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Type 'q()' to quit R. > x <- c(6.4,6.8,7.5,7.5,7.6,7.6,7.4,7.3,7.1,6.9,6.8,7.5,7.6,7.8,8,8.1,8.2,8.3,8.2,8,7.9,7.6,7.6,8.2,8.3,8.4,8.4,8.4,8.6,8.9,8.8,8.3,7.5,7.2,7.5,8.8,9.3,9.3,8.7,8.2,8.3,8.5,8.6,8.6,8.2,8.1,8,8.6,8.7,8.8,8.5,8.4,8.5,8.7,8.7,8.6,8.5,8.3,8.1,8.2,8.1,8.1,7.9,7.9,7.9,8,8,7.9,8,7.7,7.2,7.5,7.3,7,7,7,7.2,7.3,7.1,6.8,6.6,6.2,6.2,6.8) > par5 = '12' > par4 = '1' > par3 = '1' > par2 = '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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1uqzt1229175494.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/22hd21229175494.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.433231860 -0.140579657 -0.552101146 -0.577140602 [6] -0.171045677 0.163339702 0.312789933 0.260188283 0.086945552 [11] -0.095865540 -0.127948373 -0.182304223 -0.056509106 0.072315992 [16] 0.131690740 0.063992342 -0.069249325 -0.014658758 -0.044854498 [21] 0.081711404 0.060313240 -0.026761087 -0.073329355 -0.138635663 [26] 0.007678272 0.095997311 0.106440525 -0.019252769 -0.152361543 [31] -0.190743547 0.027386250 0.200730804 0.229646270 0.097919593 [36] -0.140733514 -0.197215667 -0.158466053 0.028726045 0.095383378 [41] 0.132857211 0.116987434 -0.030845984 -0.099793584 -0.180196638 [46] -0.069737477 0.078968549 0.153572937 0.110911749 > (mypacf <- c(rpacf$acf)) [1] 0.4332318598 -0.4041184257 -0.4289092166 -0.3088665623 -0.0150362227 [6] -0.1931798057 -0.1695190599 -0.0662526350 -0.0031552827 -0.0908464705 [11] 0.0487178484 -0.1552690834 0.0549486842 0.0267982635 0.0320892004 [16] -0.1377342073 -0.0729883149 0.1855011174 -0.1295795656 0.1310918683 [21] -0.0073258243 0.0095855083 0.0015554141 -0.0992161359 0.1332393834 [26] -0.0478430075 -0.0009957369 -0.1772226697 -0.2300473955 -0.1341411485 [31] 0.0079480058 -0.0282179233 -0.1029596515 -0.0313715717 0.0172013028 [36] -0.0434001885 0.0657855990 0.0689252386 -0.0351637162 0.0625150180 [41] 0.0896601641 -0.0512005793 -0.0297513807 -0.0053993403 0.0474576176 [46] -0.0602139123 -0.0373834456 -0.0129201760 > 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/3pndj1229175494.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/45kk91229175494.tab") > > system("convert tmp/1uqzt1229175494.ps tmp/1uqzt1229175494.png") > system("convert tmp/22hd21229175494.ps tmp/22hd21229175494.png") > > > proc.time() user system elapsed 0.556 0.320 0.797