View source: R/coefficient_forestplot.R
coefficient_forestplot | R Documentation |
Create a ggplot forest plot of model coefficients with confidence intervals.
coefficient_forestplot( model_list, model_names = NULL, conflevel = 0.95, horiz = TRUE )
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 |
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.).
A ggplot object to compare model coefficient estimates with their corresponding confidence interval(s), grouped by coefficient.
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)
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