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Type 'q()' to quit R. > x <- c(7.0,6.9,6.7,6.6,6.5,6.4,6.5,6.5,6.6,6.7,6.8,7.2,7.6,7.6,7.3,6.4,6.1,6.3,7.1,7.5,7.4,7.1,6.8,6.9,7.2,7.4,7.3,6.9,6.9,6.8,7.1,7.2,7.1,7.0,6.9,7.0,7.4,7.5,7.5,7.4,7.3,7.0,6.7,6.5,6.5,6.5,6.6,6.8,6.9,6.9,6.8,6.8,6.5,6.1,6.0,5.9,5.8,5.9,5.9,6.2,6.3,6.2,6.0,5.8,5.5,5.5,5.7,5.8) > par5 = '12' > par4 = '0' > par3 = '1' > par2 = '1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1krhp1229093566.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2q7rv1229093566.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.502234070 -0.118077585 -0.562875990 -0.488637440 [6] -0.067217106 0.215756046 0.173607884 -0.069958717 -0.251897846 [11] -0.067356944 0.200423972 0.381568083 0.184362064 -0.041511368 [16] -0.225839448 -0.220731171 -0.071651262 0.087693671 0.118333863 [21] 0.010713510 -0.068948650 -0.065632086 -0.038649975 0.007443744 [26] 0.019868184 0.066596469 0.067150808 0.035006379 0.040823876 [31] 0.004386801 -0.059112612 -0.130562752 -0.125641111 -0.112320815 [36] -0.014864647 0.058739338 0.090275387 0.073845777 0.034646476 [41] 0.045017912 0.070581583 0.012270674 -0.072841281 -0.201812884 [46] -0.169828907 -0.066475016 0.093952410 0.191408579 0.139517976 [51] 0.013756525 -0.054744753 -0.079647674 -0.033889901 0.005335584 [56] 0.005703286 -0.005724457 -0.008044325 -0.001069680 0.019566780 [61] 0.026093497 > (mypacf <- c(rpacf$acf)) [1] 0.5022340704 -0.4952340081 -0.3995292742 0.0006230579 0.0966344535 [6] -0.1973779198 -0.2385609108 -0.1309370430 -0.1401045822 0.1480599770 [11] -0.0016437621 0.0860547364 -0.1070868670 0.2775992283 0.0377815244 [16] -0.0706846691 0.0131272108 0.1693416115 0.0514065242 -0.1264424524 [21] 0.0966378441 -0.0674802186 -0.1178316723 -0.1551484229 -0.0096177098 [26] -0.0347043664 -0.0052963593 -0.0330132476 0.0989265011 0.0352560503 [31] -0.0466591744 -0.0679979146 -0.0323264055 -0.1207102243 0.0568230914 [36] -0.0858975912 -0.1664063230 -0.0455222813 0.0331124238 -0.0049906480 [41] -0.0867767365 0.0154442332 0.0203926232 -0.1221091407 0.0167185830 [46] 0.0663718080 -0.0580308045 0.0356269187 0.0849309589 0.0006968164 [51] 0.0242076413 -0.0513195910 -0.0636699432 0.0109976163 -0.0324490110 [56] 0.0372228102 -0.0443420184 -0.0026987487 -0.0174408307 0.0550989271 > 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/3coaw1229093566.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/4aduy1229093566.tab") > > system("convert tmp/1krhp1229093566.ps tmp/1krhp1229093566.png") > system("convert tmp/2q7rv1229093566.ps tmp/2q7rv1229093566.png") > > > proc.time() user system elapsed 0.577 0.290 0.704