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Type 'q()' to quit R. > x <- c(5.1,4.9,5.2,5.1,4.6,3.7,3.9,3.1,2.8,2.6,2.2,1.8,1.3,1.2,1.4,1.3,1.3,1.9,1.9,2.1,2.0,1.9,1.9,1.9,1.8,1.7,1.6,1.7,1.9,1.7,1.3,2.0,2.0,2.3,2.0,1.7,2.3,2.4,2.4,2.3,2.1,2.1,2.5,2.0,1.8,1.7,1.9,2.1,1.4,1.6,1.7,1.6,1.9,1.6,1.1,1.3,1.6,1.6,1.7,1.6,1.7,1.6,1.5,1.6,1.1,1.5,1.4,1.3,0.9,1.2,0.9,1.1,1.3,1.3,1.4,1.2,1.7,2.0,3.0,3.1,3.2,2.7,2.8,3.0,2.8,3.1,3.1,3.2,3.1,2.7,2.2,2.2,2.1,2.3,2.5,2.3,2.6) > par5 = '12' > par4 = '0' > par3 = '0' > par2 = '-0.5' > par1 = '60' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1h3sy1228821507.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2atxt1228821507.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.845169251 0.747451394 0.635770164 0.534843280 [6] 0.431795436 0.320400201 0.195260800 0.091821377 0.028274289 [11] -0.050345120 -0.103938235 -0.173969601 -0.121806327 -0.083763975 [16] -0.099464918 -0.084210985 -0.098185408 -0.106677157 -0.104676961 [21] -0.125062490 -0.166431192 -0.171321387 -0.201419581 -0.208724461 [26] -0.213954541 -0.226077063 -0.180638454 -0.179001793 -0.154808467 [31] -0.144083929 -0.111303421 -0.086768279 -0.052580730 -0.040249819 [36] -0.012755914 0.030600338 0.029813471 0.070737309 0.061996688 [41] 0.077655518 0.089908387 0.077428143 0.057014134 0.035763942 [46] 0.022194894 0.014297595 -0.010044654 -0.039404409 -0.026894423 [51] -0.040223294 -0.046590844 -0.033605911 -0.054742016 -0.040117300 [56] -0.006539199 -0.005406108 -0.021210174 -0.050699730 -0.082365180 [61] -0.119293590 > (mypacf <- c(rpacf$acf)) [1] 0.845169251 0.116001452 -0.073490331 -0.039998117 -0.063059997 [6] -0.104174695 -0.143417226 -0.041018983 0.073989975 -0.081494867 [11] -0.007900509 -0.096694006 0.347405951 0.073760598 -0.271929275 [16] 0.035026683 -0.071827238 -0.103994147 -0.057211134 -0.080379261 [21] 0.008348126 0.037049512 -0.113388524 0.034905077 0.173768901 [26] -0.016388771 -0.013305893 -0.109518321 0.014640581 -0.099620049 [31] 0.037617617 -0.029553612 -0.015645221 0.074839913 0.009572925 [36] 0.105019381 -0.009895438 0.065326514 -0.034619706 -0.068329538 [41] -0.047975542 -0.123496157 -0.019670321 -0.033291278 -0.006504081 [46] 0.092975730 -0.050021841 0.089710431 0.105517331 -0.031251223 [51] -0.083005058 0.006129532 -0.115123043 -0.073808527 0.081035102 [56] -0.075650711 -0.047956828 -0.079335869 -0.025917856 -0.063019246 > 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/311k21228821507.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/44v011228821507.tab") > > system("convert tmp/1h3sy1228821507.ps tmp/1h3sy1228821507.png") > system("convert tmp/2atxt1228821507.ps tmp/2atxt1228821507.png") > > > proc.time() user system elapsed 0.591 0.312 0.697