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Type 'q()' to quit R. > x <- array(list(1.47,52.21,1.49,49.6,1.5,53.12,1.51,53.6,1.52,54.48,1.52,56.9,1.54,55.1,1.55,59.16,1.55,55.84,1.57,57.2,1.57,56.3,1.58,57.56,1.59,59.23,1.59,60.23,1.6,58.57,1.63,59.6,1.63,59.93,1.65,61.29,1.65,62.5,1.65,63.11,1.66,65.7,1.67,67.56,1.68,70.96,1.68,75.96,1.68,73.52,1.7,99.67,1.73,67.96,1.73,69.45,1.75,73.56,1.77,77.8,1.77,74,1.78,73.9,1.8,75.26,1.8,74.96,1.83,79.56,1.83,78.9,1.83,102.96,1.85,81.16,1.85,92.56,1.86,90,1.88,93.6,1.88,84.65,1.89,86.25,1.91,88.28,1.93,89.65,1.94,91.23,1.95,93.22,1.97,91,1.97,106.16,2.06,102),dim=c(2,50),dimnames=list(c('lengte(m)','gewicht(kg)'),1:50)) > y <- array(NA,dim=c(2,50),dimnames=list(c('lengte(m)','gewicht(kg)'),1:50)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par3 = 'TRUE' > par2 = '1' > par1 = '2' > ylab = 'Y Variable Name' > xlab = 'X Variable Name' > main = 'Title Goes Here' > par3 <- 'TRUE' > par2 <- '1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_Simple%20Regression%20Y%20~%20X.wasp/ > #Source of accompanying publication: > # > cat1 <- as.numeric(par1) > cat2<- as.numeric(par2) > intercept<-as.logical(par3) > x <- t(x) > xdf<-data.frame(t(y)) > (V1<-dimnames(y)[[1]][cat1]) [1] "gewicht(kg)" > (V2<-dimnames(y)[[1]][cat2]) [1] "lengte(m)" > xdf <- data.frame(xdf[[cat1]], xdf[[cat2]]) > names(xdf)<-c('Y', 'X') > if(intercept == FALSE) (lmxdf<-lm(Y~ X - 1, data = xdf) ) else (lmxdf<-lm(Y~ X, data = xdf) ) Call: lm(formula = Y ~ X, data = xdf) Coefficients: (Intercept) X -88.81 93.94 > sumlmxdf<-summary(lmxdf) > (aov.xdf<-aov(lmxdf) ) Call: aov(formula = lmxdf) Terms: X Residuals Sum of Squares 10125.776 1899.434 Deg. of Freedom 1 48 Residual standard error: 6.290591 Estimated effects may be unbalanced > (anova.xdf<-anova(lmxdf) ) Analysis of Variance Table Response: Y Df Sum Sq Mean Sq F value Pr(>F) X 1 10125.8 10125.8 255.89 < 2.2e-16 *** Residuals 48 1899.4 39.6 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > a<-table.start() > nc <- ncol(sumlmxdf$'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$'adj.r.squared', digits=3) ,nc, FALSE) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/1ptn21355678934.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Statistics', 5+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ',1,TRUE) > a<-table.element(a, 'Df',1,TRUE) > a<-table.element(a, 'Sum Sq',1,TRUE) > a<-table.element(a, 'Mean Sq',1,TRUE) > a<-table.element(a, 'F value',1,TRUE) > a<-table.element(a, 'Pr(>F)',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, V2,1,TRUE) > a<-table.element(a, anova.xdf$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$'Mean Sq'[2], digits=3)) > a<-table.element(a, ' ') > a<-table.element(a, ' ') > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/2zjfn1355678934.tab") > postscript(file="/var/wessaorg/rcomp/tmp/3xglz1355678934.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(Y~ X, data=xdf, xlab=V2, ylab=V1, main='Regression Solution') > if(intercept == TRUE) abline(coef(lmxdf), col='red') > if(intercept == FALSE) abline(0.0, coef(lmxdf), col='red') > dev.off() null device 1 > library(car) Loading required package: MASS Loading required package: nnet > postscript(file="/var/wessaorg/rcomp/tmp/4bne11355678934.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qq.plot(resid(lmxdf), main='QQplot of Residuals of Fit') Warning message: 'qq.plot' is deprecated. Use 'qqPlot' instead. See help("Deprecated") and help("car-deprecated"). > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5dwis1355678934.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(xdf$X, resid(lmxdf), main='Scatterplot of Residuals of Model Fit') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/6ugub1355678934.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/3xglz1355678934.ps tmp/3xglz1355678934.png",intern=TRUE)) character(0) > try(system("convert tmp/4bne11355678934.ps tmp/4bne11355678934.png",intern=TRUE)) character(0) > try(system("convert tmp/5dwis1355678934.ps tmp/5dwis1355678934.png",intern=TRUE)) character(0) > try(system("convert tmp/6ugub1355678934.ps tmp/6ugub1355678934.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.187 0.353 2.527