Analysis and Presentation of Social Scientific Data

as_huxtable.sim_slopes | Create tabular output for simple slopes analysis |

cat_plot | Plot interaction effects between categorical predictors. |

center | Mean-center vectors, data frames, and survey designs |

center_mod | Center variables in fitted regression models |

effect_plot | Plot simple effects in regression models |

export_summs | Export regression summaries to tables |

glance.summ | Broom extensions for summ objects |

gridlines | Add and remove gridlines |

gscale | Scale and/or center data, including survey designs |

interact_plot | Plot interaction effects in regression models |

johnson_neyman | Calculate Johnson-Neyman intervals for 2-way interactions |

j_summ | Regression summaries with options |

jtools_colors | Color palettes in 'jtools' functions |

knit_print.summ | knitr methods for summ |

make_predictions | Generate predicted data for plotting results of regression... |

make_predictions.brmsfit | Make predictions for brmsfit models |

make_predictions.merMod | Generate predicted data for merMod models |

make_predictions.rq | Make predictions for quantile regression models |

make_predictions.stanreg | Make predictions for stanreg models |

pf_sv_test | Test whether sampling weights are needed |

plot_predictions | Plot predicted effects from make_predictions |

plot.sim_slopes | Plot coefficients from simple slopes analysis |

plot_summs | Plot Regression Summaries |

probe_interaction | Probe interaction effects via simple slopes and plotting |

scale_mod | Scale variables in fitted regression models |

set_summ_defaults | Set defaults for 'summ' function |

sim_slopes | Perform a simple slopes analysis. |

standardize | Standardize vectors, data frames, and survey designs |

summ | Regression summaries with options |

summ.glm | Generalized linear regression summaries with options |

summ.lm | Linear regression summaries with options |

summ.merMod | Mixed effects regression summaries with options |

summ.rq | Quantile regression summaries with options |

summ.svyglm | Complex survey regression summaries with options |

svycor | Calculate Pearson correlations with complex survey data |

svysd | Calculate standard deviations with complex survey data |

theme_apa | Format ggplot2 figures in APA style |

weights_tests | Test whether sampling weights are needed |

wgttest | Test whether sampling weights are needed |

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