ggbetweenstats

0th

Percentile

violin plots for group or condition comparisons

Violin plots for between-subjects designs with statistical details included in the plot as a subtitle.

Arguments
data

Dataframe from which variables specified are preferentially to be taken.

x

The grouping variable.

y

The response - a vector of length the number of rows of x.

xlab

Label for x axis variable.

ylab

Label for y axis variable.

type

Type of statistic expected ("parametric" or "nonparametric" or "robust").Corresponding abbreviations are also accepted: "p" (for parametric), "np" (nonparametric), "r" (robust), resp.

effsize.type

Type of effect size needed for parametric tests ("biased" (Cohen's d for t-test; partial eta-squared for anova) or "unbiased" (Hedge's g for t-test; partial omega-squared for anova)).

title

The text for the plot title.

caption

The text for the plot caption.

k

Number of decimal places expected for results.

var.equal

A logical variable indicating whether to treat the two variances as being equal (Default: FALSE).

nboot

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

outlier.color

Default aesthetics for outliers.

outlier.tagging

Decides whether outliers should be tagged (Default: FALSE).

outlier.label

Label to put on the outliers that have been tagged.

outlier.coef

Coefficient for outlier detection using Tukey's method. With Tukey<U+2019>s method, outliers are below (1st Quartile) or above (3rd Quartile) outlier.coef times the Inter-Quartile Range (IQR) (Default: 1.5).

mean.plotting

Decides whether mean is to be highlighted and its value to be displayed (Default: TRUE).

mean.color

Color for the data point corresponding to mean.

messages

Decides whether messages references, notes, and warnings are to be displayed (Default: TRUE).

Aliases
  • ggbetweenstats
Examples
# NOT RUN {
# to get reproducible results from bootstrapping
set.seed(123)

# simple function call with the defaults
ggstatsplot::ggbetweenstats(
data = datasets::iris,
x = Species,
y = Sepal.Length
)

# more detailed function call
ggstatsplot::ggbetweenstats(
data = datasets::ToothGrowth,
x = supp,
y = len,
xlab = "Supplement type",
ylab = "Tooth length",
outlier.tagging = TRUE)

# }
Documentation reproduced from package ggstatsplot, version 0.0.2, License: GPL-3 | file LICENSE

Community examples

Looks like there are no examples yet.