plotBart uses ggplot2 to construct plots. These functions return ggplot objects that can be manipulated similar to standard ggplot2::ggplot() calls. Plot titles, subtitles, labels, captions, and themes can be easily customized using ggplot syntax.
library(plotBart)
data(lalonde)
confounders <- c('age', 'educ', 'black', 'hisp', 'married', 'nodegr')
# plot balance across treatment and control groups
p <- plot_balance(.data = lalonde,
treatment = 'treat',
confounders = confounders)
pp +
labs(title = 'My comments on the results',
subtitle = NULL,
caption = 'December 2021',
x = 'Mean diff b/t treatment and control')p +
theme_classic()# set the theme for all plots within this R session
theme_set(theme_bw())p$data
#> # A tibble: 6 × 2
#> name diff
#> <chr> <dbl>
#> 1 age 0.107
#> 2 black 0.0438
#> 3 educ 0.144
#> 4 hisp -0.170
#> 5 married 0.0943
#> 6 nodegr -0.306