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Type 'q()' to quit R. > x <- c(1919,1911,1870,2263,1802,1863,1989,2197,2409,2502,2593,2598,2053,2213,2238,2359,2151,2474,3079,2312,2565,1972,2484,2202,2151,1976,2012,2114,1772,1957,2070,1990,2182,2008,1916,2397,2114,1778,1641,2186,1773,1785,2217,2153,1895,2475,1793,2308,2051,1898,2142,1874,1560,1808,1575,1525,1997,1753,1623,2251,1890) > par7 = '' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '0' > par2 = '1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1qwrw1261220010.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/24llt1261220010.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 0.3877099407 0.4153202346 0.3954937262 0.2364688950 [6] 0.1550787925 0.1298338363 0.0758272036 0.1405731164 0.1264440488 [11] 0.0076897742 0.0368599041 0.1111342681 -0.0250769788 0.0276228089 [16] 0.0262356320 -0.0773381295 0.0113047046 -0.1288627910 -0.1430025423 [21] -0.1088003352 -0.0238100389 -0.1097903934 -0.0573317065 0.0593874856 [26] 0.0764879458 -0.0167803640 0.0652239127 -0.0423068529 -0.0337106590 [31] -0.0857281197 -0.1476304578 -0.0515608997 -0.1171036578 -0.1465891621 [36] -0.1943517950 -0.1217545362 -0.1572968064 -0.1780752810 -0.1074000761 [41] -0.1793839930 -0.1407615676 -0.1318635454 -0.2021149301 -0.1562669474 [46] -0.1473142843 -0.1108150211 -0.0947233699 -0.0272444965 -0.0237377016 [51] 0.0241285654 0.0371126039 0.0401026279 0.0693749364 0.0427295463 [56] 0.0136265955 0.0454285914 0.0102047969 0.0150669970 0.0005940786 [61] 0.0054618708 > (mypacf <- c(rpacf$acf)) [1] 0.3877099407 0.3118832078 0.2135118606 -0.0428416029 -0.1029005255 [6] -0.0278383898 0.0009563071 0.1399228283 0.0823251653 -0.1413655325 [11] -0.0870309154 0.1202726141 -0.0284585835 0.0197883626 -0.0100959103 [16] -0.1422478630 0.0323013518 -0.1076555199 -0.0481580531 -0.0223115059 [21] 0.1626776181 -0.0076502811 -0.0647694524 0.1103480543 0.1447024747 [26] -0.1250234317 0.0216300668 -0.1119740917 -0.1101281363 -0.0187455211 [31] -0.0229879634 0.0795405811 -0.1092357004 -0.0791919214 -0.1525157469 [36] -0.0024758729 0.0776262139 -0.0531516550 -0.0016658139 -0.0974074821 [41] -0.0776150295 0.0108558518 0.0902161360 -0.0143669021 -0.0511503992 [46] -0.0118834886 0.0498014422 0.0410208855 -0.0078099950 0.0604228401 [51] -0.0545588349 0.0259983776 -0.0129973421 -0.0427519937 0.0231953858 [56] 0.0103229313 -0.0812643471 -0.0082757851 -0.0259204165 0.0160617543 > 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/3xj0g1261220010.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/42lvq1261220010.tab") > > try(system("convert tmp/1qwrw1261220010.ps tmp/1qwrw1261220010.png",intern=TRUE)) character(0) > try(system("convert tmp/24llt1261220010.ps tmp/24llt1261220010.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.592 0.325 1.005