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Data X:
92 36 3 1 88 36 1 2 94 56 3 2 90 48 3 3 73 32 3 1 68 44 1 1 80 39 2 2 86 34 3 2 86 41 3 1 91 50 2 3 79 39 1 1 96 62 1 3 92 52 3 2 72 37 3 1 96 50 3 2 70 41 1 2 86 55 3 2 87 41 3 1 88 56 3 3 79 39 2 2 90 52 2 1 95 46 1 1 85 44 1 1 92 48 3 1 90 41 3 2 115 50 1 3 84 50 1 2 79 44 3 2 94 52 1 2 97 54 2 2 86 44 3 2 111 52 2 3 87 37 2 2 98 52 3 2 87 50 1 2 68 36 3 1 88 50 3 2 82 52 1 2 111 55 2 3 75 31 1 1 94 36 1 2 95 49 2 1 80 42 1 2 95 37 1 2 68 41 3 2 94 30 2 2 88 52 2 2 84 30 1 1 92 41 1 1 101 44 1 2 98 66 1 2 78 48 2 1 109 43 3 3 102 57 3 1 81 46 3 1 97 54 3 1 75 48 2 2 97 48 2 2 92 52 2 2 101 62 3 1 101 58 3 1 95 58 2 2 95 62 2 2 92 48 2 2 95 46 3 2 90 34 2 2 107 66 3 3 92 52 3 2 86 55 2 1 70 55 2 1 95 57 3 2 96 56 3 2 91 55 2 2 87 56 1 2 92 54 2 2 97 55 2 2 102 46 2 3 91 52 2 1 68 32 3 2 88 44 2 1 97 46 3 2 90 59 1 2 101 46 3 2 94 46 3 2 101 54 1 3 109 66 1 3 100 56 2 2 103 59 1 2 94 57 3 2 97 52 1 2 85 48 3 2 75 44 2 2 77 41 3 1 87 50 1 1 78 48 1 1 108 48 2 3 97 59 3 2 105 34 1 2 106 46 3 2 107 54 1 2 95 55 2 1 107 54 2 2 115 59 3 2 101 44 3 2 85 54 1 1 90 52 3 2 115 66 3 3 95 44 3 2 97 57 2 1 112 39 3 1 97 60 3 1 77 45 3 1 90 41 3 2 94 50 1 2 103 39 3 3 77 43 1 2 98 48 3 2 90 37 3 2 111 58 3 3 77 46 2 1 88 43 3 3 75 44 2 1 92 34 3 2 78 30 2 2 106 50 2 2 80 39 2 1 87 37 3 2 92 55 3 1 92 48 1 3 111 41 1 3 86 39 3 2 85 36 3 2 90 43 2 1 101 50 1 3 94 55 3 2 86 43 3 1 86 60 3 1 90 48 2 1 75 30 1 1 86 43 3 2 91 39 3 3 97 52 3 2 91 39 2 2 70 39 3 1 98 56 2 2 96 59 3 1 95 46 3 1 100 57 2 2 95 50 3 2 97 54 3 2 97 50 3 2 92 60 3 3 115 59 1 3 88 41 3 3 87 48 2 2 100 59 3 2 98 60 3 2 102 56 1 1 92 56 1 2 96 51 3 0
Names of X columns:
WISCRY7V MC30VRB MOMAGE MVIQ
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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Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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