Exercise

# Plot the estimated clusters

At this point, you have discovered the two cluster in the data frame `gaussian_sample`

. In this exercise, you will visualize how the estimated clusters for the iteration 10 fit the data. The vectors `means_iter10`

and `props_iter10`

are already saved in the environment.

To this end, you will use the `ggplot2`

function called `stat_function()`

, which lets you superimpose a function on top of an existing plot. The function you will use a created curve function called `fun_gaussian()`

which takes as arguments the mean and the proportion of the Gaussian.

Instructions

**100 XP**

Plot the histogram in density mode of the variable `x`

and add the estimated curves using `stat_function()`

in combination with the function `fun_gaussian()`

.