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