Helper function for ggstatsplot::ggdotplotstats to apply this function across multiple levels of a given factor and combining the resulting plots using ggstatsplot::combine_plots.

grouped_ggdotplotstats(
data,
x,
y,
grouping.var,
title.prefix = NULL,
output = "plot",
...,
plotgrid.args = list(),
title.text = NULL,
title.args = list(size = 16, fontface = "bold"),
caption.text = NULL,
caption.args = list(size = 10),
sub.text = NULL,
sub.args = list(size = 12)
)

## Arguments

data A dataframe (or a tibble) from which variables specified are to be taken. A matrix or tables will not be accepted. A numeric variable from the dataframe data. Label or grouping variable. A single grouping variable (can be entered either as a bare name x or as a string "x"). Character string specifying the prefix text for the fixed plot title (name of each factor level) (Default: NULL). If NULL, the variable name entered for grouping.var will be used. Character that describes what is to be returned: can be "plot" (default) or "subtitle" or "caption". Setting this to "subtitle" will return the expression containing statistical results. If you have set results.subtitle = FALSE, then this will return a NULL. Setting this to "caption" will return the expression containing details about Bayes Factor analysis, but valid only when type = "parametric" and bf.message = TRUE, otherwise this will return a NULL. For functions ggpiestats and ggbarstats, setting output = "proptest" will return a dataframe containing results from proportion tests. Arguments passed on to ggdotplotstats point.argsA list of additional aesthetic arguments passed to geom_point. test.valueA number specifying the value of the null hypothesis (Default: 0). test.kInteger denoting the number of decimal places expected for test.value label. (Default: 0 ). test.value.lineLogical that decides whether a line corresponding to the test.value should be superimposed on the plot. test.value.line.argsA list of additional aesthetic arguments to be passed to the geom_line used to display the lines corresponding to the centrality parameter and test value. test.value.label.argsA list of additional aesthetic arguments to be passed to the geom_label used to display the label corresponding to the centrality parameter and test value. centrality.parameterDecides which measure of central tendency ("mean" or "median") is to be displayed as a vertical line. To not show any parameter, set this to "none". centrality.kInteger denoting the number of decimal places expected for centrality parameter label. (Default: 2). centrality.line.argsA list of additional aesthetic arguments to be passed to the geom_line used to display the lines corresponding to the centrality parameter and test value. centrality.label.argsA list of additional aesthetic arguments to be passed to the geom_label used to display the label corresponding to the centrality parameter and test value. xlabLabels for x and y axis variables. If NULL (default), variable names for x and y will be used. subtitleThe text for the plot subtitle. Will work only if results.subtitle = FALSE. captionThe text for the plot caption. typeType of statistic expected ("parametric" or "nonparametric" or "robust" or "bayes").Corresponding abbreviations are also accepted: "p" (for parametric), "np" (nonparametric), "r" (robust), or "bf"resp. bf.priorA number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors. bf.messageLogical that decides whether to display Bayes Factor in favor of the null hypothesis. This argument is relevant only for parametric test (Default: TRUE). effsize.typeType of effect size needed for parametric tests. The argument can be "d" (for Cohen's d) or "g" (for Hedge's g). conf.levelScalar between 0 and 1. If unspecified, the defaults return 95% lower and upper confidence intervals (0.95). nbootNumber of bootstrap samples for computing confidence interval for the effect size (Default: 100). kNumber of digits after decimal point (should be an integer) (Default: k = 2). results.subtitleDecides whether the results of statistical tests are to be displayed as a subtitle (Default: TRUE). If set to FALSE, only the plot will be returned. ggplot.componentA ggplot component to be added to the plot prepared by ggstatsplot. This argument is primarily helpful for grouped_ variant of the current function. Default is NULL. The argument should be entered as a function. ggthemeA function, ggplot2 theme name. Default value is ggplot2::theme_bw(). Any of the ggplot2 themes, or themes from extension packages are allowed (e.g., ggthemes::theme_fivethirtyeight(), hrbrthemes::theme_ipsum_ps(), etc.). ggstatsplot.layerLogical that decides whether theme_ggstatsplot theme elements are to be displayed along with the selected ggtheme (Default: TRUE). theme_ggstatsplot is an opinionated theme layer that override some aspects of the selected ggtheme. ylabLabels for x- and y- axis variables, respectively (Defaults: "regression coefficient" and "term"). A list of additional arguments to cowplot::plot_grid. String or plotmath expression to be drawn as title for the combined plot. A list of additional arguments provided to title, caption and sub, resp. String or plotmath expression to be drawn as the caption for the combined plot. A list of additional arguments provided to title, caption and sub, resp. The label with which the combined plot should be annotated. Can be a plotmath expression. A list of additional arguments provided to title, caption and sub, resp.

## References

https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggdotplotstats.html

grouped_gghistostats, ggdotplotstats, gghistostats

## Examples

# \donttest{
# for reproducibility
set.seed(123)

# removing factor level with very few no. of observations
df <- dplyr::filter(.data = ggplot2::mpg, cyl %in% c("4", "6", "8"))

# plot
ggstatsplot::grouped_ggdotplotstats(
data = df,
x = "cty",
y = "manufacturer",
grouping.var = "cyl",
test.value = 15.5,
title.prefix = "cylinder count",
ggplot.component = ggplot2::scale_x_continuous(
sec.axis = ggplot2::dup_axis(),
limits = c(12, 24),
breaks = seq(12, 24, 2)
),
messages = FALSE
)#> Scale for 'x' is already present. Adding another scale for 'x', which will
#> replace the existing scale.#> Scale for 'x' is already present. Adding another scale for 'x', which will
#> replace the existing scale.#> Scale for 'x' is already present. Adding another scale for 'x', which will
#> replace the existing scale.# }