Exercise

Visualizing Univariate Gaussian Mixture Model

Since you fitted the model into fit_mix_example and extracted the parameters into comp_1, comp_2 and comp_3 (as well as the proportions), let's now plot the corresponding clusters with the density histogram.

To facilitate this last purpose, the fun_prop() function has been defined in the environment. This function provides the density values for a Gaussian distribution, like dnorm, but is extended to also accept the proportions.

Instructions

100 XP

Plot the density histogram together with the density of each cluster. Remember that the data frame is called mix_example.
Use the function stat_function() with the argument fun equals fun_prop to draw the density distribution for each cluster.