Tell me more ×
Cross Validated is a question and answer site for statisticians, data analysts, data miners and data visualization experts. It's 100% free, no registration required.
up vote 1 down vote favorite

I'm trying to analyse data from a factorial experiment with missing cells. I've read this reference http://users.monash.edu.au/~murray/BDAR/ which recomends to treat the experiment with an one-way anova, and make contrasts to evaluate the main effects and interactions.

following the book examples I did

contrasts(fdata$ALL) <- cbind(c(rep(1,46),rep(-1,45), rep(0,32)),c(rep(-1,46),rep(0,45), rep(1,32)))
AnovaM(aov(resp ~ ALL, fdata),
split = list(ALL = list("PIE" = 1:2, " PIE1 vs PIE2"=1, " PIE1 vs PIE3"=2)))

I'm having trouble generating contrasts in R, and knowing how to generate the correct contrasts to each interaction.

I have six factors, five with 3 levels, and one with two, does any one know a systematic way to treat this kind of problem?

share|improve this question

migrated from stackoverflow.com Sep 30 '12 at 23:36

Know someone who can answer? Share a link to this question via email, Google+, Twitter, or Facebook.

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Browse other questions tagged or ask your own question.