bump to devel

Author: IndrajeetPatil

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: ggstatsplot
 Title: 'ggplot2' Based Plots with Statistical Details
-Version: 0.12.5
+Version: 0.12.5.9000
 Authors@R: 
     c(person(given = "Indrajeet",
              family = "Patil",

NEWS.md

@@ -1,10 +1,12 @@
-# ggstatsplot 0.12.5
+# ggstatsplot 0.12.5.9000
 
 N.B. All statistical analysis in `{ggstatsplot}` is carried out in
 `{statsExpressions}`. Thus, to see changes related to statistical expressions,
 read the `NEWS` for that package:
 <https://indrajeetpatil.github.io/statsExpressions/news/index.html>
 
+# ggstatsplot 0.12.5
+
 ## MAJOR CHANGES
 
 - `extract_stats()` returns a list of class `ggstatsplot_stats` which

R/ggcoefstats.R

@@ -7,6 +7,30 @@
 #' confidence interval whiskers and other statistical details included as
 #' labels.
 #'
+#'  Although the statistical models displayed in the plot may differ based on the
+#'  class of models being investigated, there are few aspects of the plot that will
+#'  be invariant across models:
+#'
+#'   - The dot-whisker plot contains a dot representing the **estimate** and their
+#'     **confidence intervals** (`95%` is the default). The estimate can either be
+#'     effect sizes (for tests that depend on the `F`-statistic) or regression
+#'     coefficients (for tests with `t`-, $\chi^{2}$-, and `z`-statistic), etc. The
+#'     function will, by default, display a helpful `x`-axis label that should
+#'     clear up what estimates are being displayed. The confidence intervals can
+#'     sometimes be asymmetric if bootstrapping was used.
+#'
+#'   - The label attached to dot will provide more details from the statistical
+#'     test carried out and it will typically contain estimate, statistic, and
+#'     *p*-value.
+#'
+#'   - The caption will contain diagnostic information, if available, about
+#'     models that can be useful for model selection: The smaller the Akaike's
+#'     Information Criterion (**AIC**) and the Bayesian Information Criterion
+#'     (**BIC**) values, the "better" the model is.
+#'
+#'   - The output of this function will be a `{ggplot2}` object and, thus,
+#'     it can be further modified (e.g. change themes) with `{ggplot2}`.
+#'
 #' @section Summary of graphics:
 #'
 #' ```{r child="man/rmd-fragments/ggcoefstats_graphics.Rmd"}

README.Rmd

@@ -643,34 +643,10 @@ For more, also read the following vignette:
 ### `ggcoefstats()`
 
 The function `ggcoefstats()` generates **dot-and-whisker plots** for
-regression models saved in a tidy data frame. The tidy data frames are prepared
+regression models. The tidy data frames are prepared
 using `parameters::model_parameters()`. Additionally, if available, the model
 summary indices are also extracted from `performance::model_performance()`.
 
-Although the statistical models displayed in the plot may differ based on the
-class of models being investigated, there are few aspects of the plot that will
-be invariant across models:
-
-  - The dot-whisker plot contains a dot representing the **estimate** and their
-    **confidence intervals** (`95%` is the default). The estimate can either be
-    effect sizes (for tests that depend on the `F`-statistic) or regression
-    coefficients (for tests with `t`-, $\chi^{2}$-, and `z`-statistic), etc. The
-    function will, by default, display a helpful `x`-axis label that should
-    clear up what estimates are being displayed. The confidence intervals can
-    sometimes be asymmetric if bootstrapping was used.
-    
-  - The label attached to dot will provide more details from the statistical
-    test carried out and it will typically contain estimate, statistic, and
-    *p*-value.e
-
-  - The caption will contain diagnostic information, if available, about
-    models that can be useful for model selection: The smaller the Akaike's
-    Information Criterion (**AIC**) and the Bayesian Information Criterion
-    (**BIC**) values, the "better" the model is.
-
-  - The output of this function will be a `{ggplot2}` object and, thus, it can be
-    further modified (e.g. change themes) with `{ggplot2}` functions.
-
 ```{r}
 #| label = "ggcoefstats1",
 #| fig.height = 5,

README.md

@@ -626,37 +626,11 @@ For more, also read the following vignette:
 ### `ggcoefstats()`
 
 The function `ggcoefstats()` generates **dot-and-whisker plots** for
-regression models saved in a tidy data frame. The tidy data frames are
-prepared using `parameters::model_parameters()`. Additionally, if
-available, the model summary indices are also extracted from
+regression models. The tidy data frames are prepared using
+`parameters::model_parameters()`. Additionally, if available, the model
+summary indices are also extracted from
 `performance::model_performance()`.
 
-Although the statistical models displayed in the plot may differ based
-on the class of models being investigated, there are few aspects of the
-plot that will be invariant across models:
-
-- The dot-whisker plot contains a dot representing the **estimate** and
-  their **confidence intervals** (`95%` is the default). The estimate
-  can either be effect sizes (for tests that depend on the
-  `F`-statistic) or regression coefficients (for tests with `t`-,
-  $`\chi^{2}`$-, and `z`-statistic), etc. The function will, by default,
-  display a helpful `x`-axis label that should clear up what estimates
-  are being displayed. The confidence intervals can sometimes be
-  asymmetric if bootstrapping was used.
-
-- The label attached to dot will provide more details from the
-  statistical test carried out and it will typically contain estimate,
-  statistic, and *p*-value.e
-
-- The caption will contain diagnostic information, if available, about
-  models that can be useful for model selection: The smaller the
-  Akaike’s Information Criterion (**AIC**) and the Bayesian Information
-  Criterion (**BIC**) values, the “better” the model is.
-
-- The output of this function will be a `{ggplot2}` object and, thus, it
-  can be further modified (e.g. change themes) with `{ggplot2}`
-  functions.
-
 ``` r
 set.seed(123)