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Data X:
1 3 1 2 1 2 3 3 2 4 3 3 5 3 1 6 1 1 7 2 2 8 3 2 9 3 1 10 2 3 11 1 1 12 1 3 13 3 2 14 3 1 15 3 2 16 1 2 17 3 2 18 3 1 19 3 3 20 2 2 21 2 1 22 1 1 23 1 1 24 3 1 25 3 2 26 1 3 27 1 2 28 3 2 29 1 2 30 2 2 31 3 2 32 2 3 33 2 2 34 3 2 35 1 2 36 3 1 37 3 2 38 1 2 39 2 3 40 1 1 41 1 2 42 2 1 43 1 2 44 1 3 45 3 2 46 2 2 47 2 3 48 1 1 49 1 1 50 1 2 51 1 2 52 2 1 53 3 3 54 3 1 55 3 1 56 3 1 57 2 2 58 2 2 59 2 2 60 3 1 61 3 1 62 2 2 63 2 2 64 2 2 65 3 2 66 2 2 67 3 3 68 3 2 69 2 1 70 2 1 71 3 2 72 3 2 73 2 2 74 1 3 75 2 2 76 2 2 77 2 3 78 2 1 79 3 2 80 2 1 81 3 2 82 1 2 83 3 2 84 3 2 85 1 3 86 1 3 87 2 2 88 1 2 89 3 2 90 1 2 91 3 2 92 2 2 93 3 1 94 1 1 95 1 1 96 2 3 97 3 2 98 1 2 99 3 2 100 1 2 101 2 1 102 2 3 103 3 2 104 3 2 105 1 1 106 3 2 107 3 3 108 3 2 109 2 1 110 3 1 111 3 1 112 3 1 113 3 2 114 1 2 115 3 3 116 1 2 117 3 2 118 3 2 119 3 3 120 2 1 121 3 3 122 2 1 123 3 2 124 2 2 125 2 2 126 2 1 127 3 2 128 3 1 129 1 3 130 1 3 131 3 2 132 3 2 133 2 1 134 1 3 135 3 2 136 3 1 137 3 1 138 2 1 139 1 1 140 3 2 141 3 3 142 3 2 143 2 2 144 3 1 145 2 2 146 3 1 147 3 1 148 2 2 149 3 2 150 3 2 151 3 2 152 3 3 153 1 3 154 3 3 155 2 2 156 3 2 157 3 2 158 1 1 159 1 2 160 3 1
Names of X columns:
X1 X2 X3
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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