Are all hierarchical models necessarily mixed models

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Reference no: EM132995567

Using the lme4 package, we can call this data set with the command:
data(Arabidopsis)

Access "Package ‘lme4,'" to retrieve data on genetic variation in responses to fertilization and simulated herbivory in Arabidopsis. This data set can be used with the command: data(Arabidopsis). Using the lme4 package:

1. Establish with argument what effects there are, and whether they are random or fixed. Use the "lmer" function to then fit your proposed model to the data. Provide residual plots and statistical conclusions regarding extrapolating this model to other data points.

2. Explain the mathematical meaning behind each for the input parameters to the "lmer" function.
Explain your reasoning and provide examples where necessary when answering the following questions:
• Are all hierarchical models necessarily mixed models?
• Are mixed models necessarily hierarchical?

Submit your code and any output of the code to include tables and graphs as indicated. Submission of R code can be accomplished by creating a markdown document in RStudio and saving this as a .txt file. Submission of mathematical proofs can be accomplished using Microsoft Word's equation creator, LaTeX, or neatly written work that has been scanned into PDF format. For questions that require a written response, use no fewer than three complete sentences or 50 words.

Reference no: EM132995567

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