Advanced Data Handling

 This week's assignment mainly deals with practicing working with more advanced forms of managing and working with data.

1. 


The varying sizes of each group causes the period and treatment tests order-dependent. In more layman's terms, the results of the tests change depending on how the values for both period and treat are arranged in the equation. The ANOVA results are somewhat inaccurate as a result of this variance.


2.



The only singularity present in these model tests occurs in the last test (z ~ b * (x+y)). In this model, both x and y are proportional with each instance of B. R is incapable of recognizing this, resulting in coefficient values of N/A. The main issue with this is that R is not able to detect a singularity if a main effect (b in this case) is affecting the categorical variables present in the equation.


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