Analysis and Presentation of Social Scientific Data

cat_plot | Plot interaction effects between categorical predictors. |

center_lm | Center variables in fitted regression models |

effect_plot | Plot simple effects in regression models |

export_summs | Export regression summaries to tables |

ggplot2-exts | ggplot2 extensions |

glance.summ | Broom extensions for summ objects |

gscale | Scale and/or center regression inputs, including from survey... |

interact_plot | Plot interaction effects in regression models |

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

j_summ | Regression summaries with options |

pf_sv_test | Test whether sampling weights are needed |

plot_summs | Plot Regression Summaries |

probe_interaction | Probe interaction effects via simple slopes and plotting |

scale_lm | Scale variables in fitted regression models |

sim_slopes | Perform a simple slopes analysis. |

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.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 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.