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Data X:
26 "'S'" "'Female'" 37 "'S'" "'Female'" 67 "'S'" "'Male'" 43 "'S'" "'Male'" 52 "'S'" "'Male'" 52 "'S'" "'Female'" 43 "'S'" "'Male'" 84 "'S'" "'Male'" 67 "'S'" "'Male'" 49 "'S'" "'Male'" 70 "'S'" "'Male'" 58 "'S'" "'Female'" 68 "'S'" "'Female'" 62 "'B'" "'Female'" 43 "'S'" "'Male'" 56 "'S'" "'Female'" 74 "'S'" "'Female'" 63 "'S'" "'Male'" 58 "'S'" "'Female'" 63 "'S'" "'Male'" 53 "'S'" "'Male'" 57 "'B'" "'Male'" 64 "'S'" "'Male'" 53 "'S'" "'Female'" 29 "'S'" "'Female'" 54 "'S'" "'Female'" 58 "'S'" "'Male'" 51 "'S'" "'Male'" 54 "'S'" "'Female'" 56 "'B'" "'Male'" 47 "'S'" "'Female'" 50 "'S'" "'Male'" 35 "'S'" "'Male'" 30 "'B'" "'Male'" 68 "'S'" "'Female'" 56 "'B'" "'Male'" 43 "'S'" "'Male'" 67 "'B'" "'Male'" 62 "'S'" "'Male'" 57 "'S'" "'Male'" 54 "'S'" "'Male'" 61 "'S'" "'Male'" 56 "'S'" "'Female'" 41 "'S'" "'Female'" 53 "'S'" "'Female'" 46 "'S'" "'Male'" 51 "'S'" "'Female'" 37 "'S'" "'Female'" 42 "'S'" "'Female'" 38 "'B'" "'Male'" 66 "'S'" "'Female'" 53 "'S'" "'Male'" 49 "'B'" "'Female'" 49 "'B'" "'Female'" 59 "'B'" "'Male'" 40 "'B'" "'Female'" 63 "'B'" "'Female'" 34 "'B'" "'Male'" 32 "'B'" "'Female'" 67 "'B'" "'Female'" 61 "'B'" "'Male'" 60 "'B'" "'Female'" 63 "'B'" "'Female'" 52 "'S'" "'Male'" 16 "'S'" "'Male'" 46 "'S'" "'Male'" 56 "'S'" "'Male'" 52 "'B'" "'Female'" 55 "'B'" "'Male'" 50 "'S'" "'Male'" 59 "'S'" "'Female'" 60 "'S'" "'Male'" 52 "'S'" "'Female'" 44 "'S'" "'Female'" 67 "'S'" "'Male'" 52 "'S'" "'Male'" 55 "'S'" "'Male'" 37 "'S'" "'Male'" 54 "'S'" "'Male'" 72 "'B'" "'Male'" 51 "'S'" "'Male'" 48 "'S'" "'Male'" 60 "'S'" "'Female'" 50 "'S'" "'Male'" 63 "'S'" "'Male'" 33 "'S'" "'Male'" 67 "'S'" "'Male'" 46 "'S'" "'Male'" 54 "'S'" "'Male'" 59 "'S'" "'Female'" 61 "'S'" "'Male'" 33 "'B'" "'Male'" 47 "'S'" "'Male'" 69 "'S'" "'Male'" 52 "'S'" "'Male'" 55 "'S'" "'Female'" 41 "'S'" "'Female'" 73 "'S'" "'Male'" 52 "'S'" "'Female'" 50 "'S'" "'Female'" 51 "'S'" "'Male'" 60 "'S'" "'Female'" 56 "'S'" "'Male'" 56 "'S'" "'Male'" 29 "'S'" "'Female'" 66 "'B'" "'Male'" 66 "'B'" "'Male'" 73 "'S'" "'Male'" 55 "'S'" "'Female'" 64 "'B'" "'Female'" 40 "'B'" "'Female'" 46 "'B'" "'Female'" 58 "'B'" "'Male'" 43 "'S'" "'Female'" 61 "'S'" "'Male'" 51 "'B'" "'Female'" 50 "'B'" "'Male'" 52 "'B'" "'Female'" 54 "'B'" "'Male'" 66 "'B'" "'Female'" 61 "'B'" "'Female'" 80 "'B'" "'Male'" 51 "'B'" "'Female'" 56 "'B'" "'Male'" 56 "'S'" "'Male'" 56 "'S'" "'Male'" 53 "'B'" "'Male'" 47 "'S'" "'Male'" 25 "'S'" "'Female'" 47 "'B'" "'Male'" 46 "'S'" "'Female'" 50 "'B'" "'Female'" 39 "'B'" "'Female'" 51 "'S'" "'Male'" 58 "'B'" "'Female'" 35 "'B'" "'Male'" 58 "'B'" "'Female'" 60 "'B'" "'Female'" 62 "'B'" "'Female'" 63 "'B'" "'Female'" 53 "'B'" "'Male'" 46 "'B'" "'Male'" 67 "'B'" "'Male'" 59 "'B'" "'Male'" 64 "'B'" "'Female'" 38 "'B'" "'Female'" 50 "'B'" "'Male'" 48 "'S'" "'Female'" 48 "'B'" "'Female'" 47 "'B'" "'Female'" 66 "'B'" "'Female'" 47 "'S'" "'Male'" 63 "'B'" "'Male'" 58 "'S'" "'Female'" 44 "'B'" "'Female'" 51 "'S'" "'Male'" 43 "'B'" "'Female'" 55 "'S'" "'Male'" 38 "'B'" "'Male'" 45 "'B'" "'Female'" 50 "'B'" "'Male'" 54 "'B'" "'Male'" 57 "'S'" "'Male'" 60 "'S'" "'Female'" 55 "'B'" "'Female'" 56 "'S'" "'Female'" 49 "'S'" "'Male'" 37 "'B'" "'Male'" 59 "'S'" "'Male'" 46 "'B'" "'Male'" 51 "'B'" "'Female'" 58 "'S'" "'Female'" 64 "'B'" "'Female'" 53 "'S'" "'Male'" 48 "'S'" "'Male'" 51 "'S'" "'Female'" 47 "'B'" "'Female'" 59 "'S'" "'Female'" 62 "'B'" "'Male'" 62 "'S'" "'Male'" 51 "'S'" "'Female'" 64 "'S'" "'Female'" 52 "'S'" "'Female'" 67 "'B'" "'Male'" 50 "'S'" "'Male'" 54 "'S'" "'Male'" 58 "'S'" "'Male'" 56 "'B'" "'Female'" 63 "'S'" "'Male'" 31 "'S'" "'Male'" 65 "'B'" "'Male'" 71 "'S'" "'Female'" 50 "'B'" "'Female'" 57 "'B'" "'Male'" 47 "'B'" "'Female'" 47 "'B'" "'Male'" 57 "'B'" "'Male'" 43 "'S'" "'Female'" 41 "'S'" "'Male'" 63 "'S'" "'Female'" 63 "'S'" "'Male'" 56 "'S'" "'Male'" 51 "'S'" "'Female'" 50 "'B'" "'Male'" 22 "'B'" "'Female'" 41 "'S'" "'Male'" 59 "'B'" "'Female'" 56 "'B'" "'Male'" 66 "'S'" "'Female'" 53 "'B'" "'Female'" 42 "'B'" "'Male'" 52 "'B'" "'Male'" 54 "'B'" "'Female'" 44 "'B'" "'Male'" 62 "'B'" "'Male'" 53 "'B'" "'Female'" 50 "'B'" "'Male'" 36 "'B'" "'Female'" 76 "'B'" "'Female'" 66 "'B'" "'Male'" 62 "'B'" "'Male'" 59 "'B'" "'Female'" 47 "'B'" "'Male'" 55 "'B'" "'Female'" 58 "'B'" "'Female'" 60 "'B'" "'Male'" 44 "'S'" "'Female'" 57 "'B'" "'Female'" 45 "'B'" "'Male'"
Names of X columns:
AMS.I GROUP gender
Response : Variable 1
Factor : Variable 2
Factor : Variable 3
Include Intercept Term ?
TRUE
FALSE
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
cat1 <- as.numeric(par1) # cat2<- as.numeric(par2) # cat3 <- as.numeric(par3) intercept<-as.logical(par4) x <- t(x) x1<-as.numeric(x[,cat1]) f1<-as.character(x[,cat2]) f2 <- as.character(x[,cat3]) xdf<-data.frame(x1,f1, f2) (V1<-dimnames(y)[[1]][cat1]) (V2<-dimnames(y)[[1]][cat2]) (V3 <-dimnames(y)[[1]][cat3]) names(xdf)<-c('Response', 'Treatment_A', 'Treatment_B') if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment_A * Treatment_B- 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment_A * Treatment_B, 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$coefficients)+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, lmxdf$call['formula'],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$coefficients[i], digits=3),,FALSE) } a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'ANOVA Statistics', 5+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, ' ',,TRUE) a<-table.element(a, 'Df',,FALSE) a<-table.element(a, 'Sum Sq',,FALSE) a<-table.element(a, 'Mean Sq',,FALSE) a<-table.element(a, 'F value',,FALSE) a<-table.element(a, 'Pr(>F)',,FALSE) a<-table.row.end(a) for(i in 1 : length(rownames(anova.xdf))-1){ a<-table.row.start(a) a<-table.element(a,rownames(anova.xdf)[i] ,,TRUE) a<-table.element(a, anova.xdf$Df[1],,FALSE) a<-table.element(a, round(anova.xdf$'Sum Sq'[i], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'Mean Sq'[i], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'F value'[i], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'Pr(>F)'[i], 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$'Df'[i+1],,FALSE) a<-table.element(a, round(anova.xdf$'Sum Sq'[i+1], digits=3),,FALSE) a<-table.element(a, round(anova.xdf$'Mean Sq'[i+1], digits=3),,FALSE) a<-table.element(a, ' ',,FALSE) a<-table.element(a, ' ',,FALSE) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab') bitmap(file='anovaplot.png') boxplot(Response ~ Treatment_A + Treatment_B, data=xdf, xlab=V2, ylab=V1, main='Boxplots of ANOVA Groups') dev.off() bitmap(file='designplot.png') xdf2 <- xdf # to preserve xdf make copy for function names(xdf2) <- c(V1, V2, V3) plot.design(xdf2, main='Design Plot of Group Means') dev.off() bitmap(file='interactionplot.png') interaction.plot(xdf$Treatment_A, xdf$Treatment_B, xdf$Response, xlab=V2, ylab=V1, trace.label=V3, main='Possible Interactions Between Anova Groups') dev.off() if(intercept==TRUE){ thsd<-TukeyHSD(aov.xdf) names(thsd) <- c(V2, V3, paste(V2, ':', V3, sep='')) bitmap(file='TukeyHSDPlot.png') layout(matrix(c(1,2,3,3), 2,2)) plot(thsd, las=1) dev.off() } if(intercept==TRUE){ ntables<-length(names(thsd)) 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(nt in 1:ntables){ for(i in 1:length(rownames(thsd[[nt]]))){ a<-table.row.start(a) a<-table.element(a,rownames(thsd[[nt]])[i], 1, TRUE) for(j in 1:4){ a<-table.element(a,round(thsd[[nt]][i,j], digits=3), 1, FALSE) } a<-table.row.end(a) } } # end nt a<-table.end(a) table.save(a,file='hsdtable.tab') }#end if hsd tables 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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