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Type 'q()' to quit R. > x <- c(145.9,158.5,152.2,153.7,157.9,154.4,150.7,151.2,147.3,146.6,145.2,139.3,145.7,163.3,181.8,188.1,222.9,206.3,184.9,183.6,186.6,176.5,173.9,184.9,182.5,183.6,172.4,168.9,163.3,152.4,145.8,148.6,143.4,141.2,144.6,144.5,140.8,133.3,127.3,119.6,120.2,121.9,112.4,111,107.8,110.5,118.3,123,112.1,104.2,102.4,100.3,102.6,101.5,103.4,99.4,97.9,98,90.2,87.1,91.8,94.8,91.8,89.3,91.7,86.2,82.8,82.3,79.8,79.4,85.3,87.5,88.3,88.6,94.9,94.7,92.6,91.8,96.4,96.4,107.1,111.9,107.8,109.2,115.3,119.2,107.8,106.8,104.2,94.8,97.5,98.3,100.6,94.9,93.6,98,104.3,103.9,105.3,102.6,103.3,107.9,107.8,109.8,110.6,110.8,119.3,128.1,127.6,137.9,151.4,143.6,143.4,141.9,135.2,133.1,129.6,134.1,136.8,143.5,162.5,163.1,157.2,158.8,155.4,148.5,154.2,153.3,149.4,147.9,156,163,159.1,159.5,157.3,156.4,156.6,162.4,166.8,162.6,168.1) > par5 = '12' > par4 = '0' > par3 = '1' > par2 = '0.1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1qk8t1197585213.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/23yst1197585213.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.194733690 -0.060453659 0.127289223 -0.027527500 [6] -0.209693989 -0.027975724 0.089587649 -0.084831593 0.033196983 [11] 0.200754224 0.203789835 -0.009512672 0.001842874 0.007346970 [16] -0.056112949 -0.078156658 -0.031211226 0.013203322 -0.026977007 [21] 0.071744356 0.039679362 -0.011422857 -0.011871023 0.060975842 [26] -0.001765052 -0.030169166 0.057625318 0.005728504 -0.003424673 [31] 0.089298464 0.055158153 -0.050766288 -0.006066795 -0.023644490 [36] -0.044743934 0.013978424 0.018751488 0.017248292 0.063348350 [41] 0.086007206 -0.089729647 -0.161934520 -0.127951980 -0.089616343 [46] -0.014010653 0.071653905 0.015849588 -0.043908182 > (mypacf <- c(rpacf$acf)) [1] 0.194733690 -0.102252403 0.168250010 -0.106119734 -0.165106277 [6] 0.027280819 0.076275728 -0.078435092 0.076778354 0.117954469 [11] 0.193145928 -0.067552300 -0.022709843 -0.027435961 0.045883833 [16] -0.035979495 -0.044165820 0.009659459 0.003941111 0.048798044 [21] -0.073761565 -0.035766994 0.011588789 0.086702336 -0.014325059 [26] -0.006805766 0.060270335 0.016933099 0.016764584 0.062048738 [31] -0.008769963 -0.003050138 -0.006388644 -0.065265690 -0.010689790 [36] 0.033919332 -0.013004070 0.004276143 0.051623993 0.041568046 [41] -0.146015726 -0.157678300 -0.093098943 0.011572747 0.075172510 [46] 0.052059135 -0.068429494 -0.057459351 > 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/3bh8e1197585213.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/47g451197585213.tab") > > system("convert tmp/1qk8t1197585213.ps tmp/1qk8t1197585213.png") > system("convert tmp/23yst1197585213.ps tmp/23yst1197585213.png") > > > proc.time() user system elapsed 1.533 0.546 1.618