Applied Statistical Methods - Notebook 8

Problem 1: Repeated Measurements Data

Simulate a dataset with repeated measurements of Body Weight and Breed. The following dataset can be used as a basis:

https://charlotte-ngs.github.io/asmss2022/data/asm_bw_flem.csv 

The generated dataset should have the following properties

• For every observation, the ID of the animal, its Body Weight and its Breed should be contained in the dataset.
• Each animal of the given basis dataset should have 5 repeated observations of Body Weight and Breed.
• The phenotypic variance of Body Weight within the repeated observations of one animal should be 50% of the total phenotypic variance of Body Weight determined from the given basis dataset.

Your Tasks

• Analyse the generated dataset with an ANOVA
• Try to see whether you can re-cover the used input data in the results of the analysis

Your Solution

• Read the given basis dataset
• Loop over the records in the basis dataset and add the required number of records
• Analyse the generated dataset with an ANOVA
• Assess the results and compare them with the input used in the simulation

Problem 2: Random Effects Model

Analyse the dataset generated in Problem 1 with a random effects model using the package lme4. If you had difficulties to solve Problem 1, then you can also use the following dataset.

https://charlotte-ngs.github.io/asmss2022/data/asm_ex08_p01_rep_obs.csv 

Your Solution

• Read generated dataset from Problem 1
• Analyse the data using lme4::lmer()

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Latest Changes: 2022-05-06 07:43:31 (pvr)