420 -0.096534255 -0.175218673 [46] -0.120456762 0.003703847 0.101250380 0.129485860 0.078590997 [51] -0.042160864 -0.067612694 -0.049823862 -0.013602281 0.039635579 [56] 0.006687495 -0.001341477 -0.019546418 -0.017167459 -0.005259617 [61] 0.004390474 > (mypacf <- c(rpacf$acf)) [1] 0.476129778 -0.428874667 -0.461277099 -0.265509359 0.034580614 [6] -0.112974477 -0.199672889 0.007362728 0.041559649 0.027519238 [11] -0.013743046 -0.166558253 0.195325383 0.046389821 -0.052395710 [16] -0.094127309 -0.063453478 0.109287833 -0.092700294 0.143101006 [21] -0.002866922 -0.034320500 0.046844090 -0.183730002 0.239004290 [26] -0.098326952 -0.168697887 -0.207801098 -0.123467140 -0.090428942 [31] 0.029811587 0.046963786 -0.058316866 0.064573061 0.163041612 [36] -0.103527317 0.061616882 0.151014767 -0.035218336 -0.036423196 [41] -0.038232337 0.049523104 -0.011479931 -0.011748647 0.004973693 [46] -0.030250689 0.002513354 -0.078101672 0.033343619 0.043542532 [51] -0.071015983 -0.116827744 -0.080256233 -0.034879421 0.032515995 [56] -0.048566408 -0.023364716 0.003364808 0.048778628 0.001325925 > 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/3v9651229173187.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/4yit51229173187.tab") > > system("convert tmp/1mafx1229173187.ps tmp/1mafx1229173187.png") > system("convert tmp/2s6xd1229173187.ps tmp/2s6xd1229173187.png") > > > proc.time() user system elapsed 1.541 0.562 1.648