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Data X:
12.9 0 "'S'" 12.2 1 "'S'" 12.8 0 "'S'" 7.4 1 "'S'" 6.7 1 "'S'" 12.6 1 "'S'" 14.8 0 "'S'" 13.3 1 "'S'" 11.1 1 "'S'" 8.2 1 "'S'" 11.4 1 "'S'" 6.4 1 "'S'" 10.6 1 "'S'" 12 0 "'S'" 6.3 0 "'S'" 11.3 0 "'B'" 11.9 1 "'S'" 9.3 0 "'S'" 9.6 1 "'B'" 10 0 "'S'" 6.4 1 "'S'" 13.8 1 "'S'" 10.8 0 "'S'" 13.8 1 "'S'" 11.7 1 "'S'" 10.9 1 "'S'" 16.1 1 "'B'" 13.4 0 "'B'" 9.9 1 "'S'" 11.5 0 "'S'" 8.3 0 "'S'" 11.7 0 "'S'" 9 1 "'S'" 9.7 1 "'S'" 10.8 1 "'S'" 10.3 1 "'S'" 10.4 0 "'S'" 12.7 1 "'B'" 9.3 1 "'S'" 11.8 0 "'S'" 5.9 1 "'S'" 11.4 1 "'S'" 13 1 "'S'" 10.8 1 "'S'" 12.3 1 "'B'" 11.3 0 "'S'" 11.8 1 "'S'" 7.9 1 "'B'" 12.7 0 "'S'" 12.3 1 "'B'" 11.6 1 "'B'" 6.7 1 "'B'" 10.9 1 "'S'" 12.1 1 "'B'" 13.3 1 "'S'" 10.1 1 "'S'" 5.7 0 "'B'" 14.3 1 "'S'" 8 0 "'B'" 13.3 1 "'B'" 9.3 1 "'S'" 12.5 0 "'S'" 7.6 0 "'S'" 15.9 1 "'S'" 9.2 0 "'S'" 9.1 1 "'B'" 11.1 0 "'S'" 13 1 "'S'" 14.5 1 "'S'" 12.2 0 "'B'" 12.3 0 "'S'" 11.4 0 "'S'" 8.8 0 "'B'" 14.6 1 "'B'" 12.6 0 "'S'" 13 0 "'S'" 12.6 1 "'B'" 13.2 0 "'S'" 9.9 0 "'B'" 7.7 1 "'S'" 10.5 0 "'B'" 13.4 0 "'B'" 10.9 0 "'B'" 4.3 1 "'B'" 10.3 0 "'B'" 11.8 1 "'B'" 11.2 1 "'B'" 11.4 0 "'B'" 8.6 0 "'B'" 13.2 0 "'B'" 12.6 1 "'B'" 5.6 1 "'B'" 9.9 1 "'B'" 8.8 0 "'B'" 7.7 1 "'B'" 9 0 "'B'" 7.3 1 "'B'" 11.4 1 "'B'" 13.6 1 "'B'" 7.9 1 "'B'" 10.7 1 "'B'" 10.3 0 "'B'" 8.3 1 "'B'" 9.6 1 "'B'" 14.2 1 "'B'" 8.5 0 "'B'" 13.5 0 "'B'" 4.9 0 "'B'" 6.4 0 "'B'" 9.6 0 "'B'" 11.6 0 "'B'" 11.1 1 "'B'" 4.35 1 "'S'" 12.7 1 "'S'" 18.1 1 "'S'" 17.85 1 "'S'" 16.6 0 "'B'" 12.6 1 "'B'" 17.1 1 "'S'" 19.1 0 "'S'" 16.1 1 "'S'" 13.35 0 "'S'" 18.4 0 "'S'" 14.7 1 "'S'" 10.6 1 "'S'" 12.6 1 "'S'" 16.2 1 "'S'" 13.6 1 "'S'" 18.9 1 "'B'" 14.1 1 "'S'" 14.5 1 "'S'" 16.15 0 "'S'" 14.75 1 "'S'" 14.8 1 "'S'" 12.45 1 "'S'" 12.65 1 "'S'" 17.35 1 "'S'" 8.6 1 "'S'" 18.4 0 "'S'" 16.1 1 "'S'" 11.6 1 "'B'" 17.75 1 "'S'" 15.25 1 "'S'" 17.65 1 "'S'" 16.35 0 "'S'" 17.65 0 "'S'" 13.6 1 "'S'" 14.35 0 "'S'" 14.75 0 "'S'" 18.25 1 "'S'" 9.9 0 "'S'" 16 1 "'S'" 18.25 1 "'S'" 16.85 0 "'S'" 14.6 1 "'B'" 13.85 1 "'B'" 18.95 1 "'S'" 15.6 0 "'S'" 14.85 0 "'B'" 11.75 0 "'B'" 18.45 0 "'B'" 15.9 1 "'B'" 17.1 0 "'S'" 16.1 1 "'S'" 19.9 0 "'B'" 10.95 1 "'B'" 18.45 0 "'B'" 15.1 1 "'B'" 15 0 "'B'" 11.35 0 "'B'" 15.95 1 "'B'" 18.1 0 "'B'" 14.6 1 "'B'" 15.4 1 "'S'" 15.4 1 "'S'" 17.6 1 "'B'" 13.35 1 "'S'" 19.1 0 "'S'" 15.35 1 "'B'" 7.6 0 "'S'" 13.4 0 "'B'" 13.9 0 "'B'" 19.1 1 "'S'" 15.25 0 "'B'" 12.9 1 "'B'" 16.1 0 "'B'" 17.35 0 "'B'" 13.15 0 "'B'" 12.15 0 "'B'" 12.6 1 "'B'" 10.35 1 "'B'" 15.4 1 "'B'" 9.6 1 "'B'" 18.2 0 "'B'" 13.6 0 "'B'" 14.85 1 "'B'" 14.75 0 "'S'" 14.1 0 "'B'" 14.9 0 "'B'" 16.25 0 "'B'" 19.25 1 "'S'" 13.6 1 "'B'" 13.6 0 "'S'" 15.65 0 "'B'" 12.75 1 "'S'" 14.6 0 "'B'" 9.85 1 "'S'" 12.65 1 "'B'" 19.2 0 "'B'" 16.6 1 "'B'" 11.2 1 "'B'" 15.25 1 "'S'" 11.9 0 "'S'" 13.2 0 "'B'" 16.35 0 "'S'" 12.4 1 "'S'" 15.85 1 "'B'" 18.15 1 "'S'" 11.15 1 "'B'" 15.65 0 "'B'" 17.75 0 "'S'" 7.65 0 "'B'" 12.35 1 "'S'" 15.6 1 "'S'" 19.3 0 "'S'" 15.2 0 "'B'" 17.1 0 "'S'" 15.6 1 "'B'" 18.4 1 "'S'" 19.05 0 "'S'" 18.55 0 "'S'" 19.1 0 "'S'" 13.1 1 "'B'" 12.85 1 "'S'" 9.5 1 "'S'" 4.5 1 "'S'" 11.85 0 "'B'" 13.6 1 "'S'" 11.7 1 "'S'" 12.4 1 "'B'" 13.35 0 "'S'" 11.4 0 "'B'" 14.9 1 "'B'" 19.9 0 "'B'" 11.2 1 "'B'" 14.6 1 "'B'" 17.6 0 "'S'" 14.05 1 "'S'" 16.1 0 "'S'" 13.35 1 "'S'" 11.85 1 "'S'" 11.95 0 "'S'" 14.75 1 "'B'" 15.15 0 "'B'" 13.2 1 "'S'" 16.85 0 "'B'" 7.85 1 "'B'" 7.7 0 "'S'" 12.6 0 "'B'" 7.85 1 "'B'" 10.95 1 "'B'" 12.35 0 "'B'" 9.95 1 "'B'" 14.9 1 "'B'" 16.65 0 "'B'" 13.4 1 "'B'" 13.95 0 "'B'" 15.7 0 "'B'" 16.85 1 "'B'" 10.95 1 "'B'" 15.35 0 "'B'" 12.2 1 "'B'" 15.1 0 "'B'" 17.75 0 "'B'" 15.2 1 "'B'" 14.6 0 "'S'" 16.65 0 "'B'" 8.1 1 "'B'"
Names of X columns:
TOT Gender Course
Response : Variable 1
Factor : Variable 2
Factor : Variable 3
Include Intercept Term ?
TRUE
TRUE
FALSE
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
cat1 <- as.numeric(par1) # cat2<- as.numeric(par2) # cat3 <- as.numeric(par3) intercept<-as.logical(par4) x <- t(x) x1<-as.numeric(x[,cat1]) f1<-as.character(x[,cat2]) f2 <- as.character(x[,cat3]) xdf<-data.frame(x1,f1, f2) (V1<-dimnames(y)[[1]][cat1]) (V2<-dimnames(y)[[1]][cat2]) (V3 <-dimnames(y)[[1]][cat3]) names(xdf)<-c('Response', 'Treatment_A', 'Treatment_B') if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment_A * Treatment_B- 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment_A * Treatment_B, data = xdf) ) (aov.xdf<-aov(lmxdf) ) (anova.xdf<-anova(lmxdf) ) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'ANOVA Model', length(lmxdf$coefficients)+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, lmxdf$call['formula'],length(lmxdf$coefficients)+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'means',,TRUE) for(i in 1:length(lmxdf$coefficients)){ a<-table.element(a, round(lmxdf$coefficients[i], digits=3),,FALSE) } a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'ANOVA Statistics', 5+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, ' ',,TRUE) a<-table.element(a, 'Df',,FALSE) a<-table.element(a, 'Sum Sq',,FALSE) a<-table.element(a, 'Mean Sq',,FALSE) a<-table.element(a, 'F value',,FALSE) a<-table.element(a, 'Pr(>F)',,FALSE) a<-table.row.end(a) for(i in 1 : length(rownames(anova.xdf))-1){ a<-table.row.start(a) a<-table.element(a,rownames(anova.xdf)[i] ,,TRUE) a<-table.element(a, anova.xdf$Df[1],,FALSE) a<-table.element(a, round(anova.xdf$'Sum Sq'[i], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'Mean Sq'[i], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'F value'[i], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'Pr(>F)'[i], digits=3),,FALSE) a<-table.row.end(a) } a<-table.row.start(a) a<-table.element(a, 'Residuals',,TRUE) a<-table.element(a, anova.xdf$'Df'[i+1],,FALSE) a<-table.element(a, round(anova.xdf$'Sum Sq'[i+1], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'Mean Sq'[i+1], digits=3),,FALSE) a<-table.element(a, ' ',,FALSE) a<-table.element(a, ' ',,FALSE) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab') bitmap(file='anovaplot.png') boxplot(Response ~ Treatment_A + Treatment_B, data=xdf, xlab=V2, ylab=V1, main='Boxplots of ANOVA Groups') dev.off() bitmap(file='designplot.png') xdf2 <- xdf # to preserve xdf make copy for function names(xdf2) <- c(V1, V2, V3) plot.design(xdf2, main='Design Plot of Group Means') dev.off() bitmap(file='interactionplot.png') interaction.plot(xdf$Treatment_A, xdf$Treatment_B, xdf$Response, xlab=V2, ylab=V1, trace.label=V3, main='Possible Interactions Between Anova Groups') dev.off() if(intercept==TRUE){ thsd<-TukeyHSD(aov.xdf) names(thsd) <- c(V2, V3, paste(V2, ':', V3, sep='')) bitmap(file='TukeyHSDPlot.png') layout(matrix(c(1,2,3,3), 2,2)) plot(thsd, las=1) dev.off() } if(intercept==TRUE){ ntables<-length(names(thsd)) a<-table.start() a<-table.row.start(a) a<-table.element(a,'Tukey Honest Significant Difference Comparisons', 5,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, ' ', 1, TRUE) for(i in 1:4){ a<-table.element(a,colnames(thsd[[1]])[i], 1, TRUE) } a<-table.row.end(a) for(nt in 1:ntables){ for(i in 1:length(rownames(thsd[[nt]]))){ a<-table.row.start(a) a<-table.element(a,rownames(thsd[[nt]])[i], 1, TRUE) for(j in 1:4){ a<-table.element(a,round(thsd[[nt]][i,j], digits=3), 1, FALSE) } a<-table.row.end(a) } } # end nt a<-table.end(a) table.save(a,file='hsdtable.tab') }#end if hsd tables if(intercept==FALSE){ a<-table.start() a<-table.row.start(a) a<-table.element(a,'TukeyHSD Message', 1,TRUE) a<-table.row.end(a) a<-table.start() a<-table.row.start(a) a<-table.element(a,'Must Include Intercept to use Tukey Test ', 1, FALSE) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable2.tab') } library(car) lt.lmxdf<-levene.test(lmxdf) a<-table.start() a<-table.row.start(a) a<-table.element(a,'Levenes Test for Homogeneity of Variance', 4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,' ', 1, TRUE) for (i in 1:3){ a<-table.element(a,names(lt.lmxdf)[i], 1, FALSE) } a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Group', 1, TRUE) for (i in 1:3){ a<-table.element(a,round(lt.lmxdf[[i]][1], digits=3), 1, FALSE) } a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,' ', 1, TRUE) a<-table.element(a,lt.lmxdf[[1]][2], 1, FALSE) a<-table.element(a,' ', 1, FALSE) a<-table.element(a,' ', 1, FALSE) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable3.tab')
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