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Data X:
80 2 'low' 1 44 88 11 1 'low' 1 39 79 66 2 'Medium' 1 34 90 145 2 'Medium' 1 56 98 126 2 'low' 1 39 80 160 3 'low' 1 51 96 91 3 'Medium' 1 48 85 29 1 'Medium' 1 52 94 6 1 'low' 1 44 68 78 2 'low' 1 52 91 70 2 'low' 1 55 70 110 3 'low' 1 39 112 43 1 'Medium' 1 42 80 46 2 'Medium' 1 30 94 131 3 'Medium' 1 39 86 155 2 'Medium' 1 48 87 55 3 'low' 1 46 81 146 3 'low' 1 59 96 21 2 'low' 1 52 90 120 2 'low' 1 46 77 42 2 'low' 1 49 95 16 1 'Medium' 1 41 70 37 3 'Medium' 1 50 88 75 2 'Medium' 1 54 92 2 1 'Medium' 1 36 88 41 1 'Medium' 1 36 94 92 2 'Medium' 1 44 75 124 2 'Medium' 1 30 78 47 2 'Medium' 1 52 88 141 3 'High' 1 39 91 121 3 'High' 1 43 88 54 3 'low' 2 57 102 23 1 'low' 2 44 85 5 3 'low' 2 32 73 93 3 'low' 2 41 77 101 2 'low' 2 55 95 122 2 'low' 2 44 75 69 2 'low' 2 55 86 28 3 'Medium' 2 44 79 81 3 'Medium' 2 46 97 100 1 'Medium' 2 54 107 7 2 'Medium' 2 39 80 140 3 'Medium' 2 43 86 148 2 'Medium' 2 57 100 17 3 'Medium' 2 55 86 31 3 'Medium' 2 44 86 30 2 'Medium' 2 54 97 20 2 'Medium' 2 39 79 13 3 'Medium' 2 52 92 108 3 'Medium' 2 44 95 63 2 'Medium' 2 62 95 33 2 'Medium' 2 37 87 53 3 'High' 2 43 109 154 3 'High' 2 41 88 119 3 'High' 2 58 111 18 3 'low' 2 41 87 158 1 'low' 2 56 102 138 2 'low' 2 48 90 40 1 'low' 2 31 75 133 2 'low' 2 43 90 109 2 'low' 2 57 97 22 1 'low' 2 46 95 136 3 'low' 2 43 86 147 3 'low' 2 46 95 82 1 'Medium' 2 59 90 149 3 'Medium' 2 50 95 58 2 'Medium' 2 48 97 104 3 'Medium' 2 44 101 114 1 'Medium' 2 50 94 25 3 'Medium' 2 41 90 65 3 'Medium' 2 46 95 156 3 'Medium' 2 59 100 45 3 'Medium' 2 41 68 127 3 'Medium' 2 37 87 88 1 'Medium' 2 59 103 103 3 'Medium' 2 59 115 3 3 'Medium' 2 56 94 51 1 'Medium' 2 66 98 135 3 'Medium' 2 55 94 79 3 'Medium' 2 32 68 15 3 'Medium' 2 50 96 99 3 'Medium' 2 46 106 87 2 'Medium' 2 56 100 89 3 'Medium' 2 57 94 8 3 'Medium' 2 34 86 62 2 'Medium' 2 58 95 44 1 'Medium' 2 37 95 77 2 'High' 2 46 102 115 3 'High' 2 39 103 4 3 'High' 2 48 90 67 3 'High' 2 66 107 48 1 'low' 3 30 84 56 3 'low' 3 54 97 111 3 'low' 3 60 97 137 3 'low' 3 60 86 14 3 'low' 3 37 72 52 2 'low' 3 48 78 105 1 'low' 3 54 85 9 3 'low' 3 41 86 90 1 'Medium' 3 52 97 57 2 'Medium' 3 48 75 76 2 'Medium' 3 55 97 38 1 'Medium' 3 52 82 157 3 'Medium' 3 60 98 34 3 'Medium' 3 52 98 123 3 'Medium' 3 34 92 132 3 'Medium' 3 36 85 27 1 'Medium' 3 50 84 84 3 'Medium' 3 46 94 106 3 'Medium' 3 52 90 102 2 'Medium' 3 54 107 39 2 'High' 3 55 111 12 1 'High' 3 62 96 134 1 'High' 3 50 101 19 3 'High' 3 56 88 86 1 'High' 3 66 109 32 2 'High' 3 52 111 26 1 'High' 3 50 115 10 2 'High' 3 50 91 35 1 'Medium' 3 50 87 68 3 'Medium' 3 52 92 83 3 'Medium' 3 46 101 125 2 'Medium' 3 50 106 85 1 'High' 3 54 101 107 3 'High' 3 66 115 153 1 'High' 3 59 115
Names of X columns:
SubjectNo MOMAGE MVRBIQ0 MWARM30 MC30VRB WISCRY7V
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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