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.