ggstatsplot (version 0.8.0)

grouped_ggscatterstats: Scatterplot with marginal distributions for all levels of a grouping variable

Description

Grouped scatterplots from ggplot2 combined with marginal distribution plots with statistical details added as a subtitle.

Usage

grouped_ggscatterstats(
  data,
  x,
  y,
  grouping.var,
  label.var = NULL,
  label.expression = 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

The column in data containing the explanatory variable to be plotted on the x-axis.

y

The column in data containing the response (outcome) variable to be plotted on the y-axis.

grouping.var

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

label.var

Variable to use for points labels. Can be entered either as a bare expression (e.g, var1) or as a string (e.g., "var1").

label.expression

An expression evaluating to a logical vector that determines the subset of data points to label. This argument can be entered either as a bare expression (e.g., y < 4 & z < 20) or as a string (e.g., "y < 4 & z < 20").

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 ggscatterstats

point.label.args

A list of additional aesthetic arguments to be passed to ggrepel::geom_label_repel geom used to display the labels.

smooth.line.args

A list of additional aesthetic arguments to be passed to ggplot2::geom_smooth geom used to display the regression line.

point.args

A list of additional aesthetic arguments to be passed to ggplot2::geom_point geom used to display the raw data points.

marginal

Decides whether marginal distributions will be plotted on axes using ggExtra::ggMarginal(). The default is TRUE. The package ggExtra must already be installed by the user.

point.width.jitter

Degree of jitter in x and y direction, respectively. Defaults to 0 (0%) of the resolution of the data. Note that the jitter should not be specified in the point.args because this information will be passed to two different geoms: one displaying the points and the other displaying the *labels for these points.

point.height.jitter

Degree of jitter in x and y direction, respectively. Defaults to 0 (0%) of the resolution of the data. Note that the jitter should not be specified in the point.args because this information will be passed to two different geoms: one displaying the points and the other displaying the *labels for these points.

marginal.type

Type of marginal distribution to be plotted on the axes ("histogram", "boxplot", "density", "violin", "densigram").

marginal.size

Integer describing the relative size of the marginal plots compared to the main plot. A size of 5 means that the main plot is 5x wider and 5x taller than the marginal plots.

xfill

Character describing color fill for x and y axes marginal distributions (default: "#009E73" (for x) and "#D55E00" (for y)). Note that the defaults are colorblind-friendly.

yfill

Character describing color fill for x and y axes marginal distributions (default: "#009E73" (for x) and "#D55E00" (for y)). Note that the defaults are colorblind-friendly.

type

A character specifying the type of statistical approach:

• "parametric"

• "nonparametric"

• "robust"

• "bayes"

You can specify just the initial letter.

conf.level

Scalar between 0 and 1. If unspecified, the defaults return 95% confidence/credible intervals (0.95).

bf.prior

A 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.

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).

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).

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.

xlab

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

ylab

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.

ggtheme

A 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.).

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.

Details

For more details, see: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggscatterstats.html

See Also

ggscatterstats, ggcorrmat, grouped_ggcorrmat

Examples

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

# skipping marginal distributions so that the examples run fast

# basic function call
grouped_ggscatterstats(
  data = dplyr::filter(movies_long, genre == "Comedy" | genre == "Drama"),
  x = length,
  y = rating,
  type = "robust",
  grouping.var = genre,
  marginal = FALSE,
  ggplot.component = list(ggplot2::geom_rug(sides = "b"))
)

# using labeling
# (also show how to modify basic plot from within function call)
grouped_ggscatterstats(
  data = dplyr::filter(ggplot2::mpg, cyl != 5),
  x = displ,
  y = hwy,
  grouping.var = cyl,
  type = "robust",
  marginal = FALSE,
  label.var = manufacturer,
  label.expression = hwy > 25 & displ > 2.5,
  ggplot.component = ggplot2::scale_y_continuous(sec.axis = ggplot2::dup_axis())
)

# labeling without expression

grouped_ggscatterstats(
  data = dplyr::filter(
    movies_long,
    rating == 7,
    genre %in% c("Drama", "Comedy")
  ),
  x = budget,
  y = length,
  grouping.var = genre,
  bf.message = FALSE,
  label.var = "title",
  marginal = FALSE,
  annotation.args = list(tag_levels = "a")
)
# }