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