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Type 'q()' to quit R. > x <- c(2648.9,2669.6,3042.3,2604.2,2732.1,2621.7,2483.7,2479.3,2684.6,2834.7,2566.1,2251.2,2350,2299.8,2542.8,2530.2,2508.1,2616.8,2534.1,2181.8,2578.9,2841.9,2529.9,2103.2,2326.2,2452.6,2782.1,2727.3,2648.2,2760.7,2613,2225.4,2713.9,2923.3,2707,2473.9,2521,2531.8,3068.8,2826.9,2674.2,2966.6,2798.8,2629.6,3124.6,3115.7,3083,2863.9,2728.7,2789.4,3225.7,3148.2,2836.5,3153.5,2656.9,2834.7,3172.5,2998.8,3103.1,2735.6,2818.1,2874.4,3438.5,2949.1,3306.8,3530,3003.8,3206.4,3514.6,3522.6,3525.5,2996.2,3231.1,3030,3541.7,3113.2,3390.8,3424.2,3079.8,3123.4,3317.1,3579.9,3317.9,2668.1) > par5 = '12' > par4 = '1' > par3 = '1' > par2 = '1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/freestat/rcomp/tmp/1t57k1229000026.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/29nuk1229000026.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.467234503 -0.012439148 0.162536621 -0.079772814 [6] 0.027963093 0.069955588 -0.114556545 -0.077824994 0.309596587 [11] -0.220688509 0.068178834 -0.026761850 -0.138487342 0.175803384 [16] -0.116584009 -0.175574548 0.282314147 -0.035711381 -0.145071287 [21] 0.100982053 0.075633446 -0.200065269 0.259207956 -0.173926214 [26] -0.092975510 0.321091240 -0.159135497 -0.058989452 0.118814687 [31] -0.076540933 0.045796750 0.006254352 -0.133728179 0.091110350 [36] 0.078791129 -0.123012682 > (mypacf <- c(rpacf$acf)) [1] -0.467234503 -0.295189478 0.023944512 0.035243558 0.057880870 [6] 0.116915231 -0.028891480 -0.218291706 0.185638157 0.065950159 [11] 0.088509093 -0.076956678 -0.251353243 -0.055671314 -0.093285586 [16] -0.249952377 0.160683455 0.209929464 0.036563594 -0.118593617 [21] 0.137924302 -0.031551259 0.096661870 0.019718390 -0.084680224 [26] 0.080887279 0.014608195 -0.160475986 0.023469129 0.017474383 [31] 0.074975261 -0.086811205 0.006801831 0.052131053 -0.028868885 [36] 0.030701621 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3h5421229000026.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/freestat/rcomp/tmp/47htx1229000026.tab") > > system("convert tmp/1t57k1229000026.ps tmp/1t57k1229000026.png") > system("convert tmp/29nuk1229000026.ps tmp/29nuk1229000026.png") > > > proc.time() user system elapsed 0.777 0.422 0.921