LDA

Exercise 1: Change the author to your name, knit, commit, and push

library(tidyverse)
library(MASS)

Exercise 2: Using the data frame below, \(\pi_k\), \(\mu_k\) and \(\sigma_k\) for the two groups.

df <- data.frame(
  x = c(2.5, 1.9, 2.0, 3.0, 2.6, 3.0, 4.9, 2.8, 5.4, 4.2),
  y = c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2)
)

Exercise 3: Use the values calculated in the previous exercise to predict the class when x = 5

Exercise 4: Use the lda function to check your work.