Go to the ae-07-[GITHUB USERNAME] repo, clone it, and start a new project in RStudio.
Run the following code to configure Git. Fill in your GitHub username and the email address associated with your GitHub account.
library(usethis)
use_git_config(user.name = "your github username", user.email ="your email")library(tidyverse)Use R as a calculator for the exercises in this AE.
Suppose in a class that 30% of students were Pratt students and 70% were Trinity. 10% of Pratt students are vegetarian and 5% of Trinity students are vegetarian.
What is the probability that a randomly selected student in this class is vegetarian?
Given that a student is vegetarian, what is the probability that they are in Pratt?
The global coronavirus pandemic illustrates the need for accurate testing of COVID-19, as its extreme infectivity poses a significant public health threat. Due to the time-sensitive nature of the situation, the FDA has enacted emergency authorization of a number of serological tests for COVID-19. Full details of these tests may be found on its website here.
The Abbott Alinity test has an estimated sensitivity of 100% and specificity of 99%. Recall from lecture: \(D\) is the event that a patient has the disease, and let \(T\) is the event that the test is positive for that disease.
Suppose the prevalence of COVID-19 in the general population is 2%. What are the positive and negative predictive values of the Abbott Alinity test?
Now suppose the prevalence of COVID-19 in the general population is 8%. Repeat the same calculations as in Exercise 3. Can you reuse code from Exercise 3 somehow?
In the context of COVID-19, would you prefer to have a test with perfect sensitivity and good specificity or would you rather have a test with perfect specificity and good sensitivity? Explain your answer.