Function Overview | Introductions | Basics | Interpretation | Visualization | Case Studies | Workflows | Contrasts | Technical Details

How to Use report() and get AI-Optimized Output | The "last statistical mile" | easystats in the Age of AI | Basic Usage | Setting the Option Globally | Converting a Quarto Document

Introduction | (Partial) Percent Variance Explained | In Simple Effect and Contrast Analysis | In Linear Mixed Models | Bias-Corrected Indices | Measure of Association | For Slopes | In Contrast Analysis | Measures of Difference | Between-Subject Contrasts | Within-Subject Contrasts | References

Installation | Supported Objects | Dataframes | Grouped Dataframes | Correlations, t-test, and Wilcox test | Regression models | Linear regression (lm) | anova (aov) | General Linear Models (GLMs) (glm) | Linear Mixed-Effects Models (merMod)

Function Overview | Description of Parameters | Formatting, Printing and Plotting | Dimension Reduction and Clustering | Plotting Functions

The difference between a dataframe and its render | The insight workflow | Formatting | Using unicode symbols as effect size names | Exporting | Displaying tables with display()

Converting Between d and r | In multiple regression | Converting Between OR and d | References

Adding (almost) full support to the easystats ecosystem | Adding basic support

Exporting data frames into nice tables | Adding (coloured) titles | Adding (coloured) table footers | Adding subtitles | Exporting multiple data frames into multiple tables | Adding table captions and footers | Splitting one long table into multiple tables

Analytic workflows of easystats packages | Introductions to easystats | Miscellaneous

Function Overview | Data Preparation | Statistical Transformations

Overview of Core Functions | Definition of Model Components | Data | Parameters | Response and Predictors | Variables | Terms | Random Effects | Examples | Examples of Use Cases in R | Making Predictions at Specific Values of a Term of Interest | Printing Model Coefficients | Examples of Use Cases in R packages

Implications

Overview | What is statistical power and power analysis? | What is effectsize? | Putting the Pieces Together: Hypothesis Testing | Example: Comparing Means of Independent Samples | Calculate Effect Size | Approach 1: effectsize() | Approach 2: cohens_d() | Approach 3: t_to_d() | Example: Contingency Table | Example: ANOVA (and Model Comparisons) | References

Two Independent Samples | One Sample | Paired Samples | For a Bayesian t-test | (Multivariate) Standardized Distances | Means Ratio | Dominance Effect Sizes | Common Language Effect Sizes | Measures of (Non)Overlap | Probabilistic Measures | One Sample and Paired Samples | References

Nominal Correlation | 2-by-2 Tables | Larger Tables | For a Bayesian $\chi^2$-test | Goodness of Fit | Differences in Proportions | Paired Contingency Tables | References

Different Methods for Correlations | Comparison | Utility functions | Effect of Relationship Type | References

Converting Between p and Odds | Odds are not Odds Ratios | Converting Between Odds Ratios, Risk Ratios and Absolute Risk Reduction | References

Eta2 | Adding More Terms | Adding Interactions | Other Measures of Effect Size | Unbiased Effect Sizes | Generalized Eta2 | Cohen's f | When Sum-of-Squares are Hard to Come By | For Bayesian Models | For Ordinal Outcomes | References

What should I cite? | 1. Cite the main/important packages in the manuscript | 2. Present everything in Supplementary Materials | Where | cite_easystats()

Why? | Correlation r | @funder2019evaluating | @gignac2016effect | @cohen1988statistical | @evans1996straightforward | @lovakov2021empirically | Standardized Difference d (Cohen's d) | @sawilowsky2009new | Odds Ratio (OR) | @chen2010big | Coefficient of determination (R2) | For Linear Regression | @falk1992primer | For PLS / SEM R-Squared of latent variables | @chin1998partial | @hair2011pls | Omega / Eta / Epsilon Squared | @field2013discovering | @cohen1992power | Kendall's coefficient of concordance | @landis1977measurement | Cohen's g | Interpretation of other Indices | References

Supporting ANOVA Effect Sizes | Simple ANOVA tables | ANOVA Tables with Multiple Error Strata | Approximate Effect sizes | Example | References

Getting started with correlations | t-tests, ... | ANOVAs | Linear Models

Aims of the Package | Comparison to Other Packages | Examples of Features | Indices of Effect Size | Standardized Differences | Contingency Tables | Parameter and Model Standardization | Effect Sizes for ANOVAs | Effect Size Conversion | From Test Statistics | Between Effect Sizes | Effect Size Interpretation | Licensing and Availability | Acknowledgments | References

Data | Simple correlation | The Simpson's Paradox

Function Overview | Get Started | Examples | Articles | In-Depths | Guidelines

1. Open an Issue on GitHub | 2. Use template file