Helper function for ggstatsplot::ggdotplotstats
to apply this
function across multiple levels of a given factor and combining the
resulting plots using ggstatsplot::combine_plots
.
grouped_ggdotplotstats(data, x, y, grouping.var, title.prefix = "Group",
xlab = NULL, ylab = NULL, subtitle = NULL, caption = NULL,
type = "parametric", test.value = 0, bf.prior = 0.707,
bf.message = FALSE, robust.estimator = "onestep",
conf.level = 0.95, nboot = 500, k = 2,
ggtheme = ggplot2::theme_bw(), ggstatsplot.layer = TRUE,
point.color = "black", point.size = 3, point.shape = 16,
results.subtitle = TRUE, centrality.para = "mean",
centrality.color = "blue", centrality.size = 1,
centrality.linetype = "dashed", centrality.line.labeller = TRUE,
centrality.k = 2, test.value.line = FALSE,
test.value.color = "black", test.value.size = 1,
test.value.linetype = "dashed", test.line.labeller = TRUE,
test.k = 0, messages = TRUE, ...)
Dataframe from which variables specified are preferentially to be taken. This argument is optional.
A numeric variable.
Label or grouping variable.
Grouping variable.
Character specifying the prefix text for the fixed plot
title (name of each factor level) (Default: "Group"
).
Label for x
axis variable.
Label for y
axis variable.
The text for the plot subtitle. Will work only if
results.subtitle = FALSE
.
The text for the plot caption.
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.
A number specifying the value of the null hypothesis
(Default: 0
).
A number between 0.5 and 2 (default 0.707
), the prior width
to use in calculating Bayes factors.
Logical that decides whether to display Bayes Factor in
favor of the null hypothesis for parametric test (Default: FALSE
).
If test = "robust"
robust estimator to be used
("onestep"
(Default), "mom"
, or "median"
). For more, see
?WRS2::onesampb
.
A scalar value between 0 and 1. If unspecified, the
default is to return 95%
lower and upper confidence intervals (0.95
).
Number of bootstrap samples for robust one-sample location test
(Default: 100
).
Number of digits after decimal point (should be an integer)
(Default: k = 2
).
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_economist()
,
hrbrthemes::theme_ipsum_ps()
, ggthemes::theme_fivethirtyeight()
, etc.).
Logical that decides whether theme_ggstatsplot
theme elements are to be displayed along with the selected ggtheme
(Default: TRUE
).
Character describing color for the point (Default:
"black"
).
Numeric specifying size for the point (Default: 3
).
Numeric specifying shape to draw the points (Default: 16
(a dot)).
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.
Decides which measure of central tendency ("mean"
or "median"
) is to be displayed as a vertical line.
Decides color for the vertical line for centrality
parameter (Default: "blue"
).
Decides size for the vertical line for centrality
parameter (Default: 1.2
).
Decides linetype for the vertical line for
centrality parameter (Default: "dashed"
).
A logical that decides whether line labels
should be displayed for the centrality.para line (Default: TRUE
).
Integer denoting the number of decimal places expected
for centrality parameter label. (Default: 2
).
Decides whether test value is to be displayed as a
vertical line (Default: FALSE
).
Decides color for the vertical line denoting test
value (Default: "black"
).
Decides size for the vertical line for test value
(Default: 1.2
).
Decides linetype for the vertical line for test
value (Default: "dashed"
).
A logical that decides whether line labels should
be displayed for test.value line (Default: TRUE
).
Integer denoting the number of decimal places expected for
test.value
label. (Default: 0
).
Decides whether messages references, notes, and warnings are
to be displayed (Default: TRUE
).
Arguments passed on to combine_plots
String or plotmath expression to be drawn as title for the combined plot.
Text color for title.
Point size of title text.
Vertical justification for title. Default = 0.5
(centered on y
). 0
= baseline at y
, 1
= ascender at y
.
Horizontal justification for title. Default = 0.5
(centered on x
). 0
= flush-left at x, 1
= flush-right.
The font face ("plain"
, "bold"
(default),
"italic"
, "bold.italic"
) for title.
String or plotmath expression to be drawn as the caption for the combined plot.
Text color for caption.
Point size of title text.
Vertical justification for caption. Default = 0.5
(centered on y). 0
= baseline at y, 1
= ascender at y.
Horizontal justification for caption. Default = 0.5
(centered on x). 0
= flush-left at x, 1
= flush-right.
The font face ("plain"
(default), "bold"
,
"italic"
, "bold.italic"
) for caption.
The label with which the combined plot should be annotated. Can be a plotmath expression.
Text color for annotation label (Default: "black"
).
Point size of annotation text (Default: 12
).
The x position of annotation label (Default: 0.5
).
The y position of annotation label (Default: 0.5
).
Horizontal justification for annotation label (Default:
0.5
).
Vertical justification for annotation label (Default:
0.5
).
Vertical padding. The total vertical space added to the
label, given in grid units. By default, this is added equally above and
below the label. However, by changing the y and vjust parameters, this can
be changed (Default: grid::unit(1, "lines")
).
The font face ("plain"
(default), "bold"
, "italic"
,
"bold.italic"
) for the annotation label.
Angle at which annotation label is to be drawn (Default:
0
).
Line height of annotation label.
Numerical vector of relative columns heights while combining (title, plot, caption).
Numerical vector of relative columns heights while combining (title, plot).
Numerical vector of relative columns heights while combining (plot, caption).
# NOT RUN {
set.seed(123)
# creating a dataframe with summary
(df_summarized <-
groupedstats::grouped_summary(
data = ggstatsplot::intent_morality,
grouping.vars = c(condition, harm),
measures = rating
))
# plot
ggstatsplot::grouped_ggdotplotstats(
data = df_summarized,
x = mean,
y = harm,
grouping.var = condition,
xlab = "moral judgment (average)",
ylab = "type of harm",
title.prefix = "intentional status",
point.color = "red",
point.shape = 18,
point.size = 5,
centrality.para = FALSE
)
# }
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