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Type 'q()' to quit R. > x <- c(7.4,7.2,7.1,6.9,6.8,6.8,6.8,6.9,6.7,6.6,6.5,6.4,6.3,6.3,6.3,6.5,6.6,6.5,6.4,6.5,6.7,7.1,7.1,7.2,7.2,7.3,7.3,7.3,7.3,7.4,7.6,7.6,7.6,7.7,7.8,7.9,8.1,8.1,8.1,8.2,8.2,8.2,8.2,8.2,8.2,8.3,8.3,8.4,8.4,8.4,8.3,8,8,8.2,8.6,8.7,8.7,8.5,8.4,8.4,8.4,8.5,8.5,8.5,8.5,8.5,8.4,8.4,8.4,8.5,8.6,8.6,8.6,8.6,8.5,8.4,8.4,8.3,8.2,8.1,8.2,8.1,8,7.9,7.8,7.7,7.7,7.9,7.8,7.6,7.4,7.3,7.1,7.1,7,7,7,6.9,6.8,6.7,6.6,6.6) > par5 = '12' > par4 = '0' > par3 = '1' > par2 = '2.0' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1y61n1228578112.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2kkyd1228578112.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 0.4297773549 0.1168237849 -0.1525039418 -0.0704470634 [6] 0.0826401722 0.2469432362 0.2880430739 0.2376456012 0.2542285074 [11] 0.0816925747 0.0341512919 -0.1360311894 -0.0268007355 0.1368254385 [16] 0.2170223620 0.1420823239 0.0749292073 0.0298417231 -0.0204382073 [21] -0.0407822729 -0.1307383189 -0.0949257182 0.0006913351 0.0864490170 [26] 0.0379105966 0.0816734035 -0.0793322741 -0.1202950075 -0.1585807952 [31] -0.2070483808 -0.0364156541 0.0838846568 0.2477989138 0.1240487792 [36] -0.1112588481 -0.3275842358 > (mypacf <- c(rpacf$acf)) [1] 0.429777355 -0.083264447 -0.211338062 0.112389328 0.131185713 [6] 0.146670338 0.131913635 0.104423372 0.235803436 -0.056470150 [11] 0.024927942 -0.179057665 0.019362024 0.103220264 -0.061241290 [16] -0.063679272 0.061153356 0.047264154 -0.024482455 -0.095048114 [21] -0.120308622 -0.064205820 0.001404741 -0.048593709 -0.088613038 [26] 0.211967541 -0.077008669 -0.051972363 -0.035199325 -0.156116295 [31] 0.166507403 0.025580012 0.164849150 0.029596456 -0.166305151 [36] -0.007328391 > 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/3j0en1228578112.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/4fmbs1228578112.tab") > > system("convert tmp/1y61n1228578112.ps tmp/1y61n1228578112.png") > system("convert tmp/2kkyd1228578112.ps tmp/2kkyd1228578112.png") > > > proc.time() user system elapsed 0.563 0.311 0.794