knitr::opts_chunk$set( echo = TRUE, warning = FALSE, message = FALSE, comment = "# >" )
First, load ggplot2 alongside envalysis.
library(envalysis) library(ggplot2)
The following code chunk plots the ggplot2 mtcars
sample data set with the
default ggplot2 theme.
data("mtcars") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, color = factor(gear))) + labs( title = "Fuel economy declines as weight increases", subtitle = "(1973-74)", caption = "Data from the 1974 Motor Trend US magazine.", x = "Weight (1000 lbs)", y = "Fuel economy (mpg)", colour = "Gears" ) + facet_wrap( ~ am, labeller = labeller(am = c("0" = "Automatic", "1" = "Manual"))) p
theme_publish()
Adding theme_publish()
applies the custom theme.
p + theme_publish()
theme_publish()
allows for changing the base font face, font size, and
line widths. More arguments may be passed to ggplot2's theme_bw()
p + theme_publish(base_size = 16, base_family = "Times", base_linewidth = 0.7)
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