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Type 'q()' to quit R. > x <- c(358.59 + ,362.96 + ,362.42 + ,364.97 + ,364.04 + ,361.06 + ,358.48 + ,352.96 + ,359.59 + ,360.39 + ,357.40 + ,362.93 + ,364.55 + ,365.73 + ,364.70 + ,364.65 + ,359.43 + ,362.14 + ,356.97 + ,354.82 + ,353.17 + ,357.06 + ,356.18 + ,355.01 + ,355.65 + ,357.31 + ,357.07 + ,357.91 + ,358.48 + ,358.97 + ,351.77 + ,352.16 + ,359.08 + ,360.35 + ,359.53 + ,359.30 + ,358.41 + ,359.68 + ,355.31 + ,357.08 + ,349.71 + ,354.13 + ,345.49 + ,341.69 + ,344.25 + ,340.17 + ,342.47 + ,344.43 + ,333.23 + ,339.72 + ,342.61 + ,346.36 + ,339.09 + ,339.73 + ,341.12 + ,335.94 + ,333.46 + ,335.66 + ,341.12 + ,342.21 + ,342.62 + ,346.06 + ,344.43 + ,346.65 + ,343.74 + ,335.67 + ,342.75 + ,341.77 + ,345.84 + ,346.52 + ,350.79 + ,345.44 + ,345.87 + ,338.48 + ,337.21 + ,340.81 + ,339.86 + ,342.86 + ,343.33 + ,341.73 + ,351.38 + ,351.13 + ,345.99 + ,347.55 + ,346.02 + ,345.29 + ,347.03 + ,348.01 + ,345.48 + ,349.40 + ,351.05 + ,349.70 + ,350.86 + ,354.45 + ,355.30 + ,357.48 + ,355.24 + ,351.79 + ,355.22 + ,351.02 + ,350.28 + ,350.17 + ,348.16 + ,340.30 + ,343.75 + ,344.71 + ,344.13 + ,342.14 + ,345.04 + ,346.02 + ,346.43 + ,347.07 + ,339.33 + ,339.10 + ,337.19 + ,339.58 + ,327.85 + ,326.81 + ,321.73 + ,320.45 + ,327.69 + ,323.95 + ,320.47 + ,322.13 + ,316.34 + ,314.78 + ,308.90 + ,308.62 + ,314.41 + ,306.88 + ,310.60 + ,321.60 + ,321.50 + ,325.68 + ,324.35 + ,320.01 + ,326.88 + ,332.39 + ,331.48 + ,332.62 + ,324.79 + ,327.12 + ,328.91 + ,328.37 + ,324.83 + ,325.90 + ,326.18 + ,328.94 + ,333.78 + ,328.06 + ,325.87 + ,325.41 + ,318.86 + ,319.13 + ,310.16 + ,311.73 + ,306.54 + ,311.16 + ,311.98 + ,306.72 + ,308.05 + ,300.76 + ,301.90 + ,293.09 + ,292.76 + ,294.58 + ,289.90 + ,296.69 + ,297.21 + ,293.31 + ,296.25 + ,298.60 + ,296.87 + ,301.02 + ,304.73 + ,301.92 + ,295.72 + ,293.18 + ,298.35 + ,297.99 + ,299.85 + ,299.85 + ,304.45 + ,299.45 + ,298.14 + ,298.78 + ,297.02 + ,301.33 + ,294.96 + ,296.69 + ,300.73 + ,301.96 + ,297.38 + ,293.87 + ,285.96 + ,285.41 + ,283.70 + ,284.76 + ,277.11 + ,274.73 + ,274.73 + ,274.73 + ,274.73 + ,274.69 + ,275.42 + ,264.15 + ,276.24 + ,268.88 + ,277.97 + ,280.49 + ,281.09 + ,276.16 + ,272.58 + ,270.94 + ,284.31 + ,283.94 + ,284.18 + ,282.83 + ,283.84 + ,282.71 + ,279.29 + ,280.70 + ,274.47 + ,273.44 + ,275.49 + ,279.46 + ,280.19 + ,288.21 + ,284.80 + ,281.41 + ,283.39 + ,287.97 + ,290.77 + ,290.60 + ,289.67 + ,289.84 + ,298.55 + ,296.07 + ,297.14 + ,295.34 + ,296.25 + ,294.30 + ,296.15 + ,296.49 + ,298.05 + ,301.03 + ,300.52 + ,301.50 + ,296.93 + ,289.84 + ,291.44 + ,286.88 + ,286.74 + ,288.93 + ,292.19 + ,295.39 + ,295.86 + ,293.36 + ,292.86 + ,292.73 + ,296.73 + ,285.02 + ,285.24 + ,288.62 + ,283.36 + ,285.84 + ,291.48 + ,291.41 + ,287.77 + ,284.97 + ,286.05 + ,278.19 + ,281.21 + ,277.92 + ,280.08 + ,269.24 + ,268.48 + ,268.83 + ,269.54 + ,262.37 + ,265.12 + ,265.34 + ,263.32 + ,267.18 + ,260.75 + ,261.78 + ,257.27 + ,255.63 + ,251.39 + ,259.49 + ,261.18 + ,261.65 + ,262.01 + ,265.23 + ,268.10 + ,262.27 + ,263.59 + ,257.85 + ,265.69 + ,271.15 + ,266.69 + ,265.77 + ,262.32 + ,270.48 + ,273.03 + ,269.13 + ,280.65 + ,282.75 + ,281.44 + ,281.99 + ,282.86 + ,287.21 + ,283.11 + ,280.66 + ,282.39 + ,280.83 + ,284.71 + ,279.99 + ,283.50 + ,284.88 + ,288.60 + ,284.80 + ,287.20 + ,286.22 + ,286.54 + ,279.58 + ,283.08 + ,288.88 + ,280.18 + ,284.16 + ,290.57 + ,286.82 + ,273.00 + ,278.69 + ,264.54 + ,271.92 + ,283.60 + ,269.25 + ,263.58 + ,264.16 + ,268.85 + ,269.67 + ,249.41 + ,268.99 + ,268.65 + ,260.16 + ,256.55 + ,251.47 + ,234.93 + ,232.96 + ,215.49 + ,213.68 + ,236.07 + ,235.41 + ,214.77 + ,225.85 + ,224.64 + ,238.26 + ,232.44 + ,222.50 + ,225.28 + ,220.49 + ,216.86 + ,234.70 + ,230.06 + ,238.27 + ,238.56 + ,242.70 + ,249.14 + ,234.89 + ,227.78 + ,234.04 + ,230.70 + ,230.17 + ,218.23 + ,232.20 + ,220.76 + ,215.60 + ,217.69 + ,204.35 + ,191.44 + ,203.84 + ,211.86 + ,210.57 + ,219.57 + ,219.98 + ,226.01 + ,207.04 + ,212.52 + ,217.92 + ,210.45 + ,218.53 + ,223.32 + ,218.76 + ,217.63) > par5 = '1' > par4 = '0' > par3 = '1' > par2 = '1' > par1 = '48' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1nl3y1229550185.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2wl431229550185.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.226173549 -0.090782781 0.088800029 -0.040499387 [6] 0.003961423 -0.027461766 -0.065853696 0.113433338 -0.049589011 [11] 0.066575109 0.048933266 -0.054633841 0.036698043 -0.012876184 [16] -0.141861510 0.040161365 0.062497322 -0.074077852 -0.016253277 [21] 0.025607406 -0.062514452 0.032942480 -0.020522620 -0.012387728 [26] -0.007923845 0.032805047 -0.019348800 -0.018655368 0.063073859 [31] 0.012189919 -0.091364161 0.039948448 -0.028824469 -0.023309429 [36] -0.058260691 -0.002443793 0.091022970 -0.035600632 -0.004452556 [41] -0.004288880 -0.016345360 0.046622616 -0.072827401 -0.091520354 [46] 0.063494502 0.055498822 -0.067121246 0.021728446 > (mypacf <- c(rpacf$acf)) [1] -0.2261735493 -0.1495894242 0.0338101319 -0.0248178277 0.0036341619 [6] -0.0390267450 -0.0841979821 0.0745179925 -0.0164878961 0.0856621746 [11] 0.0687552853 -0.0047902801 0.0229682775 -0.0077084790 -0.1358107190 [16] -0.0434306536 0.0569408562 -0.0436091010 -0.0507421187 -0.0111936626 [21] -0.0937718016 -0.0093778000 -0.0030588176 -0.0096803960 -0.0157642075 [26] 0.0541550042 -0.0192522835 -0.0235322722 0.0774941851 0.0198756167 [31] -0.0608282440 0.0265587241 -0.0559857772 -0.0571832902 -0.0850617966 [36] -0.0628155882 0.0481638312 0.0074776632 -0.0098623924 -0.0558114059 [41] -0.0004744742 0.0305449716 -0.0490064411 -0.0767512133 -0.0001800220 [46] 0.0514459125 -0.0346525160 -0.0043445311 > 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/3wh221229550185.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/431jm1229550185.tab") > > system("convert tmp/1nl3y1229550185.ps tmp/1nl3y1229550185.png") > system("convert tmp/2wl431229550185.ps tmp/2wl431229550185.png") > > > proc.time() user system elapsed 0.625 0.312 0.754