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Data X:
67 1 3 86 2 6 86 2 8 103 3 8 74 1 7 63 1 5 82 2 7 93 2 8 77 1 9 111 3 9 71 1 3 103 3 9 89 2 7 75 1 9 88 2 8 84 2 6 85 2 7 70 1 8 104 3 9 88 2 7 77 1 6 77 1 8 72 1 7 70 1 7 83 2 8 110 3 9 91 2 9 80 2 7 91 2 4 86 2 7 85 2 7 107 3 9 93 3 7 87 2 9 84 2 10 73 1 5 84 2 6 86 2 9 99 3 9 75 1 8 87 2 6 79 1 6 82 2 5 95 2 8 84 2 8 85 2 5 95 2 6 63 2 9 78 2 8 85 3 4 86 3 8 75 2 9 98 3 7 71 1 7 63 1 6 71 1 9 84 2 9 81 2 8 93 2 4 79 1 6 63 1 10 93 2 8 92 2 7 93 2 7 83 2 8 80 2 3 111 3 8 92 2 10 79 1 7 69 1 5 83 2 10 80 2 5 91 2 8 97 2 9 85 2 6 85 2 9 99 3 8 67 1 5 87 2 8 68 1 3 81 2 7 80 2 8 93 2 10 93 2 9 102 3 10 104 3 9 90 2 8 85 2 8 92 2 8 82 2 9 85 2 4 89 2 6 77 1 7 79 1 4 76 1 9 101 3 7 81 2 8 89 2 8 81 2 7 77 1 7 95 2 9 85 2 8 81 2 8 76 1 9 93 2 9 104 3 10 89 2 7 76 1 8 77 1 5 71 1 9 79 1 8 89 2 7 81 2 8 99 3 8 81 2 7 84 2 6 85 2 7 111 3 7 78 1 6 111 3 6 78 1 7 87 2 9 92 2 6 93 2 10 70 1 4 84 2 8 75 1 7 105 3 10 85 2 5 87 2 9 75 1 8 103 3 9 86 2 8 77 1 8 74 1 9 74 1 8 76 1 9 83 2 7 101 3 6 83 2 8 92 3 6 74 1 5 87 2 3 71 1 6 79 1 8 83 2 7 80 2 8 90 2 6 80 2 9 96 3 9 109 3 10 98 3 7 85 2 5 83 2 8 86 2 9 72 1 8 83 2 8 75 1 4
Names of X columns:
MVIQ SCORE 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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