A combination of box and violin plots along with jittered data points for between-subjects designs with statistical details included in the plot as a subtitle.

## Usage

```
ggbetweenstats(
data,
x,
y,
plot.type = "boxviolin",
type = "parametric",
pairwise.comparisons = TRUE,
pairwise.display = "significant",
p.adjust.method = "holm",
effsize.type = "unbiased",
bf.prior = 0.707,
bf.message = TRUE,
results.subtitle = TRUE,
xlab = NULL,
ylab = NULL,
caption = NULL,
title = NULL,
subtitle = NULL,
k = 2L,
var.equal = FALSE,
conf.level = 0.95,
nboot = 100L,
tr = 0.2,
centrality.plotting = TRUE,
centrality.type = type,
centrality.point.args = list(size = 5, color = "darkred"),
centrality.label.args = list(size = 3, nudge_x = 0.4, segment.linetype = 4,
min.segment.length = 0),
outlier.tagging = FALSE,
outlier.label = NULL,
outlier.coef = 1.5,
outlier.shape = 19,
outlier.color = "black",
outlier.label.args = list(size = 3),
point.args = list(position = ggplot2::position_jitterdodge(dodge.width = 0.6), alpha =
0.4, size = 3, stroke = 0),
violin.args = list(width = 0.5, alpha = 0.2),
ggsignif.args = list(textsize = 3, tip_length = 0.01),
ggtheme = ggstatsplot::theme_ggstatsplot(),
package = "RColorBrewer",
palette = "Dark2",
ggplot.component = NULL,
output = "plot",
...
)
```

## Arguments

- data
A data frame (or a tibble) from which variables specified are to be taken. Other data types (e.g., matrix,table, array, etc.) will

**not**be accepted. Additionally, grouped data frames from`{dplyr}`

should be ungrouped before they are entered as`data`

.- x
The grouping (or independent) variable from

`data`

. In case of a repeated measures or within-subjects design, if`subject.id`

argument is not available or not explicitly specified, the function assumes that the data has already been sorted by such an id by the user and creates an internal identifier. So if your data is**not**sorted, the results*can*be inaccurate when there are more than two levels in`x`

and there are`NA`

s present. The data is expected to be sorted by user in subject-1,subject-2, ..., pattern.- y
The response (or outcome or dependent) variable from

`data`

.- plot.type
Character describing the

*type*of plot. Currently supported plots are`"box"`

(for only boxplots),`"violin"`

(for only violin plots), and`"boxviolin"`

(for a combination of box and violin plots; default).- type
A character specifying the type of statistical approach:

`"parametric"`

`"nonparametric"`

`"robust"`

`"bayes"`

You can specify just the initial letter.

- pairwise.comparisons
Logical that decides whether pairwise comparisons are to be displayed (default:

`TRUE`

). Please note that only**significant**comparisons will be shown by default. To change this behavior, select appropriate option with`pairwise.display`

argument. The pairwise comparison dataframes are prepared using the`pairwise_comparisons`

function. For more details about pairwise comparisons, see the documentation for that function.- pairwise.display
Decides

*which*pairwise comparisons to display. Available options are:`"significant"`

(abbreviation accepted:`"s"`

)`"non-significant"`

(abbreviation accepted:`"ns"`

)`"all"`

You can use this argument to make sure that your plot is not uber-cluttered when you have multiple groups being compared and scores of pairwise comparisons being displayed.

- p.adjust.method
Adjustment method for

*p*-values for multiple comparisons. Possible methods are:`"holm"`

(default),`"hochberg"`

,`"hommel"`

,`"bonferroni"`

,`"BH"`

,`"BY"`

,`"fdr"`

,`"none"`

.- effsize.type
Type of effect size needed for

*parametric*tests. The argument can be`"eta"`

(partial eta-squared) or`"omega"`

(partial omega-squared).- 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.- 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
Label for

`x`

axis variable. If`NULL`

(default), variable name for`x`

will be used.- ylab
Labels for

`y`

axis variable. If`NULL`

(default), variable name for`y`

will be used.- caption
The text for the plot caption. This argument is relevant only if

`bf.message = FALSE`

.- title
The text for the plot title.

- subtitle
The text for the plot subtitle. Will work only if

`results.subtitle = FALSE`

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

`k = 2L`

).- var.equal
a logical variable indicating whether to treat the two variances as being equal. If

`TRUE`

then the pooled variance is used to estimate the variance otherwise the Welch (or Satterthwaite) approximation to the degrees of freedom is used.- conf.level
Scalar between

`0`

and`1`

. If unspecified, the defaults return`95%`

confidence/credible intervals (`0.95`

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

`100L`

).- 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.- 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.- centrality.point.args, centrality.label.args
A list of additional aesthetic arguments to be passed to

`geom_point`

and`ggrepel::geom_label_repel`

geoms, which are involved in mean plotting.- outlier.tagging
Decides whether outliers should be tagged (Default:

`FALSE`

).- outlier.label
Label to put on the outliers that have been tagged. This

**can't**be the same as`x`

argument.- outlier.coef
Coefficient for outlier detection using Tukey's method. With Tukey's method, outliers are below (1st Quartile) or above (3rd Quartile)

`outlier.coef`

times the Inter-Quartile Range (IQR) (Default:`1.5`

).- outlier.shape
Hiding the outliers can be achieved by setting

`outlier.shape = NA`

. Importantly, this does not remove the outliers, it only hides them, so the range calculated for the`y`

-axis will be the same with outliers shown and outliers hidden.- outlier.color
Default aesthetics for outliers (Default:

`"black"`

).- outlier.label.args
A list of additional aesthetic arguments to be passed to

`ggrepel::geom_label_repel`

for outlier label plotting.- point.args
A list of additional aesthetic arguments to be passed to the

`geom_point`

displaying the raw data.- violin.args
A list of additional aesthetic arguments to be passed to the

`geom_violin`

.- ggsignif.args
A list of additional aesthetic arguments to be passed to

`ggsignif::geom_signif`

.- ggtheme
A

`{ggplot2}`

theme. Default value is`ggstatsplot::theme_ggstatsplot()`

. Any of the`{ggplot2}`

themes (e.g.,`theme_bw()`

), or themes from extension packages are allowed (e.g.,`ggthemes::theme_fivethirtyeight()`

,`hrbrthemes::theme_ipsum_ps()`

, etc.). But note that sometimes these themes will remove some of the details that`{ggstatsplot}`

plots typically contains. For example, if relevant,`ggbetweenstats()`

shows details about multiple comparison test as a label on the secondary Y-axis. Some themes (e.g.`ggthemes::theme_fivethirtyeight()`

) will remove the secondary Y-axis and thus the details as well.- package, palette
Name 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.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.- 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`

.- ...
Currently ignored.

## Details

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

## Examples

```
# \donttest{
if (require("PMCMRplus")) {
# to get reproducible results from bootstrapping
set.seed(123)
library(ggstatsplot)
# simple function call with the defaults
ggbetweenstats(mtcars, am, mpg)
# more detailed function call
ggbetweenstats(
data = morley,
x = Expt,
y = Speed,
type = "robust",
xlab = "The experiment number",
ylab = "Speed-of-light measurement",
pairwise.comparisons = TRUE,
p.adjust.method = "fdr",
outlier.tagging = TRUE,
outlier.label = Run
)
}
# }
```