ggstatsplot (version 0.7.2)

grouped_gghistostats: Grouped histograms for distribution of a numeric variable

Description

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

Usage

grouped_gghistostats(
  data,
  x,
  grouping.var,
  binwidth = NULL,
  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.

x

A numeric variable from the dataframe data.

grouping.var

A single grouping variable (can be entered either as a bare name x or as a string "x").

binwidth

The width of the histogram bins. Can be specified as a numeric value, or a function that calculates width from x. The default is to use the max(x) - min(x) / sqrt(N). You should always check this value and explore multiple widths to find the best to illustrate the stories in your data.

output

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.

plotgrid.args

A list of additional arguments passed to patchwork::wrap_plots, except for guides argument which is already separately specified here.

annotation.args

A list of additional arguments passed to patchwork::plot_annotation.

...

Arguments passed on to gghistostats

normal.curve

A logical value that decides whether to super-impose a normal curve using stats::dnorm(mean(x), sd(x)). Default is FALSE.

normal.curve.args

A list of additional aesthetic arguments to be passed to the normal curve.

bar.fill

Character input that decides which color will uniformly fill all the bars in the histogram (Default: "grey50").

type

A character specifying the type of statistical approach. Four possible options:

• "parametric"

• "nonparametric"

• "robust"

• "bayes"

Corresponding abbreviations are also accepted: "p" (for parametric), "np" (for nonparametric), "r" (for robust), or "bf" (for Bayesian).

test.value

A number indicating the true value of the mean (Default: 0).

bf.prior

A number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors and posterior estimates.

effsize.type

Type of effect size needed for parametric tests. The argument can be "d" (for Cohen's d) or "g" (for Hedge's g).

conf.level

Confidence/Credible Interval (CI) level. Default to 0.95 (95%).

nboot

Number of bootstrap samples for computing confidence interval for the effect size (Default: 100).

tr

Trim 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.

k

Number of digits after decimal point (should be an integer) (Default: k = 2L).

centrality.line.args

A list of additional aesthetic arguments to be passed to the geom_line used to display the lines corresponding to the centrality parameter.

xlab

Labels for x and y axis variables. If NULL (default), variable names for x and y will be used.

subtitle

The text for the plot subtitle. Will work only if results.subtitle = FALSE.

caption

The text for the plot caption.

bf.message

Logical that decides whether to display Bayes Factor in favor of the null hypothesis. This argument is relevant only for parametric test (Default: TRUE).

ggtheme

A 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.layer

Logical 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.

results.subtitle

Decides 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.plotting

Logical 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.type

Decides 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.

ggplot.component

A 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.

References

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

See Also

gghistostats, ggdotplotstats, grouped_ggdotplotstats

Examples

# NOT RUN {
# for reproducibility
set.seed(123)
library(ggstatsplot)

# plot
grouped_gghistostats(
  data = iris,
  x = Sepal.Length,
  test.value = 5,
  grouping.var = Species,
  bar.fill = "orange",
  plotgrid.args = list(nrow = 1),
  annotation.args = list(tag_levels = "i"),
)
# }