Summarizing and visualizing regression models

summ()

Regression summaries with options

summ(<lm>)

Linear regression summaries with options

summ(<glm>)

Generalized linear regression summaries with options

summ(<svyglm>)

Complex survey regression summaries with options

summ(<merMod>)

Mixed effects regression summaries with options

summ(<rq>)

Quantile regression summaries with options

set_summ_defaults()

Set defaults for summ function

export_summs()

Export regression summaries to tables

plot_summs() plot_coefs()

Plot Regression Summaries

effect_plot()

Plot simple effects in regression models

j_summ()

Regression summaries with options

Probing and visualizing interaction effects

interact_plot()

Plot interaction effects in regression models

sim_slopes()

Perform a simple slopes analysis.

probe_interaction()

Probe interaction effects via simple slopes and plotting

johnson_neyman()

Calculate Johnson-Neyman intervals for 2-way interactions

cat_plot()

Plot interaction effects between categorical predictors.

make_predictions()

Generate predicted data for plotting results of regression models

make_predictions(<merMod>)

Generate predicted data for merMod models

make_predictions(<rq>)

Make predictions for quantile regression models

make_predictions(<brmsfit>)

Make predictions for brmsfit models

make_predictions(<stanreg>)

Make predictions for stanreg models

plot_predictions()

Plot predicted effects from make_predictions

as_huxtable.sim_slopes()

Create tabular output for simple slopes analysis

plot(<sim_slopes>)

Plot coefficients from simple slopes analysis

Data centering and scaling tools

gscale()

Scale and/or center data, including survey designs

scale_mod()

Scale variables in fitted regression models

center_mod()

Center variables in fitted regression models

standardize()

Standardize vectors, data frames, and survey designs

center()

Mean-center vectors, data frames, and survey designs

Survey data tools

svycor()

Calculate Pearson correlations with complex survey data

svysd()

Calculate standard deviations with complex survey data

weights_tests()

Test whether sampling weights are needed

wgttest()

Test whether sampling weights are needed

pf_sv_test()

Test whether sampling weights are needed

Theming

theme_apa()

Format ggplot2 figures in APA style

add_gridlines() add_x_gridlines() add_y_gridlines() drop_gridlines() drop_x_gridlines() drop_y_gridlines()

Add and remove gridlines

Miscellaneous

jtools_colors

Color palettes in jtools functions

tidy.summ() glance.summ.lm() glance.summ.glm() glance.summ.svyglm() glance.summ.merMod() tidy.sim_slopes() glance.sim_slopes() glance.summ.rq()

Broom extensions for summ objects

knit_print.summ.lm() knit_print.summ.glm() knit_print.summ.svyglm() knit_print.summ.merMod() knit_print.summ.rq()

knitr methods for summ