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Data X:
67 1 36 86 2 36 86 2 56 103 3 48 74 1 32 63 1 44 82 2 39 93 2 34 77 1 41 111 3 50 71 1 39 103 3 62 89 2 52 75 1 37 88 2 50 84 2 41 85 2 55 70 1 41 104 3 56 88 2 39 77 1 52 77 1 46 72 1 44 70 1 48 83 2 41 110 3 50 91 2 50 80 2 44 91 2 52 86 2 54 85 2 44 107 3 52 93 2 37 87 2 52 84 2 50 73 1 36 84 2 50 86 2 52 99 3 55 75 1 31 87 2 36 79 1 49 82 2 42 95 3 37 84 2 41 85 2 30 95 3 52 63 1 30 78 1 41 85 2 44 86 2 66 75 1 48 98 3 43 71 1 57 63 1 46 71 1 54 84 2 48 81 2 48 93 2 52 79 1 62 63 1 58 93 2 58 92 2 62 93 2 48 83 2 46 80 2 34 111 3 66 92 2 52 79 1 55 69 1 55 83 2 57 80 2 56 91 2 55 97 3 56 85 2 54 85 2 55 99 3 46 67 1 52 87 2 32 68 1 44 81 2 46 80 2 59 93 2 46 93 2 46 102 3 54 104 3 66 90 2 56 85 2 59 92 2 57 82 2 52 85 2 48 89 2 44 77 1 41 79 1 50 76 1 48 101 3 48 81 2 59 92 2 34 89 2 46 81 2 54 77 1 55 95 3 54 85 2 59 81 2 44 76 1 54 93 2 52 104 3 66 89 2 44 76 1 57 77 1 39 71 1 60 79 1 45 89 2 41 81 2 50 99 3 39 81 2 43 84 2 48 85 2 37 111 3 58 78 1 46 111 3 43 78 1 44 87 2 34 92 2 30 93 2 50 70 1 39 84 2 37 75 1 55 105 3 48 96 3 41 85 2 39 87 2 36 75 1 43 103 3 50 86 2 55 77 1 43 74 1 60 74 1 48 76 1 30 83 2 43 101 3 39 83 2 52 92 2 39 74 1 39 87 2 56 71 1 59 79 1 46 83 2 57 80 2 50 90 2 54 80 2 50 96 3 60 109 3 59 98 3 41 85 2 48 83 2 59 86 2 60 72 1 56 83 2 56 75 1 51
Names of X columns:
MVRBIQ0 scores MC30VRB
Response Variable (column number)
Factor Variable (column number)
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) # intercept<-as.logical(par3) x <- t(x) x1<-as.numeric(x[,cat1]) f1<-as.character(x[,cat2]) xdf<-data.frame(x1,f1) (V1<-dimnames(y)[[1]][cat1]) (V2<-dimnames(y)[[1]][cat2]) names(xdf)<-c('Response', 'Treatment') if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, 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$coefficients)+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, paste(V1, ' ~ ', V2), length(lmxdf$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) a<-table.row.start(a) a<-table.element(a, V2,,TRUE) a<-table.element(a, anova.xdf$Df[1],,FALSE) a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'F value'[1], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3),,FALSE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'Residuals',,TRUE) a<-table.element(a, anova.xdf$Df[2],,FALSE) a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'Mean Sq'[2], 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, data=xdf, xlab=V2, ylab=V1) dev.off() if(intercept==TRUE){ thsd<-TukeyHSD(aov.xdf) bitmap(file='TukeyHSDPlot.png') plot(thsd) dev.off() } if(intercept==TRUE){ 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(i in 1:length(rownames(thsd[[1]]))){ a<-table.row.start(a) a<-table.element(a,rownames(thsd[[1]])[i], 1, TRUE) for(j in 1:4){ a<-table.element(a,round(thsd[[1]][i,j], digits=3), 1, FALSE) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable2.tab') } 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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