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Data X:
6 1 36 88 8 2 56 94 8 2 48 90 7 2 32 73 5 1 44 68 7 2 39 80 8 2 34 86 9 3 41 86 9 3 50 91 3 1 39 79 9 3 62 96 7 2 52 92 9 3 37 72 8 2 50 96 6 1 41 70 7 2 55 86 8 2 41 87 9 3 56 88 7 2 39 79 6 1 52 90 8 2 46 95 7 2 44 85 8 2 41 90 9 3 50 115 9 3 50 84 7 2 44 79 4 1 52 94 7 2 54 97 7 2 44 86 9 3 52 111 7 2 37 87 9 3 52 98 10 3 50 87 5 1 36 68 6 1 50 88 9 3 52 82 9 3 55 111 8 2 31 75 6 1 36 94 6 1 49 95 5 1 42 80 8 2 37 95 8 2 41 68 5 1 30 94 6 1 52 88 9 3 30 84 4 1 44 101 8 2 66 98 9 3 48 78 7 2 43 109 7 2 57 102 6 1 46 81 9 3 54 97 9 3 48 75 8 3 48 97 6 1 62 101 10 3 58 101 8 2 58 95 7 2 62 95 8 2 46 95 3 1 34 90 8 2 66 107 10 3 52 92 7 2 55 86 5 1 55 70 10 3 57 95 5 1 56 96 8 2 55 91 9 3 56 87 6 1 54 92 9 3 55 97 8 2 46 102 5 1 52 91 8 2 32 68 3 1 44 88 7 2 46 97 8 2 59 90 10 3 46 101 9 3 46 94 10 3 54 101 9 3 66 109 8 2 56 100 8 2 59 103 8 2 57 94 9 3 52 97 4 1 48 85 6 1 44 75 7 1 41 77 4 1 50 87 9 3 48 78 7 2 48 108 8 2 59 97 8 2 46 106 7 2 54 107 7 2 55 95 9 3 54 107 8 2 59 115 8 2 44 101 9 3 54 85 9 3 52 90 10 3 66 115 7 2 44 95 8 2 57 97 5 1 39 112 9 3 60 97 8 2 45 77 7 2 41 90 8 2 50 94 8 2 39 103 7 2 43 77 6 1 48 98 7 2 37 90 7 2 58 111 6 1 46 77 6 1 43 88 7 2 44 75 9 3 34 92 6 1 30 78 10 3 50 106 4 1 39 80 8 2 37 87 7 2 55 92 5 1 39 86 9 3 36 85 8 2 43 90 9 3 50 101 8 2 55 94 8 2 43 86 9 3 60 86 8 2 48 90 9 3 30 75 7 2 43 86 6 1 39 91 8 2 52 97 6 1 39 91 5 1 39 70 3 1 56 98 6 1 59 96 8 2 46 95 7 2 57 100 8 2 50 95 6 1 54 97 9 3 50 97 9 3 60 92 10 3 59 115 7 2 41 88 5 1 48 87 8 2 59 100 9 3 60 98 8 2 56 102 4 1 51 96
Names of X columns:
MWARM30 SCORES 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() } 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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Big Analytics Cloud Computing Center
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