I am trying to understand how best to analyze my data, or find similar examples.
I have two independent variables: Treatment (11 categorical levels) and Genotype (2 categorical levels). I then measure Developmental level (5 ordinal categorical levels) and Weight (continuous). One of the Developmental levels is "did not survive" and thus has no Weight (at end of experiment) associated with it.
I want to test if Treatment and Genotype, and their interaction, have an effect on Development and Weight.
The closest I have come to a related example is the "Stem Cell Research and Religious Fundamentalism" example in http://users.stat.ufl.edu/~aa/ordinal/R_examples.pdf that was mentioned by @G-Grothendieckin in Regression with all explanatory variables being categorical (not ordinal) and dependent variable being ordinal
However, this example specifically mentions turning one of the categorical independent variables into a quantitative variable.