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Type 'q()' to quit R. > x <- c(98.5,97.0,103.3,99.6,100.1,102.9,95.9,94.5,107.4,116.0,102.8,99.8,109.6,103.0,111.6,106.3,97.9,108.8,103.9,101.2,122.9,123.9,111.7,120.9,99.6,103.3,119.4,106.5,101.9,124.6,106.5,107.8,127.4,120.1,118.5,127.7,107.7,104.5,118.8,110.3,109.6,119.1,96.5,106.7,126.3,116.2,118.8,115.2,110.0,111.4,129.6,108.1,117.8,122.9,100.6,111.8,127.0,128.6,124.8,118.5,114.7,112.6,128.7,111.0,115.8,126.0,111.1,113.2,120.1,130.6,124.0,119.4,116.7,116.5,119.6,126.5,111.3,123.5,114.2,103.7,129.5) > par5 = '12' > par4 = '1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/freestat/rcomp/tmp/1kque1229080735.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/2fv961229080735.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.009276602 0.080211794 0.251082922 -0.082313934 [6] 0.129195825 0.179609573 -0.112796230 0.110708163 0.245892005 [11] -0.117783041 -0.027621561 -0.115967219 -0.159120569 0.098368173 [16] -0.039412113 -0.096273651 0.153029431 -0.014949632 -0.188451979 [21] 0.006105009 0.011491463 -0.120599417 0.164359952 -0.245191516 [26] -0.080398198 0.056467394 0.015440361 -0.083535578 0.035252235 [31] 0.003778888 0.071275295 0.122685924 -0.181089681 0.021310508 [36] 0.096438902 0.019369744 > (mypacf <- c(rpacf$acf)) [1] 0.0092766016 0.0801326341 0.2512901774 -0.0945329536 0.0971033178 [6] 0.1399943207 -0.0997412891 0.0336273301 0.2353566090 -0.0935060151 [11] -0.1752265529 -0.2015158825 -0.0539478406 0.0802579707 0.0008083100 [16] -0.0041966618 0.1550145215 0.0259738370 -0.2267220238 -0.0458700064 [21] 0.2680816980 -0.0855440834 -0.0630126791 -0.3033015671 0.0084020414 [26] -0.0530929942 0.2518953372 0.0503634847 0.1158338943 -0.0456138633 [31] -0.0149380291 0.0135396017 -0.0002161506 0.0039605278 0.0193941753 [36] -0.0576773782 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/34xds1229080735.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/freestat/rcomp/tmp/4yfmc1229080735.tab") > > system("convert tmp/1kque1229080735.ps tmp/1kque1229080735.png") > system("convert tmp/2fv961229080735.ps tmp/2fv961229080735.png") > > > proc.time() user system elapsed 0.774 0.423 1.053