Data Visualization for Statistics in Social Science

dist_chisq | Plot chi-squared distributions |

dist_f | Plot F distributions |

dist_norm | Plot normal distributions |

dist_t | Plot t-distributions |

efc | Sample dataset from the EUROFAMCARE project |

plot_gpt | Plot grouped proportional tables |

plot_grid | Arrange list of plots as grid |

plot_likert | Plot likert scales as centered stacked bars |

plot_model | Plot regression models |

plot_models | Forest plot of multiple regression models |

plot_residuals | Plot predicted values and their residuals |

plot_scatter | Plot (grouped) scatter plots |

reexports | Objects exported from other packages |

save_plot | Save ggplot-figure for print publication |

set_theme | Set global theme options for sjp-functions |

sjc.cluster | Compute hierarchical or kmeans cluster analysis |

sjc.dend | Compute hierarchical cluster analysis and visualize group... |

sjc.elbow | Compute elbow values of a k-means cluster analysis |

sjc.grpdisc | Compute a linear discriminant analysis on classified cluster... |

sjc.kgap | Compute gap statistics for k-means-cluster |

sjc.qclus | Compute quick cluster analysis |

sjp.aov1 | Plot One-Way-Anova tables |

sjp.chi2 | Plot Pearson's Chi2-Test of multiple contingency tables |

sjp.corr | Plot correlation matrix |

sjp.fa | Plot FA results |

sjp.frq | Plot frequencies of variables |

sjp.grpfrq | Plot grouped or stacked frequencies |

sjp.kfold_cv | Plot model fit from k-fold cross-validation |

sjplot | Wrapper to create plots and tables within a pipe-workflow |

sjPlot-package | Data Visualization for Statistics in Social Science |

sjPlot-themes | Modify plot appearance |

sjp.pca | Plot PCA results |

sjp.poly | Plot polynomials for (generalized) linear regression |

sjp.stackfrq | Plot stacked proportional bars |

sjp.xtab | Plot contingency tables |

sjt.corr | Summary of correlations as HTML table |

sjt.fa | Summary of factor analysis as HTML table |

sjt.glm | Summary of generalized linear models as HTML table |

sjt.glmer | Summary of generalized linear mixed models as HTML table |

sjt.itemanalysis | Summary of item analysis of an item scale as HTML table |

sjt.lm | Summary of linear regression as HTML table |

sjt.lmer | Summary of linear mixed effects models as HTML table |

sjt.pca | Summary of principal component analysis as HTML table |

sjt.stackfrq | Summary of stacked frequencies as HTML table |

sjt.xtab | Summary of contingency tables as HTML table |

tab_df | Print data frames as HTML table. |

tab_model | Print regression models as HTML table |

view_df | View structure of labelled data frames |

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