Exercise

# Visualizing the random effects

Now that you have visualized the population level model between orchid `abundance`

and `humidity`

, what about the *random* *component* of the model? You want to know how the random effect of `site`

on the intercept coefficients changes your model predictions.

Note that the `orchids`

data set, `nlme`

and `ggplot2`

libraries, `random_int_model`

model, and `pred_df.fixed`

data frame have been preloaded.

Instructions 1/3

**undefined XP**

- Create a data frame using
`expand.grid()`

containing 10 values of`humidity`

between 40 and 75 at each value of`site`

.