x <- array(list(1 ,1 ,4 ,0 ,2 ,'T' ,0 ,3 ,-1 ,1 ,4 ,1 ,1 ,0 ,0 ,2 ,'T' ,0 ,-1 ,-1 ,1 ,0 ,0 ,1 ,4 ,1 ,1.5 ,'T' ,1 ,4 ,1 ,1.5 ,5 ,0 ,0 ,0 ,0 ,0 ,'T' ,0 ,0 ,0 ,0 ,0 ,1 ,1 ,0 ,1 ,1 ,'T' ,0 ,-1 ,0 ,0 ,0 ,1 ,1 ,0 ,1 ,2 ,'T' ,0 ,-1 ,0 ,1 ,0 ,1 ,1 ,0 ,1 ,2 ,'T' ,0 ,-1 ,0 ,1 ,0 ,0 ,1 ,0 ,1 ,1 ,'T' ,1 ,0 ,1 ,1 ,1 ,0 ,1 ,4 ,1 ,2 ,'T' ,1 ,4 ,1 ,2 ,5 ,1 ,1 ,1 ,0 ,2 ,'T' ,0 ,0 ,-1 ,1 ,1 ,0 ,0 ,4 ,0 ,2 ,'T' ,0 ,4 ,0 ,2 ,4 ,0 ,1 ,0 ,1 ,0 ,'T' ,1 ,0 ,1 ,0 ,1 ,0 ,1 ,2 ,1 ,0 ,'T' ,1 ,2 ,1 ,0 ,3 ,0 ,1 ,0 ,0 ,2 ,'T' ,1 ,0 ,0 ,2 ,1 ,0 ,0 ,0 ,NA ,NA ,'T' ,0 ,0 ,NA ,NA ,0 ,1 ,1 ,0 ,1 ,2 ,'T' ,0 ,-1 ,0 ,1 ,0 ,1 ,1 ,1 ,0 ,2 ,'T' ,0 ,0 ,-1 ,1 ,1 ,1 ,1 ,0 ,1 ,0.5 ,'T' ,0 ,-1 ,0 ,-0.5 ,0 ,0 ,1 ,0 ,1 ,2 ,'T' ,1 ,0 ,1 ,2 ,1 ,0 ,0 ,2 ,1 ,0 ,'T' ,0 ,2 ,1 ,0 ,2 ,1 ,1 ,2 ,1 ,2 ,'T' ,0 ,1 ,0 ,1 ,2 ,1 ,1 ,1 ,0 ,0 ,'T' ,0 ,0 ,-1 ,-1 ,1 ,0 ,0 ,2 ,NA ,NA ,'T' ,0 ,2 ,NA ,NA ,2 ,1 ,0 ,0 ,NA ,NA ,'T' ,-1 ,-1 ,NA ,NA ,-1 ,1 ,1 ,3 ,1 ,2 ,'T' ,0 ,2 ,0 ,1 ,3 ,1 ,0 ,0 ,1 ,0 ,'T' ,-1 ,-1 ,0 ,-1 ,-1 ,1 ,1 ,0 ,NA ,NA ,'T' ,0 ,-1 ,NA ,NA ,0 ,0 ,0 ,0 ,NA ,NA ,'T' ,0 ,0 ,NA ,NA ,0 ,0 ,0 ,1 ,0 ,2 ,'T' ,0 ,1 ,0 ,2 ,1 ,1 ,1 ,0 ,1 ,1 ,'T' ,0 ,-1 ,0 ,0 ,0 ,1 ,0 ,0 ,0 ,0.5 ,'T' ,-1 ,-1 ,-1 ,-0.5 ,-1 ,1 ,1 ,4 ,0 ,2 ,'T' ,0 ,3 ,-1 ,1 ,4 ,0 ,0 ,0 ,1 ,0.5 ,'T' ,0 ,0 ,1 ,0.5 ,0 ,0 ,0 ,1 ,NA ,NA ,'T' ,0 ,1 ,NA ,NA ,1 ,0 ,0 ,0 ,1 ,0.5 ,'T' ,0 ,0 ,1 ,0.5 ,0 ,1 ,1 ,0 ,NA ,NA ,'T' ,0 ,-1 ,NA ,NA ,0 ,1 ,1 ,4 ,0 ,2 ,'T' ,0 ,3 ,-1 ,1 ,4 ,0 ,1 ,1 ,1 ,0 ,'E' ,1 ,1 ,1 ,0 ,2 ,0 ,1 ,0 ,1 ,1 ,'E' ,1 ,0 ,1 ,1 ,1 ,1 ,1 ,4 ,1 ,2 ,'E' ,0 ,3 ,0 ,1 ,4 ,1 ,1 ,0 ,1 ,1 ,'E' ,0 ,-1 ,0 ,0 ,0 ,1 ,1 ,4 ,1 ,2 ,'E' ,0 ,3 ,0 ,1 ,4 ,1 ,1 ,0 ,0 ,0 ,'E' ,0 ,-1 ,-1 ,-1 ,0 ,1 ,1 ,0 ,1 ,0.5 ,'E' ,0 ,-1 ,0 ,-0.5 ,0 ,0 ,0 ,0 ,1 ,0 ,'E' ,0 ,0 ,1 ,0 ,0 ,0 ,1 ,4 ,1 ,2 ,'E' ,1 ,4 ,1 ,2 ,5 ,0 ,1 ,0 ,0 ,0 ,'E' ,1 ,0 ,0 ,0 ,1 ,1 ,1 ,0 ,0 ,1 ,'E' ,0 ,-1 ,-1 ,0 ,0 ,1 ,1 ,4 ,1 ,2 ,'E' ,0 ,3 ,0 ,1 ,4 ,0 ,0 ,4 ,0 ,0.5 ,'E' ,0 ,4 ,0 ,0.5 ,4 ,0 ,1 ,0 ,1 ,2 ,'E' ,1 ,0 ,1 ,2 ,1 ,1 ,1 ,1 ,1 ,2 ,'E' ,0 ,0 ,0 ,1 ,1 ,0 ,1 ,0 ,1 ,2 ,'E' ,1 ,0 ,1 ,2 ,1 ,0 ,0 ,4 ,NA ,NA ,'E' ,0 ,4 ,NA ,NA ,4 ,0 ,1 ,0 ,0 ,0 ,'E' ,1 ,0 ,0 ,0 ,1 ,0 ,1 ,2 ,1 ,0 ,'E' ,1 ,2 ,1 ,0 ,3 ,0 ,1 ,0 ,1 ,0.5 ,'E' ,1 ,0 ,1 ,0.5 ,1 ,0 ,1 ,4 ,NA ,NA ,'E' ,1 ,4 ,NA ,NA ,5 ,0 ,0 ,4 ,0 ,2 ,'E' ,0 ,4 ,0 ,2 ,4 ,0 ,0 ,0 ,NA ,NA ,'E' ,0 ,0 ,NA ,NA ,0 ,0 ,1 ,0 ,1 ,0 ,'E' ,1 ,0 ,1 ,0 ,1 ,1 ,1 ,4 ,1 ,2 ,'E' ,0 ,3 ,0 ,1 ,4 ,1 ,1 ,0 ,1 ,1 ,'E' ,0 ,-1 ,0 ,0 ,0 ,1 ,0 ,0 ,1 ,0 ,'E' ,-1 ,-1 ,0 ,-1 ,-1 ,0 ,0 ,2 ,1 ,2 ,'E' ,0 ,2 ,1 ,2 ,2 ,0 ,1 ,0 ,0 ,1 ,'E' ,1 ,0 ,0 ,1 ,1 ,0 ,1 ,0 ,1 ,2 ,'E' ,1 ,0 ,1 ,2 ,1 ,0 ,0 ,0 ,0 ,0 ,'E' ,0 ,0 ,0 ,0 ,0 ,1 ,1 ,4 ,1 ,1 ,'E' ,0 ,3 ,0 ,0 ,4 ,1 ,1 ,4 ,1 ,2 ,'E' ,0 ,3 ,0 ,1 ,4 ,0 ,1 ,2 ,0 ,0 ,'S' ,1 ,2 ,0 ,0 ,3 ,0 ,1 ,0 ,0 ,0 ,'S' ,1 ,0 ,0 ,0 ,1 ,0 ,1 ,0 ,0 ,0 ,'S' ,1 ,0 ,0 ,0 ,1 ,0 ,1 ,4 ,0 ,0 ,'S' ,1 ,4 ,0 ,0 ,5 ,1 ,1 ,0 ,1 ,2 ,'S' ,0 ,-1 ,0 ,1 ,0 ,1 ,0 ,0 ,1 ,2 ,'S' ,-1 ,-1 ,0 ,1 ,-1 ,0 ,0 ,1 ,1 ,2 ,'S' ,0 ,1 ,1 ,2 ,1 ,1 ,1 ,2 ,1 ,2 ,'S' ,0 ,1 ,0 ,1 ,2 ,1 ,0 ,0 ,1 ,2 ,'S' ,-1 ,-1 ,0 ,1 ,-1 ,1 ,1 ,2 ,1 ,2 ,'S' ,0 ,1 ,0 ,1 ,2 ,0 ,0 ,0 ,1 ,2 ,'S' ,0 ,0 ,1 ,2 ,0 ,0 ,0 ,4 ,1 ,2 ,'S' ,0 ,4 ,1 ,2 ,4 ,0 ,0 ,4 ,1 ,2 ,'S' ,0 ,4 ,1 ,2 ,4 ,1 ,0 ,0 ,1 ,2 ,'S' ,-1 ,-1 ,0 ,1 ,-1 ,0 ,0 ,0 ,NA ,NA ,'S' ,0 ,0 ,NA ,NA ,0 ,0 ,0 ,4 ,1 ,2 ,'S' ,0 ,4 ,1 ,2 ,4 ,1 ,0 ,0 ,NA ,NA ,'S' ,-1 ,-1 ,NA ,NA ,-1 ,1 ,1 ,4 ,1 ,2 ,'S' ,0 ,3 ,0 ,1 ,4 ,0 ,0 ,2 ,1 ,2 ,'S' ,0 ,2 ,1 ,2 ,2 ,0 ,0 ,2 ,NA ,NA ,'S' ,0 ,2 ,NA ,NA ,2 ,1 ,1 ,0 ,0 ,0 ,'S' ,0 ,-1 ,-1 ,-1 ,0 ,1 ,1 ,0 ,1 ,2 ,'S' ,0 ,-1 ,0 ,1 ,0 ,1 ,1 ,4 ,NA ,NA ,'S' ,0 ,3 ,NA ,NA ,4 ,0 ,1 ,0 ,1 ,2 ,'S' ,1 ,0 ,1 ,2 ,1 ,1 ,1 ,0 ,1 ,2 ,'S' ,0 ,-1 ,0 ,1 ,0 ,1 ,1 ,0 ,1 ,2 ,'S' ,0 ,-1 ,0 ,1 ,0 ,1 ,1 ,4 ,1 ,2 ,'S' ,0 ,3 ,0 ,1 ,4 ,1 ,1 ,4 ,1 ,2 ,'S' ,0 ,3 ,0 ,1 ,4 ,0 ,0 ,0 ,NA ,NA ,'S' ,0 ,0 ,NA ,NA ,0 ,0 ,0 ,0 ,0 ,0 ,'S' ,0 ,0 ,0 ,0 ,0 ,1 ,1 ,2 ,0 ,0 ,'S' ,0 ,1 ,-1 ,-1 ,2 ,0 ,0 ,1 ,1 ,2 ,'S' ,0 ,1 ,1 ,2 ,1 ,0 ,0 ,0 ,0 ,0 ,'S' ,0 ,0 ,0 ,0 ,0 ,0 ,0 ,2 ,1 ,2 ,'S' ,0 ,2 ,1 ,2 ,2 ,0 ,1 ,1 ,0 ,0 ,'S' ,1 ,1 ,0 ,0 ,2) ,dim=c(11 ,105) ,dimnames=list(c('pre' ,'post1' ,'post2' ,'post3' ,'post4' ,'Treatment' ,'post1-pre' ,'post2-pre' ,'post3-pre' ,'post4-pre' ,'Tot-pre') ,1:105)) y <- array(NA,dim=c(11,105),dimnames=list(c('pre','post1','post2','post3','post4','Treatment','post1-pre','post2-pre','post3-pre','post4-pre','Tot-pre'),1:105)) for (i in 1:dim(x)[1]) { for (j in 1:dim(x)[2]) { y[i,j] <- as.numeric(x[i,j]) } } par20 = '' par19 = '' par18 = '' par17 = '' par16 = '' par15 = '' par14 = '' par13 = '' par12 = '' par11 = '' par10 = '' par9 = '' par8 = '' par7 = '' par6 = '' par5 = '' par4 = '' par3 = 'TRUE' par2 = '6' par1 = '7' ylab = 'Y Variable Name' xlab = 'X Variable Name' main = 'Title Goes Here' par3 <- 'TRUE' par2 <- '8' par1 <- '7' 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/1vuyp1356116383.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/23ziq1356116383.tab") postscript(file="/var/fisher/rcomp/tmp/3qm8t1356116383.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){ 'Tukey Plot' thsd<-TukeyHSD(aov.xdf) postscript(file="/var/fisher/rcomp/tmp/4kx1w1356116383.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/5ofqw1356116383.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/6ppcy1356116383.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="/var/fisher/rcomp/tmp/7ci1s1356116383.tab") try(system("convert tmp/3qm8t1356116383.ps tmp/3qm8t1356116383.png",intern=TRUE)) try(system("convert tmp/4kx1w1356116383.ps tmp/4kx1w1356116383.png",intern=TRUE))