plot_fish_diversity <- function(data_filtered, sel_geom, facet_maa) {
data_aggreg <- aggregate_data(data_filtered, 'species')
data_summary <- summarySE(data_aggreg, 'species', facet_maa)
years <- sort(unique(data_summary$year))
out <- list(data = data_summary)
p <- plot_bar(
data = data_summary,
x = "year",
y = "species",
fill = "location_status",
title = "Fish diversity",
y_label = "Number of unique species",
years = years
)
if (sel_geom == "Distribution plots") {
if (facet_maa) {
data_local <- data_aggreg # diversity is a special case for this
} else {
# this feels a bit sneaky but it should work: pretend we're faceting maa so
# calculate data_summary in that case BUT call it data_local
data_local <- summarySE(data_aggreg, 'species', !facet_maa) # note the !
}
out$data <- data_local
p <- p + plot_samples(
data_local = data_local,
x = "year",
y = "species",
fill = "location_status"
)
}
out$plot <- p
out
}
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