Livestock Breeding and Genomics - Notebook 6

Problem 1: Regression Model

Use the dataset on weaning weight and fit a regression model of weaning weight on breast circumference. The following tasks are to be completed.

• Use matrix-vector notation to specify the model and fill the information from the dataset into the model.
• Compute the solution for the estimated regression coefficient using a least squares approach.
• Use R to verify your result.

The data set is available from

https://charlotte-ngs.github.io/lbgfs2022/data/beef_data_bc.csv 

Your Solution

• Regression model in matrix-vector notation: define the vectors and matrices required in the model
• Read the data into a tibble/data_frame
• Put information from dataset into the model
• Compute solution for regression coefficient estimate
• Use R to verify

Problem 2: Fixed Linear Effects Model

Use the same dataset as in Problem 1 and fit a fixed linear effects model using breast circumference and herd as fixed effects in a model. Use the same path to get to the solution as in Problem 1 and complete the same set of tasks.

Your Solution

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Latest Changes: 2022-10-28 08:29:38 (pvr)