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Type 'q()' to quit R. > y <- c(332,369,384,373,378,426,423,397,422,409,430,412,470,491,504,484,474,508,492,452,457,457,471,451,493,514,522,490,484,506,501,462,465,454,464,427,460,473,465,422,415,413,420,363,376,380,384,346,389,407,393,346,348,353,364,305,307,312,312,286,324,336,327,302,299,311,315,264,278,278,287,279,324,354,354,360,363,385,412,370,389,395,417,404) > x <- c(3111,3995,5245,5588,10681,10516,7496,9935,10249,6271,3616,3724,2886,3318,4166,6401,9209,9820,7470,8207,9564,5309,3385,3706,2733,3045,3449,5542,10072,9418,7516,7840,10081,4956,3641,3970,2931,3170,3889,4850,8037,12370,6712,7297,10613,5184,3506,3810,2692,3073,3713,4555,7807,10869,9682,7704,9826,5456,3677,3431,2765,3483,3445,6081,8767,9407,6551,12480,9530,5960,3252,3717,2642,2989,3607,5366,8898,9435,7328,8594,11349,5797,3621,3851) > par1 = '0' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > library(lattice) > z <- as.data.frame(cbind(x,y)) > m <- lm(y~x) > summary(m) Call: lm(formula = y ~ x) Residuals: Min 1Q Median 3Q Max -126.1117 -49.3041 0.4352 59.4561 120.8714 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 405.335949 18.067533 22.434 <2e-16 *** x -0.001220 0.002656 -0.459 0.647 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 68.69 on 82 degrees of freedom Multiple R-squared: 0.002566, Adjusted R-squared: -0.009598 F-statistic: 0.2109 on 1 and 82 DF, p-value: 0.6473 > postscript(file="/var/www/html/rcomp/tmp/1e7zd1292678522.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(z,main='Scatterplot, lowess, and regression line') > lines(lowess(z),col='red') > abline(m) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2e7zd1292678522.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > m2 <- lm(m$fitted.values ~ x) > summary(m2) Call: lm(formula = m$fitted.values ~ x) Residuals: Min 1Q Median 3Q Max -8.943e-13 -5.468e-15 1.269e-14 2.594e-14 5.150e-14 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 4.053e+02 2.667e-14 1.520e+16 <2e-16 *** x -1.220e-03 3.921e-18 -3.111e+14 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 1.014e-13 on 82 degrees of freedom Multiple R-squared: 1, Adjusted R-squared: 1 F-statistic: 9.679e+28 on 1 and 82 DF, p-value: < 2.2e-16 > z2 <- as.data.frame(cbind(x,m$fitted.values)) > names(z2) <- list('x','Fitted') > plot(z2,main='Scatterplot, lowess, and regression line') > lines(lowess(z2),col='red') > abline(m2) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/3pgyy1292678522.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > m3 <- lm(m$residuals ~ x) > summary(m3) Call: lm(formula = m$residuals ~ x) Residuals: Min 1Q Median 3Q Max -126.1117 -49.3041 0.4352 59.4561 120.8714 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3.201e-15 1.807e+01 1.77e-16 1 x 1.236e-18 2.656e-03 4.66e-16 1 Residual standard error: 68.69 on 82 degrees of freedom Multiple R-squared: 3.658e-32, Adjusted R-squared: -0.0122 F-statistic: 3e-30 on 1 and 82 DF, p-value: 1 > z3 <- as.data.frame(cbind(x,m$residuals)) > names(z3) <- list('x','Residuals') > plot(z3,main='Scatterplot, lowess, and regression line') > lines(lowess(z3),col='red') > abline(m3) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4z7f11292678522.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > m4 <- lm(m$fitted.values ~ m$residuals) > summary(m4) Call: lm(formula = m$fitted.values ~ m$residuals) Residuals: Min 1Q Median 3Q Max -7.674 -3.184 0.842 3.135 4.327 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3.978e+02 3.801e-01 1047 <2e-16 *** m$residuals 1.349e-16 5.601e-03 2.41e-14 1 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 3.484 on 82 degrees of freedom Multiple R-squared: 7.306e-28, Adjusted R-squared: -0.0122 F-statistic: 5.991e-26 on 1 and 82 DF, p-value: 1 > z4 <- as.data.frame(cbind(m$residuals,m$fitted.values)) > names(z4) <- list('Residuals','Fitted') > plot(z4,main='Scatterplot, lowess, and regression line') > lines(lowess(z4),col='red') > abline(m4) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5z7f11292678522.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > myr <- as.ts(m$residuals) > z5 <- as.data.frame(cbind(lag(myr,1),myr)) > names(z5) <- list('Lagged Residuals','Residuals') > plot(z5,main='Lag plot') > m5 <- lm(z5) > summary(m5) Call: lm(formula = z5) Residuals: Min 1Q Median 3Q Max -64.3508 -13.2070 -0.2505 16.5809 56.8850 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.87552 2.65180 0.33 0.742 Residuals 0.93015 0.03884 23.95 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 24.16 on 81 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.8762, Adjusted R-squared: 0.8747 F-statistic: 573.5 on 1 and 81 DF, p-value: < 2.2e-16 > abline(m5) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6szwm1292678522.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(m$residuals,main='Residual Histogram',xlab='Residuals') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/7szwm1292678522.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > if (par1 > 0) + { + densityplot(~m$residuals,col='black',main=paste('Density Plot bw = ',par1),bw=par1) + } else { + densityplot(~m$residuals,col='black',main='Density Plot') + } > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/8l8wp1292678522.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(m$residuals,main='Residual Autocorrelation Function') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/9l8wp1292678522.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qqnorm(x) > qqline(x) > grid() > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Simple Linear Regression',5,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Statistics',1,TRUE) > a<-table.element(a,'Estimate',1,TRUE) > a<-table.element(a,'S.D.',1,TRUE) > a<-table.element(a,'T-STAT (H0: coeff=0)',1,TRUE) > a<-table.element(a,'P-value (two-sided)',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'constant term',header=TRUE) > a<-table.element(a,m$coefficients[[1]]) > sd <- sqrt(vcov(m)[1,1]) > a<-table.element(a,sd) > tstat <- m$coefficients[[1]]/sd > a<-table.element(a,tstat) > pval <- 2*(1-pt(abs(tstat),length(x)-2)) > a<-table.element(a,pval) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'slope',header=TRUE) > a<-table.element(a,m$coefficients[[2]]) > sd <- sqrt(vcov(m)[2,2]) > a<-table.element(a,sd) > tstat <- m$coefficients[[2]]/sd > a<-table.element(a,tstat) > pval <- 2*(1-pt(abs(tstat),length(x)-2)) > a<-table.element(a,pval) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/10zitg1292678522.tab") > > try(system("convert tmp/1e7zd1292678522.ps tmp/1e7zd1292678522.png",intern=TRUE)) character(0) > try(system("convert tmp/2e7zd1292678522.ps tmp/2e7zd1292678522.png",intern=TRUE)) character(0) > try(system("convert tmp/3pgyy1292678522.ps tmp/3pgyy1292678522.png",intern=TRUE)) character(0) > try(system("convert tmp/4z7f11292678522.ps tmp/4z7f11292678522.png",intern=TRUE)) character(0) > try(system("convert tmp/5z7f11292678522.ps tmp/5z7f11292678522.png",intern=TRUE)) character(0) > try(system("convert tmp/6szwm1292678522.ps tmp/6szwm1292678522.png",intern=TRUE)) character(0) > try(system("convert tmp/7szwm1292678522.ps tmp/7szwm1292678522.png",intern=TRUE)) character(0) > try(system("convert tmp/8l8wp1292678522.ps tmp/8l8wp1292678522.png",intern=TRUE)) character(0) > try(system("convert tmp/9l8wp1292678522.ps tmp/9l8wp1292678522.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.869 1.441 4.985