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) <- c('age', 'educ', 'black', 'hisp', 'married', 'nodegr') confounders # plot balance across treatment and control groups <- plot_balance(.data = lalonde, p treatment = 'treat', confounders = confounders) p
+ p 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())
$data p#> # 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