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https://github.com/easystats/effectsize

:dragon: Compute and work with indices of effect size and standardized parameters
https://github.com/easystats/effectsize

anova cohens-d compute conversion correlation effect-size effectsize hacktoberfest hedges-g interpretation r standardization standardized statistics

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:dragon: Compute and work with indices of effect size and standardized parameters

Host: GitHub
URL: https://github.com/easystats/effectsize
Owner: easystats
License: other
Created: 2019-10-08T05:20:04.000Z (about 5 years ago)
Default Branch: main
Last Pushed: 2024-05-12T06:55:46.000Z (6 months ago)
Last Synced: 2024-05-19T21:01:00.903Z (6 months ago)
Topics: anova, cohens-d, compute, conversion, correlation, effect-size, effectsize, hacktoberfest, hedges-g, interpretation, r, standardization, standardized, statistics
Language: PostScript
Homepage: https://easystats.github.io/effectsize/
Size: 33.8 MB
Stars: 324
Watchers: 12
Forks: 22
Open Issues: 22
Metadata Files:
- Readme: README.Rmd
- Contributing: .github/CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Support: .github/SUPPORT.md

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jimsghstars - easystats/effectsize - :dragon: Compute and work with indices of effect size and standardized parameters (PostScript)

README

        ---

output: github_document

---

# effectsize: Indices of Effect Size 

```{r setup, echo = FALSE, warning=FALSE, message=FALSE}

library(effectsize)

options(digits = 3)

knitr::opts_chunk$set(

  collapse = TRUE,

  dpi = 450,

  fig.path = "man/figures/"

)

set.seed(111)

```

[![DOI](https://joss.theoj.org/papers/10.21105/joss.02815/status.svg/)](https://doi.org/10.21105/joss.02815)

[![downloads](https://cranlogs.r-pkg.org/badges/effectsize)](https://cran.r-project.org/package=effectsize/)

[![total](https://cranlogs.r-pkg.org/badges/grand-total/effectsize)](https://cran.r-project.org/package=effectsize/)

***Significant is just not enough!***

The goal of this package is to provide utilities to work with indices of effect size and standardized parameters, allowing computation and conversion of indices such as Cohen's *d*, *r*, odds-ratios, etc.

## Installation

[![CRAN](https://www.r-pkg.org/badges/version/effectsize)](https://cran.r-project.org/package=effectsize/)

[![effectsize status badge](https://easystats.r-universe.dev/badges/effectsize/)](https://easystats.r-universe.dev/)

[![R-CMD-check](https://github.com/easystats/effectsize/workflows/R-CMD-check/badge.svg?branch=main)](https://github.com/easystats/effectsize/actions)

[![pkgdown](https://github.com/easystats/effectsize/workflows/pkgdown/badge.svg/)](https://github.com/easystats/effectsize/actions/)

[![Codecov test coverage](https://codecov.io/gh/easystats/effectsize/branch/main/graph/badge.svg/)](https://app.codecov.io/gh/easystats/effectsize?branch=main/)

Run the following to install the stable release of **effectsize** from CRAN:

```{r install-CRAN, warning=FALSE, message=FALSE, eval=FALSE}

install.packages("effectsize")

```

Or you can install the latest development version from [*R-universe*](https://easystats.r-universe.dev):

```{r install-R-universe, warning=FALSE, message=FALSE, eval=FALSE}

install.packages("effectsize", repos = "https://easystats.r-universe.dev/")

```

## Documentation

[![Documentation](https://img.shields.io/badge/documentation-effectsize-orange.svg?colorB=E91E63/)](https://easystats.github.io/effectsize/)

[![Blog](https://img.shields.io/badge/blog-easystats-orange.svg?colorB=FF9800/)](https://easystats.github.io/blog/posts/)

[![Features](https://img.shields.io/badge/features-effectsize-orange.svg?colorB=2196F3/)](https://easystats.github.io/effectsize/reference/index.html)

Click on the buttons above to access the package [**documentation**](https://easystats.github.io/effectsize/) and the [**easystats blog**](https://easystats.github.io/blog/posts/), and check-out these vignettes:

- **Effect Sizes**  

  - [**Standardized Differences**](https://easystats.github.io/effectsize/articles/standardized_differences.html)  

  - [**For Contingency Tables**](https://easystats.github.io/effectsize/articles/xtabs.html)  

  - [**ANOVA Effect Sizes**](https://easystats.github.io/effectsize/articles/anovaES.html)

- **Effect Sizes Conversion**    

  - [**Between Effect Sizes**](https://easystats.github.io/effectsize/articles/convert_r_d_OR.html)  

  - [**Between Probabilities and Odds and Risk Ratios**](https://easystats.github.io/effectsize/articles/convert_p_OR_RR.html)  

  - [**Effect Size from Test Statistics**](https://easystats.github.io/effectsize/articles/from_test_statistics.html)

- [**Plotting Functions for the 'effectsize' Package**](https://easystats.github.io/see/articles/effectsize.html)  

- [**Automated Interpretation of Indices of Effect Size**](https://easystats.github.io/effectsize/articles/interpret.html)

# Features

This package is focused on indices of effect size. Check out the package website for [**a full list of features and functions** provided by `effectsize`](https://easystats.github.io/effectsize/reference/index.html).

```{r load, message=FALSE, warning=FALSE}

library(effectsize)

options(es.use_symbols = TRUE) # get nice symbols when printing! (On Windows, requires R >= 4.2.0)

```

> **Tip:**

>

> **Instead of `library(effectsize)`, use `library(easystats)`.**

> **This will make all features of the  easystats-ecosystem available.**

>

> **To stay updated, use `easystats::install_latest()`.**

## Effect Size Computation

The package provides functions to compute indices of effect size.

### Standardized Differences (Cohen's *d*, Hedges' *g*, Glass' *delta*)

```{r d, warning=FALSE, message=FALSE}

cohens_d(mpg ~ am, data = mtcars)

hedges_g(mpg ~ am, data = mtcars)

glass_delta(mpg ~ am, data = mtcars)

```

`effectsize` also provides effect sizes for *paired standardized differences*, *rank tests*, *common language effect sizes* and more...

### Contingency Tables

```{r}

# Dependence

phi(mtcars$am, mtcars$vs)

cramers_v(mtcars$am, mtcars$cyl)

# Goodness-of-fit

fei(table(mtcars$cyl), p = c(0.1, 0.3, 0.6))

```

### ANOVAs (Eta², Omega², ...)

```{r aov, warning=FALSE, message=FALSE}

model <- aov(mpg ~ factor(gear), data = mtcars)

eta_squared(model)

omega_squared(model)

epsilon_squared(model)

```

And more...

## Effect Size Conversion

The package also provides ways of converting between different effect sizes.

```{r convert-between, warning=FALSE, message=FALSE}

d_to_r(d = 0.2)

oddsratio_to_riskratio(2.6, p0 = 0.4)

```

And for recovering effect sizes from test statistics.

```{r convert-stat, warning=FALSE, message=FALSE}

F_to_d(15, df = 1, df_error = 60)

F_to_r(15, df = 1, df_error = 60)

F_to_eta2(15, df = 1, df_error = 60)

```

## Effect Size Interpretation

The package allows for an automated interpretation of different indices. 

```{r interp-r, warning=FALSE, message=FALSE}

interpret_r(r = 0.3)

```

Different sets of "rules of thumb" are implemented ([**guidelines are detailed here**](https://easystats.github.io/effectsize/articles/interpret.html)) and can be easily changed.

```{r interp-d, warning=FALSE, message=FALSE}

interpret_cohens_d(d = 0.45, rules = "cohen1988")

interpret_cohens_d(d = 0.45, rules = "gignac2016")

```

### Citation

In order to cite this package, please use the following citation:

  * Ben-Shachar M, Lüdecke D, Makowski D (2020). effectsize: Estimation of Effect Size Indices and Standardized Parameters. _Journal of Open Source Software_, *5*(56), 2815. doi: 10.21105/joss.02815

  

Corresponding BibTeX entry:

```

@Article{,

  title = {{e}ffectsize: Estimation of Effect Size Indices and Standardized Parameters},

  author = {Mattan S. Ben-Shachar and Daniel Lüdecke and Dominique Makowski},

  year = {2020},

  journal = {Journal of Open Source Software},

  volume = {5},

  number = {56},

  pages = {2815},

  publisher = {The Open Journal},

  doi = {10.21105/joss.02815},

  url = {https://doi.org/10.21105/joss.02815}

}

```

# Contributing and Support

If you have any questions regarding the the functionality of the package, you may either contact us via email or also [file an issue](https://github.com/easystats/effectsize/issues/). Anyone wishing to contribute to the package by adding functions, features, or in another way, please follow [this guide](https://github.com/easystats/effectsize/blob/main/.github/CONTRIBUTING.md/) and our [code of conduct](https://github.com/easystats/effectsize/blob/main/.github/CODE_OF_CONDUCT.md/).