Package index • ggeffects

Adjusted Predictions and Marginal Means for Regression Models

predict_response(): Adjusted predictions and estimated marginal means from regression models

as.data.frame(<ggeffects>) ggaverage() ggeffect() ggemmeans() ggpredict(): Adjusted predictions from regression models

pool_predictions(): Pool Predictions or Estimated Marginal Means

Pairwise Comparisons, Contrasts and Marginal Effects

johnson_neyman() spotlight_analysis() plot(<ggjohnson_neyman>): Spotlight-analysis: Create Johnson-Neyman confidence intervals and plots

test_predictions() hypothesis_test(): (Pairwise) comparisons between predictions (marginal effects)

pool_comparisons(): Pool contrasts and comparisons from test_predictions()

Plotting Adjusted Predictions

plot(<ggeffects>) theme_ggeffects() ggeffects_palette() show_palettes(): Plot ggeffects-objects

Data Grids and Meaningful Values

collapse_by_group(): Collapse raw data by random effect groups

new_data() data_grid(): Create a data frame from all combinations of predictor values

pretty_range(): Create a pretty sequence over a range of a vector

residualize_over_grid(): Compute partial residuals from a data grid

values_at() representative_values(): Calculate representative values of a vector

Printing and Formatting Output

format(<ggeffects>) format(<ggcomparisons>) print(<ggeffects>) print_md(<ggeffects>) print_html(<ggeffects>) print(<ggcomparisons>) print_html(<ggcomparisons>) print_md(<ggcomparisons>): Print and format ggeffects-objects

reexports print_html print_md: Objects exported from other packages

Plot Annotation from Labelled Data

get_title() get_x_title() get_y_title() get_legend_title() get_legend_labels() get_x_labels() get_complete_df(): Get titles and labels from data

Utilities

get_predictions(): S3-class definition for the ggeffects package

install_latest(): Update latest ggeffects-version from R-universe (GitHub) or CRAN

vcov(<ggeffects>): Calculate variance-covariance matrix for adjusted predictions

Sample Data Sets

coffee_data: Sample dataset from a course about analysis of factorial designs

efc efc_test: Sample dataset from the EUROFAMCARE project

fish: Sample data set

lung2: Sample data set