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Type 'q()' to quit R. > x <- c(15836.8,17570.4,18252.1,16196.7,16643,17729,16446.1,15993.8,16373.5,17842.2,22321.5,22786.7,18274.1,22392.9,23899.3,21343.5,22952.3,21374.4,21164.1,20906.5,17877.4,20664.3,22160,19813.6,17735.4,19640.2,20844.4,19823.1,18594.6,21350.6,18574.1,18924.2,17343.4,19961.2,19932.1,19464.6,16165.4,17574.9,19795.4,19439.5,17170,21072.4,17751.8,17515.5,18040.3,19090.1,17746.5,19202.1,15141.6,16258.1,18586.5,17209.4,17838.7,19123.5,16583.6,15991.2,16704.4,17420.4,17872,17823.2) > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '1' > par2 = '0.4' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1hgrc1259944815.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2uc901259944815.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 -0.3089465319 -0.2985755150 0.1346892109 0.1126562206 [6] -0.1306007029 0.1584826891 -0.2708497048 0.2878136771 -0.0007886606 [11] -0.2721263065 -0.1101876771 0.5168642244 -0.1321225775 -0.2215495659 [16] -0.0066200479 0.2087766361 -0.1167767186 -0.0172513592 -0.0007067453 [21] 0.1253919367 -0.0876147415 -0.1000892027 -0.0660176999 0.2303878111 [26] 0.0667041054 -0.2629141747 -0.0187680400 0.2454035902 -0.1376346853 [31] -0.0542099310 0.1519724598 -0.0769639055 -0.0280695391 0.0387357590 [36] -0.1613795756 0.1704638712 > (mypacf <- c(rpacf$acf)) [1] -0.308946532 -0.435600670 -0.180530402 -0.037734439 -0.099397279 [6] 0.182441479 -0.268645981 0.279115764 0.021814763 -0.137101036 [11] -0.330226020 0.227064398 0.220556500 -0.059061853 -0.045736907 [16] 0.022038407 -0.014906855 -0.143287415 0.180526602 -0.018028351 [21] -0.140074470 -0.028980445 0.048577413 -0.129766442 0.045860228 [26] 0.007658167 -0.041484934 -0.030651021 0.025859285 0.067404054 [31] 0.011895114 -0.083269865 -0.034898669 0.114225358 -0.152610236 [36] 0.003802284 > 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/3gggt1259944815.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/4lluz1259944815.tab") > > system("convert tmp/1hgrc1259944815.ps tmp/1hgrc1259944815.png") > system("convert tmp/2uc901259944815.ps tmp/2uc901259944815.png") > > > proc.time() user system elapsed 0.568 0.326 1.498