Helper function for ggstatsplot::ggpiestats to apply this
function across multiple levels of a given factor and combining the
resulting plots using ggstatsplot::combine_plots.
grouped_ggpiestats(
data,
x,
y = NULL,
counts = NULL,
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)
)A dataframe (or a tibble) from which variables specified are to be taken. A matrix or tables will not be accepted.
The variable to use as the rows in the contingency table.
The variable to use as the columns in the contingency
table. Default is NULL. If NULL, one-sample proportion test (a goodness
of fit test) will be run for the x variable. Otherwise an appropriate
association test will be run. This argument can not be NULL for
ggbarstats function.
A string naming a variable in data containing counts, or NULL
if each row represents a single observation.
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 ggpiestats
proportion.testDecides whether proportion test for x variable is
to be carried out for each level of y (Default: TRUE).
perc.kNumeric that decides number of decimal places for percentage
labels (Default: 0).
labelCharacter decides what information needs to be displayed
on the label in each pie slice. Possible options are "percentage"
(default), "counts", "both".
label.argsAdditional aesthetic arguments that will be passed to
geom_label.
label.repelWhether labels should be repelled using ggrepel package.
This can be helpful in case the labels are overlapping.
legend.titleTitle text for the legend.
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.
conf.levelScalar between 0 and 1. If unspecified, the defaults return
95% confidence/credible intervals (0.95).
kNumber of digits after decimal point (should be an integer)
(Default: k = 2L).
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).
subtitleThe text for the plot subtitle. Will work only if
results.subtitle = FALSE.
captionThe text for the plot caption.
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.
packageName of the package from which the given palette is to
be extracted. The available palettes and packages can be checked by running
View(paletteer::palettes_d_names).
paletteName of the package from which the given palette is to
be extracted. The available palettes and packages can be checked by running
View(paletteer::palettes_d_names).
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.
ratioA vector of proportions: the expected proportions for the
proportion test (should sum to 1). Default is NULL, which means the null
is equal theoretical proportions across the levels of the nominal variable.
This means if there are two levels this will be ratio = c(0.5,0.5) or if
there are four levels this will be ratio = c(0.25,0.25,0.25,0.25), etc.
sampling.planCharacter describing the sampling plan. Possible options
are "indepMulti" (independent multinomial; default), "poisson",
"jointMulti" (joint multinomial), "hypergeom" (hypergeometric). For
more, see ?BayesFactor::contingencyTableBF().
fixed.marginFor the independent multinomial sampling plan, which
margin is fixed ("rows" or "cols"). Defaults to "rows".
prior.concentrationSpecifies the prior concentration parameter, set
to 1 by default. It indexes the expected deviation from the null
hypothesis under the alternative, and corresponds to Gunel and Dickey's
(1974) "a" parameter.
pairedLogical indicating whether data came from a within-subjects or
repeated measures design study (Default: FALSE). If TRUE, McNemar's
test subtitle will be returned. If FALSE, Pearson's chi-square test will
be returned.
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.
https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggpiestats.html
# NOT RUN {
# grouped one-sample proportion test
# let's skip statistical analysis
ggstatsplot::grouped_ggpiestats(
data = mtcars,
grouping.var = am,
x = cyl,
results.subtitle = FALSE
)
# }
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