- Objective: Summarize results in graphs instead of unreadable tables
- Statistical results: Stored in model objects
- Inspect the model object with
modelname$...
- Two approaches
- Estimates models and extract estimates from model objects (and other characteristics) to visualize them
broom::tidy()
: Use the tidy function to extract estimates etc.
broom::confint_tidy
: Add confidence intervals
- Use plotting functions that directly plot estimates from model objects
## (Intercept) Catholic
## 64.4282621 0.1388857
term
|
estimate
|
std.error
|
statistic
|
p.value
|
(Intercept)
|
64.4282621
|
2.3050957
|
27.950363
|
0.0000000
|
Catholic
|
0.1388857
|
0.0395606
|
3.510712
|
0.0010285
|