point.path
Logical that decides whether individual data
points and means, respectively, should be connected using geom_path
. Both
default to TRUE
. Note that point.path
argument is relevant only when
there are two groups (i.e., in case of a t-test). In case of large number
of data points, it is advisable to set point.path = FALSE
as these lines
can overwhelm the plot.
mean.path
Logical that decides whether individual data
points and means, respectively, should be connected using geom_path
. Both
default to TRUE
. Note that point.path
argument is relevant only when
there are two groups (i.e., in case of a t-test). In case of large number
of data points, it is advisable to set point.path = FALSE
as these lines
can overwhelm the plot.
mean.path.args
A list of additional aesthetic
arguments passed on to geom_path
connecting raw data points and mean
points.
point.path.args
A list of additional aesthetic
arguments passed on to geom_path
connecting raw data points and mean
points.
type
Type of statistic expected ("parametric"
or "nonparametric"
or "robust"
or "bayes"
).Corresponding abbreviations are also accepted:
"p"
(for parametric), "np"
(nonparametric), "r"
(robust), or
"bf"
resp.
pairwise.comparisons
Logical that decides whether pairwise comparisons
are to be displayed (default: FALSE
). 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
pairwiseComparisons::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"
) or
"non-significant"
(abbreviation accepted: "ns"
) or
"everything"
/"all"
. The default is "significant"
. 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 "biased"
(equivalent to "d"
for Cohen's d for
t-test; "partial_eta"
for partial eta-squared for anova) or
"unbiased"
(equivalent to "g"
Hedge's g for t-test;
"partial_omega"
for partial omega-squared for anova)).
partial
If TRUE
, return partial indices.
bf.prior
A number between 0.5
and 2
(default 0.707
), the prior
width to use in calculating Bayes factors.
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.
caption
The text for the plot caption.
subtitle
The text for the plot subtitle. Will work only if
results.subtitle = FALSE
.
sample.size.label
Logical that decides whether sample size information
should be displayed for each level of the grouping variable x
(Default:
TRUE
).
k
Number of digits after decimal point (should be an integer)
(Default: k = 2
).
conf.level
Scalar between 0 and 1. If unspecified, the defaults return
95%
lower and upper confidence intervals (0.95
).
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. If you
get error stating "Standard error cannot be computed because of Winsorized
variance of 0 (e.g., due to ties). Try to decrease the trimming level.",
try to play around with the value of tr
, which is by default set to
0.1
. Lowering the value might help.
mean.plotting
Logical that decides whether mean is to be highlighted
and its value to be displayed (Default: TRUE
).
mean.ci
Logical that decides whether 95%
confidence interval for
mean is to be displayed (Default: FALSE
).
mean.point.args
A list of additional aesthetic
arguments to be passed to ggplot2::geom_point
and
ggrepel::geom_label_repel
geoms involved mean value plotting.
mean.label.args
A list of additional aesthetic
arguments to be passed to ggplot2::geom_point
and
ggrepel::geom_label_repel
geoms involved mean value plotting.
notch
A logical. If FALSE
(default), a standard box plot will be
displayed. If TRUE
, a notched box plot will be used. Notches are used to
compare groups; if the notches of two boxes do not overlap, this suggests
that the medians are significantly different. In a notched box plot, the
notches extend 1.58 * IQR / sqrt(n)
. This gives a roughly 95%
confidence interval for comparing medians. IQR: Inter-Quartile Range.
notchwidth
For a notched box plot, width of the notch relative to the
body (default 0.5
).
outlier.tagging
Decides whether outliers should be tagged (Default:
FALSE
).
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.label.args
A list of additional aesthetic arguments to be
passed to ggplot2::geom_point
and ggrepel::geom_label_repel
geoms
involved outlier value plotting.
outlier.point.args
A list of additional aesthetic arguments to be
passed to ggplot2::geom_point
and ggrepel::geom_label_repel
geoms
involved outlier value plotting.
violin.args
A list of additional aesthetic arguments to be passed to
the geom_violin
.
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
.
package
Name of package from which the palette is desired as string
or symbol.
palette
Name of palette as string or symbol.
ggplot.component
A 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.
sphericity.correction
Logical that decides whether to apply correction
to account for violation of sphericity in a repeated measures design ANOVA
(Default: TRUE
).