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Data X:
0.266482 1 0.33559 1 0.311173 1 0.334147 1 0.234513 1 0.299111 1 0.257682 1 0.183721 1 0.327769 1 0.325996 1 0.391002 1 0.363566 1 0.152813 1 0.254989 1 0.203653 1 0.210185 1 0.239764 1 0.434326 1 0.35787 1 0.340176 1 0.262564 1 0.237622 1 0.262384 1 0.210279 1 0.22089 1 0.236853 1 0.226278 1 0.196102 1 0.279789 1 0.209866 1 0.177551 0 0.173319 0 0.175181 0 0.17854 0 0.163519 0 0.170183 0 0.218037 1 0.196371 1 0.212294 1 0.266892 1 0.201095 1 0.063412 1 0.098648 0 0.158266 0 0.091608 0 0.102083 0 0.127642 0 0.200873 0 0.266392 0 0.264967 0 0.254498 0 0.291954 0 0.220434 0 0.269866 0 0.205558 1 0.221727 1 0.238298 1 0.290024 1 0.262633 1 0.221711 1 0.066994 0 0.086372 0 0.095882 0 0.018689 0 0.056844 0 0.006274 0 0.22685 1 0.20566 1 0.151814 1 0.120956 1 0.15883 1 0.224852 1 0.329066 1 0.306636 1 0.201861 1 0.315074 1 0.341169 1 0.250572 1 0.249494 1 0.265699 1 0.155097 1 0.210458 1 0.146948 1 0.078202 1 0.343073 1 0.315903 1 0.335753 1 0.299549 1 0.299793 1 0.375531 1 0.389232 1 0.207156 1 0.08784 1 0.17352 1 0.188056 1 0.180528 1 0.194627 1 0.265315 1 0.202146 1 0.242861 1 0.260481 1 0.310163 1 0.270641 1 0.089267 1 0.14478 1 0.210279 1 0.18455 1 0.249172 1 0.160686 1 0.278679 1 0.256454 1 0.184378 1 0.212054 1 0.250283 1 0.181701 1 0.261549 1 0.27328 1 0.372114 1 0.393056 1 0.389295 1 0.279933 1 0.281618 1 0.160267 1 0.142466 1 0.143359 1 0.12795 1 0.087165 1 0.115697 1 0.152941 1 0.195976 1 0.20363 1 0.217013 1 0.254909 1 0.178713 1 0.320385 1 0.322044 1 0.300067 1 0.304107 1 0.306014 1 0.23307 1 0.397749 1 0.288917 1 0.310746 1 0.213353 1 0.220617 1 0.345238 1 0.414758 1 0.355736 1 0.335357 1 0.262281 1 0.340256 1 0.450493 1 0.356224 1 0.246404 1 0.175691 1 0.207914 1 0.230532 1 0.303214 1 0.280091 1 0.234196 1 0.259229 1 0.226528 1 0.24275 1 0.184896 1 0.396746 1 0.17227 0 0.176316 0 0.160414 0 0.164529 0 0.073298 0 0.171088 0 0.218885 0 0.192375 0 0.19215 0 0.229298 0 0.197938 0 0.109256 0 0.197919 1 0.182459 1 0.240875 1 0.183218 1 0.216204 1 0.109397 1 0.191576 0 0.206768 0 0.133917 0 0.15331 0 0.116636 0 0.149694 0 0.15989 0 0.121952 0 0.129303 0 0.158453 0 0.207454 0 0.190667 0
Names of X columns:
spread2 status
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){ 'Tukey Plot' 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<-leveneTest(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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