From 4c0c3f33e20570cce38a354aef657cfb2a997a3f Mon Sep 17 00:00:00 2001 From: Indrajeet Patil Date: Sun, 15 May 2022 11:11:42 +0200 Subject: [PATCH] this function now lives in datawizard --- README.Rmd | 40 +++++++++++++-------------- README.md | 40 +++++++++++++-------------- vignettes/web_only/ggbetweenstats.Rmd | 8 +++--- vignettes/web_only/ggdotplotstats.Rmd | 8 +++--- vignettes/web_only/gghistostats.Rmd | 8 +++--- vignettes/web_only/ggwithinstats.Rmd | 8 +++--- 6 files changed, 56 insertions(+), 56 deletions(-) diff --git a/README.Rmd b/README.Rmd index 891d816fe..8ecd3e176 100644 --- a/README.Rmd +++ b/README.Rmd @@ -236,10 +236,10 @@ pairwise comparisons | `ggsignif::geom_signif` | `ggsignif.args` Type | Measure | Function used ----------- | --------- | ------------------ -Parametric | mean | `parameters::describe_distribution` -Non-parametric | median | `parameters::describe_distribution` -Robust | trimmed mean | `parameters::describe_distribution` -Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` +Parametric | mean | `datawizard::describe_distribution` +Non-parametric | median | `datawizard::describe_distribution` +Robust | trimmed mean | `datawizard::describe_distribution` +Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` **Hypothesis testing** @@ -317,10 +317,10 @@ The central tendency measure displayed will depend on the statistics: Type | Measure | Function used ----------- | --------- | ------------------ -Parametric | mean | `parameters::describe_distribution` -Non-parametric | median | `parameters::describe_distribution` -Robust | trimmed mean | `parameters::describe_distribution` -Bayesian | MAP estimate | `parameters::describe_distribution` +Parametric | mean | `datawizard::describe_distribution` +Non-parametric | median | `datawizard::describe_distribution` +Robust | trimmed mean | `datawizard::describe_distribution` +Bayesian | MAP estimate | `datawizard::describe_distribution` As with the `ggbetweenstats`, this function also has a `grouped_` variant that makes repeating the same analysis across a single grouping variable quicker. We @@ -363,10 +363,10 @@ pairwise comparisons | `ggsignif::geom_signif` | `ggsignif.args` Type | Measure | Function used ----------- | --------- | ------------------ -Parametric | mean | `parameters::describe_distribution` -Non-parametric | median | `parameters::describe_distribution` -Robust | trimmed mean | `parameters::describe_distribution` -Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` +Parametric | mean | `datawizard::describe_distribution` +Non-parametric | median | `datawizard::describe_distribution` +Robust | trimmed mean | `datawizard::describe_distribution` +Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` **Hypothesis testing** @@ -471,10 +471,10 @@ normality curve | `ggplot2::stat_function` | `normal.curve.args` Type | Measure | Function used ----------- | --------- | ------------------ -Parametric | mean | `parameters::describe_distribution` -Non-parametric | median | `parameters::describe_distribution` -Robust | trimmed mean | `parameters::describe_distribution` -Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` +Parametric | mean | `datawizard::describe_distribution` +Non-parametric | median | `datawizard::describe_distribution` +Robust | trimmed mean | `datawizard::describe_distribution` +Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` **Hypothesis testing** @@ -559,10 +559,10 @@ centrality measure line | `ggplot2::geom_vline` | `centrality.line.args` Type | Measure | Function used ----------- | --------- | ------------------ -Parametric | mean | `parameters::describe_distribution` -Non-parametric | median | `parameters::describe_distribution` -Robust | trimmed mean | `parameters::describe_distribution` -Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` +Parametric | mean | `datawizard::describe_distribution` +Non-parametric | median | `datawizard::describe_distribution` +Robust | trimmed mean | `datawizard::describe_distribution` +Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` **Hypothesis testing** diff --git a/README.md b/README.md index a2fb7411b..282a96727 100644 --- a/README.md +++ b/README.md @@ -234,10 +234,10 @@ Note here that the function can be used to tag outliers! | Type | Measure | Function used | |----------------|---------------------------------------------------|-------------------------------------| -| Parametric | mean | `parameters::describe_distribution` | -| Non-parametric | median | `parameters::describe_distribution` | -| Robust | trimmed mean | `parameters::describe_distribution` | -| Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` | +| Parametric | mean | `datawizard::describe_distribution` | +| Non-parametric | median | `datawizard::describe_distribution` | +| Robust | trimmed mean | `datawizard::describe_distribution` | +| Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` | **Hypothesis testing** @@ -313,10 +313,10 @@ The central tendency measure displayed will depend on the statistics: | Type | Measure | Function used | |----------------|--------------|-------------------------------------| -| Parametric | mean | `parameters::describe_distribution` | -| Non-parametric | median | `parameters::describe_distribution` | -| Robust | trimmed mean | `parameters::describe_distribution` | -| Bayesian | MAP estimate | `parameters::describe_distribution` | +| Parametric | mean | `datawizard::describe_distribution` | +| Non-parametric | median | `datawizard::describe_distribution` | +| Robust | trimmed mean | `datawizard::describe_distribution` | +| Bayesian | MAP estimate | `datawizard::describe_distribution` | As with the `ggbetweenstats`, this function also has a `grouped_` variant that makes repeating the same analysis across a single grouping @@ -362,10 +362,10 @@ grouped_ggwithinstats( | Type | Measure | Function used | |----------------|---------------------------------------------------|-------------------------------------| -| Parametric | mean | `parameters::describe_distribution` | -| Non-parametric | median | `parameters::describe_distribution` | -| Robust | trimmed mean | `parameters::describe_distribution` | -| Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` | +| Parametric | mean | `datawizard::describe_distribution` | +| Non-parametric | median | `datawizard::describe_distribution` | +| Robust | trimmed mean | `datawizard::describe_distribution` | +| Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` | **Hypothesis testing** @@ -471,10 +471,10 @@ grouped_gghistostats( | Type | Measure | Function used | |----------------|---------------------------------------------------|-------------------------------------| -| Parametric | mean | `parameters::describe_distribution` | -| Non-parametric | median | `parameters::describe_distribution` | -| Robust | trimmed mean | `parameters::describe_distribution` | -| Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` | +| Parametric | mean | `datawizard::describe_distribution` | +| Non-parametric | median | `datawizard::describe_distribution` | +| Robust | trimmed mean | `datawizard::describe_distribution` | +| Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` | **Hypothesis testing** @@ -561,10 +561,10 @@ grouped_ggdotplotstats( | Type | Measure | Function used | |----------------|---------------------------------------------------|-------------------------------------| -| Parametric | mean | `parameters::describe_distribution` | -| Non-parametric | median | `parameters::describe_distribution` | -| Robust | trimmed mean | `parameters::describe_distribution` | -| Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` | +| Parametric | mean | `datawizard::describe_distribution` | +| Non-parametric | median | `datawizard::describe_distribution` | +| Robust | trimmed mean | `datawizard::describe_distribution` | +| Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` | **Hypothesis testing** diff --git a/vignettes/web_only/ggbetweenstats.Rmd b/vignettes/web_only/ggbetweenstats.Rmd index cc739ca3c..670db4377 100644 --- a/vignettes/web_only/ggbetweenstats.Rmd +++ b/vignettes/web_only/ggbetweenstats.Rmd @@ -356,10 +356,10 @@ pairwise comparisons | `ggsignif::geom_signif` | `ggsignif.args` Type | Measure | Function used ----------- | --------- | ------------------ -Parametric | mean | `parameters::describe_distribution` -Non-parametric | median | `parameters::describe_distribution` -Robust | trimmed mean | `parameters::describe_distribution` -Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` +Parametric | mean | `datawizard::describe_distribution` +Non-parametric | median | `datawizard::describe_distribution` +Robust | trimmed mean | `datawizard::describe_distribution` +Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` **Hypothesis testing** diff --git a/vignettes/web_only/ggdotplotstats.Rmd b/vignettes/web_only/ggdotplotstats.Rmd index 84a5a3f26..e08a97519 100644 --- a/vignettes/web_only/ggdotplotstats.Rmd +++ b/vignettes/web_only/ggdotplotstats.Rmd @@ -157,10 +157,10 @@ See the associated vignette here: Type | Measure | Function used ----------- | --------- | ------------------ -Parametric | mean | `parameters::describe_distribution` -Non-parametric | median | `parameters::describe_distribution` -Robust | trimmed mean | `parameters::describe_distribution` -Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` +Parametric | mean | `datawizard::describe_distribution` +Non-parametric | median | `datawizard::describe_distribution` +Robust | trimmed mean | `datawizard::describe_distribution` +Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` **Hypothesis testing** diff --git a/vignettes/web_only/gghistostats.Rmd b/vignettes/web_only/gghistostats.Rmd index d56c2ecaa..d6a71827c 100644 --- a/vignettes/web_only/gghistostats.Rmd +++ b/vignettes/web_only/gghistostats.Rmd @@ -169,10 +169,10 @@ normality curve | `ggplot2::stat_function` | `normal.curve.args` Type | Measure | Function used ----------- | --------- | ------------------ -Parametric | mean | `parameters::describe_distribution` -Non-parametric | median | `parameters::describe_distribution` -Robust | trimmed mean | `parameters::describe_distribution` -Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` +Parametric | mean | `datawizard::describe_distribution` +Non-parametric | median | `datawizard::describe_distribution` +Robust | trimmed mean | `datawizard::describe_distribution` +Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` **Hypothesis testing** diff --git a/vignettes/web_only/ggwithinstats.Rmd b/vignettes/web_only/ggwithinstats.Rmd index fa5b0325f..8f0cd323b 100644 --- a/vignettes/web_only/ggwithinstats.Rmd +++ b/vignettes/web_only/ggwithinstats.Rmd @@ -332,10 +332,10 @@ pairwise comparisons | `ggsignif::geom_signif` | `ggsignif.args` Type | Measure | Function used ----------- | --------- | ------------------ -Parametric | mean | `parameters::describe_distribution` -Non-parametric | median | `parameters::describe_distribution` -Robust | trimmed mean | `parameters::describe_distribution` -Bayesian | MAP (maximum *a posteriori* probability) estimate | `parameters::describe_distribution` +Parametric | mean | `datawizard::describe_distribution` +Non-parametric | median | `datawizard::describe_distribution` +Robust | trimmed mean | `datawizard::describe_distribution` +Bayesian | MAP (maximum *a posteriori* probability) estimate | `datawizard::describe_distribution` **Hypothesis testing**