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Data X:
3 67 36 1 86 36 3 86 56 3 103 48 3 74 32 1 63 44 2 82 39 3 93 34 3 77 41 2 111 50 1 71 39 1 103 62 3 89 52 3 75 37 3 88 50 1 84 41 3 85 55 3 70 41 3 104 56 2 88 39 2 77 52 1 77 46 1 72 44 3 70 48 3 83 41 1 110 50 1 91 50 3 80 44 1 91 52 2 86 54 3 85 44 2 107 52 2 93 37 3 87 52 1 84 50 3 73 36 3 84 50 1 86 52 2 99 55 1 75 31 1 87 36 2 79 49 1 82 42 1 95 37 3 84 41 2 85 30 2 95 52 1 63 30 1 78 41 1 85 44 1 86 66 2 75 48 3 98 43 3 71 57 3 63 46 3 71 54 2 84 48 2 81 48 2 93 52 3 79 62 3 63 58 2 93 58 2 92 62 2 93 48 3 83 46 2 80 34 3 111 66 3 92 52 2 79 55 2 69 55 3 83 57 3 80 56 2 91 55 1 97 56 2 85 54 2 85 55 2 99 46 2 67 52 3 87 32 2 68 44 3 81 46 1 80 59 3 93 46 3 93 46 1 102 54 1 104 66 2 90 56 1 85 59 3 92 57 1 82 52 3 85 48 2 89 44 3 77 41 1 79 50 1 76 48 2 101 48 3 81 59 1 92 34 3 89 46 1 81 54 2 77 55 2 95 54 3 85 59 3 81 44 1 76 54 3 93 52 3 104 66 3 89 44 2 76 57 3 77 39 3 71 60 3 79 45 3 89 41 1 81 50 3 99 39 1 81 43 3 84 48 3 85 37 3 111 58 2 78 46 3 111 43 2 78 44 3 87 34 2 92 30 2 93 50 2 70 39 3 84 37 3 75 55 1 105 48 1 96 41 3 85 39 3 87 36 2 75 43 1 103 50 3 86 55 3 77 43 3 74 60 2 74 48 1 76 30 3 83 43 3 101 39 3 83 52 2 92 39 3 74 39 2 87 56 3 71 59 3 79 46 2 83 57 3 80 50 3 90 54 3 80 50 3 96 60 1 109 59 3 98 41 2 85 48 3 83 59 3 86 60 1 72 56 1 83 56 3 75 51
Names of X columns:
MVIQ 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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