Regression Models for Data Science in R by Brian Caffo

Author:Brian Caffo [Brian Caffo]
Language: eng
Format: epub, pdf
Publisher: leanpub.com
Published: 2015-07-15T00:00:00+00:00

Other thoughts on this data

We don’t suggest that this is in anyway a thorough analysis of this data. For example, the data are counts which are bounded from below by 0. This clearly violates the assumption of normality of the errors. Also there are counts near zero, so both the actual assumption and the intent of this assumption are violated. Furthermore, the variance does not appear to be constant (look back at the violin plots). Perhaps taking logs of the counts would help. But, since there are 0 counts, maybe log(Count + 1). Also, we’ll cover Poisson GLMs for fitting count data.

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