diff --git a/README.md b/README.md index ff216e9..baaba84 100644 --- a/README.md +++ b/README.md @@ -1,15 +1,18 @@ + ## Warning: le package 'jtools' a été compilé avec la version R 4.3.3 + # interactions interactions + + [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version-ago/interactions)](https://cran.r-project.org/package=interactions) [![GitHub tag](https://img.shields.io/github/tag/jacob-long/interactions.svg?label=Github)](https://github.com/jacob-long/interactions) [![Total Downloads](https://cranlogs.r-pkg.org/badges/grand-total/interactions)](https://cran.r-project.org/package=interactions) -[![Build -Status](https://github.com/jacob-long/interactions/workflows/R-CMD-check/badge.svg)](https://github.com/jacob-long/interactions/actions) +[![R-CMD-check](https://github.com/jacob-long/interactions/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/jacob-long/interactions/actions/workflows/R-CMD-check.yaml) [![AppVeyor Build status](https://ci.appveyor.com/api/projects/status/qfyn5cwomufqxath?svg=true)](https://ci.appveyor.com/project/jacob-long/interactions) [![codecov](https://codecov.io/gh/jacob-long/interactions/branch/master/graph/badge.svg)](https://codecov.io/gh/jacob-long/interactions) @@ -18,6 +21,7 @@ state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) [![MIT License](https://img.shields.io/badge/license-MIT-blue.svg?style=flat)](https://opensource.org/licenses/MIT) + This package consists of a number of tools for the analysis and interpretation of statistical interactions in regression models. Some of @@ -27,9 +31,9 @@ when done “by hand.” Quick rundown of features: -- simple slopes analysis -- calculation of Johnson-Neyman intervals -- visualization of predicted and observed values using `ggplot2` +- simple slopes analysis +- calculation of Johnson-Neyman intervals +- visualization of predicted and observed values using `ggplot2` All of these are implemented in a consistent interface designed to be as simple as possible with tweaks and guts available to advanced users. @@ -80,7 +84,7 @@ fiti <- lm(mpg ~ hp * wt, data = mtcars) sim_slopes(fiti, pred = hp, modx = wt, jnplot = TRUE) ``` - #> JOHNSON-NEYMAN INTERVAL + #> JOHNSON-NEYMAN INTERVAL #> #> When wt is OUTSIDE the interval [3.69, 5.90], the slope of hp is p < .05. #> @@ -88,7 +92,7 @@ sim_slopes(fiti, pred = hp, modx = wt, jnplot = TRUE) ![](man/figures/j-n-plot-1.png) - #> SIMPLE SLOPES ANALYSIS + #> SIMPLE SLOPES ANALYSIS #> #> Slope of hp when wt = 2.238793 (- 1 SD): #>