islands <- c("Canaries", "Comoros", "Galapagos", "Hawaii", "Marquesas",
"New_Caledonia", "SaoTome_Principe")
results_tbl <- daisie_results_as_df(islands = islands)
# plot
ggplot2::ggplot(data = results_tbl) +
ggplot2::geom_point(
mapping = ggplot2::aes(
x = loglik,
y = bic,
colour = island),
size = 4,
alpha = 0.5
)
# explode the points vertically to see the groupings
ggplot2::ggplot(data = results_tbl) +
ggplot2::geom_point(
mapping = ggplot2::aes(
x = loglik,
y = bic,
colour = island
),
size = 4,
alpha = 0.5,
position = ggplot2::position_jitter(height = 100)
)
#plot the individual islands
island <- "Comoros"
ggplot2::ggplot(data = dplyr::filter(results_tbl, island == island)) +
ggplot2::geom_point(
mapping = ggplot2::aes(
x = loglik,
y = bic
),
size = 4,
alpha = 0.5
)
# after outliers are removed
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