Gallery of ggstatsplot examples

Indrajeet Patil

2020-10-05

Gallery of examples

Here are few examples that demonstrate how the basic plots generated by ggstatsplot can be further modified with either with ggplot2 functions or other additional geoms, themes, etc. from ggplot2 extensions. This is because the class of the object from all functions is still ggplot.

Example-1: ggscatterstats

# for reproducibility
set.seed(123)

# plot
ggstatsplot::ggscatterstats(
  data = ggplot2::msleep,
  x = brainwt,
  y = sleep_total,
  xlab = "Brain weight (in kilograms)",
  ylab = "Total amount of sleep (in hours)",
  label.var = "name",
  title = "Mammalian sleep",
  marginal = FALSE,
  type = "robust"
) + # further modifications with `ggplot2`
  ggplot2::geom_rug(sides = "b") +
  ggplot2::scale_x_log10()
#> Registered S3 method overwritten by 'broom.mixed':
#>   method      from 
#>   tidy.gamlss broom
#> Registered S3 methods overwritten by 'lme4':
#>   method                          from
#>   cooks.distance.influence.merMod car 
#>   influence.merMod                car 
#>   dfbeta.influence.merMod         car 
#>   dfbetas.influence.merMod        car

Example-2: ggbetweenstats

# for reproducibility
set.seed(123)

# needed library (download from GitHub)
if (isFALSE("ggpomological" %in% installed.packages())) {
  devtools::install_github("gadenbuie/ggpomological")
}

# setup
library(ggpomological)

# basic plot
p <-
  ggstatsplot::ggbetweenstats(
    data = dplyr::filter(
      .data = ggstatsplot::movies_long,
      genre %in% c("Action", "Action Comedy", "Action Drama", "Comedy")
    ),
    x = genre,
    y = rating,
    xlab = "movie genre",
    ylab = "IMDB rating",
    title = "Differences in IMDB ratings by genre"
  ) + # further modifications with `ggplot2`
  ggpomological::theme_pomological_fancy() +
  ggplot2::theme(legend.position = "none")

# add `ggpomological`
ggpomological::paint_pomological(
  pomo_gg = p,
  res = 110,
  width = 1000,
  height = 700
)

Suggestions

If you find any bugs or have any suggestions/remarks, please file an issue on GitHub: https://github.com/IndrajeetPatil/ggstatsplot/issues

Session Information

For details, see- https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/session_info.html