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,
...,
grouping.var,
output = "plot",
plotgrid.args = list(),
annotation.args = list()
)

## Arguments

data A dataframe (or a tibble) from which variables specified are to be taken. Other data types (e.g., matrix,table, array, etc.) will not be accepted. Arguments passed on to ggdotplotstats yLabel or grouping variable. point.argsA list of additional aesthetic arguments passed to geom_point. xA numeric variable from the dataframe data. 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. typeA character specifying the type of statistical approach: "parametric" "nonparametric" "robust" "bayes" You can specify just the initial letter. test.valueA number indicating the true value of the mean (Default: 0). bf.priorA number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors and posterior estimates. In addition to numeric arguments, several named values are also recognized: "medium", "wide", and "ultrawide", corresponding to r scale values of 1/2, sqrt(2)/2, and 1, respectively. In case of an ANOVA, this value corresponds to scale for fixed effects. 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% confidence/credible intervals (0.95). trTrim level for the mean when carrying out robust tests. In case of an error, try reducing the value of tr, which is by default set to 0.2. Lowering the value might help. kNumber of digits after decimal point (should be an integer) (Default: k = 2L). 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. centrality.plottingLogical that decides whether centrality tendency measure is to be displayed as a point with a label (Default: TRUE). Function decides which central tendency measure to show depending on the type argument. mean for parametric statistics median for non-parametric statistics trimmed mean for robust statistics MAP estimator for Bayesian statistics If you want default centrality parameter, you can specify this using centrality.type argument. centrality.typeDecides which centrality parameter is to be displayed. The default is to choose the same as type argument. You can specify this to be: "parameteric" (for mean) "nonparametric" (for median) robust (for trimmed mean) bayes (for MAP estimator) Just as type argument, abbreviations are also accepted. 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. ggplot.componentA ggplot component to be added to the plot prepared by ggstatsplot. This argument is primarily helpful for grouped_ variants of all primary functions. Default is NULL. The argument should be entered as a ggplot2 function or a list of ggplot2 functions. ggthemeA ggplot2 theme. Default value is ggstatsplot::theme_ggstatsplot(). Any of the ggplot2 themes (e.g., ggplot2::theme_bw()), or themes from extension packages are allowed (e.g., ggthemes::theme_fivethirtyeight(), hrbrthemes::theme_ipsum_ps(), etc.). ylabLabels for x and y axis variables. If NULL (default), variable names for x and y will be used. A single grouping variable. 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. A list of additional arguments passed to patchwork::wrap_plots, except for guides argument which is already separately specified here. A list of additional arguments passed to patchwork::plot_annotation.

## Details

grouped_gghistostats, ggdotplotstats, gghistostats

## Examples

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

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

# plot
grouped_ggdotplotstats(
data = df,
x = cty,
y = manufacturer,
grouping.var = cyl,
test.value = 15.5
)

# }