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Data X:
'Vrouw' 149 'Vrouw' 148 'Man' 158 'Man' 128 'Man' 224 'Vrouw' 159 'Man' 105 'Man' 159 'Man' 167 'Man' 165 'Man' 159 'Vrouw' 176 'Vrouw' 54 'Vrouw' 91 'Man' 163 'Vrouw' 124 'Vrouw' 121 'Man' 148 'Vrouw' 221 'Man' 149 'Man' 244 'Man' 148 'Man' 150 'Vrouw' 153 'Vrouw' 94 'Vrouw' 156 'Man' 132 'Man' 105 'Vrouw' 151 'Man' 131 'Vrouw' 157 'Man' 162 'Man' 163 'Man' 59 'Vrouw' 187 'Man' 116 'Man' 148 'Man' 155 'Man' 125 'Man' 116 'Man' 138 'Man' 164 'Vrouw' 162 'Vrouw' 99 'Vrouw' 186 'Man' 188 'Vrouw' 177 'Vrouw' 139 'Vrouw' 162 'Man' 108 'Vrouw' 159 'Man' 110 'Vrouw' 96 'Vrouw' 87 'Man' 97 'Vrouw' 127 'Vrouw' 74 'Man' 114 'Vrouw' 95 'Vrouw' 121 'Man' 130 'Vrouw' 52 'Vrouw' 118 'Man' 48 'Man' 50 'Man' 150 'Man' 154 'Vrouw' 109 'Man' 68 'Man' 194 'Vrouw' 158 'Man' 159 'Vrouw' 67 'Vrouw' 147 'Man' 39 'Man' 100 'Man' 111 'Man' 138 'Man' 101 'Man' 131 'Man' 101 'Man' 114 'Vrouw' 165 'Man' 114 'Man' 111 'Man' 75 'Man' 82 'Man' 121 'Man' 32 'Vrouw' 150 'Man' 117 'Man' 71 'Man' 165 'Man' 154 'Man' 126 'Vrouw' 149 'Vrouw' 145 'Man' 120 'Vrouw' 109 'Vrouw' 132 'Man' 172 'Vrouw' 169 'Man' 114 'Man' 156 'Vrouw' 172 'Man' 68 'Man' 89 'Man' 167 'Vrouw' 113 'Vrouw' 115 'Vrouw' 78 'Vrouw' 118 'Man' 87 'Vrouw' 173 'Man' 2 'Vrouw' 162 'Man' 49 'Vrouw' 122 'Man' 96 'Vrouw' 100 'Vrouw' 82 'Man' 100 'Vrouw' 115 'Man' 141 'Man' 165 'Man' 165 'Man' 110 'Man' 118 'Vrouw' 158 'Man' 146 'Vrouw' 49 'Vrouw' 90 'Vrouw' 121 'Man' 155 'Vrouw' 104 'Man' 147 'Vrouw' 110 'Vrouw' 108 'Vrouw' 113 'Vrouw' 115 'Man' 61 'Man' 60 'Man' 109 'Man' 68 'Vrouw' 111 'Vrouw' 77 'Man' 73 'Vrouw' 151 'Vrouw' 89 'Vrouw' 78 'Vrouw' 110 'Man' 220 'Man' 65 'Vrouw' 141 'Vrouw' 117 'Man' 122 'Vrouw' 63 'Man' 44 'Man' 52 'Vrouw' 131 'Man' 101 'Man' 42 'Man' 152 'Vrouw' 107 'Vrouw' 77 'Vrouw' 154 'Man' 103 'Man' 96 'Man' 175 'Man' 57 'Vrouw' 112 'Vrouw' 143 'Vrouw' 49 'Man' 110 'Man' 131 'Vrouw' 167 'Vrouw' 56 'Vrouw' 137 'Man' 86 'Man' 121 'Vrouw' 149 'Vrouw' 168 'Vrouw' 140 'Man' 88 'Man' 168 'Man' 94 'Man' 51 'Vrouw' 48 'Man' 145 'Man' 66 'Man' 85 'Vrouw' 109 'Vrouw' 63 'Man' 102 'Vrouw' 162 'Man' 86 'Man' 114 'Vrouw' 164 'Man' 119 'Vrouw' 126 'Man' 132 'Man' 142 'Vrouw' 83 'Man' 94 'Vrouw' 81 'Man' 166 'Vrouw' 110 'Man' 64 'Vrouw' 93 'Vrouw' 104 'Man' 105 'Man' 49 'Vrouw' 88 'Man' 95 'Man' 102 'Vrouw' 99 'Man' 63 'Vrouw' 76 'Vrouw' 109 'Man' 117 'Man' 57 'Vrouw' 120 'Man' 73 'Vrouw' 91 'Vrouw' 108 'Man' 105 'Vrouw' 117 'Vrouw' 119
Names of X columns:
gender LFM
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){ 'Tukey Plot' 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<-leveneTest(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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