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Data X:
6 1 'Low' 5 44 68 48 1 'Low' 9 30 84 55 3 'Low' 6 46 81 61 3 'Low' 10 58 101 78 2 'Low' 5 52 91 80 2 'Low' 3 44 88 70 2 'Low' 5 55 70 18 3 'Low' 8 41 87 126 2 'Low' 4 39 80 11 1 'Low' 3 39 79 54 3 'Low' 7 57 102 56 3 'Low' 9 54 97 111 3 'Low' 9 60 97 146 3 'Low' 6 59 96 23 1 'Low' 7 44 85 158 1 'Low' 8 56 102 36 3 'Low' 5 36 68 5 3 'Low' 7 32 73 137 3 'Low' 9 60 86 138 2 'Low' 8 48 90 144 3 'Low' 5 39 70 14 3 'Low' 9 37 72 40 1 'Low' 8 31 75 52 2 'Low' 9 48 78 128 3 'Low' 7 55 92 133 2 'Low' 8 43 90 160 3 'Low' 4 51 96 95 1 'Low' 9 48 78 105 1 'Low' 9 54 85 109 2 'Low' 8 57 97 139 1 'Low' 9 30 75 9 3 'Low' 9 41 86 21 2 'Low' 6 52 90 22 1 'Low' 8 46 95 93 3 'Low' 7 41 77 101 2 'Low' 7 55 95 110 3 'Low' 5 39 112 136 3 'Low' 8 43 86 120 2 'Low' 6 46 77 122 2 'Low' 7 44 75 42 2 'Low' 6 49 95 60 3 'Low' 6 62 101 69 2 'Low' 7 55 86 94 1 'Low' 4 50 87 112 3 'Low' 8 45 77 147 3 'Low' 8 46 95 28 3 'Medium' 7 44 79 66 2 'Medium' 3 34 90 72 3 'Medium' 5 56 96 82 1 'Medium' 8 59 90 149 3 'Medium' 8 50 95 151 3 'Medium' 9 50 97 58 2 'Medium' 8 48 97 81 3 'Medium' 7 46 97 97 3 'Medium' 8 59 97 100 1 'Medium' 7 54 107 104 3 'Medium' 8 44 101 114 1 'Medium' 8 50 94 116 1 'Medium' 7 43 77 7 2 'Medium' 7 39 80 43 1 'Medium' 5 42 80 90 1 'Medium' 9 52 97 25 3 'Medium' 8 41 90 65 3 'Medium' 8 46 95 71 3 'Medium' 10 57 95 140 3 'Medium' 7 43 86 142 3 'Medium' 8 52 97 148 2 'Medium' 7 57 100 156 3 'Medium' 8 59 100 16 1 'Medium' 6 41 70 35 1 'Medium' 10 50 87 37 3 'Medium' 6 50 88 45 3 'Medium' 8 41 68 57 2 'Medium' 9 48 75 117 3 'Medium' 6 48 98 127 3 'Medium' 8 37 87 17 3 'Medium' 7 55 86 31 3 'Medium' 7 44 86 46 2 'Medium' 5 30 94 50 1 'Medium' 4 44 101 75 2 'Medium' 6 54 92 76 2 'Medium' 9 55 97 88 1 'Medium' 8 59 103 91 3 'Medium' 4 48 85 103 3 'Medium' 8 59 115 118 3 'Medium' 7 37 90 131 3 'Medium' 5 39 86 155 2 'Medium' 5 48 87 2 1 'Medium' 6 36 88 3 3 'Medium' 8 56 94 30 2 'Medium' 7 54 97 38 1 'Medium' 9 52 82 51 1 'Medium' 8 66 98 135 3 'Medium' 8 55 94 157 3 'Medium' 9 60 98 34 3 'Medium' 9 52 98 41 1 'Medium' 6 36 94 79 3 'Medium' 8 32 68 123 3 'Medium' 9 34 92 132 3 'Medium' 9 36 85 145 2 'Medium' 3 56 98 15 3 'Medium' 8 50 96 20 2 'Medium' 7 39 79 13 3 'Medium' 7 52 92 92 2 'Medium' 6 44 75 99 3 'Medium' 8 46 106 108 3 'Medium' 7 44 95 113 3 'Medium' 7 41 90 87 2 'Medium' 8 56 100 150 3 'Medium' 6 54 97 27 1 'Medium' 9 50 84 29 1 'Medium' 4 52 94 73 2 'Medium' 8 55 91 63 2 'Medium' 7 62 95 68 3 'Medium' 10 52 92 89 3 'Medium' 8 57 94 124 2 'Medium' 6 30 78 143 2 'Medium' 6 39 91 8 3 'Medium' 8 34 86 33 2 'Medium' 7 37 87 62 2 'Medium' 8 58 95 83 3 'Medium' 10 46 101 84 3 'Medium' 9 46 94 106 3 'Medium' 9 52 90 125 2 'Medium' 10 50 106 44 1 'High' 8 37 95 47 2 'High' 6 52 88 102 2 'High' 9 54 107 152 3 'High' 9 60 92 74 1 'High' 9 56 87 53 3 'High' 7 43 109 154 3 'High' 7 41 88 39 2 'High' 9 55 111 77 2 'High' 8 46 102 115 3 'High' 8 39 103 96 2 'High' 7 48 108 141 3 'High' 6 39 91 85 1 'High' 10 54 101 4 3 'High' 8 48 90 12 1 'High' 9 62 96 134 1 'High' 9 50 101 19 3 'High' 9 56 88 86 1 'High' 9 66 109 107 3 'High' 10 66 115 32 2 'High' 9 52 111 153 1 'High' 10 59 115 26 1 'High' 9 50 115 10 2 'High' 9 50 91 67 3 'High' 8 66 107 119 3 'High' 7 58 111 121 3 'High' 6 43 88
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
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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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