inst/tinytest/test_ggchicklet.R

library(ggplot2)
library(ggchicklet)

data("debates2019")

spkr_ordr <- aggregate(elapsed ~ speaker, data = debates2019, sum)
spkr_ordr <- spkr_ordr[order(spkr_ordr[["elapsed"]]),]

debates2019$speaker <- factor(debates2019$speaker, spkr_ordr$speaker)

ggplot(debates2019) +
  geom_chicklet(aes(speaker, elapsed, group = timestamp, fill = topic)) -> gg

print(gg)

ggplot_build(gg) -> gb

ggplot_gtable(gb) -> gt

expect_true(
  all(c("GeomChicklet", "GeomRrect") %in% class(gb$plot$layers[[1]]$geom))
)
hrbrmstr/ggchicklet documentation built on July 9, 2022, 2:45 p.m.