paramhetero (version 1.0.0)

coefficient_forestplot: Create forest plot of model coefficients with confidence intervals

Description

Create a ggplot forest plot of model coefficients with confidence intervals.

Usage

coefficient_forestplot(
  model_list,
  model_names = NULL,
  conflevel = 0.95,
  horiz = TRUE
)

Arguments

model_list

A list of regression models.

model_names

A list of names for the regression models.

conflevel

Confidence level for intervals.

horiz

Toggle whether confidence intervals are displayed horizontally or vertically. Default is set to TRUE.

Value

A ggplot object to compare model coefficient estimates with their corresponding confidence interval(s), grouped by coefficient.

Details

The forest plot groups variables along the axis determined by the horiz parameter and colors the data by model. If model_names = NULL, the default, models are numbered sequentially in the order they appear in model_list (Model 1, Model 2, Model 3, etc.).

Examples

# NOT RUN {
 states = as.data.frame(state.x77)

 m1 = lm(`Life Exp` ~ Income + Illiteracy, data=states,
         subset=state.region=='Northeast')
 m2 = lm(`Life Exp` ~ Income + Illiteracy, data=states,
         subset=state.region=='South')
 m3 = lm(`Life Exp` ~ Income + Illiteracy, data=states,
         subset=state.region=='North Central')
 m4 = lm(`Life Exp` ~ Income + Illiteracy, data=states,
         subset=state.region=='West')

 mList = list(m1, m2, m3, m4)

 coefficient_forestplot(model_list = mList,
                        model_names =c('Northeast', 'South',
                                       'North Central', 'West'),
                        horiz = FALSE)

# }