Tying it all together
Let's take a new modeling example from start to finish!
Let's build a model to predict, BPSysAve
, a person's systolic blood pressure reading, using BPDiaAve
, a person's diastolic blood pressure reading and Diabetes
, whether or not they were diagnosed with diabetes.
This exercise is part of the course
Analyzing Survey Data in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot BPDiaAve and BPSysAve by Diabetes and include trend lines
drop_na(NHANESraw, Diabetes) %>%
ggplot(mapping = aes(___)) +
geom____(alpha = 0.2) +
guides(size = "none") +
geom____(___, se = FALSE, mapping = aes(___))