Scatterplots from ggplot2 combined with marginal histograms/boxplots/density plots with statistical details added as a subtitle.

ggscatterstats(
data,
x,
y,
type = "parametric",
conf.level = 0.95,
bf.prior = 0.707,
bf.message = TRUE,
tr = 0.2,
k = 2L,
results.subtitle = TRUE,
label.var = NULL,
label.expression = NULL,
point.args = list(size = 3, alpha = 0.4),
point.width.jitter = 0,
point.height.jitter = 0,
point.label.args = list(size = 3, max.overlaps = 1e+06),
smooth.line.args = list(size = 1.5, color = "blue"),
marginal = TRUE,
marginal.type = "densigram",
marginal.size = 5,
xfill = "#009E73",
yfill = "#D55E00",
xlab = NULL,
ylab = NULL,
title = NULL,
subtitle = NULL,
caption = NULL,
ggtheme = ggplot2::theme_bw(),
ggstatsplot.layer = TRUE,
ggplot.component = NULL,
output = "plot",
...
)

## 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. The column in data containing the explanatory variable to be plotted on the x-axis. Can be entered either as a character string (e.g., "x") or as a bare expression (e.g, x). The column in data containing the response (outcome) variable to be plotted on the y-axis. Can be entered either as a character string (e.g., "y") or as a bare expression (e.g, y). 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). Scalar between 0 and 1. If unspecified, the defaults return 95% confidence/credible intervals (0.95). A number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors and posterior estimates. Logical that decides whether to display Bayes Factor in favor of the null hypothesis. This argument is relevant only for parametric test (Default: TRUE). 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. Number of digits after decimal point (should be an integer) (Default: k = 2L). 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. Variable to use for points labels. Can be entered either as a bare expression (e.g, var1) or as a string (e.g., "var1"). 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"). A list of additional aesthetic arguments to be passed to ggplot2::geom_point geom used to display the raw data points. 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. A list of additional aesthetic arguments to be passed to ggrepel::geom_label_repel geom used to display the labels. A list of additional aesthetic arguments to be passed to ggplot2::geom_smooth geom used to display the regression line. 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. Type of marginal distribution to be plotted on the axes ("histogram", "boxplot", "density", "violin", "densigram"). 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. 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. Labels for x and y axis variables. If NULL (default), variable names for x and y will be used. Labels for x and y axis variables. If NULL (default), variable names for x and y will be used. The text for the plot title. The text for the plot subtitle. Will work only if results.subtitle = FALSE. The text for the plot caption. 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.). 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. 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. 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. Currently ignored.

## Note

• If you set marginal = TRUE, the resulting plot can not be further modified with ggplot2 functions since it is no longer a ggplot object. In case you want a ggplot object, set marginal = FALSE. Also have a look at the ggplot.component argument.

• The plot uses ggrepel::geom_label_repel to attempt to keep labels from over-lapping to the largest degree possible. As a consequence plot times will slow down massively (and the plot file will grow in size) if you have a lot of labels that overlap.

## References

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

grouped_ggscatterstats, ggcorrmat, grouped_ggcorrmat

## Examples

# to get reproducible results from bootstrapping
set.seed(123)
library(ggstatsplot)

# creating dataframe with rownames converted to a new column
mtcars_new <- as_tibble(mtcars, rownames = "car")

# simple function call with the defaults
if (require("ggExtra")) {
ggscatterstats(
data = mtcars_new,
x = wt,
y = mpg,
label.var = car,
label.expression = wt < 4 & mpg < 20,
# making further customization with ggplot2 functions
ggplot.component = list(ggplot2::geom_rug(sides = "b"))
)
}
#> Loading required package: ggExtra