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Type 'q()' to quit R. > x <- array(list(84.0,82.4,90,131,88.8,87.0,137,82,87.0,81.8,182,152,84.5,80.4,72,72,69.4,69.0,143,126,104.7,102.0,96,157,90.0,87.6,115,88,89.4,86.8,124,123,95.2,92.8,188,255,108.1,100.9,167,87,93.9,90.2,143,213,83.4,75.0,143,102,104.4,102.9,276,313,103.7,95.7,84,84,99.2,99.2,142,135,95.6,88.5,64,114,126.0,123.2,226,152,103.7,95.5,199,120,133.1,130.8,212,156,85.0,80.0,268,250,83.8,77.9,111,107,104.5,98.3,132,117,76.8,73.2,165,96,90.5,88.9,57,63,106.9,103.7,163,131,81.5,78.9,111,54,96.5,94.9,300,241,103.0,97.2,192,124,127.5,124.7,176,215,103.2,102.0,146,138,113.5,115.0,446,795,107.0,99.2,232,63,106.0,103.5,255,204,114.9,105.3,187,144,103.4,96.0,154,96),dim=c(4,35),dimnames=list(c('web','wea','trib','tria'),1:35)) > y <- array(NA,dim=c(4,35),dimnames=list(c('web','wea','trib','tria'),1:35)) > 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 = '2' > par1 = '1' > ylab = 'Y Variable Name' > xlab = 'X Variable Name' > main = 'Title Goes Here' > 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] "web" > (V2<-dimnames(y)[[1]][cat2]) [1] "wea" > 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 6.2415 0.9756 > sumlmxdf<-summary(lmxdf) > (aov.xdf<-aov(lmxdf) ) Call: aov(formula = lmxdf) Terms: X Residuals Sum of Squares 6683.83 255.08 Deg. of Freedom 1 33 Residual standard error: 2.780234 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 6683.8 6683.8 864.69 < 2.2e-16 *** Residuals 33 255.1 7.7 --- 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) + }# end cols + a<-table.row.end(a) + } #end rows > 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/1m0h21338486216.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/2c9251338486216.tab") > postscript(file="/var/wessaorg/rcomp/tmp/3tgop1338486216.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 Loading required package: survival Loading required package: splines > postscript(file="/var/wessaorg/rcomp/tmp/45cw71338486216.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/58lrp1338486216.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/6knzx1338486216.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/3tgop1338486216.ps tmp/3tgop1338486216.png",intern=TRUE)) character(0) > try(system("convert tmp/45cw71338486216.ps tmp/45cw71338486216.png",intern=TRUE)) character(0) > try(system("convert tmp/58lrp1338486216.ps tmp/58lrp1338486216.png",intern=TRUE)) character(0) > try(system("convert tmp/6knzx1338486216.ps tmp/6knzx1338486216.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.434 0.354 1.786