# Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

## Documentation for package ‘ggeffects’ version 1.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

collapse_by_group | Collapse raw data by random effect groups
data_grid | Create a data frame from all combinations of predictor values
efc | Sample dataset from the EUROFAMCARE project
efc_test | Sample dataset from the EUROFAMCARE project
fish | Sample data set
get_complete_df | Get titles and labels from data
get_legend_labels | Get titles and labels from data
get_legend_title | Get titles and labels from data
get_title | Get titles and labels from data
get_x_labels | Get titles and labels from data
get_x_title | Get titles and labels from data
get_y_title | Get titles and labels from data
ggeffect | Marginal effects, adjusted predictions and estimated marginal means from regression models
ggemmeans | Marginal effects, adjusted predictions and estimated marginal means from regression models
ggpredict | Marginal effects, adjusted predictions and estimated marginal means from regression models
lung2 | Sample data set
new_data | Create a data frame from all combinations of predictor values
plot | Plot ggeffects-objects
plot.ggeffects | Plot ggeffects-objects
pool_predictions | Pool Predictions or Estimated Marginal Means
pretty_range | Create a pretty sequence over a range of a vector
representative_values | Calculate representative values of a vector
residualize_over_grid | Compute partial residuals from a data grid
residualize_over_grid.data.frame | Compute partial residuals from a data grid
residualize_over_grid.ggeffects | Compute partial residuals from a data grid
show_pals | Plot ggeffects-objects
theme_ggeffects | Plot ggeffects-objects
values_at | Calculate representative values of a vector
vcov | Calculate variance-covariance matrix for marginal effects
vcov.ggeffects | Calculate variance-covariance matrix for marginal effects