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Data X:
6.00 27.89 '1' 16.00 21.38 '1' 13.00 34.93 '1' 15.00 28.09 '1' 14.00 32.39 '1' 14.00 36.17 '1' 20.00 40.06 '1' 20.00 41.73 '1' 16.00 29.90 '1' 8.00 27.43 '1' 7.00 18.40 '1' 9.00 29.03 '1' 13.00 25.72 '1' 9.00 32.86 '1' 10.00 28.04 '1' 24.00 31.80 '1' 5.00 23.80 '1' 22.00 27.68 '1' 15.00 32.41 '1' 20.00 24.83 '1' 13.00 37.15 '1' 15.00 24.60 '1' 5.00 22.40 '1' 16.00 16.65 '1' 28.00 26.47 '1' 5.00 28.50 '1' 13.00 25.80 '1' 13.00 37.30 '1' 18.00 39.56 '1' 17.00 28.50 '1' 6.00 24.17 '1' 9.00 19.40 '1' 10.00 26.67 '1' 8.00 25.10 '1' 24.00 33.09 '1' 19.00 38.20 '1' 20.00 27.51 '1' 29.00 33.34 '1' 23.00 23.94 '1' 24.00 31.45 '1' 23.00 23.65 '1' 22.00 22.79 '1' 22.00 41.42 '1' 26.00 22.62 '2' 20.00 32.89 '2' 14.00 37.88 '2' 25.00 23.33 '2' 19.00 39.10 '2' 14.00 35.33 '2' 10.00 23.94 '2' 7.00 37.41 '2' 9.00 24.03 '2' 10.00 27.60 '2' 15.00 26.58 '2' 27.00 38.13 '2' 25.00 42.92 '2' 20.00 29.92 '2' 10.00 49.42 '2' 23.00 27.43 '2' 18.00 24.88 '2' 15.00 32.27 '2' 21.00 24.16 '2' 19.00 30.14 '2' 19.00 27.83 '2' 11.00 36.71 '2' 24.00 29.65 '2' 12.00 21.33 '2' 8.00 29.09 '2' 4.00 22.68 '2' 9.00 26.84 '2' 8.00 27.03 '2' 10.00 21.09 '2' 15.00 24.03 '2' 23.00 37.56 '2' 25.00 29.47 '2' 13.00 28.50 '2' 30.00 30.93 '2' 22.00 24.31 '2' 11.00 36.98 '2' 17.00 26.17 '2' 17.00 25.47 '2' 11.00 28.20 '2' 13.00 27.33 '2' 7.00 21.95 '2' 17.00 23.28 '2' 28.00 27.91 '2' 23.00 28.14 '2' 18.00 27.12 '2' 21.00 23.33 '2' 15.00 23.13 '2' 22.00 29.10 '2' 17.00 26.50 '2' 26.00 26.25 '2' 7.00 26.20 '2' 15.00 27.60 '2' 23.00 31.90 '2' 14.00 43.28 '2' 11.00 23.47 '2' 34.00 27.70 '2' 20.00 26.40 '2' 21.00 24.60 '2' 15.00 33.80 '2' 13.00 27.60 '2' 14.00 19.26 '2' 27.00 35.20 '2' 12.00 27.30 '2' 20.00 33.60 '2' 30.00 26.47 '1' 11.00 26.21 '2' 19.00 26.90 '2' 22.00 17.20 '2' 15.00 32.08 '2' 12.00 29.70 '2' 11.00 21.26 '2' 17.00 38.30 '2' 16.00 20.50 '2' 20.00 26.03 '2' 13.00 28.24 '2' 9.00 28.18 '2' 14.00 30.38 '2' 13.00 31.29 '2' 10.00 24.02 '2' 21.00 28.96 '2' 28.00 25.65 '2' 10.00 28.49 '2' 16.00 38.58 '2' 10.00 26.37 '2' 19.00 22.28 '2' 25.00 23.40 '2' 16.00 22.74 '2' 13.00 25.10 '2' 24.00 29.97 '2' 19.00 28.24 '2' 22.00 26.28 '2' 23.00 29.76 '2' 23.00 31.70 '2' 11.00 35.58 '2' 15.00 21.90 '2' 11.00 53.55 '2' 28.00 27.00 '2' 18.00 26.41 '2' 17.00 25.99 '2' 19.00 25.80 '2' 25.00 30.44 '2' 16.00 29.68 '2' 17.00 34.48 '2' 18.00 27.39 '2'
Names of X columns:
H I G
Response : Variable 1
Factor : Variable 2
Factor : Variable 3
Include Intercept Term ?
FALSE
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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