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Type 'q()' to quit R. > x <- array(list(426 + ,7.1 + ,3.2 + ,24776 + ,3 + ,396 + ,7.2 + ,2.9 + ,19814 + ,3 + ,458 + ,7.2 + ,2.7 + ,12738 + ,3 + ,315 + ,7.1 + ,3.1 + ,31566 + ,3 + ,337 + ,6.9 + ,2.7 + ,30111 + ,3 + ,386 + ,6.8 + ,2.6 + ,30019 + ,3 + ,352 + ,6.8 + ,1.8 + ,31934 + ,3 + ,384 + ,6.8 + ,2.3 + ,25826 + ,3 + ,439 + ,6.9 + ,2.2 + ,26835 + ,3.18 + ,397 + ,7.1 + ,1.8 + ,20205 + ,3.25 + ,453 + ,7.2 + ,1.4 + ,17789 + ,3.25 + ,364 + ,7.2 + ,0.3 + ,20520 + ,3.23 + ,367 + ,7.1 + ,0.8 + ,22518 + ,2.92 + ,474 + ,7.1 + ,-0.5 + ,15572 + ,2.25 + ,373 + ,7.2 + ,-2.2 + ,11509 + ,1.62 + ,404 + ,7.5 + ,-2.9 + ,25447 + ,1 + ,385 + ,7.7 + ,-5.1 + ,24090 + ,0.66 + ,365 + ,7.8 + ,-7.2 + ,27786 + ,0.31 + ,366 + ,7.7 + ,-7.9 + ,26195 + ,0.25 + ,421 + ,7.7 + ,-10.9 + ,20516 + ,0.25 + ,354 + ,7.8 + ,-12.7 + ,22759 + ,0.25 + ,367 + ,8 + ,-14 + ,19028 + ,0.25 + ,413 + ,8.1 + ,-15.6 + ,16971 + ,0.25 + ,362 + ,8.1 + ,-16 + ,20036 + ,0.25 + ,385 + ,8 + ,-17.2 + ,22485 + ,0.25 + ,343 + ,8.1 + ,-17.6 + ,18730 + ,0.25 + ,369 + ,8.2 + ,-15.5 + ,14538 + ,0.25 + ,363 + ,8.4 + ,-13.7 + ,27561 + ,0.25 + ,318 + ,8.5 + ,-11.4 + ,25985 + ,0.25 + ,393 + ,8.5 + ,-9.2 + ,34670 + ,0.25 + ,325 + ,8.5 + ,-6.3 + ,32066 + ,0.25 + ,403 + ,8.5 + ,-3.1 + ,27186 + ,0.25 + ,392 + ,8.5 + ,0 + ,29586 + ,0.25 + ,409 + ,8.4 + ,3 + ,21359 + ,0.25 + ,485 + ,8.3 + ,5.4 + ,21553 + ,0.25 + ,423 + ,8.2 + ,7.6 + ,19573 + ,0.25 + ,428 + ,8.1 + ,9.7 + ,24256 + ,0.25 + ,431 + ,7.9 + ,12 + ,22380 + ,0.25 + ,416 + ,7.6 + ,11.6 + ,16167 + ,0.25 + ,330 + ,7.3 + ,10 + ,27297 + ,0.25 + ,314 + ,7.1 + ,10.8 + ,28287 + ,0.25 + ,345 + ,7 + ,11.3 + ,33474 + ,0.39 + ,365 + ,7.1 + ,10.1 + ,28229 + ,0.5 + ,417 + ,7.1 + ,9.4 + ,28785 + ,0.5 + ,356 + ,7.1 + ,9.6 + ,25597 + ,0.65 + ,477 + ,7.3 + ,7.9 + ,18130 + ,0.75 + ,423 + ,7.3 + ,7.3 + ,20198 + ,0.75 + ,386 + ,7.3 + ,6.2 + ,22849 + ,0.75 + ,390 + ,7.2 + ,4.9 + ,23118 + ,0.57 + ,407 + ,7.2 + ,3.6 + ,21925 + ,0.36 + ,398 + ,7.1 + ,2.9 + ,20801 + ,0.25 + ,327 + ,7.1 + ,3.1 + ,18785 + ,0.25 + ,304 + ,7.1 + ,1.7 + ,20659 + ,0.25 + ,378 + ,7.2 + ,0.6 + ,29367 + ,0.25 + ,311 + ,7.3 + ,-0.4 + ,23992 + ,0.25 + ,376 + ,7.4 + ,-1.1 + ,20645 + ,0.25 + ,340 + ,7.4 + ,-2.9 + ,22356 + ,0.08 + ,383 + ,7.5 + ,-2.8 + ,17902 + ,0 + ,467 + ,7.4 + ,-3 + ,15879 + ,0 + ,439 + ,7.4 + ,-3.2 + ,16963 + ,0) + ,dim=c(5 + ,60) + ,dimnames=list(c('bouwvergunningen' + ,'werkloosheidsgraad' + ,'uitvoer' + ,'personenwagens' + ,'rentetarieven') + ,1:60)) > y <- array(NA,dim=c(5,60),dimnames=list(c('bouwvergunningen','werkloosheidsgraad','uitvoer','personenwagens','rentetarieven'),1:60)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par3 = 'FALSE' > par2 = '4' > par1 = '2' > ylab = 'Y Variable Name' > xlab = 'X Variable Name' > main = 'Title Goes Here' > par3 <- 'FALSE' > par2 <- '4' > par1 <- '2' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: aston2 > #To cite this work: Ian E. Holliday, 2012, Simple Linear Regression (v1.0.5) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_Simple%20Regression%20Y%20~%20X.wasp/ > #Source of accompanying publication: > # > cat1 <- as.numeric(par1) > cat2<- as.numeric(par2) > intercept<-as.logical(par3) > x <- t(x) > xdf<-data.frame(t(y)) > (V1<-dimnames(y)[[1]][cat1]) [1] "werkloosheidsgraad" > (V2<-dimnames(y)[[1]][cat2]) [1] "personenwagens" > xdf <- data.frame(xdf[[cat1]], xdf[[cat2]]) > names(xdf)<-c('Y', 'X') > if(intercept == FALSE) (lmxdf<-lm(Y~ X - 1, data = xdf) ) else (lmxdf<-lm(Y~ X, data = xdf) ) Call: lm(formula = Y ~ X - 1, data = xdf) Coefficients: X 0.0003097 > sumlmxdf<-summary(lmxdf) > (aov.xdf<-aov(lmxdf) ) Call: aov(formula = lmxdf) Terms: X Residuals Sum of Squares 3235.518 180.952 Deg. of Freedom 1 59 Residual standard error: 1.751279 Estimated effects are balanced > (anova.xdf<-anova(lmxdf) ) Analysis of Variance Table Response: Y Df Sum Sq Mean Sq F value Pr(>F) X 1 3235.5 3235.5 1055 < 2.2e-16 *** Residuals 59 181.0 3.1 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > a<-table.start() > nc <- ncol(sumlmxdf$'coefficients') > nr <- nrow(sumlmxdf$'coefficients') > a<-table.row.start(a) > a<-table.element(a,'Linear Regression Model', nc+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, lmxdf$call['formula'],nc+1) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'coefficients:',1,TRUE) > a<-table.element(a, ' ',nc,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ',1,TRUE) > for(i in 1 : nc){ + a<-table.element(a, dimnames(sumlmxdf$'coefficients')[[2]][i],1,TRUE) + }#end header > a<-table.row.end(a) > for(i in 1: nr){ + a<-table.element(a,dimnames(sumlmxdf$'coefficients')[[1]][i] ,1,TRUE) + for(j in 1 : nc){ + a<-table.element(a, round(sumlmxdf$coefficients[i, j], digits=3), 1 ,FALSE) + } + a<-table.row.end(a) + } > a<-table.row.start(a) > a<-table.element(a, '- - - ',1,TRUE) > a<-table.element(a, ' ',nc,FALSE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Residual Std. Err. ',1,TRUE) > a<-table.element(a, paste(round(sumlmxdf$'sigma', digits=3), ' on ', sumlmxdf$'df'[2], 'df') ,nc, FALSE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Multiple R-sq. ',1,TRUE) > a<-table.element(a, round(sumlmxdf$'r.squared', digits=3) ,nc, FALSE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Adjusted R-sq. ',1,TRUE) > a<-table.element(a, round(sumlmxdf$'adj.r.squared', digits=3) ,nc, FALSE) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/1s48t1356191023.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Statistics', 5+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ',1,TRUE) > a<-table.element(a, 'Df',1,TRUE) > a<-table.element(a, 'Sum Sq',1,TRUE) > a<-table.element(a, 'Mean Sq',1,TRUE) > a<-table.element(a, 'F value',1,TRUE) > a<-table.element(a, 'Pr(>F)',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, V2,1,TRUE) > a<-table.element(a, anova.xdf$Df[1]) > a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3)) > a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3)) > a<-table.element(a, round(anova.xdf$'F value'[1], digits=3)) > a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Residuals',1,TRUE) > a<-table.element(a, anova.xdf$Df[2]) > a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3)) > a<-table.element(a, round(anova.xdf$'Mean Sq'[2], digits=3)) > a<-table.element(a, ' ') > a<-table.element(a, ' ') > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/2o89n1356191023.tab") > postscript(file="/var/wessaorg/rcomp/tmp/3e2jw1356191023.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(Y~ X, data=xdf, xlab=V2, ylab=V1, main='Regression Solution') > if(intercept == TRUE) abline(coef(lmxdf), col='red') > if(intercept == FALSE) abline(0.0, coef(lmxdf), col='red') > dev.off() null device 1 > library(car) Loading required package: MASS Loading required package: nnet > postscript(file="/var/wessaorg/rcomp/tmp/4n3541356191023.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qq.plot(resid(lmxdf), main='QQplot of Residuals of Fit') Warning message: 'qq.plot' is deprecated. Use 'qqPlot' instead. See help("Deprecated") and help("car-deprecated"). > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5w2yk1356191023.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(xdf$X, resid(lmxdf), main='Scatterplot of Residuals of Model Fit') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/6e93v1356191023.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot.lm(lmxdf, which=4) > dev.off() null device 1 > > try(system("convert tmp/3e2jw1356191023.ps tmp/3e2jw1356191023.png",intern=TRUE)) character(0) > try(system("convert tmp/4n3541356191023.ps tmp/4n3541356191023.png",intern=TRUE)) character(0) > try(system("convert tmp/5w2yk1356191023.ps tmp/5w2yk1356191023.png",intern=TRUE)) character(0) > try(system("convert tmp/6e93v1356191023.ps tmp/6e93v1356191023.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.358 0.460 2.890