View source: R/bruceR-stats_6_plot.R
theme_bruce | R Documentation |
ggplot2
theme that enables Markdown/HTML rich text.A nice ggplot2
theme for scientific publication.
It uses ggtext::element_markdown()
to render Markdown/HTML formatted rich text.
You can use a combination of Markdown and/or HTML syntax
(e.g., "*y* = *x*<sup>2</sup>"
) in plot text or title,
and this function draws text elements with rich text format.
For more usage, see:
ggtext::geom_richtext()
ggtext::geom_textbox()
ggtext::element_markdown()
ggtext::element_textbox()
theme_bruce(
markdown = FALSE,
base.size = 12,
line.size = 0.5,
border = "black",
bg = "white",
panel.bg = "white",
tag = "bold",
plot.title = "bold",
axis.title = "plain",
title.pos = 0.5,
subtitle.pos = 0.5,
caption.pos = 1,
font = NULL,
grid.x = "",
grid.y = "",
line.x = TRUE,
line.y = TRUE,
tick.x = TRUE,
tick.y = TRUE
)
markdown |
Use |
base.size |
Basic font size. Defaults to |
line.size |
Line width. Defaults to |
border |
|
bg |
Background color of whole plot. Defaults to To see these colors, you can type:
|
panel.bg |
Background color of panel. Defaults to |
tag |
Font face of tag. Choose from |
plot.title |
Font face of title. Choose from |
axis.title |
Font face of axis text. Choose from |
title.pos |
Title position (0~1). |
subtitle.pos |
Subtitle position (0~1). |
caption.pos |
Caption position (0~1). |
font |
Text font. Only applicable to Windows system. |
grid.x |
|
grid.y |
|
line.x |
Draw the x-axis line. Defaults to |
line.y |
Draw the y-axis line. Defaults to |
tick.x |
Draw the x-axis ticks. Defaults to |
tick.y |
Draw the y-axis ticks. Defaults to |
A theme object that should be used for ggplot2
.
## Example 1 (bivariate correlation)
d = as.data.table(psych::bfi)
added(d, {
E = .mean("E", 1:5, rev=c(1,2), range=1:6)
O = .mean("O", 1:5, rev=c(2,5), range=1:6)
})
ggplot(data=d, aes(x=E, y=O)) +
geom_point(alpha=0.1) +
geom_smooth(method="loess") +
labs(x="Extraversion<sub>Big 5</sub>",
y="Openness<sub>Big 5</sub>") +
theme_bruce(markdown=TRUE)
## Example 2 (2x2 ANOVA)
d = data.frame(X1 = factor(rep(1:3, each=2)),
X2 = factor(rep(1:2, 3)),
Y.mean = c(5, 3, 2, 7, 3, 6),
Y.se = rep(c(0.1, 0.2, 0.1), each=2))
ggplot(data=d, aes(x=X1, y=Y.mean, fill=X2)) +
geom_bar(position="dodge", stat="identity", width=0.6, show.legend=FALSE) +
geom_errorbar(aes(x=X1, ymin=Y.mean-Y.se, ymax=Y.mean+Y.se),
width=0.1, color="black", position=position_dodge(0.6)) +
scale_y_continuous(expand=expansion(add=0),
limits=c(0,8), breaks=0:8) +
scale_fill_brewer(palette="Set1") +
labs(x="Independent Variable (*X*)", # italic X
y="Dependent Variable (*Y*)", # italic Y
title="Demo Plot<sup>bruceR</sup>") +
theme_bruce(markdown=TRUE, border="")
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