NHANES BIBD

Let's jump back into the NHANES data and pretend we have access to NHANES patients ages 18-45. Blocking the adults by race, stored in NHANES as ridreth1, we prescribe to our groups either no particular upper body weightlifting regimen, a weightlifting regimen, or a weightlifting regimen plus a prescribed daily vitamin supplement. This information is stored in a variable called weightlift_treat.

Those funding the study decide they want it to be a BIBD where only 2 treatments appear in each block. The outcome, arm circumference, is stored as bmxarmc. The nhanes_final data is loaded for you.

This exercise is part of the course

Experimental Design in R

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Exercise instructions

Calculate lambda where t = 3, k = 2, and r = 2. Does a BIBD exist here?
Create weightlift_model and examine the results. The experiment evaluates the outcome bmxarmc, where the treatment is stored in weightlift_treat and subjects are blocked by ridreth1.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Calculate lambda
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# Create weightlift_model & examine results
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Edit and Run Code