diff --git a/README.Rmd b/README.Rmd index 6471754..ee30d0c 100755 --- a/README.Rmd +++ b/README.Rmd @@ -15,8 +15,7 @@ based on the ART procedure as used in the original implementation of The package automates the Aligning-and-Ranking process using the `art` function. It also automates the process of running a series of ANOVAs on the transformed data and extracting the results of interest. It supports traditional ANOVA -models (fit using `lm`), repeated measures ANOVAs (fit using `aov`, __currently -only supported in the dev version__), and +models (fit using `lm`), repeated measures ANOVAs (fit using `aov`), and mixed effects models (fit using `lmer`); the model used is determined by the formula passed to `art`. @@ -42,11 +41,6 @@ install.packages("devtools") devtools::install_github("mjskay/ARTool") ``` -__Note:__ _If you plan to use repeated measures ANOVAs (the `Error()` syntax) instead of -mixed effects (the `(...|...)` syntax), you must install the development version -from GitHub, as the current release of ARTool on CRAN does not support the `Error()` -syntax._ - ## Example The general approach to using ART is to transform your data using `art` , verify @@ -127,10 +121,6 @@ m <- art(DryMatter ~ Moisture*Fertilizer + Error(Tray), data=Higgins1990Table5) anova(m) ``` -__Note:__ _If you plan to use repeated measures ANOVAs instead of mixed effects, -you must install the development version from GitHub, as the current release -of ARTool on CRAN does not support the `Error()` syntax. See [Installation](#installation)_ - ## Contrast tests For an example of how to run contrast tests on an `art` model, see this vignette: diff --git a/README.md b/README.md index 7031409..adfcb6c 100755 --- a/README.md +++ b/README.md @@ -15,8 +15,7 @@ based on the ART procedure as used in the original implementation of The package automates the Aligning-and-Ranking process using the `art` function. It also automates the process of running a series of ANOVAs on the transformed data and extracting the results of interest. It supports traditional ANOVA -models (fit using `lm`), repeated measures ANOVAs (fit using `aov`, __currently -only supported in the dev version__), and +models (fit using `lm`), repeated measures ANOVAs (fit using `aov`), and mixed effects models (fit using `lmer`); the model used is determined by the formula passed to `art`. @@ -44,11 +43,6 @@ install.packages("devtools") devtools::install_github("mjskay/ARTool") ``` -__Note:__ _If you plan to use repeated measures ANOVAs (the `Error()` syntax) instead of -mixed effects (the `(...|...)` syntax), you must install the development version -from GitHub, as the current release of ARTool on CRAN does not support the `Error()` -syntax._ - ## Example The general approach to using ART is to transform your data using `art` , verify @@ -204,10 +198,6 @@ anova(m) ## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ``` -__Note:__ _If you plan to use repeated measures ANOVAs instead of mixed effects, -you must install the development version from GitHub, as the current release -of ARTool on CRAN does not support the `Error()` syntax. See [Installation](#installation)_ - ## Contrast tests For an example of how to run contrast tests on an `art` model, see this vignette: @@ -229,7 +219,7 @@ reproduce the issue. ## Citations Kay M and Wobbrock J (2014). _ARTool: Aligned Rank Transform for -Nonparametric Factorial ANOVAs_. R package version 0.9.5, . +Nonparametric Factorial ANOVAs_. R package version 0.10.0, . Wobbrock J, Findlater L, Gergle D and Higgins J (2011). "The Aligned Rank Transform for Nonparametric Factorial Analyses Using Only ANOVA