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Type 'q()' to quit R. > y <- c(7,5.5,3,6,4,5,5,5.5,8,5.5,6.5,6,4,6,5.5,2,4.5,4,4,7,7.5,8,4.5,7,5.5,4,4.5,4.5,4.5,4.5,5,8,5.5,4,4.5,8,5.5,8,6,6,7,4.5,5,4.5,5,6,7,7,5,7,8,4.5,5,3,4,6.5,5,4,3.5,7.5,4.5,5,6,6.5,5,5.5,4,4.5,6.5,5.5,4,4.5,4.5,7.5,4.5,5,7,6,6,5.5,7,3,6,4,7,5.5,5,7,6,5,7,2.5,5.5,5,4.5,5,8,6.5,4.5,5,5,3.5,4.5,4,7,7,4,4.5,7,7,4,4,4,3.5,3,4,3,5.5,7,5.5,5.5,5.5,7,4,10,5.5,4,5.5,5,7,5.5,4.5,4.5,4,5,6.5,6.5,6,4,6.5,7,6,7,7.5,6.5,8,4.5,4.5,4.5,4,3.5,8,5.5,4.5,5.5,4.5,7,6.5,8) > x <- c(8.7,7.7,8.3,7.7,6.3,9.7,8.3,7.0,7.3,8.3,8.0,6.0,7.3,5.0,7.3,9.3,6.7,4.0,8.0,6.7,7.0,6.7,7.0,7.7,9.3,8.0,8.0,8.0,7.7,7.7,9.7,8.0,6.0,8.3,7.0,8.7,7.3,7.3,7.3,7.7,10.0,7.7,5.7,7.7,7.7,8.3,8.0,8.0,7.7,7.0,8.0,8.0,9.3,5.3,6.7,9.7,9.0,7.3,9.3,5.3,8.3,8.0,9.3,8.0,7.7,10.0,8.0,7.0,8.3,8.3,7.3,7.7,8.7,7.7,8.3,7.0,8.3,8.0,9.7,7.3,9.0,8.7,7.3,8.0,9.0,8.0,8.0,9.7,7.3,7.0,8.0,8.0,7.7,6.7,9.0,8.7,8.3,7.0,7.0,6.3,7.0,7.0,5.3,7.3,9.7,5.0,5.7,5.0,7.0,7.0,6.3,8.0,6.7,5.7,7.7,8.0,4.7,6.3,8.0,4.3,7.3,5.3,6.3,8.3,8.3,7.7,8.0,8.7,8.7,8.3,6.0,7.0,8.7,7.7,7.7,7.3,6.7,4.3,8.0,5.0,4.7,7.3,3.3,8.0,7.3,8.0,6.3,6.7,4.3,6.7,7.3,8.0,9.7,4.0,6.7,7.0,8.0,7.3,6.7) > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > library(lattice) > z <- as.data.frame(cbind(x,y)) > m <- lm(y~x) > summary(m) Call: lm(formula = y ~ x) Residuals: Min 1Q Median 3Q Max -3.5840 -0.9877 -0.1136 1.0752 4.4901 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 4.89529 0.64561 7.582 2.78e-12 *** x 0.07405 0.08543 0.867 0.387 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.401 on 157 degrees of freedom Multiple R-squared: 0.004763, Adjusted R-squared: -0.001576 F-statistic: 0.7513 on 1 and 157 DF, p-value: 0.3874 > postscript(file="/var/www/html/freestat/rcomp/tmp/1edtp1289749535.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(z,main='Scatterplot, lowess, and regression line') > lines(lowess(z),col='red') > abline(m) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/2edtp1289749535.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > m2 <- lm(m$fitted.values ~ x) > summary(m2) Call: lm(formula = m$fitted.values ~ x) Residuals: Min 1Q Median 3Q Max -5.565e-16 -2.652e-16 -3.175e-17 3.285e-16 2.487e-15 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 4.895e+00 1.718e-16 2.849e+16 <2e-16 *** x 7.405e-02 2.274e-17 3.256e+15 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 3.73e-16 on 157 degrees of freedom Multiple R-squared: 1, Adjusted R-squared: 1 F-statistic: 1.06e+31 on 1 and 157 DF, p-value: < 2.2e-16 > z2 <- as.data.frame(cbind(x,m$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/freestat/rcomp/tmp/3pnas1289749535.ps",horizontal=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 -3.5840 -0.9877 -0.1136 1.0752 4.4901 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 2.344e-17 6.456e-01 3.63e-17 1 x 4.032e-19 8.543e-02 4.72e-18 1 Residual standard error: 1.401 on 157 degrees of freedom Multiple R-squared: 1.865e-33, Adjusted R-squared: -0.006369 F-statistic: 2.929e-31 on 1 and 157 DF, p-value: 1 > z3 <- as.data.frame(cbind(x,m$residuals)) > names(z3) <- list('x','Residuals') > plot(z3,main='Scatterplot, lowess, and regression line') > lines(lowess(z3),col='red') > abline(m3) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/4iw9d1289749535.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > m4 <- lm(m$fitted.values ~ m$residuals) > summary(m4) Call: lm(formula = m$fitted.values ~ m$residuals) Residuals: Min 1Q Median 3Q Max -0.30688 -0.03288 0.01896 0.05228 0.18928 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 5.447e+00 7.688e-03 708.4 <2e-16 *** m$residuals -2.784e-17 5.521e-03 -5.04e-15 1 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.09694 on 157 degrees of freedom Multiple R-squared: 2.139e-30, Adjusted R-squared: -0.006369 F-statistic: 3.358e-28 on 1 and 157 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/freestat/rcomp/tmp/5iw9d1289749535.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > myr <- as.ts(m$residuals) > z5 <- as.data.frame(cbind(lag(myr,1),myr)) > names(z5) <- list('Lagged Residuals','Residuals') > plot(z5,main='Lag plot') > m5 <- lm(z5) > summary(m5) Call: lm(formula = z5) Residuals: Min 1Q Median 3Q Max -3.5825 -1.0150 -0.2578 1.0264 4.6433 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.007652 0.110950 -0.069 0.945 Residuals 0.096389 0.080316 1.200 0.232 Residual standard error: 1.395 on 156 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.009148, Adjusted R-squared: 0.002797 F-statistic: 1.44 on 1 and 156 DF, p-value: 0.2319 > abline(m5) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/6tn8g1289749535.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(m$residuals,main='Residual Histogram',xlab='Residuals') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/7lw8j1289749535.ps",horizontal=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/freestat/rcomp/tmp/8lw8j1289749535.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(m$residuals,main='Residual Autocorrelation Function') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/9lw8j1289749535.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qqnorm(x) > qqline(x) > grid() > dev.off() null device 1 > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Simple Linear Regression',5,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Statistics',1,TRUE) > a<-table.element(a,'Estimate',1,TRUE) > a<-table.element(a,'S.D.',1,TRUE) > a<-table.element(a,'T-STAT (H0: coeff=0)',1,TRUE) > a<-table.element(a,'P-value (two-sided)',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'constant term',header=TRUE) > a<-table.element(a,m$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/freestat/rcomp/tmp/10axmd1289749535.tab") > > try(system("convert tmp/1edtp1289749535.ps tmp/1edtp1289749535.png",intern=TRUE)) character(0) > try(system("convert tmp/2edtp1289749535.ps tmp/2edtp1289749535.png",intern=TRUE)) character(0) > try(system("convert tmp/3pnas1289749535.ps tmp/3pnas1289749535.png",intern=TRUE)) character(0) > try(system("convert tmp/4iw9d1289749535.ps tmp/4iw9d1289749535.png",intern=TRUE)) character(0) > try(system("convert tmp/5iw9d1289749535.ps tmp/5iw9d1289749535.png",intern=TRUE)) character(0) > try(system("convert tmp/6tn8g1289749535.ps tmp/6tn8g1289749535.png",intern=TRUE)) character(0) > try(system("convert tmp/7lw8j1289749535.ps tmp/7lw8j1289749535.png",intern=TRUE)) character(0) > try(system("convert tmp/8lw8j1289749535.ps tmp/8lw8j1289749535.png",intern=TRUE)) character(0) > try(system("convert tmp/9lw8j1289749535.ps tmp/9lw8j1289749535.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.919 2.156 3.203