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Type 'q()' to quit R. > x <- c(145.3,143.6,142.8,155.9,156.2,149.8,152.7,155.5,159.3,143,141.4,142.8,146.4,152.3,164.3,168,171.3,162.7,150.2,142.5,138.2,138,145.1,138.4,131.8,130.8,126.3,123,124,120.8,122.1,106.5,104.3,108.7,113.8,112.5,106.1,98.4,96,99.3,97.5,95.3,88,94.7,99.4,98.9,96.4,95.3,99.5,101.6,103.9,106.6,108.3,102,93.8,91.6,97.7,94.8,98,103.8,97.8,91.2,89.3,87.5,90.4,94.2,102.2,101.3,96,90.8,93.2,90.9,91.1,90.2,94.3,96,99,103.3,113.1,112.8,112.1,107.4,111,110.5,110.8,112.4,111.5,116.2,122.5,121.3,113.9,110.7,120.8,141.1,147.4,148,158.1,165,187,190.3,182.4,168.8,151.2,120.1,112.5,106.2,107.1,108.5,106.5,108.3,125.6,124,127.2,136.9,135.8,124.3,115.4,113.6,114.4,118.4,117,116.5,115.4,113.6,117.4,116.9,116.4,111.1,110.2,118.9,131.8,130.6,138.3,148.4,148.7,144.3,152.5,162.9,167.2,166.5,185.6) > par5 = '12' > par4 = '0' > par3 = '1' > par2 = '0.0' > par1 = '48' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/15um71198165185.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2hl3m1198165185.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.361543026 0.024564883 -0.043699448 0.006266342 [6] -0.078834429 -0.066640676 -0.113010848 -0.007844166 -0.122628593 [11] -0.102093578 0.049026173 0.069687338 0.054732033 0.091499434 [16] 0.013163209 0.001633386 -0.032452811 0.038355249 0.073193103 [21] 0.051444066 -0.022947335 0.086011253 0.001899857 -0.120611986 [26] -0.186221147 -0.010670221 -0.048666817 -0.104133684 -0.130641335 [31] -0.008683953 0.045131778 0.066399414 -0.022558454 0.003031104 [36] -0.008827355 0.075949887 0.002070769 -0.107720901 -0.135188622 [41] 0.012023569 -0.003355419 0.066948498 0.057981805 0.137175700 [46] 0.064230844 -0.032426568 -0.070166398 0.097997208 > (mypacf <- c(rpacf$acf)) [1] 0.361543026 -0.122109867 -0.011114040 0.036021817 -0.115444177 [6] 0.005137343 -0.106689551 0.070417663 -0.179180466 -0.004323629 [11] 0.111057812 -0.046777583 0.071298976 0.040549457 -0.056044337 [16] 0.012662530 -0.038890019 0.096493405 0.011872409 0.039515388 [21] -0.008443296 0.106232525 -0.055658662 -0.129074547 -0.089720785 [26] 0.090556824 -0.113493318 -0.054996296 -0.039703728 -0.010114828 [31] 0.039773241 0.009936258 -0.102078016 -0.037497378 -0.001002239 [36] 0.114683168 -0.097996052 -0.111590520 -0.021605105 0.068865741 [41] -0.013055157 0.077617769 0.040704858 0.110012233 -0.021340020 [46] -0.031619447 0.018471965 0.097401581 > 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/3yh451198165185.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/4p4xm1198165185.tab") > > system("convert tmp/15um71198165185.ps tmp/15um71198165185.png") > system("convert tmp/2hl3m1198165185.ps tmp/2hl3m1198165185.png") > > > proc.time() user system elapsed 1.516 0.543 1.614