this function now lives in datawizard

IndrajeetPatil · May 15, 2022 · 4c0c3f3 · 4c0c3f3
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diff --git 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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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**