R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" Copyright (C) 2013 The R Foundation for Statistical Computing Platform: i686-pc-linux-gnu (32-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(9,13,12,5,13,11,8,8,8,8,0,3,0,-1,-1,-4,1,-1,0,-1,6,0,-3,-3,4,1,0,-4,-2,3,2,5,6,6,3,4,7,5,6,1,3,6,0,3,4,7,6,6,6,6,2,2,2,3,-1,-4,4,5,3,-1,-4,0,-1,-1,3,2,-4,-3,-1,3,-2,-10) > 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. 1.2.291 () > #Author: root > #To cite this work: Wessa P., (2012), (Partial) Autocorrelation Function (v1.0.11) 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) > 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/1twxs1387802709.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/2ocma1387802709.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/39v3d1387802709.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] 1.000000e+00 -2.246733e-01 -2.262951e-01 -8.277375e-02 1.498280e-01 [6] 1.389819e-01 -2.212987e-01 5.881156e-02 8.078039e-02 -2.771605e-02 [11] -2.508156e-01 4.020179e-02 3.140482e-01 5.215029e-02 -3.179467e-01 [16] -1.209554e-02 2.417440e-01 -3.453577e-02 -8.351025e-02 -1.278414e-01 [21] 2.018964e-01 -1.071623e-03 -1.417909e-01 -4.783483e-02 1.170646e-01 [26] 8.468459e-02 -2.577550e-01 1.174969e-01 3.798239e-02 1.030189e-01 [31] -2.047514e-01 -8.491414e-02 2.349449e-01 3.942490e-02 -6.294795e-02 [36] -2.054436e-01 1.113147e-01 7.944893e-02 -1.003648e-01 7.240865e-03 [41] 8.371435e-02 -7.242182e-06 -1.617462e-01 -4.250107e-02 1.069881e-01 [46] 1.658387e-01 -1.821323e-01 -5.631169e-02 4.110355e-02 > (mypacf <- c(rpacf$acf)) [1] -0.224673323 -0.291486942 -0.246217922 -0.021537557 0.123799442 [6] -0.129207414 0.063665041 0.072135606 -0.026545884 -0.265244604 [11] -0.113935327 0.163420123 0.207703246 -0.096789775 0.009042799 [16] 0.118960885 -0.072575849 -0.009650402 -0.122287751 0.000233345 [21] 0.036529000 0.067396013 -0.055456380 -0.087246220 -0.028079598 [26] -0.120901667 0.091387863 -0.092826243 0.079639464 -0.031973328 [31] -0.097258540 0.041248493 0.040470174 0.045589372 -0.080612468 [36] -0.078772413 -0.016527013 -0.049204385 0.032289726 0.022672234 [41] -0.008726710 -0.081993988 -0.059658308 -0.103765518 -0.048716358 [46] -0.028304363 0.046838954 0.029776629 > 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/4i5741387802709.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/5h9691387802710.tab") > > try(system("convert tmp/1twxs1387802709.ps tmp/1twxs1387802709.png",intern=TRUE)) character(0) > try(system("convert tmp/2ocma1387802709.ps tmp/2ocma1387802709.png",intern=TRUE)) character(0) > try(system("convert tmp/39v3d1387802709.ps tmp/39v3d1387802709.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.723 0.579 3.274