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Type 'q()' to quit R. > x <- c(87.28 + ,87.28 + ,87.09 + ,86.92 + ,87.59 + ,90.72 + ,90.69 + ,90.3 + ,89.55 + ,88.94 + ,88.41 + ,87.82 + ,87.07 + ,86.82 + ,86.4 + ,86.02 + ,85.66 + ,85.32 + ,85 + ,84.67 + ,83.94 + ,82.83 + ,81.95 + ,81.19 + ,80.48 + ,78.86 + ,69.47 + ,68.77 + ,70.06 + ,73.95 + ,75.8 + ,77.79 + ,81.57 + ,83.07 + ,84.34 + ,85.1 + ,85.25 + ,84.26 + ,83.63 + ,86.44 + ,85.3 + ,84.1 + ,83.36 + ,82.48 + ,81.58 + ,80.47 + ,79.34 + ,82.13 + ,81.69 + ,80.7 + ,79.88 + ,79.16 + ,78.38 + ,77.42 + ,76.47 + ,75.46 + ,74.48 + ,78.27 + ,80.7 + ,79.91 + ,78.75 + ,77.78 + ,81.14 + ,81.08 + ,80.03 + ,78.91 + ,78.01 + ,76.9 + ,75.97 + ,81.93 + ,80.27 + ,78.67 + ,77.42 + ,76.16 + ,74.7 + ,76.39 + ,76.04 + ,74.65 + ,73.29 + ,71.79 + ,74.39 + ,74.91 + ,74.54 + ,73.08 + ,72.75 + ,71.32 + ,70.38 + ,70.35 + ,70.01 + ,69.36 + ,67.77 + ,69.26 + ,69.8 + ,68.38 + ,67.62 + ,68.39 + ,66.95 + ,65.21 + ,66.64 + ,63.45 + ,60.66 + ,62.34 + ,60.32 + ,58.64 + ,60.46 + ,58.59 + ,61.87 + ,61.85 + ,67.44 + ,77.06 + ,91.74 + ,93.15 + ,94.15 + ,93.11 + ,91.51 + ,89.96 + ,88.16 + ,86.98 + ,88.03 + ,86.24 + ,84.65 + ,83.23 + ,81.7 + ,80.25 + ,78.8 + ,77.51 + ,76.2 + ,75.04 + ,74 + ,75.49 + ,77.14 + ,76.15 + ,76.27 + ,78.19 + ,76.49 + ,77.31 + ,76.65 + ,74.99 + ,73.51 + ,72.07 + ,70.59 + ,71.96 + ,76.29 + ,74.86 + ,74.93 + ,71.9 + ,71.01 + ,77.47 + ,75.78 + ,76.6 + ,76.07 + ,74.57 + ,73.02 + ,72.65 + ,73.16 + ,71.53 + ,69.78 + ,67.98 + ,69.96 + ,72.16 + ,70.47 + ,68.86 + ,67.37 + ,65.87 + ,72.16 + ,71.34 + ,69.93 + ,68.44 + ,67.16 + ,66.01 + ,67.25 + ,70.91 + ,69.75 + ,68.59 + ,67.48 + ,66.31 + ,64.81 + ,66.58 + ,65.97 + ,64.7 + ,64.7 + ,60.94 + ,59.08 + ,58.42 + ,57.77 + ,57.11 + ,53.31 + ,49.96 + ,49.4 + ,48.84 + ,48.3 + ,47.74 + ,47.24 + ,46.76 + ,46.29 + ,48.9 + ,49.23 + ,48.53 + ,48.03 + ,54.34 + ,53.79 + ,53.24 + ,52.96 + ,52.17 + ,51.7 + ,58.55 + ,78.2 + ,77.03 + ,76.19 + ,77.15 + ,75.87 + ,95.47 + ,109.67 + ,112.28 + ,112.01 + ,107.93 + ,105.96 + ,105.06 + ,102.98 + ,102.2 + ,105.23 + ,101.85 + ,99.89 + ,96.23 + ,94.76 + ,91.51 + ,91.63 + ,91.54 + ,85.23 + ,87.83 + ,87.38 + ,84.44 + ,85.19 + ,84.03 + ,86.73 + ,102.52 + ,104.45 + ,106.98 + ,107.02 + ,99.26 + ,94.45 + ,113.44 + ,157.33 + ,147.38 + ,171.89 + ,171.95 + ,132.71 + ,126.02 + ,121.18 + ,115.45 + ,110.48 + ,117.85 + ,117.63 + ,124.65 + ,109.59 + ,111.27 + ,99.78 + ,98.21 + ,99.2 + ,97.97 + ,89.55 + ,87.91 + ,93.34 + ,94.42 + ,93.2 + ,90.29 + ,91.46 + ,89.98 + ,88.35 + ,88.41 + ,82.44 + ,79.89 + ,75.69 + ,75.66 + ,84.5 + ,96.73 + ,87.48 + ,82.39 + ,83.48 + ,79.31 + ,78.16 + ,72.77 + ,72.45 + ,68.46 + ,67.62 + ,68.76 + ,70.07 + ,68.55 + ,65.3 + ,58.96 + ,59.17 + ,62.37 + ,66.28 + ,55.62 + ,55.23 + ,55.85 + ,56.75 + ,50.89 + ,53.88 + ,52.95 + ,55.08 + ,53.61 + ,58.78 + ,61.85 + ,55.91 + ,53.32 + ,46.41 + ,44.57 + ,50 + ,50 + ,53.36 + ,46.23 + ,50.45 + ,49.07 + ,45.85 + ,48.45 + ,49.96 + ,46.53 + ,50.51 + ,47.58 + ,48.05 + ,46.84 + ,47.67 + ,49.16 + ,55.54 + ,55.82 + ,58.22 + ,56.19 + ,57.77 + ,63.19 + ,54.76 + ,55.74 + ,62.54 + ,61.39 + ,69.6 + ,79.23 + ,80 + ,93.68 + ,107.63 + ,100.18 + ,97.3 + ,90.45 + ,80.64 + ,80.58 + ,75.82 + ,85.59 + ,89.35 + ,89.42 + ,104.73 + ,95.32 + ,89.27 + ,90.44 + ,86.97 + ,79.98 + ,81.22 + ,87.35 + ,83.64 + ,82.22 + ,94.4) > par7 = '0.95' > par6 = 'MA' > par5 = '12' > par4 = '1' > par3 = '1' > par2 = '1' > par1 = 'Default' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1q7lz1260297527.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2idre1260297527.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 0.102198353 0.007114170 0.072118380 -0.202954976 [6] -0.170566259 0.049777810 0.196906243 0.128925750 0.017479160 [11] -0.001594605 -0.063555235 -0.556170539 -0.064593531 -0.038871189 [16] -0.071012085 0.109337367 0.050411329 -0.131047772 -0.188465619 [21] -0.026325581 -0.096173623 0.078892736 0.059680564 0.064540448 [26] 0.001893390 > (mypacf <- c(rpacf$acf)) [1] 0.102198353 -0.003365484 0.072490766 -0.221161805 -0.131997237 [6] 0.079520094 0.240404295 0.084854046 -0.101862620 -0.064388161 [11] 0.030193058 -0.505021805 0.023039387 -0.085142056 0.032247693 [16] -0.113062846 -0.087380224 -0.122830956 -0.019387969 0.101780444 [21] -0.097490713 0.106875507 -0.044159221 -0.312113230 0.005921531 > 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/3n5he1260297527.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/44mmy1260297527.tab") > > system("convert tmp/1q7lz1260297527.ps tmp/1q7lz1260297527.png") > system("convert tmp/2idre1260297527.ps tmp/2idre1260297527.png") > > > proc.time() user system elapsed 0.561 0.312 0.711