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Data X:
3 67 3 36 92 1 86 6 36 88 3 86 8 56 94 3 103 8 48 90 3 74 7 32 73 1 63 5 44 68 2 82 7 39 80 3 93 8 34 86 3 77 9 41 86 2 111 9 50 91 1 71 3 39 79 1 103 9 62 96 3 89 7 52 92 3 75 9 37 72 3 88 8 50 96 1 84 6 41 70 3 85 7 55 86 3 70 8 41 87 3 104 9 56 88 2 88 7 39 79 2 77 6 52 90 1 77 8 46 95 1 72 7 44 85 3 70 7 48 92 3 83 8 41 90 1 110 9 50 115 1 91 9 50 84 3 80 7 44 79 1 91 4 52 94 2 86 7 54 97 3 85 7 44 86 2 107 9 52 111 2 93 7 37 87 3 87 9 52 98 1 84 10 50 87 3 73 5 36 68 3 84 6 50 88 1 86 9 52 82 2 99 9 55 111 1 75 8 31 75 1 87 6 36 94 2 79 6 49 95 1 82 5 42 80 1 95 8 37 95 3 84 8 41 68 2 85 5 30 94 2 95 6 52 88 1 63 9 30 84 1 78 8 41 92 1 85 4 44 101 1 86 8 66 98 2 75 9 48 78 3 98 7 43 109 3 71 7 57 102 3 63 6 46 81 3 71 9 54 97 2 84 9 48 75 2 81 8 48 97 2 93 4 52 92 3 79 6 62 101 3 63 10 58 101 2 93 8 58 95 2 92 7 62 95 2 93 7 48 92 3 83 8 46 95 2 80 3 34 90 3 111 8 66 107 3 92 10 52 92 2 79 7 55 86 2 69 5 55 70 3 83 10 57 95 3 80 5 56 96 2 91 8 55 91 1 97 9 56 87 2 85 6 54 92 2 85 9 55 97 2 99 8 46 102 2 67 5 52 91 3 87 8 32 68 2 68 3 44 88 3 81 7 46 97 1 80 8 59 90 3 93 10 46 101 3 93 9 46 94 1 102 10 54 101 1 104 9 66 109 2 90 8 56 100 1 85 8 59 103 3 92 8 57 94 1 82 9 52 97 3 85 4 48 85 2 89 6 44 75 3 77 7 41 77 1 79 4 50 87 1 76 9 48 78 2 101 7 48 108 3 81 8 59 97 1 92 7 34 105 3 89 8 46 106 1 81 7 54 107 2 77 7 55 95 2 95 9 54 107 3 85 8 59 115 3 81 8 44 101 1 76 9 54 85 3 93 9 52 90 3 104 10 66 115 3 89 7 44 95 2 76 8 57 97 3 77 5 39 112 3 71 9 60 97 3 79 8 45 77 3 89 7 41 90 1 81 8 50 94 3 99 8 39 103 1 81 7 43 77 3 84 6 48 98 3 85 7 37 90 3 111 7 58 111 2 78 6 46 77 3 111 6 43 88 2 78 7 44 75 3 87 9 34 92 2 92 6 30 78 2 93 10 50 106 2 70 4 39 80 3 84 8 37 87 3 75 7 55 92 1 105 10 48 92 1 96 7 41 111 3 85 5 39 86 3 87 9 36 85 2 75 8 43 90 1 103 9 50 101 3 86 8 55 94 3 77 8 43 86 3 74 9 60 86 2 74 8 48 90 1 76 9 30 75 3 83 7 43 86 3 101 6 39 91 3 83 8 52 97 2 92 6 39 91 3 74 5 39 70 2 87 3 56 98 3 71 6 59 96 3 79 8 46 95 2 83 7 57 100 3 80 8 50 95 3 90 6 54 97 3 80 9 50 97 3 96 9 60 92 1 109 10 59 115 3 98 7 41 88 2 85 5 48 87 3 83 8 59 100 3 86 9 60 98 1 72 8 56 102 1 83 8 56 92 3 75 4 51 96
Names of X columns:
MOMAGE MVRBIQ0 MWARM30 MC30VRB WISCRY7V
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() 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 Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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