R version 2.12.2 (2011-02-25) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-redhat-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(1686,1591,2304,1712,1471,1377,1966,2453,1984,2596,4087,5179,1530,1523,1633,1976,1170,1480,1781,2472,1981,2273,3857,4551,1510,1329,1518,1790,1537,1449,1954,1897,1706,2514,3593,4524,1609,1638,2030,1375,1320,1245,1600,2298,2191,2511,3440,4923,1609,1435,2061,1789,1567,1404,1597,3159,1759,2504,4273,5274,1771,1682,1846,1589,1896,1379,1645,2512,1771,3727,4388,5434,1606,1523,1577,1605,1765,1403,2584,3318,1562,2349,3987,5891,1389,1442,1548,1935,1518,1250,1847,1930,2638,3114,4405,7242,1853,1779,2108,2336,1728,1661,2230,1645,2421,3740,4988,6757,1757,1394,1982,1650,1654,1406,1971,1968,2608,3845,4514,6694,1720,1321,1859,1628,1615,1457,1899,1605,2424,3116,4286,6047,1902,2049,1874,1279,1432,1540,2214,1857,2408,3252,3627,6153,1577,1667,1993,1997,1783,1625,2076,1773,2377,3088,4096,6119,1494,1564,1898,2121,1831,1515,2048,2795,1749,3339,4227,6410,1197,1968,1720,1725,1674,1693,2031,1495,2968,3385,3729,5999,1070,1402,1897,1862,1670,1688,2031) > par8 = '' > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '1' > par2 = '1' > par1 = '48' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, 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: > #Technical description: > 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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par8 != '') par8 <- as.numeric(par8) > ox <- x > if (par8 == '') { + if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } + } else { + x <- log(x,base=par8) + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/wessaorg/rcomp/tmp/1dim81302094091.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow=c(2,1)) > plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value') > if (par8=='') { + mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='') + mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='') + } else { + mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='') + mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='') + } > plot(x,type='l', main=mytitle,xlab='time',ylab='value') > par(op) > dev.off() null device 1 > postscript(file="/var/www/wessaorg/rcomp/tmp/2l8531302094091.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub) > dev.off() null device 1 > postscript(file="/var/www/wessaorg/rcomp/tmp/37d2l1302094091.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub) > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.226516486 -0.162332243 -0.080170410 0.057719945 [6] 0.010921478 -0.203713807 0.021929403 0.042151705 -0.064852760 [11] -0.144682682 -0.179104133 0.863278871 -0.180089290 -0.144410609 [16] -0.094359977 0.072156060 0.008875093 -0.194333775 0.022600854 [21] 0.040233930 -0.066884709 -0.137732420 -0.154147040 0.796221177 [26] -0.167103736 -0.138329635 -0.076371219 0.064691962 0.006980298 [31] -0.184587066 0.023305418 0.025233355 -0.046478649 -0.133809069 [36] -0.142823750 0.736041972 -0.142650087 -0.132898306 -0.086387505 [41] 0.076588834 0.003827030 -0.172944465 0.022547998 0.022559030 [46] -0.048429441 -0.117308348 -0.132791831 0.675811406 > (mypacf <- c(rpacf$acf)) [1] -0.2265164863 -0.2251967426 -0.1956883792 -0.0666925906 -0.0510536441 [6] -0.2627528281 -0.1555929173 -0.1377718892 -0.2446085579 -0.4099809551 [11] -0.8441312421 0.2271013688 -0.0216921168 0.0082463568 -0.0463662142 [16] -0.0402922973 -0.0175826754 0.0190979807 0.0095559741 0.0777105491 [21] 0.0121416124 -0.0337637370 -0.1558703898 0.0853250281 -0.0259876890 [26] -0.0580499742 0.0600401864 -0.0213377485 -0.0067399914 0.0026109580 [31] -0.0070793800 -0.0538954400 0.0313592775 0.0053921061 -0.0522871381 [36] -0.0096796419 0.0162226579 0.0137404180 -0.0500648247 -0.0236333693 [41] -0.0335940030 -0.0002884873 -0.0179520782 0.0234488941 -0.0350833563 [46] 0.0211240960 -0.0247759607 0.0064997091 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/www/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/wessaorg/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/wessaorg/rcomp/tmp/46yie1302094091.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/wessaorg/rcomp/tmp/52psp1302094091.tab") > > try(system("convert tmp/1dim81302094091.ps tmp/1dim81302094091.png",intern=TRUE)) character(0) > try(system("convert tmp/2l8531302094091.ps tmp/2l8531302094091.png",intern=TRUE)) character(0) > try(system("convert tmp/37d2l1302094091.ps tmp/37d2l1302094091.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.990 0.110 1.135