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Type 'q()' to quit R. > x <- c(88.8,93.4,92.6,90.7,81.6,84.1,88.1,85.3,82.9,84.8,71.2,68.9,94.3,97.6,85.6,91.9,75.8,79.8,99,88.5,86.7,97.9,94.3,72.9,91.8,93.2,86.5,98.9,77.2,79.4,90.4,81.4,85.8,103.6,73.6,75.7,99.2,88.7,94.6,98.7,84.2,87.7,103.3,88.2,93.4,106.3,73.1,78.6,101.6,101.4,98.5,99,89.5,83.5,97.4,87.8,90.4,97.1,79.4,85) > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1kfqa1196511384.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/22pdm1196511384.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.037864793 -0.255508484 0.269673506 -0.217732159 [6] -0.014380695 0.565155804 -0.056108391 -0.223125152 0.181797506 [11] -0.362641657 -0.068920090 0.540288274 -0.141090575 -0.203484673 [16] 0.147517780 -0.254922278 -0.061915052 0.359820747 -0.095492448 [21] -0.055854490 0.098114347 -0.303252424 0.065115461 0.364935057 [26] -0.117816313 -0.093339276 0.091345110 -0.215593957 -0.025086417 [31] 0.236587928 -0.093303754 -0.060175718 -0.066401968 -0.253006008 [36] 0.000250772 0.178672625 > (mypacf <- c(rpacf$acf)) [1] 0.037864793 -0.257311144 0.312703166 -0.396611128 0.353935775 [6] 0.303433113 -0.015948942 -0.094626796 0.012123768 -0.416209588 [11] 0.240636275 0.053809233 0.007366704 -0.071539981 0.008543785 [16] 0.054273129 -0.044762889 -0.090331375 0.102184810 0.068813401 [21] -0.146024605 0.072181540 0.081588852 0.059236682 -0.044728814 [26] -0.113585503 0.054334090 -0.037502722 -0.131138759 0.074689706 [31] -0.039130901 -0.079567078 -0.136131378 0.062095928 -0.172284785 [36] 0.099383460 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > 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 1:par1) { + 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(mytstat,lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/3pd3w1196511384.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-1,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(mytstat,lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/4flqg1196511384.tab") > > system("convert tmp/1kfqa1196511384.ps tmp/1kfqa1196511384.png") > system("convert tmp/22pdm1196511384.ps tmp/22pdm1196511384.png") > > > proc.time() user system elapsed 0.832 0.321 0.958