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Type 'q()' to quit R. > x <- c(1.336,1.3649,1.3999,1.4442,1.4349,1.4388,1.4264,1.4343,1.377,1.3706,1.3556,1.3179,1.2905,1.3224,1.3201,1.3162,1.2789,1.2526,1.2288,1.24,1.2856,1.2974,1.2828,1.3119,1.3288,1.3359,1.2964,1.3026,1.2982,1.3189,1.308,1.331,1.3348,1.3635,1.3493,1.3704,1.361,1.3658,1.3823,1.3812,1.3732,1.3592,1.3539,1.3316,1.2901,1.2673,1.2472,1.2331,1.1621,1.135,1.0838,1.0779,1.115,1.1213,1.0996,1.1139,1.1221,1.1235,1.0736,1.0877) > par8 = '' > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '1' > par2 = '1' > par1 = '48' > 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. 1.2.327 (Mon, 30 Nov 2015 06:58:35 +0000) > #Author: root > #To cite this work: Wessa P., (2015), (Partial) Autocorrelation Function (v1.0.12) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_autocorrelation.wasp/ > #Source of accompanying publication: > # > 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) > x <- na.omit(x) > 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/wessaorg/rcomp/tmp/1lgjz1476997816.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/wessaorg/rcomp/tmp/264sr1476997816.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/wessaorg/rcomp/tmp/3kvsl1476997816.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 0.226645467 0.169389958 -0.022812000 0.217279052 [6] -0.104181431 -0.008640882 -0.093841635 0.019351876 -0.145805285 [11] 0.112344569 -0.126025603 -0.110734173 -0.196062840 0.016891697 [16] -0.198511842 -0.101849492 -0.057787363 0.182957360 -0.063999692 [21] 0.013495084 -0.137119262 0.116628254 -0.151218799 -0.022488800 [26] -0.208925258 0.006767015 -0.117799806 0.090608469 -0.044919149 [31] 0.025191507 0.035901351 0.307396212 0.108908711 0.041499717 [36] -0.017519639 0.131001971 0.047345070 0.024068306 0.064253005 [41] 0.079152492 -0.098477749 0.032052355 -0.098257129 -0.105844224 [46] -0.178908762 -0.046287334 -0.139962497 -0.085213899 > (mypacf <- c(rpacf$acf)) [1] 0.2266454675 0.1244126391 -0.0906095456 0.2358673402 -0.2076502393 [6] -0.0005775568 -0.0188825891 -0.0332599599 -0.0716471107 0.1701944593 [11] -0.1831688655 -0.1249473130 -0.0255730978 -0.0249696435 -0.1364838566 [16] -0.0117481294 0.0542717719 0.1228223804 -0.0801784551 -0.0582638934 [21] -0.1439516179 0.1270007992 -0.1547148996 -0.0800139266 -0.1021239190 [26] -0.0064864248 -0.0734138709 0.0063133316 0.0163024966 -0.0684008093 [31] 0.1722297455 0.1721555857 0.0248090274 -0.0854179660 -0.0040343152 [36] -0.0988192307 0.0959820372 -0.0427189208 0.0966863816 -0.0486643951 [41] -0.1222495469 0.0439844632 -0.0518393210 -0.0814446963 0.0422580579 [46] -0.0860496885 -0.0067141115 0.0158708598 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/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/wessaorg/rcomp/tmp/47lcs1476997816.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/wessaorg/rcomp/tmp/5e6tx1476997816.tab") > > try(system("convert tmp/1lgjz1476997816.ps tmp/1lgjz1476997816.png",intern=TRUE)) character(0) > try(system("convert tmp/264sr1476997816.ps tmp/264sr1476997816.png",intern=TRUE)) character(0) > try(system("convert tmp/3kvsl1476997816.ps tmp/3kvsl1476997816.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.186 0.039 1.240