#' plot_inddiv
#'
#' @param res object of class \code{diversity}; output of functions
#' \code{subdiv()}, \code{metadiv()}, or any of the specific subcommunity- or
#' metacommunity-level diversity functions.
#'
plot_inddiv <- function(res) {
res <- asS3(res)
qs <- unique(res$q)
res <- res[,-which(colnames(res)=="q")]
if(length(qs)>1) res <- unique(res)
type <- unique(res$type_name)
N <- length(type)
if(N<=12) cols <- ggthemes::ptol_pal()(N)
if(N>12) cols <- scales::hue_pal()(N)
names(cols) <- type
res <- get_label(res)
res$type_name <- factor(res$type_name)
res$partition_name <- factor(res$partition_name)
ggplot2::ggplot(res) + ggplot2::theme_bw() +
ggplot2::geom_bar(ggplot2::aes_string(x = "partition_name",
y = "diversity",
group = "type_name",
fill = "type_name"),
colour = "black",
stat = "identity",
position = "dodge",
size = 0.5) +
ggplot2::facet_wrap(~measure, labeller = ggplot2::label_parsed) +
ggplot2::scale_fill_manual(values = cols) +
ggplot2::labs(x = bquote("Partition"), y = "Diversity",
fill = "Type") +
ggplot2::theme(aspect.ratio = 1,
panel.border = ggplot2::element_rect(colour = "black",
fill = NA),
panel.grid.minor.x = ggplot2::element_blank(),
strip.background = ggplot2::element_rect(colour = "black",
size = 0.4,
fill = "gray90"),
axis.line = ggplot2::element_blank(),
legend.background = ggplot2::element_rect(fill="transparent"),
legend.key = ggplot2::element_blank())
}
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