x <- array(list(1,36,3,56,3,48,3,32,1,44,2,39,3,34,3,41,2,50,1,39,1,62,3,52,3,37,3,50,1,41,3,55,3,41,3,56,2,39,2,52,1,46,1,44,1,50,1,50,3,44,1,52,2,54,3,44,2,52,2,37,3,52,1,50,3,36,3,50,1,52,2,55,1,31,1,36,2,49,1,42,1,37,3,41,2,30,2,52,1,30,1,44,1,66,2,48,3,43,3,57,3,46,3,54,2,48,2,48,3,62,3,58,2,58,2,62,3,46,2,34,3,66,3,52,2,55,2,55,3,57,3,56,2,55,1,56,2,54,2,55,2,46,2,52,3,32,2,44,3,46,1,59,3,46,3,46,1,54,1,66,2,56,1,59,3,57,1,52,3,48,2,44,3,41,1,50,1,48,2,48,3,59,1,34,3,46,1,54,2,55,2,54,3,59,3,44,1,54,3,52,3,66,3,44,2,57,3,39,3,60,3,45,3,41,1,50,3,39,1,43,3,48,3,37,3,58,2,46,3,43,2,44,3,34,2,30,2,50,2,39,3,37,3,55,1,41,3,39,3,36,2,43,1,50,3,55,3,43,3,60,2,48,1,30,3,43,3,39,3,52,2,39,3,39,2,56,3,59,3,46,2,57,3,50,3,54,3,50,3,60,1,59,3,41,2,48,3,59,3,60,1,56,3,51),dim=c(2,152),dimnames=list(c('MOMAGE','MC30VRB'),1:152)) y <- array(NA,dim=c(2,152),dimnames=list(c('MOMAGE','MC30VRB'),1:152)) for (i in 1:dim(x)[1]) { for (j in 1:dim(x)[2]) { y[i,j] <- as.numeric(x[i,j]) } } par3 = 'TRUE' par2 = '1' par1 = '2' ylab = 'Y Variable Name' xlab = 'X Variable Name' main = 'Title Goes Here' 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) ) #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab load(file="/var/fisher/rcomp/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="/var/fisher/rcomp/tmp/1tudv1351858961.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="/var/fisher/rcomp/tmp/2sowu1351858961.tab") postscript(file="/var/fisher/rcomp/tmp/3n2081351858961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) boxplot(Response ~ Treatment, data=xdf, xlab=V2, ylab=V1) dev.off() if(intercept==TRUE){ thsd<-TukeyHSD(aov.xdf) postscript(file="/var/fisher/rcomp/tmp/44w2f1351858961.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 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="/var/fisher/rcomp/tmp/564a61351858961.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="/var/fisher/rcomp/tmp/671cn1351858961.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="/var/fisher/rcomp/tmp/7algw1351858961.tab") try(system("convert tmp/3n2081351858961.ps tmp/3n2081351858961.png",intern=TRUE)) try(system("convert tmp/44w2f1351858961.ps tmp/44w2f1351858961.png",intern=TRUE))