x <- array(list(36,1,56,2,48,2,32,2,44,1,39,2,34,2,41,3,50,3,39,1,62,3,52,2,37,3,50,2,41,1,55,2,41,2,56,3,39,2,52,1,46,2,44,2,41,2,50,3,50,3,44,2,52,1,54,2,44,2,52,3,37,2,52,3,50,3,36,1,50,1,52,3,55,3,31,2,36,1,49,1,42,1,37,2,41,2,30,1,52,1,30,3,44,1,66,2,48,3,43,2,57,2,46,1,54,3,48,3,48,2,62,1,58,3,58,2,62,2,46,2,34,1,66,2,52,3,55,2,55,1,57,3,56,1,55,2,56,3,54,1,55,3,46,2,52,1,32,2,44,1,46,2,59,2,46,3,46,3,54,3,66,3,56,2,59,2,57,2,52,3,48,1,44,1,41,2,50,1,48,3,48,2,59,2,46,2,54,2,55,2,54,3,59,2,44,2,54,3,52,3,66,3,44,2,57,2,39,1,60,3,45,2,41,2,50,2,39,2,43,2,48,1,37,2,58,2,46,1,43,1,44,2,34,3,30,1,50,3,39,1,37,2,55,2,39,1,36,3,43,2,50,3,55,2,43,2,60,3,48,2,30,3,43,2,39,1,52,2,39,1,39,1,56,1,59,1,46,2,57,2,50,2,54,1,50,3,60,3,59,3,41,2,48,1,59,2,60,3,56,2,51,1),dim=c(2,151),dimnames=list(c('MC30VRB','MWARM30'),1:151)) y <- array(NA,dim=c(2,151),dimnames=list(c('MC30VRB','MWARM30'),1:151)) 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 = '2' par1 = '1' 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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/1gtba1322248503.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/wessaorg/rcomp/tmp/20lad1322248503.tab") postscript(file="/var/wessaorg/rcomp/tmp/3fxga1322248503.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/wessaorg/rcomp/tmp/47sqo1322248503.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/wessaorg/rcomp/tmp/5ns281322248503.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/wessaorg/rcomp/tmp/6u6901322248503.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/wessaorg/rcomp/tmp/7qxcu1322248503.tab") try(system("convert tmp/3fxga1322248503.ps tmp/3fxga1322248503.png",intern=TRUE)) try(system("convert tmp/47sqo1322248503.ps tmp/47sqo1322248503.png",intern=TRUE))