as.data.frame.ggeffects |
Adjusted predictions from regression models |
coffee_data |
Sample dataset from a course about analysis of factorial designs |
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 |
format.ggcomparisons |
Print and format ggeffects-objects |
format.ggeffects |
Print and format ggeffects-objects |
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 |
ggaverage |
Adjusted predictions from regression models |
ggeffect |
Adjusted predictions from regression models |
ggemmeans |
Adjusted predictions from regression models |
ggpredict |
Adjusted predictions from regression models |
hypothesis_test |
(Pairwise) comparisons between predictions (marginal effects) |
install_latest |
Update latest ggeffects-version from R-universe (GitHub) or CRAN |
johnson_neyman |
Spotlight-analysis: Create Johnson-Neyman confidence intervals and plots |
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 |
plot.ggjohnson_neyman |
Spotlight-analysis: Create Johnson-Neyman confidence intervals and plots |
pool_comparisons |
Pool contrasts and comparisons from 'test_predictions()' |
pool_predictions |
Pool Predictions or Estimated Marginal Means |
predict_response |
Adjusted predictions and estimated marginal means from regression models |
pretty_range |
Create a pretty sequence over a range of a vector |
print |
Print and format ggeffects-objects |
print.ggcomparisons |
Print and format ggeffects-objects |
print.ggeffects |
Print and format ggeffects-objects |
print_html.ggcomparisons |
Print and format ggeffects-objects |
print_html.ggeffects |
Print and format ggeffects-objects |
print_md.ggcomparisons |
Print and format ggeffects-objects |
print_md.ggeffects |
Print and format ggeffects-objects |
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 |
spotlight_analysis |
Spotlight-analysis: Create Johnson-Neyman confidence intervals and plots |
test_predictions |
(Pairwise) comparisons between predictions (marginal effects) |
test_predictions.default |
(Pairwise) comparisons between predictions (marginal effects) |
test_predictions.ggeffects |
(Pairwise) comparisons between predictions (marginal effects) |
theme_ggeffects |
Plot ggeffects-objects |
values_at |
Calculate representative values of a vector |
vcov |
Calculate variance-covariance matrix for adjusted predictions |
vcov.ggeffects |
Calculate variance-covariance matrix for adjusted predictions |